How do we assess a racial disparity in health? Distribution, interaction, and interpretation in epidemiological studies.
Disease Susceptibility
/ epidemiology
Environmental Exposure
/ statistics & numerical data
Epidemiologic Studies
Health Services Accessibility
/ statistics & numerical data
Health Status Disparities
Healthcare Disparities
Humans
Population Health
Prevalence
Race Factors
Socioeconomic Factors
United States
Health disparities
Interaction
Interpretation
Modification
Race
Regression
Journal
Annals of epidemiology
ISSN: 1873-2585
Titre abrégé: Ann Epidemiol
Pays: United States
ID NLM: 9100013
Informations de publication
Date de publication:
01 2019
01 2019
Historique:
received:
24
11
2017
revised:
25
07
2018
accepted:
25
09
2018
pubmed:
22
10
2018
medline:
23
10
2019
entrez:
22
10
2018
Statut:
ppublish
Résumé
Identifying the exposures or interventions that exacerbate or ameliorate racial health disparities is one of the fundamental goals of social epidemiology. Introducing an interaction term between race and an exposure into a statistical model is commonly used in the epidemiologic literature to assess racial health disparities and the potential viability of a targeted health intervention. However, researchers may attribute too much authority to the interaction term and inadvertently ignore other salient information regarding the health disparity. In this article, we highlight empirical examples from the literature demonstrating limitations of overreliance on interaction terms in health disparities research; we further suggest approaches for moving beyond interaction terms when assessing these disparities. We promote a comprehensive framework of three guiding questions for disparity investigation, suggesting examination of the group-specific differences in (1) outcome prevalence, (2) exposure prevalence, and (3) effect size. Our framework allows for better assessment of meaningful differences in population health and the resulting implications for interventions, demonstrating that interaction terms alone do not provide sufficient means for determining how disparities arise. The widespread adoption of this more comprehensive approach has the potential to dramatically enhance understanding of the patterning of health and disease and the drivers of health disparities.
Identifiants
pubmed: 30342887
pii: S1047-2797(17)31068-2
doi: 10.1016/j.annepidem.2018.09.007
pmc: PMC6628690
mid: NIHMS1509946
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-7Subventions
Organisme : NIAAA NIH HHS
ID : K01 AA021511
Pays : United States
Organisme : NIMHD NIH HHS
ID : R01 MD011680
Pays : United States
Organisme : NICHD NIH HHS
ID : T32 HD007168
Pays : United States
Organisme : NCI NIH HHS
ID : K01 CA172717
Pays : United States
Organisme : NICHD NIH HHS
ID : P2C HD050924
Pays : United States
Informations de copyright
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.
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