Evidence map›Paper›PMID 41417685›Full record

ArticleJMIR human factors2025

Bridging Policy and Practice in Telemedicine Follow-Up Identification: Multicenter Mixed Methods Study in Beijing.

Yanli Lyu, Xi Li, Huixian Li, Mingyu Gu, Xuedong Xu, Yipei Wang, Changxiao Jin

Abstract readMulticenter Study
In one paragraph

Article in JMIR human factors, 2025. 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

7 authors.

Yanli Lyu *Office of Internet Hospital, Peking University Third Hospital, Beijing, China.ORCID 0009-0006-1642-7190
Xi Li *Institute of Hospital Management, Peking University Third Hospital, North Huayuan Road 49, Beijing, 100191, China, 86 010 82266191.ORCID 0009-0003-3521-9475
Huixian LiOffice of Internet Hospital, Peking University Third Hospital, Beijing, China.ORCID 0009-0009-2912-078X
Mingyu GuDepartment of Medical Affairs, Peking University Third Hospital, Beijing, China.ORCID 0009-0006-9085-8749
Xuedong XuOffice of Internet Hospital, Peking University Third Hospital, Beijing, China.ORCID 0009-0008-5367-8989
Yipei WangInstitute of Hospital Management, Peking University Third Hospital, North Huayuan Road 49, Beijing, 100191, China, 86 010 82266191.ORCID 0009-0008-5263-8993
Changxiao JinInstitute of Hospital Management, Peking University Third Hospital, North Huayuan Road 49, Beijing, 100191, China, 86 010 82266191.ORCID 0009-0003-9803-3379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine services have been developing rapidly worldwide. Following the 2018 policy enabling telemedicine for follow-up patients, this service model has gradually gained popularity in China. However, little has been done to understand the policy's implementation across different types of medical institutions or to evaluate its effectiveness. Objective: This study aims to (1) investigate the patient eligibility assessment process in various types of institutions for telemedicine services in Beijing, (2) elucidate institutions' rationale for adopting such approaches, (3) analyze discrepancies between policy and practice, and (4) provide references for the development of telemedicine services. Methods: This mixed methods study involved 36 medical institutions in Beijing, determined based on placing in the top 20% for both service volume and service quality in 2023. The study was conducted in 2 phases. First, quantitative analyses were conducted based on the questionnaires collected from each institution's contact to gather information about the assessment process and patient prerequisites. Subsequently, qualitative analyses were conducted through thematic analysis of 36 semistructured interviews with each institution's contact to acquire their considerations of this practice. Results: These 36 institutions contributed 968,786 telemedicine visits, representing 89.5% of the total service volume in Beijing. In practice, each of the visits underwent a 2-stage eligibility assessment before the physician officially accepted the patient's request. In the first stage, for assessment approaches, 86.2% (25/29) of the nonprofit, tertiary hospitals and 14.3% (1/7) of the private, for-profit institutions automatically assessed patient eligibility, while others did it manually. The assessment was based on the scope of previous visit location, diagnosis of previous visits, and visit interval. For the scope of visit location, 22 hospitals required prior visits to the same institution. For diagnosis, 7 hospitals required patients to have an identical diagnosis. For visit intervals, 11 hospitals required it to be within 6 months. The second stage assessment was conducted by physicians. Compared with policy requirements, nonprofit hospitals had stricter requirements for the scope of visit locations. The main reasons for these discrepancies included distrust in the medical outcomes from other institutions (19/26, 73.1%) and difficulties in handling interinstitutional medical disputes (18/26, 69.2%). In addition, 61.1% (22/36) of the institutions indicated that terminations of telemedicine services were primarily due to the patient's conditions. Conclusions: This pioneering multicenter, mixed methods study delineated the patient eligibility assessment process for telemedicine services in Beijing. Discrepancies were identified between real-world practice and regulatory prerequisites. The key factors contributing to these variations included the ambiguity of policies and different priorities across institution types. Our findings suggest greater policy clarity, relaxation of regulations for new patients, and strengthened oversight of telemedicine services to improve the quality and accessibility of telemedicine.

Indexed as

Eligibility DeterminationHealth PolicyTelemedicineBeijingHumansassessment processBeijingChinafollow-up visithealth policymanagementmixed methodsprerequisitequalitytelemedicine services

Identifiers

PMID41417685
PMCPMC12716420

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.