title: Assessing population health care need using a claims-based ACG morbidity measure: a validation analysis in the Province of Manitoba.
abstract: OBJECTIVE
  To assess the ability of an Adjusted Clinical Group (ACG)-based morbidity measure to assess the overall health service needs of populations. Data Sources/Study Setting. Three population-based secondary data sources: registration and health service utilization data from fiscal year 1995-1996; mortality data from vital statistics reports from 1996-1999; and Canadian census data. The study included all continuously enrolled residents in the universal health care plan in Manitoba.
  
  
  METHODS
  Using 60 small geographic areas as the units of analysis, we compared a population-based "ACG morbidity index," derived from individual ACG assignments in fiscal year 1995-1996, with the standardized mortality ratio (ages < 75 years) for 1996-1999. Key variables included a population-based socioeconomic status measure and age- and sex-standardized physician utilization ratios.
  
  
  METHODS
  The ACGs were assigned based on the complement of diagnoses assigned to persons on physician claims and hospital separation abstracts. The ACG index was created by weighting the ACGs using average health care expenditures.
  
  
  RESULTS
  The ACG morbidity index had a strong positive linear relationship with the subsequent rate of premature death in the small areas of Manitoba. The ACG index was able to explain the majority of the relationships between mortality and both socioeconomic status and physician utilization.
  
  
  CONCLUSIONS
  In Manitoba, ACGs are closely related to premature mortality, commonly accepted as the best single indicator for health service need in populations. Issues in applying ACGs in settings where needs adjustment is a primary objective are discussed.
authors.affiliation: Centre for Health Services and Policy Research, University of British Columbia, Vancouver, Canada.
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Reid
authors.forename: Noralou P
authors.initials: NP
authors.lastname: Roos
authors.forename: Leonard
authors.initials: L
authors.lastname: MacWilliam
authors.forename: Norman
authors.initials: N
authors.lastname: Frohlich
authors.forename: Charlyn
authors.initials: C
authors.lastname: Black
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D019352:Censuses; D002648:Child; D002675:Child, Preschool; D003625:Data Collection; D003953:Diagnosis-Related Groups; D005260:Female; D006296:Health Services / Q000706:statistics & numerical data; D006304:Health Status; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008350:Manitoba / Q000453:epidemiology; D008875:Middle Aged; D009026:Mortality; D020380:Needs Assessment / Q000706:statistics & numerical data*; D011159:Population Surveillance / Q000379:methods*; D040442:Public Health Informatics; D017062:Small-Area Analysis; D019472:Universal Health Insurance