Study objective - Health expectancy is an increasingly used indicator
of population health status. It collapses both mortality and morbidity
into a single indicator, and is therefore preferred to the total life
expectancy index for populations with low mortality but high morbidit
y rates. Three methods of calculation exist: the Sullivan, double decr
ement, and multi-state methods. This report aims to describe their rel
ative advantages and limitations when used to monitor changes in popul
ation health status over time. Design - The differences between the th
ree methods are explained. Using a dynamic model of heart disease, the
effect of the introduction of thrombolytic treatment on the survival
of patients with acute myocardial infarction is calculated. The result
ing changes in health expectancy are calculated according to the Sulli
van and multi-state methods. Main results - As opposed to the double d
ecrement and the multi-state methods, the Sullivan method produces spu
rious trends in health expectancy in response to the change in surviva
l. Conclusions - Estimates of health expectancy in a dynamic situation
can be very misleading when based on the Sullivan method, with its at
tractively moderate data requirements. The multi-state method, which r
equires longitudinal studies of population health status, is often ind
ispensable.