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Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis
BACKGROUND: Offenders with personality disorder can be challenging to engage and retain in treatment. The UK Offender Personality Disorder (OPD) pathway aims to proactively and responsively identify and engage offenders with personality disorder. However, a subpopulation of offenders on the pathway...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414335/ https://www.ncbi.nlm.nih.gov/pubmed/37725548 http://dx.doi.org/10.2196/27907 |
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author | Mathlin, Georgina Freestone, Mark Taylor, Celia Shaw, Jake |
author_facet | Mathlin, Georgina Freestone, Mark Taylor, Celia Shaw, Jake |
author_sort | Mathlin, Georgina |
collection | PubMed |
description | BACKGROUND: Offenders with personality disorder can be challenging to engage and retain in treatment. The UK Offender Personality Disorder (OPD) pathway aims to proactively and responsively identify and engage offenders with personality disorder. However, a subpopulation of offenders on the pathway have been found to not be accepted into any OPD service and therefore fail to progress. OBJECTIVE: This study aims to identify and describe offenders on the OPD pathway who fail to progress and to understand the causal drivers by which individuals fail to progress in the pathway. METHODS: A sample of 50 offenders on the OPD pathway who had been refused from at least two OPD services (nonprogression group) were compared to 100 offenders accepted into OPD services (control group). Partial least squares structural equation modeling was used to model the causal factors involved in not being accepted into OPD services. RESULTS: The path coefficients in the structural model showed that the most influential factor in nonprogression was attitude toward treatment (β=.41; P<.001; f(2)=0.25) alongside those with psychopathology (β=.41; P<.001; f(2)=0.25), specifically, psychopathy, psychosis, and co-occurring personality disorder. CONCLUSIONS: The findings of the study provide a basis of how to work with this population in the future to increase the likelihood of acceptance into OPD services. |
format | Online Article Text |
id | pubmed-10414335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104143352023-09-12 Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis Mathlin, Georgina Freestone, Mark Taylor, Celia Shaw, Jake JMIRx Med Original Paper BACKGROUND: Offenders with personality disorder can be challenging to engage and retain in treatment. The UK Offender Personality Disorder (OPD) pathway aims to proactively and responsively identify and engage offenders with personality disorder. However, a subpopulation of offenders on the pathway have been found to not be accepted into any OPD service and therefore fail to progress. OBJECTIVE: This study aims to identify and describe offenders on the OPD pathway who fail to progress and to understand the causal drivers by which individuals fail to progress in the pathway. METHODS: A sample of 50 offenders on the OPD pathway who had been refused from at least two OPD services (nonprogression group) were compared to 100 offenders accepted into OPD services (control group). Partial least squares structural equation modeling was used to model the causal factors involved in not being accepted into OPD services. RESULTS: The path coefficients in the structural model showed that the most influential factor in nonprogression was attitude toward treatment (β=.41; P<.001; f(2)=0.25) alongside those with psychopathology (β=.41; P<.001; f(2)=0.25), specifically, psychopathy, psychosis, and co-occurring personality disorder. CONCLUSIONS: The findings of the study provide a basis of how to work with this population in the future to increase the likelihood of acceptance into OPD services. JMIR Publications 2021-10-29 /pmc/articles/PMC10414335/ /pubmed/37725548 http://dx.doi.org/10.2196/27907 Text en ©Georgina Mathlin, Mark Freestone, Celia Taylor, Jake Shaw. Originally published in JMIRx Med (https://med.jmirx.org), 29.10.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Mathlin, Georgina Freestone, Mark Taylor, Celia Shaw, Jake Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis |
title | Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis |
title_full | Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis |
title_fullStr | Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis |
title_full_unstemmed | Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis |
title_short | Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis |
title_sort | offenders with personality disorder who fail to progress: a case-control study using partial least squares structural equation modeling path analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414335/ https://www.ncbi.nlm.nih.gov/pubmed/37725548 http://dx.doi.org/10.2196/27907 |
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