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

Usability of Apps and User Perceptions of mHealth (993) Quality/Credibility of eHealth Information and Trust Issues (544) Mobile Devices and Apps for Seniors and Healthy Aging (177)

Published on in Vol 7, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12269, first published .
Investigating the Adoption of Mobile Health Services by Elderly Users: Trust Transfer Model and Survey Study

Investigating the Adoption of Mobile Health Services by Elderly Users: Trust Transfer Model and Survey Study

Investigating the Adoption of Mobile Health Services by Elderly Users: Trust Transfer Model and Survey Study

Authors of this article:

Fanbo Meng1, 2 Author Orcid Image ;   Xitong Guo1 Author Orcid Image ;   Zeyu Peng3 Author Orcid Image ;   Kee-Hung Lai2 Author Orcid Image ;   Xinli Zhao1 Author Orcid Image
Article Authors Cited by (61) Tweetations (3) Metrics

Journals

  1. Wang G, Zhou S, Rezaei S, Liu X, Huang A. An Ambulatory Blood Pressure Monitor Mobile Health System for Early Warning for Stroke Risk: Longitudinal Observational Study. JMIR mHealth and uHealth 2019;7(10):e14926 View
  2. Ramdani B, Duan B, Berrou I. Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study. JMIR Medical Informatics 2020;8(7):e14795 View
  3. Zhu P, Shen J, Xu M. Patients’ Willingness to Share Information in Online Patient Communities: Questionnaire Study. Journal of Medical Internet Research 2020;22(4):e16546 View
  4. Cao Y, Zhang J, Ma L, Qin X, Li J. Examining User’s Initial Trust Building in Mobile Online Health Community Adopting. International Journal of Environmental Research and Public Health 2020;17(11):3945 View
  5. Lin C, Ho S. Prediction of the use of mobile device interfaces in the progressive aging process with the model of Fitts’ law. Journal of Biomedical Informatics 2020;107:103457 View
  6. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023 View
  7. Jing D, Jin Y, Liu J. The Impact of Monetary Incentives on Physician Prosocial Behavior in Online Medical Consulting Platforms: Evidence From China. Journal of Medical Internet Research 2019;21(7):e14685 View
  8. Son Y, Lee Y, Lee H. Effectiveness of Mobile Phone-Based Interventions for Improving Health Outcomes in Patients with Chronic Heart Failure: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2020;17(5):1749 View
  9. Shan W, Wang Y, Luan J, Tang P. The Influence of Physician Information on Patients’ Choice of Physician in mHealth Services Using China’s Chunyu Doctor App: Eye-Tracking and Questionnaire Study. JMIR mHealth and uHealth 2019;7(10):e15544 View
  10. Aboelmaged M, Hashem G, Mouakket S. Predicting subjective well-being among mHealth users: a readiness – value model. International Journal of Information Management 2021;56:102247 View
  11. Yang M, Jiang J, Kiang M, Yuan F. Re-Examining the Impact of Multidimensional Trust on Patients’ Online Medical Consultation Service Continuance Decision. Information Systems Frontiers 2022;24(3):983 View
  12. Octavius G, Antonio F, Colloc J. Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers. International Journal of Telemedicine and Applications 2021;2021:1 View
  13. Hui C, McKinstry B, Fulton O, Buchner M, Pinnock H. Patients’ and Clinicians’ Perceived Trust in Internet-of-Things Systems to Support Asthma Self-management: Qualitative Interview Study. JMIR mHealth and uHealth 2021;9(7):e24127 View
  14. Campos C, Jones D, Snively B, Rocco M, Pedley C, Atwater S, Moore J. Text Messaging and Home Blood Pressure Monitoring for Patients with Uncontrolled Hypertension: Proposal for a Feasibility Pilot Randomized Controlled Trial. JMIR Research Protocols 2021;10(5):e18984 View
  15. Wu X, Guo X, Zhu H. Exploring the human factors for mindfulness in mHealth service usage: An Elaboration Likelihood Model. Information Development 2021;37(3):511 View
  16. van Velsen L, Flierman I, Tabak M. The formation of patient trust and its transference to online health services: the case of a Dutch online patient portal for rehabilitation care. BMC Medical Informatics and Decision Making 2021;21(1) View
