Can Digital Health Solutions Fill in the Gap for Effective Guideline Implementation in Cardiovascular Disease Prevention: Hope or Hype?

Roth Gregory A, Mensah George A, Johnson Catherine O, Addolorato G, Ammirati E, Baddour Larry M, et al. Global burden of cardiovascular diseases and risk factors, 1990–2019. J Am Coll Cardiol. 2020;76(25):2982–3021.

CAS  Article  Google Scholar 

Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, et al. 2019 ACC/AHA Guideline on the primary prevention of cardiovascular disease: a report of the American College of Cardiology/American Heart Association Task Force on clinical practice guidelines. Circulation. 2019;140(11):e596–646.

PubMed  PubMed Central  Google Scholar 

Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Bäck M, et al. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice: developed by the Task Force for cardiovascular disease prevention in clinical practice with representatives of the European Society of Cardiology and 12 medical societies With the special contribution of the European Association of Preventive Cardiology (EAPC). Eur Heart J. 2021;42(34):3227–337.

Article  Google Scholar 

Global strategy on digital health 2020–2025. Geneva: World Heart Federation; 2021.

WHO guideline: recommendations on digital interventions for health system strengthening. Geneva: World Health Organization; 2019.

Chow CK, Redfern J, Thiagalingam A, Jan S, Whittaker R, Hackett M, et al. Design and rationale of the tobacco, exercise and diet messages (TEXT ME) trial of a text message-based intervention for ongoing prevention of cardiovascular disease in people with coronary disease: a randomised controlled trial protocol. BMJ Open. 2012;2(1):e000606.

CAS  Article  Google Scholar 

Chow CK, Redfern J, Hillis GS, Thakkar J, Santo K, Hackett ML, et al. Effect of lifestyle-focused text messaging on risk factor modification in patients with coronary heart disease: a randomized clinical trial. JAMA. 2015;314(12):1255–63.

CAS  Article  Google Scholar 

Santo K, Hyun K, de Keizer L, Thiagalingam A, Hillis GS, Chalmers J, et al. The effects of a lifestyle-focused text-messaging intervention on adherence to dietary guideline recommendations in patients with coronary heart disease: an analysis of the TEXT ME study. Int J Behav Nutri Phys Act. 2018;15(1):45.

Article  Google Scholar 

Allman-Farinelli M, Partridge RS, McGeechan K, Balestracci K, Hebden L, Wong A, et al. A mobile health lifestyle program for prevention of weight gain in young adults (TXT2BFiT): nine-month outcomes of a randomized controlled trial. JMIR Mhealth Uhealth. 2016;4(2):e78.

Article  Google Scholar 

Partridge SR, McGeechan K, Bauman A, Phongsavan P, Allman-Farinelli M. Improved eating behaviours mediate weight gain prevention of young adults: moderation and mediation results of a randomised controlled trial of TXT2BFiT, mHealth program. Int J Behav Nutri Phys Act. 2016;13:44.

Article  Google Scholar 

Rubinstein A, Miranda JJ, Beratarrechea A, Diez-Canseco F, Kanter R, Gutierrez L, et al. Effectiveness of an mHealth intervention to improve the cardiometabolic profile of people with prehypertension in low-resource urban settings in Latin America: a randomised controlled trial. Lancet Diabetes Endocrinol. 2016;4(1):52–63.

Article  Google Scholar 

•• Villinger K, Wahl DR, Boeing H, Schupp HT, Renner B. The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: a systematic review and meta-analysis. Obes Rev. 2019;20(10):1465–84. A systematic review with meta-analysis demonstrating benefits of a smartphone apps on dietary outcomes.

Article  Google Scholar 

Boushey CJ, Spoden M, Zhu FM, Delp EJ, Kerr DA. New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods. Proc Nutr Soc. 2017;76(3):283–94.

CAS  Article  Google Scholar 

• Sasaki Y, Sato K, Kobayashi S, Asakura K. Nutrient and food group prediction as orchestrated by an automated image recognition system in a smartphone app (CALO mama): validation study. JMIR Form Res. 2022;6(1):e31875. A smartphone app to measure dietary intake through image recognition.

