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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jul 5, 2022
Open Peer Review Period: Jul 5, 2022 - Jul 19, 2022
Date Accepted: Oct 18, 2022
(closed for review but you can still tweet)

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

Factors Influencing Adoption and Use of Telemedicine Services in Rural Areas of China: Mixed Methods Study

Tang W, Du Y, Zhou Q, Cheng W, Zhang Z, Hoelzer S, Liang Y, Xue H, Ma X, Sylvia S, Tian J

Factors Influencing Adoption and Use of Telemedicine Services in Rural Areas of China: Mixed Methods Study

JMIR Public Health Surveill 2022;8(12):e40771

DOI: 10.2196/40771

PMID: 36563026

PMCID: 9823570

Utilization of telemedicine services in rural areas, China: a mixed-method study

  • Weiming Tang; 
  • Yumeng Du; 
  • Qiru Zhou; 
  • Weibin Cheng; 
  • Zhang Zhang; 
  • Samantha Hoelzer; 
  • Yizhi Liang; 
  • Hao Xue; 
  • Xiaochen Ma; 
  • Sean Sylvia; 
  • Junzhang Tian

ABSTRACT

Background:

The shortage of medical resources in rural China reflects the health inequity in resource-limited settings, while telemedicine could provide opportunities to fill this gap. However, evidence of patient’s acceptance of telemedicine services from low and middle-income countries is still lacking.

Objective:

This study aims to understand the profile of patient end-user telemedicine utilization and identify factors influencing telemedicine service utilization in rural China.

Methods:

Our study followed a mixed-method approach, with a quantitative cross-sectional survey followed by in-depth semi-structured interviews to describe telemedicine usage and its associated factors among rural residents in Guangdong Province, China. In quantitative analysis, explanatory variables include environmental/context factors, household-level factors, individual sociodemographic factors, access to digital health care, and health needs/demand factors. Univariate analysis and multivariable analysis were conducted using Firth logistic regression to examine correlates of telemedicine uptake. A thematic approach was used, guided by Social Cognitive Theory for the qualitative analysis.

Results:

A total of 2101 households were recruited for the quantitative survey. With a mean age of 61.4 (61.40.65) years old, more than 70% (72.9%) of the household respondents were male. Less than 1% (0.67%, 14/2101)of the respondents reported experience of using telemedicine. The quantitative results supported that villagers living with family members who caught a fever in the past two weeks (aOR: 6.96, 95% CI:2.20~21.98, P=.001) or having smartphones/computers (aOR: 3.71, 95% CI: 0.64~21.32, P=.14) had marginally higher telemedicine uptake, while the qualitative results endorse these findings. Results of qualitative interviews (n=27) also supplemented the potential barriers to telemedicine utilization from the lack of knowledge, trust, demand, low self-efficacy, and sufficient physical and social support.

Conclusions:

The present study found extremely low utilization of telemedicine in rural China and potential factors affecting telemedicine uptake. This work also suggests main issues to address for enhancing telemedicine scaling up in rural China, including improving digital literacy, building trust and self-efficacy, and strengthening the technical support and delivery system. Clinical Trial: ChiCTR2100053872


 Citation

Please cite as:

Tang W, Du Y, Zhou Q, Cheng W, Zhang Z, Hoelzer S, Liang Y, Xue H, Ma X, Sylvia S, Tian J

Factors Influencing Adoption and Use of Telemedicine Services in Rural Areas of China: Mixed Methods Study

JMIR Public Health Surveill 2022;8(12):e40771

DOI: 10.2196/40771

PMID: 36563026

PMCID: 9823570

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.