Literature DB >> 27745538

Self-Harm Among Adult Victims of Human Trafficking Who Accessed Secondary Mental Health Services in England.

Rohan Borschmann1, Sian Oram1, Stuart A Kinner1, Rina Dutta1, Cathy Zimmerman1, Louise M Howard1.   

Abstract

OBJECTIVE: This study estimated the prevalence and correlates of self-harm among adult victims of human trafficking who accessed secondary mental health services, and it estimated the responses of mental health services to these individuals.
METHODS: A clinical records database was searched for self-harm, sociodemographic, clinical, and service use characteristics among trafficked adults who accessed secondary mental health services in South London (2006-2012). Logistic regression models compared trafficked patients (N=84) and a matched cohort of nontrafficked patients (N=287).
RESULTS: Among trafficked patients, 33% had engaged in self-harm prior to care and 25% in self-harm during care. After engaging in self-harm, trafficked patients were more likely than nontrafficked patients to be admitted as a psychiatric inpatient (adjusted odds ratio [AOR]=2.81) but less likely to visit an emergency department (AOR=.47).
CONCLUSIONS: Self-harm is prevalent among trafficked adults accessing secondary mental health services, and mental health professionals have a crucial role to play in supporting survivors.

Entities:  

Keywords:  Self-mutilation & self-destructive behavior; Suicide & self-destructive behavior

Mesh:

Year:  2016        PMID: 27745538     DOI: 10.1176/appi.ps.201500509

Source DB:  PubMed          Journal:  Psychiatr Serv        ISSN: 1075-2730            Impact factor:   3.084


  3 in total

1.  Identifying Human Trafficking Victims on a Psychiatry Inpatient Service: a Case Series.

Authors:  Phuong T Nguyen; Joanna Lamkin; John H Coverdale; Samuel Scott; Karen Li; Mollie R Gordon
Journal:  Psychiatr Q       Date:  2018-06

Review 2.  Reviewing a Decade of Research Into Suicide and Related Behaviour Using the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search (CRIS) System.

Authors:  André Bittar; Sumithra Velupillai; Johnny Downs; Rosemary Sedgwick; Rina Dutta
Journal:  Front Psychiatry       Date:  2020-11-27       Impact factor: 4.157

3.  Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records.

Authors:  Karyn Ayre; André Bittar; Joyce Kam; Somain Verma; Louise M Howard; Rina Dutta
Journal:  PLoS One       Date:  2021-08-04       Impact factor: 3.240

  3 in total

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