The context and approach for the California newborn screening short- and long-term follow-up data system: preliminary findings

Genet Med. 2010 Dec;12(12 Suppl):S242-50. doi: 10.1097/GIM.0b013e3181fe5d66.

Abstract

Purpose: State newborn screening programs are designed to prevent morbidity and mortality from hereditary disorders through early detection and ongoing disease management. These programs have traditionally focused on short-term follow-up. However, capturing data on the long-term follow-up process is emerging as a new priority. Long-term follow-up data can be used to assess the accessibility, continuity, and quality of care provided to these children. The California Newborn Screening Program uses a Web-based data collection system for short- and long-term follow-up. This article provides a description of the follow-up data collection system in addition to preliminary findings to demonstrate the efficacy of the California data collection approach.

Methods: A preliminary analysis of short-term follow-up data collected from July 7, 2005, through April 30, 2009, and a preliminary analysis of long-term follow-up data collected from July 1, 2007, through April 30, 2009.

Results: A majority of children are able to access ongoing care through age 5 years. The majority also have positive health outcomes at each year of follow-up.

Conclusion: California's short- and long-term data collection system can serve as a model for other states interested in implementing a comprehensive Newborn Screening Program follow-up data system.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • California
  • Child
  • Continuity of Patient Care
  • Delivery of Health Care
  • Early Diagnosis
  • Follow-Up Studies
  • Genetic Diseases, Inborn / diagnosis*
  • Genetic Diseases, Inborn / therapy*
  • Health Plan Implementation
  • Humans
  • Infant, Newborn
  • Internet
  • Mortality
  • Neonatal Screening*
  • Outcome Assessment, Health Care
  • Population Surveillance
  • Program Development
  • Program Evaluation
  • Public Health Administration
  • Public Health Informatics / organization & administration*
  • Registries
  • State Health Plans / organization & administration*
  • Time Factors