Compression of Morbidity and Mortality: New Perspectives

Abstract

Compression of morbidity is a reduction over time in the total lifetime days of chronic disability, reflecting a balance between (1) morbidity incidence rates and (2) case-continuance rates-generated by case-fatality and case-recovery rates. Chronic disability includes limitations in activities of daily living and cognitive impairment, which can be covered by long-term care insurance. Morbidity improvement can lead to a compression of morbidity if the reductions in age-specific prevalence rates are sufficiently large to overcome the increases in lifetime disability due to concurrent mortality improvements and progressively higher disability prevalence rates with increasing age. Compression of mortality is a reduction over time in the variance of age at death. Such reductions are generally accompanied by increases in the mean age at death; otherwise, for the variances to decrease, the death rates above the mean age at death would need to increase, and this has rarely been the case. Mortality improvement is a reduction over time in the age-specific death rates and a corresponding increase in the cumulative survival probabilities and age-specific residual life expectancies. Mortality improvement does not necessarily imply concurrent compression of mortality. This paper reviews these concepts, describes how they are related, shows how they apply to changes in mortality over the past century and to changes in morbidity over the past 30 years, and discusses their implications for future changes in the United States. The major findings of the empirical analyses are the substantial slowdowns in the degree of mortality compression over the past half century and the unexpectedly large degree of morbidity compression that occurred over the morbidity/disability study period 1984-2004; evidence from other published sources suggests that morbidity compression may be continuing.

Figure 1. Life Table Survival Functions, U.S. Males by calender Year 1900-2010(SSA Data)

Figure 2. Life Table Survival Functions, U.S. Females by calender Year 1900-2010(SSA Data)

Figure 3. Life Table Survival Functions, U.S. Males by calender Year 1900-2010, Age 10 and Older(SSA Data)

Figure 4. Life Table Survival Functions, U.S. Females by calender Year 1900-2010, Age 10 and Older(SSA Data)

Figure 5. Life Table Survival Functions, U.S. Males by calender Year 1900-2010, Age 65 and Older(SSA Data)

Figure 6. Life Table Survival Functions, U.S. Females by calender Year 1900-2010, Age 65 and Older(SSA Data)

Figure 7. Joint Relative Survival at Ages 65+ Meets Either HIPAA Trigger, United States, 1984, Males

Figure 8. Joint Relative Survival at Ages 65+ Meets Either HIPAA Trigger, United States, 2004, Males

Figure 9. Joint Relative Survival at Ages 65+ Meets Either HIPAA Trigger, United States, 1984, Females

Figure 10. Joint Relative Survival at Ages 65+ Meets Either HIPAA Trigger, United States, 2004, Females