Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials
Tài liệu tham khảo
Murray, 2020, Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019, Lancet, 396, 1223, 10.1016/S0140-6736(20)30752-2
Gaziano, 2009, The global cost of nonoptimal blood pressure, J Hypertens, 27, 1472, 10.1097/HJH.0b013e32832a9ba3
Schwarz, 2018, Blood sugar regulation for cardiovascular health promotion and disease prevention: JACC health promotion series, J Am Coll Cardiol, 72, 1829, 10.1016/j.jacc.2018.07.081
Unger, 2020, 2020 International Society of Hypertension global hypertension practice guidelines, Hypertension, 75, 1334, 10.1161/HYPERTENSIONAHA.120.15026
Shahaj, 2019, Supporting self-management for people with hypertension: a meta-review of quantitative and qualitative systematic reviews, J Hypertens, 37, 264, 10.1097/HJH.0000000000001867
Tam, 2021, Effectiveness of text messaging interventions on blood pressure control among patients with hypertension: systematic review of randomized controlled trials, JMIR Mhealth Uhealth, 9, 10.2196/24527
Jamshidnezhad, 2019, The effects of smartphone applications on patients self-care with hypertension: a systematic review study, Acta Inform Med, 27, 263, 10.5455/aim.2019.27.263-267
Mileski, 2017, Adopting telemedicine for the self-management of hypertension: systematic review, JMIR Med Inform, 5, e41, 10.2196/medinform.6603
Mechanic, 2020, Telehealth systems
Omboni, 2020, Evidence and recommendations on the use of telemedicine for the management of arterial hypertension: an international expert position paper, Hypertension, 76, 1368, 10.1161/HYPERTENSIONAHA.120.15873
Nguyen, 2021, Impact of asynchronous electronic communication-based visits on clinical outcomes and health care delivery: systematic review, J Med Internet Res, 23, 10.2196/27531
Chen, 2022, The impact of synchronous telehealth services with a digital platform on day-by-day home blood pressure variability in patients with cardiovascular diseases: retrospective cohort study, J Med Internet Res, 24, 10.2196/22957
McLean, 2016, Digital interventions to promote self-management in adults with hypertension systematic review and meta-analysis, J Hypertens, 34, 600, 10.1097/HJH.0000000000000859
Page, 2021, The PRISMA 2020 statement: an updated guideline for reporting systematic reviews, BMJ, 372, n71, 10.1136/bmj.n71
Moschonis, 2023, Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials, Lancet Digit Health, 5, e144, 10.1016/S2589-7500(23)00002-X
Dicianno, 2015, Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation, Phys Ther, 95, 397, 10.2522/ptj.20130534
Higgins
Sterne, 2019, RoB 2: a revised tool for assessing risk of bias in randomised trials, BMJ, 366
DerSimonian, 1986, Meta-analysis in clinical trials, Contr Clin Trials, 7, 177, 10.1016/0197-2456(86)90046-2
Cochran, 1950, The comparison of percentages in matched samples, Biometrika, 37, 256, 10.1093/biomet/37.3-4.256
Higgins, 2003, Measuring inconsistency in meta-analyses, BMJ, 327, 10.1136/bmj.327.7414.557
Guyatt, 2011, GRADE guidelines: 7. Rating the quality of evidence—inconsistency, J Clin Epidemiol, 64, 1294, 10.1016/j.jclinepi.2011.03.017
Guyatt, 2011, GRADE guidelines 6. Rating the quality of evidence—imprecision, J Clin Epidemiol, 64, 1283, 10.1016/j.jclinepi.2011.01.012
Balshem, 2011, GRADE guidelines: 3. Rating the quality of evidence, J Clin Epidemiol, 64, 401, 10.1016/j.jclinepi.2010.07.015
Moore, 2015, Process evaluation of complex interventions: Medical Research Council guidance, BMJ, 350, 10.1136/bmj.h1258
Skivington, 2021, A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance, BMJ, 374
Glasgow, 2019, RE-AIM planning and evaluation framework: adapting to new science and practice with a 20-year review, Front Public Health, 7, 64, 10.3389/fpubh.2019.00064
Bobrow, 2016, 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, 133, 592, 10.1161/CIRCULATIONAHA.115.017530
Davidson, 2015, Evaluation of an mHealth medication regimen self-management program for African American and Hispanic uncontrolled hypertensives, J Pers Med, 5, 389, 10.3390/jpm5040389
