Uterine cancer in Maryland: impact of surgeon case volume and other prognostic factors on short-term mortality

Gynecol Oncol. 2006 Dec;103(3):1043-7. doi: 10.1016/j.ygyno.2006.06.018. Epub 2006 Jul 28.

Abstract

Objectives: To characterize the patterns of primary surgical care and short term outcomes for uterine cancer according to surgeon and hospital case volume.

Methods: A statewide hospital discharge database was used to identify women undergoing primary surgery for uterine cancer during 1994-2005. Surgeon case volume was categorized as low (<or=99 cases/12 years), or high (>or=100 cases/12 years). Hospital case volume was categorized as low (<or=199 cases/12 years), or high (>or=200 cases/12 years). Logistic regression models were used to evaluate for significant factors associated with in-hospital death and access to high volume care.

Results: Overall, 6,181 cases for uterine cancer were performed by 894 surgeons at 49 hospitals. Low volume surgeons performed 62.4% of the cases. Management by high volume surgeons was associated with a 53% reduction in the risk of the case being managed by different attending physician/surgeon (95% CI 0.38-0.57, p<0.00). In contrast, 90.5% of cases were performed at high volume hospitals. Management by different attending physician/surgeon was associated with a 2.6 increase in the risk of in hospital death (95%CI 1.41-4.79, p=0.00). Surgery performed by high-volume surgeons was associated with a 48% reduction in the risk of in-hospital death (95%CI 0.26-1.00, p=0.05).

Conclusions: Surgical management of uterine cancer by high volume surgeons is associated with a decrease risk in in-hospital death. Increased efforts to concentrate the surgical management of uterine cancer by high volume surgeons at high volume centers should be undertaken.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Databases, Factual
  • Female
  • Health Services Accessibility
  • Hospital Mortality*
  • Humans
  • Hysterectomy / economics
  • Hysterectomy / statistics & numerical data*
  • Logistic Models
  • Maryland / epidemiology
  • Medical Staff, Hospital / standards
  • Medical Staff, Hospital / statistics & numerical data
  • Middle Aged
  • Outcome Assessment, Health Care*
  • Patient Discharge / statistics & numerical data*
  • Risk Assessment
  • Surgery Department, Hospital / standards*
  • Surgery Department, Hospital / statistics & numerical data*
  • Uterine Neoplasms / etiology
  • Uterine Neoplasms / mortality*
  • Uterine Neoplasms / surgery*