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Health Care Providers' Acceptance of a Personal Health Record: Cross-sectional Study

Yousef Consuela Cheriece; Salgado Teresa M.; Farooq Ali; Burnett Keisha; McClelland Laura E.; Abu Esba Laila Carolina; Alhamdan Hani Solaiman; Khoshhal Sahal; Aldossary Ibrahim Fahad; Alyas Omar Anwar; DeShazo Jonathan P.

Health Care Providers' Acceptance of a Personal Health Record: Cross-sectional Study

Yousef Consuela Cheriece
Salgado Teresa M.
Farooq Ali
Burnett Keisha
McClelland Laura E.
Abu Esba Laila Carolina
Alhamdan Hani Solaiman
Khoshhal Sahal
Aldossary Ibrahim Fahad
Alyas Omar Anwar
DeShazo Jonathan P.
Katso/Avaa
Publisher's PDF (356.8Kb)
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J M I R Publications, Inc
doi:10.2196/31582
URI
https://www.jmir.org/2021/10/e31582/
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021110253329
Tiivistelmä


Background: Personal health records (PHRs) are eHealth tools designed to support patient engagement, patient empowerment, and patient- and person-centered care. Endorsement of a PHR by health care providers (HCPs) facilitates patient acceptance. As health care organizations in the Kingdom of Saudi Arabia begin to adopt PHRs, understanding the perspectives of HCPs is important because it can influence patient adoption. However, no studies evaluated HCPs’ acceptance of PHRs in the Kingdom of Saudi Arabia.

Objective: The aim of this study was to identify predictors of HCPs’ acceptance of PHRs using behavioral intention to recommend as a proxy for adoption.

Methods: This cross-sectional study was conducted among HCPs (physicians, pharmacists, nurses, technicians, others) utilizing a survey based on the Unified Theory of Acceptance and Use of Technology. The main theory constructs of performance expectancy, effort expectancy, social influence, facilitating conditions, and positive attitude were considered independent variables. Behavioral intention was the dependent variable. Age, years of experience, and professional role were tested as moderators between the main theory constructs and behavioral intention using partial least squares structural equation modeling.

Results: Of the 291 participants, 246 were included in the final analysis. Behavioral intention to support PHR use among patients was significantly influenced by performance expectancy (β=.17, P=.03) and attitude (β=.61, P<.01). No moderating effects were present.

Conclusions: This study identified performance expectancy and attitude as predictors of HCPs’ behavioral intention to recommend PHR to patients. To encourage HCPs to endorse PHRs, health care organizations should involve HCPs in the implementation and provide training on the features available as well as expected benefits. Future studies should be conducted in other contexts and include other potential predictors.

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