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Citing this Article

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Published on 01.10.12 in Vol 14, No 5 (2012): Sep-Oct

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

Works citing "Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2143):

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

  1. Roettl J, Bidmon S, Terlutter R. What Predicts Patients’ Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship. Journal of Medical Internet Research 2016;18(2):e32
    CrossRef
  2. Thilo FJ, Hürlimann B, Hahn S, Bilger S, Schols JM, Halfens RJ. Involvement of older people in the development of fall detection systems: a scoping review. BMC Geriatrics 2016;16(1)
    CrossRef
  3. Tavares J, Oliveira T. Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey. Journal of Medical Internet Research 2016;18(3):e49
    CrossRef
  4. Cimperman M, Makovec Brenčič M, Trkman P. Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model. International Journal of Medical Informatics 2016;90:22
    CrossRef
  5. Cho J. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 2016;87:75
    CrossRef
  6. Vugts MAP, Joosen MCW, van Bergen AHMM, Vrijhoef HJM. Feasibility of Applied Gaming During Interdisciplinary Rehabilitation for Patients With Complex Chronic Pain and Fatigue Complaints: A Mixed-Methods Study. JMIR Serious Games 2016;4(1):e2
    CrossRef
  7. Lee H, Kim J, Kim KS. The Effects of Nursing Interventions Utilizing Serious Games That Promote Health Activities on the Health Behaviors of Seniors. Games for Health Journal 2015;4(3):175
    CrossRef
  8. Liu C, Cheng T. Exploring critical factors influencing physicians’ acceptance of mobile electronic medical records based on the dual-factor model: a validation in Taiwan. BMC Medical Informatics and Decision Making 2015;15(1):4
    CrossRef
  9. Medlock S, Eslami S, Askari M, Arts DL, Sent D, de Rooij SE, Abu-Hanna A. Health Information–Seeking Behavior of Seniors Who Use the Internet: A Survey. Journal of Medical Internet Research 2015;17(1):e10
    CrossRef
  10. Mooney K, McElnay JC, Donnelly RF. Paediatricians’ opinions of microneedle-mediated monitoring: a key stage in the translation of microneedle technology from laboratory into clinical practice. Drug Delivery and Translational Research 2015;5(4):346
    CrossRef
  11. Baumeister H, Seifferth H, Lin J, Nowoczin L, Lüking M, Ebert D. Impact of an Acceptance Facilitating Intervention on Patients’ Acceptance of Internet-based Pain Interventions. The Clinical Journal of Pain 2015;31(6):528
    CrossRef
  12. Jeon E, Park H. Factors Affecting Acceptance of Smartphone Application for Management of Obesity. Healthcare Informatics Research 2015;21(2):74
    CrossRef
  13. Gabarron E, Serrano JA, Fernandez-Luque L, Wynn R, Schopf T. Randomized trial of a novel game-based appointment system for a university hospital venereology unit: study protocol. BMC Medical Informatics and Decision Making 2015;15(1)
    CrossRef
  14. Ammerlaan JJ, Scholtus LW, Drossaert CH, van Os-Medendorp H, Prakken B, Kruize AA, Bijlsma JJ. Feasibility of a Website and a Hospital-Based Online Portal for Young Adults With Juvenile Idiopathic Arthritis: Views and Experiences of Patients. JMIR Research Protocols 2015;4(3):e102
    CrossRef
  15. Ahadzadeh AS, Pahlevan Sharif S, Ong FS, Khong KW. Integrating Health Belief Model and Technology Acceptance Model: An Investigation of Health-Related Internet Use. Journal of Medical Internet Research 2015;17(2):e45
    CrossRef
  16. Mooney K, McElnay JC, Donnelly RF. Parents' perceptions of microneedle-mediated monitoring as an alternative to blood sampling in the monitoring of their infants. International Journal of Pharmacy Practice 2015;23(6):429
    CrossRef
  17. Ebert D, Berking M, Cuijpers P, Lehr D, Pörtner M, Baumeister H. Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial. Journal of Affective Disorders 2015;176:9
    CrossRef
  18. Bidmon S, Terlutter R, Röttl J. What Explains Usage of Mobile Physician-Rating Apps? Results From a Web-Based Questionnaire. Journal of Medical Internet Research 2014;16(6):e148
    CrossRef
  19. Chang SJ, Im E. A path analysis of Internet health information seeking behaviors among older adults. Geriatric Nursing 2014;35(2):137
    CrossRef
  20. Kim J. A Qualitative Analysis of User Experiences With a Self-Tracker for Activity, Sleep, and Diet. interactive Journal of Medical Research 2014;3(1):e8
    CrossRef
  21. Nikayin F, Heikkilä M, de Reuver M, Solaimani S. Workplace primary prevention programmes enabled by information and communication technology. Technological Forecasting and Social Change 2014;89:326
    CrossRef
  22. Edwards L, Thomas C, Gregory A, Yardley L, O'Cathain A, Montgomery AA, Salisbury C. Are People With Chronic Diseases Interested in Using Telehealth? A Cross-Sectional Postal Survey. Journal of Medical Internet Research 2014;16(5):e123
    CrossRef
  23. de Graaf M, Totté JE, van Os-Medendorp H, van Renselaar W, Breugem CC, Pasmans SG. Treatment of Infantile Hemangioma in Regional Hospitals With eHealth Support: Evaluation of Feasibility and Acceptance by Parents and Doctors. JMIR Research Protocols 2014;3(4):e52
    CrossRef
  24. Baumeister H, Nowoczin L, Lin J, Seifferth H, Seufert J, Laubner K, Ebert D. Impact of an acceptance facilitating intervention on diabetes patients’ acceptance of Internet-based interventions for depression: A randomized controlled trial. Diabetes Research and Clinical Practice 2014;105(1):30
    CrossRef
  25. Kim J. Analysis of Health Consumers' Behavior Using Self-Tracker for Activity, Sleep, and Diet. Telemedicine and e-Health 2014;20(6):552
    CrossRef
  26. LeRouge C, Van Slyke C, Seale D, Wright K. Baby Boomers’ Adoption of Consumer Health Technologies: Survey on Readiness and Barriers. Journal of Medical Internet Research 2014;16(9):e200
    CrossRef
  27. Ahlan AR, Ahmad BI. User Acceptance of Health Information Technology (HIT) in Developing Countries: A Conceptual Model. Procedia Technology 2014;16:1287
    CrossRef
  28. Chung Y, Han H. A Study of Factors Influencing the Intention of University Students to Accept Healthcare Information Technology Services. Journal of the Korea Academia-Industrial cooperation Society 2013;14(11):5698
    CrossRef
  29. de Graaf M, Totte J, Breugem C, van Os-Medendorp H, Pasmans S. Evaluation of the Compliance, Acceptance, and Usability of a Web-Based eHealth Intervention for Parents of Children With Infantile Hemangiomas: Usability Study. JMIR Research Protocols 2013;2(2):e54
    CrossRef