PURPOSE: A life table method is used for correcting hysterectomy rates and
probabilities for prevalent cases of hysterectomies in the population. Both
corrected and conventional hysterectomy rates and probabilities are report
ed.
METHODS: Hysterectomy prevalence estimates are derived from cross-sectional
hysterectomy and mortality using a life table method. Analysis is based on
the Utah Hospital Discharge Data Base and State death certificates.
RESULTS: Hysterectomy rates are strongly influenced by age, reaching 150 pe
r 10,000 for ages 45-49 years. The corresponding corrected hysterectomy rat
e is 196. Differences between the corrected and uncorrected cause-specific
hysterectomy rates tend to be most pronounced at their peaks, particularly
later in life where the prevalence of hysterectomy is greatest. Probability
of hysterectomy approaches slightly above 35% over the life span, whereas
the corrected hysterectomy probability approaches 43%. Probability of hyste
rectomy in the next 10 years is 12.9% fur women aged 35 years and 11.7% for
women aged 45 years. Corresponding corrected hysterectomy probabilities ar
e 14.3 and 15.1. Higher prevalence of hysterectomy in later ages explains t
he reverse in magnitude of the rates when the correction is applied to the
hysterectomy rates.
CONCLUSIONS: Conventional hysterectomy rates: are underestimated, particula
rly in older age groups. A prevalence correction of the rates and probabili
ties is necessary to fully understand the potential health related conseque
nces and impact of this medical procedure in the population. Ann Epidemiol
2001;11:127-135. (C) 2001 Elsevier Science Inc. All rights reserved.