Geographic variation in the rate and route of hysterectomy for benign disease in the USA: A retrospective cross-sectional study

Abstract

Objectives: To describe population rate of hysterectomy for benign disease in the USA, including geographic variation across states and Hospital Service Areas (HSAs; areas defined by common patient flows to healthcare facilities).

Design: Cross-sectional study.

Setting: Four US states including 322 HSAs.

Population: A total of 316 052 cases of hysterectomy from 2012 to 2016.

Methods: We compiled annual hysterectomy cases, merged female populations, and adjusted for reported rates of previous hysterectomy. We assessed small-area variation and created multi-level Poisson regression models.

Main outcome measures: Prior-hysterectomy-adjusted population rates of hysterectomy for benign disease.

Results: The annual population rate of hysterectomy for benign disease was 49 per 10 000 hysterectomy-eligible residents, declining slightly over time, mostly among reproductive-age populations. Rates peaked among residents ages 40-49 years, and declined with increasing age, apart from an increase with universal coverage at age 65 years. We found large differences in age-standardised population rates of hysterectomy across states (range 42.2-69.0), and HSAs (range: overall 12.9-106.3; 25th-75th percentile 44.0-64.9). Among the non-elderly population, those with government-sponsored insurance had greater variation than those with private insurance (coefficient of variation 0.61 versus 0.32). Proportions of minimally invasive procedures were similar across states (71.0-74.8%) but varied greatly across HSAs (27-96%). In regression models, HSA population characteristics explained 31.8% of observed variation in annual rates. Higher local proportions of government-sponsored insurance and non-White race were associated with lower population rates.

Conclusions: We found substantial variation in rate and route of hysterectomy for benign disease in the USA. Local population characteristics explained less than one-third of observed variation.

Keywords: epidemiology: general gynaecology; gynaecological surgery: general; health services research; minimal access surgery; statistics: epidemiological surveys.