  17. Yang N, Liu B. Health risk assessment and control of the elderly under the reliability theory. Work 2021:1 View
  18. Meng F, Guo X, Peng Z, Zhang X, Lai K. Understanding the Antecedents of the Routine Use of Mobile Health Services: A Person–Technology–Health Framework. Frontiers in Psychology 2022;13 View
  19. Baer N, Vietzke J, Schenk L, Jutai J. Middle-aged and older adults’ acceptance of mobile nutrition and fitness apps: A systematic mixed studies review. PLOS ONE 2022;17(12):e0278879 View
  20. Chew E, Teo S, Tang W, Ng D, Koh G, Teo V. Trust and Uncertainty in the Implementation of a Pilot Remote Blood Pressure Monitoring Program in Primary Care: Qualitative Study of Patient and Health Care Professional Views. JMIR Human Factors 2023;10:e36072 View
  21. Liu N, Yin J, Tan S, Ngiam K, Teo H. Mobile health applications for older adults: a systematic review of interface and persuasive feature design. Journal of the American Medical Informatics Association 2021;28(11):2483 View
  22. Cao J, Kurata K, Lim Y, Sengoku S, Kodama K. Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model. International Journal of Environmental Research and Public Health 2022;19(22):15156 View
  23. Chudhery M, Safdar S, Rehman H, Rafique R, Ali M, Li F. M-health services equipped with public sector community health centers (MH-PS-CHCs), an emerging public-private joint venture in China: adoption from M-health Users’ Perspective. Technology Analysis & Strategic Management 2024;36(8):1928 View
  24. Yin Q, Fan H, Wang Y, Guo C, Cui X. Exploring the Peer Effect of Physicians’ and Patients’ Participation Behavior: Evidence from Online Health Communities. International Journal of Environmental Research and Public Health 2022;19(5):2780 View
  25. Yin R, Neyens D. Who is using a mobile app and who is using a computer to access their patient portals?. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):1569 View
  26. Alkhalifah T. A Structural Equation Modelling of Governing Factors Influencing Patient Acceptance of Mobile Health in Saudi Arabia. International Journal of E-Services and Mobile Applications 2022;14(1):1 View
  27. Li Y, Zhang X, Guo X, Wang L. Underlying Emotional Mechanisms of Routine m-Health Use in Chronically Ill Patients. IEEE Transactions on Engineering Management 2022;69(6):2658 View
  28. Kaium M, Bao Y, Alam M, Hasan N, Hoque M. Understanding the insight of factors affecting mHealth adoption. International Journal of Research in Business and Social Science (2147- 4478) 2019;8(6):181 View
  29. Zhu Z, Liu Y, Cao X, Dong W. Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service. Journal of Organizational and End User Computing 2021;34(4):1 View
  30. Lobo E, Kensing F, Frølich A, Rasmussen L, Livingston P, Islam S, Grundy J, Abdelrazek M. mHealth intervention for carers of individuals with a history of stroke: Heuristic evaluation and user perspectives. DIGITAL HEALTH 2022;8:205520762210890 View
  31. Yu J, de Antonio A, Villalba-Mora E. Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis. Journal of Medical Internet Research 2022;24(1):e31920 View
  32. Shin H, Kang S, Lee C. Impact of innovation characteristics of airport self-bag-drop service on attitude, trust, and behavioural intention: using trust transfer theory. Asian Journal of Technology Innovation 2023;31(3):604 View
  33. Palas J, Sorwar G, Hoque M, Sivabalan A. Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model. BMC Medical Informatics and Decision Making 2022;22(1) View
  34. Liu J, Sun H, Zheng J. Factors affecting users' intention to use mobile health services of public libraries. Library & Information Science Research 2023;45(1):101223 View
  35. Said G. Factors Affecting mHealth Technology Adoption in Developing Countries: The Case of Egypt. Computers 2022;12(1):9 View
  36. Schomakers E, Lidynia C, Vervier L, Calero Valdez A, Ziefle M. Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study. JMIR mHealth and uHealth 2022;10(1):e27095 View
  37. Cheng K, Wang H, Zhu Y, Wang Y, Zhu H, Lyu W. Perceptions of Chinese older adults with type 2 diabetes mellitus about self-management mobile platform: A qualitative study. Geriatric Nursing 2022;46:206 View
