User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review

Journals

1. Bezerra Giordan L, Ronto R, Chau J, Chow C, Laranjo L. Use of Mobile Apps in Heart Failure Self-management: Qualitative Study Exploring the Patient and Primary Care Clinician Perspective. JMIR Cardio 2022;6(1):e33992 View
2. Alhur M, Alshamari S, Oláh J, Aldreabi H. Unsupervised Machine Learning to Identify Positive and Negative Themes in Jordanian mHealth Apps. International Journal of E-Services and Mobile Applications 2022;14(1):1 View
3. Gallagher R, Chow C, Parker H, Neubeck L, Celermajer D, Redfern J, Tofler G, Buckley T, Schumacher T, Hyun K, Boroumand F, Figtree G. The effect of a game-based mobile app ‘MyHeartMate’ to promote lifestyle change in coronary disease patients: a randomized controlled trial. European Heart Journal - Digital Health 2023;4(1):33 View
4. Dulin P, Mertz R, Edwards A, King D. Contrasting a Mobile App With a Conversational Chatbot for Reducing Alcohol Consumption: Randomized Controlled Pilot Trial. JMIR Formative Research 2022;6(5):e33037 View
5. Kanai M, Toda T, Yamamoto K, Akimoto M, Hagiwara Y. A Mobile Health-Based Disease Management Program Improves Blood Pressure in People With Multiple Lifestyle-Related Diseases at Risk of Developing Vascular Disease　― A Retrospective Observational Study ―. Circulation Reports 2022;4(7):322 View
6. Bricker J, Mull K, Santiago-Torres M, Miao Z, Perski O, Di C. Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial. Journal of Medical Internet Research 2022;24(8):e39208 View
7. Carey A, Yang Q, DeLuca L, Toro-Ramos T, Kim Y, Michaelides A. The Relationship Between Weight Loss Outcomes and Engagement in a Mobile Behavioral Change Intervention: Retrospective Analysis. JMIR mHealth and uHealth 2021;9(11):e30622 View
8. Olmedo-Aguirre J, Reyes-Campos J, Alor-Hernández G, Machorro-Cano I, Rodríguez-Mazahua L, Sánchez-Cervantes J. Remote Healthcare for Elderly People Using Wearables: A Review. Biosensors 2022;12(2):73 View
9. Dai H, Younis A, Kong J, Puce L, Jabbour G, Yuan H, Bragazzi N. Big Data in Cardiology: State-of-Art and Future Prospects. Frontiers in Cardiovascular Medicine 2022;9 View
10. Nisa H, Barsbay F. Digital Health Interventions to Improve Cardiometabolic Risk Profile among Adults with Obesity and Chronic Diseases: A Systematic Review. Nurse Media Journal of Nursing 2022;12(1):133 View
11. Henriksson P, Migueles J, Söderström E, Sandborg J, Maddison R, Löf M. User engagement in relation to effectiveness of a digital lifestyle intervention (the HealthyMoms app) in pregnancy. Scientific Reports 2022;12(1) View
12. Kay M, Miller H, Askew S, Spaulding E, Chisholm M, Christy J, Yang Q, Steinberg D. Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus 2022;1(2):100037 View
13. Prieto-Díaz M, Méndez-Rodríguez E, Murillo-García D, Escobar-Cervantes C, Pallarés-Carratalá V, Díaz-Rodríguez A, Escribano-Serrano J, Polo-García J, Cinza-Sanjurjo S. Utilidad de una aplicación web interactiva en la mejora del control de los factores de riesgo cardiovascular. Proyecto Control-RCV. Medicina de Familia. SEMERGEN 2022;48(6):411 View
14. Lee Y, Huang L, Chen S, Shao J, Lai C, Yang N. Effects of Mobile Application Program (App)-Assisted Health Education on Preventive Behaviors and Cancer Literacy among Women with Cervical Intraepithelial Neoplasia. International Journal of Environmental Research and Public Health 2021;18(21):11603 View
15. Andrä M, Sibinovic M, Pfeiffer K, Kniepeiss D. Implementation of a mobile application for outpatient care after liver transplantation. DIGITAL HEALTH 2022;8:205520762211458 View
16. Kassavou A, Wang M, Mirzaei V, Shpendi S, Hasan R. The Association Between Smartphone App–Based Self-monitoring of Hypertension-Related Behaviors and Reductions in High Blood Pressure: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(7):e34767 View
17. Lee Y, Lee G, Teo L, Tan R, Zhong L, Gao F, Koh A. Effect of psychosocial motivations and technology on physical activity behaviours among community older men and women. BMC Geriatrics 2022;22(1) View
18. Patterson K, Keegan R, Davey R, Freene N. Implementing a Sedentary Behavior Change Smartphone App in Cardiac Rehabilitation. Journal of Cardiovascular Nursing 2024;39(1):E12 View
19. Kaihara T, Falter M, Scherrenberg M, Xu L, Maes J, Meesen E, Dendale P. The impact of dietary education and counselling with a smartphone application on secondary prevention of coronary artery disease: A randomised controlled study (the TeleDiet study). DIGITAL HEALTH 2023;9 View
20. Son I, Hong J, Han Y, Gong B, Zhang M, Na W, Sohn C, Hyun T. Effectiveness of a mobile health intervention on weight loss and dietary behavior changes among employees with overweight and obesity: a 12-week intervention study investigating the role of engagement. Korean Journal of Community Nutrition 2023;28(2):141 View
