Scolaris Content Display Scolaris Content Display

بررسی نقش یادآورهای کامپیوتری عرضه شده بر کاغذ برای متخصصان مراقبت سلامت: تاثیرات بر عملکرد حرفه‌ای و پیامدهای مراقبت سلامت

Contraer todo Desplegar todo

Referencias

Barnett 1983 {published data only}

Barnett GO, Winickoff RN, Morgan MM, Zielstorff RD. A computer‐based monitoring system for follow‐up of elevated blood pressure. Medical Care 1983;21(4):400‐9. CENTRAL

Becker 1989 {published data only}

Becker DM, Gomez EB, Kaiser DL, Yoshihasi A, Hodge RH. Improving preventive care at a medical clinic: how can the patient help?. American Journal of Preventive Medicine 1989;5(6):353‐9. CENTRAL

Binstock 1997 {published data only}

Binstock MA, Geiger AM, Hackett JR, Yao JF. Pap smear outreach: a randomized controlled trial in an HMO. American Journal of Preventive Medicine 1997;13(6):425‐6. CENTRAL

Burack 1996 {published data only}

Burack RC, Gimotty PA, George J, Simon MS, Dews P, Moncrease A. The effect of patient and physician reminders on use of screening mammography in a health maintenance organization. Results of a randomized controlled trial. Cancer 1996;78(8):1708‐21. CENTRAL

Burack 1998 {published data only}

Burack RC, Gimotty PA, George J, McBride S, Moncrease A, Simon MS, et al. How reminders given to patients and physicians affected pap smear use in a health maintenance organization: results of a randomized controlled trial. Cancer 1998;82(12):2391‐400. CENTRAL

Chambers 1989 {published data only}

Chambers CV, Balaban DJ, Carlson BL, Ungemack JA, Grasberger DM. Microcomputer‐generated reminders. Improving the compliance of primary care physicians with mammography screening guidelines. Journal of Family Practice 1989;29(3):273‐80. CENTRAL

Chambers 1991 {published data only}

Chambers CV, Balaban DJ, Carlson BL, Grasberger DM. The effect of microcomputer‐generated reminders on influenza vaccination rates in a university‐based family practice center. Journal of the American Board of Family Practice 1991;4(1):19‐26. CENTRAL

Dexter 1998 {published data only}

Dexter PR, Wolinsky FD, Gramelspacher GP, Zhou XH, Eckert GJ, Waisburd M, et al. Effectiveness of computer‐generated reminders for increasing discussions about advance directives and completion of advance directive forms. A randomized, controlled trial. Annals of Internal Medicine 1998;128(2):102‐10. CENTRAL

Gilutz 2009 {published data only}

Gilutz H, Novack L, Shvartzman P, Zelingher J, Bonneh DY, Henkin Y, et al. Computerized community cholesterol control (4C): meeting the challenge of secondary prevention. Israel Medical Association Journal 2009;11(1):23‐9. [PUBMED: 19344008]CENTRAL

Heidenreich 2005 {published data only}

Heidenreich PA, Chacko M, Goldstein MK, Atwood JE. ACE inhibitor reminders attached to echocardiography reports of patients with reduced left ventricular ejection fraction. American Journal of Medicine 2005;118(9):1034‐7. CENTRAL

Heidenreich 2007 {published data only}

Heidenreich PA, Gholami P, Sahay A, Massie B, Goldstein MK. Clinical reminders attached to echocardiography reports of patients with reduced left ventricular ejection fraction increase use of beta‐blockers: a randomized trial. Circulation 2007;115(22):2829‐34. CENTRAL

Heiman 2004 {published data only}

Heiman H, Bates DW, Fairchild D, Shaykevich S, Lehmann LS. Improving completion of advance directives in the primary care setting: a randomized controlled trial. American Journal of Medicine 2004;117(5):318‐24. CENTRAL

Javitt 2005 {published and unpublished data}

Javitt JC, Steinberg G, Locke T, Couch JB, Jacques J, Juster I, et al. Using a claims data‐based sentinel system to improve compliance with clinical guidelines: results of a randomized prospective study. American Journal of Managed Care 2005;11(2):93‐102. CENTRAL

Le Breton 2016 {published data only}

Le Breton J, Ferrat E, Attali C, Bercier S, Le Corvoisier P, Brixi Z, et al. Effect of reminders mailed to general practitioners on colorectal cancer screening adherence: a cluster‐randomized trial. European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) 2016;25(5):380‐7. [PUBMED: 26340058]CENTRAL

Lobach 1997 {published data only}

Lobach DF, Hammond WE. Computerized decision support based on a clinical practice guideline improves compliance with care standards. American Journal of Medicine 1997;102(1):89‐98. CENTRAL
Lobach DF, Hammond WE. Development and evaluation of a Computer‐Assisted Management Protocol (CAMP): improved compliance with care guidelines for diabetes mellitus. Proceedings / the Annual Symposium on Computer Applications in Medical Care 1994;:787‐91. CENTRAL

Majumdar 2007 {published data only}

Majumdar SR, McAlister FA, Tsuyuki RT. A cluster randomized trial to assess the impact of opinion leader endorsed evidence summaries on improving quality of prescribing for patients with chronic cardiovascular disease: rationale and design [ISRCTN26365328]. BMC Cardiovascular Disorders 2005;5(1):17. CENTRAL
Majumdar SR, Tsuyuki RT, McAlister FA. Impact of opinion leader‐endorsed evidence summaries on the quality of prescribing for patients with cardiovascular disease: a randomized controlled trial. American Heart Journal 2007;153(1):22.e1‐8. CENTRAL

Mazzuca 1990 {published data only}

Mazzuca SA, Vinicor F, Einterz RM, Tierney WM, Norton JA, Kalasinski LA. Effects of the clinical environment on physicians' response to postgraduate medical education. American Educational Research Journal 1990;27(3):473‐88. CENTRAL

McAlister 2009 {published data only}

McAlister FA, Fradette M, Graham M, Majumdar SR, Ghali WA, Williams R, et al. A randomized trial to assess the impact of opinion leader endorsed evidence summaries on the use of secondary prevention strategies in patients with coronary artery disease: the ESP‐CAD trial protocol [NCT00175240]. Implementation Science 2006;1:11. CENTRAL
McAlister FA, Fradette M, Majumdar SR, Williams R, Graham M, McMeekin J, et al. The enhancing secondary prevention in coronary artery disease trial. Canadian Medical Association Journal 2009;181(12):897‐904. CENTRAL

McDonald 1976a {published data only}

McDonald CJ. Protocol‐based computer reminders, the quality of care and the non‐perfectability of man. New England Journal of Medicine 1976;295(24):1351‐5. CENTRAL

McDonald 1976b {published data only}

McDonald CJ. Use of a computer to detect and respond to clinical events: its effect on clinician behavior. Annals of Internal Medicine 1976;84(2):162‐7. CENTRAL

McDonald 1980 {published data only}

McDonald CJ, Wilson GA, McCabe GP. Physician response to computer reminders. JAMA 1980;244(14):1579‐81. CENTRAL

McDonald 1984 {published data only}

McDonald CJ, Hui SL, Smith DM, Tierney WM, Cohen SJ, Weinberger M, et al. Reminders to physicians from an introspective computer medical record. A two‐year randomized trial. Annals of Internal Medicine 1984;100(1):130‐8. CENTRAL
McDonald CJ, Hui SL, Tierney WM. Effects of computer reminders for influenza vaccination on morbidity during influenza epidemics. MD Computing 1992;9(5):304‐12. CENTRAL

McPhee 1989 {published data only}

Bird JA, McPhee SJ, Jenkins C, Fordham D. Three strategies to promote cancer screening. How feasible is wide‐scale implementation?. Medical Care 1990;28(11):1005‐12. CENTRAL
Fordham D, McPhee SJ, Bird JA, Rodnick JE, Detmer WM. The Cancer Prevention Reminder System. MD Computing 1990;7(5):289‐95. CENTRAL
McPhee SJ, Bird JA, Jenkins CN, Fordham D. Promoting cancer screening. A randomized, controlled trial of three interventions. Archives of Internal Medicine 1989;149(8):1866‐72. CENTRAL

Morgan 1978 {published data only}

Morgan M, Studney DR, Barnett GO, Winickoff RN. Computerized concurrent review of prenatal care. QRB. Quality Review Bulletin 1978;4(9):33‐6. CENTRAL

Nilasena 1995 {published data only}

Nilasena DS, Lincoln MJ. A computer‐generated reminder system improves physician compliance with diabetes preventive care guidelines. Proceedings / the Annual Symposium on Computer Applications in Medical Care. 1995:640‐5. CENTRAL
Nilasena DS, Lincoln MJ, Turner CW, Warner HR, Foerster VA, Williamson JW, et al. Development and implementation of a computer‐generated reminder system for diabetes preventive care. Proceedings / the Annual Symposium on Computer Application in Medical Care. 1994:831‐5. CENTRAL

Oniki 2003 {published data only}

Oniki TA, Clemmer TP, Pryor TA. The effect of computer‐generated reminders on charting deficiencies in the ICU. Journal of the American Medical Informatics Association 2003;10(2):177‐87. CENTRAL

Ornstein 1991 {published data only}

Ornstein SM, Garr DR, Jenkins RG, Rust PF, Arnon A. Computer‐generated physician and patient reminders. Tools to improve population adherence to selected preventive services. Journal of Family Practice 1991;32(1):82‐90. CENTRAL

Rosser 1991 {published data only}

McDowell I, Newell C, Rosser W. A randomized trial of computerized reminders for blood pressure screening in primary care. Medical Care 1989;27(3):297‐305. CENTRAL
McDowell I, Newell C, Rosser W. Comparison of three methods of recalling patients for influenza vaccination. Canadian Medical Association Journal 1986;135(9):991‐7. CENTRAL
McDowell I, Newell C, Rosser W. Computerized reminders to encourage cervical screening in family practice. Journal of Family Practice 1989;28(4):420‐4. CENTRAL
Rosser WW, Hutchison BG, McDowell I, Newell C. Use of reminders to increase compliance with tetanus booster vaccination. Canadian Medical Association Journal 1992;146(6):911‐7. CENTRAL
Rosser WW, McDowell I, Newell C. Use of reminders for preventive procedures in family medicine. Canadian Medical Association Journal 1991;145(7):807‐14. CENTRAL

Rossi 1997 {published data only}

Rossi RA, Every NR. A computerized intervention to decrease the use of calcium channel blockers in hypertension. Journal of General Internal Medicine 1997;12(11):672‐8. CENTRAL

Thomas 1983 {published data only}

Thomas JC, Moore A, Qualls PE. The effect on cost of medical care for patients treated with an automated clinical audit system. Journal of Medical Systems 1983;7(3):307‐13. CENTRAL

Tierney 1986 {published data only}

Tierney WM, Hui SL, McDonald CJ. Delayed feedback of physician performance versus immediate reminders to perform preventive care. Effects on physician compliance. Medical Care 1986;24(8):659‐66. CENTRAL

Turner 1989 {published data only}

Turner BJ. A controlled trial of strategies to improve delivery of preventive care. Research in medical education:proceedings of the annual Conference. Conference on Research in Medical Education 1987;26:9‐13. CENTRAL
Turner BJ, Day SC, Borenstein B. A controlled trial to improve delivery of preventive care: physician or patient reminders?. Journal of General Internal Medicine 1989;4(5):403‐9. CENTRAL

Were 2013 {published data only}

Were MC, Nyandiko WM, Huang KT, Slaven JE, Shen C, Tierney WM, et al. Computer‐generated reminders and quality of pediatric HIV care in a resource‐limited setting. Pediatrics 2013;131(3):e789‐96. [PUBMED: 23439898]CENTRAL

White 1984 {published data only}

White KS, Lindsay A, Pryor TA, Brown WF, Walsh K. Application of a computerized medical decision‐making process to the problem of digoxin intoxication. Journal of the American College of Cardiology 1984;4(3):571‐6. CENTRAL

Ziemer 2006 {published and unpublished data}

Phillips LS, Hertzberg VS, Cook CB, El‐Kebbi IM, Gallina DL, Ziemer DC, et al. The Improving Primary Care of African Americans with Diabetes (IPCAAD) project: rationale and design. Controlled Clinical Trials 2002;23(5):554‐69. CENTRAL
Phillips LS, Ziemer DC, Doyle JP, Barnes CS, Kolm P, Branch WT, et al. An endocrinologist‐supported intervention aimed at providers improves diabetes management in a primary care site: improving primary care of African Americans with diabetes (IPCAAD). Diabetes Care 2005;28(10):2352‐60. CENTRAL
Ziemer DC, Doyle JP, Barnes CS, Branch WT, Cook CB, El‐Kebbi IM, et al. An intervention to overcome clinical inertia and improve diabetes mellitus control in a primary care setting: Improving Primary Care of African Americans with Diabetes (IPCAAD). Archives of Internal Medicine 2006;166(5):507‐13. CENTRAL

Adelman 2013 {published data only}

Adelman JS, Kalkut GE, Schechter CB, Weiss JM, Berger MA, Reissman SH, et al. Understanding and preventing wrong‐patient electronic orders: a randomized controlled trial. Journal of the American Medical Informatics Association: JAMIA 2013;20(2):305‐10. CENTRAL

Alfadda 2011 {published data only}

Alfadda AA, Bin‐Abdulrahman KA, Saad HA, Mendoza CDO, Angkaya‐Bagayawa FF, Yale JF. Effect of an intervention to improve the management of patients with diabetes in primary care practice. Saudi Medical Journal 2011;32(1):36‐40. CENTRAL

Anabtawi 2013 {published data only}

Anabtawi A, Mathew LM. Improving compliance with screening of diabetic patients for microalbuminuria in primary care practice. ISRN Endocrinology 2013;2013:893913. [PUBMED: 24224095]CENTRAL

Anchala 2012 {published data only}

Anchala R, Pant H, Prabhakaran D, Franco OH. 'Decision support system (DSS) for prevention of cardiovascular disease (CVD) among hypertensive (HTN) patients in Andhra Pradesh, India'‐‐a cluster randomised community intervention trial. BMC Public Health 2012;12:393. [PUBMED: 22650767]CENTRAL

Barkun 2013 {published data only}

Barkun AN, Bhat M, Armstrong D, Dawes M, Donner A, Enns R, et al. Effectiveness of disseminating consensus management recommendations for ulcer bleeding: a cluster randomized trial. CMAJ: Canadian Medical Association Journal 2013;185(3):E156‐66. CENTRAL

Barnes 2014 {published data only}

Barnes ER, Theeke LA, Mallow J. Impact of the Provider and Healthcare team Adherence to Treatment Guidelines (PHAT‐G) intervention on adherence to national obesity clinical practice guidelines in a primary care centre. Journal of Evaluation in Clinical Practice 2014;21(2):300‐6. CENTRAL

Beeckman 2013 {published data only}

Beeckman D, Clays E, Van Hecke A, Vanderwee K, Schoonhoven L, Verhaeghe S. A multi‐faceted tailored strategy to implement an electronic clinical decision support system for pressure ulcer prevention in nursing homes: a two‐armed randomized controlled trial. Internation Journal of Nursing Studies 2013;50(4):475‐86. CENTRAL

Beeler 2014 {published data only}

Beeler PE, Eschmann E, Schumacher A, Studt JD, Amann‐Vesti B, Blaser J. Impact of electronic reminders on venous thromboprophylaxis after admissions and transfers. Journal of the American Medical Informatics Association: JAMIA 2014;21(e2):e297‐303. CENTRAL

Belland 2014 {published data only}

Belland L, Rivera‐Reyes L, Genes N, Thum F, Winkel G, Soriano J, et al. The effect of a novel clinical decision support system on pain care for older adults presenting to the emergency department with acute abdominal pain. Annals of Emergency Medicine. 2014; Vol. 64, issue 4:S81. CENTRAL

