Human Trafficking Victim's Service Needs and Outcomes: An Analysis of Clinical Law Data.

health needs human trafficking human trafficking clinic interdisciplinary service needs

Journal

Journal of human trafficking
ISSN: 2332-2713
Titre abrégé: J Hum Traffick
Pays: United States
ID NLM: 101731736

Informations de publication

Date de publication:
2020
Historique:
medline: 1 1 2020
pubmed: 1 1 2020
entrez: 21 8 2023
Statut: ppublish

Résumé

Human trafficking is a human rights violation occurring around the world. Despite the profound social, health, and economic consequences of this crime, there is a lack of research about the prevalence and needs of human trafficking victims. The purpose of this study is to describe the healthcare, social service, and legal needs of human trafficking victims seeking services at the University of Michigan Human Trafficking Clinic. A secondary analysis of the University of Michigan Human Trafficking Clinic closed case files from 2009-2016 was performed. Data were extracted from the legal files to create a database and data analyses were completed using descriptive frequencies, logistic, and linear regression. Data were extracted from 65 closed cases made up of 49 female victims(75.4%) and 16 male victims (24.6%) between the ages of 13 and 68 years old (M=30.15). Victims had experienced labor (56.9%) and sex (47.7%) trafficking. Logistic regression modeling indicated that trafficking experiences significantly influenced posttrafficking mental healthcare, social service, and legal needs. Victims of human trafficking have extensive needs; however, there are many barriers to seeking and receiving comprehensive services. In order to serve this vulnerable population, collaboration between disciplines must occur.

Sections du résumé

Background UNASSIGNED
Human trafficking is a human rights violation occurring around the world. Despite the profound social, health, and economic consequences of this crime, there is a lack of research about the prevalence and needs of human trafficking victims. The purpose of this study is to describe the healthcare, social service, and legal needs of human trafficking victims seeking services at the University of Michigan Human Trafficking Clinic.
Methods UNASSIGNED
A secondary analysis of the University of Michigan Human Trafficking Clinic closed case files from 2009-2016 was performed. Data were extracted from the legal files to create a database and data analyses were completed using descriptive frequencies, logistic, and linear regression.
Results UNASSIGNED
Data were extracted from 65 closed cases made up of 49 female victims(75.4%) and 16 male victims (24.6%) between the ages of 13 and 68 years old (M=30.15). Victims had experienced labor (56.9%) and sex (47.7%) trafficking. Logistic regression modeling indicated that trafficking experiences significantly influenced posttrafficking mental healthcare, social service, and legal needs.
Conclusions UNASSIGNED
Victims of human trafficking have extensive needs; however, there are many barriers to seeking and receiving comprehensive services. In order to serve this vulnerable population, collaboration between disciplines must occur.

Identifiants

pubmed: 37600928
doi: 10.1080/23322705.2019.1574476
pmc: PMC10438864
mid: NIHMS1868046
doi:

Types de publication

Journal Article

Langues

eng

Pagination

95-108

Subventions

Organisme : NICHD NIH HHS
ID : F31 HD088091
Pays : United States

Déclaration de conflit d'intérêts

Disclosure Statement None of the authors report any conflicts of interest.

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Auteurs

Michelle Munro-Kramer (M)

School of Nursing, University of Michigan, Ann Arbor, MI, USA.

Dana Beck (D)

School of Nursing, University of Michigan, Ann Arbor, MI, USA.

Kristen Choi (K)

Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA.

Rebecca Singer (R)

School of Nursing, University of Michigan, Ann Arbor, MI, USA.

Annemarie Gebhard (A)

School of Nursing, University of Michigan, Ann Arbor, MI, USA.

Bridgette Carr (B)

Law School, University of Michigan, Ann Arbor, MI, USA.

Classifications MeSH