德尔菲Plus:一种新的方法,用于识别基于证据的数据标准,用于医疗服务决策
Peter W Clark1,2, Lauren T Williams1,2, Jessica Lee3
1School of Health Sciences and Social Work, Griffith University, Gold Coast, QLD, Australia.
Health services management research
|November 28, 2023
概括
本研究介绍了Delphi Plus,这是一种新的混合方法方法,用于识别医疗服务数据标准. 它结合了已发表的和基于实践的证据,以改善决策和质量护理.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 方法论 方法论 方法论
- 数据标准的发展 发展数据标准
背景情况:
- 卫生服务中的传统证据识别方法可能无法捕捉所有相关因素.
- 综合性评估需要整合多种知识来源.
- 制定基于证据的数据标准对于明智的医疗服务决策至关重要.
研究的目的:
- 概述一种新的顺序,混合方法,探索过程,用于识别基于证据的数据标准.
- 介绍Delphi Plus医疗服务决策方法.
- 展示Delphi Plus在生成数据标准中的应用.
主要方法:
- 一个三个阶段的连续,混合方法的探索过程,名为Delphi Plus.
- 聘请同行提名的主题专家.
- 通过代审查评估公开可用的和基于实践的证据,以达成共识.
主要成果:
- 德尔菲Plus方法提供了一个全面的过程,用于开发基于证据的数据标准.
- 它结合了已发表的文献和实践数据.
- 生成的数据标准的一个例子是澳大利亚政府的初级医疗保健10年计划.
结论:
- 德尔菲Plus提供了一个强大的框架,用于在卫生服务中制定基于证据的数据标准.
- 常规使用可以提高对客户结果的基准测试,监测和评估.
- 这种方法通过数据驱动的洞察力提高了护理质量.
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