title: Inpatient childhood asthma treatment: relationship of hospital characteristics to length of stay and cost: analyses of New York State discharge data, 1995.
abstract: BACKGROUND
  There is increasing pressure to optimize asthma treatment efficiency. It is possible that hospital characteristics influence such efficiency.
  
  
  OBJECTIVE
  To examine the association of selected hospital characteristics with cost and length of stay (LOS) among pediatric patients with asthma after adjusting for patient characteristics.
  
  
  METHODS
  Secondary analysis of 1995 hospital discharge data in the state of New York.
  
  
  METHODS
  Nineteen thousand six hundred eighty-eight patients aged 1 to 17 years with asthma discharged from 206 acute care hospitals in New York in 1995.
  
  
  METHODS
  Length of stay and hospital cost.
  
  
  METHODS
  Hospitals were described with respect to teaching status and ownership. The differences in the distribution of children within each hospital type were assessed by chi(2) tests. In multivariate analyses, hierarchical models were constructed to analyze cost and LOS, adjusting for both hospital- and patient-level covariance.
  
  
  RESULTS
  Asthma severity did not meaningfully differ by hospital ownership and teaching status. Public and teaching hospitals had more minority and Medicaid patients. After adjusting for patient- and hospital-level covariates and for the hierarchical nature of the data, there were no statistically significant differences between public and private hospitals in mean cost or LOS. Adjusted mean LOS in teaching hospitals was not significantly shorter, while costs were significantly but not meaningfully greater ($2459 vs $2271; P<.001).
  
  
  CONCLUSIONS
  Hospitals providing medical education to pediatricians and safety net care do so without increasing LOS or cost of care for pediatric asthma.
authors.affiliation: Center for Health Services and Clinical Research, Children's National Medical Center, 111 Michigan Ave NW, Washington, DC 20010, USA.
authors.forename: Zhihuan J
authors.initials: ZJ
authors.lastname: Huang
authors.forename: Bonnie J
authors.initials: BJ
authors.lastname: LaFleur
authors.forename: James M
authors.initials: JM
authors.lastname: Chamberlain
authors.forename: Mark F
authors.initials: MF
authors.lastname: Guagliardo
authors.forename: Jill G
authors.initials: JG
authors.lastname: Joseph
mesh_terms: D000293:Adolescent; D001249:Asthma / Q000145:classification / Q000628:therapy*; D002648:Child; D002675:Child, Preschool; D018672:Community Health Planning; D017598:Efficiency, Organizational / Q000706:statistics & numerical data*; D005260:Female; D019538:Health Care Surveys; D017721:Hospital Costs / Q000706:statistics & numerical data*; D016304:Hospitals, Private / Q000191:economics / Q000458:organization & administration*; D006779:Hospitals, Public / Q000191:economics / Q000458:organization & administration*; D006784:Hospitals, Teaching / Q000191:economics / Q000458:organization & administration*; D006801:Humans; D007223:Infant; D007902:Length of Stay / Q000191:economics / Q000706:statistics & numerical data*; D008297:Male; D008484:Medicaid / Q000191:economics / Q000706:statistics & numerical data; D017059:Models, Econometric; D015999:Multivariate Analysis; D009518:New York; D017063:Outcome Assessment, Health Care; D010067:Ownership / Q000191:economics / Q000706:statistics & numerical data; D010351:Patient Discharge / Q000191:economics / Q000706:statistics & numerical data*; D012720:Severity of Illness Index; D012959:Socioeconomic Factors