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Factors associated with the acceptance of the eHealth app for electronic health record sharing system: a population-based study

HumanInsight Factors associated with the acceptance of the eHealth app for electronic health record sharing system: a population-based study

J Med Internet Res. 2022 Nov 15. doi: 10.2196/40370. Online ahead of print.


BACKGROUND: In the second stage of the electronic health record sharing system (eHRSS), a mobile application "eHealth app" was launched to further enhance collaborative care among the public sector, the private sector, the community, and the caregivers.

OBJECTIVE: This study aimed 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 2,110 surveys, respondents were stratified into three groups according to their status of enrollment in the eHRSS, downloaded, and adopted eHealth app. We collected the data on social economics factors, variables of the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) Any factors identified as significant in univariate analysis (p<.20) will be included in a subsequent multivariable regression analysis model. All p values ≤.05 will be considered as statistically significant in multiple logistic regression analysis. The structural equation modelling 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, he satisfaction rate among respondents who have downloaded but not adopted the app was relatively lower, few of them perceived the downloading and acceptance process are difficult. A high proportion of current users expressed a positive attitude about continuing to adopt and recommend the applications to friends, colleagues and family members. The behavioural intention strongly predicted the acceptance of the eHealth app (β=0.89, p<.001). Attitude (β=0.30, <.001) and perceived norm β=0.37, p<.001) played important roles in determining behavioral intention, which could predict the downloading and acceptance of the eHealth app (β=0.14, 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.

PMID:36382349 | DOI:10.2196/40370

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