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Long-term follow-up data collection and use in state newborn screening programs
Timothy Hoff1, Maria Ayoob, Bradford L Therrell
1Department of Health Policy, Management, and Behavior, School of Public Health, State University of New York at Albany, 1 University Pl, Rensselaer, NY 12144, USA. thoff@albany.edu
Archives of Pediatrics & Adolescent Medicine
|October 3, 2007
Summary
State newborn screening programs face data challenges for long-term follow-up (LTFU) of infants with disorders. Most programs collect little to no LTFU data, hindering essential public health functions.
Area of Science:
- Public Health
- Genetics
- Data Management
Background:
- Newborn screening (NBS) programs are crucial for early detection of genetic disorders.
- Long-term follow-up (LTFU) is essential for monitoring patient outcomes and program effectiveness.
- Current data practices in NBS programs may not adequately support LTFU and oversight.
Purpose of the Study:
- To analyze data-related policies and practices in state NBS programs concerning LTFU.
- To identify existing data collection, use, and oversight mechanisms for newborns with confirmed disorders.
Main Methods:
- An online survey with 19 questions was administered.
- Thirty-five state NBS programs participated in the survey.
- Key metrics included LTFU performance, data collection/use, and data variety.
Main Results:
- 56% of NBS programs collect no LTFU data; over two-thirds use it minimally.
- LTFU data collection is often manual (verbal/paper) and infrequent (annual).
- Collected data is used for outcome tracking, needs assessment, and identifying lost individuals.
Conclusions:
- Significant data gaps exist, impeding quality assurance and program evaluation.
- State NBS programs require better alignment of data practices with public health needs.
- Improved data infrastructure is necessary for effective NBS program oversight.
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