Predicting malnutrition in nursing home residents using the minimum data set

This article describes the prevalence of protein/calorie malnutrition among newly admitted elderly nursing home residents and identifies the most significant predictors using Minimum Data Set (MDS) variables. This random selection, cross-sectional study included 266 residents, 65 and older, from three nursing homes. Malnutrition risk factors, indicators, and prevalence variables in the MDS were measured for each resident on admission to the nursing home. MDS data provide an opportunity for early identification of residents at risk for malnutrition and accompanying morbidity. Treating residents who are malnourished or at high risk for weight loss on admission could dramatically improve their quality of life.