The University of Southampton
University of Southampton Institutional Repository

Attitudes and associated factors of patients’ adoption of patient accessible electronic health records in China — a mixed methods study

Attitudes and associated factors of patients’ adoption of patient accessible electronic health records in China — a mixed methods study
Attitudes and associated factors of patients’ adoption of patient accessible electronic health records in China — a mixed methods study
Background: although patient accessible electronic health records (PAEHRs) offer great potential in enhancing the provision of patient-centered care and improving satisfaction, the adoption rate is still low. Currently, few studies are there for researchers and health organization leaders to understand patients’ thoughts and related factors of PAEHRs adoption in developing countries. China adopted more limited practices of PAEHRs, among which we selected Yuebei People's Hospital as an example.

Objective: the study aimed to research patient attitudes toward PAEHRs use and the associated factors of patients’ adoption of PAEHRs in China, which is achieved by both qualitative and quantitative studies.

Methods: this study employed sequential mixed-methods. The DeLone & McLean information systems (D&M IS) success model, Unified Theory of Acceptance and Use of Technology (UTAUT) and task-technology fit (TTF) model were used to guide the research. Finally, we collected 28 valid in-depth interview responses, 51 valid semi-structured interview responses and 235 valid questionnaire responses. The research model was tested and validated using data collected.

Results: the findings of the qualitative study reveal that patients’ rate perceived task productivity and customer satisfaction as benefits, and poor-quality information as flaws. Results of the quantitative study show that the drivers of behavioral intention are performance expectance, effort expectancy and social influence; the predictors of use behavior are TTF and behavioral intention.

Conclusion: it is necessary to consider PAEHRs’ task-tool role in patients’ adoption behavior. Hospitalized patients value PAEHRs’ practical attributes and attach much importance to the information content and application design.
mHealth, mixed methods, patient participation, patient accessible electronic health records, telehealth
2055-2076
Liu, Jing
f3ecae37-d040-4b75-955d-c677ab9e7719
Gong, Xiaoqian
ba607cf6-d9cd-49c8-a332-fc66a9c6be35
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Dai, Wei
517f472a-c87b-446d-bf60-33e34071ed5a
Hou, Shengchao
4cc3f83c-0623-413b-8d97-20c94bb0099b
Ma, Jingdong
501245a7-5608-4f92-94aa-a3ff399ba88e
Liu, Jing
f3ecae37-d040-4b75-955d-c677ab9e7719
Gong, Xiaoqian
ba607cf6-d9cd-49c8-a332-fc66a9c6be35
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Dai, Wei
517f472a-c87b-446d-bf60-33e34071ed5a
Hou, Shengchao
4cc3f83c-0623-413b-8d97-20c94bb0099b
Ma, Jingdong
501245a7-5608-4f92-94aa-a3ff399ba88e

Liu, Jing, Gong, Xiaoqian, Weal, Mark, Dai, Wei, Hou, Shengchao and Ma, Jingdong (2023) Attitudes and associated factors of patients’ adoption of patient accessible electronic health records in China — a mixed methods study. Digital Health, 9. (doi:10.1177/20552076231174101).

Record type: Article

Abstract

Background: although patient accessible electronic health records (PAEHRs) offer great potential in enhancing the provision of patient-centered care and improving satisfaction, the adoption rate is still low. Currently, few studies are there for researchers and health organization leaders to understand patients’ thoughts and related factors of PAEHRs adoption in developing countries. China adopted more limited practices of PAEHRs, among which we selected Yuebei People's Hospital as an example.

Objective: the study aimed to research patient attitudes toward PAEHRs use and the associated factors of patients’ adoption of PAEHRs in China, which is achieved by both qualitative and quantitative studies.

Methods: this study employed sequential mixed-methods. The DeLone & McLean information systems (D&M IS) success model, Unified Theory of Acceptance and Use of Technology (UTAUT) and task-technology fit (TTF) model were used to guide the research. Finally, we collected 28 valid in-depth interview responses, 51 valid semi-structured interview responses and 235 valid questionnaire responses. The research model was tested and validated using data collected.

Results: the findings of the qualitative study reveal that patients’ rate perceived task productivity and customer satisfaction as benefits, and poor-quality information as flaws. Results of the quantitative study show that the drivers of behavioral intention are performance expectance, effort expectancy and social influence; the predictors of use behavior are TTF and behavioral intention.

Conclusion: it is necessary to consider PAEHRs’ task-tool role in patients’ adoption behavior. Hospitalized patients value PAEHRs’ practical attributes and attach much importance to the information content and application design.

Text
liu-et-al-2023-attitudes-and-associated-factors-of-patients-adoption-of-patient-accessible-electronic-health-records-in - Version of Record
Download (407kB)

More information

Accepted/In Press date: 19 April 2023
Published date: 9 May 2023
Keywords: mHealth, mixed methods, patient participation, patient accessible electronic health records, telehealth

Identifiers

Local EPrints ID: 488864
URI: http://eprints.soton.ac.uk/id/eprint/488864
ISSN: 2055-2076
PURE UUID: 06d7bf46-e366-4d7f-909c-43d0a2f8efaf
ORCID for Mark Weal: ORCID iD orcid.org/0000-0001-6251-8786

Catalogue record

Date deposited: 09 Apr 2024 09:46
Last modified: 10 Apr 2024 01:34

Export record

Altmetrics

Contributors

Author: Jing Liu
Author: Xiaoqian Gong
Author: Mark Weal ORCID iD
Author: Wei Dai
Author: Shengchao Hou
Author: Jingdong Ma

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×