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Intervenciones con teléfonos móviles para mejorar la adherencia a la medicación prescrita para la prevención primaria de las enfermedades cardiovasculares en adultos

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Referencias

Referencias de los estudios incluidos en esta revisión

Bobrow 2016 {published and unpublished data}

Bobrow K, Brennan T, Springer D, Levitt NS, Rayner B, Namane M, et al. Efficacy of a text messaging (SMS) based intervention for adults with hypertension: protocol for the StAR (SMS Text‐message Adherence suppoRt trial) randomised controlled trial. BMC Public Health 2014;14:28. [DOI: dx.doi.org/10.1186/1471‐2458‐14‐28]CENTRAL
Bobrow K, Farmer AJ, Springer D, Shanyinde M, Yu LM, Brennan T, et al. Mobile phone text messages to support treatment adherence in adults with high blood pressure (SMS‐Text Adherence Support [StAR]): a single‐blind, randomized trial. Circulation 2016;133(6):592‐600. [DOI: dx.doi.org/10.1161/CIRCULATIONAHA.115.017530]CENTRAL
Galal U. Efficacy of a text messaging (SMS) based intervention for adults with hypertension: the *StAR (SMS Text‐message AdheRence Support) randomised controlled trial (unpublished data: results of cardiology history at screening) [personal communication]. Email to: M Palmer (LSHTM, London, UK) 19 April 2018. CENTRAL
NCT02019823. Effectiveness of SMS‐text message support for patients with hypertension to improve blood pressure (*StAR). clinicaltrials.gov/ct2/show/NCT02019823 Date first received: 24 December 2013. CENTRAL

Liu 2015 {published data only (unpublished sought but not used)}

ChiCTR‐TRC‐13003831. Study of community‐based prevention and control pattern on hypertension and diabetes for adults in Guanddong Province. www.chictr.org.cn/hvshowproject.aspx?id=7953 Date last refreshed on: 21 October 2013. CENTRAL
Liu Z, Chen S, Zhang G, Lin A. Mobile phone‐based lifestyle intervention for reducing overall cardiovascular disease risk in Guangzhou, China: a pilot study. International Journal of Environmental Research & Public Health 2015;12(12):15993‐6004. [DOI: dx.doi.org/10.3390/ijerph121215037]CENTRAL

Logan 2012 {published data only (unpublished sought but not used)}

Logan AG, Irvine MJ, McIsaac WJ, Tisler A, Rossos PG, Easty A, et al. Effect of home blood pressure telemonitoring with self‐care support on uncontrolled systolic hypertension in diabetics. Hypertension 2012;60(1):51‐7. [DOI: dx.doi.org/10.1161/HYPERTENSIONAHA.111.188409]CENTRAL
NCT00717665. Self‐monitoring of blood pressure in primary care. clinicaltrials.gov/ct2/show/NCT00717665 Date first received: 17 July 2008. CENTRAL

Parraga‐Martinez 2017 {published data only (unpublished sought but not used)}

NCT02314663. Effectiveness of a combined strategy to improve therapeutic compliance and degree of control among patients with hypercholesterolaemia (EFESCOM). clinicaltrials.gov/ct2/show/NCT02314663 Date first received: 11 December 2014. CENTRAL
Parraga‐Martinez I, Rabanales‐Sotos J, Lago‐Deibe F, Tellez‐Lapeira JM, Escobar‐Rabadan F, Villena‐Ferrer A, et al. Effectiveness of a combined strategy to improve therapeutic compliance and degree of control among patients with hypercholesterolaemia: a randomised clinical trial. BMC Cardiovascular Disorders 2015;15:8. [DOI: doi.org/10.1186/1471‐2261‐15‐8]CENTRAL
Párraga‐Martínez I, Escobar‐Rabadán F, Rabanales‐Sotos J, Lago‐Deibe F, Téllez‐Lapeira JM, Villena‐Ferrer A, et al. Efficacy of a combined strategy to improve low‐density lipoprotein cholesterol control among patients with hypercholesterolemia: a randomized clinical trial [Eficacia de una estrategia combinada para mejorar el control del colesterol unido a lipoproteínas de baja densidad en pacientes con hipercolesterolemia. Ensayo clínico aleatorizado]. Revista Española de Cardiología 2018;71(1):33‐41. CENTRAL

Referencias de los estudios excluidos de esta revisión

Bosworth 2007 {published data only}

Bosworth HB, Olsen MK, McCant F, Harrelson M, Gentry P, Rose C, et al. Hypertension Intervention Nurse Telemedicine Study (HINTS): testing a multifactorial tailored behavioral/educational and a medication management intervention for blood pressure control. American Heart Journal 2007;153(6):918‐24. [DOI: 10.1016/j.ahj.2007.03.004]CENTRAL
Maciejewski ML, Bosworth HB, Olsen MK, Smith VA, Edelman D, Powers BJ, et al. Do the benefits of participation in a hypertension self‐management trial persist after patients resume usual care?. Circulation. Cardiovascular Quality and Outcomes 2014;7(2):269‐75. [DOI: 10.1161/CIRCOUTCOMES.113.000309]CENTRAL
Wang V, Smith VA, Bosworth HB, Oddone EZ, Olsen MK, McCant F, et al. Economic evaluation of telephone self‐management interventions for blood pressure control. American Heart Journal 2012;163(6):980‐6. [DOI: 10.1016/j.ahj.2012.03.016]CENTRAL

Bove 2011 {published data only}

Bove AA, Santamore WP, Homko C, Kashem A, Cross R, McConnell TR, et al. Reducing cardiovascular disease risk in medically underserved urban and rural communities. American Heart Journal 2011;16(2):351‐9. [DOI: 10.1016/j.ahj.2010.11.008]CENTRAL

Broekhuizen 2010 {published data only}

Broekhuizen K, van Poppel MN, Koppes LL, Brug J, van Mechelen W. A tailored lifestyle intervention to reduce the cardiovascular disease risk of individuals with familial hypercholesterolemia (FH): design of the PRO‐FIT randomised controlled trial. BMC Public Health 2010;10:69. [DOI: doi.org/10.1186/1471‐2458‐10‐69]CENTRAL

Derose 2013 {published data only}

Derose SF, Green K, Marrett E, Tunceli K, Cheetham TC, Chiu VY, et al. Automated outreach to increase primary adherence to cholesterol‐lowering medications. JAMA Internal Medicine 2013;173(1):38‐43. [DOI: 10.1001/2013.jamainternmed.717]CENTRAL

Finkelstein 2009 {published data only}

Finkelstein J, Cha E. Hypertension telemanagement in blacks. Circulation. Cardiovascular Quality and Outcomes 2009;2(3):272‐8. [DOI: 10.1161/CIRCOUTCOMES.109.849968]CENTRAL

Fischer 2014 {published data only}

Fischer MA, Choudhry NK, Bykov K, Brill G, Bopp G, Wurst AM, et al. Pharmacy‐based interventions to reduce primary medication nonadherence to cardiovascular medications. Medical Care 2014;52(12):1050‐4. [DOI: 10.1097/MLR.0000000000000247]CENTRAL

Gerin 2007 {published data only}

Gerin W, Tobin JN, Schwartz JE, Chaplin W, Rieckmann N, Davidson KW, et al. The medication Adherence and Blood Pressure Control (ABC) trial: a multi‐site randomized controlled trial in a hypertensive, multi‐cultural, economically disadvantaged population. Contemporary Clinical Trials 2007;28(4):459‐71. [DOI: 10.1016/j.cct.2007.01.003]CENTRAL

Golshahi 2015 {published data only}

Golshahi J, Ahmadzadeh H, Sadeghi M, Mohammadifard N, Pourmoghaddas A. Effect of self‐care education on lifestyle modification, medication adherence and blood pressure in hypertensive adults: randomized controlled clinical trial. Advanced Biomedical Research 2015;4:204. [DOI: 10.4103/2277‐9175.166140]CENTRAL

Johnson 2000 {published data only}

Johnson BF, Hamilton G, Fink J, Lucey G, Bennet N, Lew R. A design for testing interventions to improve adherence within a hypertension clinical trial. Controlled clinical trials 2000;21(1):62‐72. [DOI: doi.org/10.1016/S0197‐2456(99)00049‐5]CENTRAL

Kooy 2013 {published data only}

Kooy MJ, van Wijk BL, Heerdink ER, de Boer A, Bouvy ML. Does the use of an electronic reminder device with or without counseling improve adherence to lipid‐lowering treatment? The results of a randomized controlled trial. Frontiers in Pharmacology 2013;4:69. [DOI: 10.3389/fphar.2013.00069]CENTRAL

