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PubMed · 11710171

Comparing alternative methods for composing community peer groups: a data warehouse application.

J Studnicki·A R Hevner·D J Berndt·S L Luther
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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.

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Community Health PlanningDecision Making, Computer-AssistedFloridaHealth StatusHealth Status IndicatorsHumansInformation ManagementInformation Storage and RetrievalInformation SystemsMedical Informatics ApplicationsPeer GroupUnited StatesComparative StudyJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.

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J Studnicki, A R Hevner, D J Berndt, S L Luther. 2001. Comparing alternative methods for composing community peer groups: a data warehouse application.. https://doi.org/10.1097/00124784-200107060-00010

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