title: Factors that determine satisfaction with surgical treatment of low-income women with breast cancer.
abstract: OBJECTIVE
  To analyze the relationship between patient satisfaction with surgical treatment and 4 consultation skills and processes of the surgeons (time spent, listens carefully, explains concepts in a way the patient can understand, and shows respect for what the patient has to say), controlling for a range of patient, surgeon, and treatment characteristics.
  
  
  METHODS
  Cross-sectional survey.
  
  
  METHODS
  The Breast and Cervical Cancer Treatment Program for the state of California.
  
  
  METHODS
  A statewide sample of 789 low-income women who received treatment for breast cancer from February 1, 2003, through September 31, 2005.
  
  
  METHODS
  Satisfaction with surgical treatment.
  
  
  RESULTS
  Three of every 4 women reported being extremely satisfied with the treatment they received from their surgeon. African American women and those with arm swelling were less likely to be satisfied, whereas those reporting that the surgeon always spent enough time and explained concepts in a way they could understand were more likely to report greater satisfaction.
  
  
  CONCLUSIONS
  Our findings highlight the importance of 2 relatively simple behaviors that surgeons can easily implement to increase patient satisfaction, which can be of potential benefit in the litigious world of today.
authors.affiliation: Department of Epidemiology and Biostatistics, Center for Studies in Family Medicine, Schulich School of Medicine, The University of Western Ontario, Ontario, Canada. athind2@uwo.ca
authors.forename: Amardeep
authors.initials: A
authors.lastname: Thind
authors.forename: Allison
authors.initials: A
authors.lastname: Diamant
authors.forename: Yihang
authors.initials: Y
authors.lastname: Liu
authors.forename: Rose
authors.initials: R
authors.lastname: Maly
mesh_terms: D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D001943:Breast Neoplasms / Q000175:diagnosis / Q000601:surgery*; D003430:Cross-Sectional Studies; D005260:Female; D005500:Follow-Up Studies; D017048:Health Care Costs; D006801:Humans; D019458:Insurance Coverage / Q000706:statistics & numerical data; D016015:Logistic Models; D008408:Mastectomy / Q000009:adverse effects / Q000191:economics / Q000379:methods*; D015412:Mastectomy, Segmental / Q000009:adverse effects / Q000191:economics / Q000379:methods; D008875:Middle Aged; D009864:Ontario; D017060:Patient Satisfaction / Q000706:statistics & numerical data*; D010817:Physician-Patient Relations; D011203:Poverty / Q000706:statistics & numerical data*; D010818:Practice Patterns, Physicians'; D011336:Probability; D011787:Quality of Health Care; D018570:Risk Assessment; D012959:Socioeconomic Factors; D016896:Treatment Outcome