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Valoración del riesgo para la prevención primaria de las enfermedades cardiovasculares

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Referencias

Referencias de los estudios incluidos en esta revisión

Benner 2008 {published data only}

Benner JS, Cherry SB, Erhardt L, Fernandes M, Flammer M, Gaciong Z, et al. Rationale, design, and methods for the risk evaluation and communication health outcomes and utilization trial (REACH OUT). Contemporary Clinical Trials 2007;28:662-73. CENTRAL
Benner JS, Erhardt L, Flammer M, Moller RA, Rajicic N, Changela K, et al. A novel programme to evaluate and communicate 10-year risk of CHD reduces predicted risk and improves patients' modifiable risk factor profile. International Journal of Clinical Practice 2008;62:1484-98. CENTRAL

Bertoni 2009 {published data only}

Bertoni AG, Bonds DE, Chen H, Hogan P, Crago L, Rosenberger E, et al. Impact of a multifaceted intervention on cholesterol management in primary care practices: guideline adherence for heart health randomized trial. Archives of Internal Medicine 2009;169:678-86. CENTRAL

British Family Heart 1994 {published data only}

Family Heart Study Group. British family heart study: its design and method, and prevalence of cardiovascular risk factors. British Journal of General Practice 1994;44:62-7. CENTRAL
Family Heart Study Group. Randomised controlled trial evaluating cardiovascular screening and intervention in general practice: principal results of British family heart study. BMJ 1994;308:313-20. CENTRAL

Bucher 2010 {published data only}

Bucher HC, Rickenbach M, Young J, Glass TR, Vallet Y, Bernasconi E, et al. Randomized trial of a computerized coronary heart disease risk assessment tool in HIV-infected patients receiving combination antiretroviral therapy. Antiviral Therapy 2010;15(1):31-40. CENTRAL

Christensen 2004 {published data only}

Christensen B, Engberg M, Lauritzen T. No long-term psychological reaction to information about increased risk of coronary heart disease in general practice. European Journal of Cardiovascular Prevention and Rehabilitation 2004;11(3):239-43. CENTRAL

Cobos 2005 {published data only}

Cobos A, Vilaseca J, Asenjo C, Pedro-Botet J, Sanchez E, Val A, et al. Cost effectiveness of a clinical decision support system based on the recommendations of the European Society of Cardiology and other societies for the management of hypercholesterolemia: Report of a cluster-randomized trial. Disease Management and Health Outcomes 2005;13(6):421-32. CENTRAL

Denig 2014 {published data only}

Denig P, Dun M, Schuling J, Haaijer-Ruskamp FM, Voorham J. The effect of a patient-oriented treatment decision aid for risk factor management in patients with diabetes (PORTDA-diab): study protocol for a randomised controlled trial. Trials 2012;13:219. CENTRAL
Denig P, Schuling J, Haaijer-Ruskamp F, Voorham J. Effects of a patient oriented decision aid for prioritising treatment goals in diabetes: pragmatic randomised controlled trial. BMJ 2014;349:g5651. CENTRAL

Eaton 2011 {published and unpublished data}

Eaton CB, Parker DR, Borkan J, McMurray J, Roberts MB, Lu B, et al. Translating cholesterol guidelines into primary care practice: a multimodal cluster randomized trial. Annals of Family Medicine 2011;9(6):528-37. CENTRAL

Edelman 2006 {published data only}

Edelman D, Oddone EZ, Liebowitz RS, Yancy WS Jr, Olsen MK, Jeffreys AS, et al. A multidimensional integrative medicine intervention to improve cardiovascular risk. Journal of General Internal Medicine 2006;21(7):728-34. CENTRAL

Engberg 2002 {published data only}

Engberg M, Christensen B, Karlsmose B, Lous J, Lauritzen T. Can systematic general health checks and health discussions improve the cardiovascular risk profile in the population?: A randomized and controlled study in general practice with five years follow-up [Kan systematiske generelle helbredsundersøgelser og helbredssamtaler forbedre den kardiovaskulaere risikoprofil i befolkningen?: En randomiseret og kontrolleret undersøgelse i almen praksis med fem års opfølgning]. Ugeskrift for Laeger 2002;164:3354-60. CENTRAL
Engberg M, Christensen B, Karlsmose B, Lous J, Lauritzen T. General health screenings to improve cardiovascular risk profiles: a randomized controlled trial in general practice with 5-year follow-up. Journal of Family Practice 2002;51:546-52. CENTRAL
Lauritzen T, Leboeuf-Yde C, Lunde IM, Nielsen KD. Ebeltoft project: baseline data from a five-year randomized, controlled, prospective health promotion study in a Danish population. British Journal of General Practice 1995;45:542-7. CENTRAL

Grover 2007 {published data only}

Grover SA, Lowensteyn I, Joseph L, Kaouache M, Marchand S, Coupal L, et al. Discussing coronary risk with patients to improve blood pressure treatment: secondary results from the CHECK-UP study. Journal of General Internal Medicine 2009;24:33-9. CENTRAL
Grover SA, Lowensteyn I, Joseph L, Kaouache M, Marchand S, Coupal L, et al. Patient knowledge of coronary risk profile improves the effectiveness of dyslipidemia therapy - The CHECK-UP study: a randomized controlled trial. Archives of Internal Medicine 2007;167:2296-303. CENTRAL

Hall 2003 {published data only}

Hall LM, Jung RT, Leese GP. Controlled trial of effect of documented cardiovascular risk scores on prescribing. BMJ 2003;326:251-2. CENTRAL

Hanlon 1995 {published data only}

Hanlon P, McEwen J, Carey L, Gilmour H, Tannahill C, Tannahill A, et al. Health checks and coronary risk: further evidence from a randomised controlled trial. BMJ 1995;311:1609-13. CENTRAL

Hanon 2000 {published data only}

Hanon O, Franconi G, Mourad JJ, Baleydier A, Croce I, Girerd X. The estimation of cardiovascular risk in hypertensive patients is not modified by management of the hypertension [L'estimation du risque cardiovasculaire chez des patients hypertendus ne modifie pas la prise en charge de l'HTA]. Archives des Maladies du Coeur et des Vaisseaux 2000;93(8):943-7. CENTRAL

Hetlevik 1999 {published data only}

Hetlevik I, Holmen J, Kruger O. Implementing clinical guidelines in the treatment of hypertension in general practice. Evaluation of patient outcome related to implementation of a computer-based clinical decision support system. Scandinavian Journal of Primary Health Care 1999;17:35-40. CENTRAL

Holt 2010 {published data only}

Holt TA, Thorogood M, Griffiths F, Munday S, Friede T, Stables D. Automated electronic reminders to facilitate primary cardiovascular disease prevention: randomised controlled trial. British Journal of General Practice 2010;60:e137-43. CENTRAL
Holt TA, Thorogood M, Griffiths F, Munday S. Protocol for the 'e-Nudge trial': A randomised controlled trial of electronic feedback to reduce the cardiovascular risk of individuals in general practice [ISRCTN64828380]. Trials 2006;7:11. CENTRAL

Jacobson 2006 {published data only}

Jacobson TA, Gutkin SW, Harper CR. Effects of a global risk educational tool on primary coronary prevention: the Atherosclerosis Assessment ViaTotal Risk (AVIATOR) study. Current Medical Research and Opinion 2006;22:1065-73. CENTRAL

Jorgensen 2014 {published data only}

Baumann S, Toft U, Aadahl M, Jorgensen T, Pisinger C. The long-term effect of screening and lifestyle counseling on changes in physical activity and diet: the Inter99 Study - a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2015;12:33. CENTRAL
Jorgensen T, Jacobsen RK, Toft U, Aadahl M, Glumer C, Pisinger C. Effect of screening and lifestyle counselling on incidence of ischaemic heart disease in general population: Inter99 randomised trial. BMJ 2014;348:g3617. CENTRAL
Jorgensen T, Ladelund S, Borch-Johnsen K, Pisinger C, Schrader AM, Thomsen T, et al. Screening for risk of cardiovascular disease is not associated with mental distress: the Inter99 study. Preventive Medicine 2009;48:242-6. CENTRAL
Pisinger C, Glumer C, Toft U, von Huth Smith L, Aadahl M, Borch-Johnsen K, et al. High risk strategy in smoking cessation is feasible on a population-based level. The Inter99 study. Preventive Medicine 2008;46(6):579-84. CENTRAL
Toft U, Kristoffersen L, Ladelund S, Ovesen L, Lau C, Borch-Johnsen K, et al. The impact of a population-based multi-factorial lifestyle intervention on changes in long-term dietary habits: the Inter99 study. Preventive Medicine 2008;47(4):378-83. CENTRAL
Von Huth Smith L, Ladelund S, Borch-Johnsen K, Jorgensen T. A randomized multifactorial intervention study for prevention of ischaemic heart disease (Inter99): the long-term effect on physical activity. Scandinavian Journal of Public Health 2008;36(4):380-8. CENTRAL

Koelewijn‐van Loon 2010 {published data only}

Koelewijn-van Loon MS, van der Weijden T, Ronda G, van Steenkiste B, Winkens B, Elwyn G, et al. Improving lifestyle and risk perception through patient involvement in nurse-led cardiovascular risk management: a cluster-randomized controlled trial in primary care. Preventive Medicine 2010;50(1-2):35-44. CENTRAL
Koelewijn-van Loon MS, van der Weijden T, van Steenkiste B, Ronda G, Winkens B, Severens JL, et al. Involving patients in cardiovascular risk management with nurse-led clinics: a cluster randomized controlled trial. Canadian Medical Association Journal 2009;181(12):E267-E274. CENTRAL
Koelewijn-van Loon MS, van Steenkiste B, Ronda G, Wensing M, Stoffers HE, Elwyn G, et al. Improving patient adherence to lifestyle advice (IMPALA): a cluster-randomised controlled trial on the implementation of a nurse-led intervention for cardiovascular risk management in primary care [protocol]. BMC Health Services Research 2008;8:9. CENTRAL

Krones 2008 {published data only}

Keller H, Krones T, Becker A, Hirsch O, Sonnichsen AC, Popert U, et al. Arriba: effects of an educational intervention on prescribing behaviour in prevention of CVD in general practice. European Journal of Preventive Cardiology 2012;19(3):322-9. CENTRAL
Krones T, Keller H, Sonnichsen A, Sadowski EM, Baum E, Wegscheider K, et al. Absolute cardiovascular disease risk and shared decision making in primary care: a randomized controlled trial. Annals of Family Medicine 2008;6:218-27. CENTRAL

Lopez‐Gonzalez 2015 {published data only}

Lopez-Gonzalez AA, Aguilo A, Frontera M, Bennasar-Veny M, Campos I, Vicente-Herrero T, et al. Effectiveness of the Heart Age tool for improving modifiable cardiovascular risk factors in a Southern European population: a randomized trial. European Journal of Preventive Cardiology 2015;22(3):389-96. CENTRAL

Lowensteyn 1998 {published data only}

Lowensteyn I, Joseph L, Levinton C, Abrahamowicz M, Steinert Y, Grover S. Can computerized risk profiles help patients improve their coronary risk? The results of the Coronary Health Assessment Study (CHAS). Preventive Medicine 1998;27(5 Pt 1):730-7. CENTRAL

Mann 2010 {published data only}

Mann DM, Ponieman D, Montori VM, Arciniega J, McGinn T. The Statin Choice decision aid in primary care: a randomized trial. Patient Education and Counseling 2010;80:138-140. CENTRAL

Montgomery 2000 {published data only}

Fahey T, Montgomery AA, Peters TJ. Randomized trial evaluating the framing of cardiovascular risk and its impact on blood pressure control [ISRCTN87597585]. BMC Health Services Research 2001;1:10. CENTRAL
Montgomery AA, Fahey T, Peters TJ, MacIntosh C, Sharp DJ. Evaluation of computer based clinical decision support system and risk chart for management of hypertension in primary care: randomised controlled trial. BMJ 2000;320:686-90. CENTRAL

Montgomery 2003 {published data only}

Emmett CL, Montgomery AA, Peters TJ, Fahey T. Three-year follow-up of a factorial randomised controlled trial of two decision aids for newly diagnosed hypertensive patients. British Journal of General Practice 2005;55:551-3. CENTRAL
Montgomery AA, Fahey T, Peters TJ. A factorial randomised controlled trial of decision analysis and an information video plus leaflet for newly diagnosed hypertensive patients. British Journal of General Practice 2003;53:446-53. CENTRAL

Peiris 2015 {published data only}

Panaretto KS, Peiris D, Usherwood T, Harris M, Hunt J, Patel A. Health Tracker: does electronic decision support improve identification and management of cardiovascular risk in Australian primary health care? Circulation 2012;125:e808. CENTRAL
Peiris D, Usherwood T, Panaretto K, Harris M, Hunt J, Patel B, et al. The treatment of cardiovascular risk in primary care using electronic decision support (TORPEDO) study: Intervention development and protocol for a cluster randomised, controlled trial of an electronic decision support and quality improvement intervention in Australian primary healthcare. BMJ Open 2012;2(6):e002177. CENTRAL
Peiris D, Usherwood T, Panaretto K, Harris M, Hunt J, Redfern J, et al. Effect of a computer-guided, quality improvement program for cardiovascular disease risk management in primary health care: the treatment of cardiovascular risk using electronic decision support cluster-randomized trial. Circulation: Cardiovascular Quality and Outcomes 2015;8:87-95. CENTRAL
Peiris D, Usherwood T, Panaretto K, Harris M, Hunt J, Zwar N, et al. Effect of a multi-faceted quality improvement intervention to improve cardiovascular disease risk identification and management in Australian primary health care: the torpedo cluster-randomised trial. Global Heart 2014;9:e28. CENTRAL

Perestelo‐Perez 2016 {published data only}

Perestelo-Perez L, Rivero-Santana A, Boronat M, Sanchez-Afonso JA, Perez-Ramos J, Montori VM, et al. Effect of the statin choice encounter decision aid in Spanish patients with type 2 diabetes: a randomized trial. Patient Education and Counseling 2016;99(2):295-9. CENTRAL

Persell 2013 {published data only}

Persell SD, Lloyd-Jones DM, Friesema EM, Cooper AJ, Baker DW. Electronic health record-based patient identification and individualized mailed outreach for primary cardiovascular disease prevention: a cluster randomized trial. Journal of General Internal Medicine 2013;28(4):554-60. CENTRAL
Persell SD, Lloyd-Jones DM, Friesma EM, Cooper AJ, Baker DW. Electronic health record-based patient identification and individualized mailed outreach for primary cardiovascular disease prevention: a cluster randomized trial. Journal of General Internal Medicine 2012;27:S181-2. CENTRAL

Persell 2015 {published data only}

Persell SD, Brown T, Lee JY, Shah S, Henley E, Long T, et al. Individualized risk communication and outreach for primary cardiovascular disease prevention in community health centers: randomized trial. Circulation: Cardiovascular Quality and Outcomes 2015;8(6):560-6. CENTRAL
Persell SD, Shah S, Brown T, Lee JY, Sanchez T, Knight RG, et al. Individualized risk communication and lay outreach for the primary prevention of cardiovascular disease in community health centers: a randomized controlled trial. Circulation 2014;130:A14008. CENTRAL
Shah S, Brown T, Lee JY, Jean-Jacques M, Kandula NR, Persell SD. Individualized risk communication and lay outreach for the primary prevention of cardiovascular disease in community health centers: preliminary results of a randomized controlled trial. Journal of General Internal Medicine 2014;29:S126. CENTRAL

Price 2011 {published data only}

Price HC, Griffin SJ, Holman RR. Impact of personalized cardiovascular disease risk estimates on physical activity-a randomized controlled trial. Diabetic Medicine 2011;28(3):363-72. CENTRAL
Price HC, Tucker L, Griffin SJ, Holman RR. The impact of individualised cardiovascular disease (CVD) risk estimates and lifestyle advice on physical activity in individuals at high risk of CVD: a pilot 2 x 2 factorial understanding risk trial. Cardiovascular Diabetology 2008;7:21. CENTRAL

Sheridan 2006 {published data only}

Sheridan SL, Shadle J, Simpson RJ Jr, Pignone MP. The impact of a decision aid about heart disease prevention on patients' discussions with their doctor and their plans for prevention: a pilot randomized trial. BMC Health Services Research 2006;6:121. CENTRAL

Sheridan 2011 {published data only}

Sheridan SL, Draeger LB, Pignone MP, Keyserling TC, Simpson RJ Jr, Rimer B, et al. A randomized trial of an intervention to improve use and adherence to effective coronary heart disease prevention strategies. BMC Health Services Research 2011;11:331. CENTRAL
Sheridan SL, Draeger LB, Pignone MP, Rimer B, Bangdiwala SI, Cai J, et al. The effect of a decision aid intervention on decision making about coronary heart disease risk reduction: secondary analyses of a randomized trial. BMC Medical Informatics and Decision Making 2014;14:14. CENTRAL

Soureti 2011 {published data only}

Soureti A, Murray P, Cobain M, van Mechelen W, Hurling R. Web-based risk communication and planning in an obese population: exploratory study. Journal of Medical Internet Research 2011;13:e100. CENTRAL

Turner 2012 {published data only}

Turner BJ, Hollenbeak CS, Liang Y, Pandit K, Joseph S, Weiner MG. A randomized trial of peer coach and office staff support to reduce coronary heart disease risk in African-Americans with uncontrolled hypertension. Journal General Internal Medicine 2012;27:1258-64. CENTRAL

Vagholkar 2014 {published and unpublished data}

Vagholkar S, Zwar N, Jayasinghe UW, Denney-Wilson E, Patel A, Campbell T, et al. Influence of cardiovascular absolute risk assessment on prescribing of antihypertensive and lipid-lowering medications: a cluster randomized controlled trial. American Heart Journal 2014;167(1):28-35. CENTRAL
Wan Q, Harris MF, Zwar N, Campbell T, Patel A, Vagholkar S, et al. Study protocol for a randomized controlled trial: the feasibility and impact of cardiovascular absolute risk assessment in Australian general practice. American Heart Journal 2009;157:436-41. CENTRAL

Van Steenkiste 2007 {published data only}

Van Steenkiste B, van der Weijden T, Stoffers HE, Kester AD, Timmermans DR, Grol R. Improving cardiovascular risk management: a randomized, controlled trial on the effect of a decision support tool for patients and physicians. European Journal of Prevention and Rehabilitation 2007;14:44-50. CENTRAL
Van Steenkiste B, van der Weijden TM, Stoffers JH, Grol RP. Patients' responsiveness to a decision support tool for primary prevention of cardiovascular diseases in primary care 1498. Patient Education and Counseling 2008;72(1):63-70. CENTRAL

Webster 2010 {published data only}

Webster R, Li SCh, Sullivan DR, Jayne K, Su SY, Neal B. Effects of internet-based tailored advice on the use of cholesterol-lowering interventions: a randomized controlled trial. Journal of Medical Internet Research 2010;12(3):e42. CENTRAL

Welschen 2012 {published data only}

Welschen LM, Bot SD, Dekker JM, Timmermans DR, Weijden T, Nijpels G. The @RISK Study: Risk communication for patients with type 2 diabetes: design of a randomised controlled trial. BMC Public Health 2010;10:457. CENTRAL
Welschen LM, Bot SD, Kostense PJ, Dekker JM, Timmermans DR, van der Weijden T, et al. Effects of cardiovascular disease risk communication for patients with type 2 diabetes on risk perception in a randomized controlled trial: the @RISK study. Diabetes Care 2012;35:2485-92. CENTRAL
Welschen LMC, Bot SDM, van der Weijden T, Timmermans DRM, Dekker JM, Nijpels G. Cardiovascular disease risk communication for patients with type 2 diabetes: the @RISK study. Diabetologia 2010;53:S487. CENTRAL

Williams 2006 {published data only}

Williams GC, McGregor H, Sharp D, Kouides RW, Levesque CS, Ryan RM, et al. A self-determination multiple risk intervention trial to improve smokers' health. Journal of General Internal Medicine 2006;21:1288-94. CENTRAL
Williams GC, Minicucci DS, Kouides RW, Levesque CS, Chirkov VI, Ryan RM, et al. Self-determination, smoking, diet and health. Health Education Research 2002;17(5):512-21. CENTRAL

Wister 2007 {published data only}

Wister A, Loewen N, Kennedy-Symonds H, McGowan B, McCoy B, Singer J. One-year follow-up of a therapeutic lifestyle intervention targeting cardiovascular disease risk. Canadian Medical Association Journal 2007;177(8):859-65. CENTRAL

Zullig 2014 {published data only}

Zullig LL, Sanders LL, Shaw RJ, McCant F, Danus S, Bosworth HB. A randomised controlled trial of providing personalised cardiovascular risk information to modify health behaviour. Journal of Telemedicine and Telecare 2014;20:147-52. CENTRAL

Referencias de los estudios excluidos de esta revisión

Ajay 2014 {published data only}

Ajay VS, Tian M, Chen H, Wu Y, Li X, Dunzhu D, et al. A cluster-randomized controlled trial to evaluate the effects of a simplified cardiovascular management program in Tibet, China and Haryana, India: study design and rationale. BMC Public Health 2014;14:924. CENTRAL

Allen 2011 {published data only}

Allen JK, Dennison-Himmelfarb CR, Szanton SL, Bone L, Hill MN, Levine DM, et al. Community Outreach and Cardiovascular Health (COACH) Trial: a randomized, controlled trial of nurse practitioner/community health worker cardiovascular disease risk reduction in urban community health centers. Circulation: Cardiovascular Quality and Outcomes 2011;4(6):595-602. CENTRAL

Avis 1989 {published data only}

Avis NE, Smith KW, McKinlay JB. Accuracy of perceptions of heart attack risk: what influences perceptions and can they be changed? American Journal of Public Health 1989;79(12):1608-12. CENTRAL

Baruth 2011 {published data only}

Baruth M, Wilcox S, Sallis JF, King AC, Marcus BH, Blair SN. Changes in CVD risk factors in the activity counseling trial. International Journal of General Medicine 2011;4:53-62. CENTRAL

Berra 2007 {published data only}

Berra K, Ma J, Klieman L, Hyde S, Monti V, Guardado A, et al. Implementing cardiac risk-factor case management: lessons learned in a county health system. Critical Pathways in Cardiology 2007;6:173-9. CENTRAL

Bjarnason‐Wehrens 2013 {published data only}

Bjarnason-Wehrens B, Albus C, Heming C, Gysan D, Herold G, Latsch J, et al. Can a multimodale intervention improve exercise capacity in patients with high cardiovascular risk on a sustained basis-the PreFord-study. European Journal of Preventive Cardiology 2013;20:S3. CENTRAL
Predel HG, Gysan DB, Albus C, Bjarnason-Wehrens B, Gohlke H, Latsch J, et al. Substantial improvement of primary cardiovascular prevention by a systematic score-based multimodal and lifestyle approach: a randomized endpoint-study-the Preford-study. Circulation 20115;132:A17097. CENTRAL

Black 2014 {published data only}

Black JA, Sharp SJ, Wareham NJ, Sandbaek A, Rutten GE, Lauritzen T, et al. Does early intensive multifactorial therapy reduce modelled cardiovascular risk in individuals with screen-detected diabetes? Results from the ADDITION-Europe cluster randomized trial. Diabetic Medicine 2014;31:647-656. CENTRAL

Botija‐Yague 2007 {published data only}

Botija-Yague MP, Lizan-Tudela L, Gosalbes-Soler V, Bonet-Pla A, Fornos-Garrigos A. How does intensive therapy to control cardiovascular risk factors affect health-related quality of life in diabetic patients? [¿Cómo influye el trata- miento intensivo de los factores de riesgo cardiovascular en la calidad de vida relacionada con la salud de los pacientes diabéticos?]. Atencion Primaria 2007;39:227-34. CENTRAL

Branda 2013 {published data only}

Branda ME, LeBlanc A, Shah ND, Tiedje K, Ruud K, Van Houten H, et al. Shared decision making for patients with type 2 diabetes: a randomized trial in primary care. BMC Health Services Research 2013;13:301. CENTRAL

Brett 2012 {published data only}

Brett T, Arnold-Reed D, Phan C, Cadden F, Walker W, Manea-Walley W, et al. The Fremantle Primary Prevention Study: a multicentre randomised trial of absolute cardiovascular risk reduction. British Journal of General Practice 2012;62:e22-8. CENTRAL

Bruckert 2008 {published data only}

Bruckert E, Giral P, Paillard F, Ferrières J, Schlienger JL, Renucci JF, et al. Effect of an educational program (PEGASE) on cardiovascular risk in hypercholesterolaemic patients. Cardiovascular Drugs and Therapy 2008;22:495-505. CENTRAL

Carrington 2012 {published data only}

Carrington MJ, Schute F, Haluska B, Marwick TH, Holliday J, Stewart S. Preliminary results of the impress study: reducing cardiovascular risk factors in a nurse-led primary intervention program for high risk participants. European Heart Journal 2012;33:1063. CENTRAL

