The cost-effectiveness of limiting federal housing vouchers to use in low-poverty neighborhoods in the United States.


Journal

Public health
ISSN: 1476-5616
Titre abrégé: Public Health
Pays: Netherlands
ID NLM: 0376507

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 22 03 2019
revised: 07 08 2019
accepted: 23 08 2019
pubmed: 8 11 2019
medline: 22 4 2020
entrez: 8 11 2019
Statut: ppublish

Résumé

Residents of low-income neighborhoods are exposed to relatively higher rates of crime, fewer opportunities to exercise, poorer schools, and few opportunities to eat healthy foods than residents of middle-class neighborhoods. Policies that influence neighborhood context could therefore serve as health interventions. We seek to inform the policy debate over the wisdom of spending health dollars on non-health sectors of the economy by defining the opportunity cost of doing so. Cost-effectiveness analysis with Markov model and Monte Carlo simulation. We assess the long-term health and economic benefits of Moving to Opportunity-type housing vouchers vs traditional public housing. Our Markov model draws heavily from decades of follow-up data from a large randomized-controlled trial, from which we make projections about health outcomes and costs. Restricted housing vouchers cost less over the lifetime of recipients than traditional vouchers ($186,629 [95% credible interval: $148,856-$229,235] vs $194,077 [$153,831-$240,904]), while improving health and longevity (19.39 quality-adjusted life years [15.83-21.35] vs 19.16 [15.65-21.03]). Over 99% of the model simulations favored restricted housing vouchers over traditional public housing or non-restrictive vouchers. Restrictive vouchers appear to improve population health, save money, and save lives.

Identifiants

pubmed: 31698138
pii: S0033-3506(19)30276-8
doi: 10.1016/j.puhe.2019.08.016
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

159-166

Informations de copyright

Copyright © 2019 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Auteurs

Z Zafari (Z)

University of Maryland, USA.

P Muennig (P)

Mailman School of Public Health, Columbia University, 722 West 168th Street, ARB 4th Floor, New York, NY 10032, USA. Electronic address: pm124@columbia.edu.

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Classifications MeSH