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Preparing a large data set for analysis: using the minimum data set to study perineal dermatitis.

Kay Savik1, Qiao Fan, Donna Bliss

  • 1School of Nursing, University of Minnesota, Minneapolis, Minnesota 55455, USA. savik001@umn.edu

Journal of Advanced Nursing
|November 5, 2005
PubMed
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This study demonstrates how to refine Minimum Data Set (MDS) records for research by incorporating prescriber orders to identify perineal dermatitis risk factors. This method enhances the MDS data

Area of Science:

  • Gerontology and Geriatric Care
  • Health Services Research
  • Nursing Home Research

Background:

  • Research in nursing homes is crucial for the aging 'baby boomer' population.
  • The Minimum Data Set (MDS) is a standardized assessment tool mandated for all US nursing home residents.
  • MDS data requires significant refinement for statistical analysis, as it lacks direct measures for all clinical outcomes.

Purpose of the Study:

  • To provide a practical methodology for preparing large Minimum Data Set datasets for research analysis.
  • To operationalize risk factors for perineal dermatitis using MDS items.
  • To demonstrate the integration of external data sources to enhance MDS utility.

Main Methods:

  • Identified a specific subset of Minimum Data Set records for the study.

Related Experiment Videos

  • Extracted perineal dermatitis cases by analyzing prescriber orders.
  • Merged prescriber order data with MDS records and operationalized risk factors through composite variable creation and refinement.

    • Main Results:

    • Successfully identified cases of perineal dermatitis within the nursing home population.
    • Developed composite variables from MDS items that effectively operationalized a model for perineal dermatitis.
    • Created a refined dataset suitable for robust statistical analysis and research.

    Conclusions:

    • The described methodology enables confident data analysis using refined Minimum Data Set records.
    • Integrating data from sources like prescriber orders significantly increases the value of MDS for research.
    • This approach supports more comprehensive research on nursing home resident health outcomes.