CARRS 2012 {published data only}

CARRS Trial Writing Group, Shah S, Singh K, Ali MK, Mohan V, Kadir MM, et al. Improving diabetes care: multi-component cardiovascular disease risk reduction strategies for people with diabetes in South Asia--the CARRS multi-center translation trial. Diabetes Research and Clinical Practice 2012;98(2):285-94. CENTRAL

Carter 2009 {published data only}

Carter M, Karwalajtys T, Chambers L, Kaczorowski J, Dolovich L, Gierman T, et al. Implementing a standardized community-based cardiovascular risk assessment program in 20 Ontario communities. Health Promotion International 2009;24(4):325-33. CENTRAL

Carter 2015 {published data only}

Carter BL, Coffey CS, Chrischilles EA, Ardery G, Ecklund D, Gryzlak B, et al. A cluster-randomized trial of a centralized clinical pharmacy cardiovascular risk service to improve guideline adherence. Pharmacotherapy 2015;35(7):653-62. CENTRAL

Chow 2009 {published data only}

Chow CK, Joshi R, Gottumukkala AK, Raju K, Raju R, Reddy S, et al. Rationale and design of the Rural Andhra Pradesh Cardiovascular Prevention Study (RAPCAPS): a factorial, cluster-randomized trial of 2 practical cardiovascular disease prevention strategies developed for rural Andhra Pradesh, India. American Heart Journal 2009;158:349-55. CENTRAL

Claes 2007 {published data only}

Claes N, Jacobs N. The PreCardio-study protocol--a randomized clinical trial of a multidisciplinary electronic cardiovascular prevention programme. BMC Cardiovascular Disorders 2007;7:27. CENTRAL

Cleveringa 2008 {published data only}

Cleveringa FG, Gorter KJ, van den Donk M, Rutten GE. Combined task delegation, computerized decision support, and feedback improve cardiovascular risk for type 2 diabetic patients: a cluster randomized trial in primary care. Diabetes Care 2008;31:2273-5. CENTRAL
Cleveringa FG, Welsing PM, van den Donk M, Gorter KJ, Niessen LW, Rutten GE, et al. Cost-effectiveness of the diabetes care protocol, a multifaceted computerized decision support diabetes management intervention that reduces cardiovascular risk. Diabetes Care 2010;33(2):258-63. CENTRAL
Cleveringa FGW, Gorter KJ, van den Donk M, Rutten GEH. Task delegation and computerised decision support improve cardiovascular risk for type 2 diabetes patients. A randomised controlled trial in primary care. Diabetologia 2007;50:S117. CENTRAL

Cochrane 2012 {published data only}

Cochrane T, Davey R, Iqbal Z, Gidlow C, Kumar J, Chambers R, et al. NHS health checks through general practice: randomised trial of population cardiovascular risk reduction. BMC Public Health 2012;12:944. CENTRAL

Colwell 2011 {published data only}

Colwell B, Mathers N, Bradley A, Ng CJ. Does a PDA improve knowledge about treatment choices for patients with type 2 diabetes mellitus when making decisions about starting insulin? Quantitative analysis from the PANDAs study. Diabetologia 2011;54:S406. CENTRAL

Daniels 2012 {published data only}

Daniels EC, Powe BD, Metoyer T, McCray G, Baltrus P, Rust GS. Increasing knowledge of cardiovascular risk factors among African Americans by use of community health workers: the ABCD community intervention pilot project. Journal of the National Medical Association 2012;104(3-4):179-85. CENTRAL

Deales 2014 {published data only}

Deales A, Fratini M, Romano S, Rappelli A, Penco M, Perna GP, et al. Care manager to control cardiovascular risk factors in primary care: the Raffaello cluster randomized trial. Nutrition, Metabolism & Cardiovascular Diseases 2014;24:563-71. CENTRAL
Romano S, Rappelli A, Musilli A, Perna G, Fratini M, Manzoli L, et al. Project Raffaello: Application and evaluation of the disease and care management approach in cardiovascular disease prevention. European Heart Journal 2011;32:219. CENTRAL

Dresser 2009 {published data only}

Dresser GK, Moor R, Khan R, Khanna R, Har BJ. Compliance with prescribed therapy and patient perceptions in the treatment of hypertension. Journal of Clinical Hypertension 2009;11:A57. CENTRAL

Edwards 2006 {published data only}

Edwards A, Thomas R, Williams R, Ellner AL, Brown P, Elwyn G. Presenting risk information to people with diabetes: evaluating effects and preferences for different formats by a web-based randomised controlled trial. Patient Education and Counseling 2006;63:336-49. CENTRAL

El Fakiri 2008 {published data only}

El Fakiri F, Bruijnzeels MA, Uitewaal PJ, Frenken RA, Berg M, Hoes AW. Intensified preventive care to reduce cardiovascular risk in healthcare centres located in deprived neighbourhoods: a randomized controlled trial. European Journal of Cardiovascular Prevention and Rehabilitation 2008;15:488-93. CENTRAL

Evans 2010 {published data only}

Evans CD, Eurich DT, Taylor JG, Blackburn DF. The Collaborative Cardiovascular Risk Reduction in Primary Care (CCARP) study. Pharmacotherapy 2010;30(8):766-75. CENTRAL

Fabregas 2014 {published data only}

Fàbregas M, Berges I, Fina F, Hermosilla E, Coma E, Méndez L, et al. Effectiveness of an intervention designed to optimize statins use: a primary prevention randomized clinical trial. BMC Family Practice 2014;15:135. CENTRAL

Fretheim 2006 {published data only}

Fretheim A, Oxman AD, Havelsrud K, Treweek S, Kristoffersen DT, Bjorndal A. Rational prescribing in primary care (RaPP): a cluster randomized trial of a tailored intervention. PLOS Medicine 2006;3(6):e134. CENTRAL
Fretheim A, Oxman AD, Treweek S, Bjorndal A. Rational Prescribing in Primary Care (RaPP-trial). A randomised trial of a tailored intervention to improve prescribing of antihypertensive and cholesterol-lowering drugs in general practice [ISRCTN48751230]. BMC Health Services Research 2003;3:5. CENTRAL

Freund 2015 {published data only}

Freund N, Friedli BC, Junker T, Zimmermann M, Zellweger MJ. Cardiovascular risk assessment and effects on behavior in Switzerland: the Swiss Heart Foundation HerzCheck(R)/Cardio-Test(R). Open Cardiovascular Medicine Journal 2015;9:35-9. CENTRAL

Gill 2009 {published data only}

Gill JM, Chen YX, Glutting JJ, Diamond JJ, Lieberman MI. Impact of decision support in electronic medical records on lipid management in primary care. Population Health Management 2009;12(5):221-6. CENTRAL

Gomez‐Marcos 2006 {published data only}

Gomez-Marcos MA, Ortiz LG, Gonzalez-Elena LJ, Rodriguez AS. Effectiveness of an intervention to improve quality care in reducing cardiovascular risk in hypertensive patients [Efectividad de una intervención de mejora de calidad en la reducción del riesgo coronario y del riesgo de mortalidad cardiovascular en pacientes hipertensos]. Atencion Primaria 2006;37:498-503. CENTRAL

Green 2014 {published data only}

Green BB, Anderson ML, Cook AJ, Catz S, Fishman PA, McClure JB, et al. e-Care for heart wellness: a feasibility trial to decrease blood pressure and cardiovascular risk. American Journal of Preventive Medicine 2014;46(4):368-77. CENTRAL

Harmsen 2014 {published data only}

Harmsen CG, Jarbøl DE, Nexøe J, Støvring H, Gyrd-Hansen D, Nielsen JB, et al. Impact of effectiveness information format on patient choice of therapy and satisfaction with decisions about chronic disease medication: the Influence of intervention Methodologies on Patient Choice of Therapy (IMPACT) cluster-randomised trial in general practice. BMC Health Services Research 2013;13:76. CENTRAL
Harmsen CG, Kristiansen IS, Larsen PV, Nexoe J, Stovring H, Gyrd-Hansen D, et al. Communicating risk using absolute risk reduction or prolongation of life formats: cluster-randomised trial in general practice. The British Journal of General Practice 2014;64(621):e199-207. CENTRAL

Holbrook 2011 {published data only}

Holbrook A, Pullenayegum E, Thabane L, Troyan S, Foster G, Keshavjee K, et al. Shared electronic vascular risk decision support in primary care: Computerization of Medical Practices for the Enhancement of Therapeutic Effectiveness (COMPETE III) randomized trial. Archives of Internal Medicine 2011;171(19):1736-44. CENTRAL

Hormigo‐Pozo 2009 {published data only}

Hormigo-Pozo A, Viciana-Lopez MA, Gomez-Jimenez L, Gallego-Parrilla MD, Orellana-Lozano J, Morales-Asencio JM. Improved effectiveness in the management of cardiovascular risk among type 2 diabetic patients in primary health care [Mejora de la efectividad en el manejo del riesgo cardiovascular de pacientes diabéticos tipo 2 en atención primaria]. Atencion Primaria 2009;41:240-5. CENTRAL

Huntink 2013 {published data only}

Huntink E, Heijmans N, Wensing M, van Lieshout J. Effectiveness of a tailored intervention to improve cardiovascular risk management in primary care: study protocol for a randomised controlled trial. Trials 2013;14(1):433. CENTRAL

Ishani 2011 {published data only}

Ishani A, Greer N, Taylor BC, Kubes L, Cole P, Atwood M, et al. Effect of nurse case management compared with usual care on controlling cardiovascular risk factors in patients with diabetes: a randomized controlled trial. Diabetes Care 2011;34:1689-94. CENTRAL

Jacobs 2011 {published data only}

Jacobs N, Drost R, Ament A, Evers S, Claes N. Willingness to pay for a cardiovascular prevention program in highly educated adults: a randomized controlled trial. International Journal of Technology Assessment in Health Care 2011;27(4):283-9. CENTRAL

Jennings 2006 {published data only}

Jennings C, Wood D. EUROACTION: a family-based preventive cardiology programme in primary care. Practical Cardiovascular Risk Management 2006;4:12-15. CENTRAL

Jones 2009 {published data only}

Jones LA, Weymiller AJ, Shah N, Bryant SC, Christianson TJ, Guyatt GH, et al. Should clinicians deliver decision aids? Further exploration of the statin choice randomized trial results. Medical Decision Making 2009;29:468-74. CENTRAL

Kaczorowski 2011 {published data only}

Kaczorowski J, Chambers LW, Dolovich L, Paterson JM, Karwalajtys T, Gierman T, et al. Improving cardiovascular health at population level: 39 community cluster randomised trial of Cardiovascular Health Awareness Program (CHAP). BMJ 2011;342:d442. CENTRAL
Kaczorowski J, Chambers LW, Karwalajtys T, Dolovich L, Farrell B, McDonough B, et al. Cardiovascular Health Awareness Program (CHAP): a community cluster-randomised trial among elderly Canadians. Preventive Medicine 2008;46(6):537-44. CENTRAL
Kaczorowski JA, Chambers LW, Dolovich L, Farrell B, McDonough B, Sebaldt R, et al. Improving cardiovascular health at the population level: a 39 community cluster randomized trial of the Cardiovascular Health Awareness Program (C-CHAP). Stroke 2010;41:e474. CENTRAL

Ketola 2001 {published data only}

Ketola E, Mäkelä M, Klockars M. Individualised multifactorial lifestyle intervention trial for high-risk cardiovascular patients in primary care. British Journal of General Practice 2001;51:291-4. CENTRAL

Keyserling 2014 {published data only}

Keyserling TC, Sheridan SL, Draeger LB, Finkelstein EA, Gizlice Z, Kruger E, et al. A comparison of live counseling with a web-based lifestyle and medication intervention to reduce coronary heart disease risk: a randomized clinical trial. JAMA Internal Medicine 2014;174(7):1144-57. CENTRAL
Sheridan SL, Draeger LB, Pignone MP, Sloane PD, Samuel-Hodge C, Finkelstein EA, et al. Designing and implementing a comparative effectiveness study of two strategies for delivering high quality CHD prevention: methods and participant characteristics for the Heart to Health study. Contemporary Clinical Trials 2013;36(2):394-405. CENTRAL
Sheridan SL, Keyserling TC, Draeger LB. A randomized trial of a web-based versus counselor based intervention to reduce CHD risk. Journal of General Internal Medicine 2013;28:S13. CENTRAL

Kullo 2016 {published data only}

Brown SA, Jouni H, Austin E, Marroush T, Kullo I. Effect of disclosure of genetic risk for coronary heart disease on information seeking and information sharing in a randomized clinical trial (from the MI-GENES Investigators). Circulation 2015;132:A16508. CENTRAL
Kullo IJ, Jouni H, Austin EE, Brown SA, Kruisselbrink TM, Isseh IN, et al. Incorporating a genetic risk score into coronary heart disease risk estimates: effect on low-density lipoprotein cholesterol levels (the MI-GENES Clinical Trial). Circulation 2016;133(12):1181-8. CENTRAL
Kullo IJ, Jouni H, Olson JE, Montori VM, Bailey KR. Design of a randomized controlled trial of disclosing genomic risk of coronary heart disease: the Myocardial Infarction Genes (MI-GENES) study. BMC Medical Genomics 2015;8:51. CENTRAL
Robinson CL, Jouni H, Kruisselbrink TM, Austin EE, Christensen KD, Green RC, et al. Disclosing genetic risk for coronary heart disease: effects on perceived personal control and genetic counseling satisfaction. Clinical Genetics 2016;89(2):251-7. CENTRAL
Robinson CL, Jouni H, Kruisselbrink TM, Christensen KD, Green RC, Kullo IJ. The effect of disclosing genetic risk for coronary heart disease on perceived personal control and genetic counseling satisfaction: the MI-genes study. Circulation 2014;130:A20188. CENTRAL

Laan 2012 {published data only}

Laan EK, Kraaijenhagen RA, Peek N, Busschers WB, Deutekom M, Bossuyt PM, et al. Effectiveness of a web-based health risk assessment with individually-tailored feedback on lifestyle behaviour: study protocol. BMC Public Health 2012;12:200. CENTRAL

Lalonde 2004 {published data only}

Lalonde L, O'Connor AM, Drake E, Duguay P, Lowensteyn I, Grover SA. Development and preliminary testing of a patient decision aid to assist pharmaceutical care in the prevention of cardiovascular disease. Pharmacotherapy 2004;24:909-22. CENTRAL

Lalonde 2006 {published data only}

Lalonde L, O'Connor AM, Duguay P, Brassard J, Drake E, Grover SA. Evaluation of a decision aid and a personal risk profile in community pharmacy for patients considering options to improve cardiovascular health: the OPTIONS pilot study. International Journal of Pharmacy Practice 2006;14:51-62. CENTRAL

Lauritzen 2008 {published data only}

Lauritzen T, Jensen MS, Thomsen JL, Christensen B, Engberg M. Health tests and health consultations reduced cardiovascular risk without psychological strain, increased healthcare utilization or increased costs. An overview of the results from a 5-year randomized trial in primary care. The Ebeltoft Health Promotion Project (EHPP). Scandinavian Journal of Public Health 2008;36(6):650-61. CENTRAL

Liddy 2015 {published data only}

Liddy C, Hogg W, Russell G, Wells G, Armstrong CD, Akbari A, et al. Improved delivery of cardiovascular care (IDOCC) through outreach facilitation: study protocol and implementation details of a cluster randomized controlled trial in primary care. Implementation Science 2011;6(1):110. CENTRAL
Liddy C, Hogg W, Singh J, Taljaard M, Russell G, Deri Armstrong C, et al. A real-world stepped wedge cluster randomized trial of practice facilitation to improve cardiovascular care. Implementation Science 2015;10:150. CENTRAL

Lindholm 1995 {published data only}

Lindholm LH, Ekbom T, Dash C, Eriksson M, Tibblin G, Scherstén B. The impact of health care advice given in primary care on cardiovascular risk. BMJ 1995;310:1105-9. CENTRAL

Ma 2009 {published data only}

Ma J, Berra K, Haskell WL, Klieman L, Hyde S, Smith MW, et al. Case management to reduce risk of cardiovascular disease in a county health care system. Archives of Internal Medicine 2009;169(21):1988-95. CENTRAL

Mendis 2010 {published data only}

Mendis S, Johnston SC, Fan W, Oladapo O, Cameron A, Faramawi MF. Cardiovascular risk management and its impact on hypertension control in primary care in low-resource settings: a cluster-randomized trial. Bulletin of the World Health Organization 2010;88(6):412-9. CENTRAL

Mills 2010 {published data only}

Mills M, Loney P, Jamieson E, Gafni A, Browne G, Bell B, et al. A primary care cardiovascular risk reduction clinic in Canada was more effective and no more expensive than usual on-demand primary care--a randomised controlled trial. Health & Social Care in the Community 2010;18:30-40. CENTRAL

Mortsiefer 2015 {published data only}

Mortsiefer A, Meysen T, Schumacher M, Abholz HH, Wegscheider K, In der Schmitten J. From hypertension control to global cardiovascular risk management: an educational intervention in a cluster-randomised controlled trial. BMC Family Practice 2015;16:56. CENTRAL

NCT01134458 {unpublished data only}

NCT01134458. Personalized cardiovascular risk information to initiate and maintain health behavior changes (FIMDM_CVD) [Personalized Cardiovascular Risk Information to Initiate and Maintain Health Behavior Changes]. clinicaltrials.gov/ct2/show/NCT01134458 (first received 28 May 2010). CENTRAL

NCT01979471 {unpublished data only}

NCT01979471. The Alberta vascular risk reduction community pharmacy project: RxEACH (RxEACH) [The Alberta Vascular Risk Reduction Community Pharmacy Project: RxEACH]. clinicaltrials.gov/ct2/show/NCT01979471 (first received 1 November 2013). CENTRAL

Nebieridze 2011 {published data only}

Nebieridze D, Safarian AS, Shalnova SA, Deev AD, Oganov RG. The efficacy of integration in clinical practice of electronic version of SCORE in treating hypertensive patients. European Journal of Cardiovascular Prevention and Rehabilitation 2011;18:S81. CENTRAL

Paterson 2002 {published data only}

Paterson JM, Llewellyn-Thomas HA, Naylor CD. Using disease risk estimates to guide risk factor interventions: field test of a patient workbook for self-assessing coronary risk. Health Expectations 2002;5(1):3-15. CENTRAL

Pignone 2004 {published data only}

Pignone M, Sheridan SL, Lee YZ, Kuo J, Phillips C, Mulrow C, et al. Heart to Heart: a computerized decision aid for assessment of coronary heart disease risk and the impact of risk-reduction interventions for primary prevention. Preventive Cardiology 2004;7(1):26-33. CENTRAL

Powers 2011 {published data only}

Powers BJ, Danus S, Grubber JM, Olsen MK, Oddone EZ, Bosworth HB. The effectiveness of personalized coronary heart disease and stroke risk communication. American Heart Journal 2011;161(4):673-80. CENTRAL

Qureshi 2012 {published data only}

Qureshi N, Armstrong S, Dhiman P, Saukko P, Middlemass J, Evans PH, et al. Effect of adding systematic family history enquiry to cardiovascular disease risk assessment in primary care: a matched-pair, cluster randomized trial. Annals of Internal Medicine 2012;156(4):253-62. CENTRAL

Reid 1995 {published data only}

Reid C, McNeil JJ, Williams F, Powles J. Cardiovascular risk reduction: a randomized trial of two health promotion strategies for lowering risk in a community with low socioeconomic status. Journal of Cardiovascular Risk 1995;2:155-63. CENTRAL

Rodriguez‐Salceda 2010 {published data only}

Rodriguez-Salceda I, Escortell-Mayor E, Rico-Blazquez M, Riesgo-Fuertes R, Asunsolo-del Barco A, Valdivia-Perez A, et al. EDUCORE project: a clinical trial, randomised by clusters, to assess the effect of a visual learning method on blood pressure control in the primary healthcare setting. BMC Public Health 2010;10:449. CENTRAL

Selvaraj 2012 {published data only}

Selvaraj FJ, Mohamed M, Omar K, Nanthan S, Kusiar Z, Subramaniam SY, et al. The impact of a disease management program (COACH) on the attainment of better cardiovascular risk control in dyslipidaemic patients at primary care centres (the DISSEMINATE Study): a randomised controlled trial. BMC Family Practice 2012;13:97. CENTRAL

Sheridan 2012 {published data only}

Sheridan SL, Draeger LB, Pignone M, Keyserling TC. Patients' choices for lifestyle change versus medication use to reduce elevated CVD risk. Journal of General Internal Medicine 2012;27:S268. CENTRAL

Skinner 2011 {published data only}

Skinner TC, Barrett M, Greenfield C. Impact of providing people with type 2 diabetes with their actual risk for five diabetes complications: A pilot study. Diabetologia 2011;54:S405-S406. CENTRAL

Smith 2008 {published data only}

Smith SA, Shah ND, Bryant SC, Christianson TJH, Bjornsen SS, Giesler PD, et al. Chronic care model and shared care in diabetes: randomized trial of an electronic decision support system. Mayo Clinic Proceedings 2008;83:747-57. CENTRAL

Soureti 2010 {published data only}

Soureti A, Hurling R, Murray P, van Mechelen W, Cobain M. Evaluation of a cardiovascular disease risk assessment tool for the promotion of healthier lifestyles. European Journal of Cardiovascular Prevention and Rehabilitation 2010;17:519-23. CENTRAL

Stewart 2012 {published data only}

Stewart S, Carrington MJ, Swemmer CH, Anderson C, Kurstjens NP, Amerena J, et al. Effect of intensive structured care on individual blood pressure targets in primary care: multicentre randomised controlled trial. BMJ 2012;345:e7156. CENTRAL
Stewart S, Carrington MJ, Swemmer CH, Kurstjens NP, Jennings GJ. A national, multicentre, randomized controlled trial of the efficacy of structured care algorithm in achieving individual blood pressure targets at 26 weeks in primary care. European Heart Journal 2012;33:679. CENTRAL
Stewart S, Carrington MJ, Swemmer CH, Kurstjens NP, Jennings GJ. Reduced blood pressure and risk of future cardiovascular disease from structured care algorithm in primary care patients with persistent hypertension: a multicentere randomized controlled trial. European Heart Journal 2012;33:811. CENTRAL

Thomsen 2001 {published data only}

Thomsen TF, Davidsen M, Ibsen H, Jorgensen T, Jensen G, Borch-Johnsen K. A new method for CHD prediction and prevention based on regional risk scores and randomized clinical trials; PRECARD and the Copenhagen Risk Score. Journal of Cardiovascular Risk 2001;8(5):291-7. CENTRAL

Vaidya 2012 {published data only}

Vaidya R, Pandya KV, Denney-Wilson E, Harris M. Sustaining cardiovascular absolute risk management in Australian general practice. Australian Journal of Primary Health 2012;18(4):304-7. CENTRAL

Van Breukelen‐van der Stoep 2014 {published data only}

Van Breukelen-van der Stoep DF, Zijlmans J, Van Zeben D, van der Meulen N, Klop B, de Vries MA, et al. Self-reported adherence to cardiovascular risk reduction intervention of patients with rheumatoid arthritis: results of the Francis study. Atherosclerosis 2014;235:e272. CENTRAL

Van den Brekel‐Dijkstra 2016 {published data only}

Van den Brekel-Dijkstra K, Rengers AH, Niessen MA, de Wit NJ, Kraaijenhagen RA. Personalized prevention approach with use of a web-based cardiovascular risk assessment with tailored lifestyle follow-up in primary care practice - a pilot study. European Journal of Preventive Cardiology 2016;23(5):544-51. CENTRAL

Van Limpt 2011 {published data only}

Van Limpt PM, Harting J, van Assema P, Ruland E, Kester A, Gorgels T, et al. Effects of a brief cardiovascular prevention program by a health advisor in primary care; the 'Hartslag Limburg' project, a cluster randomized trial. Preventive Medicine 2011;53(6):395-401. CENTRAL

Waldron 2010 {published data only}

Waldron CA, Gallacher J, van der Weijden T, Newcombe R, Elwyn G. The effect of different cardiovascular risk presentation formats on intentions, understanding and emotional affect: a randomised controlled trial using a web-based risk formatter (protocol). BMC Medical Informatics and Decision Making 2010;10:41. CENTRAL

Weymiller 2007 {published data only}

Weymiller AJ, Montori VM, Jones LA, Gafni A, Guyatt GH, Bryant SC, et al. Helping patients with type 2 diabetes mellitus make treatment decisions: statin choice randomized trial. Archives of Internal Medicine 2007;167(10):1076-82. CENTRAL

