title: Surgery wait times and specialty services for insured and uninsured breast cancer patients: does hospital safety net status matter?
abstract: OBJECTIVE
  To determine whether safety net and non-safety net hospitals influence inpatient breast cancer care in insured and uninsured women and in white and African American women.
  
  
  METHODS
  Six years of Virginia Cancer Registry and Virginia Health Information discharge data were linked and supplemented with American Hospital Association data.
  
  
  METHODS
  Hierarchical generalized linear models and linear probability regression models were used to estimate the relationship between hospital safety net status, the explanatory variables, and the days from diagnosis to mastectomy and the likelihood of breast reconstruction.
  
  
  RESULTS
  The time between diagnosis and surgery was longer in safety net hospitals for all patients, regardless of insurance source. Medicaid insured and uninsured women were approximately 20 percent less likely to receive reconstruction than privately insured women. African American women were less likely to receive reconstruction than white women.
  
  
  CONCLUSIONS
  Following the implementation of health reform, disparities may potentially worsen if safety net hospitals' burden of care increases without commensurate increases in reimbursement and staffing levels. This study also suggests that Medicaid expansions may not improve outcomes in inpatient breast cancer care within the safety net system.
authors.affiliation: Department of Healthcare Policy and Research, Massey Cancer Center, Virginia Commonwealth University, PO Box 980430, Richmond, VA 23298-0430, USA. cjbradley@vcu.edu
authors.forename: Cathy J
authors.initials: CJ
authors.lastname: Bradley
authors.forename: Bassam
authors.initials: B
authors.lastname: Dahman
authors.forename: Lisa M
authors.initials: LM
authors.lastname: Shickle
authors.forename: Woolton
authors.initials: W
authors.lastname: Lee
mesh_terms: D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data; D001943:Breast Neoplasms / Q000601:surgery*; D005260:Female; D054625:Healthcare Disparities / Q000706:statistics & numerical data; D006801:Humans; D007348:Insurance, Health / Q000706:statistics & numerical data*; D016014:Linear Models; D008408:Mastectomy / Q000706:statistics & numerical data; D008484:Medicaid / Q000706:statistics & numerical data; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D008875:Middle Aged; D012044:Regression Analysis; D014481:United States; D014768:Virginia; D014850:Waiting Lists; D044465:White People / Q000706:statistics & numerical data; D055815:Young Adult
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