Margolis 2012 {published data only}

Margolis KL, Asche SE, Bergdall AR, Dehmer SP, Groen SE, Kadrmas HM, et al. Effect of home blood pressure telemonitoring and pharmacist management on blood pressure control: a cluster randomized clinical trial. Journal of the American Medical Association 2013;310(1):46‐56. [DOI: 10.1001/jama.2013.6549.]CENTRAL
Margolis KL, Asche SE, Bergdall AR, Dehmer SP, Maciosek MV, Nyboer RA, et al. A successful multifaceted trial to improve hypertension control in primary care: why did it work?. Journal of General Internal Medicine 2015;30(11):1665‐72. [DOI: 10.1007/s11606‐015‐3355‐x]CENTRAL
Margolis KL, Kerby TJ, Asche SE, Bergdall AR, Maciosek MV, O'Connor PJ, et al. Design and rationale for home blood pressure telemonitoring and case management to control hypertension (HyperLink): a cluster randomized trial. Contemporary Clinical Trials 2012;33(4):794‐803. [DOI: 10.1016/j.cct.2012.03.014]CENTRAL

McGillicuddy 2015 {published data only}

McGillicuddy JW, Taber DJ, Mueller M, Patel S, Baliga PK, Chavin KD, et al. Sustainability of improvements in medication adherence through a mobile health intervention. Progress in Transplantation 2015;25(3):217‐23. [DOI: 10.7182/pit2015975]CENTRAL

McManus 2010 {published data only}

Bray EP, Jones MI, Banting M, Greenfield S, Hobbs FD, Little P, et al. Performance and persistence of a blood pressure self‐management intervention: telemonitoring and self‐management in hypertension (TASMINH2) trial. Journal of Human Hypertension 2015;29(7):436‐41. [DOI: 10.1038/jhh.2014.108]CENTRAL
Kaambwa B, Bryan S, Jowett S, Mant J, Bray EP, Hobbs FD, et al. Telemonitoring and self‐management in the control of hypertension (TASMINH2): a cost‐effectiveness analysis. European Journal of Preventive Cardiology 2014;21(12):1517‐30. [DOI: 10.1177/2047487313501886]CENTRAL
Kaambwa B, Bryan S, Mant J, Bray EP, Holder R, Jones M, et al. Randomised controlled trial of telemonitoring and self management in the control of hypertension: telemonitoring and self management in hypertension (TASMINH2): economic analysis. Journal of Hypertension 2010;28:e281‐2. [DOI: 10.1097/01.hjh.0000379032.42848.de]CENTRAL
McManus RJ, Bray EP, Mant J, Holder R, Greenfield S, Bryan S, et al. Protocol for a randomised controlled trial of telemonitoring and self‐management in the control of hypertension: telemonitoring and self‐management in hypertension. BMC Cardiovascular Disorders 2009;9:6. [DOI: 10.1186/1471‐2261‐9‐6]CENTRAL
McManus RJ, Mant J, Bray EP, Holder R, Jones MI, Greenfield S, et al. Telemonitoring and self‐management in the control of hypertension (TASMINH2): a randomised controlled trial. Lancet 2010;376(9736):163‐72. [DOI: doi.org/10.1016/S0140‐6736(10)60964‐6]CENTRAL

Neafsey 2011 {published data only}

Neafsey PJ, M'lan CE, Ge M, Walsh SJ, Lin CA, Anderson E. Reducing adverse self‐medication behaviors in older adults with hypertension: results of an e‐health clinical efficacy trial. Ageing International 2011;36(2):159‐91. [DOI: 10.1007/s12126‐010‐9085‐9]CENTRAL

O'Connor 2014 {published data only}

O'Connor PJ, Schmittdiel JA, Pathak RD, Harris RI, Newton KM, Ohnsorg KA, et al. Randomized trial of telephone outreach to improve medication adherence and metabolic control in adults with diabetes. Diabetes Care 2014;37(12):3317‐24. [DOI: 10.2337/dc14‐0596]CENTRAL

Olorun 2014 {published data only}

Olorun OJ, Afolabi MO, Oyebisi TO, Ogunsina AO, Akintomide AO, Adebayo RA. Exploring medicine information needs of hypertensive patients using short message service. British Journal of Medicine & Medical Research 2014;4(34):5368‐80. CENTRAL

Parati 2013 {published data only}

Parati G, Omboni S, Compare A, Grossi E, Callus E, Venco A, et al. Blood pressure control and treatment adherence in hypertensive patients with metabolic syndrome: protocol of a randomized controlled study based on home blood pressure telemonitoring vs. conventional management and assessment of psychological determinants of adherence (TELEBPMET Study). Trials 2013;14:22. [DOI: 10.1186/1745‐6215‐14‐22]CENTRAL

Richard 2016 {published data only}

Richard E, Jongstra S, Soininen H, Brayne C, Moll van Charante EP, Meiller Y, et al. Healthy Ageing Through Internet Counselling in the Elderly: the HATICE randomised controlled trial for the prevention of cardiovascular disease and cognitive impairment. BMJ Open 2016;6(6):e010806. [DOI: 10.1136/bmjopen‐2015‐010806]CENTRAL

Salisbury 2016 {published data only}

Salisbury C, O'Cathain A, Thomas C, Edwards L, Gaunt D, Dixon P, et al. Telehealth for patients at high risk of cardiovascular disease: pragmatic randomised controlled trial. BMJ 2016;353:i2647. [DOI: 10.1136/bmj.i2647]CENTRAL
Thomas CL, Man MS, O'Cathain A, Hollinghurst S, Large S, Edwards L, et al. Effectiveness and cost‐effectiveness of a telehealth intervention to support the management of long‐term conditions: study protocol for two linked randomized controlled trials. Trials 2014;24(15):36. [DOI: 10.1186/1745‐6215‐15‐36]CENTRAL

Vollmer 2014 {published data only}

Vollmer WM, Owen‐Smith AA, Tom JO, Laws R, Ditmer DG, Smith DH, et al. Improving adherence to cardiovascular disease medications with information technology. American Journal of Managed Care 2014;20(11 Spec No. 17):SP502‐10. CENTRAL

Wakefield 2011 {published data only}

Wakefield BJ, Holman JE, Ray A, Scherubel M, Adams MR, Hillis SL, et al. Effectiveness of home telehealth in comorbid diabetes and hypertension: a randomized, controlled trial. Telemedicine and e‐Health 2011;17(4):254‐61. [DOI: 10.1089/tmj.2010.0176]CENTRAL

Wald 2014 {published data only}

Wald DS, Bestwick JP, Raiman L, Brendell R, Wald NJ. Randomised trial of text messaging on adherence to cardiovascular preventive treatment (INTERACT trial). PloS One 2014;9(12):e114268. [DOI: 10.1371/journal.pone.0114268]CENTRAL

Warren 2012 {published data only}

Warren J, Kennelly J, Warren D, Elley CR, Wai KC, Manukia M, et al. Using the general practice EMR for improving blood pressure medication adherence. Studies in Health Technology and Informatics 2012;178:228‐34. [DOI: 10.3233/978‐1‐61499‐078‐9‐228]CENTRAL

Choudhry 2016 {published data only}

Choudhry NK, Isaac T, Lauffenburger JC, Gopalakrishnan C, Khan NF, Lee M, et al. Rationale and design of the Study of a Tele‐pharmacy Intervention for Chronic diseases to Improve Treatment adherence (STIC2IT): a cluster‐randomized pragmatic trial. American Heart Journal 2016;180:90‐7. [DOI: dx.doi.org/10.1016/j.ahj.2016.07.017]CENTRAL
NCT02512276. Tele‐Pharmacy Intervention to Improve Treatment Adherence (STIC2IT). clinicaltrials.gov/ct2/show/NCT02512276 Date first received: 30 July 2015. CENTRAL

Franssen 2017 {published data only}

Franssen M, Farmer A, Grant S, Greenfield S, Heneghan C, Hobbs R, et al. Telemonitoring and/or self‐monitoring of blood pressure in hypertension (TASMINH4): protocol for a randomised controlled trial. BMC Cardiovascular Disorders 2017;17(1):58. [DOI: dx.doi.org/10.1186/s12872‐017‐0494‐5]CENTRAL

Gulayin 2017 {published data only}

Gulayin P, Irazola V, Lozada A, Chaparro M, Santero M, Gutierrez L, et al. Educational intervention to improve effectiveness in treatment and control of patients with high cardiovascular risk in low‐resource settings in Argentina: study protocol of a cluster randomised controlled trial. BMJ Open 2017;7(1):e014420. [DOI: dx.doi.org/10.1136/bmjopen‐2016‐014420]CENTRAL

Jha 2017 {published data only}

Jha D, Gupta P, Ajay VS, Jindal D, Perel P, Prieto‐Merino D, et al. Protocol for the mWellcare trial: a multicentre, cluster randomised, 12‐month, controlled trial to compare the effectiveness of mWellcare, an mHealth system for an integrated management of patients with hypertension and diabetes, versus enhanced usual care in India. BMJ Open 2017;7(8):e014851. [DOI: 10.1136/bmjopen‐2016‐014851]CENTRAL
NCT02480062. mWELLCARE: an integrated mHealth system for the prevention and care of chronic disease (mWELLCARE). clinicaltrials.gov/ct2/show/NCT02480062 Date first received: 24 June 2015. CENTRAL