Zamora 2013 {published data only}

Zamora A, Fernández de Bobadilla F, Carrion C, Vázquez G, Paluzie G, Elosua R, et al. Pilot study to validate a computer-based clinical decision support system for dyslipidemia treatment (HTE-DLP). Atherosclerosis 2013;231:401-4. CENTRAL

Zamora 2015 {published data only}

Zamora A, Carrion C, Vazquez G, Martin-Urda A, Vilaseca M, Paluzie G, et al. A clinical decision support system can improves the quality of lipid-lowering therapy in coronary patients. European Heart Journal 2015;36:285-86. CENTRAL

Zhu 2013 {published data only}

Zhu B, Haruyama Y, Muto T, Yamasaki A, Tarumi F. Evaluation of a community intervention program in Japan using Framingham risk score and estimated 10-year coronary heart disease risk as outcome variables: a non-randomized controlled trial. BMC Public Health 2013;13:219. CENTRAL

Referencias de los estudios en espera de evaluación

Adamson 2013 {published data only}

Adamson R, Sourij H, Ring A, Price HC, Holman RR. Adding value to the experience of attending a diabetes clinic appointment: Provision of personalised 10 year cardiovascular disease (CVD) risk estimates. Diabetic Medicine 2013;30:194. CENTRAL

Gryn 2012 {published data only}

Gryn S, Har B, Dresser G. Evaluation of the effect of cardiovascular risk assessment on treatment compliance in hypertension. Journal of Clinical Hypertension2012;14. CENTRAL

Roach 2012 {published data only}

Roach P, Saha C, Marrero DG. Communicating cardiovascular risk to Latinos with type 2 diabetes using a Spanish language-based multimedia program. Diabetes 2012;61:A88. CENTRAL

Badenbroek 2014 {published data only}

Badenbroek IF, Stol DM, Nielen MM, Hollander M, Kraaijenhagen RA, de Wit GA, et al. Design of the INTEGRATE study: effectiveness and cost-effectiveness of a cardiometabolic risk assessment and treatment program integrated in primary care. BMC Family Practice 2014;15:90. CENTRAL

Ijkema 2014 {published data only}

De Koning HJ, van der Aalst CM, van Aerde MA, Ijkema R, van Bruggen R, Oudkerk M. Design and recruitment of the ROBINSCA trial: Screening for cardiovascular disease. European Heart Journal 2015;36:985. CENTRAL
Ijkema R, Van Aerde M A, Van Der Aalst C M, Van Ballegooijen M, Oudkerk M, De Koning H J. A randomized controlled trial measuring the effectiveness of screening for cardiovascular disease using classic risk assessment and coronary artery calcium: The ROBINSCA study. European Journal of Preventive Cardiology 2014;21:S21. CENTRAL

Maindal 2014 {published data only}

Maindal HT, Stovring H, Sandbaek A. Effectiveness of the population-based Check your health preventive programme conducted in primary care with 4 years follow-up [the CORE trial]: study protocol for a randomised controlled trial. Trials 2014;15:341. CENTRAL

NCT00694239 {unpublished data only}

NCT00694239. Risk assessment and treat compliance in hypertension education trial (RATCHET) [Evaluation of the Effect of Cardiovascular Risk Assessment in Treatment Compliance in Hypertension]. clinicaltrials.gov/ct2/show/NCT00694239 (first received 6 June 2008). CENTRAL

NCT02096887 {unpublished data only}

NCT02096887. Effect of patient education on compliance and cardiovascular risk parameters (FAILAKA) [Effect of Patient Awareness and Education on Compliance and Cardiovascular Risk Factor Control]. clinicaltrials.gov/ct2/show/NCT02096887 (First received 24 March 2014). CENTRAL

Ogedegbe 2014 {published data only}

Ogedegbe G, Plange-Rhule J, Gyamfi J, Chaplin W, Ntim M, Apusiga K, et al. A cluster-randomized trial of task shifting and blood pressure control in Ghana: study protocol. Implementation Science 2014;9:73. CENTRAL

Praveen 2013 {published data only}

Praveen D, Patel A, McMahon S, Prabhakaran D, Clifford GD, Maulik PK, et al. A multifaceted strategy using mobile technology to assist rural primary healthcare doctors and frontline health workers in cardiovascular disease risk management: protocol for the SMARTHealth India cluster randomised controlled trial. Implementation Science 2013;8(1):137. CENTRAL

Redfern 2014 {published data only}

Redfern J, Usherwood T, Harris MF, Rodgers A, Hayman N, Panaretto K, et al. A randomised controlled trial of a consumer-focused e-health strategy for cardiovascular risk management in primary care: the Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) study protocol. BMJ Open 2014;4:e004523. CENTRAL

Sanghavi 2015 {published data only}

Sanghavi DM, Conway PH. Paying for Prevention: A Novel Test of Medicare Value-Based Payment for Cardiovasculr Risk Reduction. JAMA 2015;314(2):123-124. CENTRAL

Silarova 2015 {published data only}

Silarova B, Lucas J, Butterworth AS, Di Angelantonio E, Girling C, Lawrence K, et al. Information and Risk Modification Trial (INFORM): design of a randomised controlled trial of communicating different types of information about coronary heart disease risk, alongside lifestyle advice, to achieve change in health-related behaviour. BMC Public Health 2015;15:868. CENTRAL

Anderson 1991

Anderson KM, Odell PM, Wilson PW, Kannel WB. Cardiovascular disease risk profiles. American Heart Journal 1991;121(1 Pt 2):293-8. [PMID: 1985385]

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Anderson TJ, Grégoire J, Hegele RA, Couture P, Mancini GB, McPherson R, et al. 2012 update of the Canadian Cardiovascular Society guidelines for the diagnosis and treatment of dyslipidemia for the prevention of cardiovascular disease in the adult. Canadian Journal of Cardiology 2013;29(2):151-67. [PMID: 23351925]

Assmann 2002

Assmann G, Cullen P, Schulte H. Simple scoring scheme for calculating the risk of acute coronary events based on the 10-year follow-up of the prospective cardiovascular Münster (PROCAM) study. Circulation 2002;105(3):310-5. [PMID: 11804985]

Beswick 2008

Beswick AD, Brindle P, Fahey T, Ebrahim S. A systematic review of risk scoring methods and clinical decision aids used in the primary prevention of coronary heart disease (Supplement). London (UK): Royal College of General Practitioners; May 2008. NICE Clinical Guidelines No. 67S. [PMID: 21834196]

Bethesda 1996

No authors listed. 27th Bethesda Conference. Matching the intensity of risk factor management with the hazard for coronary disease events. September 14-15, 1995. Journal of the American College of Cardiology 1996;27(5):957-1047. [PMID: 8609361]

Bloom 2011

Bloom DE, Cafiero ET, Jané-Llopis E, Abrahams-Gessel S, Bloom LR, Fathima S, et al. The Global Economic Burden of Non-communicable Diseases. Geneva: World Economic Forum, 2011.

BPLTTC 2014

Blood Pressure Lowering Treatment Trialists' Collaboration (BPLTTC), Sundström J, Arima H, Woodward M, Jackson R, Karmali K, et al. Blood pressure-lowering treatment based on cardiovascular risk: a meta-analysis of individual patient data. Lancet 2014;384(9943):591-8. [PMID: 25131978]

Brindle 2006

Brindle P, Beswick A, Fahey T, Ebrahim S. Accuracy and impact of risk assessment in the primary prevention of cardiovascular disease: a systematic review. Heart 2006;92(12):1752-9. [PMID: 16621883]

Conroy 2003

Conroy RM, Pyörälä K, Fitzgerald AP, Sans S, Menotti A, De Backer G, et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. European Heart Journal 2003;24(11):987-1003. [PMID: 12788299]

CTT 2012

Cholesterol Treatment Trialists' (CTT) Collaborators, Mihaylova B, Emberson J, Blackwell L, Keech A, Simes J, et al. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials. Lancet 2012;380(9841):581-90. [PMID: 22607822]

Damen 2016

Damen JA, Hooft L, Schuit E, Debray TP, Collins GS, Tzoulaki I, et al. Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ 2016;353:i2416. [PMID: 27184143]

Goff 2014

Goff DC Jr, Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB Sr, Gibbons R, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association task force on practice guidelines. Circulation 2014;129(25 Suppl 2):S49-73. [PMID: 24222018]

Grover 1995

Grover SA, Lowensteyn I, Esrey KL, Steinert Y, Joseph L, Abrahamowicz M. Do doctors accurately assess coronary risk in their patients? Preliminary results of the coronary health assessment study. BMJ 1995;310(6985):975-8. [PMID: 7728035]

Guyatt 2008

Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ 2008;336(7650):924-6. [PMID: 18436948]

Hajifathalian 2015

Hajifathalian K, Ueda P, Lu Y, Woodward M, Ahmadvand A, Aguilar-Salinas CA, et al. A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys. Lancet Diabetes & Endocrinology 2015;3(5):339-55.

Higgins 2011

Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane-handbook.org.

Hippisley‐Cox 2007

Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, May M, Brindle P. Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study. BMJ 2007;335(7611):136. [PMID: 17615182]

Hippisley‐Cox 2008

Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, Minhas R, Sheikh A, et al. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ 2008;336(7659):1475-82. [PMID: 18573856]

Jackson 2005

Jackson R, Lawes CM, Bennett DA, Milne RJ, Rodgers A. Treatment with drugs to lower blood pressure and blood cholesterol based on an individual's absolute cardiovascular risk. Lancet 2005;365(9457):434-41. [PMID: 15680460]

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Meland 1994

Meland E, Laerum E, Stensvold I. Assessment of coronary heart disease risk, I. A postal inquiry among primary care physicians. Family Practice 1994;11(2):117-21. [PMID: 7958572]

Murray 2012

Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380(9859):2197-223. [PMID: 23245608]

Naghavi 2015

Naghavi M, Wang H, Lozano R, Davis A, Liang X, Zhou M, et al. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015;385(9963):117-71.

NCEP 2002

National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report. Circulation 2002;106(25):3143-421. [PMID: 12485966]

NICE 2014

National Institute for Health and Care Excellence (NICE). Lipid modification: Cardiovascular risk assessment and the modification of blood lipids for primary and secondary prevention of cardiovascular disease. www.nice.org.uk/guidance/cg181 (accessed 20 January 2016).

O'Donnell 2010

O'Donnell MJ, Xavier D, Liu L, Zhang H, Chin SL, Rao-Melacini P, et al. Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study. Lancet 2010;376(9735):112-23. [PMID: 20561675]

Piepoli 2016

Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, et al. 2016 European guidelines on cardiovascular disease prevention in clinical practice: the sixth joint task force of the European Society of Cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of 10 societies and by invited experts). European Heart Journal 2016;37(29):2315-81. [PMID: 27222591]

Pignone 2003

Pignone M, Phillips CJ, Elasy TA, Fernandez A. Physicians' ability to predict the risk of coronary heart disease. BMC Health Services Research 2003;3(1):13. [PMID: 12857356]

RevMan 2014 [Computer program]

Nordic Cochrane Centre, The Cochrane CollaborationReview Manager (RevMan). Version 5.3. Copenhagen: Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Sheridan 2008

Sheridan SL, Crespo E. Does the routine use of global coronary heart disease risk scores translate into clinical benefits or harms? A systematic review of the literature. BMC Health Services Research 2008;8:60. [PMID: 18366711]

Sheridan 2010

Sheridan SL, Viera AJ, Krantz MJ, Ice CL, Steinman LE, Peters KE, et al. The effect of giving global coronary risk information to adults: a systematic review. Archives of Internal Medicine 2010;170(3):230-9. [PMID: 20142567]

Smith 2004

Smith SC Jr, Jackson R, Pearson TA, Fuster V, Yusuf S, Faergeman O, et al. Principles for national and regional guidelines on cardiovascular disease prevention: a scientific statement from the World Heart and Stroke Forum. Circulation 2004;109(25):3112-21. [PMID: 15226228]

Stone 2014

Stone NJ, Robinson J, Lichtenstein AH, Bairey Merz CN, Blum CB, Eckel RH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 2014;129(25 Suppl 2):S1-45. [PMID: 24222016]

Usher‐Smith 2015

Usher-Smith JA, Silarova B, Schuit E, Moons KG, Griffin SJ. Impact of provision of cardiovascular disease risk estimates to healthcare professionals and patients: a systematic review. BMJ Open 2015;5(10):e008717.

Van der Weijden 2008

Van der Weijden T, Bos LB, Koelewijn-van Loon MS. Primary care patients' recognition of their own risk for cardiovascular disease: implications for risk communication in practice. Current Opinion in Cardiology 2008;23(5):471-6. [PMID: 18670259]

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World Health Organization. Prevention of Cardiovascular Disease: Guidelines for Assessment and Management of Total Cardiovascular Risk. Geneva: WHO Press, 2007.

Willis 2012

Willis A, Davies M, Yates T, Khunti K. Primary prevention of cardiovascular disease using validated risk scores: a systematic review. Journal of Royal Society of Medicine 2012;105(8):348-56.

Wilson 1998

Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation 1998;97(18):1837-47. [PMID: 9603539]

Wong 2006

Wong SS, Wilczynski NL, Haynes RB. Developing optimal search strategies for detecting clinically sound treatment studies in EMBASE. Journal of the Medical Library Association 2006;94(1):41-7.

Yusuf 2004

Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 2004;364(9438):937-52. [PMID: 15364185]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Benner 2008

Study characteristics

Methods

Cluster‐randomised trial, parallel group (1:1)

Participants

Patients from outpatient clinics in 9 European countries

Unit of randomisation: primary care clinic

Inclusion criteria: 45–64 years of age with a history of hypertension, systolic blood pressure ≥ 140 mmHg (or ≥ 130 mmHg if renal disease), and a 10‐year risk of coronary heart disease (CHD) ≥ 10%

Exclusion criteria: individuals with a history of CHD, diabetes mellitus, fasting plasma glucose > 6.9 mmol/L, or practices that routinely used risk calculators

101 clinics randomised: n = 51 intervention, n = 50 usual care; 1 clinic excluded prior to participant recruitment

1103 participants randomised: n = 565 intervention, n = 538 usual care

Mean (SD) age: 56.8 (5.1) years, 14% women, 96% white; no diabetes mellitus

Interventions

Intervention group:

  • Physicians calculated participants 10‐year predicted CHD risk using a hand‐held electronic device and advised participants according to a risk communication programme;

  • participants were provided with a 'Heart Health' report including absolute and relative risk information and bar charts

  • nurse‐led education sessions by phone to discuss behaviour modifications every 4 weeks (weeks 6, 12, 18).

Comparison group: usual care (risk factor assessment but 10‐year CHD risk not provided)

Outcomes

Primary outcome: Framingham 10‐year CHD risk at 6 months

Secondary outcomes: changes in blood pressure and cholesterol levels; attainment of blood pressure and ATP‐III LDL‐C goals; knowledge; attitude; behaviour; adverse effects

Number of clinics analysed: n = 50 intervention, n = 50 usual care

Number of participants analysed for safety: n = 563 intervention, n = 533 usual care

Number of participants analysed for efficacy: n = 524 intervention, n = 461 usual care

Follow‐up: 6 months

Study funding sources

"This study was sponsored by Pfizer Inc, who were involved in the study design, data collection, data analysis, manuscript preparation and publication decisions."

Notes

Endpoints analysed using mixed effects models to account for clustering

Did not meet recruitment target. 91 participants (n = 30 intervention, n = 61 usual care) were excluded from efficacy analyses due to failure of hand‐held electronic devices.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer based algorithm to assign study sites to allocation

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Physicians unblinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Risk factors in follow‐up were measured by the unblinded physicians

Incomplete outcome data (attrition bias)
All outcomes

High risk

> 10% excluded due to device failure or loss to follow‐up. Disproportionate loss to follow‐up in usual care and these individuals were excluded from analyses. ITT analysis not performed

Selective reporting (reporting bias)

Low risk

All outcomes from protocol were reported

Other bias

High risk

Pharmaceutical funding and several investigators had ties to industry

Bertoni 2009

Study characteristics

Methods

Cluster‐randomised trial, parallel group (1:1)

Participants

66 primary care practices in North Carolina randomised (n = 32 intervention, n = 34 comparison). 5 practices withdrew before intervention started (3 intervention, 2 comparison).

Medical records abstracted from 5057 participants at baseline (n = 2841 intervention, n = 2216 comparison).

Inclusion criteria: self‐described primary care practices, staffed by internal medicine or family medicine providers, 3 h driving radius of research site in North Carolina.

Exclusion criteria: direct affiliation to medical school or residency programme, practices providing subspecialty care, sites outside of North Carolina

Mean age of participants: 46 years, 57% women, 62% non‐Hispanic white, 9% African American; 7% established CVD, 9% diabetes mellitus

Interventions

Both groups received guideline dissemination, patient education materials, continuing medical education, feedback based on baseline chart audit, and 4 visits for intervention‐specific academic detailing.

Intervention group:

  • Hand‐held computerised decision support tool (personal digital assistant) with ATP‐III treatment recommendations

  • Personalised risk information printed for participants

Comparison group: no decision support, dissemination of JNC‐7 guidelines, blood pressure measurement devices provided to participants

Outcomes

Primary outcome: proportion of participants treated appropriately to lipid‐lowering treatment 4 months after intervention

Secondary outcomes: proportion of participants with appropriate lipid‐lowering treatment, inappropriate lipid‐lowering treatment, and lipid screening

61 practices analysed (n = 29 intervention; n = 32 comparison)

Medical records abstracted from 3821 participants at follow‐up (n = 2010 intervention, n = 1811 comparison)

Follow‐up: 1 year

Study funding sources

Funded by that National Heart, Lung, and Blood Institute, USA

Notes

Endpoints analysed using generalised estimating equations to account for clustering

Analyses compared overall prescribing rates in randomly selected participants before and after the intervention but did not follow individual participants

Analyses

Trial reported a net improvement in appropriate management but this was due to a reduction in inappropriate lipid‐lowering treatment compared with the comparison group.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported by authors

"Randomization was stratified by practice type and size and blocked"

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported by authors

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"The intervention was not blinded."

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"Abstractors were not informed regarding the practice's intervention arm."

Incomplete outcome data (attrition bias)
All outcomes

High risk

2 practices withdrew after randomisation and data were not collected

Selective reporting (reporting bias)

Low risk

All outcomes reported in clinical trial registration were reported

Other bias

Unclear risk

46% of practices stopped using the clinical decision support tool

British Family Heart 1994

Study characteristics

Methods

Cluster‐randomised trial with internal and external comparators

Participants

Men and women from 14 towns in the UK with 2 matched‐practices within each town.

Unit of randomisation: general medical practice

Inclusion criteria: all men aged 40‐59 years and their partners regardless of age

Exclusion criteria: not specified

The trial consisted of 2 comparison groups, an internal comparison and an external comparison. Regions were first randomised to the study or usual care (defined as the external comparison group). Within the study region, general medical practices were then randomised to the nurse‐led screening and the CVD risk score intervention or usual care (defined as the internal comparison).

Total randomised: 28 practices (n = 14 intervention, n = 14 comparison). Authors did not specify how many practices were in the internal comparison group and how many were in the external comparison group

Total participants (n = 12,924): intervention, 2011 men and 1425 women; internal comparison, 2174 men and 1402 women; external comparison, 3519 men and 2393 women

Mean (SD) age: 51.5 (5.7) years for men and 49.1 (6.8) years for women; 42% women; 5.1% of men and 1.6% of women reported prior coronary heart disease; 1.8% of men and 0.5% of women reported diabetes mellitus

Interventions

Intervention group: nurse‐led cardiovascular risk screening and lifestyle intervention:

  • Communication of risk decile by Dundee risk score

  • Counselling on diet, weight, smoking, exercise, and alcohol

  • Frequency of follow‐up determined by Dundee risk score

Comparison group: usual care without nurse‐screening, lifestyle counselling, or communication of Dundee risk score (Note: for analyses, we used comparisons between the intervention group and the internal control group as this was the authors' primary outcome)

Outcomes

Primary outcome: change in Dundee risk score

Secondary outcome: distribution and means of cardiovascular risk factors (systolic blood pressure, diastolic blood pressure, total cholesterol, smoking prevalence); proportion of participants with risk factor levels above prespecified cut‐points

Number analysed in follow‐up: 26 practices (13 intervention, 13 comparison)

Participants analysed at 1‐year follow‐up: total, n = 12,472; intervention, 1767 men and 1217 women; internal comparison, 2174 men and 1402 women; external comparison, 3519 men and 2393 women

Follow‐up: 1 year

Study funding sources

Public and private sources. "The study was funded by the Family Heart Association with an educational grant from Merck Sharp and Dohme, the family health service authorities and Fife Health Board, Boehringer Mannheim UK, Wessex Regional Health Authority, the Health Education Authority, the Scottish Home and Health Department, and the Department of Health."

Notes

Endpoints analysed using random effects models to account for clustering

Data reported separately for men and women by the authors but combined for meta‐analyses in this review

Protocol deviation identified by 1 nurse in an intervention practice. An executive committee decided (without sight of data) to discard all data from this intervention practice and therefore to disregard all data from the comparison practice.

Authors did not perform a formal cost‐effectiveness analysis but the overall predicted risk reduction of 12% from the intervention was not felt to be cost‐effective.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"All men aged 40‐59 years in each intervention and comparison practice were randomly ordered at the same time within five year age groups. . . [and] randomly divided into two groups: intervention and an internal comparison group"

Allocation concealment (selection bias)

High risk

"[W]ithin each age group their households were approached in order"

Participants were also recruited after individual practices were randomised.

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel unblinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method of outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

High risk

14% lost to follow‐up in intervention group; those who did not return were more likely to be smokers and have higher risk factor levels

Selective reporting (reporting bias)

Low risk

All outcomes from protocol reported

Other bias

High risk

Protocol deviations by 1 nurse in intervention group. Executive committee decided to discard data from the entire practice and the comparator practice. No baseline measurements in comparison groups

Bucher 2010

Study characteristics

Methods

Cluster‐randomised trial, parallel group (1:1)

Participants

Physicians in the Swiss HIV Cohort Study (SHCS) in Switzerland caring for HIV‐infected participants

Unit of randomisation: physician

Inclusion criteria: all physicians who were part of the SCHS were eligible. Eligible patients were those registered with the SHCS, not pregnant, aged ≥ 18 years, continuous ART for 90 days prior to baseline and with complete data on CHD risk factors at baseline

Exclusion criteria: no additional criteria from above

165 physicians randomised at baseline (n = 80 intervention, n = 85 comparison)

117 physicians included (n = 57 intervention, n = 60 comparison) ‐ 45 physicians were excluded because they did not have any participants with risk factor assessment and 3 physicians did not have any eligible participants

4097 participants eligible at baseline (n = 2097 intervention, n = 2000 comparison)

Mean age (IQR): 44 (39‐51) , 30% women, 5% diabetes mellitus, 26% with Framingham risk score (FRS) ≥ 10%

Interventions

Intervention group: risk profile generated by the data centre for each participant randomised to the intervention group; profile consisted of 10‐year CHD risk as calculated by FRS. Study nurses added the FRS risk profile to the patient chart. Each risk profile also included individualised targets for LDL cholesterol, systolic/diastolic blood pressure.

Comparison group: booklet of evidence‐based guidelines for management of CHD risk factors. Guidelines also gave directions on how to approach and motivate lifestyle modifications and how to calculate CHD risk from a website

Outcomes

Primary outcome: total cholesterol

Secondary outcomes: systolic and diastolic blood pressure, Framingham risk score

Follow‐up: 12‐18 months

3362 participants analysed at follow‐up (n = 1680 intervention, n = 1682 comparison)

Study funding sources

Public and private sources. "This trial was funded by a grant from the Swiss National Science Foundation for nested cohort projects. . . and an unrestricted educational grant from Bristol‐Myers Squibb, Baar, Switzerland."

Notes

Primary and secondary outcomes analysed using generalised estimating equations to account for clustering

Analyses reporting the effect of the intervention on medication prescribing and CVD events (not mentioned in methods, or in trial registration)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Randomized groups were assigned according to a computerized list for each strata generated by a biostatistician not otherwise involved in the trial."

Allocation concealment (selection bias)

Low risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"This was an open intervention trial, that is, physicians knew whether they received the intervention or not but were not told what outcomes would be measured."