Beste 2015 {published data only}

Beste LA, Ioannou GN, Yang Y, Chang MF, Ross D, Dominitz JA. Improved surveillance for hepatocellular carcinoma with a primary care‐oriented clinical reminder. Clinical Gastroenterology and Hepatology : the official clinical practice journal of the American Gastroenterological Association 2015;13(1):172‐9. [PUBMED: 24813175]CENTRAL

Braun 2013 {published data only}

Braun R, Barandas A, Hancock‐Crear A. Improving access and addressing barriers to HPV vaccination for adolescents and young adults. Contraception. 2013; Vol. 88, issue 2:307. CENTRAL

Campbell 2014 {published data only}

Campbell F, Peleshok J, Yamada J, Krancevic A‐M, Pepper J, Dhaliwal M, et al. Impact of a quality improvement strategy for improving pain outcomes in a pediatric hospital setting. Pain Research and Management. 2014; Vol. 19, issue 3:e31. CENTRAL

Carroll 2013 {published data only}

Carroll AE, Biondich P, Anand V, Dugan TM, Downs SM. A randomized controlled trial of screening for maternal depression with a clinical decision support system. Journal of the American Medical Informatics Association: JAMIA 2013;20(2):311‐6. CENTRAL

Chen 2013 {published data only}

Chen YY, Chi MM, Chen YC, Chan YJ, Chou SS, Wang FD. Using a criteria‐based reminder to reduce use of indwelling urinary catheters and decrease urinary tract infections. American Journal of Critical Care2013; Vol. 22, issue 2:105‐14. CENTRAL

Dexheimer 2013 {published data only}

Dexheimer JW, Abramo TJ, Arnold DH, Johnson KB, Shyr Y, Ye F, et al. An asthma management system in a pediatric emergency department. International Journal of Medical Informatics 2013;82(4):230‐8. CENTRAL

Divinskiy 2015 {published data only}

Divinskiy T, Nemytova E, Liu X, Ajmal S. A quality improvement project increased documentation of advance directives among an older population in a primary care setting. Annual Scientific Meeting of the American Geriatrics Society. 2015:63. CENTRAL

dos Santos 2014 {published data only}

dos Santos MA, Tygesen H, Eriksson H, Herlitz J. Clinical decision support system (CDSS)‐‐effects on care quality. International Journal of Health Care Quality Assurance 2014;27(8):707‐18. CENTRAL

Erlingsdottir 2015 {published data only}

Erlingsdottir H, Johannesson A, Asgeirsdottir TL. Can physician laboratory‐test requests be influenced by interventions?. Scandinavian Journal of Clinical and Laboratory Investigation 2015;75(1):18‐26. CENTRAL

Federman 2014 {published data only}

Federman DG, Kravetz JD, Lerz KA, Akgun KM, Ruser C, Cain H, et al. Implementation of an electronic clinical reminder to improve rates of lung cancer screening. American Journal of Medicine 2014;127(9):813‐6. CENTRAL

Gifford 2013 {published data only}

Gifford WA, Davies BL, Graham ID, Tourangeau A, Woodend AK, Lefebre N. Developing leadership capacity for guideline use: a pilot cluster randomized control trial. Worldviews on Evidence‐Based Nursing 2013;10(1):51‐65. CENTRAL

Goldstein 2014 {published data only}

Goldstein NE, Kalman J, Kutner JS, Fromme EK, Hutchinson MD, Lipman HI, et al. A study to improve communication between clinicians and patients with advanced heart failure: Methods and challenges behind the working to improve discussions about defibrillator management trial. Journal of Pain and Symptom Management 2014;48(6):1236‐46. CENTRAL

Green 2014 {published data only}

Green BB, Anderson ML, Wang C‐Y, Vernon SW, Chubak J, Meenan RT, et al. Results of nurse navigator follow‐up after positive colorectal cancer screening test: A randomized trial. Journal of the American Board of Family Medicine 2014;27(6):789‐95. CENTRAL

Gupta 2014 {published data only}

Gupta A, Gholami P, Turakhia MP, Friday K, Heidenreich PA. Clinical reminders to providers of patients with reduced left ventricular ejection fraction increase defibrillator referral: a randomized trial. Circulation Heart Failure 2014;7(1):140‐5. CENTRAL

Hendrix 2015 {published data only}

Hendrix KS, Downs SM, Carroll AE. Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness?. Academic Pediatrics 2015;15(2):158‐64. CENTRAL

Hye 2014 {published data only}

Hye RJ, Smith AE, Wong GH, Vansomphone SS, Scott RD, Kanter MH. Leveraging the electronic medical record to implement an abdominal aortic aneurysm screening program. Journal of Vascular Surgery 2014;59(6):1535‐42. CENTRAL

Jansink 2013 {published data only}

Jansink R, Braspenning J, Keizer E, van der Weijden T, Elwyn G, Grol R. No identifiable Hb1Ac or lifestyle change after a comprehensive diabetes programme including motivational interviewing: a cluster randomised trial. Scandinavian Journal of Primary Health Care 2013;31(2):119‐27. CENTRAL

Kennedy 2012 {published data only}

Kennedy CC, Ioannidis G, Giangregorio LM, Adachi JD, Thabane L, Morin SN, et al. An interdisciplinary knowledge translation intervention in long‐term care: study protocol for the vitamin D and osteoporosis study (Original Title; URL links to DARE Abstract) pilot cluster randomized controlled trial. Implementation Science 2012;7:48. CENTRAL

Kousgaard 2013 {published data only}

Kousgaard MB, Siersma V, Reventlow S, Ertmann R, Felding P, Waldorff FB. The effectiveness of computer reminders for improving quality assessment for point‐of‐care testing in general practice‐‐a randomized controlled trial. Implementation Science 2013;8:47. CENTRAL

Lai 2015 {published data only}

Lai CL, Chan HY, Pan YJ, Chen CH. The effectiveness of a computer reminder system for laboratory monitoring of metabolic syndrome in schizophrenic outpatients using second‐generation antipsychotics. Pharmacopsychiatry 2015;48(1):25‐9. CENTRAL

Levy 2013 {published data only}

Levy BT, Xu Y, Daly JM, Ely JW. A randomized controlled trial to improve colon cancer screening in rural family medicine: an Iowa Research Network (IRENE) study. Journal of the American Board of Family Medicine 2013;26(5):486‐97. CENTRAL

Lusignan 2013 {published data only}

de Lusignan S, Gallagher H, Jones S, Chan T, van Vlymen J, Tahir A, et al. Audit‐based education lowers systolic blood pressure in chronic kidney disease: the Quality Improvement in CKD (QICKD) trial results. Kidney International 2013;84(3):609‐20. CENTRAL

Lynn 2013 {published data only}

Lynn LA, Guerra CE, Ross KM, Holmboe E, Woo K, Heitjan DF, et al. A randomized controlled trial of an evidence‐based toolbox and guide to increase primary care clinicians' rates of colorectal cancer screening in diplomates of the ABIM. Journal of General Internal Medicine. 2013; Vol. 28, issue Suppl 1. CENTRAL

Majumdar 2012 {published data only}

Majumdar SR, McAlister FA, Johnson JA, Bellerose D, Siminoski K, Hanley DA, et al. Interventions to increase osteoporosis treatment in patients with 'incidentally' detected vertebral fractures. American Journal of Medicine 2012;125(9):929‐36. CENTRAL

Maximov 2013 {published data only}

Maximov D, Lesnyak O. Implementation of the osteoarthritis clinical guideline: Results of a cluster randomized trial in primary care. Annals of the Rheumatic Diseases. 2013; Vol. 71:307‐8. CENTRAL

McEvoy 2014 {published data only}

McEvoy MD, Hand WR, Stoll WD, Furse CM, Nietert PJ. Adherence to guidelines for the management of local anesthetic systemic toxicity is improved by an electronic decision support tool and designated "Reader". Regional Anesthesia 2014;39(4):299‐305. CENTRAL

McNulty 2014 {published data only}

McNulty CA, Hogan AH, Ricketts EJ, Wallace L, Oliver I, Campbell R, et al. Increasing chlamydia screening tests in general practice: a modified Zelen prospective Cluster Randomised Controlled Trial evaluating a complex intervention based on the Theory of Planned Behaviour. Sexually Transmitted Infections 2014;90(3):188‐94. [PUBMED: 24005256]CENTRAL

Melo 2013 {published data only}

Melo Rodrigues R, Fontes AMS, Cesar Mantese O, Souza Martins R, Tanus Jorge M. Impact of an intervention in the use of sequential antibiotic therapy in a Brazilian university hospital. Revista da Sociedade Brasileira de Medicina Tropical 2013;46(1):50‐4. CENTRAL

Neal 2012 {published data only}

Neal JM, Hsiung RL, Mulroy MF, Halpern BB, Dragnich AD, Slee AE. ASRA checklist improves trainee performance during a simulated episode of local anesthetic systemic toxicity. Regional Anesthesia and Pain Medicine 2012;37(1):8‐15. CENTRAL

Nguyen 2014 {published data only}

Nguyen MC, Richardson DM, Hardy SG, Cookson RM, Mackenzie RS, Greenberg MR, et al. Computer‐based reminder system effectively impacts physician documentation. American Journal of Emergency Medicine 2014;32(1):104‐6. CENTRAL

O'Reilly 2012 {published data only}

O'Reilly D, Holbrook A, Blackhouse G, Troyan S, Goeree R. Cost‐effectiveness of a shared computerized decision support system for diabetes linked to electronic medical records. Journal of the American Medical Informatics Association: JAMIA 2012;19(3):341‐5. CENTRAL

Persell 2016 {published data only}

Persell SD, Doctor JN, Friedberg MW, Meeker D, Friesema E, Cooper A, et al. Behavioral interventions to reduce inappropriate antibiotic prescribing: a randomized pilot trial. BMC Infectious Diseases 2016;16:373. [PUBMED: 27495917]CENTRAL

Piazza 2013 {published data only}

Piazza G, Anderson FA, Ortel TL, Cox MJ, Rosenberg DJ, Rahimian S, et al. Randomized trial of physician alerts for thromboprophylaxis after discharge. American Journal of Medicine 2013;126(5):435‐42. CENTRAL

Roy 2016 {published data only}

Roy PM, Rachas A, Meyer G, Le Gal G, Durieux P, El Kouri D, et al. Multifaceted Intervention to Prevent Venous Thromboembolism in Patients Hospitalized for Acute Medical Illness: A Multicenter Cluster‐Randomized Trial. PloS One 2016;11(5):e0154832. [PUBMED: 27227406]CENTRAL

Schwalm 2015 {published data only}

Schwalm JD, Ivers NM, Natarajan MK, Taljaard M, Rao‐Melacini P, Witteman HO, et al. Cluster randomized controlled trial of Delayed Educational Reminders for Long‐term Medication Adherence in ST‐Elevation Myocardial Infarction (DERLA‐STEMI). American Heart Journal 2015;170(5):903‐13. [PUBMED: 26542498]CENTRAL

Siersma 2015 {published data only}

Siersma V, Kousgaard MB, Reventlow S, Ertmann R, Felding P, Waldorff FB. The effectiveness of computer reminders versus postal reminders for improving quality assessment for point‐of‐care testing in primary care: a randomized controlled trial. Journal of Evaluation in Clinical Practice 2015;21(1):13‐20. CENTRAL

Stockwell 2015 {published data only}

Stockwell MS, Catallozzi M, Camargo S, Ramakrishnan R, Holleran S, Findley SE, et al. Registry‐linked electronic influenza vaccine provider reminders: a cluster‐crossover trial. Pediatrics 2015;135(1):e75‐82. CENTRAL

Szilagyi 2015 {published data only}

Szilagyi PG, Serwint JR, Humiston SG, Rand CM, Schaffer S, Vincelli P, et al. Effect of provider prompts on adolescent immunization rates: a randomized trial. Academic Pediatrics 2015;15(2):149‐57. CENTRAL

Tartaglia 2013 {published data only}

Tartaglia KM, Walker C, Heacock A, Kuofie I, Liston B, West J, et al. Antibiotic timeout program: Implementing a hospital stewardship intervention. Journal of General Internal Medicine 2013;28:S429‐30. CENTRAL

Tedja 2014 {published data only}

Tedja R, Hassebroek E, Carrera P, Thakur L, Mielke C, Volkman T, et al. Reducing urinary catheter days and utilization in a chronic ventilator dependent unit: Mayo clinic quality improvement experience. Chest 2014;146:556A. CENTRAL

Teoh 2012 {published data only}

Teoh L, Latif M, Choi P, Wu S, Chan CY, Plowman G, et al. Use of a reminder sticker improves rates of documentation of resuscitation status and the appropriate prescription of venous thromboembolism prophylaxis. New Zealand Medical Journal 2012;125(1357):175‐7. CENTRAL

Weiss 2013 {published data only}

Weiss CH, Dibardino D, Rho J, Sung N, Collander B, Wunderink RG. A clinical trial comparing physician prompting with an unprompted automated electronic checklist to reduce empirical antibiotic utilization. Critical Care Medicine 2013;41(11):2563‐9. CENTRAL

Were 2011 {published data only}

Were MC, Shen C, Tierney WM, Mamlin JJ, Biondich PG, Li X, et al. Evaluation of computer‐generated reminders to improve CD4 laboratory monitoring in sub‐Saharan Africa: a prospective comparative study. Journal of the American Medical Informatics Association : JAMIA 2011;18(2):150‐5. [PUBMED: 21252053]CENTRAL

Anderson 2007

Anderson JG. Social, ethical and legal barriers to e‐health. International Journal of Medical Informatics 2007;76(5‐6):480‐3. [PUBMED: 17064955]

Axt‐Adam 1993

Axt‐Adam P, van der Wouden JC, van der Does E. Influencing behavior of physicians ordering laboratory tests: a literature study. Medical Care 1993;31:784‐94.

Baker, 2015

Baker R, Camosso‐Stefinovic J, Gillies C, Shaw EJ, Cheater F, Flottorp S, et al. Tailored interventions to address determinants of practice. Cochrane Database of Systematic Reviews 2015, Issue 4. [DOI: 10.1002/14651858.CD005470.pub3]

Balas 2000

Balas EA, Weingarten S, Garb CT, Blumenthal D, Boren SA, Brown GD. Improving preventive care by prompting physicians. Archives of Internal Medicine 2000;160(3):301‐8. [PUBMED: 10668831]

Balas 2004

Balas EA, Krishna S, Kretschmer RA, Cheek TR, Lobach DF, Boren SA. Computerized knowledge management in diabetes care. Medical Care 2004;42(6):610‐21. [PUBMED: 15167329]

Baron 2010

Baron RC, Melillo S, Rimer BK, Coates RJ, Kerner J, Habarta N, et al. Intervention to increase recommendation and delivery of screening for breast, cervical, and colorectal cancers by healthcare providers a systematic review of provider reminders. American Journal of Preventive Medicine 2010;38(1):110‐7. [PUBMED: 20117566]

Bennett 2003

Bennett JW, Glasziou PP. Computerised reminders and feedback in medication management: a systematic review of randomised controlled trials. Medical Journal of Australia 2003;178(5):217‐22. [PUBMED: 12603185]

Biau 2008

Biau DJ, Porcher R, Boutron I. The account for provider and center effects in multicenter interventional and surgical randomized controlled trials is in need of improvement: a review. Journal of Clinical Epidemiology 2008;61(5):435‐9. [PUBMED: 18394535]

Buntinx 1993

Buntinx F, Winkens R, Grol R, Knottnerus JA. Influencing diagnostic and preventive performance in ambulatory care by feedback and reminders. A review. Family Practice 1993;10(2):219‐28.

