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Citing this Article

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Published on 29.08.18 in Vol 6, No 8 (2018): August

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

Works citing "What Predicts Patients’ Adoption Intention Toward mHealth Services in China: Empirical Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9316):

(note that this is only a small subset of citations)

  1. 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
    CrossRef
  2. Zhang Y, Liu C, Luo S, Huang J, Li X, Zhou Z. Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study. JMIR mHealth and uHealth 2020;8(3):e17455
    CrossRef
  3. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271
    CrossRef
  4. Mensah IK, Chuanyong L, Zeng G. Factors Determining the Continued Intention to Use Mobile Money Transfer Services (MMTS) Among University Students in Ghana. International Journal of Mobile Human Computer Interaction 2020;12(1):1
    CrossRef
  5. Meng F, Zhang X, Guo X, Lai K, Zhao X. How Do Patients with Chronic Diseases Make Usage Decisions regarding Mobile Health Monitoring Service?. Journal of Healthcare Engineering 2019;2019:1
    CrossRef
  6. Liang D, Fan G. Social Support and User Characteristics in Online Diabetes Communities: An In-Depth Survey of a Large-Scale Chinese Population. International Journal of Environmental Research and Public Health 2020;17(8):2806
    CrossRef
  7. Sittig S, Hauff C, Graves RJ, Williams SG, McDermott RC, Fruh S, Hall H, Campbell M, Swanzy D, Wright T, Hudson GM. Characteristics of and Factors Influencing College Nursing Studentsʼ Willingness to Utilize mHealth for Health Promotion. CIN: Computers, Informatics, Nursing 2020;38(5):246
    CrossRef
  8. Hu G, Han X, Zhou H, Liu Y. Public Perception on Healthcare Services: Evidence from Social Media Platforms in China. International Journal of Environmental Research and Public Health 2019;16(7):1273
    CrossRef
  9. Apolinário-Hagen J, Hennemann S, Fritsche L, Drüge M, Breil B. Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study. JMIR Mental Health 2019;6(11):e15373
    CrossRef
  10. Meng F, Guo X, Peng Z, Zhang X, Vogel D. The routine use of mobile health services in the presence of health consciousness. Electronic Commerce Research and Applications 2019;35:100847
    CrossRef
  11. 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
    CrossRef
  12. 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
    CrossRef
  13. Park HS, Kim KI, Soh JY, Hyun YH, Jang SK, Lee S, Hwang GY, Kim HS. Factors Influencing Acceptance of Personal Health Record Apps for Workplace Health Promotion: Cross-Sectional Questionnaire Study. JMIR mHealth and uHealth 2020;8(6):e16723
    CrossRef
  14. AKDUR G, AYDIN MN, AKDUR G. The Adoption of Mobile Health (mHealth) Apps in Dietetic Practice: The Case Study of ‘Diyetkolik’ (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  15. Balapour A, Reychav I, Sabherwal R, Azuri J. Mobile technology identity and self-efficacy: Implications for the adoption of clinically supported mobile health apps. International Journal of Information Management 2019;49:58
    CrossRef
  16. Galvin HK, DeMuro PR. Developments in Privacy and Data Ownership in Mobile Health Technologies, 2016-2019. Yearbook of Medical Informatics 2020;29(01):032
    CrossRef
  17. Kamal SA, Shafiq M, Kakria P. Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society 2020;60:101212
    CrossRef
  18. 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
    CrossRef
  19. Alsisi EA, Al-Ashaab A, Abualfaraa WA. The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study. Journal of Medical Internet Research 2020;22(7):e16212
    CrossRef
  20. Meng F, Guo X, Peng Z, Lai K, Zhao X. Investigating the Adoption of Mobile Health Services by Elderly Users: Trust Transfer Model and Survey Study. JMIR mHealth and uHealth 2019;7(1):e12269
    CrossRef
  21. Saheb T. An empirical investigation of the adoption of mobile health applications: integrating big data and social media services. Health and Technology 2020;10(5):1063
    CrossRef
  22. Mathai N, McGill T, Toohey D. Factors Influencing Consumer Adoption of Electronic Health Records. Journal of Computer Information Systems 2020;:1
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.9316):

  1. Schomakers E, Vervier L, Ziefle M. Human Aspects of IT for the Aged Population. Healthy and Active Aging. 2020. Chapter 28:381
    CrossRef