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

mHealth for Wellness, Behavior Change and Prevention (2754) Coronary Heart Disease (73) Mobile Apps for Cardiology (127)

Published on in Vol 7, No 4 (2019): April

Evaluating the Impact of the HeartHab App on Motivation, Physical Activity, Quality of Life, and Risk Factors of Coronary Artery Disease Patients: Multidisciplinary Crossover Study

Evaluating the Impact of the HeartHab App on Motivation, Physical Activity, Quality of Life, and Risk Factors of Coronary Artery Disease Patients: Multidisciplinary Crossover Study

Evaluating the Impact of the HeartHab App on Motivation, Physical Activity, Quality of Life, and Risk Factors of Coronary Artery Disease Patients: Multidisciplinary Crossover Study

Authors of this article:

Supraja Sankaran1 Author Orcid Image ;   Paul Dendale2, 3 Author Orcid Image ;   Karin Coninx1 Author Orcid Image
Article Authors Cited by (23) Tweetations (9) Metrics

Journals

  1. Broers E, Kop W, Denollet J, Widdershoven J, Wetzels M, Ayoola I, Piera-Jimenez J, Habibovic M. A Personalized eHealth Intervention for Lifestyle Changes in Patients With Cardiovascular Disease: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(5):e14570 View
  2. Lee J, Kang M, Lee S. Effects of the e-Motivate4Change Program on Metabolic Syndrome in Young Adults Using Health Apps and Wearable Devices: Quasi-Experimental Study. Journal of Medical Internet Research 2020;22(7):e17031 View
  3. Kim Y, Seo J, An S, Sinn D, Hwang J. Efficacy and Safety of an mHealth App and Wearable Device in Physical Performance for Patients With Hepatocellular Carcinoma: Development and Usability Study. JMIR mHealth and uHealth 2020;8(3):e14435 View
  4. Lima A, Nascimento I, Oliveira A, Martins T, Pereira D, Britto R. Home-Based Cardiac Rehabilitation in Brazil’s Public Health Care: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(11):e13901 View
  5. Son Y, Oh S, Kim E. Patients’ needs and perspectives for using mobile phone interventions to improve heart failure self‐care: A qualitative study. Journal of Advanced Nursing 2020;76(9):2380 View
  6. Snoek J, Prescott E, van der Velde A, Eijsvogels T, Mikkelsen N, Prins L, Bruins W, Meindersma E, González-Juanatey J, Peña-Gil C, González-Salvado V, Moatemri F, Iliou M, Marcin T, Eser P, Wilhelm M, Van’t Hof A, de Kluiver E. Effectiveness of Home-Based Mobile Guided Cardiac Rehabilitation as Alternative Strategy for Nonparticipation in Clinic-Based Cardiac Rehabilitation Among Elderly Patients in Europe. JAMA Cardiology 2021;6(4):463 View
  7. Niknejad N, Ismail W, Bahari M, Nazari B. Understanding Telerehabilitation Technology to Evaluate Stakeholders’ Adoption of Telerehabilitation Services: A Systematic Literature Review and Directions for Further Research. Archives of Physical Medicine and Rehabilitation 2021;102(7):1390 View
  8. Mouchabac S, Maatoug R, Conejero I, Adrien V, Bonnot O, Millet B, Ferreri F, Bourla A. In Search of Digital Dopamine: How Apps Can Motivate Depressed Patients, a Review and Conceptual Analysis. Brain Sciences 2021;11(11):1454 View
  9. Velez M, Lugo-Agudelo L, Patiño Lugo D, Glenton C, Posada A, Mesa Franco L, Negrini S, Kiekens C, Spir Brunal M, Roberg A, Cruz Sarmiento K. Factors that influence the provision of home-based rehabilitation services for people needing rehabilitation: a qualitative evidence synthesis. Cochrane Database of Systematic Reviews 2023;2023(2) View
  10. Holl F, Kircher J, Swoboda W, Schobel J. Methods Used to Evaluate mHealth Applications for Cardiovascular Disease: A Quasi-Systematic Scoping Review. International Journal of Environmental Research and Public Health 2021;18(23):12315 View
  11. Dibben G, Faulkner J, Oldridge N, Rees K, Thompson D, Zwisler A, Taylor R. Exercise-based cardiac rehabilitation for coronary heart disease. Cochrane Database of Systematic Reviews 2021;2021(11) View
  12. Kenny E, Coyne R, McEvoy J, McSharry J, Taylor R, Byrne M. Behaviour change techniques and intervention characteristics in digital cardiac rehabilitation: a systematic review and meta-analysis of randomised controlled trials. Health Psychology Review 2024;18(1):189 View
  13. Kaihara T, Hansen D, Sankaran S, Scherrenberg M, Falter M, Xu L, Coninx K, Dendale P. Do we need to rethink the determination of exercise-related energy expenditure in cardiac telerehabilitation interventions?. Journal of Telemedicine and Telecare 2023:1357633X2311661 View
  14. McDonagh S, Dalal H, Moore S, Clark C, Dean S, Jolly K, Cowie A, Afzal J, Taylor R. Home-based versus centre-based cardiac rehabilitation. Cochrane Database of Systematic Reviews 2023;2023(10) View
  15. Kircher J, Swoboda W, Holl F. Examining standardized tools used for the evaluation of mobile health applications for cardiovascular disease. Frontiers in Public Health 2023;11 View
  16. Boszko M, Krzowski B, Peller M, Hoffman P, Żurawska N, Skoczylas K, Osak G, Kołtowski Ł, Grabowski M, Opolski G, Balsam P. Impact of AfterAMI Mobile App on Quality of Life, Depression, Stress and Anxiety in Patients with Coronary Artery Disease: Open Label, Randomized Trial. Life 2023;13(10):2015 View
  17. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View
  18. 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
  19. Chen H, Zhou H, Wu B, Lu H, Zhang J, Zhang Y, Gu Y, Zhou G, Xiang J, Yang J. Physical activity and exercise in liver cancer. Liver Research 2024;8(1):22 View
  20. Jeong H, Lee Y, Park J, Lee Y. Influence of Illness Uncertainty on Health Behavior in Individuals with Coronary Artery Disease: A Path Analysis. Journal of Korean Academy of Nursing 2024;54(2):162 View

Books/Policy Documents

  1. Ofori M, El-Gayar O. Optimizing Health Monitoring Systems With Wireless Technology. View