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Decision analysis, economic evaluation, and newborn screening: challenges and opportunities

Lisa A Prosser1, Scott D Grosse, Alex R Kemper

  • 1Child Health Evaluation and Research Unit, Division of General Pediatrics, University of Michigan, Ann Arbor, Michigan, USA.

Genetics in Medicine : Official Journal of the American College of Medical Genetics
|April 7, 2012
PubMed

Insights

Evaluating new newborn screening tests requires better data on costs and outcomes. Decision analyses and economic models can guide policy for expanding newborn screening programs effectively.

Area of Science:

  • Public Health
  • Genetics
  • Health Economics

Background:

  • Newborn screening panels in the US have expanded rapidly.
  • Evaluating rare candidate conditions for screening is challenging due to limited data.

Purpose of the Study:

  • To outline data requirements for decision analysis and cost-effectiveness models in newborn screening.
  • To discuss challenges in applying these methods for policy decisions.

Main Methods:

  • Review of data needs for decision analysis and economic evaluations.
  • Discussion of challenges in applying modeling techniques to newborn screening.

Main Results:

  • Scarcity of data on screening, follow-up, treatment, and disability costs hinders evaluation.
  • Decision analyses and economic evaluations offer systematic approaches to synthesize evidence.

Conclusions:

  • Improved data collection is crucial for evaluating new newborn screening conditions.
  • Modeling approaches can project long-term outcomes and inform policy for screening programs.

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