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Psychometric characteristics of the minimum data set II: validity
M P Lawton1, R Casten, P A Parmelee
1Polisher Research Institute, Philadelphia Geriatric Center, and Temple University School of Medicine, Pennsylvania 19141, USA.
Journal of the American Geriatrics Society
|June 13, 1998
Summary
The Minimum Data Set (MDS) shows validity for research, particularly in cognition and daily living functions. However, improvements are needed for depression and problem behavior measures in nursing home residents.
Area of Science:
- Gerontology
- Health Services Research
- Psychometrics
Background:
- The Minimum Data Set (MDS) is a standardized assessment tool used in nursing homes.
- Its validity as a research data source requires rigorous evaluation.
Purpose of the Study:
- To determine the validity of the Minimum Data Set (MDS) for research purposes.
- To assess the reliability of MDS domain scores against established measures.
Main Methods:
- Correlated MDS domain scores with independent measures of behavioral and mental health functions in 513 nursing home residents.
- Utilized confirmatory factor analysis to derive MDS item-composite scores for cognition, ADL, time use, depression, and problem behaviors.
- Tested hypotheses regarding the relationships between MDS domains and standard assessment tools.
Main Results:
- The majority of hypotheses were supported, indicating the MDS is a usable research data source.
- Validity coefficients were modest, suggesting room for improvement.
- MDS domains for cognition, ADL, and Time Use demonstrated stronger affirmation than depression and problem behaviors.
Conclusions:
- The MDS is largely valid for research, especially for assessing cognition and activities of daily living.
- Areas such as depression and problem behaviors require refinement in the MDS measurement or training.
- Further improvements in MDS training and measurement forms are recommended for enhanced data quality.
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