Redfern 2014 {published data only}

Redfern J, Usherwood T, Harris MF, Rodgers A, Hayman N, Panaretto K, et al. A randomised controlled trial of a consumer‐focused e‐health strategy for cardiovascular risk management in primary care: the CONsumer Navigation of Electronic Cardiovascular Tools (CONNECT) study protocol. BMJ Open 2014;4(2):e004523. [DOI: dx.doi.org/10.1136/bmjopen‐2013‐004523]CENTRAL

Xu 2017 {published data only}

Xu L, Fang W, Zhu F, Zhang H, Liu K. A coordinated PCP‐Cardiologist Telemedicine Model (PCTM) in China's community hypertension care: study protocol for a randomized controlled trial. Trials 2017;18(1):236. [DOI: 10.1186/s13063‐017‐1970‐z]CENTRAL

Adler 2017

Adler AJ, Martin N, Mariani J, Tajer CD, Serrano NC, Owolabi OO, et al. Mobile phone text messaging to improve medication adherence in secondary prevention of cardiovascular disease. Cochrane Database of Systematic Reviews 2017, Issue 4. [DOI: 10.1002/14651858.CD011851.pub2]

Anglada‐Martinez 2015

Anglada‐Martinez H, Riu‐Viladoms G, Martin‐Conde M, Rovira‐Illamola M, Sotoca‐Momblona JM, Codina‐Jane C. Does mHealth increase adherence to medication? Results of a systematic review. International Journal of Clinical Practice 2015;69(1):9‐32.

Bobrow 2014

Bobrow K, Brennan T, Springer D, Levitt NS, Rayner B, Namane M, et al. Efficacy of a text messaging (SMS) based intervention for adults with hypertension: protocol for the StAR (SMS Text‐message Adherence suppoRt trial) randomised controlled trial. BMC Public Health 2014;14:28. [DOI: 10.1186/1471‐2458‐14‐28]

Caird 2014

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Carrasco 2008

Carrasco MP, Salvador CH, Sagredo PG, Márquez‐Montes J, González de Mingo MA, Fragua JA, et al. Impact of patient‐general practitioner short‐messages‐based interaction on the control of hypertension in a follow‐up service for low‐to‐medium risk hypertensive patients: a randomized controlled trial. IEEE Transactions on Information Technology in Biomedicine 2008;12(6):780‐91. [DOI: 10.1109/TITB.2008.926429]

Chowdhury 2013

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da Costa 2012

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Farmer 2016

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Smith 2015

Smith C, Ngo TD, Gold J, Edwards P, Vannak U, Sokhey L, et al. Effect of a mobile phone‐based intervention on post‐abortion contraception: a randomized controlled trial in Cambodia. Bulletin of the World Health Organization 2015;93(12):842‐50A.

USPSTF 2014

US Preventive Services Task Force. The guide to clinical preventive services: recommendations of the U.S. Preventive Services Task Force, 2014. www.uspreventiveservicestaskforce.org/Page/Name/tools‐and‐resources‐for‐better‐preventive‐care (accessed 11 April 2017).

Vermeire 2001

Vermeire E, Hearnshaw H, Van Royen P, Denekens J. Patient adherence to treatment: three decades of research. A comprehensive review. Journal of Clinical Pharmacy and Therapeutics 2001;26(5):331‐42.

Vinogradova 2016

Vinogradova Y, Coupland C, Brindle P, Hippisley‐Cox J. Discontinuation and restarting in patients on statin treatment: prospective open cohort study using a primary care database. BMJ 2016;353:i3305. [DOI: doi.org/10.1136/bmj.i3305]

WHO 2003

World Health Organization. Adherence to long‐term therapies: evidence for action, 2003. www.who.int/chp/knowledge/publications/adherence_report/en/ (accessed 15 February 2017).

WHO 2007

World Health Organization. Prevention of cardiovascular disease: guidelines for assessment and management of cardiovascular risk, 2007. www.who.int/cardiovascular_diseases/publications/Prevention_of_Cardiovascular_Disease/en/ (accessed 15 February 2017).

WHO 2011

World Health Organization. Global Atlas on Cardiovascular Disease Prevention and Control, 2011. www.who.int/cardiovascular_diseases/publications/atlas_cvd/en/ (accessed 15 February 2017).

WHO 2016

World Health Organization. Cardiovascular diseases (CVDs) fact sheet N° 317, 2016. www.who.int/mediacentre/factsheets/fs317/en/ (accessed 24 May 2017).

World Bank 2017

World Bank. World Development Indicators 2017. Washington, DC: World Bank. License: Creative Commons Attribution CC BY 3.0 IGO. openknowledge.worldbank.org/handle/10986/26447 (accessed 30 May 2017).

Yoo 2009

Yoo HJ, Park MS, Kim TN, Yang SJ, Cho GJ, Hwang TG, et al. A Ubiquitous Chronic Disease Care system using cellular phones and the internet. Diabetic Medicine 2009;26(6):628‐35. [DOI: 10.1111/j.1464‐5491.2009.02732.x.]

Referencias de otras versiones publicadas de esta revisión

Palmer 2017

Palmer MJ, Barnard S, Perel P, Free C. Mobile phone‐based interventions for improving adherence to medication prescribed for the primary prevention of cardiovascular disease in adults. Cochrane Database of Systematic Reviews 2017, Issue 5. [DOI: 10.1002/14651858.CD012675]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Bobrow 2016

Methods

Design: 3‐arm, parallel RCT

Setting: outpatient chronic disease services in a public sector clinic, Cape Town, South Africa

Duration of study: 12 months

Participants

Number randomised: 1372; group 1 (control): 457; group 2 (informational SMS): 457; group 3 (interactive SMS): 458

Number lost to follow‐up/withdrawn: 176; group 1: 61 (reasons: 3 died; 2 pregnant; 14 lost contact; 12 moved; 25 unable to attend; 5 reason not given); group 2: 51 (reasons: 7 died; 2 pregnant; 7 lost contact; 11 moved; 23 unable to attend; 1 reason not given); group 3: 64 (reasons: 7 died; 5 pregnant; 2 participant decision; 7 lost contact; 14 moved; 29 unable to attend)

Number analysed: 1372; group 1: 457; group 2: 457; group 3: 458 (intention‐to‐treat analysis using all data available)

Mean age in years (SD): group 1: 54.7 (SD 11.6); group 2: 53.9 (SD 11.2); group 3: 54.2 (SD 11.6)

Age range: not stated

Gender (% women): group 1: 72; group 2: 72; group 3: 72

Proportion meeting criteria of 'primary prevention': 78.3% (unpublished information received from authors)

Proportion prescribed medication for prevention of CVD: 100%; prescribed BP‐lowering medication was an inclusion criterion.

Inclusion criteria: aged ≥ 21 years, diagnosed with hypertension by a clinician using local guidelines, prescribed BP‐lowering medication, and with SBP < 220 mmHg and a DBP < 120 mmHg at enrolment. Eligible participants were attending the primary care clinic, resided in 1 of the 2 study communities and had regular access to a mobile phone (and were able to send SMS text messages or could do so with help of a relative).

Study enrolled only 1 member per household.

Exclusion criteria: requiring specialist care for hypertension at a hospital (in secondary care), women who self‐reported being pregnant or within 3 months postpartum, and people with very high BPs (SBP > 220 mmHg or DBP > 120 mmHg) who had symptoms suggestive of a hypertensive emergency or were otherwise acutely unwell (who were directly referred to the appropriate clinical service).

Interventions

Intervention: all participants received written information about hypertension and continued to receive care from the clinic.

Group 2: 'informational SMS texting:' participants received: text messages to motivate collecting and taking medicines and to provide education about hypertension and its treatment. The messages were designed to address a range of common issues with adherence to and persistence with treatment. Additional reminders were sent when medicines were ready for collection or for scheduled clinic appointments.

Group 3: 'interactive SMS texting' group: participants received: the same messages as the information‐only group but could also respond to selected messages using free‐to‐user "please call me" requests. These generated an automated series of responses from the text message delivery system offering trial participants a number of options, including cancelling or changing an appointment and changing the timing and language of the text messages. The intervention was specifically designed to primarily focus on medication adherence, with only a few references other lifestyle modifications such as diet and physical exercise.

Comparison: control group (group 1) received written information about hypertension and healthy living and continued to receive care from the clinic. The control group only received the texts sent to all trial participants, which were sent no more frequently than 1 text every 4 weeks. The messages were a welcome text, a text confirming enrolment, a text on a birthday and other text messages about participation in the trial.

How intervention was developed: the researchers iteratively designed, developed and tested 2 SMS text messaging‐based interventions with clinical staff and participants with high BP working and living in low‐income communities around Cape Town.

Behaviour change technique(s) employed: 16 in total: problem solving; goal setting; action planning; review of behavioural goals; behavioural contract; commitment; general social support; practical social support; emotional social support; providing information about health consequences; emphasising salience of consequences; anticipated regret; behavioural rehearsal; behavioural substitution; habit formation; generalisation of target behaviour.

