Changes in the probability of hysterectomy in the city of Mainz and Mainz-Bingen region, Germany

Tanaka LF, Schoffer O, König J, Weyer-Elberich V, Blettner M, Klug SJ

Research article (journal) | Peer reviewed

Abstract

Background: To assess the hysterectomy probability by calendar period and age, the overall and the age-specific prevalence of hysterectomy in women aged 30-65 years. Methods: Baseline data (2005-2007) from the population-based MARZY study conducted in Mainz and Mainz-Bingen, Germany, were analysed. 6429 women aged 30-65 years were asked whether they had undergone a hysterectomy and the date and indication of the procedure. We calculated the 5-year age-specific prevalence of hysterectomy and estimated the probability of undergoing a hysterectomy combining two approaches: 1) Kaplan-Meier and 2) Inverse probability weighting (IPW). We assessed potential changes over calendar periods by simulating survival curves, having hysterectomy as the event, employing a Cox proportional hazard model. Results: Data on hysterectomy were available for 4719 women. Of these, 961 (20.4%) had undergone a hysterectomy between 1960 and 2006. The hysterectomy prevalence was highest among the 60-64 year-olds (40.7%). The IPW-corrected probability of having a hysterectomy up to the age of 65 years was 36.4%. The age-specific probability of hysterectomy increased from 0.1% (20-24 years), peaking at 45-49 years (7.8%) and declining thereafter to less than 5% among women aged 50 and older. Over time, women were hysterectomised at an increasingly older age. Most hysterectomies (86.7%) were done due to benign disease. Conclusions: A shift to older age at hysterectomy with an advancing calendar period likely reflects changes in clinical practice in Germany.

Details about the publication

JournalBMC Public Health
Volume23
Issue1
StatusPublished
Release year2023
Language in which the publication is writtenEnglish
DOI10.1186/s12889-022-14916-w
KeywordsEpidemiology; Gynaecological surgery; Inverse-probability-weighting; Kaplan–Meier; Missing data

Authors from the University of Münster

Weyer-Elberich, Veronika
Institute of Biostatistics and Clinical Research (IBKF)