Evidence map›Paper›PMID 41915895›Full record

ArticleJournal of medical Internet research2026

Association Between Telemedicine Adoption and Physician Job Satisfaction: Cross-Sectional Study.

Xiaohui Zhai, Zhongliang Zhou, Zhichao Wang, Guanping Liu, Peter C Coyte

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaohui ZhaiSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID http://orcid.org/0000-0003-1756-7081
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China, 86 18291498261.ORCID http://orcid.org/0000-0002-3850-4752
Zhichao WangSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China, 86 18291498261.ORCID http://orcid.org/0000-0002-4397-8469
Guanping LiuSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China, 86 18291498261.ORCID http://orcid.org/0000-0003-1842-1033
Peter C CoyteInstitute of Health Policy, Management & Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-2993-3491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine has expanded rapidly in recent years, with particularly pronounced growth following the COVID-19 pandemic. By improving access to care and offering greater flexibility in service delivery, it has become an important component of health care. Although the benefits of telemedicine for patients are well documented, its effects on physician job satisfaction remain insufficiently understood. Given the importance of job satisfaction for workforce stability, physician well-being, and quality of care, further examination of how telemedicine affects physician job satisfaction is warranted. Objective: This study aims to examine the association between telemedicine adoption and physician job satisfaction and to assess whether the physician-patient relationship mediates this association. Methods: A cross-sectional survey was conducted among health care professionals in Xi'an, China. Data were collected between November 7 and December 8, 2023, via an online questionnaire administered using the REDCap (Research Electronic Data Capture; Vanderbilt University) platform. A total of 12,052 physicians were included in the analysis. Physician job satisfaction was measured using a validated 6-point Likert scale. Telemedicine adoption was assessed through self-report. A partial proportional odds model was used to examine the association between telemedicine adoption and job satisfaction, adjusting for a comprehensive set of potential confounders. Additionally, the Karlson-Holm-Breen (KHB) decomposition method was used to explore the mediating role of physician-patient relationship quality in this association. Results: Among 12,052 surveyed physicians, 1642 (13.62%) reported adopting telemedicine, whereas 10,410 (86.38%) did not. After adjusting for demographic characteristics, work-related factors, psychological factors, and physician-patient relationship, telemedicine adoption was significantly associated with higher job satisfaction (odds ratio [OR] 1.17, 95% CI 1.05-1.30). Findings were robust across multiple sensitivity analyses. Subgroup analyses indicated that the association did not vary across physician subgroups, and no significant interaction effects were observed. Mediation analysis revealed a total effect of telemedicine on job satisfaction of 0.33 (95% CI 0.17-0.50), with an indirect effect of 0.10 (95% CI 0.07-0.13) through improved physician-patient relationships, accounting for 30.30% of the total effect. Conclusions: These findings suggest that telemedicine adoption is positively associated with physician job satisfaction, partially mediated by the physician-patient relationship. Policies should promote telemedicine adoption while prioritizing platform designs that support effective physician-patient interactions to enhance provider well-being and care outcomes.

Indexed as

Job SatisfactionPhysiciansTelemedicineAdultChinaCOVID-19Cross-Sectional StudiesDigital HealthFemaleHumansMaleMiddle AgedPhysician-Patient RelationsSurveys and Questionnairescross-sectional studyjob satisfactionphysician patient relationshiptechnology adoptiontelemedicine

Identifiers

PMID41915895
PMCPMC13038179

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.