Evidence map›Paper›PMID 41248327›Full record

ArticleBMJ open2025

Maximising the potential of the National Compulsory Service Programme in rural China: a mixed methods study.

Hange Li, Xidong Guo, Ziting Guo, Peicheng Wang, Yanhua Chen, Lijun Shen, Xuejun Zeng, Yanrong He, Yanrong Du, Wannian Liang and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Hange LiVanke School of Public Health, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-6833-753X
Xidong GuoVanke School of Public Health, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-7479-3945
Ziting GuoVanke School of Public Health, Tsinghua University, Beijing, China.
Peicheng WangVanke School of Public Health, Tsinghua University, Beijing, China.
Yanhua ChenVanke School of Public Health, Tsinghua University, Beijing, China.
Lijun ShenVanke School of Public Health, Tsinghua University, Beijing, China.
Xuejun ZengDepartment of Family Medicine and Division of General Internal Medicine, Peking Union Medical College Hospital, Beijing, China.ORCID http://orcid.org/0000-0002-6426-7586
Yanrong HeVanke School of Public Health, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-8144-0424
Yanrong DuVanke School of Public Health, Tsinghua University, Beijing, China.
Wannian LiangInstitute for Healthy China, Tsinghua University, Beijing, China jzhu.acad@gmail.com liangwn@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-0053-2990
Jiming ZhuVanke School of Public Health, Tsinghua University, Beijing, China jzhu.acad@gmail.com liangwn@tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo alleviate the shortage of qualified physicians in rural areas, since 2010, the Chinese government has launched a National Compulsory Service Programme (NCSP) to enrol medical students for future work in township health centres (THCs) as general practitioners (GPs). The educational background of NCSP GPs is the best at THCs. This study aims to evaluate whether NCSP GPs have contributed to improving the quality of patient care at THCs and in what way.

designThis is an explanatory sequential mixed methods study.

settingNCSP GPs are assigned to THCs in the rural areas of central and western China, where assistant physicians are permitted to practice independently as licensed physicians. The contribution of NCSP GPs was defined as the extent to which they were perceived to improve the quality of care at THCs. Job performance was defined as the aggregated value to the organisation of discrete behaviour episodes that an individual performs.

participantsFor the quantitative component, nine provinces were selected by using a stratified random sampling method based on NCSP admission numbers. A total of 2815 THC leaders completed the survey (response rate, 32%). For the qualitative component, 33 NCSP GPs were recruited for semi-structured interviews through purposive and snowball sampling method. OUTCOME MEASURES: The contribution of NCSP GPs to improvements in the quality of care at THCs was assessed as a key outcome measure.

results68% of THC leaders reported that NCSP GPs contributed considerably to improving the quality of care. The contribution of NCSP GPs was significantly and positively associated with the performance of NCSP GPs themselves (β=0.789, 95% CI 0.724 ~ 0.854) and THC remoteness (β=0.144, 95% CI 0.067 ~ 0.222), but negatively associated with the percentage of licensed physicians at the THC (β=-0.340, 95% CI -0.483 ~ -0.197) and with the turnover of NCSP GPs (β=-0.119, 95% CI -0.221 ~ -0.016). The percentage of licensed physicians has a mediating role between THC remoteness and the contribution of NCSP GPs. Interviews revealed that NCSP GPs contributed to the THC as individual clinicians, and a majority also contributed by influencing others or participating in THC management, such as by improving diagnosis and treatment performance of others, standardising patient care, teaching and training and implementing safety processes.

conclusionsNCSP GPs have a positive impact on the quality of care at THCs. In addition to working as individual competent physicians, they can contribute to the THCs in many ways. Adjustments in NCSP curriculum design, more supportive measures and better allocation processes are recommended to maximise this programme's potential.

Indexed as

General PractitionersQuality of Health CareRural Health ServicesAdultChinaFemaleHumansMaleRural PopulationSurveys and QuestionnairesChinaHealth WorkforceHuman resource managementPrimary Health CareQuality in health care

Identifiers

PMID41248327
PMCPMC12625832

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.