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

Telehealth and Telemonitoring (2252) eHealth Literacy / Digital Literacy (588) Quality/Credibility of eHealth Information and Trust Issues (683) Clinical Communication, Electronic Consultation and Telehealth (823) User Needs and Competencies (512) Social Determinants of Health (102)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63295, first published .
Factors Affecting Patients’ Use of Telehealth Services: Cross-Sectional Survey Study

Factors Affecting Patients’ Use of Telehealth Services: Cross-Sectional Survey Study

Factors Affecting Patients’ Use of Telehealth Services: Cross-Sectional Survey Study

Authors of this article:

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Journals

  1. Kim N, Kang I, Haizelden J, Newman S. Understanding Telehealth Among U.S. Adults with Disabilities: Utilization Patterns, Associated Factors, and Motivations for Utilization. American Journal of Health Education 2026;57(1):56 View
  2. Lee W, Shin S. Understanding health beliefs and perceived app value in telemedicine adoption: evidence from Korean college students using an extended HBM. International Journal of Pharmaceutical and Healthcare Marketing 2025:1 View
  3. Zhu J, Xie J, Gan G, Lu Z, Zhang H, Wang J, Dong X, Zheng Q, Li L, Zhang Y, Liu M. Depressive symptoms among kidney transplant recipients: Modeling stress-related pathways involving chronotype, perceived stress, rumination, and sleep quality. Comprehensive Psychiatry 2026;145:152661 View
  4. Díaz G, Pellejero M, Sánchez-Sánchez R, Sánchez-Medina A. The role of trust in health care professionals in the diet app context: an approach based on the extended UTAUT model. Humanities and Social Sciences Communications 2026;13(1) View
  5. Liu L, Dallakoti N, Cui W, Li X, Ding S, Zhang S, Xu H. Development and Validation of a Nurse‐Specific Scale to Assess Influencing Factors in Clinical Practice Guideline Implementation: An i‐PARIHS‐Based Study. Journal of Nursing Management 2026;2026(1) View
  6. Wang R, Sambamoorthi U. Predicting Anticipated Telehealth Use: Development of the CONTEST Score and Machine Learning Models Using a National U.S. Survey. Healthcare 2026;14(4):500 View
  7. Li W, Yang K, Kong F. The Roles of Happiness Motives in Cognitive Reappraisal and Expressive Suppression: A Longitudinal Study in Emerging Adults. Behavioral Sciences 2026;16(3):312 View
  8. Hikmy B, Wahyudin H, Oktasari M, Kholili M. From preference to mechanism: integrative-first sequencing, trust, and retention in culturally informed menopause care. EXPLORE 2026;22(3):103373 View
  9. Mandó P, Moutafi M, Connolly E, Faulkner L, Franco P, Güven D, Kfoury M, Kloft M, Kocakavuk E, Mariamidze E, Nader-Marta G, Nasir S, Pihlak R, Punie K, Lim K, Sobczuk P, Starzer A, Tecic Vuger A, Zhu H, Phillips H, Povilonis P, Sabater-Fajardo T, Teo T, Cervantes A, Sánchez-Bayona R, Lambertini M. Digital health technology in oncology: results from a survey by the ESMO Young Oncologists Committee and medical student alumni. ESMO Real World Data and Digital Oncology 2026;12:100697 View
  10. Ekenler Ş, Polat Ü. The effect of distance education on health beliefs, self-efficacy, and healthy lifestyle behaviours of people with diabetes: A randomised controlled trial. Health Education Journal 2026 View
  11. Alcaraz K, Cohen C, Connor A. Telehealth Use and Nonuse Among Cancer Survivors in the United States and Associations with Adverse Social Determinants of Health. Telemedicine and e-Health 2026 View