Evidence map›Paper›PMID 39668981›Full record

ArticleSocial sciences & humanities open2024

Exploring racial disparities in sex trafficking special docket court programs.

Aaron Murnan, Gwen England, Samantha Boch, Caneacha Matthews, Henry O Duah, Islam Qasem, Sarah Manchak

Abstract read
In one paragraph

Article in Social sciences & humanities open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Aaron MurnanDepartment of Population Health, College of Nursing, University of Cincinnati, 3110 Vine Street, Cincinnati, OH, 45219, USA.
Gwen EnglandCreating Autonomy Through Collaborative Healing (CATCH), Specialty Docket Court Program, Franklin County Municipal Court, 375 S High Street, Columbus, OH, 43215, USA.
Samantha BochDepartment of Population Health, College of Nursing, University of Cincinnati, 3110 Vine Street, Cincinnati, OH, 45219, USA.
Caneacha MatthewsDepartment of Biological Sciences, College of Arts and Sciences, University of Cincinnati, 155 B Arts & Science Hall, Cincinnati, OH, 45221, USA.
Henry O DuahDepartment of Population Health, College of Nursing, University of Cincinnati, 3110 Vine Street, Cincinnati, OH, 45219, USA.
Islam QasemDepartment of Population Health, College of Nursing, University of Cincinnati, 3110 Vine Street, Cincinnati, OH, 45219, USA.
Sarah ManchakSchool of Criminal Justice, University of Cincinnati, PO Box 210389, TDC 600, Cincinnati, OH, 45221, USA.

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
A Unique, Co-Designed Family-Based Therapy for Women with Opioid Use Disorder and Justice-InvolvementK23DA058053 · NIDA · UNIVERSITY OF CINCINNATI · PI Aaron William Murnan · 2023 to 2026
$768k
NCATS NIH HHS UL1 TR001425NIDA NIH HHS K23 DA058053
6 · The paper itself

Abstract

Purpose: The United States criminal legal system has a long-standing and well-documented history of perpetuating racial disparities in health and well-being through inequitable policing, sentencing, and incarceration practices. In the last decade, the criminal legal system has re-considered their response to women arrested for solicitation via sex trafficking specialty courts. Methods: The current study leverages publicly available data from one large Midwestern county to explore the presence of racial disparities within women's referral to, election to participate in, and success within one specialty court program for women in the sex trade. Results: Between 1990 and 2022, approximately 27,790 women were arrested or cited for solicitation (about 2.5 per day). Among them, 67.0% were White, 31.4% were Black, 0.9% reported another racial identity; and 0.7% had racial identity missing from their record; which aligns with county demographics. Rates of referral to sex trafficking specialty court programs were similar for White and Black women arrested for solicitation (11.6% vs 13.1%, Conclusions: Much greater attention is needed to establish equitable practices and access within this unique branch of specialty court programming. Specifically, these programs should seek to cultivate better reputations as trusted providers among Black women in the sex trade.

Indexed as

Drug courtsRacial disparitiesSex traffickingSpecialty court programsTreatment diversion

Identifiers

PMID39668981
PMCPMC11636177

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LicenceCC BY-NC-ND
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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.