Measuring and predicting surgeons' practice styles for breast cancer treatment in older women

Med Care. 2001 Mar;39(3):228-42. doi: 10.1097/00005650-200103000-00004.

Abstract

Background: Few measures exist to assess physicians' practice style, and there are few data on physicians' practice styles and patterns of care.

Objectives: To use clinical vignettes to measure surgeons' "propensity" for local treatments for early-stage breast cancer and to describe factors associated with propensity.

Research design and subjects: A cross-sectional mailed survey with telephone follow-up of a random sample of 1,000 surgeons treating Medicare beneficiaries in fee-for-service settings.

Measures: Outcome measures include treatment propensity, self-reported practice, and actual treatment received by the surgeons' patients.

Results: Propensities were significantly associated with actual treatment, controlling for covariates. Area Medicare fees were the strongest predictor of propensity, followed by region, attitudes, volume, and gender. For instance, after other factors were considered, surgeons practicing in areas with the highest breast-conserving surgery (BCS) fees were 8.61 (95% CI 2.26-32.73) times more likely to have a BCS propensity than surgeons in areas with the lowest fees. Surgeons with the strongest beliefs in patient participation in treatment decisions were nearly 6 times (95% CI 1.67-20.84) more likely to have a BCS propensity than surgeons with the lowest such beliefs, controlling for covariates. Male surgeons were also independently more likely to have a mastectomy propensity than female surgeons.

Conclusions: Surgeons' propensities explain some of the observed variations in breast cancer treatment patterns among older women. Standardized scenarios provide a practical method to measure practice style and could be used to evaluate physician contributions to shared decision making, practice patterns, costs and outcomes, and adherence to guidelines.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Breast Neoplasms / therapy*
  • Cross-Sectional Studies
  • Fee-for-Service Plans / economics
  • Fee-for-Service Plans / statistics & numerical data
  • Female
  • Guideline Adherence / economics
  • Guideline Adherence / statistics & numerical data
  • Health Care Surveys / methods*
  • Health Care Surveys / standards
  • Humans
  • Male
  • Medicare / economics
  • Medicare / statistics & numerical data
  • Middle Aged
  • Outcome Assessment, Health Care
  • Patient Selection*
  • Practice Guidelines as Topic
  • Practice Patterns, Physicians' / economics
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Predictive Value of Tests
  • Surveys and Questionnaires
  • United States