Personalised intervention: some texts were personalised to include participants' first or chose name. Information provided not personalised, but reminders of when medications were available for collection and dates of next appointment indicates some personalisation. Additionally, the 'interactive SMS texting' group (group 3) could request further interactions.

Frequency and duration of intervention receipt: messages sent weekly at a time selected by participant. Intervention duration: 12 months

Outcomes

Primary outcomes: SBP (mean); proportion of participants achieving a mean SBP < 140 mmHg and a mean DBP < 90 mmHg. Measured at 12 months' postrandomisation

Secondary outcomes: medication adherence: 'proportion of days of medication covered' (the proportion of participants with ≥ 80% of days covered with BP‐lowering medication from prescribing and dispensing data routinely recorded in the clinical record, pharmacy record and Chronic Dispensing Unit record); self‐reported adherence to medication using a visual analogue scale (score range, 5–10); health status measured with the EuroQol Group 5‐Dimension Self‐Report Questionnaire; self‐reported satisfaction with treatment.

Process outcomes: knowledge about hypertension was measured, but not reported in trial paper.

Adverse events: protocol stated recording of those which might reasonably occur as a consequence of the trial and adverse events that might be reasonably related to text messaging including hand or finger pain, or involvement in an accident as a result of sending or receiving a text.

Notes

Funding source: trial supported by the Oxford Centre of Excellence in Medical Engineering funded by the Wellcome Trust and the Engineering and Physical Sciences Research Council. Dr Farmer is a senior NIHR investigator, and Drs Farmer and Tarassenko are supported by funding from the NIHR Oxford Biomedical Research Center. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

Conflicts of interest: none declared

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote: "participants are randomised using a secure, remote, web‐based computer schedule within one week of recruitment [...] minimisation procedure [was] overseen by an independent statistician."

Allocation concealment (selection bias)

Low risk

Quote: "A software algorithm assigned participants independently of the research team."

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Participants cannot be blinded due to nature of intervention. However, "research staff and clinic staff remain blind to the allocated treatment group."

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Quote: "Researchers and clinicians were not aware of randomization assignment, were trained not to ask patients about the content of messages."

Incomplete outcome data (attrition bias)
All outcomes

Low risk

87% follow‐up rate, no evidence of differential follow‐up, ITT analysis accounting for missing data.

Selective reporting (reporting bias)

Unclear risk

Outcomes reported as planned in protocol (the only outcome reported in protocol that was not reported in trial paper was 'hypertension' knowledge). However, this trial began recruiting in June 2012, but details of the protocol were not registered until December 2013. Therefore, we could not be certain what was planned before the trial commenced.

Other bias

Low risk

Funded by charity and research council.

Liu 2015

Methods

Design: 2‐arm, parallel RCT

Setting: employees of work units (places of employment) who had been allocated to have a medical examination at the health management centre of a hospital in Guangzhou, China.

Duration of study: 1 year

Participants

Number randomised: 589; intervention: 238; control: 351

Number lost to follow‐up/withdrawn: 162 (intervention: 75; reasons: not stated; control: 87; reasons: not stated)

Number analysed: 589, intervention: 238; control: 351 (missing data imputed)

Mean age in years (SD): intervention: 58.7 (SD 8.9), control: 61.8 (SD 8.8)

Age range: not stated

Gender (% women): intervention: 41.6; control: 41.9

Proportion meeting criteria of 'primary prevention': 100%; inclusion criteria included having no known CVD.

Proportion prescribed medication for prevention of CVD: not reported. Authors contacted for further information and the data for those prescribed medication, but we received no response.

Inclusion criteria: aged 45–75 years, without known CVD, willing to participate in the programme

Exclusion criteria: history of mental abnormalities; difficulty in communication, such as reading or answering the questionnaire; unable to understand the aim of this study; currently participating in another clinical trial or had done so within the previous 6 months

Interventions

Intervention: participants in the intervention group received a computerised CVD risk evaluation, follow‐up phone calls and text messages targeting reducing the CVD risk in addition to the usual medical examination. The plan included guidance of healthy lifestyle, improvement targets for risk factors and drug treatment goals for those being treated. Participants also received a 15‐minute face‐to‐face counselling with a trained field health worker when they enrolled to the study.

Comparison: participants in the control group received the annual medical examination with a usual medical report. This report included the results of physical examination and the normal values of the indicators.

How intervention was developed: authors stated, "we developed a mobile phone‐based intervention program to reduce CVD risk, which was assessed by the Chinese cardiovascular disease risk assessment method."

Behaviour change technique(s) employed: 7 in total: problem solving; commitment; feedback on behaviour; instruction on how to perform behaviour; providing information about health consequences; emphasising salience of consequences

Personalised intervention: yes; individualised electronic health prescription software (IEHPS) calculated participants' overall risk of CVD in the next 10 years which informed participants individualised intervention plan.

Frequency and duration of intervention receipt: frequency of phone calls and text messages depended on participants’ individual 10‐year CVD risk. Phone calls (length 5–8 minutes) ranged from twice a month to once a week, text messages ranged from once a month to once a week. Duration: 1 year

Outcomes

Primary outcomes: LDL‐C, TC, HDL‐C, SBP, DBP. All measured at 1‐year postrandomisation. Medical outcomes were presented for entire sample, which included participants not taking medication for primary prevention of CVD. We have contacted authors requested trial data for those participants taking medication for primary prevention of CVD.

Secondary outcomes: none reported.

Process outcomes: none recorded.

Adverse events: none recorded.

Notes

Funding source: Guangdong Provincial Department of Science and Technology (grant No. 2009A030301003) and the Bureau of Health of Guangzhou Municipality (grant No. 2008‐ZDa‐05)

Conflicts of interest: none declared

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote: "The randomization was done via a computerized procedure."

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Quote: "Neither participants nor investigators were masked to group assignment."

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Assessments by medical students; not stated whether they were blinded.

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Quote: "27.5% of participants failed to attend the follow‐up. Participants who were lost to follow‐up were more likely to be younger, male, current smokers and have a higher level of TC than those who were included in the follow‐up."

Selective reporting (reporting bias)

Unclear risk

Protocol not found. Trial appeared to have been registered after recruitment began in October 2012 (www.chictr.org.cn/hvshowproject.aspx?id=7953).

Other bias

Low risk

Funded by government body

Logan 2012

Methods

Design: 2‐arm, parallel RCT

Setting: clinics in metropolitan Toronto, Canada

Duration of study: 1 year

Participants

Number randomised: 110; intervention: 55; control: 55

Number lost to follow‐up/withdrawn: 6; intervention group: 2 (reasons: 2 refused BP assessment); control group: 4 (reasons: 3 refused BP assessment; 1 died)

Number analysed: 105; intervention group: 54; control group: 51

Mean age in years (SD): intervention group: 62.7 (SD 7.8); control group: 63.1 (SD 9.0)

Age range: not stated

Gender (% women): intervention group: 51; control group: 38

Proportion meeting criteria of 'primary prevention': intervention group: 79.9%; control group: 78.1%. Paper reported proportion with prior CVD event by CVD event, possible that the same participants had > 1 type of event, therefore percentage stated was minimum estimate of participants meeting criteria of primary prevention.

Proportion prescribed medication for prevention of CVD: hypertensive drugs: intervention group: 89.1%; control group: 89.1%; lipid‐lowering drugs: intervention group: 69.1%; control group: 70.9%; aspirin: intervention group: 54.5%; control group: 58.2%. We contacted authors to request data for those prescribed medication, but had no response.

Inclusion criteria: aged ≥ 30 years, with diabetes mellitus, with uncontrolled systolic hypertension, defined as a mean daytime SBP of ≥ 130 mmHg on ambulatory BP monitoring.

Exclusion criteria: those with severe or end‐stage organ disease (liver, kidney, heart and lung), history of diabetic ketoacidosis, any illness with expected survival < 1 year, severe cognitive impairment, mental illness or disability, clinically significant cardiac arrhythmia, symptomatic orthostatic hypotension, or were pregnant, unsuitable for participation in the opinion of their primary care physician or not fluent in English.

Interventions

Intervention: participants received custom software application running on a BlackBerry smartphone (Research In Motion, Inc, Waterloo, ON, Canada) that was paired with a Bluetooth‐enabled home BP monitoring device. BP readings were automatically transmitted by the smartphone to application servers, which processed the information for trends and applied decisions rules. The reporting and alerting component of the system sent a self‐care message to the screen of the participant's smartphone immediately after each reading. Messages related to the control of hypertension were based on care paths defined by running means of transmitted readings. On the day before the clinic visit to their physician, participants called a dedicated telephone number to initiate the automated process to fax a 1‐page participant summary report to their physician. Self‐care support participants were taught how to use the telemonitoring system, review past readings on their smartphone and the study‐specific website (these activities were optional), and generate a 1‐page participant summary report. They were instructed to take their smartphone to all doctor visits.