Campbell 2007

Campbell MJ, Donner A, Klar N. Developments in cluster randomized trials and Statistics in Medicine. Statistics in Medicine 2007;26(1):2‐19. [PUBMED: 17136746]

Craig 2008

Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ (Clinical Research ed.) 2008;337:a1655. [PUBMED: 18824488]

Davis 1992

Davis DA, Thomson MA, Oxman AD, Haynes RB. Evidence for the effectiveness of CME. A review of 50 randomized controlled trials. JAMA 1992;268(9):1111‐7.

Davis 1995

Davis DA, Thomson MA, Oxman AD, Haynes RB. Changing physician performance. A systematic review of the effect of continuing medical education strategies. JAMA 1995;274(9):700‐5.

Dexheimer 2008

Dexheimer JW, Talbot TR, Sanders DL, Rosenbloom ST, Aronsky D. Prompting clinicians about preventive care measures: a systematic review of randomized controlled trials. Journal of the American Medical Informatics Association 2008;15(3):311‐20. [PUBMED: 18308989]

EPOC 2015a

Effective Practice, Organisation of Care (EPOC). Suggested risk of bias criteria for EPOC reviews. epoc.cochrane.org/epoc‐specific‐resources‐review‐authors. Oslo: Norwegian Knowledge Centre for the Health Services, (accessed 1 July 2016).

EPOC 2015b

Effective Practice, Organisation of Care (EPOC). What study designs should be included in an EPOC review and what should they be called?. epoc.cochrane.org/epoc‐specific‐resources‐review‐authors. Oslo: Norwegian Knowledge Centre for the Health Services, (accessed 1 July 2016).

EPOC 2015c

Effective Practice, Organisation of Care (EPOC). Worksheets for preparing Summary of Findings tables using GRADE. epoc.cochrane.org/epoc‐specific‐resources‐review‐authors. Oslo: Norwegian Knowledge Centre for the Health Services, (accessed 1 July 2016).

EPOC 2015d

Effective Practice, Organisation of Care (EPOC). What outcomes should be reported in EPOC reviews?. epoc.cochrane.org/epoc‐specific‐resources‐review‐authors. Oslo: Norwegian Knowledge Centre for the Health Services, (accessed 1 July 2016).

Fiander 2015

Fiander M, McGowan J, Grad R, Pluye P, Hannes K, Labrecque M, et al. Interventions to increase the use of electronic health information by healthcare practitioners to improve clinical practice and patient outcomes. Cochrane Database of Systematic Reviews 2015, Issue 3. [DOI: 10.1002/14651858.CD004749.pub3]

Flodgren 2011

Flodgren G, Parmelli E, Doumit G, Gattellari M, O'Brien MA, Grimshaw J, et al. Local opinion leaders: effects on professional practice and health care outcomes. Cochrane Database of Systematic Reviews 2011, Issue 8. [DOI: 10.1002/14651858.CD000125.pub4]

Forsetlund 2009

Forsetlund L, Bjorndal A, Rashidian A, Jamtvedt G, O'Brien MA, Wolf F, et al. Continuing education meetings and workshops: effects on professional practice and health care outcomes. Cochrane Database of Systematic Reviews 2009, Issue 2. [DOI: 10.1002/14651858.CD003030.pub2]

Gagnon 2009

Gagnon MP, Legare F, Labrecque M, Fremont P, Pluye P, Gagnon J, et al. Interventions for promoting information and communication technologies adoption in healthcare professionals. Cochrane Database of Systematic Reviews 2009, Issue 1. [DOI: 10.1002/14651858.CD006093.pub2]

Garg 2005

Garg AX, Adhikari NK, McDonald H, Rosas‐Arellano MP, Devereaux PJ, Beyene J, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA 2005;293(10):1223‐38. [PUBMED: 15755945]

Giguère 2012

Giguère A, Légaré F, Grimshaw J, Turcotte S, Fiander M, Grudniewicz A, et al. Printed educational materials: effects on professional practice and healthcare outcomes. Cochrane Database of Systematic Reviews 2012, Issue 10. [DOI: 10.1002/14651858.CD004398.pub3]

GRADEpro GDT 2015 [Computer program]

GRADE Working Group, McMaster University. GRADEpro GDT. Version accessed 10 August 2015. Hamilton (ON): GRADE Working Group, McMaster University, 2014.

Grimshaw 2004

Grimshaw JM, Thomas RE, MacLennan G, Fraser C, Ramsay CR, Vale L, et al. Effectiveness and efficiency of guideline dissemination and implementation strategies. Health Technology Assessment (Winchester, England) 2004;8(6):iii‐iv, 1‐72. [PUBMED: 14960256]

Guyatt 2011

Guyatt GH, Oxman AD, Schunemann HJ, Tugwell P, Knottnerus A. GRADE guidelines: a new series of articles in the Journal of Clinical Epidemiology. Journal of Clinical Epidemiology 2011;64(4):380‐2. [PUBMED: 21185693]

Haynes 1987

Haynes RB, Walker CJ. Computer‐aided quality assurance. A critical appraisal. Archives of Internal Medicine 1987;147(7):1297‐301.

Higgins 2011

Higgins, JPT, Green, S. Cochrane Handbook for Systematic Reviews of Interventions Version. Version 5.1.0. Cochrane Handbook for Systematic Reviews of Interventions. Chichester: John Wiley & Sons, 2011.

Hoffmann 2014

Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ (Clinical Research ed.) 2014;348:g1687. [PUBMED: 24609605]

Hunt 1998

Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer‐based clinical decision support systems on physician performance and patient outcomes: a systematic review. JAMA 1998;280(15):1339‐46. [PUBMED: 9794315]

Ivers 2012

Ivers N, Jamtvedt G, Flottorp S, Young JM, Odgaard‐Jensen J, French SD, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database of Systematic Reviews 2012;6:CD000259. [DOI: 10.1002/14651858.CD000259.pub3]

Jha 2009

Jha AK, DesRoches CM, Campbell EG, Donelan K, Rao SR, Ferris TG, et al. Use of electronic health records in U.S. hospitals. The New England Journal of Medicine 2009;360(16):1628‐38. [PUBMED: 19321858]

Johnston 1994

Johnston ME, Langton KB, Haynes RB, Mathieu A. Effects of computer‐based clinical decision support systems on clinician performance and patient outcome. Annals of Internal Medicine 1994;120(2):135‐42.

Kahan 2013

Kahan BC, Morris TP. Assessing potential sources of clustering in individually randomised trials. BMC Medical Research Methodology 2013;13:58. [PUBMED: 23590245]

Kawamoto 2005

Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ 2005;330(7494):765. [PUBMED: 15767266]

Keogh‐Brown 2007

Keogh‐Brown MR, Bachmann MO, Shepstone L, Hewitt C, Howe A, Ramsay CR, et al. Contamination in trials of educational interventions. Health Technology Assessment (Winchester, England) 2007;11(43):iii, ix‐107. [PUBMED: 17935683]

Litzelman 1993

Litzelman DK, Dittus RS, Miller ME, Tierney WM. Requiring physicians to respond to computerized reminders improves their compliance with preventive care protocols. Journal of General Internal Medicine 1993;8(6):311‐7.

Mahmud 2010

Mahmud N, Rodriguez J, Nesbit J. A text message‐based intervention to bridge the healthcare communication gap in the rural developing world. Technology and Health Care : official journal of the European Society for Engineering and Medicine 2010;18(2):137‐44. [PUBMED: 20495253]

Mandelblatt 1995

Mandelblatt J, Kanetsky PA. Effectiveness of interventions to enhance physician screening for breast cancer. Journal of Family Practice 1995;40(2):162‐71.

McDonald 1976

McDonald CJ. Protocol‐based computer reminders, the quality of care and the non‐perfectability of man. New England Journal of Medicine 1976;295(24):1351‐5.

Moher 2010

Moher D, Hopewell S, Schulz KF, Montori V, Gotzsche PC, Devereaux PJ, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ 2010;340:c869. [PUBMED: 20332511]

Mohler 2015

Mohler R, Kopke S, Meyer G. Criteria for Reporting the Development and Evaluation of Complex Interventions in healthcare: revised guideline (CReDECI 2). Trials 2015;16:204. [PUBMED: 25935741]

Mollon 2009

Mollon B, Chong J, Holbrook AM, Sung M, Thabane L, Foster G. Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials. BMC Medical Informatics and Decision Making 2009;9:11. [PUBMED: 19210782]

Morris 2002

Morris AH. Decision support and safety of clinical environments. Quality & Safety in Health Care 2002;11(1):69‐75. [PUBMED: 12078374]

Ndiaye 2005

Ndiaye SM, Hopkins DP, Shefer AM, Hinman AR, Briss PA, Rodewald L, et al. Interventions to improve influenza, pneumococcal polysaccharide, and hepatitis B vaccination coverage among high‐risk adults: a systematic review. American Journal of Preventive Medicine 2005;28(5 Suppl):248‐79. [PUBMED: 15894160]

O'Brien 2007

O'Brien MA, Rogers S, Jamtvedt G, Oxman AD, Odgaard‐Jensen J, Kristoffersen DT, et al. Educational outreach visits: effects on professional practice and health care outcomes. Cochrane Database of Systematic Reviews 2007, Issue 4. [DOI: 10.1002/14651858.CD000409.pub2; PUBMED: 17943742]

Ogrinc 2016

Ogrinc G, Davies L, Goodman D, Batalden P, Davidoff F, Stevens D. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. BMJ Quality & Safety 2016;25(12):986‐92. [PUBMED: 26369893]

Oxman 1995

Oxman AD, Thomson MA, Davis DA, Haynes RB. No magic bullets: a systematic review of 102 trials of interventions to improve professional practice. Canadian Medical Association Journal 1995;153(10):1423‐31.

Pantoja 2014

Pantoja T, Green ME, Grimshaw J, Denig P, Durieux P, Gill P, et al. Manual paper reminders: effects on professional practice and health care outcomes. Cochrane Database of Systematic Reviews 2014, Issue 9. [DOI: 10.1002/14651858.CD001174.pub2; CD001174]

Pearson 2009

Pearson SA, Moxey A, Robertson J, Hains I, Williamson M, Reeve J, et al. Do computerised clinical decision support systems for prescribing change practice? A systematic review of the literature (1990‐2007). BMC Health Services Research 2009;9:154. [PUBMED: 19715591]

Schedlbauer 2009

Schedlbauer A, Prasad V, Mulvaney C, Phansalkar S, Stanton W, Bates DW, et al. What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior?. Journal of the American Medical Informatics Association 2009;16(4):531‐8. [PUBMED: 19390110]

Shea 1996

Shea S, DuMouchel W, Bahamonde L. A meta‐analysis of 16 randomized controlled trials to evaluate computer‐based clinical reminder systems for preventive care in the ambulatory setting. Journal of the American Medical Informatics Association 1996;3(6):399‐409. [PUBMED: 8930856]

Shiffman 1999

Shiffman RN, Liaw Y, Brandt CA, Corb GJ. Computer‐based guideline implementation systems: a systematic review of functionality and effectiveness. Journal of the American Medical Informatics Association : JAMIA 1999;6(2):104‐14. [PUBMED: 10094063]

Shojania 2009

Shojania KG, Jennings A, Mayhew A, Ramsay CR, Eccles MP, Grimshaw J. The effects of on‐screen, point of care computer reminders on processes and outcomes of care. Cochrane Database of Systematic Reviews 2009, Issue 3. [DOI: 10.1002/14651858.CD001096.pub2]

Siddiqi 2005

Siddiqi K, Newell J, Robinson M. Getting evidence into practice: what works in developing countries?. International Journal for Quality in Health Care : journal of the International Society for Quality in Health Care ISQua 2005;17(5):447‐54. [PUBMED: 15872024]

Stata 2007 [Computer program]

StataCorp. Stata Statistical Software: Release 10. College Station, TX: StataCorp LP, 2007.

Thomas 1999

Thomas LH, Cullum NA, McColl E, Rousseau N, Soutter J, Steen N. Guidelines in professions allied to medicine. Cochrane Database of Systematic Reviews 1999, Issue 1. [DOI: 10.1002/14651858.CD000349]

Tierney 2007

Tierney WM, Rotich JK, Hannan TJ, Siika AM, Biondich PG, Mamlin BW, et al. The AMPATH medical record system: creating, implementing, and sustaining an electronic medical record system to support HIV/AIDS care in western Kenya. Studies in Health Technology and Informatics 2007;129(Pt 1):372‐6. [PUBMED: 17911742]

Ukoumunne 1999

Ukoumunne OC, Gulliford MC, Chinn S, Sterne JA, Burney PG, Donner A. Methods in health service research. Evaluation of health interventions at area and organisation level. BMJ (Clinical Research ed.) 1999;319(7206):376‐9. [PUBMED: 10435968]

Wensing 1994

Wensing M, Grol R. Single and combined strategies for implementing changes in primary care: a literature review. International Journal for Quality in Health Care 1994;6(2):115‐32.

Arditi 2010

Arditi C, Rège‐Walther M, Burnand B, Wyatt J. Computer‐generated paper reminders: effects on professional practice and health care outcomes. Cochrane Database of Systematic Reviews 2010, Issue 5. [DOI: 10.1002/14651858.CD001175.pub2]

Arditi 2012

Arditi C, Rège‐Walther M, Wyatt JC, Durieux P, Burnand B. Computer‐generated reminders delivered on paper to healthcare professionals; effects on professional practice and health care outcomes. Cochrane Database of Systematic Reviews 2012, Issue 12. [DOI: 10.1002/14651858.CD001175.pub3]

Gorman 1998

Gorman P, Redfern C, Liaw T, Carson S, Wyatt JC, Rowe RE, et al. Computer‐generated paper reminders: effects on professional practice and health care outcomes. Cochrane Database of Systematic Reviews 1998, Issue 3. [DOI: 10.1002/14651858.CD001175]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Barnett 1983

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: blood pressure ≥ 100, "poor" follow‐up, women: 49%, mean age: 43, n = 115

Professionals: physicians, nurses, n = not clear

Setting: outpatient (Harvard Community Health Plan (HMO), Boston USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 20 months

Outcomes

Quality of care: rate of repeat blood pressure recorded at 12 months; rate of follow‐up attempted or achieved at 12 months (median)

Patient outcomes: percentage patients with blood pressure < 100 or on treatment

Clinical area and targeted activity

Hypertension (general management)

Reminder

Description: If there were not 2 repeat visits that included blood pressure measurement within 6 months after the initial recording of the elevated blood pressure, the COSTAR system was programmed to automatically generate a reminder notice to the patient's primary physician. The physician was notified of the deviation from the standard, and was given an encounter form on which he or she recorded when the next follow‐up visit should occur.

Typology: patient‐specific: YES, space for response: YES, explicit advice: NO; explanation: NO; reference: NO; at point‐of‐care: NO

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"randomly assigned to a control or to an experimental group"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

not described

Incomplete outcome data (attrition bias)
All outcomes

Low risk

8 dropouts in intervention group and 10 in control group

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Low risk

groups stratified by age and diastolic blood pressure level before randomization

Adequate protection against contamination?

