title: Comparing alternative methods for composing community peer groups: a data warehouse application.
abstract: A method for assessing the health status of communities has been under development for a decade at the University of South Florida. Known as CATCH (Comprehensive Assessment for Tracking Community Health), the method utilizes health status indicators from multiple data sources. With federal grant support, a unique data warehouse has been created to automate CATCH assessments and to enhance online analytical processing for efficient data browsing, knowledge discovery, and model testing. A comparison of two peer grouping methods (population size versus predicted age-adjusted mortality) is reviewed to demonstrate the warehouse capabilities.
authors.affiliation: College of Public Health, Department of Health Policy and Management, University of South Florida, Tampa, USA.
authors.forename: J
authors.initials: J
authors.lastname: Studnicki
authors.forename: A R
authors.initials: AR
authors.lastname: Hevner
authors.forename: D J
authors.initials: DJ
authors.lastname: Berndt
authors.forename: S L
authors.initials: SL
authors.lastname: Luther
mesh_terms: D018672:Community Health Planning; D003658:Decision Making, Computer-Assisted; D005431:Florida; D006304:Health Status; D006305:Health Status Indicators; D006801:Humans; D019451:Information Management; D016247:Information Storage and Retrieval; D007256:Information Systems; D008491:Medical Informatics Applications; D010379:Peer Group; D014481:United States