Comparison: participants in both groups were taught how to measure their BP correctly, instructed to measure their BP 2 days per week twice in the morning and twice in the evening, provided with a validated home BP monitoring device with appropriate‐sized upper arm cuff, and given a booklet with detailed information on the self‐measurement of BP, treatment of hypertension and goals of therapy. Their primary care physician was given an outline of the study's objectives and BP treatment goal, asked to provide relevant medical information and given a copy of the 24‐hour ambulatory BP monitoring report. In both groups, treatment decisions, including medication adjustments and changes in lifestyle, were made by the participant's primary care physician. The control group did not received feedback via smartphone.

How intervention was developed: system developed using an iterative process based on feedback from users. A pilot study was undertaken to assess the system's effectiveness in improving BP control in people with diabetes with uncontrolled hypertension, its acceptability to users and the reliability of home BP measurements.

Behaviour change technique(s) employed: 3 in total: feedback on behaviour, self‐monitoring, prompts.

Personalised intervention: information sent via smartphone was personalised in that it was based on participants' own BP readings.

Frequency and duration of intervention receipt: participants were instructed to measure their BP 2 days per week twice in the morning and twice in the evening, and a self‐care message was sent to the participant's smartphone immediately after each reading. Duration: 1 year.

Outcomes

Primary outcomes: mean ambulatory SBP and DBP; proportion achieving guideline recommended target of BP < 130/80 mmHg. Measured at 1 year' postrandomisation. The medical outcomes are presented for entire sample, which included participants not taking medication for primary prevention of CVD. We contacted authors requesting trial data for those participants taking medication for primary prevention of CVD, but had no response.

Secondary outcomes: none reported.

Process outcomes: adherence rate with home BP measurement schedule (% taking a minimum of 8 readings per week).

Adverse events: none recorded.

Notes

Funding source: the Heart and Stroke Foundation of Ontario (ESA 5970) was the sole source of funding for this project and was not involved in any aspect of the study.

Conflicts of interest: JAC received funding from Research In Motion, Inc. (makers of the Blackberry mobile telephones) through the National Science and Engineering Research Council Strategic Network Grant Program. PGR received reimbursement of expenses from Research In Motion, Inc., to attend a healthcare advisory meeting.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Quote: "Group allocation schedule was based on blocks of 4 and 6 patients randomly arranged and administered by a person not directly involved in the study."

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Participants cannot be blinded due to nature of intervention. Unclear whether personnel were blinded.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not described

Incomplete outcome data (attrition bias)
All outcomes

Low risk

> 90% follow‐up, no evidence of differential follow‐up

Selective reporting (reporting bias)

Unclear risk

According to trial registry entry (clinicaltrials.gov/ct2/show/NCT00717665), the trial was registered after the first participant was randomised.

Other bias

Low risk

Funded by charitable body

Parraga‐Martinez 2017

Methods

Design: 2‐arm, parallel RCT

Setting: primary care clinics in 3 health districts of 3 Spanish autonomous communities: Castile‐La Mancha (Albacete), Aragon (Zaragoza) and Galicia (Vigo), Spain

Duration of study: 24 months

Participants

Number randomised: 358; intervention group: 179; control group: 179

Number lost to follow‐up/withdrawn: 54 (intervention group: 24 (reasons: 14 withdrew consent; 2 discontinued due to change of residence; 2 discontinued due to disease; 1 discontinued due to other reasons; 5 protocol violation); control group: 30 (reasons: 17 withdrew consent; 1 discontinued due to change of residence; 3 discontinued due to disease; 3 discontinued due to other reasons; 6 protocol violation)

Number analysed: 304; intervention group: 155; control group: 149

Mean age in years (SD): intervention group: 58.9 (SD 10.4); control group: 59.3 (SD 8.4)

Age range: not stated

Gender (% women): intervention group: 56.1; control group: 53.7

Proportion meeting criteria of 'primary prevention': total: 93.1%; intervention group: 91.0%; control group: 95.3%

Proportion prescribed medication for prevention of CVD: only statin use stated; total 68.1%; intervention group: 64.5%; control group: 71.8%). We contacted authors requesting trial data for those participants taking medication for primary prevention of CVD, but had no response.

Inclusion criteria: aged ≥18 years, previously diagnosed with defined hypercholesterolaemia (TC ≥ 250 mg/dL) who were receiving standard treatment (drug‐based or not) and attending the participating centres.

Exclusion criteria: unable to undergo follow‐up during the intervention (due to illiteracy or lack of a mobile telephone), had a physical disability impeding participation, or had a severe organic or psychiatric chronic disease precluding follow‐up.

Interventions

Intervention: participants received the following: written information on the disease and its treatment (provided at each visit); mobile telephone text messages with summaries of recommendations, reminders of dates of next appointments and notifications of new appointments if any previous ones were missed (during between‐visit periods); and self‐completed registration cards on adherence to recommendations (during the entire follow‐up). Intervention group also received the standard recommendations of the European clinical practice guidelines for treatment of hypercholesterolaemia and cardiovascular risk. The intervention targeted lifestyle modifications, including healthy diet and physical activity, alongside medication adherence for those prescribed CVD medication.

Comparison: participants received the standard recommendations of the European clinical practice guidelines for treatment of hypercholesterolaemia and CVR.

How intervention was developed: not stated

Behaviour change technique(s) employed: 6 in total: feedback on behaviour; self‐monitoring; instruction on how to perform behaviour; providing information about health consequences; emphasising salience of consequences; prompts

Personalised intervention: information provided not personalised, but reminders of dates of next appointment indicates some personalisation.

Frequency and duration of intervention receipt: the disease treatment reminders were sent every 15 days, whereas the attendance reminders for upcoming or missed appointments were sent according to the follow‐up date. Intervention duration: 24 months (although not clear if this relates to all components of the intervention).

Outcomes

Primary outcomes: LDL‐C; TC; HDL‐C; SBP; DBP. All measured 2 years' postrandomisation. The medical outcomes are presented for entire sample, which includes participants not taking medication for primary prevention of CVD. We contacted authors requesting trial data for those participants taking medication for primary prevention of CVD, but had no response. Cardiovascular events in the observation period stated in protocol, but not reported in trial results.

Secondary outcomes: self‐report adherence to lipid‐lowering therapy (measured using the Morisky‐Green Test) at 2 years' postrandomisation

Process outcomes: satisfaction with intervention (measured using a Likert scale satisfaction questionnaire) at 2 years' postrandomisation

Adverse events: adverse effects of statins; intervention‐related adverse effects

Notes

Funding source: funding from the Instituto de Salud Carlos III and the Health Research Project Subprogram of the European Regional Development Fund (PI12/01955), resolution 20 December 2012

Conflicts of interest: none declared.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote: "participant randomization was centrally performed according to health care region (Efron randomization) by a researcher who was not involved in the interviews or analysis."

Allocation concealment (selection bias)

Unclear risk

Allocation of area was concealed; however, once areas were allocated, participants were allocated according to their area. It is not clear whether recruiting staff may have known to which area the participants belonged and therefore to which group they would be randomised.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Participants cannot be blinded due to nature of intervention. However, report states "results were evaluated in a blinded manner."

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated whether outcome measurements were taken by blinded personnel.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up rate of 85% and no evidence of differential follow‐up.

Selective reporting (reporting bias)

Unclear risk

Outcomes reported as planned in protocol, with the exception of cardiovascular events occurring in the trial period which were stated in protocol but not included in trial report.

Other bias

Low risk

Funding from government body

BP: blood pressure; CVD: cardiovascular disease; DBP: diastolic blood pressure; HDL‐C: high‐density lipoprotein cholesterol; ITT: intention to treat; LDL‐C: low‐density lipoprotein cholesterol; NIHR: National Institute for Health Research; RCT: randomised controlled trial; SBP: systolic blood pressure; SD: standard deviation; SMS: short messaging service; TC: total cholesterol.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Bosworth 2007

No mobile phone specific intervention delivery

Bove 2011

No mobile phone‐specific intervention delivery

Broekhuizen 2010

No mobile phone‐specific intervention delivery

Derose 2013

No mobile phone‐specific intervention delivery

Finkelstein 2009

No mobile phone‐specific intervention delivery

Fischer 2014

No mobile phone‐specific intervention delivery

Gerin 2007

No mobile phone‐specific intervention delivery

Golshahi 2015

Follow‐up < 12 months

Johnson 2000

No mobile phone‐specific intervention delivery

Kooy 2013

No mobile phone‐specific intervention delivery

Margolis 2012

No mobile phone‐specific intervention delivery

McGillicuddy 2015

Kidney transplant recipient population

McManus 2010

No mobile phone‐specific intervention delivery

Neafsey 2011

No mobile phone‐specific intervention delivery

O'Connor 2014

No mobile phone‐specific intervention delivery

Olorun 2014

Not a randomised controlled trial

Parati 2013

No mobile phone‐specific intervention delivery

Richard 2016

No mobile phone‐specific intervention delivery

Salisbury 2016

No mobile phone‐specific intervention delivery

Vollmer 2014

No mobile phone‐specific intervention delivery

Wakefield 2011

No mobile phone‐specific intervention delivery

Wald 2014

Follow‐up < 12 months

Warren 2012

No mobile phone‐specific intervention delivery

Characteristics of ongoing studies [ordered by study ID]

Choudhry 2016

Trial name or title

Rationale and design of the Study of a Tele‐pharmacy Intervention for Chronic diseases to Improve Treatment adherence (STIC2IT): a cluster randomized pragmatic trial

Methods

Design: 2‐arm, cluster RCT

Setting: Harvard Vanguard Medical Associates (medical practice), MA, USA

Participants

Expected: 4076

Inclusion criteria: aged 18–85 years; filled and poorly adherent (defined as a PDC < 80%) to medication for hyperlipidaemia, hypertension or diabetes; suboptimal mean adherence to all of the qualifying medications that a participant has filled (defined as combined (mean of means) PDC < 80%); for people with hypertension or diabetes, poor or worsening disease control (according to relevant clinical targets)

Exclusion criteria: < 6 months of continuous enrolment in the health plan; no available contact information

Interventions

Intervention: brief telephonic consultation with a clinical pharmacist using behavioural interviewing techniques tailored to participant's level of health activation and progress reports of medication taking and disease control. Based on the barriers identified during the initial telephone consultation, participants will be offered more intensive support including reminder and motivational text messages, video visits and pill boxes.

