GP Synergy NSW and ACT Research and Evaluation Unit, Mayfield West, Australia.
School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.
Med Teach. 2020 Feb;42(2):204-212. doi: 10.1080/0142159X.2019.1670336. Epub 2019 Oct 9.
Relatively few general practice (GP) workplace-based assessment instruments have been psychometrically evaluated. This study aims to establish the content validity and internal consistency of the General Practice Registrar Competency Assessment Grid (GPR-CAG). The GPR-CAG was constructed as a formative assessment instrument for Australian GP registrars (trainees). GPR-CAG items were determined by an iterative literature review, expert opinion and pilot-testing process. Validation data were collected, between 2014 and 2016, during routine clinical teaching visits within registrars' first two general practice training terms (GPT1 and GPT2) for registrars across New South Wales and the Australian Capital Territory. Factor analysis and expert consensus were used to refine items and establish GPR-CAG's internal structure. GPT1 and GPT2 competencies were analysed separately. Data of 555 registrars undertaking GPT1 and 537 registrars undertaking GPT2 were included in analyses. A four-factor, 16-item solution was identified for GPT1 competencies (Cronbach's alpha range: 0.71-0.83) and a seven-factor 27-item solution for GPT2 competencies (Cronbach's alpha: 0.63-0.84). The emergent factor structures were clinically characterisable and resonant with existing medical education competency frameworks. This study establishes initial evidence for the content validity and internal consistency of GPR-CAG. GPR-CAG appears to have utility as a formative GP training WBA instrument.
相对较少的一般实践(GP)基于工作场所的评估工具已经进行了心理测量评估。本研究旨在确定一般实践注册医师能力评估网格(GPR-CAG)的内容效度和内部一致性。GPR-CAG 是为澳大利亚 GP 注册医师(培训生)构建的形成性评估工具。GPR-CAG 项目通过迭代文献回顾、专家意见和试点测试过程确定。验证数据于 2014 年至 2016 年期间在新南威尔士州和澳大利亚首都领地的注册医师的前两个一般实践培训期(GPT1 和 GPT2)的常规临床教学访问中收集。使用因素分析和专家共识来改进项目并建立 GPR-CAG 的内部结构。分别分析 GPT1 和 GPT2 的能力。分析包括 555 名从事 GPT1 的注册医师和 537 名从事 GPT2 的注册医师的数据。确定了 GPT1 能力的四因素 16 项解决方案(Cronbach's alpha 范围:0.71-0.83)和 GPT2 能力的七因素 27 项解决方案(Cronbach's alpha:0.63-0.84)。新兴的因素结构在临床上具有可描述性,并与现有的医学教育能力框架产生共鸣。本研究为 GPR-CAG 的内容效度和内部一致性提供了初步证据。GPR-CAG 似乎可用作形成性 GP 培训 WBA 工具。