High risk

physicians treated both intervention and control patients

Becker 1989

Methods

Randomized trials, unit of allocation: patient

Participants

Patients: 40‐60 years old; women: 68%, mean age: 51, n = ˜700 randomized (395 analyzed in included study groups)

Professionals: physicians, n = not clear

Setting: outpatient (University of Virginia internal medicine clinic, Charlottesville, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: nine months

Outcomes

Quality of care: overall compliance rate with preventive care guidelines (primary); compliance with: dental exam, ocular pressure check, fecal occult blood test, influenza vaccination, pneumococcal vaccination, tetanus toxoid, mammography, pap smear

Clinical area and targeted activity

Preventive care (multiple: test ordering, vaccination)

Reminder

Description: A standardized telephone questionnaire and computer program were used to create an individualized schedule for preventive care needs. The reminder specified for the patient which services were necessary and when they should be obtained. Physician received the reminder as a memorandum appended to each patient's chart at the first visit after the telephone interview. If there was no scheduled visit, the reminder was mailed to the patient's primary physician.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NOT CLEAR ; reference: NO; at point‐of‐care: YES

Notes

Additional study intervention excluded from analyses: patient reminder

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"eligible patients were randomly assigned to three study groups"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

data gathered through outpatient medical record review, but no mention of blinding

Incomplete outcome data (attrition bias)
All outcomes

Low risk

authors gave reasons for data excluded from analysis and compared a random sample of excluded patients with included patients

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Low risk

"The experimental groups were similar in all characteristics."

Adequate protection against contamination?

High risk

patients randomized

Binstock 1997

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: women 25‐49 years old without pap smear in previous three years, n = 3052

Professionals: physicians, n = not clear

Setting: outpatient (3 medical centers of a Kaiser Permanente HMO, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: not clear

Outcomes

Quality of care: pap smear rate within 12 months if due (primary)

Resource use/financial: total estimated costs; estimated costs per pap smear obtained

Clinical area and targeted activity

Preventive care/cervical cancer (test ordering)

Reminder

Description: A chart reminder was affixed to the outside of the patient's medical record. Computerized laboratory files were used to identify women without a pap smear in the previous 3 years.

Typology: patient‐specific: YES; space for response: NOT CLEAR; explicit advice: NOT CLEAR; explanation: NOT CLEAR; reference: NOT CLEAR; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"randomly assigned"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

outcome data from computerized laboratory records

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

High risk

patients randomized

Burack 1996

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: women, ≥ 40 years old, mean age: not clear, n = 2368 women randomized (1527 analyzed in included study groups)

Professionals: 20 physicians (2 family medicine physicians, 9 internal medicine physicians, 9 gynecologists)

Setting: outpatient (2 sites of a large HMO, Detroit, USA)

Interventions

Control (comparison 1): usual care

Intervention (comparison 1): physician reminder

Active control (comparison 2): patient reminder

Intervention (comparison 2): physician reminder; patient reminder

Duration of intervention: 12 months

Outcomes

Quality of care: mammography rate if due (primary)

Clinical area and targeted activity

Preventive care/breast cancer (test ordering)

Reminder

Description: Electronic HMO administrative records and previous mammograms were employed to assess eligibility. The reminder forms were generated off‐site and placed in medical records by the research team. The physician reminder was a brightly colored single page notice placed in the medical chart 1 month before the due date. In addition, the reminder displayed information concerning previous mammograms and allowed the physician to recommend an alternative due date. The reminder was removed from the chart once documentation of completed mammography was obtained.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Data extracted from graphics. Author not contacted because publication date > 10 years.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"randomly assigned"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

electronic administrative records were used

Incomplete outcome data (attrition bias)
All outcomes

Low risk

2368 women randomized ‐ 741 with no visits = 1627 analyzed (68.7%)

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Low risk

"There were no significant differences among characteristics of the intervention groups"

Adequate protection against contamination?

High risk

patients randomized

Burack 1998

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: women, 18‐40 years old, mean age: not clear, n = 5801 women randomized (3848 analyzed in included study groups)

Professionals: 20 physicians (2 family medicine physicians, 9 internal medicine physicians, 9 gynecologists)

Setting: outpatient (three sites of a large HMO, Detroit, USA)

Interventions

Control (comparison 1): usual care

Intervention (comparison 1): physician reminder

Active control (comparison 2): patient reminder

Intervention (comparison 2): physician reminder; patient reminder

Duration of intervention: 14 months

Outcomes

Quality of care: pap smear rate if due (primary)

Clinical area and targeted activity

Preventive care/cervical cancer (test ordering)

Reminder

Description: The reminder forms were computer‐generated off‐site and placed in medical records by the research team. The physician reminder was a brightly colored single page notice that included patient specific pap smear information. The notice was prominently placed at the front of the patient's medical chart 2 months before the due date. The reminder was removed from chart once documentation of completed pap smear was obtained.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

2 of the 3 sites had previously participated in a related trial on reminders.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"women were first randomly assigned, using a site specific, stratified randomization procedure to physician reminder intervention; women were then randomized to the patient reminder intervention on a weekly basis in groups of 156"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

paper copies of pap smear results received: no indication of blinding.

Incomplete outcome data (attrition bias)
All outcomes

High risk

5801 women randomized but 3848 analyzed (66.3%)

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Low risk

characteristics of women were similar and there were no significant differences

Adequate protection against contamination?

High risk

patients randomized

Chambers 1989

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: women, ≥ 40 years old, mean age: 62, n = 1262

Professionals: 30 physicians (12 faculty and 18 residents) (2 providers involved in study excluded from analyses)

Setting: outpatient (Family practice center of the department of Family Medicine, University hospital, Philadelphia, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 6 months

Outcomes

Quality of care: mammography rate if due (primary); mammography rate

Clinical area and targeted activity

Preventive care/breast cancer (test ordering)

Reminder

Description: The date of the last mammogram ordered and entered into the database was displayed in the comments section of the encounter form for each visit. The information was printed as "last mammogram: date" or, if no mammogram was on record in the database (none since 1984), the notation listed "last mammogram?" The physician ordered the mammogram by writing for one in the test ordered section of the encounter form.

Typology: patient‐specific: YES; space for response: YES; explicit advice: NO; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"assigned according to a computer‐generated random number program"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

"data entered by office receptionists"

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

patients (n = not clear) from the 2 physician investigators excluded from analysis

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Low risk

some proportion of women up‐to‐date at baseline

Characteristics at baseline similar?

Low risk

"the subjects in the experimental and control groups were similar in age, race, insurance coverage and complexity of disease".

Adequate protection against contamination?

High risk

physicians likely saw patients with and without reminders

Chambers 1991

Methods

Cluster randomized trial, unit of allocation: health professional (stratified by level of training)

Participants

Patients: ≥ 65 years old or with any of the following clinical diagnoses: diabetes, renal failure, anemia, congestive heart failure, asthma, or chronic obstructive pulmonary disease; women: 74%; mean age: not clear, n = 489 analyzed

Professionals: 30 physicians (12 faculty and 18 residents)

Setting: outpatient (Family practice center, Thomas Jefferson University, Philadelphia, USA)

Interventions

Control: usual care

Intervention: physician reminders (always)

Duration of intervention: 2 months

Outcomes

Quality of care: vaccination rate if due (primary)

Clinical area and targeted activity

Preventive care/influenza (vaccination)

Reminder

Description: "Flu vac in 1987?__" appears on the encounter form, computer‐generated for each visit when a patient arrives at the receptionist's desk, which is then attached to the front of the patient chart; it includes space for information regarding tests and procedures ordered.

Typology: patient‐specific: NO; space for response: YES; explicit advice: NO; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Additional study intervention excluded from analyses: physicians reminders (sometimes: printed for half the eligible patients)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Physician randomly assigned via a computerized randomization program"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

not clear

Incomplete outcome data (attrition bias)
All outcomes

Low risk

864 patients randomized ‐ 51 received vaccination before start ‐ 93 saw multiple physicians ‐ 24 drop‐in visits = 686 analyzed (79.4%)

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

Low risk

physician assignment overruled patient assignment: physicians in control group never received a reminder

Dexter 1998

Methods

Cluster randomized trial (2 x 2 factorial design), unit of allocation: half‐day session, n = 30

Participants

Patients: ≥ 75 years old or ≥ 50 with serious underlying disease, women: 66%, mean age: 65, n = 1394 eligible patients (1009 analyzed), n = 1160 patient/physician pairs

Professionals: 147 providers (39 faculty, 108 residents)

Setting: outpatient (4 practices with 8 half‐day sessions each, Indiana University, USA)

Interventions

Control: usual care

Intervention (3 intervention arms combined): physician reminder

Duration of intervention: not clear

Outcomes

Quality of care: rate of patients who completed either directives; patient/physician pair who discussed directives

Clinical area and targeted activity

Advance directives for patients at risk for acute deterioration (professional‐patient communication)

Reminder

Description: All physicians routinely received computer‐generated reminders for patients with scheduled visits. They were reminded to give preventive care, note abnormal results, and avoid drug interactions. These reminders appeared at the bottom of computer‐generated printed encounter forms. The advance directive reminders were followed by a choice list (discussed today, next visit, not applicable, patient too ill, patient refuses to discuss, I disagree with advance directives).

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Intervention a: physician reminder for instruction directive

Intervention b: physician reminder for proxy directive

Intervention c: physician reminder for both

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"we randomly assigned all of the physicians who worked in a particular half‐day session to the same reminder category."

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

research assistants who collected data were blinded at all times to the patient's study groups

Incomplete outcome data (attrition bias)
All outcomes

Low risk

1394 eligible patients ‐ 42 missed by research assistant ‐ 83 low scores ‐ 36 in nursing homes or prison ‐ 29 deaf or spoke no English ‐ 9 completed advanced directive ‐ 5 for other reasons = 1190 patients interviewed and 1042 enrolled ‐ 33 patients cared for by 10 physicians who changed sessions = 1009 analyzed

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

High risk

similar, except for ethnicity and coronary heart disease and significant difference among groups for "had ever thought about advance directive": higher for control group

Adequate protection against contamination?

Low risk

"16 physicians practiced in more than one session per week: therefore we randomly assigned the sessions in a stepped manner by first allocating the 16 physicians and all of their associated sessions; we then randomly assigned the remaining eight sessions"

Gilutz 2009

Methods

Cluster‐randomized trial, unit of allocation: primary clinics (n = 112)

Participants

Patients: women: 37.5% , mean age: 65.6, n = 7448

Professionals: physicians, nurses, n = 600

Setting: outpatient (112 primary care clinics of a HMO, Israel)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 6‐36 months (mean: 21)

Outcomes

Quality of care: rate of appropriate lipoprotein monitoring; rate of initiation or up‐titration of statin therapy; rate of up‐titration in eligible patients

Patient outcomes: LDL levels, event‐free survival (only intervention group data)

Clinical area and targeted activity

Cardiovascular disease (multiple: general management, prescription)

Reminder

A written reminder with patient‐tailored recommendations was mailed to the primary care physicians and nurses. The recommendations were based on the previous 6 months data for new patients, and 4 months for patients in periodic follow‐up. The reminder indicated the patient’s risk factors, lipoprotein values, and known dispensed medications. Lipid‐lowering drug treatment was recommended only in patients with LDL > 110 mg/dL and consisted of either statin initiation (simvastatin 20 mg/day), statin up‐titration (doubling the last registered dose), changing to a more potent statin or compliance evaluation. For unresponsive and compliant patients it was recommended that they be referred to a metabolic clinic.

Typology: patient‐specific: YES; space for response: NOT CLEAR; explicit advice: YES; explanation: YES; reference: NOT CLEAR; at point‐of‐care: NO

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of randomization not described in paper.

Allocation concealment (selection bias)

Unclear risk

insufficient information

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

administrative data. "data were collected from three routinely used databases"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

The number of attrition and exclusions pre‐randomization were reported, as well as reasons for attrition/exclusions. No exclusions after randomization.

Selective reporting (reporting bias)

High risk

Outcomes defined in the methods are not reported in the results (initiation of statin, LDL levels in middle and low groups, and secondary outcomes (mortality and hospitalizations))

Other bias

Unclear risk

not clear.

Outcomes at baseline similar?

Unclear risk

No baseline measures of outcomes

Characteristics at baseline similar?

High risk

"Patients in the intervention and control groups were similar in most parameters. However, there were significantly more patients with a history of myocardial infarction (33.0% vs. 29.9%, P = 0.004) and percutaneous coronary intervention (26.2% vs. 23.8%, P = 0.019) in the intervention arm."

Adequate protection against contamination?

Low risk

Clinic randomized to avoid contamination.

Heidenreich 2005

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: ventricular ejection fraction < 40%; women: 0.7%; mean age: 67.5, n = 600 [277 analyzed]

Professionals: not clear

Setting: inpatient and outpatient (VA, Palo Alto, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 18 months

Outcomes

Quality of care: ACE inhibitor use rate (primary)

Patient outcomes: mean systolic/diastolic blood pressure; mean creatinine level; mortality

Clinical area and targeted activity

Ventricular dysfunction (prescribing)

Reminder

Description: Echocardiography reports included this statement: "Note: patients with ejection fraction < 40% have a survival benefit with ACE inhibitors (goal dose lisinopril or fosinopril 30‐40 mg/day)".

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: YES; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Patient selection and randomization were computerized and performed in conjunction with the generation of the reminder: patients who met study entry criteria were randomized using a computerized random number generator."

Allocation concealment (selection bias)

Low risk

"Allocation was concealed from all echocardiographers until the reminder appeared on the report."

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

"medication use was determined from review of inpatient or outpatient encounters"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Among the 600 eligible and randomized patients, 201 were excluded from analyses as they were already on ACE‐inhibitor or appropriate alternative at the time of randomization (96 [32.9%] in intervention group and 105 [34.1%] in control group), 46 died within 2 months of the echocardiogram (20 [6.8%] in intervention group and 26 [8.4%] in control group), 71 left the VA healthcare system (36 [12.3%] in intervention group and 35 [11.4%] in control group) , and 5 had an allergy or adverse reaction to ACE‐inhibitors (3 [1%] in intervention group and 2 [0.6%] in control group). In total, 323 [53.8%] were excluded from analyses (155 [53.1%] in intervention group and 168 [54.5%] in control group).

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Low risk

no significant difference between groups for ACE inhibitor use

Characteristics at baseline similar?

Low risk

no significant difference except for history of heart failure, but not extreme. Adjusted for in multivariate analyses.

Adequate protection against contamination?

High risk

patients randomized rather than physicians

Heidenreich 2007

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: men: 98%, mean age: 69, n = 1546 [1271 analyzed]

Professionals: physicians (n = 45) and nurse practitioners (n = 5), n = 50

Setting: outpatient and inpatient (VA, Palo Alto, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 56 months

Outcomes

Quality of care: prescription rate of any beta‐blocker within 9 months (primary); prescription rate of recommended beta‐blockers within 9 months

Clinical area and targeted activity

Ventricular dysfunction (prescribing)

Reminder

Description: In the process of printing the completed echocardiography report, the computer algorithm checked the electronic report and had a reminder attached to the report of eligible patients meeting the pre‐defined criteria. The reminder included the following statement: "Note: Patients with reduced left ventricular ejection fraction have a survival benefit with beta‐blockers (initial dose: carvedilol 3.125 mg BID or metoprolol succinate 12.5 mg BID)". The reminder also recommended cardiology follow‐up if the patient had New York Heart Association class II or IV symptoms.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: YES; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Randomization was carried out in conjunction with the formation of the reminder with an electronic database: patients meeting study criteria were randomized with a computerized random number generator. Randomization was performed separately at each site"

Allocation concealment (selection bias)

Low risk

"Allocation was concealed from all echocardiographers until the reminder appeared on the report."

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"prescription was determined with the VA pharmacy database"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

See Figure 1: Among the 1546 eligible and randomized patients, 89 died within 30 days of the echocardiogram (44 [5.8%] in intervention group and 45 [5.7%] in control group), 180 left the healthcare system (88 [11.7%] in intervention group and 92 [11.6%] in control group) , and 6 had an echocardiography at >1 site (2 [0.3%] in intervention group and 4 [0.5%] in control group). In total, 275 [17.8%] were excluded from analyses (134 [17.7%] in intervention group and 141 [17.8%] in control group). Exclusions did not significantly differ between groups.

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Low risk

no significant difference between groups for β‐Blocker use

Characteristics at baseline similar?