Control group: usual care

Outcomes

Primary outcome: medication adherence at 12 months (mean PDC for medications to treat eligible conditions)

Secondary outcomes: disease control at 12 months (proportion of participants achieving good disease control for all eligible conditions); disease control at 12 months (proportion of participants achieving good disease control for ≥ 1 eligible condition); healthcare utilisation at 12 months (rates of resource utilisation)

Starting date

August 2015

Contact information

Niteesh K Choudhry, MD, PhD; Niteesh K Choudhry, MD, PhD, Associate Professor, Harvard Medical School, Brigham and Women's Hospital

Notes

ClinicalTrials.gov, NCT02512276

Franssen 2017

Trial name or title

Telemonitoring and/or self‐monitoring of blood pressure in hypertension (TASMINH4): protocol for a randomised controlled trial

Methods

Design: 3‐arm, parallel RCT

Setting: UK. 144 practices recruited from the following NIHR Clinical Research Networks: Thames Valley, West Midlands, East of England, West of England, Kent Surrey and Sussex, North West Coast, North West London.

Participants

Expected: 1010

Inclusion criteria: willing and able to give informed consent for participation in the trial; men or women, aged ≥ 35 years; on practice hypertension register, not already taking > 3 antihypertensive agents and above clinic target BP (i.e. = 140/90 mmHg) at baseline (mean of 2nd/3rd readings); stable dose of current antihypertensive medication for ≥ 4 weeks prior to trial entry; in the Investigator's opinion, is able and willing to comply with all trial requirements or has a carer able to help sufficiently (e.g. in the case of physical issues with self‐monitoring); willing to allow his or her GP to be notified of participation in the trial

Exclusion criteria: BP below target at baseline (i.e. < 140/90 mmHg on clinic measurement at baseline visit); already taking > 3 antihypertensive agents; orthostatic hypotension: > 20 mmHg SBP drop after standing for 1 minute; diagnosed atrial fibrillation; unwilling to self‐monitor; BP managed outside of primary care (including secondary hypertension); unable to provide consent; dementia or score > 10 on the short orientation memory concentration test (and with no carer support); women pregnant, lactating or planning pregnancy during the course of the trial; partner or spouse of an individual already randomised in the trial; CKD Grade 4 or worse, any grade of CKD with proteinuria; any other significant disease or disorder which, in the opinion of the Investigator, may either put the participants at risk because of participation in the trial, or may influence the result of the trial, or the participants ability to participate in the trial (e.g. terminal illness, house bound and unable to attend baseline and follow‐up clinics); participants who have participated in another research trial involving an antihypertensive medication in the past 4 weeks.

Interventions

Intervention:Group 1: self‐monitoring alone: participants will monitor their BP twice each morning and evening (i.e. 4 times in all) for the 1st week of each month. A paper record sheet will be used for communication between paticipant and healthcare professionals in the self‐monitoring alone group. GPs and nurses will be advised to calculate the mean self‐monitored BP and to use this to titrate antihypertensive medication.

Group 2: telemonitoring: the frequency of self‐monitoring will be identical to the self‐monitoring alone group but BP readings will be transmitted to a secure centralised database from which the GP/nurse can review the records. Readings will be transmitted by free SMS text message. A mean BP will be automatically calculated. High or low readings will trigger alerts to paticipant to contact their surgery for a BP check. GPs and nurses will be advised to use the mean self‐monitored BP to titrate antihypertensive medication.

Control: usual care: usual care guided by clinic BP measured by the GP/practice nurse without further instruction.

Outcomes

Primary outcome: SBP (mean of 2nd and 3rd BP readings) at 12 months

Secondary outcomes: SBP and DBP at 6 and 12 months; costs, health sector resource use, and acceptability at 12 months; MARS adherence questionnaires and prescribing data at 12 months; questionnaire data on lifestyle factors at 12 months; comparison between trial outcome data and that from clinical databases at 12 months

Starting date

1 September 2014

Contact information

Richard McManus: [email protected]

Nuffield Department of Primary Care, Oxford University, Oxford, UK

Notes

Trial identifier: ISRCTN 83571366

Gulayin 2017

Trial name or title

Educational intervention to improve effectiveness in treatment and control of patients with high cardiovascular risk in low‐resource settings in Argentina: study protocol of a cluster randomised controlled trial

Methods

Design: 2‐arm, cluster RCT

Setting: 10 public PCCs (low‐resource settings) in Argentina

Participants

Expected: 357

Inclusion criteria (for PCCs): clinic is affiliated with the Remediar programme; clinic located in a poor urban area according to 2010 census data; clinic has ≥ 800 outpatient adult visits each month (to ensure recruitment of enough participants); physician visits and statins are available free‐of‐charge to participants at the point of care; minimum distance between PCCs is 10 km (different catchment area) and they do not share health professionals (to minimise intervention bias); good performance of the PCCs (and their pharmacy) according to the reports of Remediar programme.

Inclusion criteria (for participants): aged ≥ 40 years and < 75 years who have received primary care at the participating PCCs with ≥ 1 of the following criteria: arteriosclerotic CVD (defined as acute coronary syndrome; history of myocardial infarction, stable or unstable angina, coronary revascularisation, stroke or transient ischaemic attack presumed to be of atherosclerotic origin or revascularisation); or high CVD risk according to the WHO charts adapted by the National MoH (estimated 10‐year CVD risk ≥ 20%); or LDL‐C level ≥190 mg/dL; or type 2 diabetes

Exclusion criteria: statin treatment; pregnant women; bed‐bound people; unable to give informed consent; history of end‐stage chronic kidney disease treated with dialysis, HIV/AIDS, alcohol or drug abuse, or active tuberculosis

Interventions

Intervention: multi‐faceted educational intervention targeting physicians and pharmacist assistants to improve detection, treatment and control of hypercholesterolaemia among uninsured participants with moderate‐high cardiovascular risk in Argentina. Physicians belonging to the PCC randomised to the intervention group receive a 3‐component intervention: education workshop, educational outreach visits and a mHealth application uploaded to their smartphones. In addition, 2 intervention support tools are used at the intervention clinics: 1. a web‐based platform that is tailored to send SMS messages for lifestyle modification, and prompts and reminders for clinic appointments are used to improve medication adherence for participants; 2. on‐site training to pharmacist assistants at the first educational outreach visit is given by physician trainers focused on counselling to improve medication adherence among participants initiating statin therapy and at each participant visit to the clinic to refill drug prescriptions.

Control: usual care

Outcomes

Primary outcome: cholesterol level (net change in LDL‐C levels from baseline to month 12 between intervention and usual care groups among all study participants)

Secondary outcomes: global cardiovascular risk at 1 year (net change in 10‐year‐CVD Framingham risk score before and after the implementation of the programme); clinical practice guidelines compliance at 1 year (proportion of participants with high CVD risk who are on statins, and are receiving an appropriate dose according to the clinical practice guideline); cholesterol reduction at 1 year (proportion of participants with moderate‐high CVD risk who have reduced their LDL‐C by 30%, and by 50%); treatment compliance at 1 year (level of treatment adherence evaluated through questionnaire; costs of the intervention (cost‐effectiveness of the intervention programme)

Starting date

April 2015

Contact information

Adolfo Rubinstein, MD, MSc, PhD

Institute for Clinical Effectiveness and Health Policy; [email protected]

Notes

ClinicalTrials.gov, NCT02380911

Jha 2017

Trial name or title

mWellcare trial: a multi‐centre, cluster randomised, 12‐month, controlled trial to compare the effectiveness of mWellcare, an mHealth system for an integrated management of patients with hypertension and diabetes, versus enhanced usual care in India

Methods

Design: 2‐arm, cluster RCT

Setting: India (1 southern state and 1 northern state), 40 community health centres

Participants

Recruited: 3702

Inclusion criteria: participants aged ≥ 30 years intending to reside in the catchment area of community health centres for at least next 12 months. Participants were included if they were diagnosed case of hypertension with BP measuring ≥140/90  mmHg or type 2 diabetes mellitus with fasting blood sugar ≥ 140  mg/dL or postprandial blood sugar ≥ 200 mg/dL and if they provided informed consent

Exclusion criteria: pregnant women, type 1 diabetes, requiring immediate referral to tertiary care due to accelerated hypertension or diabetic complications, learning difficulties or vision or hearing impairments (or a combination of these), malignancy or life‐threatening disease with death probable in 4 years and not residing in the catchment area of the community health centre

Interventions

Intervention: nurses and physicians will provide treatment and follow‐up using mWellcare. mWellcare system is an Android‐based mobile application designed to generate algorithm‐based clinical management prompts for treating hypertension and diabetes and also capable of storing health records. The system also sends SMS reminders for adherence to medication and follow‐up visits to participants.

