Enhancing Qualitative and Quantitative Data Linkages in Complex Mixed Methods Designs: Illustrations From a Multi-phase Healthcare Delivery Study

Journal of Mixed Methods Research Pub Date : 2024-06-06 DOI:10.1177/15586898241257549

P. Chandanabhumma, Sriram Swaminathan, Lourdes M. Cabrera, H. Hou, Guangyu Yang, K. D. Kim, Allison M. Janda, Khalil Nassar, Preeti N. Malani, Min Zhang, Russel J Funk, Keith D. Aaronson, Justine P. Wu, Francis D. Pagani, D. Likosky

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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.

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在复杂的混合方法设计中加强定性和定量数据的联系：一项多阶段医疗服务研究的例证

虽然混合方法研究越来越多地被用于研究医疗保健服务和结果中不必要的变异性的决定因素，但仍需要新颖的综合方法来满足混合方法医疗保健服务研究的需求。本文介绍了可加强混合方法医疗保健服务研究中定性和定量维度之间联系的新颖提炼策略。利用我们的研究经验，本文展示了几种改进策略：（1）使用中介分配隐藏来促进定性抽样；（2）通过定量分析为定性调查提供信息；以及（3）培训多学科研究人员并让他们沉浸在定性数据收集和分析中。在混合方法医疗保健服务研究中制定和实施相关策略，可以提高方法的严谨性，加强多学科合作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Journal of Mixed Methods Research

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