title: Medical Home Features of VHA Primary Care Clinics and Avoidable Hospitalizations.
abstract: BACKGROUND
  As the Veterans Health Administration (VHA) reorganizes providers into the patient-centered medical home, questions remain whether this model of care can demonstrate improved patient outcomes and cost savings.
  
  
  OBJECTIVE
  We measured adoption of medical home features by VHA primary care clinics prior to widespread implementation of the patient-centered medical home and examined if they were associated with lower risk and costs of potentially avoidable hospitalizations.
  
  
  METHODS
  Secondary patient data was linked to clinic administrative and survey data. Patient and clinic factors in the baseline year (FY2009) were used to predict patient outcomes in the follow-up year.
  
  
  METHODS
  2,853,030 patients from 814 VHA primary care clinics
  
  
  METHODS
  Patient outcomes were measured by hospitalizations for an ambulatory care sensitive condition (ACSC) and their costs and identified through diagnosis and procedure codes from inpatient records. Clinic adoption of medical home features was obtained from the American College of Physicians Medical Home Builder®.
  
  
  RESULTS
  The overall mean home builder score in the study clinics was 88 (SD = 13) or 69%. In adjusted analyses an increase of 10 points in the medical home adoption score in a clinic decreased the odds of an ACSC hospitalization for patients by 3% (P = 0.032). By component, higher access and scheduling (P = 0.004) and care coordination and transitions (P = 0.020) component scores were related to lower risk of an ACSC hospitalization, and higher population management was related to higher risk (P = 0.023). Total medical home features was not related to ACSC hospitalization costs among patients with at least one (P = 0.074).
  
  
  CONCLUSIONS
  Greater adoption of medical home features by VHA primary care clinics was found to be significantly associated with lower risk of avoidable hospitalizations with access and scheduling and care coordination/transitions in care as key factors.
authors.affiliation: Health Economics Resource Center, VA Palo Alto Health Care System, Menlo Park, CA 94025, USA. jean.yoon@va.gov
authors.forename: Jean
authors.initials: J
authors.lastname: Yoon
authors.forename: Danielle E
authors.initials: DE
authors.lastname: Rose
authors.forename: Ismelda
authors.initials: I
authors.lastname: Canelo
authors.forename: Anjali S
authors.initials: AS
authors.lastname: Upadhyay
authors.forename: Gordon
authors.initials: G
authors.lastname: Schectman
authors.forename: Richard
authors.initials: R
authors.lastname: Stark
authors.forename: Lisa V
authors.initials: LV
authors.lastname: Rubenstein
authors.forename: Elizabeth M
authors.initials: EM
authors.lastname: Yano
mesh_terms: D000328:Adult; D000368:Aged; D017046:Cost Savings / Q000706:statistics & numerical data; D003430:Cross-Sectional Studies; D005260:Female; D017048:Health Care Costs / Q000706:statistics & numerical data; D018166:Health Care Reform; D006297:Health Services Accessibility / Q000706:statistics & numerical data; D006302:Health Services Research / Q000379:methods; D006760:Hospitalization / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D008875:Middle Aged; D018802:Patient-Centered Care / Q000191:economics / Q000458:organization & administration*; D011320:Primary Health Care / Q000191:economics / Q000458:organization & administration*; D014481:United States; D058014:Veterans Health