对卫生专业的定性数据进行现实分析教育研究
Charlotte E Rees1,2, Dominic W Proctor3, Van N B Nguyen4
1School of Health Sciences, College of Health, Medicine & Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia.
Medical education
|August 19, 2024
概括
定性现实主义分析通过检查背景,机制和结果来解释程序的有效性. 本指南有助于研究人员改善健康专业教育中这种分析方法的批评,行为和报告.
科学领域:
- 医疗保健 职业 教育 研究 研究 研究
- 定性研究方法论 定性研究方法论
- 项目评估 项目评估
背景情况:
- 定性现实主义分析越来越多地用于卫生专业的教育研究,用于理论驱动的程序评估.
- 虽然现实主义方法通常涉及混合方法,但主要使用的是定性数据.
- 这种分析超越了描述,通过回归理论化来解释生成因果关系.
研究的目的:
- 为批评,进行和报告定性现实主义分析提供全面指南.
- 阐明现实主义分析在卫生专业教育中的基本原则和实际应用.
- 解决共同的挑战,并提出减缓策略,以提高现实分析的质量.
主要方法:
- 描述四个核心原则:同时收集/分析数据,回归理论化,配置分析 (CMOC启发式) 和质量评估 (相关性,严谨性,丰富性).
- 对15个健康专业的教育研究成果进行批判性分析,采用定性现实主义分析 (评估和综合).
- 阐明共同的分析挑战 (编码,整合,映射) 和相应的缓解策略.
主要成果:
- 确定了定性现实主义分析的四个基本原则.
- 分析了15个HPER输出,突出了应用和潜在的改进领域.
- 详细介绍了编码,整合和映射方面的常见挑战,并提供了实际的解决方案.
结论:
- 强调需要研究人员,评论员和读者加深对定性现实主义分析基础知识的理解.
- 建议遵守现实报告标准和文献,以提高现实分析的质量和报告.
- 提倡更好地了解挑战和缓解策略,以共同提高HPER中现实分析的质量.
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