title: Patient characteristics associated with hospitalizations for ambulatory care sensitive conditions in South Carolina.
abstract: BACKGROUND
  Data for this study came from South Carolina 1995 Hospital Inpatient Encounter Data Base. The population figures were 1995 South Carolina population estimates.
  
  
  METHODS
  We examined patient sociodemographic characteristics and costs associated with adult and pediatric ambulatory care sensitive condition (ACSC) hospitalization in South Carolina. Bivariate statistical comparisons were done to test the differences between ACSC and non-ACSC groups in specific sociodemographic characteristics. Logistic regression determined the relative significance of individual characteristics to hospitalizations for ACSC. Cost/charge ratios were used to estimate costs associated with ACSC hospitalizations.
  
  
  RESULTS
  Nonwhites, low-income individuals, and those residing in more rural areas had significantly more ACSC hospitalizations than their respective counterparts (i.e., whites, high-income individuals, and those residing in metropolitan statistical areas). Individuals without a primary care physician were more likely to be hospitalized with ACSC. Ambulatory care sensitive condition hospitalization charges were 12% of total hospital charges for adults and 20% for children. The average cost per ACSC hospitalization was $3,929 for adults and $1,818 for children.
  
  
  CONCLUSIONS
  Providers can rapidly assess needs and barriers faced by vulnerable population groups by using regularly collected hospital discharge data at the national, state, and community level.
authors.affiliation: University of South Carolina, Columbia, USA.
authors.forename: L
authors.initials: L
authors.lastname: Shi
authors.forename: M E
authors.initials: ME
authors.lastname: Samuels
authors.forename: M
authors.initials: M
authors.lastname: Pease
authors.forename: W P
authors.initials: WP
authors.lastname: Bailey
authors.forename: E H
authors.initials: EH
authors.lastname: Corley
mesh_terms: D000293:Adolescent; D000328:Adult; D000553:Ambulatory Care / Q000191:economics / Q000706:statistics & numerical data*; D002648:Child; D002675:Child, Preschool; D019992:Databases as Topic; D003710:Demography; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D006297:Health Services Accessibility / Q000706:statistics & numerical data; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data; D017722:Hospital Charges / Q000706:statistics & numerical data; D017721:Hospital Costs / Q000706:statistics & numerical data; D006760:Hospitalization / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010351:Patient Discharge / Q000706:statistics & numerical data; D011203:Poverty / Q000706:statistics & numerical data; D011320:Primary Health Care / Q000706:statistics & numerical data; D012423:Rural Health / Q000706:statistics & numerical data; D013022:South Carolina / Q000453:epidemiology; D014504:Urban Health / Q000706:statistics & numerical data; D044465:White People / Q000706:statistics & numerical data