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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedOgarek JA, McCreedy EM, Thomas KS
Minimum data set changes in health, end-stage disease and symptoms and signs scale: a revised measure to predict mortality in nursing home residents.
The purpose of this study was to revise the Minimum Data Set (MDS) Changes in Health, End-stage disease and Symptoms and Signs (CHESS) scale, an MDS 2.0-based measure widely used to predict mortality in institutional settings, in response to the release of MDS 3.0. The MDS-CHESS 3.0 predicts mortality in newly admitted and long-stay nursing home populations. The additional relationship to hospitalizations and successful discharges to community increases the utility of this scale as a potential risk adjustment tool.
AHRQ-funded; HS000011.
Citation: Ogarek JA, McCreedy EM, Thomas KS .
Minimum data set changes in health, end-stage disease and symptoms and signs scale: a revised measure to predict mortality in nursing home residents.
J Am Geriatr Soc 2018 May;66(5):976-81. doi: 10.1111/jgs.15305..
Keywords: Shared Decision Making, Elderly, Health Status, Mortality, Nursing Homes