%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 24
%N 12
%P e40370
%T Factors Associated With the Acceptance of an eHealth App for Electronic Health Record Sharing System: Population-Based Study
%A Huang,Junjie
%A Pang,Wing Sze
%A Wong,Yuet Yan
%A Mak,Fung Yu
%A Chan,Florence S W
%A Cheung,Clement  S K
%A Wong,Wing Nam
%A Cheung,Ngai Tseung
%A Wong,Martin C S
%+ The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Room 407, 4/F, School of Public Health Building, Prince of Wales Hospital, Sha Tin, 999077, Hong Kong, 852 2252 8782, wong_martin@cuhk.edu.hk
%K digital health
%K eHealth
%K electronic health record
%K system
%K mobile app
%K app
%K public
%K private
%K community
%K caregiver
%K awareness
%K perception
%K improvement
%K utility
%K technology
%K model
%K health information
%D 2022
%7 12.12.2022
%9 Original Paper
%J J Med Internet Res
%G English
%X Background: In the second stage of the Electronic Health Record Sharing System (eHRSS) development, a mobile app (eHealth app) was launched to further enhance collaborative care among the public sector, the private sector, the community, and the caregivers. Objective: This study aims to investigate the factors associated with the downloading and utilization of the app, as well as the awareness, perception, and future improvement of the app. Methods: We collected 2110 surveys; respondents were stratified into 3 groups according to their status of enrollment in the eHRSS. The primary outcome measure was the downloading and acceptance of the eHealth app. We collected the data on social economics factors, variables of the Technology Acceptance Model and Theory of Planned Behavior. Any factors identified as significant in the univariate analysis (P<.20) will be included in a subsequent multivariable regression analysis model. All P values ≤.05 will be considered statistically significant in multiple logistic regression analysis. The structural equation modeling was performed to identify interactions among the variables. Results: The respondents had an overall high satisfaction rate and a positive attitude toward continuing to adopt and recommend the app. However, the satisfaction rate among respondents who have downloaded but not adopted the app was relatively lower, and few of them perceived that the downloading and acceptance processes are difficult. A high proportion of current users expressed a positive attitude about continuing to adopt and recommend the app to friends, colleagues, and family members. The behavioral intention strongly predicted the acceptance of the eHealth app (β=.89; P<.001). Attitude (β=.30; P<.001) and perceived norm; β=.37; P<.001) played important roles in determining behavioral intention, which could predict the downloading and acceptance of the eHealth app (β=.14; P<.001). Conclusions: Despite the high satisfaction rate among the respondents, privacy concerns and perceived difficulties in adopting the app were the major challenges of promoting eHealth. Further promotion could be made through doctors and publicity. For future improvement, comprehensive health records and tailored health information should be included. 
%M 36382349
%R 10.2196/40370
%U https://www.jmir.org/2022/12/e40370
%U https://doi.org/10.2196/40370
%U http://www.ncbi.nlm.nih.gov/pubmed/36382349