Using Decision Analysis to Support Newborn Screening Policy Decisions: A Case Study for Pompe Disease

Background: Newborn screening is a public health program to identify conditions associated with significant morbidity or mortality that benefit from early intervention. Policy decisions about which conditions to include in newborn screening are complex because data regarding epidemiology and outcome...

Full description

Bibliographic Details
Main Authors: Lisa A. Prosser, K. K. Lam, Scott D. Grosse, Mia Casale, Alex R. Kemper
Format: Article
Language:English
Published: SAGE Publishing 2018-04-01
Series:MDM Policy & Practice
Online Access:https://doi.org/10.1177/2381468318763814
id doaj-a5212c052e7e46f59559a5fa3fd56fc5
record_format Article
spelling doaj-a5212c052e7e46f59559a5fa3fd56fc52020-11-25T03:04:13ZengSAGE PublishingMDM Policy & Practice2381-46832018-04-01310.1177/2381468318763814Using Decision Analysis to Support Newborn Screening Policy Decisions: A Case Study for Pompe DiseaseLisa A. ProsserK. K. LamScott D. GrosseMia CasaleAlex R. Kemper Background: Newborn screening is a public health program to identify conditions associated with significant morbidity or mortality that benefit from early intervention. Policy decisions about which conditions to include in newborn screening are complex because data regarding epidemiology and outcomes of early identification are often incomplete. Objectives: To describe expected outcomes of Pompe disease newborn screening and how a decision analysis informed recommendations by a federal advisory committee. Methods: We developed a decision tree to compare Pompe disease newborn screening with clinical identification of Pompe disease in the absence of screening. Cases of Pompe disease were classified into three types: classic infantile-onset disease with cardiomyopathy, nonclassic infantile-onset disease, and late-onset disease. Screening results and 36-month health outcomes were projected for classic and nonclassic infantile-onset cases. Input parameters were based on published and unpublished data supplemented by expert opinion. Results: We estimated that screening 4 million babies born each year in the United States would detect 40 cases (range: 13–56) of infantile-onset Pompe disease compared with 36 cases (range: 13–56) detected clinically without screening. Newborn screening would also identify 94 cases of late-onset Pompe disease that might not become symptomatic for decades. By 36 months, newborn screening would avert 13 deaths (range: 8–19) and decrease the number of individuals requiring mechanical ventilation by 26 (range: 20–28). Conclusions: Pompe disease is a rare condition, but early identification can improve health outcomes. Decision analytic modeling provided a quantitative data synthesis that informed the recommendation of Pompe disease newborn screening.https://doi.org/10.1177/2381468318763814
collection DOAJ
language English
format Article
sources DOAJ
author Lisa A. Prosser
K. K. Lam
Scott D. Grosse
Mia Casale
Alex R. Kemper
spellingShingle Lisa A. Prosser
K. K. Lam
Scott D. Grosse
Mia Casale
Alex R. Kemper
Using Decision Analysis to Support Newborn Screening Policy Decisions: A Case Study for Pompe Disease
MDM Policy & Practice
author_facet Lisa A. Prosser
K. K. Lam
Scott D. Grosse
Mia Casale
Alex R. Kemper
author_sort Lisa A. Prosser
title Using Decision Analysis to Support Newborn Screening Policy Decisions: A Case Study for Pompe Disease
title_short Using Decision Analysis to Support Newborn Screening Policy Decisions: A Case Study for Pompe Disease
title_full Using Decision Analysis to Support Newborn Screening Policy Decisions: A Case Study for Pompe Disease
title_fullStr Using Decision Analysis to Support Newborn Screening Policy Decisions: A Case Study for Pompe Disease
title_full_unstemmed Using Decision Analysis to Support Newborn Screening Policy Decisions: A Case Study for Pompe Disease
title_sort using decision analysis to support newborn screening policy decisions: a case study for pompe disease
publisher SAGE Publishing
series MDM Policy & Practice
issn 2381-4683
publishDate 2018-04-01
description Background: Newborn screening is a public health program to identify conditions associated with significant morbidity or mortality that benefit from early intervention. Policy decisions about which conditions to include in newborn screening are complex because data regarding epidemiology and outcomes of early identification are often incomplete. Objectives: To describe expected outcomes of Pompe disease newborn screening and how a decision analysis informed recommendations by a federal advisory committee. Methods: We developed a decision tree to compare Pompe disease newborn screening with clinical identification of Pompe disease in the absence of screening. Cases of Pompe disease were classified into three types: classic infantile-onset disease with cardiomyopathy, nonclassic infantile-onset disease, and late-onset disease. Screening results and 36-month health outcomes were projected for classic and nonclassic infantile-onset cases. Input parameters were based on published and unpublished data supplemented by expert opinion. Results: We estimated that screening 4 million babies born each year in the United States would detect 40 cases (range: 13–56) of infantile-onset Pompe disease compared with 36 cases (range: 13–56) detected clinically without screening. Newborn screening would also identify 94 cases of late-onset Pompe disease that might not become symptomatic for decades. By 36 months, newborn screening would avert 13 deaths (range: 8–19) and decrease the number of individuals requiring mechanical ventilation by 26 (range: 20–28). Conclusions: Pompe disease is a rare condition, but early identification can improve health outcomes. Decision analytic modeling provided a quantitative data synthesis that informed the recommendation of Pompe disease newborn screening.
url https://doi.org/10.1177/2381468318763814
work_keys_str_mv AT lisaaprosser usingdecisionanalysistosupportnewbornscreeningpolicydecisionsacasestudyforpompedisease
AT kklam usingdecisionanalysistosupportnewbornscreeningpolicydecisionsacasestudyforpompedisease
AT scottdgrosse usingdecisionanalysistosupportnewbornscreeningpolicydecisionsacasestudyforpompedisease
AT miacasale usingdecisionanalysistosupportnewbornscreeningpolicydecisionsacasestudyforpompedisease
AT alexrkemper usingdecisionanalysistosupportnewbornscreeningpolicydecisionsacasestudyforpompedisease
AT usingdecisionanalysistosupportnewbornscreeningpolicydecisionsacasestudyforpompedisease
_version_ 1724682269198647296