Evidence map›Paper›PMID 38113375›Full record

ArticleHealth policy and planning2024

The quality of telemedicine consultations for sexually transmitted infections in China.

Yafei Si, Hao Xue, Huipeng Liao, Yewei Xie, Dong Roman Xu, M Kumi Smith, Winnie Yip, Weibin Cheng, Junzhang Tian, Weiming Tang and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Health policy and planning, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

11 authors at 9 institutions in 5 countries.

Yafei SiCentre for International Studies on Development and Governance, Zhejiang University, No. 688 Yuhangtang Road, Hangzhou, Zhejiang 310058, China.ORCID 0000-0001-9334-8230
Hao XueStanford Center for China's Institutions and Economy, Stanford University, 616 Jane Stanford Way, Stanford, CA 94305, USA.
Huipeng LiaoUniversity of North Carolina Project-China, No313 Huanshizhong Road Guangzhou, Guangdong 510000, China.
Yewei XieUniversity of North Carolina Project-China, No313 Huanshizhong Road Guangzhou, Guangdong 510000, China.
Dong Roman XuCenter for World Health Organization Studies and Department of Health Management, School of Health Management of Southern Medical University, 1023 South Shatai Road, Guangzhou, Guangdong 510515, China.
M Kumi SmithDivision of Epidemiology and Community Health, University of Minnesota Twin Cities, 1300 South 2nd Street, Minneapolis, MN 55454, USA.
Winnie YipDepartment of Global Health and Population, Harvard University, 665 Huntington Ave, Cambridge, MA 02115, USA.
Weibin ChengInstitute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, No. 466 Xingangzhong Road, Guangzhou, Guangdong 510330, China.ORCID 0000-0002-9845-6676
Junzhang TianInstitute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, No. 466 Xingangzhong Road, Guangzhou, Guangdong 510330, China.
Weiming TangUniversity of North Carolina Project-China, No313 Huanshizhong Road Guangzhou, Guangdong 510000, China.
Sean SylviaDepartment of Health Policy and Management, University of North Carolina at Chapel Hill, 1101 McGavran-Greenberg Hall, Chapel Hill, NC 27516, USA.
University of North Carolina at Chapel Hill · USCity University of Hong Kong · HKDuke-NUS Medical School · SGGuangdong Provincial People's Hospital · CNHarvard University · USSouthern Medical University · CNStanford University · USUniversity of Minnesota · USZhejiang International Studies University · CN

Funding

World Health Organization 001
6 · The paper itself

Abstract

The burden of sexually transmitted infections (STIs) continues to increase in developing countries like China, but the access to STI care is often limited. The emergence of direct-to-consumer (DTC) telemedicine offers unique opportunities for patients to directly access health services when needed. However, the quality of STI care provided by telemedicine platforms remains unknown. After systemically identifying the universe of DTC telemedicine platforms providing on-demand consultations in China in 2019, we evaluated their quality using the method of unannounced standardized patients (SPs). SPs presented routine cases of syphilis and herpes. Of the 110 SP visits conducted, physicians made a correct diagnosis in 44.5% (95% CI: 35.1% to 54.0%) of SP visits, and correctly managed 10.9% (95% CI: 5.0% to 16.8%). Low rates of correct management were primarily attributable to the failure of physicians to refer patients for STI testing. Controlling for other factors, videoconference (vs SMS-based) consultation mode and the availability of public physician ratings were associated with higher-quality care. Our findings suggest a need for further research on the causal determinants of care quality on DTC telemedicine platforms and effective policy approaches to promote their potential to expand access to STI care in developing countries while limiting potential unintended consequences for patients.

Indexed as

PhysiciansSexually Transmitted DiseasesTelemedicineHumansQuality of Health CareReferral and Consultationdirect-to-consumer telemedicineQuality of caresexually transmitted infectionsstandardized patient

Identifiers

PMID38113375
PMCPMC11423847
OpenAlexW4389934200

What OpenQuestion holds

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LicenceCC BY-NC
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.