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在复杂混合方法设计中加强定性和定量数据的联系:来自多阶段医疗服务提供研究的实例

Enhancing Qualitative and Quantitative Data Linkages in Complex Mixed Methods Designs: Illustrations from a Multi-Phase Healthcare Delivery Study.

作者信息

Chandanabhumma P Paul, Swaminathan Sriram, Cabrera Lourdes M, Hou Hechuan, Yang Guangyu, Kim K Dennie, Janda Allison M, Nassar Khalil, Malani Preeti N, Zhang Min, Funk Russell J, Aaronson Keith D, Wu Justine, Pagani Francis D, Likosky Donald S

机构信息

Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI.

Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.

出版信息

J Mix Methods Res. 2024 Jul;18(3):235-246. doi: 10.1177/15586898241257549. Epub 2024 Jun 6.

Abstract

While mixed methods research is increasingly used to examine determinants of unwarranted variability in healthcare delivery and outcomes, novel integrative approaches are required to meet the needs of mixed methods healthcare delivery research. This article describes novel refining strategies that enhance the linkage between qualitative and quantitative dimensions of a mixed methods healthcare delivery research study. Leveraging our study experiences, this paper demonstrates several refining strategies: (1) using mediated allocation concealment to facilitate qualitative sampling; (2) informing qualitative inquiry through quantitative analytics; and (3) training and immersing multidisciplinary researchers in qualitative data collection and analysis. Developing and implementing strategies in mixed methods healthcare delivery research could advance methodological rigor and strengthen multidisciplinary collaboration.

摘要

虽然混合方法研究越来越多地用于检验医疗服务提供和结果中不必要的变异性的决定因素,但需要新的综合方法来满足混合方法医疗服务提供研究的需求。本文描述了新颖的优化策略,这些策略增强了混合方法医疗服务提供研究的定性和定量维度之间的联系。利用我们的研究经验,本文展示了几种优化策略:(1)使用介导分配隐藏来促进定性抽样;(2)通过定量分析为定性探究提供信息;(3)培训多学科研究人员并让他们参与定性数据收集和分析。在混合方法医疗服务提供研究中制定和实施策略可以提高方法的严谨性并加强多学科合作。

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Achieving integration in mixed methods designs-principles and practices.实现混合方法设计的整合——原则与实践。
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