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Developing a database management system to support birth defects surveillance in Florida.

Jason L Salemi¹, Kimberlea W Hauser, Jean Paul Tanner

¹Birth Defects Surveillance Program, University of South Florida, 13201 Bruce B. Downs Blvd., MDC56, Tampa, FL 33612-3805, USA. jsalemi@health.usf.edu

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|August 28, 2010

Summary

A new database management system (DBMS) enhances birth defect surveillance by improving data accuracy and efficiency. This system streamlines case identification and data management, benefiting public health initiatives.

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Area of Science:

Public Health
Biostatistics
Health Informatics

Background:

Public health surveillance programs rely on effective data management for improved health outcomes.
Birth defects surveillance programs require efficient resource utilization for sustainability.
Existing Florida Birth Defects Registry used administrative data and unconfirmed codes.

Purpose of the Study:

To develop and pilot an enhanced surveillance system for birth defects in Florida.
To create a fully-integrated relational database management system (DBMS) to enrich data and improve efficiency.
To implement a more comprehensive approach to case identification and diagnosis confirmation.

Main Methods:

Developed a DBMS to manage data transmission from multiple sources.
Incorporated tools for tracking abstractor time, defect coding, and case classification.
Piloted the system in targeted areas, reviewing over 12,924 records from 90+ facilities.

Main Results:

Automated management of incoming case lists reduced clerical workload and improved accuracy.
Enhanced data quality through internal edits and comparisons.
Increased abstractor efficiency in completing case abstraction.

Conclusions:

The developed DBMS significantly improved efficiency and data quality in birth defect surveillance.
The system's tools and approaches are transferable to other public health and clinical registries.
Continued enhancement of the DBMS is anticipated for future surveillance projects.