Measuring Variation in Infant Mortality and Deaths of Despair by U.S. Congressional Districts in Pennsylvania: A Methodological Case Study.
areal units
congressional districts
health disparities
mortality
political epidemiology
Journal
American journal of epidemiology
ISSN: 1476-6256
Titre abrégé: Am J Epidemiol
Pays: United States
ID NLM: 7910653
Informations de publication
Date de publication:
26 Feb 2024
26 Feb 2024
Historique:
received:
16
11
2022
revised:
26
01
2024
medline:
27
2
2024
pubmed:
27
2
2024
entrez:
27
2
2024
Statut:
aheadofprint
Résumé
Many ecological studies examine health outcomes and disparities using administrative boundaries such as census tracts, counties, or states. These boundaries help us to understand the patterning of health by place along with impacts of policies implemented at these levels. However, additional geo-political units, or units with both geographic and political meaning, such as congressional districts, present further opportunities to connect research with public policy. We provide a step-by-step guide in how to conduct disparities-focused analysis at the congressional district level, and as an applied case study we use geocoded vital statistics data from 2010-2015 to examine levels and disparities of infant mortality (IM) and deaths of despair (DoD) in the 19 U.S. congressional districts of Pennsylvania for the 111th-112th (2009-2012) Congresses, and 18 districts for the 113th-114th (2013-2016) Congresses. We also provide recommendations for extending congressional district level analysis to other outcomes, states, and geopolitical boundaries such as state legislative districts. Increased surveillance of health outcomes at the congressional district level can help prompt policy action, advocacy, and hopefully, reduce rates and disparities in health.
Identifiants
pubmed: 38412272
pii: 7614342
doi: 10.1093/aje/kwae016
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.