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The Resident Assessment Instrument-Minimum Data Set 2.0 quality indicators: a systematic review
Alison M Hutchinson1, Doris L Milke, Suzanne Maisey
1School of Nursing and Midwifery, Deakin University, and Cabrini-Deakin Centre for Nursing Research, Cabrini Institute, Cabrini Health, Melbourne, Victoria, Australia. alison.hutchinson@deakin.edu.au
BMC Health Services Research
|June 17, 2010
Summary
The validity and reliability of Resident Assessment Instrument-Minimum Data Set (RAI-MDS) 2.0 Quality Indicators (QIs) are inconclusive. While useful for quality monitoring, QI results require cautious interpretation alongside other care quality evidence.
Area of Science:
- Gerontology
- Health Services Research
- Nursing Home Quality
Background:
- The Resident Assessment Instrument-Minimum Data Set (RAI-MDS) 2.0 collects data for long-term care resident care planning and monitoring.
- RAI-MDS 2.0 data are used to compute quality indicators (QIs) essential for quality improvement initiatives.
- The validity and reliability of these QIs are critical for their effective use.
Purpose of the Study:
- To systematically review research on the validity and reliability of RAI-MDS 2.0 Quality Indicators (QIs).
- To assess the current state of scientific evidence regarding RAI-MDS 2.0 QI accuracy and consistency.
Main Methods:
- A systematic review of published and grey literature was conducted.
- The search included English-language research prior to December 2008.
- Fourteen articles and one report evaluating RAI-MDS 2.0 QI validity and/or reliability were included.
Main Results:
- Studies examined individual or multiple QIs across 1-209 facilities and 109-5758 residents.
- One study found strong validity evidence for 12 of 38 chronic care QIs, recommending them for public reporting.
- Observational studies yielded mixed results for 10 individual QIs, indicating potential systematic reporting biases (under- or over-reporting).
Conclusions:
- Evidence for the reliability and validity of RAI-MDS QIs is currently inconclusive.
- RAI-MDS QIs are valuable for quality monitoring and informing improvement programs.
- Interpretation of QI results necessitates caution, with consideration of other care quality evidence sources.
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