| A Decision-Tree Approach to Cost Comparison of Newborn Screening Strategies for Cystic Fibrosis. | |
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MedLine Citation:
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PMID: 22291119 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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OBJECTIVES:Because cystic fibrosis can be difficult to diagnose and treat early, newborn screening programs have rapidly developed nationwide but methods vary widely. We therefore investigated the costs and consequences or specific outcomes of the 2 most commonly used methods.METHODS:With available data on screening and follow-up, we used a simulation approach with decision trees to compare immunoreactive trypsinogen (IRT) screening followed by a second IRT test against an IRT/DNA analysis. By using a Monte Carlo simulation program, variation in the model parameters for counts at various nodes of the decision trees, as well as for costs, are included and applied to fictional cohorts of 100 000 newborns. The outcome measures included the numbers of newborns given a diagnosis of cystic fibrosis and costs of screening strategy at each branch and cost per newborn.RESULTS:Simulations revealed a substantial number of potential missed diagnoses for the IRT/IRT system versus IRT/DNA. Although the IRT/IRT strategy with commonly used cutoff values offers an average overall cost savings of $2.30 per newborn, a breakdown of costs by societal segments demonstrated higher out-of-pocket costs for families. Two potential system failures causing delayed diagnoses were identified relating to the screening protocols and the follow-up system.CONCLUSIONS:The IRT/IRT screening algorithm reduces the costs to laboratories and insurance companies but has more system failures. IRT/DNA offers other advantages, including fewer delayed diagnoses and lower out-of-pocket costs to families. |
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Authors:
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Janelle Wells; Marjorie Rosenberg; Gary Hoffman; Michael Anstead; Philip M Farrell |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-30 |
Journal Detail:
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Title: Pediatrics Volume: - ISSN: 1098-4275 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-31 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0376422 Medline TA: Pediatrics Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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aDepartments of Population Health Sciences. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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