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method used for outcome assessment not provided

Incomplete outcome data (attrition bias)
All outcomes

Low risk

80% of participants had a final assessment with data recorded for the primary outcome; ITT analysis performed

Selective reporting (reporting bias)

High risk

Trial prospectively registered (NCT00264394). Primary and secondary outcomes reported but medication prescribing outcome not prespecified

Other bias

Unclear risk

Analyses for primary and secondary outcomes accounted for clustering but unclear if medication prescribing outcome accounted for clustering

Christensen 2004

Study characteristics

Methods

Randomised controlled, parallel group (1:1:1) trial

Participants

1507 middle‐aged (30‐49 years) participants registered in general practice clinics in the district of Ebeltoft, Denmark

Inclusion criteria: aged 30‐49 years (by 1 January 1991); registered with a local general practitioner (GP) in Ebeltoft, Denmark

Exclusion criteria: none reported

Baseline characteristics not provided, 11% were high CVD risk

Interventions

Participants were randomised into a control group and 2 intervention groups

Intervention group 1: health screening + written feedback from GP + optional discussions with GP (n = 502)

Intervention group 2: health screening + written feedback from GP + scheduled 45‐min discussion with GP annually (n = 504)

Control group: usual care (n = 501)

Among those randomised to intervention group 1, 89% (449/502) received a health screening. Among those randomised to intervention group 2, 90% (456/504) received health screening and 88% (443/504) received GP visit. In total, 90% of those in the 2 intervention groups received a cardiovascular risk score.

Health screening was performed by laboratory assistants and consisted of cardiovascular risk calculation and categorisation into low, moderate, elevated, or high. Intervention groups were combined for analyses by the authors because there were no differences between the 2 groups. Results were compared to usual care participants who did not receive a CVD risk score

Outcomes

Psychological distress, measured by GHQ‐12 – measured anxiety/insomnia, depression, social impairment/hypochondria, and social dysfunction

Measured at baseline, 1 year, and 5 years

Authors report 84.1% follow‐up at 1 year and 79.2% follow‐up at 5 years but few other details on the number of participants analysed in follow‐up

Study funding sources

Study funded by a combination of Danish public organisations and private industry (i.e. Novo Nordisk, Bayer Denmark, Roche)

Notes

Few trial details provided. No details on baseline characteristics. Psychological distress measured 1 and 5 years after participants received their CVD risk score

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method of outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

High risk

20% missing data for GHQ‐12 at 1 year; 25% missing data for GHQ‐12 at 5 year; ITT analysis reported but not performed

Selective reporting (reporting bias)

Unclear risk

Protocol document not available

Other bias

High risk

Unlikely that measurement of psychological distress at 1 and 5 years after a CVD risk score intervention is meaningful

Cobos 2005

Study characteristics

Methods

Cluster‐randomised trial, parallel group (1:1)

Participants

People with hypercholesterolemia recruited from primary care health practices in Catalonia region, Spain

Unit of randomisation: primary care health practices

Inclusion criteria: total cholesterol level > 200 mg/dL

Exclusion criteria: triglycerides > 400 mg/dL or participating in another study within the medical centre

44 primary care health practices randomised (n = 22 intervention, n = 22 comparison). 2 practices withdrew before participants recruited

2191 participants recruited after selection criteria (n = 1046 intervention, n = 1145 comparison)

Mean age: 60 years, 57% women, 16% with diabetes mellitus, and 12% with CHD; ~ 50% of participants were previously treated with lipid‐lowering drugs

Interventions

Intervention group:

  • Practices provided patient education material promoting a health cardiovascular lifestyle

  • Physicians were asked to use a clinical decision support software module that calculated 10‐year CHD risk and provided treatment recommendations from within the electronic health record

Control group: usual care with health promotion pamphlets but no calculation of CHD risk

Outcomes

ITT analysis performed on the 2191 participants recruited (described above). Per‐protocol analyses also presented in the manuscript

Primary outcomes: proportion of participants meeting LDL goals (for CHD, 10‐year CHD risk ≥ 20%, and 10‐year CHD risk < 20%); total direct costs

Secondary outcomes: final lipid profile; healthcare resource consumption incurred during the study

Mean follow‐up: 12 months

Study funding sources

"Study supported by the Department of Outcomes Research & Disease Management, Novartis Farmaceutica SA, Spain"

Notes

Endpoints analysed using generalised estimating equations to account for clustering

Only 71% of physicians in the intervention group used the decision support tool

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"The randomization table was prepared by the statistician, using blocks of four practices."

Allocation concealment (selection bias)

High risk

Randomisation performed using blocks of 4 practices

Blinding of participants and personnel (performance bias)
All outcomes

High risk

No blinding of personnel or participants

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method for outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

> 20% missing lipid levels in follow‐up; ITT analysis used but no imputation of missing values

Selective reporting (reporting bias)

Unclear risk

Protocol not available

Other bias

High risk

Study supported by Novartis and 1 author had industry ties. Approximately 71% of physicians in the intervention group did not use the decision support tool

Denig 2014

Study characteristics

Methods

Randomised controlled trial, 2 × 2 factorial

Participants

Participants with type 2 diabetes mellitus aged < 65 years managed in primary care setting

Inclusion criteria: no additional criteria reported

Exclusion criteria: people with myocardial infarction (MI) in preceding year, stroke, heart failure, angina, or terminal illness

344 participants randomised at baseline (n = 225 intervention, n = 119 for usual care group)

Mean (SD) age: 61.7 (8.5), 44% women, > 90% white, 100% diabetes mellitus; high‐rate of baseline treatment (76% treated with statin)

Interventions

Intervention group: decision aid for people with diabetes mellitus that provided individually‐tailored risk information and treatment options for multiple cardiovascular risk factors; the decision‐aid was offered to participants before a regular diabetes mellitus check‐up and to healthcare provider during the consultation

Comparison group: usual care

For this systematic review, groups randomised to the decision aid, which provided a CVD risk score, were compared to those in the usual care group (who did not receive a decision aid)

Outcomes

Primary outcome: diabetes empowerment scale

Secondary outcome: changes in drug prescription in those with high HbA1c, systolic blood pressure, or LDL; self‐efficacy; satisfaction; negative emotions; and general health status (EQ‐5D); smoking status

306 participants analysed for the study's primary outcome (n = 199 intervention, n = 107 comparison). Not explicitly stated how many were analysed for secondary outcomes obtained from the electronic health record

Follow‐up: 6 months before and after intervention

Study funding sources

Funded by Netherlands Organization for Health Research and Development

Notes

4 different formats of the decision aid were tested in exploratory analyses but outcomes for participants allocated to any decision aid were combined by the study authors in this manuscript and was similarly done for this systematic review

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"A stratified computer generated allocation sequence was used."

Allocation concealment (selection bias)

Low risk

"We used a predefined computer algorithm with a blockwise scheme to conceal the allocation process from the healthcare provider."

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

High‐risk for patient‐reported outcomes

Low‐risk for clinical outcomes (automatic data extraction from database)

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

31 participants excluded (22 intervention vs 9 control); excluded from analysis

Selective reporting (reporting bias)

Low risk

All outcomes from protocol reported

Other bias

High risk

Randomisation occurred within a practice, increasing the risk for contamination. Decision aid was accessed for 88% (198/225) of intervention participants but only 46% (103/225) of intervention participants received all basic elements of the intervention

Eaton 2011

Study characteristics

Methods

Cluster‐randomised trial, parallel group (1:1)

Participants

Patients from 30 primary care practices in southeastern New England, USA

Inclusion criteria: no additional criteria reported

Exclusion criteria: no additional criteria reported in text but PRISMA flow diagram in the paper notes that participants were excluded if they were pregnant, died, or left the practice during the 1 year follow‐up

30 practices randomised (n = 15 intervention, n = 15 comparison)

4105 participants after exclusion criteria (n = 2100 intervention, n = 2000 comparison)

Mean (SD) age: 54.0 years (1.1) in intervention group and 52.3 (1.1) in control group; 29% women; 96% white; 20% CHD; 10% diabetes mellitus

Interventions

Both groups received a 1‐h academic detailing session where ATP‐III guidelines were discussed and pocket guidelines were given

Intervention group:

  • Patient education toolkit

  • Computer kiosk with patient activation software

  • Personal digital assistant‐based decision support tool for clinician

  • 4 booster academic detailing sessions

Comparison group: personal digital assistant without decision support

Outcomes

Primary outcome: proportion of participants screened and treated per 2001 guidelines

Follow‐up: 1 year

30 practices analysed (n = 15 intervention, n = 15 comparison)

4105 participants analysed (n = 2100 intervention, n = 2000 comparison)

Study funding sources

Not reported

Notes

Endpoints analysed using generalised linear mixed models to account for clustering.

Only 39% had a Heart Age calculated by clinicians. In post hoc analyses, physicians with above‐median use of the decision support tool were more likely to have their participants meet LDL goals (OR 1.23, 95% CI 1.04 to 1.06)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Chart outcome abstractors blinded to physician and practice

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No practices lost to follow‐up and ITT analysis performed for primary outcome

Selective reporting (reporting bias)

Unclear risk

Protocol document unavailable

Other bias

High risk

Low uptake of both patient activation tool among patients and decision support tool among physicians

Edelman 2006

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Adults ≥ 45 years without prevalent CVD

Inclusion criteria: ≥ 1 cardiovascular risk factors (diabetes mellitus, HTN, dyslipidaemia, smoking, or elevated BMI)

Exclusion criteria: history of MI, stroke, heart failure, terminal illness, pregnant women

154 adults enrolled and randomised (n = 77 intervention, n = 77 comparison)

Mean (SD) age: 52.2 years (5.2) in intervention group, 53.4 years (4.8) in control group; 81% women, 76% white, 20% African American, 16% diabetes mellitus

Interventions

Intervention group:

  • Personalised risk education

  • Personalised health plan delivered by health coach

  • Individual coaching sessions biweekly by phone

  • Group sessions weekly for the first 4 months, bi‐weekly for months 5‐9, and then at conclusion

Comparison group: usual care, mailed health assessment (blood test values but CVD risk score not provided)

Outcomes

Primary outcome: Framingham risk score

Secondary outcome: BMI, waist circumference, blood pressure, fasting lipid profile, smoking status, exercise frequency, readiness to increase exercise

Follow‐up: baseline, 5 months, and 10 months

Study funding sources

Center for Medicare and Medicaid Services, Veterans Affairs Health Services Research & Development career development award

Notes

Resource intensive intervention from health coaches with multiple follow‐up meetings

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"A research assistant blinded to treatment arm assignment measured the data required to calculate FRS at baseline, 5 months, and 10 months."

Incomplete outcome data (attrition bias)
All outcomes

High risk

> 20% loss to follow‐up

Selective reporting (reporting bias)

Unclear risk

Protocol document not available for review

Other bias

Low risk

Other sources of bias not identified

Engberg 2002

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1:1)

Participants

Men and women aged 30‐49 years from primary care clinics in Ebeltoft, Denmark

Inclusion criteria: additional criteria not reported

Exclusion criteria: none reported

1507 participants randomised (n = 504 health screening + physician discussion, n = 502 health screening only, n = 501 comparison/usual care)

Mean age: 40.5 years, 51% women, 100% Danish

Interventions

Intervention groups: 2 health screenings or 2 health screenings + 45 min follow‐up consultation with general practitioner to discuss health‐related lifestyle goals

Comparison group: usual care

For the analyses in this review, the "health screening + physician discussion" and "health screening only" groups were combined since both groups received a personalised CVD risk score

Outcomes

Primary outcome not specified; Danish CVD risk score, BMI, cholesterol level, systolic blood pressure, and diastolic blood pressure reported

1093 participants analysed at 5 years (n = 346 health screening + physician discussion, n = 378 health screening only, n = 369 usual care)

Follow‐up: 1 year and 5 years

Study funding sources

Funded by County Health Insurance office and other private/public sponsors, including Novo Nordisk, ASTRA‐Denmark, Bayer, and Roche

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

Low risk

"An employee of Aarhus County who was not otherwise involved in the study carried out the randomization."

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Participants were informed by their general practitioner about which intervention they would be offered."

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Unclear risk of bias for cardiovascular risk factors. High‐risk of bias for patient‐reported outcomes

Incomplete outcome data (attrition bias)
All outcomes

High risk

25‐30% loss to follow‐up in all 3 treatment groups by 5 years. No imputation of missing values

Selective reporting (reporting bias)

Unclear risk

Primary and secondary outcomes unclear in protocol document

Other bias

Unclear risk

Partial funding from pharmaceutical industry. Authors speculate on potential risk of contamination between participants in different treatment groups but attempted to mitigate this risk by allocating cohabitating couples into the same intervention group

Grover 2007

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Patients in primary care clinics across 10 provinces in Canada

Inclusion criteria:

  • CVD, DM, or 10‐year CHD risk > 30% and TC:HDL ratio > 4

  • 10‐year CHD risk 20‐30% and TC:HDL ratio > 5

  • 10‐year CHD risk 10‐20% and TC:HDL ratio > 6

Exclusion criteria: hypersensitivity to statins, risk of pregnancy, breastfeeding, active liver disease or liver enzyme abnormalities, elevated creatine kinase, elevated triglycerides (> 939 mg/dL), history of pancreatitis, significant renal insufficiency

3053 participants enrolled and randomised (n = 1510 intervention, n = 1543 comparison)

Mean age: 56 years, 32% women, 50% diabetes mellitus, 23% CVD

Interventions

Intervention group: physicians and participants provided with coronary risk profile consisting of a 8‐year CHD risk estimate, cardiovascular age, and age gap; repeat profile provided at 3 months to demonstrate response to therapy and amount of risk reduction

Comparison group: usual care

Outcomes

Primary outcomes: change in LDL‐C level, change in TC/HDL ratio, percentage of participants reaching national lipid targets

Secondary outcomes: change in nonlipid risk factors, global 10‐year risk

3053 participants analysed for efficacy outcomes (n = 1510 intervention, n = 1543 comparison)

Follow‐up: 1 year

Study funding sources

Funded by Pfizer Canada and multiple investigators with pharmaceutical industry ties

Notes

Protocol violation noted for 121 participants (n = 56 intervention, n = 65 comparison)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

Low risk

"Randomization was completed at a central coordinating centre"

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method for outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

Low risk

12% loss to follow‐up which was similar in the 2 groups; ITT analysis performed

Selective reporting (reporting bias)

Unclear risk

Protocol document not available for review

Other bias

High risk

Pharmaceutical funding

Potential for contamination bias since randomisation occurred within physician practice (investigators attempted to evaluate for this with sensitivity analyses)

Protocol violation noted for 4% of participants (n = 121)

Hall 2003

Study characteristics

Methods

Quasi‐randomised controlled trial, parallel group (1:1)

Participants

Participants aged 35‐75 years, with type 2 diabetes mellitus and no history of CVD or renal disease attending a specialised diabetes mellitus clinic in the UK

Inclusion criteria: not reported

Exclusion criteria: not reported

323 participants recruited (n = 162 intervention, n = 161 comparison)

Mean age of participants not reported; 48% women; 100% diabetes mellitus

Interventions

The New Zealand cardiovascular risk score was calculated for all participants

Intervention group: CVD risk score was documented on the front of the participant's chart before visit

Comparison group: no risk score documentation

Outcomes

Primary outcome: not specified

Outcomes reported: changes in diabetes mellitus treatment, changes in antihypertensive treatment, referral to dietician, risk score mentioned in letter to GP

Follow‐up: none

Study funding sources

Funding source not reported by authors

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

"We allocated patients alternately to experimental and control groups."

Allocation concealment (selection bias)

High risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method for outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All participants included in study were analysed

Selective reporting (reporting bias)

Unclear risk

No protocol available for review

Other bias

High risk

Small study bias

Hanlon 1995

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1:1:1:1)

Participants

1371 employees from 2 Glasgow factories randomised to 5 groups (n = 293 group 1, n = 297 group 2, n = 285 group 3, n = 263 group 4, n = 233 group 5)

Inclusion criteria: additional criteria not reported

Exclusion criteria: night‐shift workers and workers participating in another cholesterol treatment study

58% of sample were 40‐59 years of age, 9% women

Interventions

4 intervention groups:

  • Group 1: health education

  • Group 2: health education and feedback on cholesterol concentration

  • Group 3: health education and feedback on risk score

  • Group 4: health education with feedback on cholesterol concentration and risk score

1 comparison group (internal control): group 5 no health intervention

This review reports results for the comparison of group 4 and group 5

Outcomes

Outcomes reported: change in Dundee score; plasma cholesterol concentration; diastolic blood pressure, BMI; self‐reported behaviours

1157 employees analysed at 5 months (n = 247 group 1, n = 250 group 2, n = 241 group 3, n = 219 group 4, n = 200 group 5)

1107 employees analysed at 12 months (n = 240 group 1, n = 237 group 2, n = 226 group 3, n = 211 group 4, n = 193 group 5)

Follow‐up: baseline, 5 months, and 12 months

Study funding sources

Scottish Chief Scientist Office

Notes

Authors also compared the effects of the intervention to an external control site that was not randomised. These comparisons were reported in the manuscript but are not presented in this review.

Outcomes for changes in risk factors and health behaviours only reported at 5 months

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"[S]ubjects were allocated, by means of computer generated randomisation, to one of five groups."

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method of outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

Low risk

ITT analysis performed

Selective reporting (reporting bias)

High risk

Protocol not available and no trial registration. 12 month outcomes not reported

Other bias

High risk

Potential for contamination bias.

"We recognised that subjects in group 5 (internal control) were open to influences from colleagues because the messages given to other participants were being freely discussed in the workplace."

Hanon 2000

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

1526 hypertensive participants (aged 18‐75 years) with uncontrolled treated hypertension (systolic blood pressure > 140 mmHg or diastolic blood pressure > 90 mmHg). Number randomised per group not reported

Inclusion criteria: same criteria as above
Exclusion criteria: pregnancy, diabetes mellitus, severe hypertension, renal or pulmonary disease, psychiatric disease, secondary hypertension
Baseline age (SD): 60 years (10); 46% women

Interventions

All groups were treated with a therapeutic strategy that consisted of fosinopril 20 mg/day for 8 weeks with the possible increase to fosinopril + hydrochlorothiazide at 4 weeks. Participants randomised to the intervention group had their 10‐year Framingham risk information provided to their treating physician.

Outcomes

Primary and secondary outcomes not specified. Outcomes reported include: agreement between calculated risk and estimated risk by general practitioner, blood pressure at week 8

1273 participants analysed but number per group not reported
Follow‐up: 8 weeks

Study funding sources

Not reported. 1 author affiliated with a pharmaceutical company

Notes

Study published in French

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomisation stated but method for random sequence generation not reported

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Blinding of outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

High risk

1527 randomised but only 1273 analysed; no reasons provided for loss to follow‐up; no imputation

Selective reporting (reporting bias)

High risk

Outcomes not prespecified and study not registered

Other bias

Unclear risk

Few study details provided in text

Hetlevik 1999

Study characteristics

Methods

Cluster‐randomised controlled trial, parallel group (1:1)

Participants

People with hypertension from 29 primary care health centres in Sor and Nord‐Trondelag counties in Norway

Unit of randomisation: health centre

Number recruited: 29 health centres and 2239 participants total (n = 17 health centres with 984 participants in the intervention group; n = 12 health centres with 1255 participants in the comparison group)

Mean age: 64 years, 58% women, 100% Norwegian

Interventions

Intervention group:

  • Computerised clinical decision support software with risk scores and guideline‐based treatment recommendations

  • Educational seminars

  • Audit and feedback

Comparison group: usual care

Outcomes

Outcomes measured: last registered cholesterol, blood pressure, weight (or BMI), number of cigarettes

Risk score calculated only if enough information available during the search period

Number analysed at 18 month follow‐up: n = 887 intervention, n = 1127 comparison

Number analysed after 3 month extension (21 month follow‐up): n = 879 intervention, n = 1119 comparison

Follow‐up: 18 months initially, trial extended 3 months due to missing data

Study funding sources

Norwegian Medical Association with contribution from the foundation promoting general practice in Sor‐Trondelag

Notes

Issues with intervention fidelity: "After 18 months the CDSS had been used, partly or totally, in the treatment of 104 patient in the intervention group."

Trial extended by 3 months because of inadequate collection of data at 18 months

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Personnel not blinded, and not clear that participants were blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Outcomes abstracted by primary investigator who was not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

> 90% of participants in both groups were missing data to calculate 10‐year CHD risk at 18 months. The trial was extended by 3 months which decreased this amount to ~ 50%

Selective reporting (reporting bias)

Unclear risk

No protocol available for review

Other bias

High risk

Trial extended by 3 months due to missing data. Clinicians provided lists of missing participant information and were asked to resolve this. Poor intervention fidelity (CDSS was used partially or totally in the treatment of only 104 participants in the intervention group)

Holt 2010

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

People aged 50 years and older from primary care practices in West Midlands, UK running the EMIS (Egton Medical Information Systems) LV software

Total number randomised: 38,417 (n = 18,912 intervention, n = 19,235 comparison)

Interventions

Intervention group: receives electronic alert messages identifying participants at high‐risk for CVD, those whose risk factor data is incomplete, and those who may have undiagnosed diabetes mellitus. Health record searched and updated every 24 h. Treatment recommendations not provided. Alerts can be ignored by clinicians

Comparison group: usual care. Computer software acquires data from the electronic health record but does not generate an electronic alert for the clinician

Outcomes

Primary outcome: difference in annual incidence rate of CVD events (composite of CHD, stroke/TIA, myocardial infarction, sudden cardiac death)

Secondary outcomes include differences in the proportion of: high‐risk participants identified, participants with missing data, participants with undefined diabetes mellitus status

Number analysed at follow‐up: 36,092 (n = 18,021 intervention, n = 18,071 comparison)

Follow‐up: 2 years

Study funding sources

Department of Health PhD Studentship from Warwick Medical School

Notes

User was not obliged to respond to the alert

"Recruitment into the study had to be closed before the required number of patients over 50 years could be achieved, due to resource constraints."

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

"The e‐Nudge software automatically randomised registered patients within each practice to intervention and control arms, depending on whether the last digit of the 10‐digit NHS number was odd or even."

Allocation concealment (selection bias)

High risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Physicians were kept unaware of odd/even rule for allocation but an alert would appear each time a patient record was opened

Personnel not blinded; unclear if participants were blind

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Outcomes assessed by electronic abstraction from medical record

Incomplete outcome data (attrition bias)
All outcomes

Low risk

1 practice withdrew from study at 6 months but overall < 10% missing data

Selective reporting (reporting bias)

Low risk

Authors clearly report changes to the protocol and outcomes reported match the protocol and trial registration

Other bias

High risk

Risk of contamination bias because randomisation was at the individual level, and the same physician may have taken care of participants randomised to intervention and control groups

Senior author is the medical director of the software company that provided the e‐Nudge software.

Underpowered for primary outcome

Jacobson 2006

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

People with LDL‐C > 100 mg/dL, no history of CHD or vascular disease, and not currently receiving lipid‐lowering therapy

Inclusion criteria: additional criteria not reported

Exclusion criteria: people older than 74 years, LDL‐C < 100 mg/dL, charts missing risk factor information used to calculate 10‐year CHD risk

Total number of participants randomised: 368 (n = 186 intervention, n = 182 comparison)

Mean (SD) age: 58 (9), 72% women, 92% African American, 6% white, 23% diabetes mellitus

Interventions

Intervention group: charts appended to include 10‐year absolute CHD risk, ATP‐II risk category, and potential treatment options

Comparison group: charts appended with ATP‐II LDL‐C targets and consensus targets for blood pressure, BMI, and haemoglobin A1c. No risk information included

Both groups received a 1‐h academic detailing session to review the importance of risk assessment in cholesterol management

Outcomes

Primary outcome: proportion of high‐risk participants who were recommended a statin

Secondary outcomes: proportion of moderate‐risk participants who were recommended a statin; proportion of entire cohort receiving lifestyle counselling, intensified blood pressure management, or documentation of risk in chart

Total number of participants analysed: 351 (n = 182 intervention, n = 169 comparison)

Study funding sources

Emory University Medical Care Foundation

Notes

Authors report possible protocol violations and randomisation errors

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Method of random sequence generation not reported. "Randomization errors" reported by authors

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

No blinding of personnel; unclear if participants were blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method of outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

High risk

Differential loss to follow‐up (greater in control group); ITT analysis not performed

Selective reporting (reporting bias)

Unclear risk

No protocol available for review

Other bias

High risk

Risk of contamination bias as same physician may have taken care of participants randomised to intervention and control groups

Jorgensen 2014

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Danish residents aged 30‐60 years from 11 municipalities in suburban Copenhagen, Denmark

61,301 people originally randomised within the study but 59,993 people met the inclusion criteria at baseline for this analysis

Total randomised: 59,993 (n = 11,708 intervention, n = 48,285 comparison)

Mean age: not reported, 50% women, 88% Danish

Interventions

Intervention group: invited for screening, risk assessment, and lifestyle counselling up to 4 times over a 5‐year period; high‐risk individuals were offered additional lifestyle counselling on smoking cessation, diet, and physical activity

Comparison group: not invited for screening; formal risk assessment not provided

Outcomes

Primary outcome: incident ischaemic heart disease

Secondary outcome: incident stroke, incident combined ischaemic heart disease and stroke, mortality, and attendance rates

Total analysed in follow‐up: 59,616 (n = 11,629 intervention, n = 47,987 comparison)

Follow‐up: 10 years

Study funding sources

Public, private, and industry sources: Danish Research Councils, Health Foundation, Danish Centre for Evaluation and Health Technology Assessment, Copenhagen County, Danish Heart Foundation, Ministry of Health and Prevention, Association of Danish Pharmacies, Augustinus Foundation, Novo Nordisk, Velux Foundation, Becket Foundation, and Ib Henriksens Foundation

Notes

Trial powered for 70% participation rate in the intervention group but only 52% of people in the intervention group accepted the invitation and were examined at baseline

Data for risk factor levels not available given the pragmatic study design

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"The 61 301 people were randomised by computer generated random numbers with different randomisation ratios in the different age and sex groups …"

*Note for this analysis, 59,313 people met the baseline inclusion criteria.

