Evidence map›Paper›PMID 41886749›Full record

Observational studyJournal of medical Internet research2026

Association Between Physician Communication Features and Patient Outcomes in Telemedicine: Retrospective Cross-Sectional Observational Study.

Yipei Wang, Shu Wang, Ke Zhang, Zhijie Liu, Qingbian Ma, Hong Ji, Zheng Hou, Tracy Xiao Liu, Xuedong Xu, Xinxia Wu and 1 more

Abstract readObservational Study
In one paragraph

Observational study 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

11 authors.

Yipei Wang *Department of Medical Affairs, Office of Internet Hospital, Peking University Third Hospital, Beijing, China.ORCID http://orcid.org/0009-0008-5263-8993
Shu Wang *Department of Economics, School of Economics and Management, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0000-6105-262X
Ke Zhang *Department of Medical Affairs, Office of Internet Hospital, Peking University Third Hospital, Beijing, China.ORCID http://orcid.org/0000-0002-8149-2371
Zhijie LiuSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, China.ORCID http://orcid.org/0009-0007-9403-7478
Qingbian MaDepartment of Emergency Medicine, Peking University Third Hospital, Beijing, China.ORCID http://orcid.org/0000-0002-0123-3522
Hong JiInformation Management and Big Data Center, Peking University Third Hospital, Beijing, China.ORCID http://orcid.org/0009-0002-3933-0325
Zheng HouDepartment of Medical Affairs, Office of Internet Hospital, Peking University Third Hospital, Beijing, China.ORCID http://orcid.org/0000-0002-3027-6548
Tracy Xiao LiuDepartment of Economics, School of Economics and Management, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-3052-5660
Xuedong XuPeking University People's Hospital, Beijing, China.ORCID http://orcid.org/0009-0008-5367-8989
Xinxia WuDepartment of Medical Affairs, Office of Internet Hospital, Peking University Third Hospital, Beijing, China.ORCID http://orcid.org/0009-0004-9782-0466
Changxiao JinInstitute of Hospital Management, Peking University Third Hospital, 49 North Huayuan Road, Haidian District, Beijing, 100191, China, 86 01082266191.ORCID http://orcid.org/0009-0003-9803-3379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Asynchronous telemedicine is a crucial component of multichannel health care, where effective communication drives satisfaction. However, the effectiveness of communication features remains poorly understood. Prior research relied on subjective surveys or small-scale simulations, failing to link features to objective outcomes. Understanding these features is critical for optimizing physician engagement and establishing quality indicators to enhance the patient experience. Objective: This study aimed to bridge this gap by leveraging a large-scale real-world dataset to quantify the association between physicians' communication features-including response modalities, length, and sequence-and patient repurchase behavior, as well as review scores, within a high-autonomy health care setting. Methods: This retrospective cross-sectional study analyzed 304,337 paid, patient-initiated virtual visits from a Chinese academic medical center (2021-2023), which included 823,135 physician responses. The sample was selected after applying a series of exclusion criteria, such as free consultations, team-based visits, and outlier data. The key exposures were the modality of physician responses, response length, and response sequence. Outcomes included patient loyalty and satisfaction. Loyalty was operationalized as follow-up visits within 6 months, with a 30-day exclusion period applied to same-physician (fv1) and same-department (fv2) revisits to filter out clinical necessity, but not to hospital-wide revisits (fv3). Satisfaction was measured by the review scores. We used probit and ordinary least squares regressions to examine the relationships between communication features and patient outcomes. Results: Regarding loyalty, audio-only visits were associated with the lowest fv1, with an average marginal effect (AME) of -0.030 (95% CI -0.043 to -0.016, P<.001), translating to a 30.9% (0.030/0.097) reduction compared to text-only visits. Regarding satisfaction, audio messages were associated with a significantly increased likelihood of patients providing reviews, with an AME of 0.041 (95% CI 0.006-0.076, P=.02), but they did not affect review scores after adjusting for inverse Mills ratios. Increased numbers of text and audio replies were (marginally) associated with improved fv1, with AMEs of 0.009 (95% CI 0.006-0.011, P<.001) and 0.007 (95% CI -0.000 to 0.016, P=.06), respectively. Visits beginning with a sub-5-second audio response and ending with text had significantly higher fv1 than text-only visits, with an AME of 0.069 (95% CI 0.018-0.120, P=.008). The same patterns hold for fv2 and fv3. Based on the Bonferroni test, coefficients with a P value smaller than α=.050/3=.017 or α=.50/2=.025 were regarded as significant when evaluating the association with patient loyalty or satisfaction, respectively. Conclusions: Physician communication practices were significantly associated with patient loyalty and satisfaction. This study is innovative in leveraging large-scale real-world data to systematically examine physician communication. It differs from existing studies by transcending prior survey-based research limitations. It introduces an effective hybrid approach, balancing human connection with text clarity in the field. Its implication in the real world is providing data-driven evidence to guide clinicians and policymakers in designing high-quality telemedicine services.

Indexed as

CommunicationPhysician-Patient RelationsPhysiciansTelemedicineAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient SatisfactionRetrospective Studiesasynchronous visitsbehavioral patternhealth-seeking behaviorpatient loyaltypatient satisfactionphysician-patient communicationquality of virtual caretelemedicine

Identifiers

PMID41886749
PMCPMC13021109

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.