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

Articles* (17)

Published on in Vol 7, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10117, first published .
Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study

Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study

Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study

Authors of this article:

Jie Jiang1 Author Orcid Image ;   Qin Zhu2 Author Orcid Image ;   Yimei Zheng1 Author Orcid Image ;   Yajing Zhu2 Author Orcid Image ;   Yuxi Li1 Author Orcid Image ;   Yong Huo1 Author Orcid Image
Article Authors Cited by (22) Tweetations (1) Metrics

Journals

  1. Langford A, Loeb S. Perceived Patient-Provider Communication Quality and Sociodemographic Factors Associated With Watching Health-Related Videos on YouTube: A Cross-Sectional Analysis. Journal of Medical Internet Research 2019;21(5):e13512 View
  2. Erickson L, Emerson A, Russell C. Parental mobile health adherence to symptom home monitoring for infants with congenital heart disease during the single ventricle interstage period: A concept analysis. Journal for Specialists in Pediatric Nursing 2020;25(4) View
  3. Li P, Luo Y, Yu X, Wen J, Mason E, Li W, Jalali M. Patients’ Perceptions of Barriers and Facilitators to the Adoption of E-Hospitals: Cross-Sectional Study in Western China. Journal of Medical Internet Research 2020;22(6):e17221 View
  4. Kowalska M, Gładyś A, Kalańska-Łukasik B, Gruz-Kwapisz M, Wojakowski W, Jadczyk T. Readiness for Voice Technology in Patients With Cardiovascular Diseases: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(12):e20456 View
  5. 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
  6. Orrange S, Patel A, Mack W, Cassetta J. Patient Satisfaction and Trust in Telemedicine During the COVID-19 Pandemic: Retrospective Observational Study. JMIR Human Factors 2021;8(2):e28589 View
  7. Vera Cruz G, Dlamini P. People’s willingness and determinants to use selected tele-consultation public health services in Mozambique. BMC Public Health 2021;21(1) View
  8. Imeri H, Desselle S, Hetemi D, Hoti K. Mobile Electronic Devices as Means of Facilitating Patient Activation and Health Professional Empowerment Related to Information Seeking on Chronic Conditions and Medications: Qualitative Study. JMIR mHealth and uHealth 2021;9(8):e26300 View
  9. Mendez K, Budhathoki C, Labrique A, Sadak T, Tanner E, Han H. Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study. JMIR mHealth and uHealth 2021;9(8):e27926 View
  10. Li Y, Gong Y, Zheng B, Fan F, Yi T, Zheng Y, He P, Fang J, Jia J, Zhu Q, Jiang J, Huo Y. Effects on Adherence to a Mobile App–Based Self-management Digital Therapeutics Among Patients With Coronary Heart Disease: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(2):e32251 View
  11. Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis. JMIR mHealth and uHealth 2022;10(5):e36284 View
  12. Blasiak A, Sapanel Y, Leitman D, Ng W, De Nicola R, Lee V, Todorov A, Ho D. Omnichannel Communication to Boost Patient Engagement and Behavioral Change With Digital Health Interventions. Journal of Medical Internet Research 2022;24(11):e41463 View
  13. Cruz-Ramos N, Alor-Hernández G, Colombo-Mendoza L, Sánchez-Cervantes J, Rodríguez-Mazahua L, Guarneros-Nolasco L. mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review. Healthcare 2022;10(2):322 View
  14. Wang X, Wu Y, Meng Z, Li J, Xu L, Sun X, Zang S. Willingness to Use Mobile Health Devices in the Post–COVID-19 Era: Nationwide Cross-sectional Study in China. Journal of Medical Internet Research 2023;25:e44225 View
  15. Sun L, Buijsen M. Mobile health in China: Does it meet availability, accessibility, acceptability and quality standards?. Health Policy and Technology 2022;11(3):100660 View
  16. van Elburg F, Klaver N, Nieboer A, Askari M. Gender differences regarding intention to use mHealth applications in the Dutch elderly population: a cross-sectional study. BMC Geriatrics 2022;22(1) View
  17. Bogale B, Habte A, Haile D, Guteta M, Mohammed N, Gebremichael M. Willingness to Receive mHealth Messages Among Diabetic Patients at Mizan Tepi University Teaching Hospital: Implications for Digital Health. Patient Preference and Adherence 2022;Volume 16:1499 View
  18. Xiong X, Luo L, Zhou S, Li V, Zhou Y, Huo Z, König L. A profile of patients’ and doctors’ perceptions, acceptance, and utilization of e-health in a deprived region in southwestern China. PLOS Digital Health 2023;2(4):e0000238 View
  19. Li Z, Ge J, Zhang C, Peng X, Wu Q, You H. Information-Motivation-Behavioral Skills Model Supplemented With the Moderated-Mediation Path: A Framework for Interpreting Patients’ Online Medical Services Utilization. American Journal of Health Promotion 2023;37(7):924 View
  20. Hong C, Yan Q, Qi H, Zhang Y, Yu L, Dong L, Wang J. Acceptability, Preferred Medium, and Components of Nurse-Led Cardiac Telerehabilitation: A Cross-Sectional Study. Clinical Nursing Research 2024;33(2-3):146 View
  21. Zigdon A, Zwilling M, Zigdon O, Reges O. Health Maintenance Organization–mHealth Versus Face-to-Face Interaction for Health Care in Israel: Cross-Sectional Web-Based Survey Study. Journal of Medical Internet Research 2024;26:e55350 View
  22. Hussein A, Moullin J, Stafford A, Hughes J, Quested E. Identification of Barriers and Facilitators to the Use of a New Pain Assessment Mobile Health Application by Family Carers of People with Dementia: A Qualitative Study. Ageing International 2025;50(1) View