  38. Son Y, Kim E. The effectiveness and usability of a novel mobile phone-based self-care intervention for patients with heart failure: a mixed-methods pilot study. European Journal of Cardiovascular Nursing 2022 View
  39. Baudier P, Kondrateva G, Ammi C, Chang V, Schiavone F. Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs. Technovation 2023;120:102547 View
  40. Demirci H, Yardan E. Data management in the digital health environment scale development study*. BMC Health Services Research 2023;23(1) View
  41. Faccin K, Martins B, Maines da Silva L, Foguesatto C, Balestrin A. The qualitative process data approach as an opportunity to improve innovation management studies. Internext 2023;18(2) View
  42. Zhou S, Chen Y, Li X. More than Demand Propelling: Load Balancing Effects of E-Prescription on Online Healthcare Platforms. SSRN Electronic Journal 2023 View
  43. Kuen L, Schürmann F, Westmattelmann D, Hartwig S, Tzafrir S, Schewe G. Trust transfer effects and associated risks in telemedicine adoption. Electronic Markets 2023;33(1) View
  44. Lu J, Bai J, Zhao H, Zhang X. The Effect of “Offline-to-Online” Trust Transfer on the Utilization of Online Medical Consultation Among Chinese Rural Residents: Experimental Study. Journal of Medical Internet Research 2023;25:e43430 View
  45. Wang Z, Liang L, Liu X, Liao M. Research on the influencing factors and the differences between the initial trust and continuous trust of online health community users. Neural Computing and Applications 2024;36(17):9849 View
  46. Mohammed A, Rozsa Z. Consumers’ intentions to utilize smartphone diet applications: an integration of the privacy calculus model with self-efficacy, trust and experience. British Food Journal 2024;126(6):2416 View
  47. Zou X, Sun P, Chen M, Nan J, Gao J, Huang X, Hou Y, Jiang Y. Experience of Older Patients with COPD Using Disease Management Apps: A Qualitative Study. Healthcare 2024;12(7):802 View
  48. Cao J, Feng H, Lim Y, Kodama K, Zhang S. How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience. Behavioral Sciences 2024;14(6):498 View
  49. Cotter L, Shah D, Brown K, Mares M, Landucci G, Saunders S, Johnston D, Pe-Romashko K, Gustafson D, Maus A, Thompson K, Gustafson D. Decoding the Influence of eHealth on Autonomy, Competence, and Relatedness in Older Adults: Qualitative Analysis of Self-Determination Through the Motivational Technology Model. JMIR Aging 2024;7:e56923 View
  50. Leung W, Law S, Cheung M, Chang M, Lai C, Liu N. From resistance to acceptance: developing health task measures to boost mHealth adoption among older adults: mixed-methods approach and innovation resistance. Internet Research 2024 View
  51. Seridaran S, Sithamparam A, Falahat M, Ekmekcioğlu Ö. Determinants of continuance usage intentions: the mediating role of satisfaction and trust in branded mobile applications among Malaysians. Cogent Business & Management 2024;11(1) View
  52. Zeng K, Dong L, Xu Y, Zheng X. Exploring observed and instructed mHealth use in the middle-aged and elderly people (MAEP): A social learning perspective. DIGITAL HEALTH 2024;10 View
  53. Schubel L, Barac A, Magee M, Mete M, Peeples M, Shomali M, Miller K, Bangerter L, Fong A, Gallagher C, Mandelblatt J, Arem H. Comorbidities And Reducing InEquitieS (CARES): Feasibility of self-monitoring and community health worker support in management of comorbidities among Black breast and prostate cancer patients. Contemporary Clinical Trials Communications 2024:101387 View
  54. Goshtasbi K, Tawk K, Khosravi P, Abouzari M, Djalilian H. Smartphone-Based Cognitive Behavioral Therapy and Customized Sound Therapy for Tinnitus: A Randomized Controlled Trial. Annals of Otology, Rhinology & Laryngology 2024 View

Books/Policy Documents

  1. Song T, Yu P. Encyclopedia of Gerontology and Population Aging. View
  2. Song T, Yu P. Encyclopedia of Gerontology and Population Aging. View
  3. Song T, Yu P. Encyclopedia of Gerontology and Population Aging. View
  4. Cao J, Guo X. Mobile Health (mHealth). View
  5. Mouloudj K, Bouarar A, Asanza D, Saadaoui L, Mouloudj S, Njoku A, Evans M, Bouarar A. Integrating Digital Health Strategies for Effective Administration. View