Sociotechnical Drivers and Barriers in the Consumer Adoption of Personal Health Records: Empirical Investigation

Umar Ruhi; Armin Majedi; Ritesh Chugh

doi:10.2196/30322

Sociotechnical Drivers and Barriers in the Consumer Adoption of Personal Health Records: Empirical Investigation

JMIR Med Inform. 2021 Sep 24;9(9):e30322. doi: 10.2196/30322.

Authors

Umar Ruhi¹, Armin Majedi², Ritesh Chugh³

Affiliations

¹ Business Analytics & Information Systems, Telfer School of Management, University of Ottawa, Ottawa, ON, Canada.
² University of Ottawa, Ottawa, ON, Canada.
³ College of Information & Communication Technology, School of Engineering & Technology, Central Queensland University, Melbourne, Australia.

PMID: 34343106
PMCID: PMC8501412
DOI: 10.2196/30322

Abstract

Background: Increasingly popular in the health care domain, electronic personal health records (PHRs) have the potential to foster engagement toward improving health outcomes, achieving efficiencies in care, and reducing costs. Despite the touted benefits of PHRs, their uptake is lackluster, with low adoption rates.

Objective: This paper reports findings from an empirical investigation of the sociotechnical factors affecting the adoption of PHRs.

Methods: A research model comprising personal and technological determinants of PHR adoption was developed and validated in this study. Demographic, technographic, and psychographic data pertaining to the use of PHRs were collected through a web-based questionnaire for past, current, and potential users. Partial least squares-based structural equation modeling was used to estimate a structural model of cognitive and affective factors impacting intentions to use PHRs.

Results: The analysis revealed that in addition to the expected positive impact of a PHR system's usefulness and usability, system integration also positively affects consumers' intention to adopt. The results also suggest that higher levels of perceived usability and integration do not translate into higher levels of perceived usefulness. The study also highlights the importance of subjective norms, technology awareness, and technology anxiety as direct antecedents of the intention to adopt PHRs. The differential effects of the adoption factors are also discussed.

Conclusions: We hope that our study will contribute to the understanding of consumer adoption of PHRs and help improve the design and delivery of consumer-centric health care technologies. After discussing the implications for research, we provide suggestions and guidelines for PHR technology developers and constituents in the health care delivery chain.

Keywords: PHR; consumer health informatics; electronic personal health records; patient facing information systems; technology acceptance; technology adoption.

©Umar Ruhi, Armin Majedi, Ritesh Chugh. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 24.09.2021.