抽样方法和质量改进方面的考虑:范围审查
Lucylynn Lizarondo1, Vanesa Bochkezanian1, Alexa McArthur1
1JBI, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia.
质量改进 (QI) 抽样优先考虑实用,非概率方法,以便及时做出决定. 需要更明确的指导,以实现医疗保健中的透明,情境敏感的抽样.
科学领域:
- 改善医疗保健质量 改善医疗保健质量
- 实施科学 实施科学
- 研究方法研究方法研究方法学
背景情况:
- 质量改进 (QI) 使用数据驱动的方法来提高医疗保健.
- 有效的抽样对于可行和相关的QI数据收集至关重要.
- 当前的QI采样方法往往是务实的,报告不一致,缺乏理由.
研究的目的:
- 确定和综合用于QI倡议的抽样策略.
- 检查QI中的抽样框架和样本大小考虑.
- 将QI采样置于证据实施和实施科学的更广泛背景中.
主要方法:
- 根据JBI的方法进行范围审查.
- 在多个数据库和组织网站上搜索同行评审和灰色文献 (2000-2024年).
- 包括提供QI采样概念/方法见解的来源;不包括经验性QI研究.
主要成果:
- 包含了10个来源,重点是用于决策的抽样,而不是统计推断.
- 非概率方法 (判断,有目的,方便) 由于上下文适合和可行性而占主导地位.
- 指出了诸如偏见和模糊的样本大小指导等局限性,很少有可操作的框架.
结论:
- 智商采样平衡了务实主义与统计学严谨性.
- 需要更清晰,适合目的的QI采样指导.
- 改进的指导可以支持透明,上下文敏感和方法上合理的抽样决策.
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