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Predictors of engagement in female offenders accessing mental health treatment requirements
The Journal of Forensic Psychiatry & Psychology ( IF 0.7 ) Pub Date : 2021-03-17 , DOI: 10.1080/14789949.2021.1884737
Eva Kotterbova 1 , Sunil Lad 2
Affiliation  

ABSTRACT

Mental Health Treatment Requirements (MHTR) form a part of Community Sentences given by courts which are being expanded nationally. There is a lack of evidence on what factors have a predictive potential for engagement in treatment given the complex nature of the population. The aim of this study is to establish if motivation, insight, mental health diagnosis, current drug use, housing needs, offending history and CORE-OM score predict engagement of female service users. Data obtained from 138 female participants in MHTR site between 2017 and 2020 accepted on MHTR was analysed using correlational, non-experimental design to determine the relationship between the predictor variables and service engagement. Binary logistic regression showed that poor insight, current drug use, offending history and CORE-OM score significantly predicted poor engagement. Motivation, mental health diagnosis and housing needs did not predict engagement. Improvements for the assessment process are suggested to make MHTR services more accessible and diverse, as well as meeting the needs of those with poor engagement rates.



中文翻译:

女性罪犯参与心理健康治疗要求的预测因素

摘要

心理健康治疗要求 (MHTR) 是法院给出的社区判决的一部分,目前正在全国范围内扩大。鉴于人口的复杂性,缺乏关于哪些因素对参与治疗具有预测潜力的证据。本研究的目的是确定动机、洞察力、心理健康诊断、当前吸毒情况、住房需求、犯罪历史和 CORE-OM 评分是否能预测女性服务用户的参与度。从 2017 年至 2020 年间在 MHTR 接受的 MHTR 站点的 138 名女性参与者获得的数据使用相关性、非实验设计进行分析,以确定预测变量与服务参与之间的关系。二元逻辑回归表明,洞察力差、当前吸毒、违规历史和 CORE-OM 分数显着预测了较差的参与度。动机、心理健康诊断和住房需求并不能预测参与度。建议改进评估过程,使 MHTR 服务更容易获得和多样化,并满足参与率低的人的需求。

更新日期:2021-03-17
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