Developing a competency model for Chinese general practitioners: a mixed-methods study.

IF 3.9 2区 医学 Q1 HEALTH POLICY & SERVICES
Xue Gong, Xu Zhang, Xinyan Zhang, Yixuan Li, Yang Zhang, Xiaosong Yu
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引用次数: 0

Abstract

Background: The Chinese government has formulated a series of policies and strengthened training of general practitioners (GPs) to support their role as "gatekeepers" of residents' health. This study aimed to explore the core competencies of Chinese GPs and develop a competency framework in line with China's actual conditions, which can provide a more scientific basis for the education, training, and evaluation of GPs.

Methods: Literature analysis and behaviour event interviews were conducted to build the competency dictionary and the initial version of the competency model. Two rounds of Delphi were performed to gain consensus on the final model. The questionnaire survey was carried out in 10 provinces (municipalities, autonomous regions) of China, and GPs were invited to score the importance of each competency item. The total sample was randomly divided into two groups. One group was for exploratory factor analysis (EFA), and the other was for confirmatory factor analysis (CFA) to examine the scale's reliability and validity.

Results: The dictionary of general practitioners' competency including 107 competency items was constructed. After two rounds of Delphi, a consensus was reached on 60 competencies in 6 domains. A total of 1917 valid questionnaires were obtained in the nationwide survey. The average importance score of all second-level indicators is 4.53 ± 0.45. The Cronbach's α coefficient is 0.984. The results of the five factors extracted by EFA showing the 68.16% cumulative explained variance variation is considered to be consistent with the six dimensions obtained by Delphi after thorough discussion. The model fitness indexes obtained by CFA were acceptable (χ2/df = 4.909, CFI = 0.869, NFI = 0.841, RMSEA = 0.065). The values of the composite reliability (CR) of the six dimensions were all greater than 0.7 (0.943, 0.927, 0.937, 0.927, 0.943, 0.950), and the average of variance extracted (AVE) were all greater than 0.5 (0.562, 0.613, 0.649, 0.563, 0.626, 0.635). The results showed that the model has good reliability and validity.

Conclusion: A competency model for GPs suited to China has been developed, which may offer guidance for future training and medical licensing examinations of GPs.

为中国全科医生开发能力模型:一项混合方法研究。
背景:中国政府制定了一系列政策并加强了对全科医生的培训,以支持他们发挥居民健康 "守门人 "的作用。本研究旨在探索中国全科医生的核心胜任力,并制定符合中国实际情况的胜任力框架,为全科医生的教育、培训和评估提供更科学的依据:方法:通过文献分析和行为事件访谈,建立能力词典和能力模型的初始版本。为了就最终模型达成共识,进行了两轮德尔菲法。在中国 10 个省(市、自治区)开展问卷调查,邀请全科医生对每个胜任力项目的重要性进行打分。所有样本被随机分为两组。一组进行探索性因子分析(EFA),另一组进行确证性因子分析(CFA),以检验量表的信度和效度:结果:构建了包含 107 个能力项目的全科医生能力词典。经过两轮德尔菲讨论,就 6 个领域的 60 项能力达成了共识。在全国范围内的调查中共获得 1917 份有效问卷。所有二级指标的平均重要性得分为 4.53 ± 0.45。Cronbach's α 系数为 0.984。经过充分讨论,认为 EFA 提取的五个因子的累计解释变异率为 68.16%,与德尔菲得出的六个维度一致。CFA 得出的模型拟合度指标是可以接受的(χ2/df = 4.909,CFI = 0.869,NFI = 0.841,RMSEA = 0.065)。六个维度的综合信度(CR)均大于 0.7(0.943, 0.927, 0.937, 0.927, 0.943, 0.950),方差平均提取率(AVE)均大于 0.5(0.562, 0.613, 0.649, 0.563, 0.626, 0.635)。结果表明,该模型具有良好的信度和效度:结论:建立了适合中国国情的全科医生胜任力模型,可为今后的全科医生培训和执业资格考试提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Resources for Health
Human Resources for Health Social Sciences-Public Administration
CiteScore
8.10
自引率
4.40%
发文量
102
审稿时长
34 weeks
期刊介绍: Human Resources for Health is an open access, peer-reviewed, online journal covering all aspects of planning, producing and managing the health workforce - all those who provide health services worldwide. Human Resources for Health aims to disseminate research on health workforce policy, the health labour market, health workforce practice, development of knowledge tools and implementation mechanisms nationally and internationally; as well as specific features of the health workforce, such as the impact of management of health workers" performance and its link with health outcomes. The journal encourages debate on health sector reforms and their link with human resources issues, a hitherto-neglected area.
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