title: Hospital-physician affiliations and patient treatments, expenditures, and outcomes.
abstract: OBJECTIVE
  To determine the relationship between hospital-physician affiliations and the treatments, expenditures, and outcomes of patients.
  
  
  METHODS
  Sources include the Medicare Provider Analysis and Review dataset, the American Hospital Association (AHA) Annual Survey, and the Area Resource File (ARF).
  
  
  METHODS
  A multivariate regression analysis of the relationship between hospital-physician affiliations (such as physician-hospital organizations [PHOs] or salaried employment) and the treatment of Medicare patients with a diagnosis of acute myocardial infarction admitted to general medical-surgical hospitals between 1994 and 1998. Dependent variables include whether the patient received a catheterization or angioplasty or bypass surgery; whether a patient was readmitted, or died within 90 days of initial admission; and expenditures. Independent variables include patient, admission hospital, and market characteristics, as well as hospital and year fixed effects.
  
  
  RESULTS
  The integrated salary model form of hospital-physician affiliation is associated with slightly higher procedure rates, and higher patient expenditures. At the same time, there is little evidence that hospital-physician affiliations in the aggregate have had any measurable impact on patient treatment or outcomes.
  
  
  CONCLUSIONS
  The limited effect of hospital-physician affiliations on patient outcomes is consistent with previous research showing that affiliations have not much changed the nature of health care delivery. However, the finding that the integrated salary model is associated with higher treatment intensity suggests that affiliations may have had some impact on patients, and could have more in the future.
authors.affiliation: University of Pennsylvania Law School, Philadelphia, PA 19104, USA.
authors.forename: Kristin
authors.initials: K
authors.lastname: Madison
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D005102:Health Expenditures; D006302:Health Services Research; D006759:Hospital-Physician Joint Ventures; D006801:Humans; D008297:Male; D006278:Medicare; D009203:Myocardial Infarction / Q000191:economics / Q000628:therapy; D017063:Outcome Assessment, Health Care; D012044:Regression Analysis; D012456:Salaries and Fringe Benefits; D014481:United States