Low risk

no significant difference except for percentage of male, but not extreme.

Adequate protection against contamination?

High risk

patients randomized rather than physicians.

Heiman 2004

Methods

Cluster‐randomized trial, unit of allocation: clinic, n = 5

Participants

Patients: ≥ 70 yr or ≥ 50 yr with severe chronic illness, without advanced directives; women: 68%; mean age: 72; n = 719 in included study arms

Professionals: 31 providers in included study arms

Setting: outpatient (5 clinics in 5 general practices in Boston, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 7 months

Outcomes

Quality of care: completion rate of any advanced directives (primary); discussion or completion rate of advanced directives; completion rate of healthcare proxy; completion rate of living will

Clinical area and targeted activity

Advance directives (professional‐patient communication)

Reminder

Description: Reminders were printed at the bottom of patient summary sheets at every patient visit during the study period. It read: "Your patient is x years old with a history of y medical condition and is missing key information about advanced directives". It instructed physicians to enter data about discussion or completion of the living will and healthcare proxy in either the inpatient or the outpatient electronic medical record. Reminders were already in use for screening tests.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Additional study intervention excluded from analyses: physician reminder; patient reminder; patient educational material

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"A blinded programmer using a random number generator randomly assigned each group"

Allocation concealment (selection bias)

Low risk

"A blinded programmer using a random number generator randomly assigned each group"

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"The study investigator who assessed outcomes was not blinded".

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Among the 950 randomized patients, 41 were ineligible (17 [3.4%] in intervention group and 24 [5.4%] in control group) and 190 refused to participate (102 [20.2%] in intervention group and 88 [19.7%] in control group). In total, 719 [75.7%] were included in the intention‐to‐treat analyses (385 [76.4%] in intervention group and 334 [74.9%] in control group).

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

Not reported

Characteristics at baseline similar?

High risk

significant differences at baseline for age, gender, private insurance, and number of qualifying illnesses

Adequate protection against contamination?

Low risk

physicians randomized

Javitt 2005

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: all members of a managed care plan, 12‐64 years old; women: 58%; mean age: 38, n = 41,870 [35,447 completed study] (n = not clear for included analyses)

Professionals: not clear

Setting: mixed (managed care plan, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 12 months

Outcomes

Quality of care: compliance rate with starting a new drug (primary) (other outcomes not available)

Resource use/cost: mean hospital admissions; mean inpatient days; mean length of stay; inpatient charges

Clinical area and targeted activity

General management: increase compliance with evidence‐based practices (prescribing)

Reminder

Description: The sentinel system is designed as a rule‐based artificial intelligence engine combined with an automated message generator that conveys clinical recommendations and supporting literature to treating physicians. Daily data inputs include physician‐generated insurance claims, hospital discharge and outpatient claims, laboratory claims and laboratory test results, and pharmacy claims. Typical issues targeted by the rules engine include the following: a) absence of ACE inhibitor therapy in patients with congestive heart failure and in those who meet the HOPE trial criteria; b) absence of β‐blocker use in patients with myocardial infarction; c) absence of anticoagulation in patients with atrial fibrillation and structural heart disease; d) absence of documented laboratory monitoring in patients taking warfarin sodium, glitazones, and other medications that require specific laboratory tests. The system contains more than 1000 decision matrices that, when triggered, result in the transmission of a communication to the treating physician (on paper). All recommendations make clear that the communication is merely for the physician's consideration and that there may be mitigating circumstances that might render the recommendation inappropriate.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NOT CLEAR; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Patients were assigned to an intervention or a control group, using an individually assigned random number. Assignment occurred on a single date at study entry."

Allocation concealment (selection bias)

Low risk

"Assignment occurred on a single date at study entry. Neither patients nor treating physicians were informed of the allocation, although it is likely that physicians who received communications about specific patients surmised that those patients were part of the intervention group."

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not specified in article. Likely from a computer database.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

41870 patients randomized ‐ 2408 withdrew before study inception (1206 [5.9%] in control group and 1202 [5.8%] in intervention group) ‐ 4015 withdrew between 6 and 12 months (2088 [10%] in control group and 1927 [9.2%] in intervention group) = 35447 [84.7%] completed study (17635 [84.3%] in control group and 17812 [85.1%] in intervention group)

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Low risk

"at baseline, no significant differences were observed in age or sex between the intervention and control group subjects"

Adequate protection against contamination?

High risk

physicians likely care for patients in intervention and control group

Le Breton 2016

Methods

Cluster‐randomized trial, unit of allocation: health professional (n = 144)

Participants

Patients: age 50‐74, registered with a study provider and visited a study provider during study period; women: 55.8%; median age: 60; n = 20788

Professionals: 144 general practitioners

Setting: outpatient (individual or group primary care practices, Val‐de‐Marne, France)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 17 months

Outcomes

Quality of care: unadjusted patient adherence to colorectal cancer screening (completion of FOBT or exclusion from FOBT for medical reason), adjusted patient adherence (adjusted for clustering)

Clinical area and targeted activity

Preventive care/colorectal cancer (test ordering)

Reminder

The screening centre mailed three reminders to the intervention‐group GPs at 4‐month intervals. The reminders were lists of patients who had not performed a scheduled FOBT.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NO; reference: NO; at point‐of‐care: NO

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"GPs were assigned randomly in a 1:1 proportion to the intervention or the control group, in permuted blocks of 2 or 4"

Allocation concealment (selection bias)

Low risk

unit of allocation by professional (GP)

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"Outcome data were collected for all patients in the ADOC94 database throughout the study period and over the 9‐month period following the last reminder by data abstracters who were blinded to group assignment."

Incomplete outcome data (attrition bias)
All outcomes

Low risk

"We included 20 778 patients who were eligible for CRC screening and had visited a study GP for any reason during the study period". No missing data. See Figure 1 in paper.

Selective reporting (reporting bias)

Low risk

Primary outcome in trial register matches the primary outcome in the published paper.

Other bias

Unclear risk

Low GP participation rate. Only 15% of contacted GPs agreed to participate in the study.

Outcomes at baseline similar?

Low risk

No SS difference at baseline. "CRC screening adherence rates were 21.8% (95% CI 18.7–26.1) in the intervention group and 21.9% (95% CI 18.9–26.5) in the control group."

Characteristics at baseline similar?

High risk

Some SS differences. "Baseline GP characteristics were similar in the two groups, except for numbers of GPs in group practice and charging above‐standard fees, which were higher in the control group. The only significant difference in baseline patient characteristics was a slightly higher proportion of patients from deprived areas in the intervention group."

Adequate protection against contamination?

Low risk

Randomization at the GP level. Low risk of contamination.

Lobach 1997

Methods

Cluster‐randomized trial, unit of allocation: health professional

Participants

Patients: diabetic; n = 497 eligible patients (359 analyzed); encounters: 1265 (884 analyzed)

Professionals: 58 primary care providers randomized (20 family physicians, 1 general internist, 2 physician's assistants, 2 nurse practitioners, 33 residents) [30 analyzed]

Setting: outpatient (Duke Family Medicine Center, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: six months

Outcomes

Quality of care: clinician compliance rate overall (number of recommendations completed/total number of recommendations) (primary); clinician compliance rate for 8 recommendations: foot exam every month in patients with diabetic neuropathy or history of lower limb ulcer, annual complete physical exam, glycated hemoglobin every 6 months, annual urine protein determination, annual cholesterol level, annual eye exam, seasonal influenza vaccination, pneumococcal vaccination

Clinical area and targeted activity

Diabetes (multiple: test ordering, vaccination)

Reminder

Description: The Computer‐Assisted Management Protocol generates a set of disease‐specific care recommendations customized to an individual patient, based on data stored in the patient's electronic medical record, that advises the clinician regarding which studies/procedures should be done during the current visit and which studies/procedures are next due in order to assist the clinician with managing the diabetic patient in accordance with a clinical practice guideline. The output is printed on the 1st page of the paper encounter form. Additional flexibility is included for the clinicians to designate that the recommendation was declined by the patient ("D") or never to be done for the patient ("N"). Clinicians can order the appropriate studies/procedures on the encounter form and indicate results of procedures done during the encounter.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: YES; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"all primary care providers were randomly assigned by standard randomization techniques"

Allocation concealment (selection bias)

Low risk

"all primary care providers were randomly assigned by standard randomization techniques"

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"chart audit with audit protocol: intra‐auditor consistency > 90%"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Low risk

"compliance scores prior to study were not statistically significantly different"

Characteristics at baseline similar?

Low risk

"patients did not differ significantly by age, race or gender"

Adequate protection against contamination?

Low risk

providers randomized

Majumdar 2007

Methods

Cluster‐randomized trial; unit of allocation: health professional

Participants

Patients: patients with heart failure or with ischemic heart disease; women: 60%; median age: 75; n = 171

Professionals: primary care physicians, n = 769 potentially eligible randomized (128 analyzed)

Setting: outpatient (Alberta, Canada)

Interventions

Active control: medication profile

Intervention: physician reminder; medication profile

Duration of intervention: 3.5 year

Outcomes

Quality of care: prescription rate of efficacious therapies within 6 months (primary); prescription rate of ACE inhibitors or ARBs in heart failure patients; prescription rate of statins in ischemic heart disease patients

Clinical area and targeted activity

Cardiovascular disease (prescribing)

Reminder

Description: For each patient, a condition‐specific one‐page evidence summary was generated in the form of a letter addressed to the primary care physician and was faxed to him. The letters identified patients and their diagnoses, briefly described the key evidence in support of the study medications, and were signed by opinion leaders. The intent of the intervention was that the evidence summary (and medical profile) would become part of the patient's medical record and act as a point‐of‐care reminder for the next patient visit.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: YES; reference: YES; at point‐of‐care: NO

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"simple randomization with concealment of allocation was performed with the use of a computer‐generated sequence"

Allocation concealment (selection bias)

Low risk

"simple randomization with concealment of allocation was performed with the use of a computer‐generated sequence"

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"all outcomes were ascertained in an independent and blinded fashion, and allocation was concealed from patients, investigators, data collectors, and analysts"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

"no study patients were lost to follow‐up". 769 professionals were randomized, but 128 were analyzed as most did not contribute an eligible patient.

Selective reporting (reporting bias)

High risk

results on secondary outcomes not reported.

Other bias

Low risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Low risk

"the intervention and control subjects were comparable, with no important differences"

Adequate protection against contamination?

Low risk

physicians allocated to intervention

Mazzuca 1990

Methods

Cluster non‐randomized trial; unit of allocation: clinical area, n = 4

Participants

Patients: patients with non‐insulin dependent diabetes mellitus; women: not clear; mean age: not clear; total n = 2791 (estimated 1395 in the 2 included study arms)

Professionals: 99 internal medicine residents and 15 faculty internists (total n = 114) in four clinical areas (estimated 57 in the 2 included study arms)

Setting: outpatient (4 clinic areas of a general medicine clinic, Indiana University, USA)

Interventions

Active control: educational meeting (postgraduate seminar)

Intervention: physician reminder; educational meeting (postgraduate seminar)

Duration of intervention: 11 months

Outcomes

Quality of care: adherence rate to recommendations for: lab orders (glycated hemoglobin, fasting blood glucose) and therapies (home‐monitored blood glucose, diet clinic referral, oral hypoglycemic agents) (median)

Clinical area and targeted activity

Diabetes (multiple: test ordering, prescribing, referral)

Reminder

Description: Printed reminders were placed in patients' clinic records whenever the computer detected history, physical, laboratory, or pharmacy data indicating the need to consider a recommendation (e.g. if the patient was obese and without a diet on record, the computer would print out the following reminder on a separate sheet). (same system as McDonald 1984)

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NOT CLEAR; reference: NO; at point‐of‐care: YES

Notes

Additional study interventions excluded from analyses: a) physician reminder; educational meeting (postgraduate seminar); physician educational material; b) physician reminder; educational meeting (postgraduate seminar); physician educational material; patient education service

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

"the four areas were assigned arbitrarily to study conditions according to a nonequivalent control group design"

Allocation concealment (selection bias)

High risk

"the four areas were assigned arbitrarily to study conditions according to a nonequivalent control group design"

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"computerized audit of medical record"

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Low risk

"baseline interviews with a random sample of 175 patients showed the 4 groups to be equivalent with respect to general therapeutic practices"

Characteristics at baseline similar?

Unclear risk

not clear

Adequate protection against contamination?

Low risk

randomization by clinical area

McAlister 2009

Methods

Cluster‐randomized trial, unit of allocation: health professional

Participants

Patients: > 18 years old, diagnosed with coronary artery disease (stenosis in at least one coronary vessel of ≥ 50%) eligible for but not already taking a statin or who were on a suboptimal regimen, women: 21%, mean age: 64, n = 480

Professionals: primary care physicians, n = 252

Setting: outpatient (252 general practices in Alberta, Canada)

Interventions

Active control: coronary artery diagram

Intervention (two intervention arms combined): coronary artery diagram; physician reminder

Duration of intervention: 6 months

Outcomes

Quality of care: compliance with recommendation at six months (statin initiation or increase in dose) (primary); taking a statin; standardized statin dose; taking another lipid‐lowering drug; acetylsalicylic acid; acetylsalicylic acid or thienopyridine; ACE inhibitor; ACE inhibitor or ARB; β‐Blocker; triple therapy

Patient outcomes: mortality rate

Resource use/cost: ED visits, hospitalizations

Clinical area and targeted activity

Cardiovascular disease (prescribing)

Reminder

Description: The statement was a 1‐page summary of evidence‐based secondary prevention strategies and treatment recommendations. The Local Opinion Leader Statement contained the signatures of 5 local opinion leaders, while the Unsigned Evidence Statement was unsigned. These statements were imprinted with the name of the patient, addressed directly to the patient's physician, and faxed automatically by a software program, along with a coronary artery diagram documenting the extent of the patient's coronary atherosclerosis. These statements were sent to physicians within a few days of the angiogram.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: YES; reference: YES for intervention a/NO for intervention b; at point‐of‐care: NO

Notes

Intervention a: coronary artery diagram; physician reminder (local opinion leader statement)

Intervention b: coronary artery diagram; physician reminder (unsigned evidence statement)

Intervention groups considered separately in 1 analysis (content of reminder: reference versus no reference)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"computer‐generated central randomization system with concealment of the randomization list"

Allocation concealment (selection bias)

Low risk

"computer‐generated central randomization system with concealment of the randomization list"

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"Blinding of outcome assessors and analysts"

Incomplete outcome data (attrition bias)
All outcomes

Low risk

reasons provided for excluded patients; intention‐to‐treat analyses

Selective reporting (reporting bias)

Low risk

outcomes reported match outcomes described in protocol

Other bias

Low risk

no recruitment bias; GEE analyses

Outcomes at baseline similar?

Low risk

"No appreciable differences between the treatment arms" for statin use (P = 0‐87) and statin dosing (P = 0.84)

Characteristics at baseline similar?

Low risk

"At baseline, there were no statistically significant differences between groups".

Adequate protection against contamination?

