Prevalence corrected hysterectomy rates and probabilities in Utah

Authors
Citation
Rm. Merrill, Prevalence corrected hysterectomy rates and probabilities in Utah, ANN EPIDEMI, 11(2), 2001, pp. 127-135
Citations number
31
Categorie Soggetti
Envirnomentale Medicine & Public Health
Journal title
ANNALS OF EPIDEMIOLOGY
ISSN journal
10472797 → ACNP
Volume
11
Issue
2
Year of publication
2001
Pages
127 - 135
Database
ISI
SICI code
1047-2797(200102)11:2<127:PCHRAP>2.0.ZU;2-D
Abstract
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.