Literature DB >> 33249857

Factors affecting the acceptance of integrated electronic personal health records in Saudi Arabia: The impact of e-health literacy.

Yaser A Alsahafi1,2, Valerie Gay1, Adel A Khwaji1.   

Abstract

BACKGROUND: National implementation of electronic personal health record (ePHR) systems is of vital importance to governments worldwide because this type of technology promises to promote and enhance healthcare. Although there is widespread agreement as to the advantages of ePHRs, the level of awareness and acceptance of this technology among healthcare consumers has been low.
OBJECTIVE: The aim of this study was to identify the factors that can influence the acceptance and use of an integrated ePHR system in Saudi Arabia.
METHOD: The unified theory of acceptance and use of technology model was extended in this study to include e-health literacy (e-HL) and tested using structural equation modelling. Data were collected via a questionnaire survey, resulting in 794 valid responses.
RESULTS: The proposed model explained 56% of the variance in behavioural intention (BI) to use the integrated ePHR system. Findings also highlighted the significance of performance expectancy, effort expectancy, social influence (SI) and e-HL as determinants of Saudi healthcare consumers' intentions to accept and use the integrated ePHR system. Additionally, assessment of the research model moderators revealed that only gender had a moderating influence on the relationship between SI and BI. Finally, findings showed a low level of awareness among Saudi citizens about the national implementation of an integrated ePHR system, suggesting the need to promote a greater and more widespread awareness of the system and to demonstrate its usefulness.
CONCLUSION: Findings from this study can assist governments, policymakers and developers of health information technologies and systems by identifying important factors that may influence the diffusion and use of integrated ePHRs.

Entities:  

Keywords:  consumer health information; e-health; electronic personal health records; health information management; health information systems; personal health records

Mesh:

Year:  2020        PMID: 33249857     DOI: 10.1177/1833358320964899

Source DB:  PubMed          Journal:  Health Inf Manag        ISSN: 1833-3583            Impact factor:   3.185


  3 in total

1.  Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature.

Authors:  Consuela C Yousef; Teresa M Salgado; Ali Farooq; Keisha Burnett; Laura E McClelland; Laila C Abu Esba; Hani S Alhamdan; Sahal Khoshhal; Ibrahim Aldossary; Omar A Alyas; Jonathan P DeShazo
Journal:  Appl Clin Inform       Date:  2022-02-09       Impact factor: 2.342

2.  Understanding the Impact of Digital Health Strategies During the COVID-19 Outbreak in Saudi Arabia.

Authors:  Hala Alhodaib; Turki M Alanzi
Journal:  Risk Manag Healthc Policy       Date:  2021-11-11

3.  Attitudes of Patients with Chronic Diseases toward Management eHealth Applications Systems in Post-COVID-19 Times.

Authors:  Abdullah H ALsharif
Journal:  Int J Environ Res Public Health       Date:  2022-04-03       Impact factor: 3.390

  3 in total

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