Jahan, 2020, Awareness development and usage of mobile health technology among individuals with hypertension in a rural community of bangladesh: randomized controlled trial, J Med Internet Res, 22, 10.2196/19137
Rehman, 2019, Utilization of short message service (SMS) in non-pharmacological management of hypertension. A pilot study in an URBAN public hospital of Multan, Pakistan, J Public Health (Berl), 27, 561, 10.1007/s10389-018-0982-9
Zhai, 2020, Efficacy of text messaging and personal consultation by pharmacy students among adults with hypertension: randomized controlled trial, J Med Internet Res, 22, 10.2196/16019
Chandler, 2020, Impact of 12-month smartphone breathing meditation program upon systolic blood pressure among non-medicated stage 1 hypertensive adults, Int J Environ Res Public Health, 17, 10.3390/ijerph17061955
Cho, 2020, Effect of smartphone-based lifestyle coaching app on community-dwelling population with moderate metabolic abnormalities: randomized controlled trial, J Med Internet Res, 22, 10.2196/17435
Dorsch, 2020, Effects of a novel contextual just-in-time mobile app intervention (LowSalt4Life) on sodium intake in adults with hypertension: pilot randomized controlled trial, JMIR Mhealth Uhealth, 8, 10.2196/16696
Frias, 2017, Effectiveness of digital medicines to improve clinical outcomes in patients with uncontrolled hypertension and type 2 diabetes: prospective, open-label, cluster-randomized pilot clinical trial, J Med Internet Res, 19, e246, 10.2196/jmir.7833
Gong, 2020, Mobile health applications for the management of primary hypertension: a multicenter, randomized, controlled trial, Medicine (Baltimore), 99, 10.1097/MD.0000000000019715
Li, 2019, A WeChat-based self-management intervention for community middle-aged and elderly adults with hypertension in Guangzhou, China: a cluster-randomized controlled trial, Int J Environ Res Public Health, 16
Moore, 2014, Technology-supported apprenticeship in the management of hypertension: a randomized controlled trial, J Clin Outcomes Manag, 21, 110
Or, 2020, Improving self-care in patients with coexisting type 2 diabetes and hypertension by technological surrogate nursing: randomized controlled trial, J Med Internet Res, 22, 10.2196/16769
Petrella, 2014, Mobile health, exercise and metabolic risk: a randomized controlled trial, BMC Public Health, 14, 10.1186/1471-2458-14-1082
Sun, 2020, The clinical effects of a new management mode for hypertensive patients: a randomized controlled trial, Cardiovasc Diagn Ther, 10, 1805, 10.21037/cdt-20-589
Yun, 2020, Efficacy of an electronic health management program for patients with cardiovascular risk: randomized controlled trial, J Med Internet Res, 22, 10.2196/15057
Bove, 2013, Managing hypertension in urban underserved subjects using telemedicine—a clinical trial, Am Heart J, 165, 615, 10.1016/j.ahj.2013.01.004
Bray, 2015, Performance and persistence of a blood pressure self-management intervention: telemonitoring and self-management in hypertension (TASMINH2) trial, J Hum Hypertens, 29, 436, 10.1038/jhh.2014.108
Kao, 2019, A web-based self-titration program to control blood pressure in patients with primary hypertension: randomized controlled trial, J Med Internet Res, 21, 10.2196/15836
Liu, 2020, Effects of self-guided e-counseling on health behaviors and blood pressure: results of a randomized trial, Patient Educ Couns, 103, 635, 10.1016/j.pec.2019.10.007
Nolan, 2018, Randomized controlled trial of e-counseling for hypertension: REACH, Circ Cardiovasc Qual Outcomes, 11, 10.1161/CIRCOUTCOMES.117.004420
Thiboutot, 2013, Effects of a web-based patient activation intervention to overcome clinical inertia on blood pressure control: cluster randomized controlled trial, J Med Internet Res, 15, e158, 10.2196/jmir.2298
He, 2017, Effect of a community health worker-led multicomponent intervention on blood pressure control in low-income patients in Argentina: a randomized clinical trial, JAMA, 318, 1016, 10.1001/jama.2017.11358
Varleta, 2017, Mobile phone text messaging improves antihypertensive drug adherence in the community, J Clin Hypertens (Greenwich), 19, 1276, 10.1111/jch.13098
Mehta, 2019, Electronic pill bottles or bidirectional text messaging to improve hypertension medication adherence (Way 2 Text): a randomized clinical trial, J Gen Intern Med, 34, 2397, 10.1007/s11606-019-05241-x
