Comparing alternative methods for composing community peer groups: a data warehouse application.
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.
Studnicki
J
J
College of Public Health, Department of Health Policy and Management, University of South Florida, Tampa, USA.
Hevner
A R
AR
Berndt
D J
DJ
Luther
S L
SL
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