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
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.

Auteurs

Alina Schnake-Mahl (A)

Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA.
Department of Health Management and Policy, Drexel Dornsife School of Public Health, Philadelphia, PA.

Giancarlo Anfuso (G)

Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA.
Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, PA.

Neal D Goldstein (ND)

Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, PA.

Jonathan Purtle (J)

Department of Public Health Policy & Management, New York University School of Global Public Health, New York, NY.

Jan M Eberth (JM)

Department of Health Management and Policy, Drexel Dornsife School of Public Health, Philadelphia, PA.

Ana Ortigoza (A)

Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA.
Department of Social and Environmental Determinants of Health Equity, Pan American Health Organization, Washington, D.C.

Usama Bilal (U)

Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA.
Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, PA.

Classifications MeSH