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Measuring behavioral and mood disruptions in nursing home residents using the Minimum Data Set
1College of Nursing, Institute on Aging, University of Florida, USA. ahorgas@nursing.ufl.edu
Abstract:
The Minimum Data Set (MDS) is a standardized assessment tool designed to provide a comprehensive biopsychosocial assessment of medical, behavioral, and cognitive status of nursing home residents. This pilot study examined the relationships of three MDS subscales--cognition, depressive symptoms, and behavioral disruptions--to other measures of the same domains (e.g., diagnosed dementia and depression and caregiver ratings on the Revised Memory and Behavior Problems Checklist [RMBPC]). The sample consisted of 135 nursing home residents with a mean age of 84 years. Based on the MDS, there was a high prevalence of cognition-related behaviors but a low prevalence of disruptive and depressed behaviors. The prevalence rates were substantially different according to the RMBPC. In addition, most of the MDS subscales failed to differentiate between residents with and without diagnosed dementia and depression, whereas caregiver ratings on the RMBPC did. The MDS and RMBPC subscales were modestly related but only in residents without dementia. These findings raise questions about the validity of the MDS in measuring nursing home residents' behavior, especially depressive and disruptive behaviors. Thus, caution should be employed in using the MDS as a sole outcome measure for these behaviors, and the use of multiple measures is suggested.
Insights
The Minimum Data Set (MDS) may not accurately measure depressive or disruptive behaviors in nursing home residents. Caregiver ratings using the Revised Memory and Behavior Problems Checklist (RMBPC) showed better validity than the MDS for these behaviors.
Area of Science:
- Gerontology
- Psychiatry
- Health Services Research
Background:
- The Minimum Data Set (MDS) is a standardized tool for assessing nursing home residents' biopsychosocial status.
- Accurate assessment of cognition, depression, and behavior is crucial for resident care.
Purpose of the Study:
- To examine the validity of MDS subscales for cognition, depressive symptoms, and behavioral disruptions.
- To compare MDS measures with other established assessment tools in nursing home residents.
Main Methods:
- A pilot study involving 135 nursing home residents (mean age 84).
- Compared MDS subscales with diagnoses of dementia/depression and caregiver ratings on the Revised Memory and Behavior Problems Checklist (RMBPC).
Main Results:
- MDS indicated high prevalence of cognitive behaviors but low prevalence of disruptive/depressed behaviors, contrasting with RMBPC findings.
- Most MDS subscales did not differentiate residents with/without dementia or depression, unlike RMBPC caregiver ratings.
- MDS and RMBPC subscales showed modest correlation only in residents without dementia.
Conclusions:
- Findings question the validity of MDS for measuring depressive and disruptive behaviors in nursing home residents.
- Caution is advised when using MDS as the sole outcome measure for these behaviors.
- Utilizing multiple assessment measures is recommended for a comprehensive evaluation.