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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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Harmonizing Qualitative Data Across Multiple Health Systems to Identify Quality Improvement Interventions: A

Robin T Higashi1,2, Gina Kruse3, Julie Richards4,5

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International Journal of Qualitative Methods
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PubMed
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Harmonizing qualitative data across diverse healthcare systems reveals insights for improving clinical processes. This method aids implementation science by understanding context and accelerating quality improvement interventions.

Keywords:
cancer preventioncancer screeninggrounded theoryimplementation sciencemixed methodsqualitative evaluationqualitative research designstructured observation

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Area of Science:

  • Implementation Science
  • Qualitative Research Methods
  • Healthcare Systems Analysis

Background:

  • Healthcare system heterogeneity impacts practice implementation and care delivery.
  • Quantitative data harmonization is common, but qualitative data harmonization across sites is underexplored.
  • Understanding how to harmonize qualitative data is crucial for cross-site healthcare delivery research.

Purpose of the Study:

  • To illustrate a methodological approach for theory-driven qualitative data harmonization.
  • To evaluate cervical cancer screening across three diverse healthcare settings within the PROSPR II Cervical Research Center.
  • To address the need for methods to compare qualitative findings across multiple, distinct healthcare systems.

Main Methods:

  • Employed a multi-modal qualitative data collection strategy across three diverse healthcare systems.
  • Utilized a theory-driven sampling strategy based on a cervical cancer screening process model, adapted for system-specific contexts.
  • Analyzed data using operational domains from the screening model and constructs from the Consolidated Framework for Implementation Research and Normalization Process Theory.

Main Results:

  • Qualitative data harmonization revealed specific insights into clinical processes.
  • Demonstrated opportunities for improving clinical processes across the studied healthcare systems.
  • Exemplars highlighted the value of harmonized qualitative data in identifying areas for intervention.

Conclusions:

  • This approach advances qualitative methods in implementation science by systematically assessing context.
  • Harmonizing qualitative data effectively elucidates the impact of process factors on healthcare delivery.
  • The methodology accelerates the identification of opportunities for quality improvement interventions in multi-site health systems.