Unbiased risk assessment models base health plan payments on enrollee
health care needs. We explored the risk structure of employed adult he
alth maintenance organization (HMO) members using the RAND-36 health s
urvey. We used multivariate techniques to estimate risk weights on dem
ographic and health status factors. The dependent variable was annual
real total health plan expense for covered services for the year follo
wing the survey. Repeated random-split-sample validation techniques mi
nimized outlier influences. Five scales improved prediction over simpl
e demographic factors, but demographic factors still were required to
achieve unbiased forecasts. Self-reported health status is a useful an
d powerful risk measure for adults.