Control: enhanced care arm. Nurse and physicians are provided 'refresher' training on the clinical management guidelines for hypertension and diabetes. Charts on management of these conditions are provided to the facilities for prominent display at the outpatient department. Physicians in the enhanced care arm provide the management plan based on their assessment of clinical parameters of the participants. Nurse provides lifestyle advice brochure (in local language) and explains the same to each participant.

Outcomes

Primary outcomes: difference in mean change (from baseline to 1 year) in SBP; difference in mean change (from baseline to 1 year) HbA1c

Secondary outcomes: difference in mean change (from baseline to 1 year) of fasting plasma glucose, TC and predicted 10‐year risk of CVD using recalibrated Framingham risk score; differences in risk factors such as depression/anxiety, smoking behaviour, BMI and alcohol uses; comparison of costs associated with delivering the mWellcare intervention arm with respect to enhanced care

Starting date

April 2016

Contact information

Dr Dorairaj Prabhakaran; [email protected]

Notes

Clinicaltrial.gov, NCT02480062

Redfern 2014

Trial name or title

A randomised controlled trial of a consumer‐focused e‐health strategy for cardiovascular risk management in primary care: the Consumer Navigation of Electronic Cardiovascular Tools (CONNECT)

Methods

Design: 2‐arm, parallel RCT

Setting: 65 Australian General Practices and Aboriginal Community Controlled Health Services

Participants

Expected: 2000

Inclusion criteria: consenting adults (> 18 years) with access to the Internet at least once a month via mobile phone, tablet or computer who are at moderate‐to‐high risk of a CVD event will be included.

Moderate‐to‐high CVD risk is defined as any of the following: 1. 5‐year CVD risk ≥ 10% using the Framingham risk equation; 2. a clinically high‐risk condition (Aboriginal/Torres Strait Islander and aged > 75 years, diabetes and age > 60 years, diabetes and albuminuria, epidermal growth factor receptor 7.5 mmol); 3. an established CVD diagnosis (ischaemic heart disease, stroke/transient ischaemic attack and peripheral vascular disease)

Exclusion criteria: severe intellectual disability or if they have insufficient English knowledge to provide written informed consent.

Interventions

Intervention: CONNECT programme, a consumer‐focused e‐health strategy aimed at assisting with the management and prevention of CVD in addition to usual care. Programme components focus on cardiovascular risk assessment, medication adherence, lifestyle change and seamless patient‐provider communication.

Control group: usual healthcare. No access to the portal; however, at the end of study, all participants (control and intervention) will be offered portal access for a maximum of 12 months

Outcomes

Primary outcome: proportion of participants meeting the Australian guideline BP and lipid targets; BP 140/90 mmHg for all except those with CVD, diabetes or albuminuria for whom the target BP is 130/80 mmHg.

Secondary outcomes: proportion meeting guideline‐recommended BP and LDL‐C targets separately; difference in mean SBP and DBP at the end of study; difference in mean cholesterol levels at end of study (TC, LDL‐C and HDL‐C); difference in mean BMI and waist circumference at the end of study; difference in health literacy scores (HLQ51 and the eHEALS52) at end of study; cardiovascular and renal events, new onset diabetes ‐ self report and confirmed with medical records; physical activity ‐ WHO Global Physical Activity Questionnaire; point abstinence in smoking (≤ 5 cigarettes in the previous 7 days or recent smoking according to assessment using carbon monoxide meter); fruit and vegetable intake, fish, salt and saturated fat intake ‐ self‐report portions consumed in 7 days prior and compared with published guidelines recommendations; cardioprotective medication adherence ‐ self‐report and verified by medical record and pharmaceutical benefits scheme data; all‐cause mortality ‐ medical record; hospital readmissions ‐ self‐report and verified by medical record; health‐related quality of life ‐ EQ5D (version 5L with Australian standardised weights)

Starting date

17 October 2014

Contact information

Dr Julie Redfern; [email protected]

Notes

Clinical Trials registration number ACTRN12613000715774.

Xu 2017

Trial name or title

A coordinated PCP‐Cardiologist Telemedicine Model (PCTM) in China’s community hypertension care: study protocol for a randomized controlled trial

Methods

Design: 3‐arm, parallel RCT

Setting: 4 CHCsin XuHui District in Shanghai, China

Participants

Expected: 330

Inclusion criteria: aged ≥ 21 years; clinical diagnosis of hypertension with uncontrolled BP in the previous 3 months, currently taking or about to take antihypertensive medications; received high school or above level of education; active user of smartphone (Android or Apple) and mobile Apps; mean of 3 BP measurements during the screening visit at the CHC ≥ 140/90 mmHg, or ≥ 130/80 mmHg if the person has diabetes or renal diseases; being able to give informed consent

Exclusion criteria: acute coronary syndrome; heart failure; cardiac arrhythmia; stroke within the past 3 months; renal failure; cancer; dementia, severe or acute psychiatric illness; pregnancy or intention to be pregnant in the next 18 months; hospitalisation within 3 months; participation in another clinical trial; arm circumference > 32 cm that may affect the accuracy of BP measurement due to cuff size limit of the telemonitors and unwillingness to comply with the 12‐month intervention duration

Interventions

Intervention:Group 1: 'Self‐management' (BP telemonitor and App‐based self‐management supports; patient proficiency training)

Group 2: 'PCTM intervention' (BP telemonitor and App‐based self‐management supports; patient proficiency training; PCP and cardiologist training of using Web‐based analytics; proactive and interactive care by PCPs and cardiologists)

Control group: management by PCPs at the registered CHCs as usual

Outcomes

Primary outcome: changes in mean SBP from baseline to 12 months measured using the BP telemonitor (Bliss BL928). The 12‐month BP readings will be determined by taking the mean of 3 BP measurements at the follow‐up visit to the CHC.

Secondary outcomes: changes in mean DBP from baseline to 12 months; hypertension control rate from baseline to 6 and 12 months; hypertension control rate defined as BP < 140/90 mmHg or < 130/80 mmHg (people with diabetes or renal diseases) following the national guidelines; changes in measures related to hypertension complications (HbA1c, BMI and lipid levels) from baseline to 6 and 12 months; antihypertensive medication adherence at baseline and 12 months assessed by self‐report, 8‐item Morisky Medication Adherence Scale modified to focus on BP drugs

Starting date

September 2016

Contact information

Contact: Lei Xu, Master; +86‐21‐32260806; [email protected]

Contact: Kai Liu, Doctor; +86‐18918656956; [email protected]

Notes

ClinicalTrials.gov, NCT02919033

BMI: body mass index; BP: blood pressure; CHC: community healthcare centre; CKD: Chronic Kidney Disease; CVD: cardiovascular disease; DBP: diastolic blood pressure; GP: general practitioner; HbA1c: glycated haemoglobin; HDL‐C: high‐density lipoprotein cholesterol; LDL‐C: low‐density lipoprotein cholesterol; MARS: Medication Adherence Report Scale; mHealth: mobile health; MoH: Minister of Health; NIHR: National Institute for Health Research; PCC: primary care centre; PCP: primary care physician; PDC: proportion of days covered; RCT: randomised controlled trial; SBP: systolic blood pressure; SMS: short messaging service; TC: total cholesterol; WHO: World Health Organization.

Data and analyses

Open in table viewer
Comparison 1. Mobile phone intervention versus control

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Change in low‐density lipoprotein cholesterol (mg/dL) Show forest plot

2

Mean Difference (Fixed, 95% CI)

Totals not selected

Analysis 1.1

Comparison 1 Mobile phone intervention versus control, Outcome 1 Change in low‐density lipoprotein cholesterol (mg/dL).

Comparison 1 Mobile phone intervention versus control, Outcome 1 Change in low‐density lipoprotein cholesterol (mg/dL).

2 Change in total cholesterol (mg/dL) Show forest plot

2

Mean Difference (Fixed, 95% CI)

Totals not selected

Analysis 1.2

Comparison 1 Mobile phone intervention versus control, Outcome 2 Change in total cholesterol (mg/dL).

