Considering multiple governance levels in epidemiologic analysis of public policies.
Causal inference
Governance
Health disparities
Health equity
Policy evaluation
Journal
Social science & medicine (1982)
ISSN: 1873-5347
Titre abrégé: Soc Sci Med
Pays: England
ID NLM: 8303205
Informations de publication
Date de publication:
12 2022
12 2022
Historique:
received:
08
08
2022
revised:
04
10
2022
accepted:
08
10
2022
pubmed:
25
10
2022
medline:
23
11
2022
entrez:
24
10
2022
Statut:
ppublish
Résumé
Epidemiology is increasingly asking questions about the use of policies to address structural inequities and intervene on health disparities and public health challenges. However, there has been limited explicit consideration of governance structures in the design of epidemiologic policy analysis. To advance empirical and theoretical inquiry in this space, we propose a model of governance analysis in which public health researchers consider at what level 1) decision-making authority for policy sits, 2) policy is implemented, 3) and accountability for policy effects appear. We follow with examples of how these considerations might improve the evaluation of the policy drivers of population health. Consideration and integration of multiple levels of governance, as well as interactions between levels, can help epidemiologists design studies including new opportunities for quasi-experimental designs and stronger counterfactuals, better quantify the policy drivers of inequities, and aid research evidence and policy development work in targeting multiple levels of governance, ultimately supporting evidence-based policy making.
Identifiants
pubmed: 36274459
pii: S0277-9536(22)00750-X
doi: 10.1016/j.socscimed.2022.115444
pmc: PMC9896379
mid: NIHMS1866153
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
115444Subventions
Organisme : NIH HHS
ID : DP5 OD026429
Pays : United States
Organisme : NIAID NIH HHS
ID : K01 AI168579
Pays : United States
Organisme : NIMH NIH HHS
ID : R21 MH125261
Pays : United States
Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.
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