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Maximizing the utility of interorganizational data using concept mapping.

Mary K Anthony1, Patricia A Higgins

  • 1Kent State University, Kent, Ohio, USA. manthony@kent.edu

The Journal of Nursing Administration
|May 18, 2006
PubMed
Summary
This summary is machine-generated.

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Concept mapping effectively identified patient satisfaction domains (caring, communication, responsiveness) across institutions. This method linked satisfaction to patient outcomes like falls and infections, improving multi-institutional research validity.

Area of Science:

  • Health Services Research
  • Patient Outcomes
  • Healthcare Quality Improvement

Background:

  • Lack of standardized patient outcome data collection across institutions threatens research validity and generalizability.
  • Interorganizational research requires robust methodologies to ensure consistent data interpretation.
  • Variability in patient satisfaction tools across hospitals complicates comparative analysis.

Purpose of the Study:

  • To apply concept mapping to a nonstandardized, interorganizational patient satisfaction dataset.
  • To identify, define, and visually represent common conceptual domains of patient satisfaction.
  • To validate conceptual relationships and test links between patient satisfaction and other patient outcomes.

Main Methods:

  • Utilized concept mapping methodology to analyze items from three different patient satisfaction tools.

Related Experiment Videos

  • Identified and grouped items into common conceptual dimensions across participating hospitals.
  • Examined conceptual correspondence among items from varied satisfaction measures.
  • Main Results:

    • Three consistent domains of patient satisfaction emerged: caring, communication, and responsiveness.
    • Moderate correlations were observed between patient satisfaction concepts and outcomes such as medication errors, nosocomial infections, and patient falls.
    • The concept map successfully visualized relationships between satisfaction and adverse patient events.

    Conclusions:

    • Concept mapping demonstrates utility as a technique for multi-institutional research, extending its traditional applications.
    • The methodology provides a framework for standardizing the analysis of nonstandardized data in healthcare research.
    • Findings highlight the importance of addressing patient satisfaction domains to potentially improve patient outcomes.