Purpose of this study was to identify variables near hospital admissio
n that could identify patients at risk for placement, death, or readmi
ssion. The goals were to assess sensitivity and specificity of screeni
ng strategies in predicting adverse outcomes that deter or affect home
health care. We evaluated whether generic screens might efficiently i
dentify type of outcome. Criteria reported in the literature were used
to predict outcomes for 1,332 admissions. Factors that discriminated
type of outcome included comorbidity, mental status, living arrangemen
t, transfer to special care, prior admission, iatrogenic trauma, and p
ending litigation. We conclude risk scores can accurately predict outc
ome of hospital treatment, which may be useful in targeting patients f
or intervention. Using billing data, although rather insensitive, was
the most cost-effective strategy.