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Personnel and participants not blinded to intervention but "neither the control group nor their doctor knew that they formed a control group."

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"Use of data from central registers further blinded the assessment of endpoints in relation to randomisation group."

Incomplete outcome data (attrition bias)
All outcomes

Low risk

< 1% loss to follow‐up of event data

Selective reporting (reporting bias)

High risk

Cardiovascular outcomes were not prespecified in the original trial protocol

Other bias

High risk

Potential for contamination bias because randomisation was at the participant level

Koelewijn‐van Loon 2010

Study characteristics

Methods

Cluster‐randomised controlled trial, parallel group (1:1)

Participants

Adults from 25 practices with blood pressure ≥ 140 mmHg or already being treated for high blood pressure, total cholesterol ≥ 6.5 mmol/L or already being treated for high cholesterol, smoking (men ≥ 50 years, women ≥ 55 years), diabetes mellitus, family history of CVD and visible obesity.

Unit of randomisation: primary care practice

Exclusion criteria: existing CVD, familial hypercholesterolaemia

Total randomised: 25 practices with 615 participants (13 practices with 322 participants in the intervention group, 12 practices with 293 participants in the comparison group)

Mean age: 57 years, 55% women, 14% diabetes mellitus

Interventions

Intervention group: received individual 10‐year CVD risk assessment, risk communication via decision aid, motivational interviewing by nurses regarding lifestyle modifications

Comparison group: usual care consistent with Dutch guidelines

Outcomes

Primary outcome: questionnaires to assess fruits and vegetables intake, fat intake, physical exercise, smoking, alcohol consumption; self‐reported adherence to medical treatment; cardiovascular risk factor levels

Secondary outcomes: perception of own health behaviour, attitude towards behaviour change, self‐efficacy, risk perception, anxiety, satisfaction

Total analysed at follow‐up: 24 practices with 526 participants (13 practices with 264 participants in the intervention group, 11 practices with 258 participants in the comparison group)

Follow‐up: baseline, 12 weeks, and 52 weeks

Study funding sources

The Netherlands Organization for Health Research and Development

Notes

Study includes patient‐reported outcomes only

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"An independent statistician performed a central block randomization"

Allocation concealment (selection bias)

Low risk

Treatment allocation performed centrally by an independent statistician

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Because of the training, nurses could not be blinded. To minimize potential bias, patients were informed about the aim of the study, but not about being part of an intervention or control group."

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method of outcome assessment was not reported for all outcomes, but several outcomes were self‐report questionnaires

Incomplete outcome data (attrition bias)
All outcomes

High risk

Participants with missing data were excluded; ITT analysis not performed

Selective reporting (reporting bias)

High risk

Protocol and trial registration reports risk factor levels (cholesterol, blood pressure, and 10‐year CVD risk) as outcomes that would be collected. Protocol also discusses economic analysis but these data are not provided in the published report

Other bias

Low risk

Other sources of bias not identified

Krones 2008

Study characteristics

Methods

Cluster‐randomised controlled trial, parallel group (1:1)

Participants

Adults with measured cholesterol level from 162 primary care practices in Hessen, Germany; recruited from 14 continuing medical education (CME) groups

Unit of randomisation: CME group

Inclusion criteria: additional criteria not reported

Exclusion criteria: CME groups excluded if they participated in previous quality improvement projects

Total randomised at baseline: 14 CME groups (N = 1132)

Intervention group: 7 CME groups with 44 practices (n = 550)

Comparison group: 7 CME groups with 47 practices (n = 582)

Mean age: 59 years, 56% women, 97% German nationality, 18% diabetes mellitus, 20% CVD

Interventions

Intervention group: 2 CME sessions to learn shared decision‐making communication strategies, guideline booklet, paper‐based risk calculator, and individual risk summary sheet for each participant

Comparison group: CME unrelated to CVD prevention

Outcomes

Primary outcomes: relative change in global risk at 6 months, patient participant scale

Secondary outcomes: GP prescription behaviour, CV risk status after 6 months

Total analysed at follow‐up:

Intervention group: 7 CME groups with 40 practices (n = 460)

Comparison group: 7 CME groups with 41 practices (n = 466)

Follow‐up: baseline, after consultation, at 6 months

Study funding sources

The study was funded by the German Federal Ministry of Education and Research, grant No. 01GK0401

Notes

Baseline imbalances with more diabetics and more participants with prior CVD events in the comparison group

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

High risk

Physicians recruited participants after cluster‐randomisation

"physicians were asked to approach all consecutive patients who had their cholesterol levels measured during a period of 4 weeks"

Baseline imbalances between the 2 groups for diabetes mellitus, secondary prevention, and desire to participate in decision‐making

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Participating family doctors could not be blinded because of the intervention. Patients were informed that different kinds of risk communication and decision support would be assessed; they were unaware of their physicians’ group allocation, however."

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"Family doctors provided data on risk factors to calculate a CVD risk score for each patient at baseline and at follow‐up."

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

18% loss to follow‐up. Imputed missing values for individuals missing a single value to calculate 10‐year CVD risk. Large amount of missing data for shared decision‐making questionnaire (but this outcome was not included in this systematic review)

Selective reporting (reporting bias)

Low risk

All outcomes reported in trial registration were reported

Other bias

Low risk

Other sources of bias not identified

Lopez‐Gonzalez 2015

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1:1)

Participants

Public sector workers from Spain recruited from an annual work health assessment

Inclusion criteria: additional criteria not reported

Exclusion criteria: unable to understand medical advice, lacking permanent work contract, failed to attend the 2 scheduled visits ‐ separated by 1 year

Total randomised 3153 participants: (n = 1051 intervention group receiving 10‐year Framingham risk score, n = 1045 intervention group receiving heart age, n = 1057 comparison group with conventional medical advice)

Mean age: 46 (7.1) years, 52% women

Interventions

Intervention groups:

  • Group 1: Framingham 10‐year risk score re‐calibrated to Spanish population + conventional medical advice

  • Group 2: heart age + conventional medical advice. Groups 1 and 2 were combined for these analyses since both of these groups received a CVD risk score. Risk estimates were provided by research assistants trained in risk communication

Comparison group: conventional medical advice without provision of a CVD risk score

Outcomes

Outcomes reported: BMI, fasting lipids (total cholesterol, triglycerides, HDL, glucose), blood pressure, self‐reported smoking, self‐reported physical activity. Results for intervention groups 1 and 2 were combined for the analyses reported in this systematic review

Number analysed at follow‐up 2844 participants: (n = 955 in group 1, n = 914 in group 2, n = 975 in comparison group)

Follow‐up: 1 year

Study funding sources

Not reported by authors

Notes

Few details provided within the study about the means used for calculating and providing the CVD risk score

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"Using a computerized random number generator, the 3153 participants were randomly allocated to one of the three study groups"

However, marked differences in baseline characteristics raises questions about the adequacy of randomisation

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"[S]ingle blind design"

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method of outcome assessment unclear

Incomplete outcome data (attrition bias)
All outcomes

Low risk

10% loss to follow‐up

Selective reporting (reporting bias)

Unclear risk

No protocol available for review

Other bias

Unclear risk

Risk calculator developed by Unilever. Unclear if this model was validated

Lowensteyn 1998

Study characteristics

Methods

Cluster‐randomised controlled trial, parallel group (2:1)

Participants

Adults age 30‐74 years without CVD, recruited from 253 physician practices in Quebec, Canada

Unit of randomisation: continuing medical education (CME) meeting

Inclusion and exclusion criteria: additional criteria not reported

Total randomised at baseline: 24 CME meetings with 253 physicians and 958 enrolled participants

Intervention group: 16 CME meetings with 170 physicians and 782 enrolled participants

Comparison group: 8 CME meetings with 83 comparison group physicians and 176 enrolled participants

Mean age 51 years, 35% women

Interventions

Intervention group: physicians received coronary risk profile (8‐year CHD risk and cardiovascular age) for their participants within 10 working days after the baseline participant assessment

Comparison group: usual care, received coronary risk profile at completion of study (after outcomes collected)

Outcomes

Primary outcome: likelihood of high‐risk vs low‐risk participants being seen at 3‐month follow‐up

Secondary outcome: CVD risk factor levels, 8‐year CHD risk

Total analysed at follow‐up: 291 participants (n = 202 intervention and n = 89 comparison)

Follow‐up: 3 months

Study funding sources

Grant‐in‐aid from Merck Frosst Canada, Inc

Notes

Authors of the study had a financial stake in the computer risk model used for risk prediction

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of sequence generation not reported by authors, but participants "selected" by physicians after randomisation

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method of outcome assessment unclear but likely clinicians who were not blinded

Incomplete outcome data (attrition bias)
All outcomes

High risk

High loss to follow‐up rate. Approximately 70% of participants (667/958) were not reassessed at follow‐up and not included in analyses. Differential loss to follow‐up in intervention group

Selective reporting (reporting bias)

Unclear risk

No protocol available for review

Other bias

High risk

Study funded by Merck. 4 authors had financial stake in the prediction tool that was developed

Mann 2010

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Adult primary care patients with a diagnosis of diabetes mellitus; English‐ or Spanish‐speaking from urban New York

Exclusion criteria: additional criteria not reported

Total randomised at baseline 150 participants (n = 80 intervention, n = 70 comparison)

Mean age: 58 years (SD 11.5), women 73%, 89% Black or Latino, 100% diabetes mellitus

Interventions

The intervention consisted of a provider‐led discussion of the participant's risk using the Statin Choice tool which provided a 10‐year underlying risk category (average ≤ 15%, elevated = 15%‐30%, or high > 30%), a revised risk with statin therapy, and risks of statin treatment

Comparison group: printed material from the American Diabetes Association on how to reduce cholesterol through dietary modifications

Outcomes

Primary outcomes not specified

Outcomes assessed from surveys: statin knowledge, decision

Total analysed at follow‐up ‐ not specified by authors

Study funding sources

Not reported by authors

Notes

There was limited use of the Statin Choice decision support tool by the 46 providers (mean use 1.7 times)

Adherence outcome poorly reported: "At 3 and 6 months, 70% and 80% of the participants reported good adherence to statins with no difference between groups." No further details provided

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded to intervention group

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Self‐reported outcomes

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Not reported

Selective reporting (reporting bias)

Unclear risk

Protocol not available

Other bias

High risk

Limited use of decision support tool in trial

Montgomery 2000

Study characteristics

Methods

Cluster‐randomised controlled trial, parallel group (1:1:1)

Participants

Adults aged 60‐79 years with high blood pressure from 27 general practices from UK

Unit of randomisation: general practice

Exclusion criteria: non‐ambulatory patients, life‐threatening illness, recent major surgery

Total randomised at baseline: 27 general practices with 715 participants (n = 269 computerised decision support + risk chart, n = 264 risk chart, n = 182 usual care)

Mean age: 71 years, 54% women, 11% diabetes mellitus, 11% history of MI or stroke

Interventions

Intervention groups:

  • Group 1: computer‐based clinical decision support + CVD risk chart

  • Group 2: CVD risk chart.

In the "CVD risk chart" group, CVD risk information was manually extracted by nurses and included in the medical record

Comparison group: usual care

Outcomes

Primary outcome: percentage of participants in each group with 5‐year CVD risk ≥ 10%

Secondary outcomes: systolic and diastolic blood pressure, CVD drug prescription

Total analysed at 12 months follow‐up 531 participants (n = 202 computerised decision support + risk chart, n = 199 risk chart, n = 1 usual care)

Follow‐up: 12 months

Study funding sources

NHS Wales Office of Research and Development, grant number RC016, NHS Research and Development Primary Care Career Scientist Award

Notes

For the analyses in this systematic review, participants randomised to both intervention groups were combined (both these groups received CVD risk scores) and were compared with usual care (did not receive systematic provision of a CVD risk score)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Randomisation was performed with a table of random numbers by a researcher not involved in the study and who was blind to the identity of the practices."

Allocation concealment (selection bias)

Low risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Because of the nature of the study, neither the doctors and nurses nor the patients were blind to their study group."

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Outcome assessors were unblinded clinic staff

Incomplete outcome data (attrition bias)
All outcomes

High risk

41% of participants had missing cholesterol data

Selective reporting (reporting bias)

Unclear risk

Protocol not available for review

Other bias

Low risk

Other sources of bias not identified

Montgomery 2003

Study characteristics

Methods

Randomised controlled trial, factorial design (2 × 2)

Participants

Adults aged 32‐80 years with newly diagnosed hypertension from South Western UK

Exclusion criteria: severe hypertension requiring immediate treatment, secondary hypertension, hypertension associated with pregnancy, dementia

Total randomised: n = 217 participants (n = 51 to decision aid + video/leaflet, n = 52 decision aid only, n = 55 video/leaflet only, n = 59 usual care)

Mean age: 59 years, 49% women

Interventions

Intervention group: factorial design with decision support tool ± instructional video and leaflet about cardiovascular risk factors

Comparison group: usual care

Participants randomised to the decision support tool received a CVD risk score

Outcomes

Primary outcome: decisional conflict scale

Secondary outcomes: subscales of decision conflict scale related to uncertainty and decision quality; intention to start treatment; anxiety; knowledge; treatment decision

Total analysed at follow‐up for primary outcome: n = 212 (n = 50 decision aid + video/leaflet, n = 50 decision aid only, n = 54 video/leaflet only, n = 58 usual care)

Total analysed at 3‐month follow‐up for secondary outcomes: n = 199 (n = 48 decision aid + video/leaflet, n = 48 decision aid only, n = 51 video/leaflet only, n = 52 usual care)

Follow‐up: 3 months for initial study

3‐year extended follow‐up reported in a subsequent study published by Emmert et al. 2005

Total analysed at 3 years follow‐up: n = 188 (n = 87 decision aid, n = 101 no decision aid)

Study funding sources

Medical Research Council, National Health Service Primary Care Career Scientist Award

Notes

For the analyses in this systematic review, all participants randomised to the decision support tool, which provided a CVD risk score, were combined and compared with participants not randomised to the decision support tool

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"The allocation schedule was computer‐generated by an individual not involved in the study and executed by one of the authors (AM), to whom the allocation was concealed in advance by the nature of the minimisation procedure."

Allocation concealment (selection bias)

Low risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Given the nature of the interventions, there was no masking of participants or the researcher administering the interventions (AM)."

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"Likewise, blinding was not possible for outcome assessment, as this was conducted principally through self‐completion questionnaires."

Incomplete outcome data (attrition bias)
All outcomes

Low risk

< 10% loss to follow‐up; ITT analysis performed

Selective reporting (reporting bias)

Unclear risk

Protocol document not available

Other bias

Low risk

Other sources of bias not identified

Peiris 2015

Study characteristics

Methods

Cluster‐randomised controlled trial, parallel group (1:1)

Participants

Patients from primary care practices in Sydney, Australia and New Zealand who had attended the service 3 or more times in a 24 month period and at least once in a 6 month period.

Unit of randomisation: primary care practice

Specific inclusion and exclusion criteria not reported

Total randomised at baseline: 61 primary care practices with 38,725 participants (n = 31 practices with 19,385 participants in intervention group; n = 30 practices with 19,340 participants in comparison group)

Total "high‐risk" participants randomised at baseline: 10,308 participants (n = 5392 intervention group, n = 4916 comparison group)

Mean age: 61 years, 58% women, 17% diabetes mellitus, 13% CVD

Interventions

Intervention group: clinical decision support software, audit and feedback tools, guideline dissemination and staff training. Clinical decision support software presented 5‐year CVD risk information and heart age.

Comparison group: usual care

Outcomes

Primary outcome: proportion of participants who received "appropriate" screening of CVD risk factors by end of study; proportion of high‐risk participants receiving recommended medication prescription

Secondary outcomes: CV risk factor levels, incident CVD events, escalation of drug prescriptions in high‐risk people

Total analysed at follow‐up: 60 primary care practices (n = 30 intervention group, n = 30 comparison group). 1 practice withdrew from the intervention group shortly after randomisation, but this did not affect number of total participants.

Total 'high‐risk' participants analysed at follow‐up: 10,181 participants (n = 5335 intervention group, n = 4846 comparison group)

Median follow‐up: 17 months

Study funding sources

The National Health and Medical Research Council of Australia and the New South Wales Department of Health

Notes

Authors report higher than anticipated intracluster coefficients in their analyses

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Permuted block randomisation was centrally performed using a web‐based form."

Allocation concealment (selection bias)

Low risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Participating services did not make any special provisions to advertise the trial and their allocation status to patients; however, it would be reasonable to assume that when the tools were used during a consultation, patients may have been aware of the intervention."

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"[O]utcome analyses were conducted blinded to randomised allocation"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

ITT analysis used

Selective reporting (reporting bias)

Low risk

All outcomes from protocol and trial registration were reported

Other bias

Unclear risk

Marked baseline imbalances between the groups that were not statistically significant due to larger than expected intracluster coefficients (ICC)

Perestelo‐Perez 2016

Study characteristics

Methods

Cluster‐randomised trial, parallel group (1:1)

Participants

Patients from primary care centres in Tenerife, Spain

Unit of randomisation: clinician

Study aim: to assess the efficacy of the statin choice decision aid compared to usual primary care in Spanish participants with type 2 diabetes mellitus

Inclusion criteria: 18 years of age or older, type 2 diabetes mellitus, Spanish language‐speaking, and no cognitive or sensorial impairments

Exclusion criteria: no additional criteria listed

Total randomised at baseline: 29 physicians with 168 participants (n = 15 physicians with 86 participants in intervention group, n = 14 physicians with 82 participants in the comparison group)

Mean age (SD): intervention 63.9 years (9.7) and control 59.6 years (12.3); sex: intervention 41% women, control 34% women; 100% diabetes mellitus; 10‐year risk category: intervention 37.6% high risk, control 25.3% high risk; ischaemic heart disease: intervention 24%, control 18%

Interventions

Intervention group: statin choice decision aid about the use of statins. The decision aid consisted of a 3‐page pamphlet listing: CVD risk factors, 10‐year CVD risk based on the UKPDS risk engine presented in pictographs with and without statins, list of adverse effects of statins and their incidence

Comparison group: usual care

Outcomes

Primary and secondary outcomes not specified

Outcomes reported: statin knowledge, risk perception, decisional conflict scale (DCS), satisfaction with decision‐making, problem areas in diabetes questionnaire, self‐report of statin taking, self‐report of adherence at 3 months (Morisky), consultation time by physician

Follow‐up: immediately after encounter and at 3 months

Total analysed at 3 months follow‐up: 131 participants (n = 67 intervention, n = 64 comparison)

Study funding sources

Spanish Ministry of Health, Social Services and Equality (grant number: EC10‐005)

Notes

Analyses of outcomes accounted for clustering, but no power calculations performed. Significant baseline differences between intervention and control groups. At 3 months, 20% of participants were lost to follow‐up (but 42% missing data for adherence outcome). ITT analysis not performed

Study funded by Spanish Ministry of Health, Social Services and Equality (grant number: EC10‐005)

No conflicts of interest reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Physicians who consented to participate were randomised to intervention or usual care by means of a computer‐generated list."

Allocation concealment (selection bias)

High risk

Participants were recruited to the trial by clinicians and this occurred after clinicians were randomised

Significant baseline difference between the 2 treatment groups suggests high risk of selection bias. Participants in the intervention group were significantly older, had more hypertension, and were more likely to be prescribed statins at baseline than participants in the control group

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and clinicians not blinded to intervention

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported by authors but all outcomes were measured by participant self‐report

Incomplete outcome data (attrition bias)
All outcomes

High risk

34/168 (20%) participants were lost to follow‐up. Adherence data were missing for 71/168 (42%) participants. ITT analysis not performed

Selective reporting (reporting bias)

High risk

Per clinical trial registration, the primary outcome was adherence at 3 months as measured by Morisky scale, chart abstraction, and pharmacy records. This was not reported as a primary outcome by the authors and the latter 2 methods were not used to measure adherence

Several secondary outcomes not reported: haemoglobin A1c, lipid profile, health‐related quality of life, consultation time

Other bias

High risk

Small study bias

Persell 2013

Study characteristics

Methods

Cluster‐randomised controlled trial, parallel group (1:1)

Participants

Participants aged 40‐79 years from 29 physician panels with a Framingham risk score of at least 5%, LDL cholesterol level above guideline threshold for drug treatment, and not prescribed a lipid‐lowering medication

Exclusion criteria: coronary heart disease, heart failure, stroke, diabetes mellitus, peripheral vascular disease

Total randomised at baseline: 29 physicians with 435 participants (n = 14 physicians and 218 participants in the intervention group, n = 15 physicians and 217 participants in the comparison group).

Mean age 60.7 years, 23% women, mean Framingham Risk score (SD): 14.2 (6.7) in intervention group and 13.8 (6.3) in comparison group

Interventions

Intervention group: patients of physicians randomised to the intervention group were mailed individualised CVD risk messages that described benefits of using a statin (and controlling hypertension or quitting smoking when relevant)

Comparison group: usual care

Outcomes

Primary outcome: occurrence of a LDL‐cholesterol level that was at least 30 mg/dL lower than prior

Secondary outcome: lipid‐lowering drug prescription, aspirin prescription, change in systolic and diastolic blood pressure, difference in number of antihypertensive medications prescribed, documentation of quitting smoking

Follow‐up: 9 months; but extended to 18 months post hoc

Total analysed in follow‐up: same as above

Study funding sources

Agency for Healthcare Research and Quality, USA

Notes

Primary endpoint at 9 months not met in the original protocol but analyses included a 18‐month post hoc analysis that did achieve the primary endpoint

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Randomization was performed using a random number generator (SAS 9.2, SAS Institute Inc., Cary, NC) by a researcher who was not aware of the physicians’ order in the blocks. Allocation to intervention or control groups was not revealed until after randomization was completed."

Allocation concealment (selection bias)

Low risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"All outcomes were assessed by applying the outcome criteria to patient data automatically collected from EHRs using automated searches. No human judgment was involved in outcome assessments."

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

ITT analysis performed

All included participants analysed but only 38% of intervention and 34% of control had LDL testing which biases result to null

Selective reporting (reporting bias)

Low risk

All outcomes from trial registration were reported

Other bias

Unclear risk

Initial trial follow‐up planned for 9 months; extended to 18 months post hoc

Persell 2015

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

646 men 35 years or older and women 45 years or older, without CVD or diabetes mellitus, and with a 10‐year risk of CHD > 10% in 11 federally qualified health centres in the USA

Exclusion criteria: diagnosed vascular disease, diabetes mellitus, primary language other than English or Spanish, primary care clinician discretion

Mean age 60 years, 11% women, 50% African American, 33% non‐Hispanic white, 13% Hispanic

Interventions

Intervention group: the intervention group received telephone and mailed outreach with individualised CVD risk information and uncontrolled risk factors provided by lay health workers.

Comparison group: usual care

Outcomes

Primary outcome: discussion about drug treatment for cholesterol at 6 months, follow‐up LDL‐cholesterol level > 30 mg/dL lower than baseline value

Secondary outcome: statin prescription at 6 months, repeat LDL‐cholesterol test at 1 year

Follow‐up: 1 year

Study funding sources

Agency for Healthcare Research and Quality, USA

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"A Northwestern investigator (SP) who was not aware of patients' identities, stratified eligible patients by CHC network then randomly assigned patients in a 1:1 ratio within each stratum using a random number generator in SAS 9.3 statistical software."

Allocation concealment (selection bias)

Low risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel were not blinded to intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"Northwestern investigators reviewed these charts and were blinded to study group assignments."

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Pragmatic trial design. Outcomes obtained as a part of routine care. Only 36% of participants had a repeat LDL cholesterol test after 1 year.

