Evidence map›Paper›PMID 32785046›Full record

ArticleInternational journal of environmental research and public health2020

The Health Opportunity Index: Understanding the Input to Disparate Health Outcomes in Vulnerable and High-Risk Census Tracts.

Chinonso N Ogojiaku, J C Allen, Rexford Anson-Dwamena, Kierra S Barnett, Olorunfemi Adetona, Wansoo Im, Darryl B Hood

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  13. Characteristics of Composite Deprivation Indices Used in Public Health: A Scoping Review Protocol.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Review
  16. Neighborhood-Level Lead Paint Hazard for Children under 6: A Tool for Proactive and Equitable Intervention.International journal of environmental research and public health · 2021
    Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chinonso N OgojiakuDivision of Environmental Health Sciences, College of Public Health, Ohio State University, 408 Cunz Hall, 1841 Neil Ave., Columbus, OH 43210, USA.
J C AllenOffice of Health Equity, Ohio Department of Health, Columbus, OH 43215, USA.
Rexford Anson-DwamenaOffice of Health Equity, Virginia Department of Health, Richmond, VA 23219, USA.
Kierra S BarnettThe Kirwan Institute for the Study of Race and Ethnicity, Ohio State University, Columbus, OH 43201, USA.ORCID 0000-0003-3489-0171
Olorunfemi AdetonaDivision of Environmental Health Sciences, College of Public Health, Ohio State University, 408 Cunz Hall, 1841 Neil Ave., Columbus, OH 43210, USA.ORCID 0000-0001-9850-4028
Wansoo ImDivision of Public Health, Meharry Medical College, Nashville, TN 37208, USA.
Darryl B HoodDivision of Environmental Health Sciences, College of Public Health, Ohio State University, 408 Cunz Hall, 1841 Neil Ave., Columbus, OH 43210, USA.ORCID 0000-0003-3053-1024

Funding

U.S. Environmental Protection Agency G17D112354237
6 · The paper itself

Abstract

The Health Opportunity Index (HOI) is a multivariate tool that can be more efficiently used to identify and understand the interplay of complex social determinants of health (SDH) at the census tract level that influences the ability to achieve optimal health. The derivation of the HOI utilizes the data-reduction technique of principal component analysis to determine the impact of SDH on optimal health at lower census geographies. In the midst of persistent health disparities and the present COVID-19 pandemic, we demonstrate the potential utility of using 13-input variables to derive a composite metric of health (HOI) score as a means to assist in the identification of the most vulnerable communities during the current pandemic. Using GIS mapping technology, health opportunity indices were layered by counties in Ohio to highlight differences by census tract. Collectively we demonstrate that our HOI framework, principal component analysis and convergence analysis methodology coalesce to provide results supporting the utility of this framework in the three largest counties in Ohio: Franklin (Columbus), Cuyahoga (Cleveland), and Hamilton (Cincinnati). The results in this study identified census tracts that were also synonymous with communities that were at risk for disparate COVID-19 related health outcomes. In this regard, convergence analyses facilitated identification of census tracts where different disparate health outcomes co-exist at the worst levels. Our results suggest that effective use of the HOI composite score and subcomponent scores to identify specific SDH can guide mitigation/intervention practices, thus creating the potential for better targeting of mitigation and intervention strategies for vulnerable communities, such as during the current pandemic.

Indexed as

BetacoronavirusCensusesCoronavirus InfectionsCOVID-19Geographic MappingHumansOhioPandemicsPneumonia, ViralPrincipal Component AnalysisSARS-CoV-2Social Determinants of HealthSocioeconomic Factorsdisease convergenceGIShealth disparitieshealth equityhealth opportunity indexOhioprincipal component analysispublic health exposomesocial determinants of healththematic mapping

Identifiers

PMID32785046
PMCPMC7459470

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.