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Factors and theoretical framework that influence user acceptance for electronic personalized health records

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Abstract

User acceptance has been considered a crucial issue that should be present and understand before implementing any software product. Electronic personalized health records (e-PHR) has been developed and implemented in many countries around the worlds. However, it is essential to understand the existing factors that influence them to accept or reject this technology. While describing the user acceptance of any technology is always related to the current information system (IS), literature to measure the acceptance level simultaneously determine whether the technology will be accepted. This study presents the existing and current factors that influence user acceptance of e-PHR in various country. A comprehensive literature review has been performed to obtain the factors with the user acceptance theory (UAT) implemented from the existing studies. The systematic searching of all articles related to the literature review and evaluation of user acceptance towards ePHR has been done through several keywords utilizing in the main database ScienceDirect, IEEE Xplore, Web of Science, and other scholar articles several years. This study presents the existing and current factors that influence user acceptance of e-PHR in various country. Based on the searching result, around 144 articles related to this literature have been found. However, it is approximately 50 articles been filtered out with exclusion criteria to the related literature for this study. From this 50, it is 18 articles been selected after exclusion criteria that closest to the related literature for this study have been shown in Table 2. As a result, there are 55 factors that has been found which specifically related to e-PHR user acceptance. Several factors have been found from the existing studies that influence the user to accept or reject this technology from patients, physicians, and organization perspectives. These systematic user acceptance factors will contribute to emphasize the current research opportunities and extend the research fields.

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Acknowledgements

The authors would like to thank Universiti Teknikal Malaysia Melaka (UTeM) for their support.

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Correspondence to Noorayisahbe Mohd Yaacob.

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Yaacob, N.M., Basari, A.S.H., Ghani, M.K.A. et al. Factors and theoretical framework that influence user acceptance for electronic personalized health records. Pers Ubiquit Comput 28, 29–41 (2024). https://doi.org/10.1007/s00779-021-01563-y

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