在系统性审查中应用定性比较分析:学到的教训
Dorothee Bauernschmidt1, Janina Wittmann1, Julian Hirt2
1Institute of Health and Nursing Science, Medical Faculty of Martin Luther University Halle-Wittenberg, University Medicine Halle, Halle (Saale), Germany.
概括
定性比较分析 (QCA) 可以通过解决异质性来增强复杂干预措施的系统审查. 仔细关注数据质量和综合知识对于成功应用至关重要.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 证据综合 证据综合
- 复杂的干预 复杂的干预
背景情况:
- 综合复杂干预的证据是具有挑战性的,因为人口,干预,结果和设计的异质性.
- 定性比较分析 (QCA) 提供了一种方法来识别特定结果的因果关系条件,潜在地管理异质性和复杂性.
研究的目的:
- 在基于技术的痴呆症护理干预措施的系统审查中,记录从应用QCA中学到的经验教训.
- 确定在系统审查中使用QCA的挑战和考虑因素.
主要方法:
- 从研究小组对QCA应用的初始阶段遇到的挑战的反思中得出了教训.
- 讨论了在系统性审查中使用QCA的方面,并承认QCA的不完整性.
主要成果:
- 关键的教训包括需要明确的资格标准,以捕捉干预的核心要素.
- 一个一致且充分报告的数据集,包括合适的出版类型,对于有效的QCA至关重要.
- 建议通过多视角方法整合理论和实践知识.
结论:
- 通过解决干预和上下文复杂性,QCA可以增强系统审查,从而增加知识获取.
- 足够的,报告良好的数据对于在QCA中进行系统的比较至关重要.
- 遵守复杂干预开发,实施,评估和报告准则的框架对于成功实施QCA至关重要.
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