Evidence map›Paper›PMID 33044546›Full record

ArticleFamily practice2021

Development and preliminary validation of the competency model for rural general practitioner in China.

Yun Wei, Yanli Liu, Xuexue Zhao, Guanghui Jin, Yali Zhao, Xiaoqin Lu

Abstract read
In one paragraph

Article in Family practice, 2021. 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
–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

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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.

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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

6 authors.

Yun WeiDepartment of General Practice, School of General Practice and Continuing Education.ORCID 0000-0002-4468-5596
Yanli LiuDepartment of General Practice, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xuexue ZhaoDepartment of General Practice, School of General Practice and Continuing Education.
Guanghui JinDepartment of General Practice, School of General Practice and Continuing Education.
Yali ZhaoDepartment of General Practice, School of General Practice and Continuing Education.
Xiaoqin LuDepartment of General Practice, School of General Practice and Continuing Education.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a shortage of rural general practitioners (GPs) in China. Training programs have been initiated to meet the needs of GP workforce in the rural areas; however, there is an absence of validated tool to assess their competencies.

objectiveThis study aimed to develop a competency model for rural general practitioner (CMRGP) after training in China and to examine its validity and reliability.

methodsA multistage process was adopted to develop the CMRGP comprised literature review, panel discussion and expert consultation, and the initial version of CMRGP was reduced from 10 domains and 77 items to 7 domains and 54 items. A pilot study was conducted among 202 rural GPs for the psychometric evaluation and application of the initial version of CMRGP, in which a questionnaire on the importance of items and self-evaluation was completed by the GPs.

resultsIn the pilot study, 132 completed questionnaires (65.3%) were returned. Acceptability and face validity of the CMRGP were supported by high importance scores of the items, in which 52 out of 54 items achieved score higher than 4.00 (possible score from 0 to 5). Factor analysis supported the construct validity. After the modification, the final version of CMRGP contained 6 domains and 47 items. Good reliability was supported by internal consistency reliability (Cronbach's α was 0.98) and split-half reliability (Spearman-Brown coefficient was 0.99).

conclusionsThe CMRGP demonstrated good reliability and validity. Pilot study showed its potential for application in the rural general practice and training program.

Indexed as

General PractitionersChinaHumansPilot ProjectsPsychometricsReproducibility of ResultsSurveys and QuestionnairesAssessmentChinacompetencygeneral practitionerrural healthtraining

Identifiers

PMID33044546
PMCPMC8211145

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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.