This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (260) Web-based and Mobile Health Interventions (3128) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15446, first published .
Improving Engagement Among Patients With Chronic Cardiometabolic Conditions Using mHealth: Critical Review of Reviews

Improving Engagement Among Patients With Chronic Cardiometabolic Conditions Using mHealth: Critical Review of Reviews

Improving Engagement Among Patients With Chronic Cardiometabolic Conditions Using mHealth: Critical Review of Reviews

Authors of this article:

Kamila Cheikh-Moussa1 Author Orcid Image ;   Jose Joaquin Mira2 Author Orcid Image ;   Domingo Orozco-Beltran3 Author Orcid Image
Article Authors Cited by (17) Tweetations Metrics

Journals

  1. Garg S, Rodbard D, Hirsch I, Forlenza G. Managing New-Onset Type 1 Diabetes During the COVID-19 Pandemic: Challenges and Opportunities. Diabetes Technology & Therapeutics 2020;22(6):431 View
  2. Jones A, Bardram J, Bækgaard P, Cramer-Petersen C, Skinner T, Vrangbæk K, Starr L, Nørgaard K, Lind N, Bechmann Christensen M, Glümer C, Wang-Sattler R, Laxy M, Brander E, Heinemann L, Heise T, Schliess F, Ladewig K, Kownatka D. Integrated personalized diabetes management goes Europe: A multi-disciplinary approach to innovating type 2 diabetes care in Europe. Primary Care Diabetes 2021;15(2):360 View
  3. Wu D, An J, Yu P, Lin H, Ma L, Duan H, Deng N. Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Health Care Provider Follow-up on These Patterns: Cluster Analysis. Journal of Medical Internet Research 2021;23(9):e25630 View
  4. Wu D, Huyan X, She Y, Hu J, Duan H, Deng N. Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data. JMIR mHealth and uHealth 2022;10(2):e33189 View
  5. Kelley M, Kue J, Brophy L, Peabody A, Foraker R, Yen P, Tucker S. Mobile Health Applications, Cancer Survivors, and Lifestyle Modification. CIN: Computers, Informatics, Nursing 2021;39(11):755 View
  6. Poot C, Meijer E, Kruis A, Smidt N, Chavannes N, Honkoop P. Integrated disease management interventions for patients with chronic obstructive pulmonary disease. Cochrane Database of Systematic Reviews 2021;2021(9) View
  7. Leach C, Hudson S, Diefenbach M, Wiseman K, Sanders A, Coa K, Chantaprasopsuk S, Stephens R, Alfano C. Cancer health self‐efficacy improvement in a randomized controlled trial. Cancer 2022;128(3):597 View
  8. 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
  9. Klimis H, Nothman J, Lu D, Sun C, Cheung N, Redfern J, Thiagalingam A, Chow C. Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis. JMIR mHealth and uHealth 2021;9(11):e27779 View
  10. Madujibeya I, Lennie T, Aroh A, Chung M, Moser D. Measures of Engagement With mHealth Interventions in Patients With Heart Failure: Scoping Review. JMIR mHealth and uHealth 2022;10(8):e35657 View
  11. Almutairi N, Vlahu-Gjorgievska E, Win K. Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis. Informatics for Health and Social Care 2023;48(3):267 View
  12. FERNANDEZ C, VICENTE M, GUILABERT M, CARRILLO I, Mira J. A Mobile Health App for Chronic Illnesses (Atlas): Design, Development and Evolution Using Focus Groups. SSRN Electronic Journal 2022 View
  13. Fernández C, Vicente M, Guilabert M, Carrillo I, Mira J. Developing a mobile health app for chronic illness management: Insights from focus groups. DIGITAL HEALTH 2023;9 View
  14. Coles C, Earl H, Anderson B, Barrios C, Bienz M, Bliss J, Cameron D, Cardoso F, Cui W, Francis P, Jagsi R, Knaul F, McIntosh S, Phillips K, Radbruch L, Thompson M, André F, Abraham J, Bhattacharya I, Franzoi M, Drewett L, Fulton A, Kazmi F, Inbah Rajah D, Mutebi M, Ng D, Ng S, Olopade O, Rosa W, Rubasingham J, Spence D, Stobart H, Vargas Enciso V, Vaz-Luis I, Villarreal-Garza C, Arreola-Ornelas H, Bhadelia A, Boughey J, Chatterjee S, Dodwell D, Doubova S, Du Plooy D, Essue B, Goel N, Gralow J, Hawley S, Kiely B, Mann R, Mertz S, Palmieri C, Poortmans P, Spanic T, Stephen L, Symmans F, Towns C, Verhoeven D, Vinnicombe S, Watkins D, Yip C, Zikmund-Fisher B. The Lancet Breast Cancer Commission. The Lancet 2024;403(10439):1895 View
  15. Albulushi A, Al Kindi D, Moawwad N, Kamel A, Khan A, Moustafa M, Al Kalbani A. Digital health technologies in enhancing patient and caregiver engagement in heart failure management: Opportunities and challenges. International Journal of Cardiology 2024;408:132116 View
  16. Paz E, Pargaonkar V, Roach B, Meadows M, Roberts J, Gazit T, Zaleski A, Craig K, Serra S, Dunn P, Michos E. Comprehensive Cardiovascular Risk Factor Control With a Mobile Health Cardiovascular Risk Self‐Management Program. Journal of the American Heart Association 2024;13(10) View
  17. Zhang P, Tao X, Ma Y, Zhang Y, Ma X, Song H, Liu Y, Patel A, Jan S, Peiris D. Improving the management of type 2 diabetes in China using a multifaceted digital health intervention in primary health care: the SMARTDiabetes cluster randomised controlled trial. The Lancet Regional Health - Western Pacific 2024;49:101130 View