Article  Google Scholar 

Vasiloglou MF, van der Horst K, Stathopoulou T, Jaeggi MP, Tedde GS, Lu Y, et al. The human factor in automated image-based nutrition apps: analysis of common mistakes using the goFOOD Lite App. JMIR Mhealth Uhealth. 2021;9(1):e24467.

Article  Google Scholar 

Dunford E, Trevena H, Goodsell C, Ng KH, Webster J, Millis A, et al. FoodSwitch: a mobile phone app to enable consumers to make healthier food choices and crowdsourcing of national food composition data. JMIR Mhealth Uhealth. 2014;2(3):e37.

Article  Google Scholar 

Food Switch: The George Institute for Global Health; 2017 [Available from: https://www.georgeinstitute.org/projects/foodswitch.

Eyles H, McLean R, Neal B, Jiang Y, Doughty RN, McLean R, et al. A salt-reduction smartphone app supports lower-salt food purchases for people with cardiovascular disease: findings from the SaltSwitch randomised controlled trial. Eur J Prev Cardiol. 2017;24(13):1435–44.

Article  Google Scholar 

Yang C-C, Hsu Y-L. A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors (Basel, Switzerland). 2010;10(8):7772–88.

Article  Google Scholar 

•• Hodkinson A, Kontopantelis E, Adeniji C, van Marwijk H, McMillian B, Bower P, et al. Interventions using wearable physical activity trackers among adults with cardiometabolic conditions: a systematic review and meta-analysis. JAMA Netw Open. 2021;4(7):e2116382. A systematic review with meta-analysis demonstrating that wearable physical activity trackers are associated with increased physical activity.

Article  Google Scholar 

Li C, Chen X, Bi X. Wearable activity trackers for promoting physical activity: a systematic meta-analytic review. Int J Med Informatics. 2021;152:104487.

Article  Google Scholar 

•• Ashur C, Cascino TM, Lewis C, Townsend W, Sen A, Pekmezi D, et al. Do wearable activity trackers increase physical activity among cardiac rehabilitation participants? A systematic review and meta-analysis. J Cardiopulm Rehabil Prev. 2021;41(4):249–56. A systematic review with meta-analysis demonstrating that wearable physical activity trackers are associated with increased physical activity.

Article  Google Scholar 

•• Chaudhry UAR, Wahlich C, Fortescue R, Cook DG, Knightly R, Harris T. The effects of step-count monitoring interventions on physical activity: systematic review and meta-analysis of community-based randomised controlled trials in adults. Int J Behav Nutr Phys Act. 2020;17(1):129. A systematic review with meta-analysis demonstrating that wearable physical activity trackers are associated with increased physical activity.

Article  Google Scholar 

•• Brickwood K-J, Watson G, O’Brien J, Williams AD. Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis. JMIR Mhealth Uhealth. 2019;7(4):e11819. A systematic review with meta-analysis demonstrating that wearable physical activity trackers are associated with increased physical activity.

Article  Google Scholar 

Fuller D, Colwell E, Low J, Orychock K, Tobin MA, Simango B, et al. Reliability and validity of commercially available wearable devices for measuring steps, energy expenditure, and heart rate: systematic review. JMIR Mhealth Uhealth. 2020;8(9):e18694.

Article  Google Scholar 

•• Patterson K, Davey R, Keegan R, Freene N. Smartphone applications for physical activity and sedentary behaviour change in people with cardiovascular disease: a systematic review and meta-analysis. PLoS One. 2021;16(10):e0258460. A systematic review with meta-analysis demonstrating that smartphone apps are associated with increased physical activity.

CAS  Article  Google Scholar 

•• Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y, Dobson R. Mobile phone text messaging and app‐based interventions for smoking cessation. Cochrane Database Syst Rev. 2019(10). A systematic review with meta-analysis demonstrating that text-messaging programs, but not apps, improve smoking cessation.

SmokefreeTXT United States [Available from: https://smokefree.gov/smokefreetxt.

Short Messages Against Tobbaco (SMAT) Canada [Available from: https://www.smat.ca/en.

mCessation Programme India [Available from: http://www.nhp.gov.in/quit-tobacco.

•• Barroso-Hurtado M, Suárez-Castro D, Martínez-Vispo C, Becoña E, López-Durán A. Smoking cessation apps: a systematic review of format, outcomes, and features. Int J Environ Res Public Health. 2021;18(21):11664. A systematic review on the use of smartphone apps to improve smoking cessation.

