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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. 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;:n/a
    CrossRef
  2. 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
  3. 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
  4. 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;
    CrossRef
  5. 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;:150206061457004
    CrossRef
  6. 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)
    CrossRef
  7. 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
  8. 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
  9. 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
  10. Kim J. Analysis of Health Consumers' Behavior Using Self-Tracker for Activity, Sleep, and Diet. Telemedicine and e-Health 2014;20(6):552
    CrossRef
  11. 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
  12. 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
  13. 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
  14. 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
  15. Chang SJ, Im E. A path analysis of Internet health information seeking behaviors among older adults. Geriatric Nursing 2014;35(2):137
    CrossRef
  16. Ahlan AR, Ahmad BI. User Acceptance of Health Information Technology (HIT) in Developing Countries: A Conceptual Model. Procedia Technology 2014;16:1287
    CrossRef
  17. 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
  18. 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
  19. 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