Evidence map›Paper›PMID 36520883›Full record

ArticlePloS one2022

Prioritization of carceral spending in U.S. cities: Development of the Carceral Resource Index (CRI) and the role of race and income inequality.

Britt Skaathun, Francesca Maviglia, Anh Vo, Allison McBride, Sarah Seymour, Sebastian Mendez, Gregg Gonsalves, Leo Beletsky

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

8 authors.

Britt SkaathunDivision of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, United States of America.ORCID 0000-0001-8780-3612
Francesca MavigliaYale School of Public Health, Public Health Modeling Unit, Yale University, New Haven, CT, United States of America.
Anh VoDivision of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, United States of America.ORCID 0000-0002-3468-2674
Allison McBrideHealth in Justice Action Lab, School of Law and Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States of America.
Sarah SeymourHealth in Justice Action Lab, School of Law and Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States of America.
Sebastian MendezHealth in Justice Action Lab, School of Law and Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States of America.
Gregg GonsalvesYale School of Public Health, Public Health Modeling Unit, Yale University, New Haven, CT, United States of America.ORCID 0000-0002-5789-9841
Leo BeletskyDivision of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, United States of America.

Funding

Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR37DA015612 · NIDA · STANFORD UNIVERSITY · PI DOUGLAS K OWENS · 2019 to 2026
$6.3M
Novel, Adaptive Approaches to Predicting and Responding to Outbreaks of Overdose, HIV and HCV Among People Who Use DrugsDP2DA049282 · NIDA · YALE UNIVERSITY · PI GONSALVES, GREGG STEVEN · 2019 to 2019
$2.5M
Leveraging Networks, Epidemiology, and Epidemic Modeling: Creative Approaches for HIV EliminationK01DA049665 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SKAATHUN, BRITT · 2019 to 2023
$947k
NIDA NIH HHS DP2 DA049282NIDA NIH HHS K01 DA049665NIDA NIH HHS R37 DA015612
6 · The paper itself

Abstract

backgroundPolicing, corrections, and other carceral institutions are under scrutiny for driving health harms, while receiving disproportionate resources at the expense of prevention and other services. Amidst renewed interest in structural determinants of health, roles of race and class in shaping government investment priorities are poorly understood.

methodsBased on the Social Conflict Model, we assessed relationships between city racial/ economic profiles measured by the Index of Concentration at the Extremes (ICE) and budgetary priorities measured by the novel Carceral Resource Index (CRI), contrasting investments in carceral systems with funding for health and social support across the 50 most populous cities in the United States (U.S.). Bivariate correlations, and unadjusted and adjusted polynomial regression models were used to assess the relationship between budgetary investments and population concentration at extremes in terms of income, racial/ethnic composition, and education, controlling for other demographic characteristics.

resultsIn our sample, median CRI was -0.59 (IQR -0.64, -0.45), with only seven cities exhibiting positive CRI values. This indicates that most large U.S. cities spend more on carceral systems than on health and supportive services, combined. Adjusted polynomial models showed a convex relationship between the CRI and ICE-Education, and ICE-Race(White vs. Black)+Income, with quadratic terms that were positive and significant at p<0.05. After controlling for age, the strongest prioritization of carceral systems was observed in cities where the proportion of low-income Black residents approached or exceeded that of high-income white residents.

conclusionsMunicipal prioritization of carceral investments over health and social support is pervasive in the U.S and exacerbated by racial and economic disparities. The CRI offers new opportunities to understand the role of government investments as a structural determinant of health and safety. Longitudinal research is warranted to examine the relationship between budget priorities, structural racism, and health outcomes.

Indexed as

Black PeopleIncomeBlack or African AmericanCitiesEducational StatusHumansPovertyUnited States

Identifiers

PMID36520883
PMCPMC9754598

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.