Article  Google Scholar 

•• Chu K-H, Matheny SJ, Escobar-Viera CG, Wessel C, Notier AE, Davis EM. Smartphone health apps for tobacco Cessation: a systematic review. Addict Behav. 2021;112:106616. A systematic review on the use of smartphone apps to improve smoking cessation.

Article  Google Scholar 

quitSTART app: U.S. Centers for Disease Control and Prevention; 2021 [Available from: https://www.cdc.gov/tobacco/campaign/tips/quit-smoking/quitstart-app/index.html.

QuitGuide app: U.S. National Cancer Institute; [Available from: https://smokefree.gov/tools-tips/apps/quitguide.

Prutzman YM, Wiseman KP, Grady MA, Budenz A, Grenen EG, Vercammen LK, et al. Using digital technologies to reach tobacco users who want to quit: evidence from the National Cancer Institute’s Smokefree.gov Initiative. Am J Prev Med. 2021;60(3):S172–84.

Article  Google Scholar 

NHS Quit Smoking app: U.K. National Health Service; [Available from: https://www.nhs.uk/better-health/quit-smoking/.

My QuiBuddy app: Australian Department of Health; [Available from: https://www.health.gov.au/resources/apps-and-tools/my-quitbuddy-app.

Naderi SH, Bestwick JP, Wald DS. Adherence to drugs that prevent cardiovascular disease: meta-analysis on 376,162 patients. Am J Med. 2012;125(9):882-7.e1.

Article  Google Scholar 

Chowdhury R, Khan H, Heydon E, Shroufi A, Fahimi S, Moore C, et al. Adherence to cardiovascular therapy: a meta-analysis of prevalence and clinical consequences. Eur Heart J. 2013;34(38):2940–8.

CAS  Article  Google Scholar 

Ahmed I, Ahmad NS, Ali S, Ali S, George A, Saleem Danish H, et al. Medication adherence apps: review and content analysis. JMIR Mhealth Uhealth. 2018;6(3):e62.

Article  Google Scholar 

Santo K, Richtering SS, Chalmers J, Thiagalingam A, Chow KC, Redfern J. Mobile phone apps to improve medication adherence: a systematic stepwise process to identify high-quality apps. JMIR Mhealth Uhealth. 2016;4(4):e132.

Article  Google Scholar 

• Park JYE, Li J, Howren A, Tsao NW, De Vera M. Mobile phone apps targeting medication adherence: quality assessment and content analysis of user reviews. JMIR Mhealth Uhealth. 2019;7(1):e11919. A review evaluating the availability, features and quality of apps for medication adherence.

Article  Google Scholar 

• Al-Arkee S, Mason J, Lane DA, Fabritz L, Chua W, Haque MS, et al. Mobile apps to improve medication adherence in cardiovascular disease: systematic review and meta-analysis. J Med Internet Res. 2021;23(5):e24190. A review evaluating the availability, features and quality of apps for medication adherence.

Article  Google Scholar 

•• Armitage LC, Kassavou A, Sutton S. Do mobile device apps designed to support medication adherence demonstrate efficacy? A systematic review of randomised controlled trials, with meta-analysis. BMJ Open. 2020;10(1):e032045. A systematic review with meta-analysis demonstrating that medication adherence apps are associated with higher adherence.

Article  Google Scholar 

•• Pérez-Jover V, Sala-González M, Guilabert M, Mira JJ. Mobile apps for increasing treatment adherence: systematic review. J Med Internet Res. 2019;21(6):e12505. A systematic review with meta-analysis demonstrating that medication adherence apps are associated with higher adherence.

Article  Google Scholar 

• Klein GL. The case for digital pill use in clinical trials. Clin Trial Pract Open J. 2021;1(1):89–94. An article on the use of digital pill as an innovative way to improve medication adherence.

Google Scholar 

Vallejos X, Wu C. Digital medicine: innovative drug-device combination as new measure of medication adherence. J Pharm Technol. 2017;33(4):137–9.

Article  Google Scholar 

Martani A, Geneviève LD, Poppe C, Casonato C, Wangmo T. Digital pills: a scoping review of the empirical literature and analysis of the ethical aspects. BMC Med Ethics. 2020;21(1):3.

Article  Google Scholar 

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