21. Hanson P, Summers C, Panesar A, Liarakos A, Oduro-Donkor D, Whyte Oshodi D, Hailston L, Randeva H, Menon V, de la Fosse M, Kaura A, Shuttlewood E, Loveder M, Poole D, Barber T. Implementation of a Digital Health Tool for Patients Awaiting Input From a Specialist Weight Management Team: Observational Study. JMIR Human Factors 2023;10:e41256 View
22. Blazey M, Marinac C, Whiteley J, Peterson S, Burns White K, Jacques C, Lam H, Halpenny B, Patel S, Lamothe R, Wright J. Designing a Dyad-Based Digital Health Intervention to Reduce Sedentary Time in Black Breast Cancer Survivors and Their First-degree Relatives: Human-Centered Design Study. JMIR Formative Research 2023;7:e43592 View
23. Inchusri T, Surangsrirat D, Kwanmuang P, Poomivanichakij P, Apiwatgaroon P, Ongprakobkul S, Kongchu A, Klinpikul A, Taneeheng A, Pruphetkaew N, Thongseiratch T, Ngamchaliew P, Vichitkunakorn P. Association of Generation and Group Size With the Usage of a Mobile Health App in Thailand: Secondary Analysis of the ThaiSook Cohort Study. Journal of Medical Internet Research 2023;25:e45374 View
24. de Souza Ferreira E, de Aguiar Franco F, dos Santos Lara M, Levcovitz A, Dias M, Moreira T, de Oliveira A, Cotta R. The effectiveness of mobile application for monitoring diabetes mellitus and hypertension in the adult and elderly population: systematic review and meta-analysis. BMC Health Services Research 2023;23(1) View
25. Seixas A, Richards S, Moore J, Izeogu C, Hollimon L, Jin P, Jean-Louis G. Precision Recruitment and Engagement of Individuals at Risk for Diabetes and Hypertension in Clinical Trials (PREDHICT): A Randomized Trial for an E-Persuasive Mobile Application to Inform Decision Making about Clinical Trials. International Journal of Environmental Research and Public Health 2023;20(23):7115 View
26. Sedotto R, Edwards A, Dulin P, King D. Engagement with mHealth Alcohol Interventions: User Perspectives on an App or Chatbot-Delivered Program to Reduce Drinking. Healthcare 2024;12(1):101 View
27. Son I, Hong J, Han Y, Gong B, Zhang M, Na W, Sohn C, Hyun T. Process evaluation of a mobile healthcare program among employees with overweight and obesity: a 12-week intervention study investigating the role of engagement. Korean Journal of Community Nutrition 2023;28(6):466 View
28. Jahan E, Almansour R, Ijaz K, Baptista S, Giordan L, Ronto R, Zaman S, O'Hagan E, Laranjo L. Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2024;66(6):1060 View
29. Gruson D, Cobbaert C, Dabla P, Stankovic S, Homsak E, Kotani K, Samir Assaad R, Nichols J, Gouget B. Validation and verification framework and data integration of biosensors and in vitro diagnostic devices: a position statement of the IFCC Committee on Mobile Health and Bioengineering in Laboratory Medicine (C-MBHLM) and the IFCC Scientific Division. Clinical Chemistry and Laboratory Medicine (CCLM) 2024;62(10):1904 View
30. Zhu Y, Zhao Y, Wu Y. Effectiveness of mobile health applications on clinical outcomes and health behaviors in patients with coronary heart disease: A systematic review and meta-analysis. International Journal of Nursing Sciences 2024;11(2):258 View
31. Reimer L, Nissen L, von Scheidt M, Perl B, Wiehler J, Najem S, Limbourg F, Tacke T, Müller A, Jonas S, Schunkert H, Starnecker F. User-centered development of an mHealth app for cardiovascular prevention. DIGITAL HEALTH 2024;10 View
32. Bushey E, Wu Y, Wright A, Pescatello L. The Influence of Physical Activity and Diet Mobile Apps on Cardiovascular Disease Risk Factors: Meta-Review. Journal of Medical Internet Research 2024;26:e51321 View
33. Adepoju O, Dang P, Nguyen H, Mertz J. Equity in Digital Health: Assessing Access and Utilization of Remote Patient Monitoring, Medical Apps, and Wearables in Underserved Communities. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
34. Patra E, Kokkinopoulou A, Wilson-Barnes S, Hart K, Gymnopoulos L, Tsatsou D, Solachidis V, Dimitropoulos K, Rouskas K, Argiriou A, Lalama E, Csanalosi M, Pfeiffer A, Cornelissen V, Decorte E, Dias S, Oikonomidis Y, María Botana J, Leoni R, Russell D, Mantovani E, Aleksić M, Brkić B, Hassapidou M, Pagkalos I. Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity. Life 2024;14(10):1238 View
35. Miller H, Askew S, Berger M, Trefney E, Blackman Carr L, Kay M, Barnes C, Yang Q, Tyson C, Svetkey L, Shaw R, Steinberg D, Bennett G. Sociodemographic predictors of successful screening and subsequent randomization in a digital health hypertension intervention. DIGITAL HEALTH 2024;10 View
36. Amini M, Rasaei N, Jalalzadeh M, Pourreza S, Hekmatdoost A. The Effects of Bitter Melon (Mormordica charantia) on Lipid Profile: A Systematic Review and Meta‐Analysis of Randomized Controlled Trials. Phytotherapy Research 2024 View

Books/Policy Documents

1. Kopitar L, Kocbek P, Gosak L, Stiglic G. Next Generation eHealth. View