Selective reporting (reporting bias)

Low risk

All outcomes from clinical trial registration reported. Post hoc outcomes and analyses delineated in manuscript

Other bias

Unclear risk

Potential for contamination bias since randomisation occurred at the level of participant

Price 2011

Study characteristics

Methods

Randomised controlled trial, 2 × 2 factorial design

Participants

Adults at increased CVD risk (10‐year Framingham risk ≥ 20%) recruited from 4 general practices in Oxfordshire, UK

Exclusion criteria: prevalent cardiovascular disease (MI, stroke, TIA, prior revascularisation), physical disability or condition reducing the ability to walk

Total randomised at baseline 194 (n = 99 to personalised 10‐year CVD risk estimate, n = 95 to risk factor levels only)

Mean age: 62 years, 33% women, 98% white, 19% diabetes mellitus

Interventions

Participants were randomised in a 2 × 2 factorial design to receive: either a personalised 10‐year cardiovascular disease risk estimate from a decision support tool or were told their blood pressure, total cholesterol, and fasting glucose values and if they were elevated per guidelines. Participants were simultaneously randomised to receive or not receive a brief lifestyle intervention by slideshow targeting physical activity, diet, and smoking.

Results presented for decision support tool compared with no decision support

Outcomes

Primary outcome: physical activity at 1 month, cardiovascular risk factor levels at 1 month

Secondary outcomes: BMI, cholesterol levels, fasting glucose, anxiety, quality of life, self‐regulation, worry about heart attack risk, intention to increase physical activity, recall of risk information

Total analysed at follow‐up 185 (n = 94 in personalised 10‐year CVD risk group, n = 91 in risk factor levels only group)

Follow‐up: 1 month

Study funding sources

Diabetes Trials Unit Fellowship, Insulin Dependent Diabetes Trust

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Computerized randomization was used to allocate participants and was performed internally."

Allocation concealment (selection bias)

Low risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants were not blinded.

"One research fellow remained unblinded in order to deliver the intervention."

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"Research nurses who inputted data were blind to intervention allocation."

Incomplete outcome data (attrition bias)
All outcomes

High risk

ITT analysis but "valid baseline and follow‐up accelerometer data were only available for 125 participants (64%)".

Selective reporting (reporting bias)

Low risk

Outcomes reported as outlined in the protocol document

Other bias

Low risk

Other sources of bias not identified

Sheridan 2006

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Men and women aged 35‐75 years without CVD in North Carolina, USA

Exclusion criteria: prior history of CVD, serious chronic medical condition that would limit their candidacy for screening (i.e. chronic renal failure, cirrhosis of the liver, HIV, current non‐skin cancer), people who had participated in a previous quality improvement initiative

Total randomised 87 adults (n = 49 to intervention group, n = 38 to comparison group)

Mean age 53 years, 59% women, 73% white, 23% African American, 8% diabetes mellitus

Interventions

Intervention group: participants provided with most‐recent risk factor information and instructed to review a computerised decision support tool prior to clinic visit. The decision support tool provided individualised CHD risk, the pros and cons of pertinent risk‐reducing therapies, and the amount of risk reduction achievable after 1 or more therapeutic interventions.

Comparison group: provided a list of their cardiovascular risk factors

Outcomes

Primary outcome: discussion with provider about CHD risk reduction, plans for CHD risk reduction

Secondary outcomes: knowledge about CHD prevention, perception of CHD risk, interest in participating in decision‐making, accuracy of risk perception, self‐perceived barriers to risk reduction

Total analysed 75 adults (n = 41 in intervention group, n = 34 in comparison group)

Study funding sources

Internal funding from Department of Medicine at University of North Carolina

Notes

2 authors received consulting and licensing fees from Bayer, Inc. 1 author received honoraria and consulting fees from Merck, Pfizer, and Glaxo Smith Kline.

Small pilot study

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"We used a computerized random number generator to randomize patients to receive either the Heart to Heart decision aid or a list of their CHD risk factors that they could present to their doctor."

Baseline imbalances in key parameters such as CHD risk factors, baseline CHD risk, and interest in prevention strategies

Allocation concealment (selection bias)

Low risk

"Intervention assignments were sealed in security envelopes until after subjects agreed to participate in the study. The research assistant then broke the seal to determine intervention assignment."

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"We blinded patients to the purpose of our study by telling them only that they were participating in a study about "prevention of CHD." Doctors were not blinded and saw patients in both the decision aid and control group.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method of outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

12 participants excluded postrandomisation (8 because they did not meet eligibility criteria); ITT analysis not performed

Selective reporting (reporting bias)

Low risk

All outcomes from trial registration were reported

Other bias

High risk

Small study bias with key baseline imbalances in spite of randomisation

Possible contamination bias as same doctors saw participants who were in intervention and control groups

Sheridan 2011

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Men and women aged 40‐79 years with no history of CVD or diabetes mellitus, at moderate or high‐risk based on Framingham risk score

Exclusion criteria: serious medical condition that limited life expectancy to less than 5 years, first clinic visit, no cholesterol level checked in 18 months, extreme risk factor levels (systolic blood pressure > 180 mmHg or total cholesterol > 300 mg/dL)

Total randomised at baseline: 160 participants (n = 81 to intervention group, n = 79 to comparison group)

Mean age: 63 years, 28% women, 86% white, 10% African American

Interventions

Intervention group:

  • web‐based, computerised decision support tool to promote initiation of effective CHD prevention strategies prior to clinic visit that included provision of personalised CVD risk estimate

  • series of automated mailed tailored messages to promote adherence to medications at 2, 4, and 6 weeks

Comparison group: usual care

Outcomes

Primary outcome: feasibility of subject recruitment, intervention delivery, and measurement of study outcomes

Secondary outcomes: self‐reported adherence, global CHD risk, blood pressure, serum total and HDL cholesterol levels, smoking status, aspirin use, intent to start CHD reducing medication, self‐efficacy for CHD risk reduction

Total analysed: 154 participants (n = 77 intervention group, n = 77 comparison group)

Follow‐up: 3 months

Study funding sources

National Heart, Lung, and Blood Institute, USA; National Cancer Institute, USA; American Heart Association

Notes

Feasibility study, no power calculation

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method for sequence generation not reported. Baseline imbalances between intervention and control noted

Allocation concealment (selection bias)

Unclear risk

"Patients were randomised by study staff who accessed an online randomised schedule."

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Physicians were not blinded and saw patients in both the intervention and control group."

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Method of outcome assessment not reported

Incomplete outcome data (attrition bias)
All outcomes

Low risk

"The study lost 6 patient participants during follow‐up, resulting in a 96% follow up rate."

Selective reporting (reporting bias)

Low risk

All outcomes reported in trial registration reported

Other bias

High risk

"[P]hysicians saw patients in both the intervention and control groups, which may have resulted in contamination between study groups."

Soureti 2011

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1:1:1)

Participants

Men and women age 30‐60 years with obesity (BMI ≥ 29 kg/m²)

Exclusion criteria: diagnosis of a heart condition or cancer, being pregnant

Total randomised at baseline 781 participants (n = 197 to CVD risk message, n = 194 to CVD risk message + automated health planning tool, n = 195 to health planning tool alone, n = 195 to educational information (control)

Mean age: 47 years. Few baseline characteristics presented

Interventions

Participants randomised to 1 of 3 intervention groups: a CVD risk message, CVD risk message + automated health planning tool, health planning tool alone

Comparison group: educational information about diet low in saturated fats without CVD risk message or planning tool

For this systematic review, data for participants in the 2 CVD risk message groups were combined and compared with participants in the 2 groups that did not receive a CVD risk message (n = 392 intervention group, n = 389 comparison group)

Outcomes

Primary outcome: saturated fat intake as measured by self‐reported food‐frequency questionnaire, 2‐item scale to evaluate consumption of low‐fat foods

Secondary outcomes: CVD risk perception, intention to reduce saturated fat intake, self‐efficacy, planning and outcome expectancies

Total analysed in follow‐up 581 participants (n = 141 in CVD risk message group, n = 137 in CVD risk message + automated health planning tool, n = 141 in automated health planning tool alone, n = 141 in educational information (control)

For this systematic review, n = 278 in CVD risk groups, n = 282 in comparison groups

Follow‐up: 5 weeks

Study funding sources

Unilever funded and created the Heart Age score tested in the study

Notes

Internet‐based trial with a large amount of missing data

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Method of blinding not reported

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Outcomes were patient‐reported

Incomplete outcome data (attrition bias)
All outcomes

High risk

> 20% loss to follow‐up; ITT analysis not performed

Selective reporting (reporting bias)

High risk

Trial registered retrospectively

Other bias

High risk

Trial funded by Unilever and multiple authors were employees of Unilever. Heart Age Calculator software was also proprietary of Unilever

Turner 2012

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

African American adults aged 40‐75 years with uncontrolled hypertension

Exclusion criteria: individuals with > 40% missed or cancelled clinic appointments during the past 3 years

Total randomised: 280 participants (n = 136 intervention group, n = 144 comparison group)

Mean age: 62 years, 65% women, 100% African Americans, 54% diabetes mellitus, 18% with CAD or equivalent

Interventions

Intervention group:

  • 3 monthly calls from trained peer coach with well‐controlled hypertension

  • 2 visits on alternate months with health educator to review a personalised 4‐year heart disease calculator and slide shows about heart disease risks

Comparison group: received written material, brochures, and cookbook from American Heart Association addressing healthy lifestyle

Outcomes

Primary outcome: change in 4‐year CHD risk at 6 months

Secondary outcomes: 5 mmHg or greater reduction in SBP at 6 months; absolute change in blood pressure

Total analysed for primary outcome: 212 participants (n = 96 intervention group, n = 118 comparison group)

Follow‐up: 6 months

Study funding sources

Robert Wood Johnson Foundation and the staff of the Finding Answers, Disparities Research for Change Program; unrestricted

Notes

Intervention targeted to individuals with uncontrolled hypertension but mean blood pressure was 140.5/81.2 mmHg

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"[R]andomised at a 1:1 ratio using random computer‐generated assignments"

Allocation concealment (selection bias)

Unclear risk

Method of allocation concealment not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"[S]ingle‐blinded study;" "All providers were blinded to the study arm."

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"The 6‐month endpoint blood pressure was performed by blinded office medical assistants"

Incomplete outcome data (attrition bias)
All outcomes

High risk

Greater missing data in the intervention group

"After 6 months, 94 (69%) intervention subjects and 118 (82%) control subjects had 4‐year CHD risk assessed"

Selective reporting (reporting bias)

Unclear risk

Trial registration retrospectively; all outcomes from trial registration reported

Other bias

Unclear risk

Unrestricted supplementary funding from Pfizer, Inc

Vagholkar 2014

Study characteristics

Methods

Cluster‐randomised trial, parallel group (1:1)

Participants

People aged 45‐69 years without CVD, recruited from 34 general practices in urban Sydney, Australia

Unit of randomisation: practice

Exclusion criteria: insufficient English skills, cognitively impaired, Aboriginal or Torres Strait Islander, diagnosed or treated CVD

Total randomised: 34 clusters of 1074 participants (n = 18 practices with 567 participants in the intervention group, n = 16 practice with 507 participants in the comparison group)

Mean age: 56 years, 58% women, 56% Anglo‐Celtic, 12% diabetes mellitus

Interventions

Intervention group: physicians received training on the importance of absolute risk assessment and use of a CVD risk calculator; participants received a 20‐30 min consultation that involved calculating cardiovascular risk and providing appropriate management based on risk level and current guidelines

Comparison group: general health check

Outcomes

Primary outcome: antihypertensive medication prescription, lipid‐lowering medication prescription at 12 months

Secondary outcomes: changes in blood pressure and blood lipids; self‐reported smoking; self‐reported physical activity levels; diet consumption

Total analysed: 34 clusters of 906 participants (n = 18 practices with 475 participants in the intervention group; n = 15 practices with 431 participants in the comparison group)

Follow‐up: 12 months

Study funding sources

National Health and Medical Research Council of Australia

Notes

Only 685/1074 (64%) had values available for risk assessment

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"A person (U.J.) independent of the intervention and data collection conducted the allocation using a computer randomization program."

Allocation concealment (selection bias)

Low risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Personnel not blinded to intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"Research staff collecting practice data were blinded to group allocation, as were patients."

Incomplete outcome data (attrition bias)
All outcomes

High risk

Large amount of missing data. Only 64% of participants had values available for risk assessment

Selective reporting (reporting bias)

High risk

Several outcomes (such as health‐related quality of life) mentioned in trial registry and protocol were not reported in this report

Other bias

Low risk

Other sources of bias not identified

Van Steenkiste 2007

Study characteristics

Methods

Cluster‐randomised controlled trial, parallel group (1:1)

Participants

People aged 40‐75 years without CVD recruited from 45 primary care clinicians

Unit of randomisation: primary care clinician

Additional inclusion and exclusion criteria not reported

Total randomised: 45 primary care clinicians with 623 participants (n = 19 primary care clinicians with 332 participants in intervention group, n = 26 primary care clinicians with 291 participants in the comparison group

Mean age: 54 years, 55% women, 100% Dutch, 20% diabetes mellitus

Interventions

Intervention group: primary care clinicians trained to use cardiovascular risk in guidelines and in the use of a clinical decision support tool (paper booklet) provided to participants prior to clinic visit (2 clinic visits separated by 2 weeks)

Comparison group: educational materials about the guidelines on paper

Outcomes

Primary outcome not specified. Outcomes reported: appropriate risk classification, appropriate assessment, appropriate smoking advice, appropriate dietary advice

Secondary outcomes: anxiety, appropriateness of perceived risk, self‐reported lifestyle changes (smoking in past 7 d, phys activity > 2 h, EtOH use, BMI > 30), self‐efficacy regarding lifestyle changes

Total analysed at 0 weeks: 490 participants (n = 276 intervention group, n = 200 comparison group)

Total analysed at 26 weeks: 427 participants (n = 227 intervention group, n = 200 comparison group)

Follow‐up: 26 weeks

Study funding sources

The Netherlands Organization for Health Research and Development

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"A computer was used for the stratified randomization, which was at practice level to prevent contamination of the intervention within group practices."

Allocation concealment (selection bias)

High risk

Participant recruitment occurred after cluster‐randomisation which increases the risk of selection bias

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Outcomes assessed by physicians who were not blinded to intervention

Incomplete outcome data (attrition bias)
All outcomes

High risk

> 20% loss to follow‐up; ITT analysis not performed

Selective reporting (reporting bias)

Unclear risk

Protocol not available for review

Other bias

Low risk

Other sources of bias not identified

Webster 2010

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Adult Australian residents with access to the Internet, trial recruitment strategies geared toward individuals with self‐reported hypercholesterolemia

Total randomised: 2099 participants (n = 1062 participants intervention group, n = 1037 participants comparison group)

Mean age: 56 years, 55% women, 12% diabetes mellitus, 9% CHD

Interventions

Intervention group: individuals assigned to intervention received immediate, fully automated, personally tailored cholesterol treatment advice based on current Australian guidelines regarding the need for starting or increasing statin therapy or non‐drug intervention strategies.

Comparison group: provided with general information about cholesterol management

Outcomes

Primary outcome: number of participants reporting starting or increasing lipid‐lowering medication

Secondary outcomes: number of participants who self‐reported: a cholesterol level, doctor visit, start of a healthy diet, start of an exercise programme, weight‐loss, smoking cessation, blood pressure check‐up

Total analysed: same as above (ITT)

Follow‐up: 8 weeks

Study funding sources

MBF Australia, Pfizer, National Health and Medical Research Council of Australia Program Grant (Grant ID: 571281)

Notes

Internet‐based study, no human contact

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Randomization was done automatically in real time by a central computerized service run by the investigators at The George Institute for International Health."

Allocation concealment (selection bias)

Low risk

See above

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

"Participants were not informed of the precise randomised comparison being made and were simply told that they were participating in a trial that sought to ‘find out if advice about cholesterol provided on the Internet can improve your cholesterol management.’"

"Investigators were blinded to the allocation of all individuals throughout the trial."

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Outcomes self‐reported by participants

Incomplete outcome data (attrition bias)
All outcomes

Low risk

93% follow‐up, ITT analysis performed

Selective reporting (reporting bias)

Low risk

All prespecified outcomes reported

Other bias

High risk

Outcomes subject to recall bias

Welschen 2012

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Type‐2 diabetics under the age of 75 years newly referred to the Diabetes Care System West‐Friesland, a managed care system in the Netherlands

Exclusion criteria: unable to read/write Dutch, history of stroke/TIA

Total randomised: 262 participants (n = 132 intervention group, n = 130 comparison group)

Mean age 59 years, 44% women, 100% diabetes mellitus

Interventions

Intervention group: received: risk communication intervention from trained diabetes nurses and dieticians in addition to usual care. Risk communication consisted of: general explanation about risks of diabetes mellitus, presentation of 10‐year absolute CVD risk, visual/graphical presentation of absolute and relative risk, and explanation of treatment benefits using a 'positive' frame

Comparison group: received usual care provided by the diabetes nurses and dieticians of the Diabetes Care System which consisted of general information about having diabetes mellitus and education about treatment options and lifestyle modifications

Outcomes

Primary outcome: appropriateness of risk perception.

Secondary outcomes: anxiety, generalised worry, illness perception, attitude, intention to change behaviour, satisfaction with communication

Total analysed: 204 participants (n = 102 intervention group, n = 102 comparison group)

Follow‐up: 12 weeks

Study funding sources

Dutch Diabetes Research Foundation Grant 2007.13.004

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"All participating patients gave written informed consent and were randomised into an intervention and a control group by means of a list drawn up by a computerized randomisation program (version 1.0.0; Random Allocation Software)."

Allocation concealment (selection bias)

Low risk

"The manager of the DCS [Diabetes Care System], who is not involved in the patients' care, allocates the patient to one of the two groups on the basis of the randomisation list."

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded to intervention

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Outcomes derived from self‐report questionnaires

Incomplete outcome data (attrition bias)
All outcomes

High risk

> 20% loss to follow‐up; ITT analysis not performed

Selective reporting (reporting bias)

Low risk

All pre‐specified outcomes from protocol were reported

Other bias

High risk

Potential for contamination because the same diabetes nurses and dieticians delivered the risk communication intervention and usual care

Williams 2006

Study characteristics

Methods

Randomised controlled trial, parallel group (7:3)

Participants

Inclusion criteria: adult smokers who smoked > 5 cigarettes/day

Exclusion criteria: history of psychotic illness, unable to read/speak English, minimum life expectancy of 18 months

Total randomised: 1006 participants (n = 714 intervention group, n = 292 comparison group)

Mean age: 46 years, 64% women, 82% white

Interventions

Intervention group: multifaceted intervention

  • Encouraged to meet at least 4 times with a counsellor (in‐person or by phone)

  • Encouraged to meet twice with a dietician if LDL cholesterol was elevated

  • Provided with a choice of a study physician or 1 of their own to prescribe medications

Counselors were trained to support participants in making clear and autonomous choices and goal‐setting.

Comparison group: received booklets on smoking cessation and healthy diet; also encouraged to enrol in a smoking cessation programme and to meet with their physician

Outcomes

Primary outcome: 12‐month prolonged tobacco abstinence

Secondary outcomes: change in percent calories from fat, LDL‐C from baseline to 18 months

Total analysed: same as above (ITT analysis)

Follow‐up: 18 months

Study funding sources

National Institute of Mental Health, USA; National Cancer Institute, USA

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported

Allocation concealment (selection bias)

Low risk

"The results of a stratified permutated blocked randomization were placed in numbered double‐sealed security envelopes."

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel not blinded to treatment assignment

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Self‐reported outcomes

Incomplete outcome data (attrition bias)
All outcomes

High risk

28% loss to follow‐up at 18 months; ITT analysis reported by authors but analyses appear to be completers analysis for LDL

Selective reporting (reporting bias)

Low risk

Prespecified outcomes all reported

Other bias

Unclear risk

Received funding from pharmaceutical industry

Wister 2007

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Participants age 45‐64 years from the Fraser Health region in British Columbia, Canada

Exclusion criteria: no additional criteria specified

Number of primary prevention participants randomised: 315 participants (n = 157 intervention group, n = 158 comparison group)

Mean age: 56 years, 58% women

Interventions

Intervention group: participants and their primary care doctor received a 'report card' showing the person's CVD risk profile; also participants received Telehealth lifestyle counselling by 2 kinesiologists trained in motivational interviewing every 6 months for approximately 30 min per session.

Comparison group: usual care

Outcomes

Primary outcome: Framingham risk score

Total analysed: same as above (ITT analysis)

Follow‐up: 1 year

Study funding sources

Canadian Institutes of Health Research, Community Alliance for Health Research Program, project 43267

Notes

This study included participants eligible for either primary or secondary prevention but randomised and analysed these 2 groups separately. For this systematic review, we report on the 315 participants in the primary prevention group.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"The study statistician then randomly assigned the participants to the intervention or control study arm according to computer‐generated random numbers."

Allocation concealment (selection bias)

Unclear risk

"The research coordinator received the assignment codes in envelopes, which were concealed from all members of the research team and were not opened by the coordinator until the point of randomization."

Not reported if sealed or opaque

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Personnel not blinded to intervention but "all data were collected without patients’ knowledge of group allocation."

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"The outcome assessors were blinded to group allocation …"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No major loss to follow‐up. ITT analysis with multiple imputation of missing data performed

Selective reporting (reporting bias)

Unclear risk

No protocol document available for review

Other bias

Unclear risk

Potential for contamination bias but sensitivity analysis removing analysis of all participants who shared a physician did not result in change in point estimates

Zullig 2014

Study characteristics

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Adults with CVD or a CVD‐risk equivalent condition, at least 1 modifiable risk factor (e.g. hypertension or active smoking)

Exclusion criteria: patients with metastatic cancer, dementia, psychosis, or end‐stage renal disease; no Internet access; nursing care; unable to read English; heart transplant; hospitalised for a cardiac‐related illness in the previous 3 months

Total randomised: 96 participants (n = 47 intervention group. n = 49 comparison group)

Mean age: 63 years, 68% women, 62% white, 32% African American, 29% diabetes mellitus

Interventions

Intervention group: participants were presented a web‐based decision support tool that calculated their CVD risk based on the Framingham risk score and in subsequent online encounters could select modules with evidence‐based recommendations regarding healthy lifestyle behaviours (medication adherence, diet, risk factor knowledge, smoking cessation)

Comparison group: usual care, received general printed educational CVD information

Outcomes

Outcomes reported: mean differences in 10‐year Framingham risk score, BMI, smoking status, systolic blood pressure, and self‐reported medication adherence

Total analysed: not reported

Follow‐up: 3 months

Study funding sources

Informed Medical Decisions Foundation, grant number 0170‐1

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of random sequence generation not reported but authors report baseline differences between participants, so this may be high risk of bias

Allocation concealment (selection bias)

Unclear risk

"Randomization assignments were placed in sealed, consecutively numbered envelopes."