Zahr, 2019, A texting-based blood pressure surveillance intervention, J Clin Hypertens (Greenwich), 21, 1463, 10.1111/jch.13674
Schroeder, 2020, A randomized clinical trial of an interactive voice response and text message intervention for individuals with hypertension, J Clin Hypertens (Greenwich), 22, 1228, 10.1111/jch.13909
Tahkola, 2020, Personalized text message and checklist support for initiation of antihypertensive medication: the cluster randomized, controlled check and support trial, Scand J Prim Health Care, 38, 201, 10.1080/02813432.2020.1753380
Morawski, 2018, Association of a smartphone application with medication adherence and blood pressure control: the MedISAFE-BP randomized clinical trial, JAMA Intern Med, 178, 802, 10.1001/jamainternmed.2018.0447
Chandler, 2019, Impact of a culturally tailored mHealth medication regimen self-management program upon blood pressure among hypertensive Hispanic adults, Int J Environ Res Public Health, 16, 10.3390/ijerph16071226
Turnbull, 2003, Effects of different blood-pressure-lowering regimens on major cardiovascular events: results of prospectively-designed overviews of randomised trials, Lancet, 362, 1527, 10.1016/S0140-6736(03)14739-3
Mandini, 2018, Walking and hypertension: greater reductions in subjects with higher baseline systolic blood pressure following six months of guided walking, PeerJ, 6, 10.7717/peerj.5471
Shi, 2017, Association between health literacy and hypertension management in a Chinese community: a retrospective cohort study, Intern Emerg Med, 12, 765, 10.1007/s11739-017-1651-7
Bhattarai, 2021, Socioeconomic status and its relation to hypertension in rural Nepal, Int J Hypertens, 2021, 10.1155/2021/5542438
Leng, 2015, Socioeconomic status and hypertension: a meta-analysis, J Hypertens, 33, 221, 10.1097/HJH.0000000000000428
Ainsworth, 2013, A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations, J Med Internet Res, 15, e60, 10.2196/jmir.2328
Kassavou, 2020, Assessing the acceptability of a text messaging service and smartphone app to support patient adherence to medications prescribed for high blood pressure: a pilot study, Pilot Feasibility Stud, 6, 134, 10.1186/s40814-020-00666-2
Bhandari, 2021, Acceptability of a mHealth strategy for hypertension management in a low-income and middle-income country setting: a formative qualitative study among patients and healthcare providers, BMJ Open, 11, 10.1136/bmjopen-2021-052986
Bhandari, 2022, Effectiveness and acceptability of a mobile phone text messaging intervention to improve blood pressure control (TEXT4BP) among patients with hypertension in Nepal: a feasibility randomised controlled trial, Glob Heart, 17, 13, 10.5334/gh.1103
Grégoire, 1995, Selecting the language of the publications included in a meta-analysis: is there a Tower of Babel bias?, J Clin Epidemiol, 48, 159, 10.1016/0895-4356(94)00098-B
Song, 2019, Global prevalence of hypertension in children: a systematic review and meta-analysis, JAMA Pediatr, 173, 1154, 10.1001/jamapediatrics.2019.3310
Sarki, 2015, Prevalence of hypertension in low- and middle-income countries: a systematic review and meta-analysis, Medicine (Baltimore), 94, 10.1097/MD.0000000000001959
Anstey, 2019, Income inequality and hypertension control, J Am Heart Assoc, 8, 10.1161/JAHA.119.013636
Scholes, 2020, Income-based inequalities in hypertension and in undiagnosed hypertension: analysis of Health Survey for England data, J Hypertens, 38, 912, 10.1097/HJH.0000000000002350
Schutte, 2021, Hypertension in low- and middle-income countries, Circ Res, 128, 808, 10.1161/CIRCRESAHA.120.318729
Samanic, 2020, Prevalence of self-reported hypertension and antihypertensive medication use by county and rural-urban classification - United States, 2017, MMWR Morb Mortal Wkly Rep, 69, 533, 10.15585/mmwr.mm6918a1
Díaz, 2014, Prevalence of hypertension in rural populations from Ibero-America and the Caribbean, Rural Remote Health, 14
Chen, 2014, Prevalence of hypertension in rural areas of China: a meta-analysis of published studies, PLoS One, 9, 10.1371/journal.pone.0115462