Low risk

randomization by health professional

McDonald 1976a

Methods

Cluster non‐randomized trial (cross‐over), unit of allocation: health professional

Participants

Patients: percentage of women: not clear, mean age: not clear, n = 189

Professionals: physicians, n = 9

Setting: outpatient care (general medicine clinic at Wishard Memorial Hospital, Indianapolis, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 17 weeks

Outcomes

Quality of care: overall compliance rate (primary); compliance rate with observing a physical finding or inquiring about a symptom; compliance with ordering a diagnostic study; compliance with changing or initiating a therapeutic regimen

Clinical area and targeted activity

General care (multiple: prescribing, test ordering, other)

Reminder

Description: The Regenstrief Medical records system searches its records for events and makes recommendations about the management. Each recommendation consists of a reminder to the physician that a particular event has occurred and a suggested course of "action" for correcting that event. The study involved 390 protocols (recommendations). The computer prints 3 reports. The first is the surveillance report, which contains all the computer recommendations for a given patient. The second is a computer‐tailored encounter form, which provides space for recording findings. The third report, the summary report, is not influenced by the computer protocols and is a flow‐sheet summary.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: YES; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

no mention of randomization

Allocation concealment (selection bias)

High risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

outcome data gathered through medical record review, no indication of blinding

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

High risk

cross‐over design

McDonald 1976b

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: adult diabetic patients; percentage of women: not clear, mean age: 60, n = 257 (226 analyzed)

Professionals: diabetologists, residents, interns, senior medical residents, nurse clinicians, n = 63

Setting: outpatient (diabetic clinic of Wishard Memorial Hospital, Indianapolis, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 8 months

Outcomes

Quality of care: compliance rate with recommendations for test ordering/therapeutical change (median)

Clinical area and targeted activity

Diabetes (multiple: prescribing, test ordering)

Reminder

Description: The computerized medical record system (Regenstrief) generated prospective, protocol‐driven recommendations, which alerted the clinician to the existence of, and the proper response to, simple events. Two types of protocols: 1) taking measurement at proper intervals, based on "if on drug A and no test B for X months then order test B"; 2) reacting to measures that implied that treatment was either insufficient, excessive, or dangerous, based on "if on drug A and last test B abnormal, then warn about possible changed drug action". The computer printed 3 reports: the summary report, with a flow‐sheet; the patient encounter form with space for writing new medication orders; the surveillance report, with the protocol‐generated suggestions to physician, with recommended tests, date of last test, treatments triggering recommendation, recommendations for specific changes in therapeutics, with rationale for the change suggested.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: YES; reference: YES; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

randomized by computer‐generated random number

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

not clear

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

High risk

most practitioners saw patients from both the study and control groups

McDonald 1980

Methods

Cluster‐randomized trial (cross‐over trial), unit of allocation: health professional

Participants

Patients: n = not clear; conditions: 3691

Professionals: 31 providers (9 interns, 17 residents, 5 nurse‐practitioners)

Setting: outpatient (General medicine service, University Hospital, Indianapolis, USA)

Interventions

Control: usual care

Intervention (2 intervention arms combined): physician reminder

Duration of intervention: 15 weeks

Outcomes

Quality of care: compliance rate

Clinical area and targeted activity

Preventive care (multiple: test ordering, prescribing, general management)

Reminder

Description: At each visit, the computer provides a tailored encounter form and a flow sheet summary of each patient's medical history and follows physician‐authored management rules (n = 410) to remind the physician about patient conditions requiring his attention. The report containing these reminders is called the "surveillance" report. Practitioners order all diagnostic treatments and referrals by recording them on the encounter form.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: YES; reference: YES for intervention a / NO for intervention b; at point‐of‐care: YES

Notes

Intervention a: physician reminder (with bibliographic citations)

Intervention b: physician reminder (without citations)

Intervention groups considered separately in 1 analysis (content of reminder: reference versus no reference)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

physicians were randomly assigned to the order to which they received their intervention

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

not clear

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

High risk

cross‐over trial

McDonald 1984

Methods

Cluster‐randomized trial, unit of allocation: practice team, n = 27

Participants

Patients: women: 65%; mean age: not clear; n = 12,467

Professionals: 130 providers (115 residents, 11 faculty, 4 nurses) within practice teams (n = 115 in included study groups)

Setting: outpatient (27 teams in a general medicine service, University Hospital, Indianapolis USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 2 years

Outcomes

Quality of care: overall compliance rate (primary); compliance with occult blood, cervical smear, chest roentgenogram, pneumococcal vaccine, tuberculosis skin test, serum potassium, mammogram, influenza vaccine, diet, digitalis, antacids, beta blockers (12 reminders)

Clinical area and targeted activity

Preventive care (multiple: vaccination, test ordering, prescribing)

Reminder

Description: The computerized medical record was programmed with 1491 rules that could generate 751 different reminder messages. The set of rules included reminders about preventive care, obtaining tests needed to complete the initial database or to identify the cause of existing abnormalities, about prophylactic treatment and treatment of active problems. The computer used these rules to review each patient's electronic medical record the day before each visit. For each patient, when it found conditions satisfying the reminder rule, a reminder was stored on a disc file. The computer gathered these messages as a printed report that was attached to the charts of scheduled patients. The reminder messages included citations to the relevant medical literature.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: YES; reference: YES; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"Each team was randomized as to study or control"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

outcomes measured using computer

Incomplete outcome data (attrition bias)
All outcomes

Low risk

physicians with fewer than 100 reminder messages during study period excluded (2%)

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

Not reported

Characteristics at baseline similar?

Low risk

No significant difference in gender and age for patients

Adequate protection against contamination?

Unclear risk

practice team randomized, but faculty members and nurse‐clinicians saw both study groups

McPhee 1989

Methods

Cluster‐randomized trial, unit of allocation: health professional

Participants

Patients: ≥ 40 years old, women: 67%, mean age: not clear; n = ˜1291 patients in four included study arms

Professionals: 42 residents in four included study arms

Setting: outpatient (General Internal Medicine Practice, University hospital, San Francisco USA)

Interventions

Control (comparison 1): usual care

Intervention (comparison 1): physician reminder

Active control (comparison 2): distribution of educational material to patients; patient reminder

Intervention (comparison 2): physician reminder; distribution of educational material to patients; patient reminder

Duration of intervention: nine months

Outcomes

Quality of care: physician compliance rate with: FOBT, rectal exam, sigmoidoscopy, pap smear, pelvic exam, breast exam, and mammography (median)

Cost: cost per patient; cost per additional screening test

Clinical area and targeted activity

Preventive care/colorectal, breast, cervical cancer (test ordering)

Reminder

Description: The cancer screening reminders provided residents with up‐to‐date information about their patient's screening status. The research staff printed cancer screening reminders at the time of each patient appointment and updated existing microcomputer files by re‐auditing patient medical records in preparation for return appointments. At the time of a patient's visit to the resident, a cancer screening reminder was attached to the regular encounter form or medical record. A new reminder was generated for each patient encounter. Reminders displayed the list of appropriate cancer screening procedures (based on the patient's sex and age), the recommended testing intervals, the last performance date, the due date for each next test, and the patient's current "due" status. The physician indicated on the form whether or not each test was performed or ordered during the current visit.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: NO; reference: YES; at point‐of‐care: YES

Notes

Data extracted from graphics. Author not contacted as publication date > 10 years.

Additional study interventions excluded from analyses: a) audit and feedback, b) audit and feedback; distribution of educational material to patients; patient reminder

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"residents were randomly assigned to one of six intervention groups"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Medical records audit: no blinding but reliability test performed on random sample (90‐98%)

Incomplete outcome data (attrition bias)
All outcomes

High risk

1969 records audited at baseline = 72% of eligible patients; 1936 records audited during study = 71% of eligible patients

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Low risk

compliance scores at baseline not significantly different

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

Low risk

providers randomized

Morgan 1978

Methods

Non‐randomized trial, unit of allocation: patient

Participants

Patients: pregnant women; mean age: not clear, n = 279

Professionals: physicians, n = 5

Setting: outpatient (Harvard Community Health Plan ambulatory care center, Boston, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 18 months

Outcomes

Quality of care: compliance rate with 5 minimum standard of care (at 18months): blood group and type, syphilis serology, prenatal counseling, pregnancy diet counseling, sickle cell preparation (median)

Clinical area and targeted activity

Prenatal care (multiple: test ordering, professional‐patient communication)

Reminder

Description: COSTAR was programmed to automatically check the records of patients at the time of each prenatal visit to determine if physicians had complied with specific indices of care. An updated summary record was printed prior to the patient's visit with the list of missing items, under the heading "Data incomplete".

Typology: patient‐specific: YES; space for response: NO; explicit advice: NO; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

"patients with odd‐numbered medical records were assigned to the experimental group (...) patients with even‐numbered medical records were assigned to a control group".

Allocation concealment (selection bias)

High risk

allocation based on odd/even number of medical record

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

outcomes likely assessed by computer, but no specific indication in text

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

High risk

physicians saw patients from intervention and control groups

Nilasena 1995

Methods

Cluster‐randomized trial (blocked by site and level of training), unit of allocation: health professional

Participants

Patients: women: not clear; mean age: not clear; n = 480 identified (164 analyzed)

Professionals: internal medicine residents, n = 35 randomized out of 36

Setting: outpatient (2 clinics, USA)

Interventions

Active control: blank encounter form; educational meeting

Intervention: physician reminder; blank encounter form; ; educational meeting

Duration of intervention: 6 months

Outcomes

Quality of care: overall compliance rate (primary)

Clinical area and targeted activity

Diabetes (multiple: test ordering, prescribing, general management, professional‐patient communication)

Reminder

Description: The computer program outputs a printed paper health maintenance report for the patient's primary physician based on the currently available data for the patient. The report summarizes the patient's diabetes preventive‐health status, and lists a schedule of upcoming or past due preventive‐health activities for the patient. Clinical alerts about high‐risk aspects of the patient's current profile are also presented. The report is placed at the front of the patient's chart.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NOT CLEAR; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"resident physicians were randomly assigned"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

manual chart review ‐ no blinding procedure described

Incomplete outcome data (attrition bias)
All outcomes

High risk

480 patients identified, but 164 analyzed (34.2%). No exclusion reasons.

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

High risk

baseline compliance lower in control group (34.6%) than intervention group (38.0%)

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

Low risk

health professional randomized

Oniki 2003

Methods

Non‐randomized trial, unit of allocation: patient

Participants

Patients: women: not clear; mean age: not clear, n = 120

Professionals: nurses (n = 109)

Setting: inpatient (2 intensive care units in LDS Hospital, Department of Critical Care, Utah, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 59 days (45 days in control group)

Outcomes

Quality of care: mean deficiencies per day per patient (patient's total number of deficiencies/number of valid days in study) (primary)

Clinical area and targeted activity

Intensive care (multiple: record keeping, general management)

Reminder

Description: The computer system stored any mid‐day (13:00) reminders generated in a database. For each patient in the study group, the program generated a reminder report which listed patient's room, patient number/name, the date and any reminder (e.g. no Glasgow Coma Score between 7:00 and 13:00). Any reports containing reminders were delivered to charge nurse, who delivered them to the bedside nurse.

Typology: patient‐specific: YES; space for response: NO; explicit advice: NO; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

patients assigned according to ICU room to which they were admitted

Allocation concealment (selection bias)

High risk

patients assigned according to ICU room to which they were admitted

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

outcome measure collected from computer system

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

High risk

40 nurses cared for study and control patients

Ornstein 1991

Methods

Cluster‐randomized trial, unit of allocation: practice, n = 4

Participants

Patients: > 18 years old, due for prevention services; women: 61%; mean age: 40; n = 7,397 (3564 in comparison 1; 3833 in comparison 2)

Professionals: 49 family physicians (6 faculty, 1 fellow, 42 residents)

Setting: outpatient (four practice groups in the Family Medicine Center at the Medical University of South Carolina, USA)

Interventions

Active control (comparison 1): educational meeting; audit and feedback

Intervention (comparison 1): physician reminder; educational meeting; audit and feedback

Active control (comparison 2): patient reminder; educational meeting; audit and feedback

Intervention (comparison 2): physician reminder; patient reminder; educational meeting; audit and feedback

Duration of intervention: 12 months

Outcomes

Quality of care: physician adherence rate to 5 preventive services: FOBT, mammography, tetanus vaccine, cholesterol, pap smear (median)

Clinical area and targeted activity

Preventive care/colorectal, breast, cervical cancer, tetanus vaccination and cholesterol prevention (multiple: test ordering, vaccination)

Reminder

Description: Reminder forms were generated by the computer system for each patient the night before a scheduled appointment. The reminders were generated by scanning each patient record for deficient preventive services based on the patient's age, sex, and last recorded time of the service. Forms were printed on single sheets of paper and attached to the medical record by nursing personnel the morning of the scheduled visit. The top half of the form listed identifying information and 0 to 5 deficient preventive services. It contained boxed for the physician to mark, indicating his or her action on each particular reminder. Actions included ordering the preventive service that day, scheduling the patient to return for it another day, noting that it was not indicated for the patient, offering it to the patient but having the patient refuse, or not discussing it. The bottom half of the reminder form listed any of the 5 preventive services appropriate for the patient's age and sex, and the date the item was last received.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"patients and their physicians were randomly assigned by practice group into study groups"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"[outcome] assessed through computerized medical records"

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

High risk

adherence rate at baseline differ according to study groups

Characteristics at baseline similar?

High risk

"statistically significant differences between study groups were present for race, insurance coverage, and visit frequency"

Adequate protection against contamination?

Low risk

physicians randomized

Rosser 1991

Methods

Cluster‐randomized trial, unit of allocation: family, n = 4450 families randomized

Participants

Patients: 15 years old or more; percentage of women: not clear; mean age: not clear; 1403 patients (1056 families) randomized to usual care and 1471 patients (1122 families) randomized to included study arm

Flu arm: 822 families randomized, 939 patients; blood pressure arm: 4247 families randomized, 5744 patients; Pap arm: 1406 women randomized; Tetanus arm: 4247 families randomized, 5589 patients

Professionals: staff physicians, residents, and nurses, n = not clear

Setting: outpatient (four practices, University of Ottawa Family Medicine Center, Canada)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 12 months (69 days for flu arm)

Outcomes

Quality of care: rate of eligible patients for whom the recommended procedure was performed (primary); rate of eligible patients with: influenza vaccination, blood pressure reading, pap test, tetanus vaccination

Clinical area and targeted activity

Preventive care/influenza vaccination, blood pressure, smoking status, pap test, tetanus (multiple: test ordering, vaccination)

Reminder

Description: Computer‐generated reminders were included on the routinely printed encounter form before any visit to the office to remind the physician of outstanding preventive procedures. Until the procedure or reading was recorded, the computer continued to generate reminders on subsequent visits. Influenza vaccination reminder: for patients who had not already been vaccinated, the message stated "Patient 65 or older: check flu immunization". Blood pressure reminder: When the patient booked an appointment, the computer printed a reminder advising the doctor to "Check blood pressure". Pap reminder: for women who had not been screened during previous year, the computer printed a message to the physician to recommend cervical screening. Tetanus vaccination reminder: "ask patient about tetanus vaccination" was included on the routinely printed encounter form.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Additional study interventions excluded from analyses: a) patient phone reminder, b) patient letter reminder

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"with the use of a standard randomization computer program"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Influenza vaccination recorded in the computer, but data completed by phone calls which are not described as blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

possible that patients had undergone preventive measures somewhere else, but similar situation across groups

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Low risk

no significant difference for age and gender (family size was different before exclusion of practices)

Adequate protection against contamination?

Unclear risk

families (patients) randomized; physicians likely saw both study and control patients

Rossi 1997

Methods

Cluster‐randomized trial, unit of allocation: health professional

Participants

Patients: men: 96%, mean age: 68, n = 719 patients

Professionals: physicians (n = 15), residents/fellows (n = 44) and nurse practitioners (n = 12)

Setting: outpatient (General internal medicine clinic of the VA Pounget Sound Health Care System, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 6 months

Outcomes

Quality of care: prescription change rate (primary)

Patient outcomes: mean blood pressure

Resource use: mean clinic visits per patient, mean ED visits per patient, mean creatinine tests per patient, mean total cholesterol tests per patient

Clinical area and targeted activity

Hypertension (prescribing)

Reminder

Description: An automated computer query system identified eligible patients and their providers. For each clinic visit, for each eligible patient, providers had a 1‐page guideline reminder placed in the patient chart by the clinic pharmacist, attached to the medication refill forms that are given to providers at every patient visit. The reminder highlighted the prescription and offered alternative drugs and doses. For continued medication use, the reminder also asked provider to designate 1 of 4 indications.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: YES; reference: YES; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"A random number generator was used to randomize providers, stratified to whether they were staff physicians, nurse practitioners, or residents or fellows".

