Evidence map›Paper›PMID 41237156›Full record

ArticlePloS one2025

Can telemedicine help integrate the referral-based healthcare system? An economic and operational analysis.

Xuejing Cao, Guohao Li, Heng Zhao

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Xuejing CaoSchool of Business, Shaoxing University, Shaoxing, China.ORCID https://orcid.org/0000-0002-9027-0543
Guohao LiSchool of Economics and Management, Tongji University, Shanghai, China.
Heng ZhaoSchool of Economics and Management, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0002-0130-620X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTelemedicine can help specialists in providing efficient care to patients from a distance and it has been growing steadily in healthcare. This study aims to provide an operational perspective by investigating the effect of telemedicine on patients' choices, healthcare providers' service decisions, service quality and total social welfare.

methodsWe propose an optimization model that incorporates patients' choices and physicians' actions under two scenarios: full coverage and partial coverage. We analyze the model and conduct numerical experiments to explore the impact of telemedicine in a referral-based healthcare system with heterogeneous patients.

resultsThe findings show that telemedicine can induce greater collaboration between generalists and the specialist, which would result in the specialist spending less time on each patient. Interestingly, we find that after the introduction of telemedicine, the average quality cost decreases under full coverage but increases under partial coverage. Moreover, the introduction of telemedicine could lead to higher social welfare as it improves the accessibility of services to patients, especially in rural areas. Finally, this study also demonstrates that the referral-based healthcare system may benefit more from telemedicine when there is a heavier travel burden for patients or a higher financial incentive for generalists.

conclusionThe introduction of telemedicine mainly contributes to the patients' service accessibility, particularly for patients in remote areas, and can foster closer collaboration between generalists and specialists. However, in hospitals where medical resources are already strained, it may worsen specialist overuse and lead to lower service quality. These findings highlight that telemedicine is not universally beneficial. The policymaker should consider regional coverage conditions and use targeted financial incentives to improve its effectiveness within referral-based healthcare systems.

Indexed as

Delivery of Health CareReferral and ConsultationTelemedicineHumans

Identifiers

PMID41237156
PMCPMC12617913

What OpenQuestion holds

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LicenceCC BY
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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.