Not reported if envelopes were opaque

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and personnel were not blinded to the intervention.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Unclear who assessed 3 month follow‐up visit outcomes. Medication use was self‐reported

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Outcome data were not clearly reported including number of participants contributing to data

Selective reporting (reporting bias)

Unclear risk

Protocol document not available

Other bias

Unclear risk

Small study bias

ATP: Adult Treatment Panel, of the National Cholesterol Education Program; BMI: body mass index; CAD: coronary artery disease; CDSS: computerised clinical decision support; CHD: coronary heart disease; CME: continuing medical education; CVD: cardiovascular disease; FRS: Framingham risk score; GHQ: general health questionnaire; HTN: hypertension; ITT: intention‐to‐treat; LDL: low‐density lipoprotein; MI: myocardial infarction; SBP: systolic blood pressure; TIA: transient ischaemic attack.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Ajay 2014

Risk score not part of the intervention

Allen 2011

Risk score not part of the intervention

Avis 1989

Risk score not part of the intervention (health risk appraisal)

Baruth 2011

Risk score not part of the intervention

Berra 2007

Risk score not part of the intervention

Bjarnason‐Wehrens 2013

Risk score not part of the intervention

Black 2014

Risk score not part of the intervention

Botija‐Yague 2007

Risk score not part of the intervention

Branda 2013

Risk intervention used in both groups

Brett 2012

Risk score used in both groups

Bruckert 2008

Risk score not part of the intervention

Carrington 2012

Risk score not part of the intervention

CARRS 2012

Risk score not part of the intervention

Carter 2009

Risk score not part of the intervention

Carter 2015

Not primary prevention

Chow 2009

Risk score not part of the intervention

Claes 2007

Risk score used in both groups

Cleveringa 2008

Not primary prevention

Cochrane 2012

Risk score not part of the intervention

Colwell 2011

Risk score not part of the intervention

Daniels 2012

Risk score not part of the intervention

Deales 2014

Risk score not part of the intervention

Dresser 2009

Risk score not part of the intervention

Edwards 2006

Clinical vignettes/hypothetical patients

El Fakiri 2008

Risk score not part of the intervention

Evans 2010

Risk score used in both groups

Fabregas 2014

Risk score not part of the intervention

Fretheim 2006

Risk score not part of the intervention

Freund 2015

Not RCT or quasi‐RCT

Gill 2009

Risk score not part of the intervention

Gomez‐Marcos 2006

Risk score not part of the intervention

Green 2014

Risk score used in both groups

Harmsen 2014

Risk score used in both groups

Holbrook 2011

Risk score not part of the intervention

Hormigo‐Pozo 2009

Risk score not part of the intervention

Huntink 2013

Risk score not part of the intervention

Ishani 2011

Risk score not part of the intervention

Jacobs 2011

Risk score used in both groups

Jennings 2006

Risk score not part of the intervention

Jones 2009

Not primary prevention

Kaczorowski 2011

Risk score not part of the intervention

Ketola 2001

Not primary prevention

Keyserling 2014

Risk score used in both groups

Kullo 2016

Risk score used in both groups

Laan 2012

Not RCT or quasi‐RCT

Lalonde 2004

Not RCT or quasi‐RCT

Lalonde 2006

Risk score used in both groups

Lauritzen 2008

Risk score not part of the intervention

Liddy 2015

Risk score not part of the intervention

Lindholm 1995

Risk score not part of the intervention

Ma 2009

Risk score not part of the intervention

Mendis 2010

Risk score not part of the intervention

Mills 2010

Risk score not part of the intervention

Mortsiefer 2015

Risk score not part of the intervention

NCT01134458

Not primary prevention

NCT01979471

Not primary prevention

Nebieridze 2011

Risk score used in both groups

Paterson 2002

Not RCT or quasi‐RCT

Pignone 2004

Not RCT or quasi‐RCT

Powers 2011

Not primary prevention

Qureshi 2012

Risk score used in both groups

Reid 1995

Risk score not part of the intervention

Rodriguez‐Salceda 2010

Risk score used in both groups

Selvaraj 2012

Risk score not part of the intervention

Sheridan 2012

Risk score used in both groups

Skinner 2011

Risk score not part of the intervention

Smith 2008

Risk score not part of the intervention

Soureti 2010

Risk score used in both groups

Stewart 2012

Risk score not part of the intervention

Thomsen 2001

Not RCT or quasi‐RCT

Vaidya 2012

Not RCT or quasi‐RCT

Van Breukelen‐van der Stoep 2014

Not RCT or quasi‐RCT

Van den Brekel‐Dijkstra 2016

Not RCT or quasi‐RCT

Van Limpt 2011

Not primary prevention

Waldron 2010

Risk score used in both groups

Weymiller 2007

Not primary prevention

Zamora 2013

Not primary prevention

Zamora 2015

Not primary prevention

Zhu 2013

Not RCT or quasi‐RCT

RCT: randomised controlled trial.

Characteristics of studies awaiting classification [ordered by study ID]

Adamson 2013

Methods

Randomised controlled trial, parallel group (1:1)

Participants

31 participants attending a specialist diabetes clinic appointment at the Oxford Centre for Diabetes.

Mean age: 51 years, 55% women, 100% diabetes mellitus

Interventions

Intervention group: received a facilitated discussion based on 10‐year coronary heart disease and stroke risk estimate generated by the UKPDS Risk engine

Control group: received routine discussion of CVD risk factors

Outcomes

Participant satisfaction, measured by questionnaire and semi‐structured interviews

Notes

Abstract only, full report not published

Gryn 2012

Methods

Randomised controlled trial, parallel group (1:1)

Participants

78 individuals with hypertension aged 30‐84 years

Exclusion criteria: no prior MI, stroke, heart failure, or pregnancy

Mean age 62 years, 55% women, 17% diabetes mellitus

Interventions

Intervention group: received information on their personalised estimated risk of heart disease and stroke and education about the utility of effective blood pressure management in decreasing their risk estimate.

Control group: usual care

Outcomes

Primary outcome: adherence at baseline, 3, 6, and 12 months measured by pill counting and electronic pill bottles

Secondary outcomes: blood pressure, self‐perception of cardiovascular and stroke risk, perceived benefit of treatment

Notes

Published abstract and scientific poster reviewed. Manuscript still in preparation

Roach 2012

Methods

Randomised controlled trial, parallel group (1:1)

Participants

144 type‐2 diabetics from 4 urban primary care clinics

Interventions

Intervention group: randomised to a Spanish‐language, tablet computer‐based CVD risk communication intervention incorporating the individual’s unique 10‐year CVD risk information.

Comparison group: usual care

Outcomes

CVD risk discussion during clinic visit, medication change

Notes

Published abstract reviewed. Manuscript in preparation

CVD: cardiovascular disease; MI: myocardial infarction; UKPDS: United Kingdom Prospective Diabetes Study.

Characteristics of ongoing studies [ordered by study ID]

Badenbroek 2014

Study name

The INTEGRATE study

Methods

Stepped‐wedge randomised controlled trial

Participants

All eligible patients 45‐70 years of age from 40 general practices in the Netherlands with electronic medical records

Interventions

The intervention is the Personalized Prevention Approach for CardioMetabolic Risk (PPA CMR). An online risk estimation tool based on the FINDRISK score is used to screen for participants with increased CVD risk. Participants with a FINDRISK score above risk threshold are offered additional measurements by their GP. In clinic, a GP uses SCORE to assess 10‐year CVD risk and then provides participants with increased risk with tailored lifestyle advice and/or medication.

Control group: wailting list control; do not receive risk score nor lifestyle advice; recieve intervention at 1 year.

Outcomes

Primary outcomes: number of newly detected participants with CVD; change in individual risk factors (smoking, physical inactivity, obesity, unhealthy diet, blood pressure, cholesterol levels); expected new participants with CVD and mortality at 5, 10, 20 years; cost‐effectiveness; non‐participation and compliance

Secondary outcomes: difference in primary outcome at 5 years; willingness to change lifestyle; change in health status

Starting date

1 April 2014

Contact information

Professor N. J. de Wit Julius Health Centre UMC Utrecht Huispost Str. 6.131 PO Box 85500 3508 GA Utrecht Netherlands [email protected]

Notes

www.integrateproject.nl

NTR4277, the Netherlands National Trial Register

Ijkema 2014

Study name

Risk Or Benefit IN Screening for CArdiovascular disease (ROBINSCA) study

Methods

Population‐based randomised screening trial, parallel group (1:1:1)

Participants

39,000 participants at increased risk for CVD

Interventions

Comparison of 3 cardiovascular screening strategies: classic risk screening based on the Systematic COronary Risk Evaluation (SCORE) model; screening for coronary artery calcium using computed tomography; usual care

All groups will receive written general lifestyle advice. Individuals at increased risk for CVD based on classic risk assessment or coronary calcium will be referred to general practitioner for lifestyle advice or medical therapy

Outcomes

Primary outcome: cumulative 5‐year fatal and non‐fatal coronary heart disease

Secondary outcomes: sensitivity of the screening tests, favorable and unfavorable effects of screening, cost‐effectiveness

Starting date

First quarter 2014

Contact information

H.J. de Koning, Department of Public Health, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, The Netherlands

[email protected].

Notes

www.robinsca.nl

Maindal 2014

Study name

The CORE‐trial: a pragmatic randomized controlled trial in primary care investigating effectiveness and cost‐effectiveness of the Check Your Health Preventive Programme offered population‐wide to 30‐49 years

Methods

Pragmatic household‐cluster‐randomised trial

Participants

10,505 participants aged 30‐49 years from 35 practices within central Denmark

Interventions

The intervention consists of a preventive health check that consists of a health examination and individual risk profile (Heart‐SCORE model) during a single office visit. Follow‐up visits are stratified by risk profile to a health promoting consultation, behavioural programme, or no follow‐up

Comparison group: standard prevention and treatment strategy

Outcomes

Primary outcomes: 10‐year risk of fatal CVD, physical activity (self‐report and cardiorespiratory fitness), health‐related quality of life, functional capacity (affiliation to the labour market and sick leave > 3 weeks)

Secondary outcomes: cost‐effectiveness as measured by life‐years gained, direct costs, and total health cost

Starting date

May 2013; anticipated completion April 2017

Contact information

Annelli Sandbæk, PhD Professor, Department of Public Health, University of Aarhus; [email protected]

Helle T Maindal, PhD, Associate Professor, Department of Public Health, University of Aarhus; [email protected]

Notes

ClinicalTrials.gov ID: NCT02028195

NCT00694239

Study name

Risk Assessment and Treat Compliance in Hypertension Education Trial (RATCHET)

Methods

Randomised controlled trial, parallel group (1:1)

Participants

Adults aged 30‐84 years

Inclusion criteria: essential hypertension (new diagnosis or established diagnosis) meeting criteria for pharmacologic therapy as defined by current guidelines.

Exclusion criteria: lack of written informed consent, previous myocardial infarction, previous stroke, congestive heart failure, stage 3 or greater chronic kidney disease, pregnancy, use of medication bubble/blister package

Interventions

Intervention group: knowledge of cardiovascular risk assessment plus standard care

Control group: standard/usual care

Outcomes

Primary outcome: medication compliance

Secondary outcomes: patient perception of cardiovascular risk, pilot feasibility study, blood pressure, cholesterol level, Framingham risk score

Follow‐up: 1 year

Starting date

May 2007

Contact information

George Dresser

University of Western Ontario, Canada

LHSC Victoria Hospital, Rm E6‐302

519.685.8500 ext.33342

[email protected]

Notes

Anticipated completion date March 2011 but no results posted yet

NCT02096887

Study name

Effect of Patient Education on Compliance and Cardiovascular Risk Parameters (FAILAKA)

Methods

Cluster‐randomised controlled trial, parallel group (1:1)

Participants

Adults aged 30‐70 years

Inclusion criteria:

  1. Participants with 1 or more CVD risk factors will be consecutively enrolled, smokers and obese participants should have an additional risk factors

  2. The risk factors are based on Framingham risk score calculator and include smoking, high blood pressure, high blood cholesterol, diabetes mellitus and being overweight or obese

  3. All participants must be adults (30‐70 years of age) who give informed consent

  4. All participants should be of Kuwaity nationality, literate and fluent in either Arabic or English

  5. Participants are likely to be available for a 1 year follow‐up

Exclusion criteria:

  1. People with mental disability or severe psychiatric disorder who are unable to provide informed consent or participate in educational activities

  2. People with severe visual or hearing disability that will prevent participation in the educational activity

  3. People < 30 years or > 70 years of age

  4. Illiterate people

  5. Non‐Kuwaiti nationals

  6. People who are not permanently resident in Kuwait

  7. People who refuse to provide the informed consent

Interventions

Intervention group: participants attending clinics randomised to structured patient education will receive education targeting their risk factors and receive information about evidence‐based targets. Physician in education clinics will also calculate Framingham risk score and provide a booklet entitled, 'Know your numbers'.

Control group: usual care

Outcomes

Primary outcome: cardiovascular risk factor control (HbA1c, blood pressure, LDL‐cholesterol, body mass index, and smoking cessation)

Medication compliance: assessed by Morisky scale

Starting date

June 2014

Contact information

Dr. Samia Almusallam

Director of the Family Medicine residency programme

Kuwait Institute for Medical Specialization

Notes

Anticipated completion date January 2016 but no results posted

Ogedegbe 2014

Study name

Task shifting and blood pressure control in Ghana: a cluster‐randomized trial

Methods

Cluster‐randomised trial, parallel group (1:1) assignment

Participants

640 participants with uncomplicated hypertension (BP 140‐179/90‐99 mmHg and absence of target organ damage) from 32 community health centres and district hospitals in Ghana

Interventions

The intervention consists of WHO Package CV risk assessment, patient education, initiation and titration of antihypertensive medications, behavioural counselling, and assessment of barriers to adherence

Comparison group: usual care

Outcomes

Primary outcome: mean change in systolic blood pressure from baseline to 12 months

Secondary outcomes: proportion of participants with adequate systolic blood pressure control at 12 months; levels of physical activity; percent change in weight; and dietary intake of fruits and vegetables at 12 months

Starting date

May 2013; completion date March 2017

Contact information

Gbenga Ogedegbe, MD, MS, MPH, Center for Healthful Behavior Change, Division of Health & Behavior, Department of Population Health, New York University School of Medicine, 550 1st Avenue, New York, NY 10016

[email protected]

Notes

ClinicalTrials.gov ID: NCT01802372

Praveen 2013

Study name

Systematic Appraisal Referral and Treatment of CVD risk in rural India (SMARTHealth India)

Methods

Stepped wedge cluster‐randomised trial

Participants

15,000 adults age 40 years and older at high cardiovascular disease risk from 18 primary health centres and 54 villages in rural Andhra Pradesh

Interventions

Intervention group: a mobile device‐based clinical decision support system for non‐physician healthcare workers and primary care doctors to assess and manage CVD risk, provide lifestyle advice, and manage risk factors according to Indian national guidelines.

Comparison group: usual care

Outcomes

The primary study outcome is the difference in the proportion of people meeting guideline‐recommended blood pressure targets in the intervention period vs the control period.

Secondary outcomes include mean reduction in blood pressure levels; change in cardiovascular disease risk factors (BMI, smoking, healthy eating habits, physical activity, self‐reported use of BP and other cardiovascular medicines, quality of life), and CVD event rates (hospitalisation data).

Starting date

Fourth quarter of 2013; randomisation planned to continue until first quarter of 2016

Contact information

Devarsetty Praveen, the George Institute for Global Health, Hyderabad, India, [email protected]

Notes

Redfern 2014

Study name

Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) study

Methods

Randomised controlled trial, parallel group (1:1)

Participants

2000 regular adult health service attendees at Australian general practice or Aboriginal Community Controlled Health Services

Interventions

Intervention group: will be able to securely access a consumer portal to view participant data uploaded from the clinic record, use interactive tools to view their personal CVD risk and explore relative risk reductions from various CVD management strategies, access healthy lifestyle reminders and motivational message prompts, and connect with peers to set healthy lifestyle goals.

Comparison group: usual care

Outcomes

Primary outcome: proportion of participants meeting the Australian guideline BP and lipid targets.
Secondary outcomes: proportion meeting guideline‐recommended BP and LDL‐cholesterol targets separately, difference in mean systolic and diastolic blood pressure, difference in mean cholesterol levels, difference in mean BMI, difference in health literacy scores, difference in cardiovascular and renal events, physical activity levels, smoking, fruits/vegetable intake, adherence to cardioprotective medications, health‐related quality of life

Starting date

October 2014; still recruiting

Contact information

Professor Julie Redfern, the George Institute for Global Health, Level 10, King George V Building, Missenden Road, Camperdown NSW 2050, Australia

[email protected]

Notes

Australian New Zealand Clinical Trials Registry number: ACTRN12613000715774

Sanghavi 2015

Study name

Million hearts: cardiovascular disease risk reduction model

Methods

Cluster‐randomised trial (1:1) parallel group

Participants

720 general medical practices, Medicare fee‐for‐service beneficiaries aged 18‐79 years of age without history of myocardial infarction or stroke

Interventions

Intervention group: practices will be asked to screen all eligible Medicare beneficiaries for their 10‐year risk of a heart attack or stroke using the American College of Cardiology/American Heart Association (ACC/AHA) 10‐year Atherosclerotic Cardiovascular Disease (ASCVD) pooled cohort risk calculator. For participants at the highest risk (10‐year ASCVD risk > 30%), providers will receive a monthly per beneficiary Cardiovascular Care Management payment to reduce their practice‐wide absolute risk
Control group: practices will be asked to report only clinical data (such as age, cholesterol level, and other information) on their attributed Medicare Beneficiaries at years 1, 2, 3, and 5 of the model. Control group practices will be paid a USD 20 per‐beneficiary payment (based on the estimated costs of preparing and transmitting the required data) for each reporting cycle.

Outcomes

Population‐wide reduction in 10‐year composite risk and population‐wide reduction in composite incidence of myocardial infarction and stroke. Trial is powered for latter outcome based on Medicare fee‐for‐service claims data.

Starting date

January 2016 reported. Trial has not started yet.

Contact information

Darshak M Sanghavi, MD, Centers for Medicare and Medicaid Services, Prevention and Population Health Models Group, 7500 Security Blvd, Baltimore, MD 21244

[email protected]

Notes

Trial conducted by Center for Medicare and Medicaid Innovation

Silarova 2015

Study name

Information and Risk Modification Trial (INFORM)

Methods

Randomised controlled trial, parallel group (1:1:1:1)

Participants

932 men and women blood donors with no previous history of CVD aged 40‐94 years in England.

Interventions

4 groups:

  • Group 1: lifestyle advice only

  • Group 2: lifestyle advice + 10‐year CHD risk based on phenotypic characteristics

  • Group 3: lifestyle advice + 10‐year CHD risk based on phenotypic and genetic characteristics

  • Group 4: no intervention/usual care

Outcomes

Primary outcome: change in objectively measured physical activity

Secondary outcomes: objectively measured dietary behaviours, CVD risk factors, medication and healthcare usage, perceived risk, cognitive evaluation of provision of CHD risk scores, psychological outcomes

Starting date

January 2015

Contact information

Professor Simon Griffin, Cambridge Institute of Public Health, University of Cambridge School of Clinical Medicine

Forvie Site, Cambridge Biomedical Campus, Cambridge CB2 0SR, United Kingdom

[email protected]

Notes

Participants who took part in the INTERVAL study (www.intervalstudy.org.uk, ISRCTN24760606) and completed their 2‐year questionnaire participate in the INFORM study.

CVD: cardiovascular disease.

Data and analyses

Open in table viewer
Comparison 1. CVD risk score versus no CVD risk score/usual care

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 CVD events Show forest plot

3

99070

Risk Ratio (IV, Fixed, 95% CI)

1.01 [0.95, 1.08]

Analysis 1.1

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 1: CVD events

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 1: CVD events

1.2 CVD events, excluding Bucher 2010 Show forest plot

2

95708

Risk Ratio (IV, Fixed, 95% CI)

1.01 [0.94, 1.08]

Analysis 1.2

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 2: CVD events, excluding Bucher 2010

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 2: CVD events, excluding Bucher 2010

1.3 Total cholesterol Show forest plot

12

20437

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.20, 0.00]

Analysis 1.3

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 3: Total cholesterol

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 3: Total cholesterol

1.4 Low‐density lipoprotein cholesterol Show forest plot

10

22122

Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.10, 0.04]

Analysis 1.4

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 4: Low‐density lipoprotein cholesterol

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 4: Low‐density lipoprotein cholesterol

1.5 Systolic blood pressure Show forest plot

16

32954

Mean Difference (IV, Random, 95% CI)

‐2.77 [‐4.16, ‐1.38]

Analysis 1.5

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 5: Systolic blood pressure

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 5: Systolic blood pressure

1.6 Diastolic blood pressure Show forest plot

14

22378

Mean Difference (IV, Random, 95% CI)

‐1.12 [‐2.11, ‐0.13]

Analysis 1.6

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 6: Diastolic blood pressure

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 6: Diastolic blood pressure

1.7 Change in multivariable CVD risk Show forest plot

9

9549

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.39, ‐0.02]

Analysis 1.7

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 7: Change in multivariable CVD risk

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 7: Change in multivariable CVD risk

1.8 Adverse events (investigator defined) Show forest plot

4

4630

Risk Ratio (IV, Fixed, 95% CI)

0.72 [0.49, 1.04]

Analysis 1.8

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 8: Adverse events (investigator defined)

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 8: Adverse events (investigator defined)

1.9 Anxiety Show forest plot

2

388

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.07 [‐0.27, 0.13]

Analysis 1.9

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 9: Anxiety

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 9: Anxiety

1.10 New/intensified lipid‐lowering medication Show forest plot

11

14175

Risk Ratio (IV, Random, 95% CI)

1.47 [1.15, 1.87]

Analysis 1.10

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 10: New/intensified lipid‐lowering medication

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 10: New/intensified lipid‐lowering medication

1.11 New/intensified antihypertensive medication Show forest plot

8

13255

Risk Ratio (IV, Random, 95% CI)

1.51 [1.08, 2.11]

Analysis 1.11

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 11: New/intensified antihypertensive medication

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 11: New/intensified antihypertensive medication

1.12 New aspirin Show forest plot

3

1614

Risk Ratio (IV, Fixed, 95% CI)

2.71 [1.24, 5.91]

Analysis 1.12

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 12: New aspirin

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 12: New aspirin

1.13 Medication adherence Show forest plot

4

621

Risk Ratio (IV, Random, 95% CI)

1.14 [0.92, 1.40]

Analysis 1.13

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 13: Medication adherence

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 13: Medication adherence

1.14 Smoking cessation Show forest plot

7

5346

Risk Ratio (IV, Fixed, 95% CI)

1.38 [1.13, 1.69]

Analysis 1.14

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 14: Smoking cessation

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 14: Smoking cessation

1.15 Exercise Show forest plot

2

2595

Risk Ratio (IV, Fixed, 95% CI)

0.98 [0.90, 1.06]

Analysis 1.15

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 15: Exercise

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 15: Exercise

1.16 Decisional conflict Show forest plot

4

1261

Std. Mean Difference (IV, Random, 95% CI)

‐0.29 [‐0.57, ‐0.01]

Analysis 1.16

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 16: Decisional conflict

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 16: Decisional conflict

Open in table viewer
Comparison 2. CVD risk score versus no CVD risk score/usual care by decision support use

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

2.1 Total cholesterol by decision support use Show forest plot

12

20437

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.20, 0.00]

Analysis 2.1

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 1: Total cholesterol by decision support use

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 1: Total cholesterol by decision support use

2.1.1 Decision support use

8

9444

Mean Difference (IV, Random, 95% CI)

‐0.09 [‐0.20, 0.01]

2.1.2 No decision support use

4

10993

Mean Difference (IV, Random, 95% CI)

‐0.11 [‐0.27, 0.06]

2.2 Low‐density lipoprotein cholesterol by decision support Show forest plot

10

22122

Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.10, 0.04]

Analysis 2.2

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 2: Low‐density lipoprotein cholesterol by decision support

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 2: Low‐density lipoprotein cholesterol by decision support

2.2.1 Decision support use

9

21739

Mean Difference (IV, Random, 95% CI)

‐0.02 [‐0.10, 0.06]

2.2.2 No decision support use

1

383

Mean Difference (IV, Random, 95% CI)

‐0.11 [‐0.25, 0.03]

2.3 Systolic blood pressure by decision support use Show forest plot

16

32954

Mean Difference (IV, Random, 95% CI)

‐2.77 [‐4.16, ‐1.38]

Analysis 2.3

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 3: Systolic blood pressure by decision support use

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 3: Systolic blood pressure by decision support use

2.3.1 Decision support use

13

22457

Mean Difference (IV, Random, 95% CI)

‐2.17 [‐3.52, ‐0.82]

2.3.2 No decision support use

3

10497

Mean Difference (IV, Random, 95% CI)

‐4.57 [‐6.89, ‐2.25]

2.4 Diastolic blood pressure by decision support use Show forest plot

14

22378

Mean Difference (IV, Random, 95% CI)

‐1.12 [‐2.11, ‐0.13]

Analysis 2.4

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 4: Diastolic blood pressure by decision support use

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 4: Diastolic blood pressure by decision support use

2.4.1 Decision support use

10

11385

Mean Difference (IV, Random, 95% CI)

‐0.76 [‐1.29, ‐0.23]

2.4.2 No decision support use

4

10993

Mean Difference (IV, Random, 95% CI)

‐2.09 [‐3.33, ‐0.85]

2.5 Change in multivariable CVD risk by decision support Show forest plot

9

9549

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.39, ‐0.02]

Analysis 2.5

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 5: Change in multivariable CVD risk by decision support

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 5: Change in multivariable CVD risk by decision support

2.5.1 Decision support use

7

6209

Std. Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.27, ‐0.07]

2.5.2 No decision support use

2

3340

Std. Mean Difference (IV, Random, 95% CI)

‐0.26 [‐0.98, 0.46]

Open in table viewer
Comparison 3. CVD risk score versus no CVD risk score/usual care by health IT use

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

3.1 Total cholesterol by health IT use Show forest plot

12

20437

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.20, 0.00]

Analysis 3.1

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 1: Total cholesterol by health IT use

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 1: Total cholesterol by health IT use

3.1.1 Health IT use

8

9444

Mean Difference (IV, Random, 95% CI)

‐0.09 [‐0.20, 0.01]

3.1.2 No health IT use

4

10993

Mean Difference (IV, Random, 95% CI)

‐0.11 [‐0.27, 0.06]

3.2 Low‐density lipoprotein cholesterol by health IT use Show forest plot

10

22122

Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.10, 0.04]

Analysis 3.2

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 2: Low‐density lipoprotein cholesterol by health IT use

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 2: Low‐density lipoprotein cholesterol by health IT use

3.2.1 Health IT use

9

21739

Mean Difference (IV, Random, 95% CI)

‐0.02 [‐0.10, 0.06]

3.2.2 No health IT use

1

383

Mean Difference (IV, Random, 95% CI)

‐0.11 [‐0.25, 0.03]

