The minimum data set: predicting malnutrition in newly admitted nursing home residents.
The purpose of this study was to describe the prevalence of protein-calorie malnutrition (PCM) among newly admitted elderly nursing home residents and identify the most significant predictors of PCM using Minimum Data Set (MDS) variables. Using a cross-sectional design, the authors studied 306 nursing home residents. Malnutrition risk factors found on the MDS were measured for each resident. Overall, 118 (38.6%) residents met the Nutrition Screening Initiative Guidelines for PCM. MDS variables found to be significant predictors were weight loss, leaves 25% or more offood uneaten at most meals, psychiatric/mood diagnoses, deteriorated ability to participate in activities of daily living. and older age. Three additional variables (antidepressant use, diuretic use, therapeutic diet) were found to be protective-residents with these variables were more likely to have a normal body mass index. MDS data provide an opportunity for early identification of residents who are at riskfor PCM and accompanying morbidity.
Crogan
Neva L
NL
College of Nursing, University of Arizona Health Sciences Center, USA.
Corbett
Cynthia F
CF
Short
Robert A
RA
D000203:Activities of Daily Living; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D003625:Data Collection / Q000379:methods*; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D008297:Male; D008403:Mass Screening / Q000379:methods; D009017:Morbidity; D009730:Nursing Assessment / Q000379:methods* / Q000592:standards; D009735:Nursing Homes; D015596:Nutrition Assessment; D009752:Nutritional Status; D010343:Patient Admission; D015995:Prevalence; D011502:Protein-Energy Malnutrition / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology*; D012307:Risk Factors; D014861:Washington / Q000453:epidemiology; D015431:Weight Loss