Allocation concealment (selection bias)

Low risk

randomization at the physician level; providers were assigned numeric codes and study investigators were blinded to the coding identifiers

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

outcome data from computer database

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

High risk

provider characteristics (type, gender, number patients, number patient visits) were not statistically different; patient characteristics (age, race, gender, weight, blood pressure) were not statistically different, but mean prescriptions per patient and percentage on ß‐blockers and ACE inhibitors were different

Adequate protection against contamination?

Low risk

physicians randomized

Thomas 1983

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: diabetic patients; percentage of women: not clear, mean age: not clear; n = 185 (133 analyzed)

Professionals: physicians, n = not clear

Setting: outpatient (University of Texas Medical School Ambulatory Clinic, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 12 months (not finished)

Outcomes

Quality of care: compliance rate (primary)

Resource use/cost: percentage of patients hospitalized, mean days of hospitalization, mean number of patient visits, mean costs per patient

Clinical area and targeted activity

Diabetes (multiple: not specified)

Reminder

Description: An automated chart audit is obtained for each patient scheduled to attend the clinic, based on protocol‐driven algorithms, and prints a report for the physician. 80% of suggestions are recommendations concerning general medicine and preventive care, and 20% are for specific speciality problems.

Typology: patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NOT CLEAR; reference: NOT CLEAR; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"Patients were assigned through the use of stratified random sample"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

"a medical research assistant interviewed each patient for every visit during the study; all study data were then coded and entered into the automated medical record system"

Incomplete outcome data (attrition bias)
All outcomes

High risk

305 patients entered study; 52 dropped out; 133 with first 12 mo data (43.6%)

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

High risk

patients randomized

Tierney 1986

Methods

Cluster‐randomized trial, unit of allocation: clinic session (n = 32)

Participants

Patients: percentage women: not clear, mean age: not clear; n = 6045

Professionals: faculty, interns and residents, n = 135

Setting: outpatient (general medicine clinic of Wishard Memorial Hospital, Indianapolis, USA)

Interventions

Control (comparison 1): usual care

Intervention (comparison 1): physician reminder

Active control (comparison 2): feedback (delayed reminder)

Intervention (comparison 2): physician reminder; feedback (delayed reminder)

Duration of intervention: 7 months

Outcomes

Quality of care: physician compliance with 13 protocols: FOBT, pneumococcal vaccination, antacids, TB skin testing, beta‐blockers, nitrates, anti‐depressants, calcium supplements, pap smear, mammography, metronidazole, digitalis, salicylates (median)

Clinical area and targeted activity

Preventive care (multiple: test ordering, vaccination, prescribing)

Reminder

Description: The reminders were generated the night before scheduled appointments and were placed in patients' clinical charts. Each reminder identified the patient and listed the suggested preventive care along with data from the computer record that made the patient eligible for the action, along with supporting references (same system as McDonald 1984).

Typology: Patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NO; reference: YES; at point‐of‐care: YES

Notes

Data extracted from graphics. Author not contacted as publication date > 10 years.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"we randomized house staff by their clinic session"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

computerized data

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Low risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Unclear risk

not reported

Adequate protection against contamination?

Low risk

allocation by clinic session

Turner 1989

Methods

Cluster non‐randomized trial, unit of allocation: clinic team (n = 5)

Participants

Patients: with multiple chronic diseases, ≥ 20 yr, women: 74%, mean age: 60; n = 253 (n = 150 in included study arms)

Professionals: junior and senior residents (n = 39) in 5 clinic teams (n = 25 in included study arms)

Setting: outpatient (general medicine clinic, USA)

Interventions

Active control: patient‐mediated intervention (questionnaire given to physician); distribution of educational material to patient

Intervention: physician reminder; patient‐mediated intervention (questionnaire given to physician); distribution of educational material to patient

Duration of intervention: 6 months

Outcomes

Quality of care: adherence rates to recommendations: FOBT, rectal exam, mammography, pap smear, breast exam (median)

Clinical area and targeted activity

Preventive care (test ordering)

Reminder

Description: The computer record/reminder system used age‐ and sex‐standardized criteria for preventive care to generate patient‐specific reminder that was printed at the bottom of each patient's visit record sheet. Physicians were instructed to write in the date on which each listed service was last completed (C) or requested (R). On subsequent visits, the computer printed the updated information on the visit record; an asterisk in the "due " column indicated that it was time to repeat the service.

Typology: Patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Additional study intervention excluded from analyses: distribution of educational material to patient

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

allocation by day

Allocation concealment (selection bias)

High risk

allocation by day

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"chart abstractors were not blind to the clinic groups of the patients in the audit"

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

High risk

tetanus vaccination rate not shown, as performance rate remained at less than 10% despite the interventions

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

High risk

"extremely poor performance of mammography by the residents in the computer/questionnaire group"

Characteristics at baseline similar?

Low risk

"no significant differences were found among groups"

Adequate protection against contamination?

Low risk

clinic teams allocated, on different days

Were 2013

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: women: 49.3% , mean age: 7, n = 1619 randomized (1611 analyzed)

Professionals: clinical officer, physician, nurse (n = 30)

Setting: outpatient (pediatric HIV clinic, Kenya)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 5 months

Outcomes

Quality of care: completion of overdue clinical tasks (primary); mean time (days) from when a patient had an overdue clinical task to the completion of the task

Clinical area and targeted activity

HIV care (multiple: prescription, test ordering, referral)

Reminder

The patient‐specific clinical summary, tailored for pediatric care, displayed selected information from the patient’s EHR to provide a quick reference to the most relevant data needed by clinicians. The module also contained CDSS functionality that appended patient‐ specific care reminders (overdue tests and treatments) to the bottom of the clinical summary. All summaries were attached to the relevant patients’ paper charts for clinicians to review during a patient’s clinic visit. Clinicians were asked to document their response to each reminder. No more than 5 reminders were displayed for each patient per visit.

Typology: patient‐specific: YES; space for response: YES; explicit advice: YES; explanation: YES; reference: YES; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"All patients, both HIV‐exposed and HIV‐infected, previously enrolled at the study site were randomly assigned to either the intervention or control group in a 1:1 ratio by using a 4‐block randomization scheme."

Allocation concealment (selection bias)

Unclear risk

method of concealment not described

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Authors don't mention blinding of outcome assessors.

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

8 patients were excluded from the analyses because they were seen by a clinician involved in the study. It is unclear if all the charts have been reviewed and if no data is missing.

Selective reporting (reporting bias)

Low risk

Primary outcome stated in the trial registry matches the primary outcome in the published results.

Other bias

Unclear risk

not clear.

Outcomes at baseline similar?

Unclear risk

no baseline outcome measures

Characteristics at baseline similar?

Low risk

"There were no statistically significant differences in the demographic characteristics between the control and intervention groups."

Adequate protection against contamination?

High risk

Clinicians received reminders for some patients but not others. "We randomized by patient in‐ stead of by clinician, because patients typically saw whichever clinician was first available at the time of their visit, and it was not possible to tell in advance which patient a clinician would see. We understood that this could sensitize clinicians to order the indicated care for control patients, which might bias our study against finding a significant effect for the reminders."

White 1984

Methods

Randomized trial, unit of allocation: patient

Participants

Patients: women: 50% , mean age: 69, n = 396

Professionals: physicians, n = not clear

Setting: inpatient (Hospital, Utah, USA)

Interventions

Control: usual care

Intervention: physician reminder

Duration of intervention: 3 months

Outcomes

Quality of care: compliance rate (primary)

Clinical area and targeted activity

Digoxin intoxication (prescribing)

Reminder

Description: Each night, the computer program activates the alert modules for all patients in the hospital. Alert message are formatted into a "digoxin alert report" that is sent out to a line printer in the nursing division nearest the patient. This report is placed in the patient chart by nursing personnel.

Typology: Patient‐specific: YES; space for response: NO, explicit advice: YES; explanation: YES; reference: NO; at point‐of‐care: YES

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"a random number generator was used to assign patients to an alert or nonalert group"

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"a blinded medical record review was carried out in accordance with a protocol aimed at identifying physician actions with possible relation to the digoxin alerts"

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

not clear

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Unclear risk

not reported

Characteristics at baseline similar?

Low risk

"there was no statistically significant difference between groups for sex, age, and medical/surgical service"

Adequate protection against contamination?

High risk

patients randomized

Ziemer 2006

Methods

Cluster‐randomized trial (2 x 2 factorial design), unit of allocation: half‐day session (n = 40)

Participants

Patients: women: 67%; mean age: 59; 4,138 patients (n = 2026 in comparison 1; n = 2112 in comparison 2)

Professionals: 345 providers (faculty, residents) (approx. 8 per session)

Setting: outpatient (2 clinics with 20 half‐day sessions each in Atlanta, USA)

Interventions

Active control (comparison 1): educational meetings; distribution of educational material to physicians

Intervention (comparison 1): physician reminder; educational meetings; distribution of educational material to physicians

Active control (comparison 2): educational meetings; distribution of educational material to physicians; audit and feedback

Intervention (comparison 2): physician reminder ;educational meetings; distribution of educational material to physicians; audit and feedback

Duration of intervention: 3 years

Outcomes

Quality of care: providers who did enough (at 36 months)

Patient outcomes: glycated hemoglobin level (primary); systolic blood pressure; LDL cholesterol; patients with glycated hemoglobin < 7%; patients with systolic blood pressure < 130 mmHg (no percentage data); patients with LDL cholesterol < 100 mg/dL (no percentage data)

Clinical area and targeted activity

Diabetes (general management)

Reminder

Description: The reminder includes a flow sheet showing clinically relevant parameters during the present visit and several previous visits, together with specific recommendations for management. The reminders document the course of critical values, provide notice when evaluations are due, include individualized recommendations for modifications in therapy. The patient‐specific reminder is printed out and attached to the front of the chart each time a patient with diabetes presents for a visit; a specific reminder sheet will be generated for each diabetic patient to be seen each week.

Typology: Patient‐specific: YES; space for response: NO; explicit advice: YES; explanation: NO; reference: NO; at point‐of‐care: YES

Notes

Process data provided by authors.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

half‐day medical clinic sessions randomized; randomization not explicitly described

Allocation concealment (selection bias)

Unclear risk

not described

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

not clear

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

not clear

Selective reporting (reporting bias)

Unclear risk

In published design paper, outcomes to be reported: level of glycated hemoglobin, blood pressure and lipid levels. Intensification of therapy, eye exam and foot exam: only results on intensification reported.

Other bias

Unclear risk

not clear

Outcomes at baseline similar?

Low risk

there were no differences in compliance rates among the different intervention arms at baseline (data sent by author)

Characteristics at baseline similar?

Low risk

there were no significant differences among the patients assigned to residents in the different intervention arms

Adequate protection against contamination?

Low risk

half‐day medical clinic sessions randomized

ACE: angiotensin converting enzyme, ARB: angiotensin receptor blocker, ED: emergency department, FOBT: fecal occult blood test, GEE: generalized estimating equation, HIV: human immunodeficiency virus, HMO: health maintenance organization, ICU: intensive care unit, LDL: low‐density lipoprotein, TB: tuberculosis, VA: Veterans Affairs

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Adelman 2013

Reminders delivered onscreen

Alfadda 2011

Ineligible comparison group or inappropriate control (assistant‐initiated reminder)

Anabtawi 2013

Reminders delivered onscreen

Anchala 2012

Ineligible comparison group or inappropriate control

Barkun 2013

Ineligible comparison or inappropriate control

Barnes 2014

Ineligible comparison or inappropriate control

Beeckman 2013

Ineligible comparison or inappropriate control

Beeler 2014

Reminders delivered onscreen

Belland 2014

Reminders delivered onscreen

Beste 2015

Reminders delivered onscreen

Braun 2013

Ineligible comparison or inappropriate control

Campbell 2014

Ineligible comparison or inappropriate control

Carroll 2013

Ineligible comparison or inappropriate control

Chen 2013

Not computer‐generated

Dexheimer 2013

Ineligible comparison or inappropriate control

Divinskiy 2015

Ineligible comparison or inappropriate control

dos Santos 2014

Reminders delivered onscreen

Erlingsdottir 2015

Not computer‐generated

Federman 2014

Reminders delivered onscreen

Gifford 2013

Not a reminder

Goldstein 2014

Reminders delivered onscreen

Green 2014

Ineligible comparison or inappropriate control

Gupta 2014

Reminders delivered onscreen

Hendrix 2015

Ineligible comparison or inappropriate control

Hye 2014

Reminders delivered onscreen

Jansink 2013

Ineligible comparison or inappropriate control

Kennedy 2012

Ineligible comparison or inappropriate control

Kousgaard 2013

Reminders delivered onscreen

Lai 2015

Reminders delivered onscreen

Levy 2013

Mixed reminder

Lusignan 2013

Ineligible comparison or inappropriate control

Lynn 2013

Ineligible comparison or inappropriate control

Majumdar 2012

Mixed reminder

Maximov 2013

Ineligible comparison or inappropriate control

McEvoy 2014

Not a reminder

McNulty 2014

Ineligible comparison or inappropriate control

Melo 2013

Ineligible comparison or inappropriate control

Neal 2012

Not original study

Nguyen 2014

Reminders delivered onscreen

O'Reilly 2012

Not original study

Persell 2016

Reminders delivered onscreen

Piazza 2013

Not computer‐generated

Roy 2016

Not computer‐generated

Schwalm 2015

Ineligible comparison or inappropriate control

Siersma 2015

Ineligible comparison or inappropriate control

Stockwell 2015

Reminders delivered onscreen

Szilagyi 2015

Reminders delivered onscreen

Tartaglia 2013

Ineligible comparison or inappropriate control

Tedja 2014

Mixed reminder

Teoh 2012

Not computer‐generated

Weiss 2013

Reminders delivered onscreen

Were 2011

Ineligible comparison or inappropriate control

Study flow diagram*Ineligible comparison or inappropriate control: e.g. physician reminder combined with another intervention vs usual care, physician reminder with a specific feature vs physician reminder without it, physician reminder vs another intervention$Not a provider reminder: e.g. audit and feedback, changes in medical records system, expert system for estimating diagnosis/risk/dosage, patient‐mediated intervention
Figuras y tablas -
Figure 1

Study flow diagram

*Ineligible comparison or inappropriate control: e.g. physician reminder combined with another intervention vs usual care, physician reminder with a specific feature vs physician reminder without it, physician reminder vs another intervention

$Not a provider reminder: e.g. audit and feedback, changes in medical records system, expert system for estimating diagnosis/risk/dosage, patient‐mediated intervention

Methodological quality summary: review authors' judgements about each methodological quality item for each included study.
Figuras y tablas -
Figure 2

Methodological quality summary: review authors' judgements about each methodological quality item for each included study.

Methodological quality graph: review authors' judgements about each methodological quality item presented as percentages across all included studies.
Figuras y tablas -
Figure 3

Methodological quality graph: review authors' judgements about each methodological quality item presented as percentages across all included studies.

