title: The importance of comorbidities in explaining differences in patient costs.
abstract: OBJECTIVE
  The authors examine to what extent comorbidities contribute to differences in patient hospital costs.
  
  
  METHODS
  The medical record data for this study were collected from 15 metropolitan Boston hospital for 4,439 patients admitted mostly in 1985 for one of eight common conditions. Massachusetts hospital discharge abstract data for 1985 and 1993 also were used. Comorbidities were identified from the medical record for the 15-hospital data set and from discharge abstracts for all cases. Stepwise regression models were used to develop comorbidity scores.
  
  
  RESULTS
  Across all conditions, the medical record-based comorbidity score increased the R2 value from .42 in a model with diagnosis-related groups alone to .50. In condition-specific analyses, including the comorbidity score increased the R2 by more than 50% in six of eight conditions, and was more important than several other dimensions of severity in explaining condition-specific costs. When comorbidities were determined from discharge abstract data rather than medical records, only approximately half as much comorbidity was found. Also, there was much less explanatory power: the all-condition R2 only went from .42 to .44. However, a comorbidity score developed from statewide hospital discharge abstract data was more useful in explaining variations in charges in the eight condition-specific analyses conducted on patients 65 years and older.
  
  
  CONCLUSIONS
  Comorbidities, particularly when determined from the medical record, are important determinants of patient costs.
authors.affiliation: Health Care Management Program, School of Management, Boston University, MA 02215, USA.
authors.forename: M
authors.initials: M
authors.lastname: Shwartz
authors.forename: L I
authors.initials: LI
authors.lastname: Iezzoni
authors.forename: M A
authors.initials: MA
authors.lastname: Moskowitz
authors.forename: A S
authors.initials: AS
authors.lastname: Ash
authors.forename: E
authors.initials: E
authors.lastname: Sawitz
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015982:Bias; D001900:Boston; D015897:Comorbidity; D006302:Health Services Research / Q000379:methods*; D017721:Hospital Costs; D006786:Hospitals, Urban / Q000191:economics*; D006801:Humans; D008499:Medical Records; D008875:Middle Aged; D010351:Patient Discharge; D011237:Predictive Value of Tests; D012044:Regression Analysis; D015203:Reproducibility of Results; D012720:Severity of Illness Index