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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Feb 18, 2023
Open Peer Review Period: Feb 18, 2023 - Apr 15, 2023
Date Accepted: Jun 23, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Investigating Factors Influencing Medical Practitioners’ Resistance to and Adoption of Internet Hospitals in China: Mixed Methods Study

Deng W, Yang T, Deng J, Liu R, Sun X, Li G, Wen X

Investigating Factors Influencing Medical Practitioners’ Resistance to and Adoption of Internet Hospitals in China: Mixed Methods Study

J Med Internet Res 2023;25:e46621

DOI: 10.2196/46621

PMID: 37523226

PMCID: 10425818

Investigating Factors Influencing Medical Practitioners' Resistance and Adoption of Internet Hospitals in China: A Mixed-methods Study

  • Wenhao Deng; 
  • Tianan Yang; 
  • Jianwei Deng; 
  • Ran Liu; 
  • Xueqin Sun; 
  • Gang Li; 
  • Xinmei Wen

ABSTRACT

Background:

The rapid transition to internet hospitals has depended on medical practitioners’ resistance or adoption of new systems and workflows. Low engagement or acceptance of medical practitioners would result in access challenges for their patients. However, few investigations focus on barriers and facilitators of internet hospitals’ adoption from the perspective of medical practitioners.

Objective:

The aim of this study is to identify both enabling and inhibiting predictors associated with medical practitioners’ resistance and behavioral intentions to use internet hospitals by combining conservation of resources theory with the Unified Theory of Acceptance and Use of Technology (UTAUT) and technostress framework.

Methods:

A mixed-methods research design was conducted to analyze data from 16 experts in qualitative interviews and 593 medical practitioners in cross-sectional investigation across national and regional internet hospitals in China.

Results:

By conducting structural equation models, resistance to change fully mediated the influence of performance expectancy, and partially mediated the influences of social influence (Variance Accounted For [VAF]=43.3%), work overload (VAF=37.2%), and role ambiguity (VAF= 12.2%) on behavioral intentions to use internet hospitals. In addition, medical practitioners’ characteristics, including gender, age, professional title and use experience, were also significantly moderated the above influencing mechanisms.

Conclusions:

This study identified the enabling and inhibiting factors and the boundary conditions associated with medical practitioners’ resistance to change and behavioral intentions in the early stages of internet hospitals. The findings suggest the policymakers avoid the resistance and further promote the adoption of the internet hospitals by ensuring performance expectancy and social influence, and eliminating work overload and role ambiguity.


 Citation

Please cite as:

Deng W, Yang T, Deng J, Liu R, Sun X, Li G, Wen X

Investigating Factors Influencing Medical Practitioners’ Resistance to and Adoption of Internet Hospitals in China: Mixed Methods Study

J Med Internet Res 2023;25:e46621

DOI: 10.2196/46621

PMID: 37523226

PMCID: 10425818

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