Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41429, first published .
Factors Predicting Older People’s Acceptance of a Personalized Health Care Service App and the Effect of Chronic Disease: Cross-Sectional Questionnaire Study

Factors Predicting Older People’s Acceptance of a Personalized Health Care Service App and the Effect of Chronic Disease: Cross-Sectional Questionnaire Study

Factors Predicting Older People’s Acceptance of a Personalized Health Care Service App and the Effect of Chronic Disease: Cross-Sectional Questionnaire Study

Authors of this article:

Jun Hyuk Koo1 Author Orcid Image ;   You Hyun Park2 Author Orcid Image ;   Dae Ryong Kang2, 3 Author Orcid Image

Journals

  1. Putri L, Kurniawan A, Mamesah M, Trisnawuri S. Perspektif Pasien Hipertensi Terhadap Implementasi Personal Health Record Berdasarkan Technology Acceptance Model. Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo 2023;9(2):332 View
  2. Lee H, Cho J, Park J, Lee H, Fond G, Boyer L, Kim H, Park S, Cho W, Lee H, Lee J, Yon D. Machine Learning–Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts. Journal of Medical Internet Research 2024;26:e51473 View
  3. Yang H, Lee J, Lee W. Factors Influencing Health Care Technology Acceptance in Older Adults Based on the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology: Meta-Analysis. Journal of Medical Internet Research 2025;27:e65269 View
  4. Anisha S, Sen A, Ahmad B, Bain C. Exploring Acceptance of Digital Health Technologies for Managing Non-Communicable Diseases Among Older Adults: A Systematic Scoping Review. Journal of Medical Systems 2025;49(1) View