Evidence map›Paper›PMID 36620284›Full record

ArticleFrontiers in public health2022

Using standardized patients to assess the quality of type 2 diabetes care among primary care providers and the health system: Evidence from rural areas of western China.

Yuju Wu, Ruixue Ye, Chang Sun, Sha Meng, Zhengjie Cai, Linhua Li, Sean Sylvia, Huan Zhou, Lucy Pappas, Scott Rozelle

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Social determinants of health and type 2 diabetes in Asia.Journal of diabetes investigation · 2025
    Review
  3. Article
  4. Review
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

10 authors at 3 institutions in 2 countries.

Yuju WuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Ruixue YeWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Chang SunWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Sha MengDepartment of Operation Management, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhengjie CaiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Linhua LiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Sean SylviaDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Huan ZhouWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Lucy PappasFreeman Spogli Institute for International Studies, Stanford University, Stanford, CA, United States.
Scott RozelleFreeman Spogli Institute for International Studies, Stanford University, Stanford, CA, United States.
Sichuan University · CNStanford University · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Improving type 2 diabetes (T2D) care is key to managing and reducing disease burden due to the growing prevalence of diabetes worldwide, but research on this topic, specifically from rural areas, is limited. This study uses standardized patients (SPs) to assess T2D care quality among primary care providers to access the healthcare system in rural China. Methods: Using multi-stage random sampling, health facilities, providers, and households were selected. SPs were used to evaluate providers' T2D care quality and a questionnaire survey was used to collect patient sorting behaviors from households. Logistic regression was used to explore factors correlated with T2D care quality. Provider referral and treatment rates were combined with patient sorting behaviors to assess the overall quality of T2D management by rural China's healthcare system. Results: A total of 126 providers, 106 facilities, and 750 households were enrolled into this study. During SP interactions, 20% of rural providers followed the national guidelines for T2D consultation, 32.5% gave correct treatment, and 54.7% provided lifestyle suggestions. Multi-variable regression results showed that providers who had earned practicing certificates (β = 1.56, 95% CI: 0.44, 2.69) and saw more patients (β = 0.77, 95%: 0.25, 1.28) were more likely to use a higher number of recommended questions and perform better examinations, whereas providers who participated in online training were less likely to practice these behaviors (β = -1.03, 95%: -1.95, -0.11). The number of recommended questions and examination (NRQE) was the only significant correlated factor with correct treatment (marginal effect = 0.05, 95%: 0.01, 0.08). Throughout the rural healthcare system, 23.7% of T2D patients were treated correctly. Conclusion: The quality of T2D care in rural western China, especially throughout the consultation and treatment process during a patient's first visit, is poor. Online training may not improve T2D care quality and low patient volume was likely to indicate poor care quality. Further research is needed to explore interventions for improving T2D care quality in rural China's healthcare system.

Indexed as

Diabetes Mellitus, Type 2ChinaHumansPrimary Health CareQuality of Health Carehealthcare systemprimary carequality of type 2 diabetes carerural Chinastandardized patients

Identifiers

PMID36620284
PMCPMC9815030
OpenAlexW4312186906

What OpenQuestion holds

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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.