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Enhancing Qualitative and Quantitative Data Linkages in Complex Mixed Methods Designs: Illustrations from a Multi-Phase Healthcare Delivery Study.
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.
Affiliation
  • Chandanabhumma PP; Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Swaminathan S; Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Cabrera LM; Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Hou H; Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Yang G; Department of Statistics, School of Public Health, University of Michigan, Ann Arbor, MI.
  • Kim KD; Strategy, Ethics, and Entrepreneurship, Darden School of Business, University of Virginia, Charlottesville, VA.
  • Janda AM; Department of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Nassar K; Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Malani PN; Department of Internal Medicine, Division of Infectious Diseases, Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Zhang M; Department of Statistics, School of Public Health, University of Michigan, Ann Arbor, MI.
  • Funk RJ; Department of Strategic Management and Entrepreneurship, Carlson School of Management, University of Minnesota, Minneapolis, MN.
  • Aaronson KD; Department of Internal Medicine, Division of Cardiovascular Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Wu J; Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Pagani FD; Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.
  • Likosky DS; Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.
J Mix Methods Res ; 18(3): 235-246, 2024 Jul.
Article in En | MEDLINE | ID: mdl-39170802
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Mix Methods Res Year: 2024 Document type: Article Country of publication: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Mix Methods Res Year: 2024 Document type: Article Country of publication: United States