Evidence map›Paper›PMID 33850697›Full record

ArticlePreventive medicine reports2021

Police brutality, medical mistrust and unmet need for medical care.

Sirry Alang, Donna McAlpine, Malcolm McClain, Rachel Hardeman

Abstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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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

4 authors.

Sirry AlangDepartment of Sociology and Program in Health, Medicine and Society, Health Justice Collaborative, Lehigh University Bethlehem Pennsylvania, United States.
Donna McAlpineDivision of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, United States.
Malcolm McClainDepartment of Sociology and Anthropology, Lehigh University Bethlehem, PA, United States.
Rachel HardemanDivision of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Police brutality is a social determinant of health that can directly impact health status. Social determinants of health can also impact health indirectly by shaping how people access health care. In this study, we describe the relationship between perceived police brutality and an indicator of access to care, unmet need. We also examine medical mistrust as a potential mechanism through which perceived police brutality affects unmet need. Using data from the 2018 Survey of the Health of Urban Residents (N = 4,345), direct effects of perceived police brutality on unmet need and indirect effects through medical mistrust were obtained using the Karlson-Holm-Breen method of effect decomposition. Experiencing police brutality was associated with greater odds of unmet need. Controlling for covariates, 18 percent of the total effect of perceived police brutality on unmet need was explained by medical mistrust. Experiences outside of the health care system matter for access to care. Given the association between police brutality and unmet need for medical care, addressing unmet need among marginalized populations requires public health leaders to engage in conversations about reform of police departments. The coronavirus pandemic makes this even more critical as both COVID-19 and police brutality disproportionately impact Black, Indigenous, Latinx and other communities of color.

Indexed as

Access to careMedical mistrustPolice brutality and healthPolice violenceUnmet need

Identifiers

PMID33850697
PMCPMC8039814

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.