Evidence map›Paper›PMID 37936210›Full record

ArticleBMC medical education2023

Study on a job competence evaluation system for resident physicians (including integrated postgraduates) receiving standardized training.

Yuanzheng Fu, Guoxiang Zhao, Jie Shan, Luxian Zeng

Abstract read
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Yuanzheng FuDepartment of Science and Education, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, P.R. China.
Guoxiang ZhaoDepartment of Science and Education, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, P.R. China.
Jie ShanDepartment of Science and Education, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, P.R. China.
Luxian ZengUnions of Trade, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, P.R. China. 13560164168@139.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStandardized training for resident physicians is the primary form of postgraduate medical education, and it plays a pivotal role in healthcare safety and industry stability. Currently, it has garnered significant attention from healthcare institutions.

methodsBy conducting a comprehensive literature review and a Delphi consultation in June 2022 for which 40 experts in clinical medicine, public health, and other related fields in China were invited. The indicators were adjusted according to the results of the consultation, and the final indicator weights were determined through an analytic hierarchy process.

resultsThe response rate was 100%, and the expert authority coefficient was 0.879. The consistency among the experts on the tertiary indicators, as measured by Kendall's W, was 0.675 (χ

conclusionThis study has established a concrete, objective, and quantifiable competency assessment index system for standardized training of clinical resident physicians (including integrated postgraduates). This system provides a foundation for the quantitative evaluation of the competency of clinical resident physicians (including integrated postgraduates) undergoing standardized training.

Indexed as

Clinical CompetencePhysiciansCommunicationDelphi TechniqueEducation, ContinuingHumansIntegrated educationJob competencePostgraduates pursuing a professional degreeResident physicianStandardized training

Identifiers

PMID37936210
PMCPMC10629086

What OpenQuestion holds

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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.