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

BMC Public Health. 2023 Jan 11;23(1):84. doi: 10.1186/s12889-022-14916-w.

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.

Trial registration: Landesärztekammer Rheinland-Pfalz: 837.438.03 (4100).

Keywords: Epidemiology; Gynaecological surgery; Inverse-probability-weighting; Kaplan–Meier; Missing data.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Female
  • Germany / epidemiology
  • Humans
  • Hysterectomy* / methods
  • Middle Aged
  • Prevalence
  • Probability
  • Proportional Hazards Models