Evidence map›Paper›PMID 32994246›Full record

ArticleBMJ open2020

Is training policy for general practitioners in China charting the right path forward? a mixed methods analysis.

Jianwei Shi, Qingfeng Du, Xin Gong, Chunhua Chi, Jiaoling Huang, Wenya Yu, Rui Liu, Chen Chen, Li Luo, Dehua Yu and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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

15 authors at 6 institutions in 1 country.

Jianwei ShiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-3523-6246
Qingfeng DuGeneral Practice Center, Nanhai Hospital, Southern Medical University, Foshan, China.
Xin GongShanghai Dongfang Hospital, School of Medicine, Tongji University, Shanghai, China.
Chunhua ChiGeneral Practice Department, Peking University First Hospital, Beijing, China.
Jiaoling HuangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-1975-3937
Wenya YuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rui LiuShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Chen ChenPengpuxincun Community Health Service Center, Shanghai, China.
Li LuoSchool of Public Health, Fudan University, Shanghai, China.
Dehua YuDepartment of General Practice, Tongji University Affilliated Yangpu Hospital, Shanghai, Shanghai, China.
Hua JinDepartment of General Practice, Tongji University Affilliated Yangpu Hospital, Shanghai, Shanghai, China.
Yan YangSchool of Economics & Management, Tongji University, Shanghai, China.
Ning ChenSchool of Medicine, Tongji University, Shanghai, China.
Qian LiuSchool of Economics & Management, Tongji University, Shanghai, China.
Zhaoxin WangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China supercell002@sina.com.ORCID 0000-0002-5022-4497
Tongji University · CNShanghai Jiao Tong University · CNYangpu Hospital of Tongji University · CNFudan University · CNPeking University · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSince 2010, the Chinese government has gradually increased its investment in the training of general practitioners (GPs) to support their role as 'gatekeepers' in the healthcare system. However, this training is still organised from the perspective of specialist care. We aimed to assess the appropriateness of the principal GP admission training programme curricula in China, including Residents Training for GPs (RTGP), Residents Training for Assistant GPs (RTAGP) and Training for Specialists with General Practice interest (TSGP).

settingThe study focussed on GP training programmes in Shanghai, China.

participantsData on disease competences developed in three GP clinical training programmes (RTGP, RTAGP and TSGP) were derived from official programme training manuals. Data on the proportion of outpatient visits for each disease were taken from the Shanghai community healthcare centres grassroots outpatient database. PRIMARY AND SECONDARY OUTCOME MEASURES: We first conducted a quantitative analysis by comparing the structure of current training curricula with actual outpatient utilisation patterns across all community healthcare institutions in Shanghai from 2014 to 2018. Qualitative analysis was then conducted to evaluate GP training programmes based on Donabedian's model.

resultsQuantitative analysis showed that the distribution of diseases for which competences were taught did not match the composition of outpatient visits in community healthcare institutions. Concerns identified through qualitative analysis included teachers who were mostly specialists, lack of equipment for differential diagnosis in community healthcare institutions, insufficient teaching of referral standards and GP training in large hospitals that consistently neglected communication skills.

conclusionsThe establishment and implementation of admission training programmes for GPs in China lacks a focus on general practice training and may be improved by adopting an evidence-based general perspective aligned with the medical needs of the community.

Indexed as

General PracticeGeneral PractitionersChinaFamily PracticeHumansPolicyhealth policyhuman resource managementpublic healthqualitative research

Identifiers

PMID32994246
PMCPMC7526309
OpenAlexW3090764780

What OpenQuestion 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 OpenQuestion graph.