Comparison 1 Mobile phone intervention versus control, Outcome 2 Change in total cholesterol (mg/dL).

3 Change in high‐density lipoprotein cholesterol (mg/dL) Show forest plot

2

Mean Difference (Fixed, 95% CI)

Totals not selected

Analysis 1.3

Comparison 1 Mobile phone intervention versus control, Outcome 3 Change in high‐density lipoprotein cholesterol (mg/dL).

Comparison 1 Mobile phone intervention versus control, Outcome 3 Change in high‐density lipoprotein cholesterol (mg/dL).

4 Change in systolic blood pressure (mmHg) Show forest plot

4

Mean Difference (Fixed, 95% CI)

Totals not selected

Analysis 1.4

Comparison 1 Mobile phone intervention versus control, Outcome 4 Change in systolic blood pressure (mmHg).

Comparison 1 Mobile phone intervention versus control, Outcome 4 Change in systolic blood pressure (mmHg).

5 Change in diastolic blood pressure (mmHg) Show forest plot

3

Mean Difference (Fixed, 95% CI)

Totals not selected

Analysis 1.5

Comparison 1 Mobile phone intervention versus control, Outcome 5 Change in diastolic blood pressure (mmHg).

Comparison 1 Mobile phone intervention versus control, Outcome 5 Change in diastolic blood pressure (mmHg).

Study flow diagram.
Figuras y tablas -
Figure 1

Study flow diagram.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figuras y tablas -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figuras y tablas -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Comparison 1 Mobile phone intervention versus control, Outcome 1 Change in low‐density lipoprotein cholesterol (mg/dL).
Figuras y tablas -
Analysis 1.1

Comparison 1 Mobile phone intervention versus control, Outcome 1 Change in low‐density lipoprotein cholesterol (mg/dL).

Comparison 1 Mobile phone intervention versus control, Outcome 2 Change in total cholesterol (mg/dL).
Figuras y tablas -
Analysis 1.2

Comparison 1 Mobile phone intervention versus control, Outcome 2 Change in total cholesterol (mg/dL).

Comparison 1 Mobile phone intervention versus control, Outcome 3 Change in high‐density lipoprotein cholesterol (mg/dL).
Figuras y tablas -
Analysis 1.3

Comparison 1 Mobile phone intervention versus control, Outcome 3 Change in high‐density lipoprotein cholesterol (mg/dL).

Comparison 1 Mobile phone intervention versus control, Outcome 4 Change in systolic blood pressure (mmHg).
Figuras y tablas -
Analysis 1.4

Comparison 1 Mobile phone intervention versus control, Outcome 4 Change in systolic blood pressure (mmHg).

Comparison 1 Mobile phone intervention versus control, Outcome 5 Change in diastolic blood pressure (mmHg).
Figuras y tablas -
Analysis 1.5

Comparison 1 Mobile phone intervention versus control, Outcome 5 Change in diastolic blood pressure (mmHg).

Summary of findings for the main comparison. Mobile phone interventions compared to usual care for improving adherence to medication prescribed for primary prevention of cardiovascular disease

Mobile phone interventions compared to usual care for improving adherence to medication prescribed for primary prevention of cardiovascular disease

Patient or population: people prescribed medication for primary prevention of cardiovascular disease
Setting: community‐based primary care or outpatient clinics in high‐income (Canada, Spain) and upper‐ to middle‐income countries (South Africa, China)
Intervention: mobile phone‐based interventions
Comparison: usual care

Outcomes

Impact

№ of participants
(studies)

Quality of the evidence
(GRADE)

Cholesterol (low‐density lipoprotein)
follow‐up: range 1–2 years

1 study found evidence of a small beneficial intervention effect on reducing LDL‐C (–9.20 mg/dL), and 1 study found a very small increase in LDL‐C (0.77 mg/dL) with wide confidence intervals that included no effect.

893
(2 RCTs)

⊕⊕⊝⊝
Lowa,b

Systolic blood pressure
follow‐up: range 1–2 years

3 of the 4 studies found lower systolic blood pressure with mobile phone interventions, but the size of effect varied. 2 studies showed moderate and large reductions in systolic blood pressure (–7.10 and –12.45 mmHg). 1 multi‐arm trial found small reductions with information‐only text messages (–2.1) and interactive text messaging (–1.6 mmHg) arms. 1 study found a slight increase in blood pressure (0.83 mmHg) but with wide confidence intervals that included no effect.

2194
(4 RCTs)

⊕⊕⊝⊝
Lowa,b

Diastolic blood pressure
follow‐up: range 1–2 years

2 of 3 studies found lower diastolic blood pressure with mobile phone interventions, but the size of the effect varied. 2 studies showed large and small reductions in diastolic blood pressure (–12.23 and –3.90 mmHg), and 1 study found a slight increase in diastolic blood pressure (1.64 mmHg) but with wide confidence intervals that included no effect.

998
(3 RCTs)

⊕⊕⊝⊝

Lowa,b

Combined CVD events

Not reported

(0 studies)

Adverse events
follow‐up: range 1–2 years

1 study reported that there were 0 adverse events attributable to the intervention. 1 study report that there was no difference between groups in experience adverse effects of statins, and that 0 participants reported intervention‐related adverse events.

1500
(2 RCTs)

⊕⊕⊝⊝
Lowb,c

Cognitive outcome: satisfaction with treatment
follow‐up: mean 1 year

1 study measured satisfaction with treatment, and found no evidence of a difference between intervention and control arms.

1190
(1 RCT)

⊕⊕⊝⊝
Lowd,e

LDL‐C: low‐density lipoprotein cholesterol; RCT: randomised controlled trial.

GRADE Working Group grades of evidence
High quality: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

aDowngraded one level for inconsistency: trial results included large variations in the degree to which the outcome was affected.

bDowngraded one level for risk of bias: all trials at unclear risk of bias on multiple domains.

cDowngraded one level for imprecision: very low number of events.

dDowngraded one level for indirectness: based on a single trial conducted in a single setting (public sector clinic in Cape Town, South Africa).

eDowngraded one level for risk of bias: trial at unclear risk of bias on two domains.

Figuras y tablas -
Summary of findings for the main comparison. Mobile phone interventions compared to usual care for improving adherence to medication prescribed for primary prevention of cardiovascular disease
Table 1. Indirect measures of adherence

Trial

Outcome measure

Comparison

Intervention

Number (intervention)

Control

Number (Control)

Narrative results

Bobrow 2016

(1‐year follow‐up)

Proportion of days covered by dispensed medicine

Information‐only SMS vs control

83.3% (95% CI 69.3 to 91.7)

457

79.2% (95% CI 64.6 to 91.4)

458

Median difference 5.2, quartiles 1‐3: 1.5 to 8.9; P = 0.006

Interactive SMS vs control

83.3% (95% CI 66.7 to 91.7)

457

79.2% (95% CI 64.6 to 91.4)

458

Median difference 3.8; quartiles 1‐3: 0.03 to 7.6; P = 0.048

Proportion of participants with proportion of days covered ≥ 80%

Information‐only SMS vs control

63%

457

49.4%

458

Adjusted odds ratio 1.86, 95% CI 1.39 to 2.49; P < 0.001

Interactive SMS vs control

60%

457

49.4%

458

Adjusted odds ratio 1.60, 95% CI 1.20 to 2.16; P = 0.002

Self‐reported medication adherence (score range 5–10)

Information‐only SMS vs control

10 (quartiles 1‐3: 9 to 10)

457

10 (quartiles 1‐3: 9 to 10)

458

Median difference 0.04, 95% CI –0.1 to 0.2; P = 0.70

Interactive SMS vs control

10 (quartiles 1‐3: 9 to 10)

457

10 (quartiles 1‐3: 9 to 10)

458

Median difference 0.02, 95% CI –0.2 to 0.2; P = 0.80

Parraga‐Martinez 2017

(2‐year follow‐up)

Proportion adherent according to self‐reported medication adherence (measured using 'adapted Morisky‐Green test')

77.2%

Disaggregated not reported

64.1%

Disaggregated not reported

P = 0.029

220 in total, not reported by group

CI: confidence interval; SMS: short messaging service.

Figuras y tablas -
Table 1. Indirect measures of adherence
Comparison 1. Mobile phone intervention versus control

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Change in low‐density lipoprotein cholesterol (mg/dL) Show forest plot

2

Mean Difference (Fixed, 95% CI)

Totals not selected

2 Change in total cholesterol (mg/dL) Show forest plot

2

Mean Difference (Fixed, 95% CI)

Totals not selected

3 Change in high‐density lipoprotein cholesterol (mg/dL) Show forest plot

2

Mean Difference (Fixed, 95% CI)

Totals not selected

4 Change in systolic blood pressure (mmHg) Show forest plot

4

Mean Difference (Fixed, 95% CI)

Totals not selected

5 Change in diastolic blood pressure (mmHg) Show forest plot

3

Mean Difference (Fixed, 95% CI)

Totals not selected

Figuras y tablas -
Comparison 1. Mobile phone intervention versus control