title: Managing health services: how administrative data and population-based analyses can focus the agenda.
abstract: University-based researchers in Manitoba, Canada, have used administrative data routinely collected as part of the national health insurance plan to design an integrated database and population-based health information system. This information system is proving useful to policymakers for providing answers to such questions as: which populations need more physician services? Which need fewer? Are high-risk populations poorly served or do they have poor health outcomes despite being well served? Does high utilization represent overuse or utilization related to high need? More specifically, this system provides decision-makers with the capability to make critical comparisons across regions and subregions of residents' health status, socioeconomic risk characteristics, and use of hospitals, nursing homes, and physicians. The system permits analyses of demographic changes, expenditure patterns, and hospital performance in relation to the population served. The integrated database has also facilitated outcomes research across hospitals and counties, utilization review within a single hospital, and longitudinal research on health reform. A particularly interesting application to planning physician supply and distribution is discussed. The discussion highlights the strengths of integrated population-based information in analyzing the health care system and raising important questions about the relationship between health care and health.
authors.affiliation: Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
authors.forename: N P
authors.initials: NP
authors.lastname: Roos
authors.forename: C
authors.initials: C
authors.lastname: Black
authors.forename: L L
authors.initials: LL
authors.lastname: Roos
authors.forename: N
authors.initials: N
authors.lastname: Frohlich
authors.forename: C
authors.initials: C
authors.lastname: DeCoster
authors.forename: C
authors.initials: C
authors.lastname: Mustard
authors.forename: M
authors.initials: M
authors.lastname: Brownell
authors.forename: M
authors.initials: M
authors.lastname: Shanahan
authors.forename: P
authors.initials: P
authors.lastname: Fergusson
authors.forename: F
authors.initials: F
authors.lastname: Toll
authors.forename: K C
authors.initials: KC
authors.lastname: Carriere
authors.forename: C
authors.initials: C
authors.lastname: Burchill
authors.forename: R
authors.initials: R
authors.lastname: Fransoo
authors.forename: L
authors.initials: L
authors.lastname: MacWilliam
authors.forename: B
authors.initials: B
authors.lastname: Bogdanovic
authors.forename: D
authors.initials: D
authors.lastname: Friesen
mesh_terms: D002170:Canada / Q000453:epidemiology; D003625:Data Collection; D003660:Decision Support Systems, Management; D003710:Demography; D006285:Health Planning / Q000379:methods*; D006305:Health Status Indicators; D006761:Hospitals / Q000706:statistics & numerical data; D008137:Longitudinal Studies; D017146:Models, Organizational; D009313:National Health Programs / Q000458:organization & administration* / Q000592:standards; D009735:Nursing Homes / Q000706:statistics & numerical data; D009819:Office Visits / Q000706:statistics & numerical data; D017063:Outcome Assessment, Health Care; D011050:Policy Making; D012307:Risk Factors; D018855:Single-Payer System; D012923:Social Class; D014600:Utilization Review