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

Area of Science:

• Public Health
• Health Informatics
• Community Health Assessment

Background:

• The Comprehensive Assessment for Tracking Community Health (CATCH) methodology has been developed since the early 1990s.
• CATCH analyzes community health status using 226 indicators from multiple data sources.
• It employs a comparative framework and weighted criteria to prioritize health issues.

Purpose of the Study:

• To present the current status of the CATCH/IT project, an automated version of the CATCH methodology.
• To outline key research and development challenges in automating community health assessment.
• To discuss future directions for enhancing community health tracking systems.

Main Methods:

• Developing an automated system (CATCH/IT) utilizing a full-scale data warehouse.
• Implementing user-friendly forms, reports, and advanced data mining capabilities.
• Transitioning from manual CATCH methodology to an IT-driven platform.

Main Results:

• The automated CATCH/IT system is designed to drastically reduce report generation time from months to days.
• Successful application of the manual CATCH methodology in numerous Florida counties has been demonstrated.
• Focusing attention on high-priority health issues and measuring health expenditure impact.

Conclusions:

• Information technology is crucial for automating and enhancing community health assessment processes.
• The CATCH/IT system promises to improve the efficiency and timeliness of community health status reporting.
• Continued research and development are essential for advancing data-driven public health strategies.