Biomedical subjects

A R Hevner

Publications and source records attributed to A R Hevner.

4 recordsLinked to original sources

PubMed2001

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.

Community Health Planning↗

PubMed2001

Rating the health status of U.S. communities.

Although the existence of small-area variation in health care utilization and quality had been acknowledged decades ago, and the public release of data about the performance of hospitals and physicians is no longer controversial, the wide range of variability in the health status of U.S. communities has received relatively little attention. The authors demonstrate (using Florida data) an empirically derived national system for rating the health status of communities, presented in a simplified consumer-type format, using a symbol-graded report card. This system is intended to keep the symbols of poor health status prominently in the minds and on the political agendas of community leaders.

Benchmarking↗

PubMed1998

CATCH/IT: a data warehouse to support comprehensive assessment for tracking community health.

A systematic methodology, Comprehensive Assessment for Tracking Community Health (CATCH), for analyzing the health status of communities has been under development at the University of South Florida since the early 1990s. CATCH draws 226 health status indicators from multiple data sources and uses an innovative comparative framework and weighted evaluation criteria to produce a rank-ordered list of community health problems. CATCH has been applied successfully in many Florida counties; focusing attention on high priority health issues and measuring the impact of health expenditures on community health status outcomes. Previously performed manually, we are using information technology (IT) to automate the CATCH methodology with a full-scale data warehouse, user-friendly forms and reports, and extended analysis and data mining capabilities. The automated system, CATCH/IT, will reduce the time to prepare community health status reports from months to days. In this paper, we present the current status of the project, along with the principal research and development issues and future directions of the project.

Community Health Planning↗

PubMedDate not supplied

A community health report card: comprehensive assessment for tracking community health (CATCH).

A systematic method for assessing the health status of communities has been under development at the University of South Florida since 1991. The system, known as CATCH, draws 226 indicators from multiple sources and uses an innovative comparative framework and weighted evaluation criteria to produce a rank-ordered community problem list. The CATCH results from II Floridian counties have focused attention on high priority health problems and provided a framework for measuring the impact of health expenditures on community health status outcomes. The method and plans to create an automated data warehouse to support its expansion and enrichment are described.

Community Health Planning↗