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

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
JournalJournal of Mixed Methods Research
DOIs
StateAccepted/In press - 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Keywords

  • healthcare delivery
  • heart failure
  • mixed methods
  • team science

Fingerprint

Dive into the research topics of 'Enhancing Qualitative and Quantitative Data Linkages in Complex Mixed Methods Designs: Illustrations From a Multi-phase Healthcare Delivery Study'. Together they form a unique fingerprint.

Cite this