Absolute improvement of quality of care by study, using the primary outcome defined by authors (represented by a red dot), and median improvement by study, using the median outcome of all reported quality of care outcomes (represented by a blue square (the median) and blue line (interquartile range))
Figuras y tablas -
Figure 4

Absolute improvement of quality of care by study, using the primary outcome defined by authors (represented by a red dot), and median improvement by study, using the median outcome of all reported quality of care outcomes (represented by a blue square (the median) and blue line (interquartile range))

Median effect and interquartile range (IQR) across comparisons by reminder feature (P values reflect Mann–Whitney test)
Figuras y tablas -
Figure 5

Median effect and interquartile range (IQR) across comparisons by reminder feature (P values reflect Mann–Whitney test)

Median effect and interquartile range (IQR) across comparisons by study feature (*Kruskall–Wallis test; other P values reflect Mann–Whitney test)
Figuras y tablas -
Figure 6

Median effect and interquartile range (IQR) across comparisons by study feature (*Kruskall–Wallis test; other P values reflect Mann–Whitney test)

Computer‐generated reminders delivered on paper to healthcare professionals, alone or in addition to co‐intervention(s), compared with usual care or the co‐intervention(s) without the reminder component

Patient or population: Healthcare professionals

Settings: Outpatient care in Canada, France, Israel, Kenya and USA

Intervention: Reminders automatically generated through a computerized system (computer‐generated) and delivered on paper to healthcare professionals, alone or in addition to one or more co‐interventions, aimed at enhancing compliance with preventive guidelines (e.g. cancer screening tests, vaccination) or disease management guidelines for acute or chronic conditions (e.g. annual follow‐ups, laboratory tests, medication adjustment, counseling)

Comparison: Usual care or co‐intervention(s) without reminder component

Outcomes

Median improvement

Number of studies (comparisons)

Certainty of the evidence
(GRADE)

Comments

Quality of care

Pooling data across the 40 comparisons, the median improvement in quality of care associated with the reminder intervention was 6.8% (IQR 3.8% to 17.5%).

34 studies

(40 comparisons)

⊕⊕⊕⊝
MODERATE1

Quality of care was measured by various rates: e.g. test ordering rates, vaccination rates, follow‐up rates, prescription rates, overall compliance rate.

Patient outcomes

Not estimable

6 studies

(7 comparisons)

⊕⊝⊝⊝
VERY LOW2

No measurable effect on i) blood pressure, glycated hemoglobin and cholesterol levels, ii) reaching blood pressure, glycated hemoglobin and cholesterol targets, and iii) mortality.

Adverse effects

Not reported

None of the included studies reported outcomes related to harms or adverse effects of reminders.

IQR: interquartile range

GRADE Working Group grades of evidence
High certainty: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate certainty: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low certainty: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low certainty: We are very uncertain about the estimate.

1 We downgraded the level of certainty of the evidence from high to moderate because of methodological limitations in the included studies and possible publication bias. We did not find other serious limitations in the other factors (indirectness of evidence, inconsistency of results, and imprecision of results).

2 We downgraded the level of certainty of the evidence from high to very low because of methodological limitations in the included studies, imprecision of results (wide confidence intervals) and inconsistency of the results.

Figuras y tablas -

Computer‐generated reminders delivered on paper to healthcare professionals alone (single‐component intervention) compared with usual care

Patient or population: Healthcare professionals

Settings: Outpatient care in Canada, France, Israel, Kenya and USA

Intervention: Computer‐generated reminders delivered on paper alone (single‐component intervention)

Comparison: Usual care

Outcomes

Median improvement

Number of studies (comparisons)

Certainty of the evidence
(GRADE)

Comments

Quality of care

Pooling data across the 27 comparisons, the median improvement in quality of care associated with the reminder intervention was 11.0%

(IQR 5.4% to 20.0%)

27 studies

(27 comparisons)

⊕⊕⊕⊝
MODERATE1

Quality of care was measured by various rates: e.g. test ordering rates, vaccination rates, follow‐up rates, prescription rates, overall compliance rate.

Patient outcomes

Not estimable

4 studies

(4 comparisons )

⊕⊝⊝⊝
VERY LOW2

No measurable effect on i) blood pressure, glycated hemoglobin and cholesterol levels, ii) reaching blood pressure, glycated hemoglobin and cholesterol targets, and iii) mortality.

Adverse effects

Not reported

None of the included studies reported outcomes related to harms or adverse effects of reminders.

IQR: interquartile range

GRADE Working Group grades of evidence
High certainty: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate certainty: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low certainty: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low certainty: We are very uncertain about the estimate.

1 We downgraded the level of certainty of the evidence from high to moderate because of methodological limitations in the included studies and possible publication bias. We did not find other serious limitations in the other factors (indirectness of evidence, inconsistency of results, and imprecision of results).

2 We downgraded the level of certainty of the evidence from high to very low because of methodological limitations in the included studies, imprecision of results (wide confidence intervals) and inconsistency of the results.

Figuras y tablas -

Computer‐generated reminders delivered on paper to healthcare professionals in addition to one or more co‐interventions (multi‐component intervention) compared with the co‐intervention(s) without the reminder component

Patient or population: Healthcare professionals

Settings: Outpatient care in Canada and USA

Intervention: Computer‐generated reminders delivered on paper in addition to one or more co‐interventions (multi‐component intervention)

Comparison: Co‐intervention(s) without the reminder component

Outcomes

Median improvement

(interquartile range)

Number of studies (comparisons)

Certainty of the evidence
(GRADE)

Comments

Quality of care

Pooling data across the 13 comparisons, the median improvement in quality of care associated with the reminder intervention was 4.0% (3.0% to 6.0%)

11 studies

(13 comparisons)

⊕⊕⊕⊝
MODERATE1

Quality of care was measured by various rates: e.g. test ordering rates, vaccination rates, follow‐up rates, prescription rates, overall compliance rate.

Patient outcomes

Not estimable

2 studies

(3 comparisons)

⊕⊝⊝⊝
VERY LOW2

No measurable effect on i) blood pressure, glycated hemoglobin and cholesterol levels, ii) reaching blood pressure, glycated hemoglobin and cholesterol targets, and iii) mortality.

Adverse effects

Not reported

None of the included studies reported outcomes related to harms or adverse effects of reminders.

IQR: interquartile range

GRADE Working Group grades of evidence
High certainty: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate certainty: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low certainty: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low certainty: We are very uncertain about the estimate.

1 We downgraded the level of certainty of the evidence from high to moderate because of methodological limitations in the included studies and possible publication bias. We did not find other serious limitations in the other factors (indirectness of evidence, inconsistency of results, and imprecision of results).

2 We downgraded the level of certainty of the evidence from high to very low because of methodological limitations in the included studies and imprecision of results (wide confidence intervals).

Figuras y tablas -
Table 1. Improvement rates of quality of care, by study

Study ID

Primary outcome

Other outcomes (n)

Absolute improvement ‐ using primary outcome

Median absolute improvement ‐ using other outcomes (interquartile range)

Barnett 1983

 

percentage of eligible patients with: blood pressure values on record, follow‐up (2)

 

38.8% (18.4% to 59.1%)

Becker 1989

overall compliance rate with preventive care recommendations

percentage of eligible patients with: dental check, ocular pressure check, FOBT, flu vacc, pneumo vacc, tetanus vacc, mammography, pap smear (8)

4.7%

5.8% (3.0% to 10.2%)

Binstock 1997

percentage of eligible patients with pap smear

 

7.6%

 

Burack 1996_1

percentage of eligible patients with mammography

 

6.0%

 

Burack 1996_2

percentage of eligible patients with mammography

 

4.0%

 

Burack 1998_1

percentage of eligible patients with pap smear

 

1.0%

 

Burack 1998_2

percentage of eligible patients with pap smear

 

3.0%

 

Chambers 1989

percentage of eligible patients with mammography

 

7.1%

 

Chambers 1991

percentage of eligible patients with flu vacc

 

20.7%

 

Dexter 1998

 

percentage of eligible patients with: discussion of directives, completion of directives (2)

 

9.2% (6.1% to 12.3%)

Gilutz 2009

percentage of patients with adequate monitoring, percentage of eligible patients with initiation or up‐titration of statin therapy, percentage of eligible patients with up‐titration (3)

5.4% (1.2% to 6.1%)

Heidenreich 2005

percentage of eligible patients with ACE inhibitor prescription

 

11.5%

 

Heidenreich 2007

percentage of eligible patients with any β‐blocker prescription

percentage of eligible patients with recommended β‐blocker prescription

7.9%

6.7% (5.4% to 7.9%)

Heiman 2004

percentage of eligible patients with advance directives

percentage of eligible patients with: discussion or completion of directives, completion of healthcare proxy, completion of living will (3)

‐0.2%

‐0.3% (‐0.9% to ‐0.2%)

Javitt 2005

compliance rate with prescription reminders (start a new drug) (denominator: reminders)

 

7.0%

 

Le Breton 2016

adherence to colorectal cancer screening

1.7%

Lobach 1997

overall physician compliance rate

physician compliance rate with: foot exam, physical exam, glycated hemoglobin, urine protein determination, cholesterol level, eye exam, flu vacc, pneumo vacc (8)

16.4%

22.7% (11.0% to 28.4%)

Majumdar 2007

overall compliance rate with prescription reminders

percentage of eligible patients with: ACE inhibitor or ARB therapy prescription, statins prescription

6.0%

9.0% (0.0% to 18.0%)

Mazzuca 1990

 

physician compliance rate with: glycated hemoglobin, fasting blood glucose, home‐monitored blood glucose, diet clinic referral, oral hypoglycemic agents (5)

 

4.0% (4.0% to 5.0%)

McAlister 2009

overall compliance rate with prescription reminders

percentage of eligible patients with: statins, standardized statin dose, another lipid‐lowering drug, acetylsalicylic acid, acetylsalicylic acid or thienopyridine, ACE inhibitor, ACE inhibitor or ARB, β‐blocker, triple therapy (8)

6.6%

0.5% (‐0.4% to 2.2%)

McDonald 1976a

overall compliance rate with prescription reminders (denominator: reminders)

compliance with: observing a physical finding or inquiring about a symptom, ordering a diagnostic study, changing or initiating a therapeutic regimen (3)

28.9%

24.7% (21.1% to 38.8%)

McDonald 1976b

overall compliance rate with reminders (denominator: reminders)

percentage of patients with: test order, therapeutic change (2)

23.5%

20.3% (14.9% to 25.7%)

McDonald 1980

overall compliance rate with reminders (denominator: reminders)

 

18.6%

 

McDonald 1984

overall compliance rate with reminders

percentage of patients with: FOBT, pap smear, chest roentgenogram, pneumo vacc, tuberculosis skin test, serum potassium, mammogram, flu vacc, diet, digitalis, antacids, β‐blockers (12)

20.0%

13.0% (10.5% to 24.5%)

McPhee 1989_1

 

physician compliance rate with: FOBT, rectal exam, sigmoidoscopy, pap smear, pelvic exam, breast exam, mammography (7)

 

23.0% (20.0% to 33.0%)

McPhee 1989_2

 

physician compliance rate with:  breast exam, mammography (2)

 

23.2% (20.0% to 26.5%)

Morgan 1978

 

percentage of patients with: blood group and type, syphilis serology, prenatal counseling, pregnancy diet counseling, sickle cell preparation (5)

 

0.1% (‐1.9% to 2.0%)

Nilasena 1995

overall physician compliance rate with reminders

 

3.9%

 

Ornstein 1991_1

 

percentage of eligible patients with: FOBT, mammography, tetanus vacc, cholesterol, pap smear (5)

 

4.4% (3.9% to 6.9%)

Ornstein 1991_2

 

percentage of eligible patients with: FOBT, mammography, tetanus vacc, cholesterol, pap smear (5)

 

6.1% (3.9% to 7.0%)

Rosser 1991

overall compliance rate

percentage of eligible patients with: flu vacc, tetanus vacc, BP reading, pap smear (4)

19.2%

11.4% (6.0% to 16.4%)

Rossi 1997

percentage of eligible patients with prescription change

 

11.0%

 

Thomas 1983

compliance rate with reminders

 

12.9%

 

Tierney 1986_1

 

physician compliance rate with: FOBT, pneumo vacc, antacids, TB skin testing, β‐blockers, nitrates, anti‐depressants, calcium supplements, pap smear, mammography, metronidazole, digitalis, salicylates (13)

 

1.5% (0.5% to 11.0%)

Tierney 1986_2

 

physician compliance rate with: FOBT, pneumo vacc, antacids, TB skin testing, β‐blockers, nitrates, anti‐depressants, calcium supplements, pap smear, mammography, metronidazole, digitalis, salicylates (13)

 

1.0% (‐0.5% to 2.0%)

Turner 1989

 

physician compliance rate with: FOBT, rectal exam, pap smear, breast exam, mammography (5)

 

3.6% (‐5.8% to 10.1%)

Were 2013

completion of overdue clinical tasks (denominator: reminders)

completion of overdue clinical task for: ordering chest x‐ray, ordering 18‐mo human immunodeficiency virus enzyme‐linked immunosorbent assay, ordering other laboratory tests, beginning antiretroviral therapy, referring to nutritional support (5)

50.0%

39.0% (26.0% to 54.0%)

White 1984

compliance rate with reminders (denominator: reminders)

 

12.0%

 

Ziemer 2006_1

physician compliance rate

 

0.2%

 

Ziemer 2006_2

physician compliance rate

 

0.7%

 

ACE: angiotensin‐converting enzyme, ARB: angiotensin II receptor blockers, BP: blood pressure, flu: influenza, FOBT: fecal occult blood test, pneumo: pneumococcal, TB: tuberculosis, Vacc: vaccination

Figuras y tablas -
Table 1. Improvement rates of quality of care, by study
Table 2. Median improvement of quality of care across all comparisons and according to the presence of co‐interventions

Median improvement (interquartile range)

Using primary (or median) outcome

Using largest outcome

Using smallest outcome

All (n = 40)

6.8%

(3.8% to 17.5%)

12.0%

(6.1% to 20.2%)

4.0%

(0.5% to 11.3%)

Reminders alone (n = 27)

11.0%

(5.4% to 20.0%)

12.3%

(7.0% to 33.5%)

6.1%

(1.2% to 12.9%)

Reminders with co‐intervention(s) (n = 13)

4.0%

(3.0% to 6.0%)

9.8%

(3.9% to 12.5%)

0.7%

(‐1.9% to 3.6%)

Figuras y tablas -
Table 2. Median improvement of quality of care across all comparisons and according to the presence of co‐interventions
Table 3. Improvement of patient outcomes, by study

Study ID

Patient outcome: percentage difference between groups at follow‐up

Patient outcome: mean difference between groups at follow‐up

Barnett 1983

Percentage of patients with BP<100 or receiving treatment at 12 mo: 18.1%

Gilutz 2009

Event‐free survival: ‐2.1%

LDL level: ‐2.4 mg/dL

Heidenreich 2005

Mortality: hazard ratio: 0.98 (95% CI: 0.78 to 1.23)

Diastolic BP: 0

Systolic BP: 0

McAlister 2009

Mortality: 1%

Rossi 1997

Diastolic BP: ‐4

Systolic BP: 0

Ziemer 2006_1

Percentage of patients with Hba1c<7.0%: OR: 0.98 (95% CI: 0.86 to 1.12)

Percentage of patients with systolic BP<130: OR: 1.04 (95% CI: 0.94 to 1.16)

Percentage of patients with LDL<100: OR 0.92 (95% CI: 0.79 to 1.08)

Hba1c: 0.1

Systolic BP: ‐1.2

LDL level: 2.5 mg/dL

Ziemer 2006_2

Percentage of patients with Hba1c<7.0%: OR: 0.99 (95% CI: 0.82 to 1.19)

Percentage of patients with systolic BP<130: OR: 0.92 (95% CI: 0.79 to 1.06)

Percentage of patients with LDL<100: OR 1.05 (95% CI: 0.84 to 1.31)

Hba1c: 0.4

Systolic BP: 0.8

LDL level: 3.0 mg/dL

BP: blood pressure, Hba1c: glycated hemoglobin, LDL: low‐density lipoprotein, mo: months

Figuras y tablas -
Table 3. Improvement of patient outcomes, by study