3.3 Systolic blood pressure by health IT use Show forest plot

16

32954

Mean Difference (IV, Random, 95% CI)

‐2.77 [‐4.16, ‐1.38]

Analysis 3.3

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 3: Systolic blood pressure by health IT use

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 3: Systolic blood pressure by health IT use

3.3.1 Health IT use

13

22457

Mean Difference (IV, Random, 95% CI)

‐2.17 [‐3.52, ‐0.82]

3.3.2 No health IT use

3

10497

Mean Difference (IV, Random, 95% CI)

‐4.57 [‐6.89, ‐2.25]

3.4 Diastolic blood pressure by health IT use Show forest plot

14

22378

Mean Difference (IV, Random, 95% CI)

‐1.12 [‐2.11, ‐0.13]

Analysis 3.4

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 4: Diastolic blood pressure by health IT use

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 4: Diastolic blood pressure by health IT use

3.4.1 Health IT use

10

11385

Mean Difference (IV, Random, 95% CI)

‐0.76 [‐1.29, ‐0.23]

3.4.2 No health IT use

4

10993

Mean Difference (IV, Random, 95% CI)

‐2.09 [‐3.33, ‐0.85]

3.5 Change in multivariable CVD risk by health IT use Show forest plot

9

9549

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.39, ‐0.02]

Analysis 3.5

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 5: Change in multivariable CVD risk by health IT use

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 5: Change in multivariable CVD risk by health IT use

3.5.1 Health IT use

6

5387

Std. Mean Difference (IV, Random, 95% CI)

‐0.19 [‐0.26, ‐0.12]

3.5.2 No health IT use

3

4162

Std. Mean Difference (IV, Random, 95% CI)

‐0.15 [‐0.69, 0.39]

Open in table viewer
Comparison 4. CVD risk score versus no CVD risk score/usual care by risk status of participants

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

4.1 Total cholesterol by risk status Show forest plot

12

20437

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.20, 0.00]

Analysis 4.1

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 1: Total cholesterol by risk status

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 1: Total cholesterol by risk status

4.1.1 High‐risk participants only

3

4105

Mean Difference (IV, Random, 95% CI)

‐0.13 [‐0.22, ‐0.03]

4.1.2 Participants of all risk levels

9

16332

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.23, 0.03]

4.2 Low‐density lipoprotein cholesterol by risk status Show forest plot

10

22122

Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.10, 0.04]

Analysis 4.2

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 2: Low‐density lipoprotein cholesterol by risk status

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 2: Low‐density lipoprotein cholesterol by risk status

4.2.1 High‐risk participants only

3

14219

Mean Difference (IV, Random, 95% CI)

‐0.07 [‐0.11, ‐0.03]

4.2.2 Participants of all risk levels

7

7903

Mean Difference (IV, Random, 95% CI)

‐0.01 [‐0.11, 0.09]

4.3 Systolic blood pressure by risk status Show forest plot

16

32954

Mean Difference (IV, Random, 95% CI)

‐2.77 [‐4.16, ‐1.38]

Analysis 4.3

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 3: Systolic blood pressure by risk status

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 3: Systolic blood pressure by risk status

4.3.1 High‐risk participants only

5

18375

Mean Difference (IV, Random, 95% CI)

‐2.22 [‐4.04, ‐0.40]

4.3.2 Participants of all risk levels

11

14579

Mean Difference (IV, Random, 95% CI)

‐2.96 [‐4.68, ‐1.24]

4.4 Diastolic blood pressure by risk status Show forest plot

14

22378

Mean Difference (IV, Random, 95% CI)

‐1.12 [‐2.11, ‐0.13]

Analysis 4.4

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 4: Diastolic blood pressure by risk status

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 4: Diastolic blood pressure by risk status

4.4.1 High‐risk participants only

3

4091

Mean Difference (IV, Random, 95% CI)

‐0.90 [‐2.42, 0.63]

4.4.2 Participants of all risk levels

11

18287

Mean Difference (IV, Random, 95% CI)

‐1.20 [‐2.26, ‐0.14]

4.5 Change in multivariable CVD risk by risk status Show forest plot

9

9549

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.39, ‐0.02]

Analysis 4.5

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 5: Change in multivariable CVD risk by risk status

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 5: Change in multivariable CVD risk by risk status

4.5.1 High‐risk participants only

2

4038

Std. Mean Difference (IV, Random, 95% CI)

‐0.15 [‐0.21, ‐0.09]

4.5.2 Participants of all risk levels

7

5511

Std. Mean Difference (IV, Random, 95% CI)

‐0.22 [‐0.49, 0.05]

Open in table viewer
Comparison 5. Multivariable CVD risk

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

5.1 Multivariable CVD risk Show forest plot

5

1921

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.15 [‐0.25, ‐0.06]

Analysis 5.1

Comparison 5: Multivariable CVD risk, Outcome 1: Multivariable CVD risk

Comparison 5: Multivariable CVD risk, Outcome 1: Multivariable CVD risk

Study flow diagram.

Figuras y tablas -
Figure 1

Study flow diagram.

Summary of CVD risk score interventions by included study.
Abbreviations: CHD: coronary heart disease; CVD: cardiovascular disease; FRS: Framingham risk score; MI: myocardial infarction; RF: risk factors, RR: risk ratio; UKPDS: United Kingdom Prospective Diabetes Study

Figuras y tablas -
Figure 2

Summary of CVD risk score interventions by included study.
Abbreviations: CHD: coronary heart disease; CVD: cardiovascular disease; FRS: Framingham risk score; MI: myocardial infarction; RF: risk factors, RR: risk ratio; UKPDS: United Kingdom Prospective Diabetes Study

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Figuras y tablas -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Figuras y tablas -
Figure 4

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Funnel plot of comparison: 1 CVD risk score versus no CVD risk score/usual care, outcome: 1.3 Total cholesterol (mmol/L).

Figuras y tablas -
Figure 5

Funnel plot of comparison: 1 CVD risk score versus no CVD risk score/usual care, outcome: 1.3 Total cholesterol (mmol/L).

Funnel plot of comparison: 1 CVD risk score versus no CVD risk score/usual care, outcome: 1.5 Systolic blood pressure (mmHg).

Figuras y tablas -
Figure 6

Funnel plot of comparison: 1 CVD risk score versus no CVD risk score/usual care, outcome: 1.5 Systolic blood pressure (mmHg).

Funnel plot of comparison: 1 CVD risk score versus no CVD risk score/usual care, outcome: 1.7 Change in multivariable CVD risk.

Figuras y tablas -
Figure 7

Funnel plot of comparison: 1 CVD risk score versus no CVD risk score/usual care, outcome: 1.7 Change in multivariable CVD risk.

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 1: CVD events

Figuras y tablas -
Analysis 1.1

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 1: CVD events

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 2: CVD events, excluding Bucher 2010

Figuras y tablas -
Analysis 1.2

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 2: CVD events, excluding Bucher 2010

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 3: Total cholesterol

Figuras y tablas -
Analysis 1.3

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 3: Total cholesterol

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 4: Low‐density lipoprotein cholesterol

Figuras y tablas -
Analysis 1.4

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 4: Low‐density lipoprotein cholesterol

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 5: Systolic blood pressure

Figuras y tablas -
Analysis 1.5

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 5: Systolic blood pressure

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 6: Diastolic blood pressure

Figuras y tablas -
Analysis 1.6

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 6: Diastolic blood pressure

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 7: Change in multivariable CVD risk

Figuras y tablas -
Analysis 1.7

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 7: Change in multivariable CVD risk

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 8: Adverse events (investigator defined)

Figuras y tablas -
Analysis 1.8

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 8: Adverse events (investigator defined)

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 9: Anxiety

Figuras y tablas -
Analysis 1.9

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 9: Anxiety

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 10: New/intensified lipid‐lowering medication

Figuras y tablas -
Analysis 1.10

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 10: New/intensified lipid‐lowering medication

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 11: New/intensified antihypertensive medication

Figuras y tablas -
Analysis 1.11

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 11: New/intensified antihypertensive medication

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 12: New aspirin

Figuras y tablas -
Analysis 1.12

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 12: New aspirin

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 13: Medication adherence

Figuras y tablas -
Analysis 1.13

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 13: Medication adherence

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 14: Smoking cessation

Figuras y tablas -
Analysis 1.14

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 14: Smoking cessation

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 15: Exercise

Figuras y tablas -
Analysis 1.15

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 15: Exercise

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 16: Decisional conflict

Figuras y tablas -
Analysis 1.16

Comparison 1: CVD risk score versus no CVD risk score/usual care, Outcome 16: Decisional conflict

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 1: Total cholesterol by decision support use

Figuras y tablas -
Analysis 2.1

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 1: Total cholesterol by decision support use

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 2: Low‐density lipoprotein cholesterol by decision support

Figuras y tablas -
Analysis 2.2

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 2: Low‐density lipoprotein cholesterol by decision support

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 3: Systolic blood pressure by decision support use

Figuras y tablas -
Analysis 2.3

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 3: Systolic blood pressure by decision support use

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 4: Diastolic blood pressure by decision support use

Figuras y tablas -
Analysis 2.4

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 4: Diastolic blood pressure by decision support use

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 5: Change in multivariable CVD risk by decision support

Figuras y tablas -
Analysis 2.5

Comparison 2: CVD risk score versus no CVD risk score/usual care by decision support use, Outcome 5: Change in multivariable CVD risk by decision support

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 1: Total cholesterol by health IT use

Figuras y tablas -
Analysis 3.1

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 1: Total cholesterol by health IT use

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 2: Low‐density lipoprotein cholesterol by health IT use

Figuras y tablas -
Analysis 3.2

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 2: Low‐density lipoprotein cholesterol by health IT use

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 3: Systolic blood pressure by health IT use

Figuras y tablas -
Analysis 3.3

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 3: Systolic blood pressure by health IT use

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 4: Diastolic blood pressure by health IT use

Figuras y tablas -
Analysis 3.4

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 4: Diastolic blood pressure by health IT use

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 5: Change in multivariable CVD risk by health IT use

Figuras y tablas -
Analysis 3.5

Comparison 3: CVD risk score versus no CVD risk score/usual care by health IT use, Outcome 5: Change in multivariable CVD risk by health IT use

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 1: Total cholesterol by risk status

Figuras y tablas -
Analysis 4.1

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 1: Total cholesterol by risk status

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 2: Low‐density lipoprotein cholesterol by risk status

Figuras y tablas -
Analysis 4.2

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 2: Low‐density lipoprotein cholesterol by risk status

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 3: Systolic blood pressure by risk status

Figuras y tablas -
Analysis 4.3

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 3: Systolic blood pressure by risk status

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 4: Diastolic blood pressure by risk status

Figuras y tablas -
Analysis 4.4

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 4: Diastolic blood pressure by risk status

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 5: Change in multivariable CVD risk by risk status

Figuras y tablas -
Analysis 4.5

Comparison 4: CVD risk score versus no CVD risk score/usual care by risk status of participants, Outcome 5: Change in multivariable CVD risk by risk status

Comparison 5: Multivariable CVD risk, Outcome 1: Multivariable CVD risk

Figuras y tablas -
Analysis 5.1

Comparison 5: Multivariable CVD risk, Outcome 1: Multivariable CVD risk

Summary of findings 1. CVD risk scoring for the primary prevention of cardiovascular disease

CVD risk scoring for the primary prevention of cardiovascular disease

Patient or population: adults without prevalent cardiovascular disease (primary cardiovascular disease prevention)
Setting: outpatient
Intervention: providing CVD risk scores
Comparison: not providing CVD risk scores/usual care

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

N of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with not providing CVD risk scores/usual care

Risk with providing CVD risk scores

CVD events
follow‐up: range 1‐10 years

Study population

RR 1.01
(0.95 to 1.08)

99,070
(3 RCTs)

⊕⊕⊝⊝
Lowa,b

53 per 1000

54 per 1000
(51 to 58)

Total cholesterol (mmol/L)
follow‐up: median 1 years

In the comparison group, the range of mean total cholesterol level was 5.1 to 6.6 mmol/L and the range of mean change from baseline in total cholesterol level was 0.09 lower to 0.14 mmol/L higher

The mean difference in total cholesterol in the intervention group was 0.10 mmol/L lower
(0.20 lower to 0.00)

20,437
(12 RCTs)

⊕⊕⊝⊝
Lowc,d

Systolic blood pressure (mmHg)
follow‐up: median 1 years

In the comparison group, the range of mean systolic blood pressure level was 124.1 to 159.0 mmHg and the range of mean change from baseline in systolic blood pressure level was 5.3 lower to 1.0 higher mmHg

The mean difference in systolic blood pressure in the intervention group was 2.77 mmHg lower
(4.16 lower to 1.38 lower)

32,954
(16 RCTs)

⊕⊕⊝⊝
Lowc,d

Change in multivariable CVD risk (SD)
follow‐up: median 1 years

In the comparison group, the range of mean change from baseline in multivariable CVD risk was 5.3 lower to 0.77 higher SDs

The mean difference in multivariable CVD risk in the intervention group was 0.21 SDs lower
(0.39 lower to 0.02 lower)

9549
(9 RCTs)

⊕⊕⊝⊝
Lowc,d

Standardised mean differences were calculated for this outcome due to the use of different multivariable CVD risk scales. An effect size of ~0.20 SD units reflects a small effect.

Investigator‐defined adverse events
follow‐up: range 1 month to 1 year

Study population

RR 0.72
(0.49 to 1.04)

4630
(4 RCTs)

⊕⊕⊝⊝
Lowe,f

Adverse events were defined heterogeneously by investigators and included some events that may have been due to newly prescribed medications rather than the provision of a CVD risk score itself.

27 per 1000

19 per 1000
(13 to 28)

New/intensified lipid‐lowering medication
follow‐up: median 6 months

Study population

RR 1.47
(1.15 to 1.87)

14,175
(11 RCTs)

⊕⊕⊝⊝
Lowd,e

Prescribing rates in the comparison group varied among the included trials (range 4% to 22%). Median prescribing rate presented

107 per 1000

157 per 1000
(123 to 200)

New/intensified antihypertensive medication
follow‐up: median 1 years

Study population

RR 1.51
(1.08 to 2.11)

13,255
(8 RCTs)

⊕⊕⊝⊝
Lowd,e

Prescribing rates in the comparison group varied among the included trials (range 0% to 27%). Median prescribing rate presented

114 per 1000

172 per 1000
(123 to 240)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; RCT: randomised controlled trial; RR: risk ratio; SD: standard deviation.

GRADE Working Group grades of evidence
High quality: we are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect

aDowngraded due to study limitations, primarily driven by high risk of selection bias in Holt 2010 and high risk of reporting bias in Bucher 2010 and Jorgensen 2014.
bDowngraded due to imprecision; trials reported being underpowered for CVD events.
cDowngraded due to study limitations, primarily in the domains of attrition bias (missing data for follow‐up risk factor levels) and other sources of bias (poor intervention fidelity, potential conflicts of interest).
dDowngraded due to heterogeneity in pooled estimates.
eDowngraded due to study limitations, primarily in the domains of attrition bias (missing data for medication prescribing in follow‐up) and other sources of bias (poor intervention fidelity, potential conflicts of interest).
fDowngraded due to imprecision, because confidence interval includes 1 and sample size does not meet threshold for optimal information size.

Figuras y tablas -
Summary of findings 1. CVD risk scoring for the primary prevention of cardiovascular disease
Comparison 1. CVD risk score versus no CVD risk score/usual care

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 CVD events Show forest plot

3

99070

Risk Ratio (IV, Fixed, 95% CI)

1.01 [0.95, 1.08]

1.2 CVD events, excluding Bucher 2010 Show forest plot

2

95708

Risk Ratio (IV, Fixed, 95% CI)

1.01 [0.94, 1.08]

1.3 Total cholesterol Show forest plot

12

20437

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.20, 0.00]

1.4 Low‐density lipoprotein cholesterol Show forest plot

10

22122

Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.10, 0.04]

1.5 Systolic blood pressure Show forest plot

16

32954

Mean Difference (IV, Random, 95% CI)

‐2.77 [‐4.16, ‐1.38]

1.6 Diastolic blood pressure Show forest plot

14

22378

Mean Difference (IV, Random, 95% CI)

‐1.12 [‐2.11, ‐0.13]

1.7 Change in multivariable CVD risk Show forest plot

9

9549

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.39, ‐0.02]

1.8 Adverse events (investigator defined) Show forest plot

4

4630

Risk Ratio (IV, Fixed, 95% CI)

0.72 [0.49, 1.04]

1.9 Anxiety Show forest plot

2

388

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.07 [‐0.27, 0.13]

1.10 New/intensified lipid‐lowering medication Show forest plot

11

14175

Risk Ratio (IV, Random, 95% CI)

1.47 [1.15, 1.87]

1.11 New/intensified antihypertensive medication Show forest plot

8

13255

Risk Ratio (IV, Random, 95% CI)

1.51 [1.08, 2.11]

1.12 New aspirin Show forest plot

3

1614

Risk Ratio (IV, Fixed, 95% CI)

2.71 [1.24, 5.91]

1.13 Medication adherence Show forest plot

4

621

Risk Ratio (IV, Random, 95% CI)

1.14 [0.92, 1.40]

1.14 Smoking cessation Show forest plot

7

5346

Risk Ratio (IV, Fixed, 95% CI)

1.38 [1.13, 1.69]

1.15 Exercise Show forest plot

2

2595

Risk Ratio (IV, Fixed, 95% CI)

0.98 [0.90, 1.06]

1.16 Decisional conflict Show forest plot

4

1261

Std. Mean Difference (IV, Random, 95% CI)

‐0.29 [‐0.57, ‐0.01]

Figuras y tablas -
Comparison 1. CVD risk score versus no CVD risk score/usual care
Comparison 2. CVD risk score versus no CVD risk score/usual care by decision support use

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

2.1 Total cholesterol by decision support use Show forest plot

12

20437

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.20, 0.00]

2.1.1 Decision support use

8

9444

Mean Difference (IV, Random, 95% CI)

‐0.09 [‐0.20, 0.01]

2.1.2 No decision support use

4

10993

Mean Difference (IV, Random, 95% CI)

‐0.11 [‐0.27, 0.06]

2.2 Low‐density lipoprotein cholesterol by decision support Show forest plot

10

22122

Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.10, 0.04]

2.2.1 Decision support use

9

21739

Mean Difference (IV, Random, 95% CI)

‐0.02 [‐0.10, 0.06]

2.2.2 No decision support use

1

383

Mean Difference (IV, Random, 95% CI)

‐0.11 [‐0.25, 0.03]

2.3 Systolic blood pressure by decision support use Show forest plot

16

32954

Mean Difference (IV, Random, 95% CI)

‐2.77 [‐4.16, ‐1.38]

2.3.1 Decision support use

13

22457

Mean Difference (IV, Random, 95% CI)

‐2.17 [‐3.52, ‐0.82]

2.3.2 No decision support use

3

10497

Mean Difference (IV, Random, 95% CI)

‐4.57 [‐6.89, ‐2.25]

2.4 Diastolic blood pressure by decision support use Show forest plot

14

22378

Mean Difference (IV, Random, 95% CI)

‐1.12 [‐2.11, ‐0.13]

2.4.1 Decision support use

10

11385

Mean Difference (IV, Random, 95% CI)

‐0.76 [‐1.29, ‐0.23]

2.4.2 No decision support use

4

10993

Mean Difference (IV, Random, 95% CI)

‐2.09 [‐3.33, ‐0.85]

2.5 Change in multivariable CVD risk by decision support Show forest plot

9

9549

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.39, ‐0.02]

2.5.1 Decision support use

7

6209

Std. Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.27, ‐0.07]

2.5.2 No decision support use

2

3340

Std. Mean Difference (IV, Random, 95% CI)

‐0.26 [‐0.98, 0.46]

Figuras y tablas -
Comparison 2. CVD risk score versus no CVD risk score/usual care by decision support use
Comparison 3. CVD risk score versus no CVD risk score/usual care by health IT use

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

3.1 Total cholesterol by health IT use Show forest plot

12

20437

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.20, 0.00]

3.1.1 Health IT use

8

9444

Mean Difference (IV, Random, 95% CI)

‐0.09 [‐0.20, 0.01]

3.1.2 No health IT use

4

10993

Mean Difference (IV, Random, 95% CI)

‐0.11 [‐0.27, 0.06]

3.2 Low‐density lipoprotein cholesterol by health IT use Show forest plot

10

22122

Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.10, 0.04]

3.2.1 Health IT use

9

21739

Mean Difference (IV, Random, 95% CI)

‐0.02 [‐0.10, 0.06]

3.2.2 No health IT use

1

383

Mean Difference (IV, Random, 95% CI)

‐0.11 [‐0.25, 0.03]

3.3 Systolic blood pressure by health IT use Show forest plot

16

32954

Mean Difference (IV, Random, 95% CI)

‐2.77 [‐4.16, ‐1.38]

3.3.1 Health IT use

13

22457

Mean Difference (IV, Random, 95% CI)

‐2.17 [‐3.52, ‐0.82]

3.3.2 No health IT use

3

10497

Mean Difference (IV, Random, 95% CI)

‐4.57 [‐6.89, ‐2.25]

3.4 Diastolic blood pressure by health IT use Show forest plot

14

22378

Mean Difference (IV, Random, 95% CI)

‐1.12 [‐2.11, ‐0.13]

3.4.1 Health IT use

10

11385

Mean Difference (IV, Random, 95% CI)

‐0.76 [‐1.29, ‐0.23]

3.4.2 No health IT use

4

10993

Mean Difference (IV, Random, 95% CI)

‐2.09 [‐3.33, ‐0.85]

3.5 Change in multivariable CVD risk by health IT use Show forest plot

9

9549

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.39, ‐0.02]

3.5.1 Health IT use

6

5387

Std. Mean Difference (IV, Random, 95% CI)

‐0.19 [‐0.26, ‐0.12]

3.5.2 No health IT use

3

4162

Std. Mean Difference (IV, Random, 95% CI)

‐0.15 [‐0.69, 0.39]

Figuras y tablas -
Comparison 3. CVD risk score versus no CVD risk score/usual care by health IT use
Comparison 4. CVD risk score versus no CVD risk score/usual care by risk status of participants

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

4.1 Total cholesterol by risk status Show forest plot

12

20437

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.20, 0.00]

4.1.1 High‐risk participants only

3

4105

Mean Difference (IV, Random, 95% CI)

‐0.13 [‐0.22, ‐0.03]

4.1.2 Participants of all risk levels

9

16332

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.23, 0.03]

4.2 Low‐density lipoprotein cholesterol by risk status Show forest plot

10

22122

Mean Difference (IV, Random, 95% CI)

‐0.03 [‐0.10, 0.04]

4.2.1 High‐risk participants only

3

14219

Mean Difference (IV, Random, 95% CI)

‐0.07 [‐0.11, ‐0.03]

4.2.2 Participants of all risk levels

7

7903

Mean Difference (IV, Random, 95% CI)

‐0.01 [‐0.11, 0.09]

4.3 Systolic blood pressure by risk status Show forest plot

16

32954

Mean Difference (IV, Random, 95% CI)

‐2.77 [‐4.16, ‐1.38]

4.3.1 High‐risk participants only

5

18375

Mean Difference (IV, Random, 95% CI)

‐2.22 [‐4.04, ‐0.40]

4.3.2 Participants of all risk levels

11

14579

Mean Difference (IV, Random, 95% CI)

‐2.96 [‐4.68, ‐1.24]

4.4 Diastolic blood pressure by risk status Show forest plot

14

22378

Mean Difference (IV, Random, 95% CI)

‐1.12 [‐2.11, ‐0.13]

4.4.1 High‐risk participants only

3

4091

Mean Difference (IV, Random, 95% CI)

‐0.90 [‐2.42, 0.63]

4.4.2 Participants of all risk levels

11

18287

Mean Difference (IV, Random, 95% CI)

‐1.20 [‐2.26, ‐0.14]

4.5 Change in multivariable CVD risk by risk status Show forest plot

9

9549

Std. Mean Difference (IV, Random, 95% CI)

‐0.21 [‐0.39, ‐0.02]

4.5.1 High‐risk participants only

2

4038

Std. Mean Difference (IV, Random, 95% CI)

‐0.15 [‐0.21, ‐0.09]

4.5.2 Participants of all risk levels

7

5511

Std. Mean Difference (IV, Random, 95% CI)

‐0.22 [‐0.49, 0.05]

Figuras y tablas -
Comparison 4. CVD risk score versus no CVD risk score/usual care by risk status of participants
Comparison 5. Multivariable CVD risk

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

5.1 Multivariable CVD risk Show forest plot

5

1921

Std. Mean Difference (IV, Fixed, 95% CI)

‐0.15 [‐0.25, ‐0.06]

Figuras y tablas -
Comparison 5. Multivariable CVD risk