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Long-term follow-up of children with confirmed newborn screening disorders using record linkage

Ying Wang1, Michele Caggana, Marilyn Sango-Jordan

  • 1Congenital Malformations Registry, Bureau of Environmental and Occupational Epidemiology, Center for Environmental Health, New York State Department of Health, Flanigan Square, 547 River Street, Troy, NY 12180-2216, USA. wxy01@health.state.ny.us

Insights

Long-term follow-up of children identified through newborn screening is crucial for understanding health outcomes. Linking administrative data provides an efficient method for monitoring these children and their service utilization.

Area of Science:

  • Public Health
  • Pediatrics
  • Health Informatics

Background:

  • Long-term follow-up of children identified via newborn screening is essential for public health research.
  • This study explores using administrative data linkage for tracking health outcomes and service uptake in these children.

Purpose of the Study:

  • To describe the initial steps of establishing a long-term follow-up system for children with confirmed newborn screening disorders.
  • To utilize population-based administrative data for records linkage and analysis.

Main Methods:

  • The study cohort included children born in 2006-2007 with confirmed newborn screening disorders.
  • Deterministic data linkage was employed to match records across various administrative data sources.

Main Results:

  • The cohort was followed for 2 years post-birth, with data linked to vital records, hospitalizations, a congenital malformations registry, and early intervention services.
  • Key findings include a 2.1% mortality rate, 86.1% hospital service utilization, 36.1% enrollment in the Congenital Malformations Registry, and 19.9% use of Early Intervention services.

Conclusions:

  • Long-term follow-up of children with screened disorders can be effectively initiated using existing administrative data.
  • This approach is cost-effective and efficient for assessing service utilization, delivery, and health outcomes.
Abstract