Predictors of dropout in disordered gamblers in UK residential treatment

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dc.contributor.author Roberts, Amanda
dc.contributor.author Murphy, Raegan
dc.contributor.author Turner, John
dc.contributor.author Sharman, Steve
dc.date.accessioned 2019-09-17T13:44:23Z
dc.date.available 2019-09-17T13:44:23Z
dc.date.issued 2019-07-13
dc.identifier.citation Roberts, A., Murphy, R., Turner, J. and Sharman, S. (2019) 'Predictors of Dropout in Disordered Gamblers in UK Residential Treatment', Journal of Gambling Studies. (14pp.) DOI: 10.1007/s10899-019-09876-7 en
dc.identifier.startpage 1 en
dc.identifier.endpage 14 en
dc.identifier.issn 1050-5350
dc.identifier.uri http://hdl.handle.net/10468/8542
dc.identifier.doi 10.1007/s10899-019-09876-7 en
dc.description.abstract Within the cohort of individuals who seek treatment for disordered gambling, over half fail to complete treatment. The current study sought to identify predictors of treatment dropout in a sample of gamblers attending a residential treatment facility for disordered gamblers in the UK and to report differences in voluntary and enforced dropout. Data on 658 gamblers seeking residential treatment with the Gordon Moody Association (GMA) was analysed, collected between 2000 and 2015. Measurements included demographic data, self-reported gambling behavior, (including the Problem Gambling Severity Index), mental and physical health status, and a risk assessment. Binary logistic regression models were used to examine predictors of treatment termination. Results confirm a high percentage of treatment dropout among disordered gamblers (51.3%). Significant predictors of treatment dropout included older age of the client, higher levels of education, higher levels of debt, online gambling, gambling on poker, shorter duration of treatment, higher depression, experience of previous treatment programmes and medication, and adverse childhood experiences. Within non-completers, significant predictors of enforced dropout included lifetime homelessness, less debt, sports gambling, depression and lifetime smoking. Those who were on a longer treatment programme and had previously received gambling treatment or support were less likely to be asked to leave. Clinicians working in inpatient support need to be aware of the increased psychopathogical and psychosocial problems in those who are at risk of termination and make attempts to retain them in treatment and increase patient compliance. en
dc.description.sponsorship University of Lincoln (Research Investment Fund) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Springer New York LLC en
dc.relation.uri https://link.springer.com/article/10.1007%2Fs10899-019-09876-7
dc.rights ©The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Gambling en
dc.subject Disordered gambling en
dc.subject Residential treatment en
dc.subject Inpatient en
dc.subject Treatment dropout en
dc.title Predictors of dropout in disordered gamblers in UK residential treatment en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Raegan Murphy, School of Applied Psychology, University College Cork, Cork, Ireland. +353-21-490-3000 Email: raegan.murphy@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Lincoln University en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Journal of Gambling Studies en
dc.internal.IRISemailaddress raegan.murphy@ucc.ie en
dc.internal.bibliocheck Check for volume, issue, pagination details. en
dc.identifier.eissn 1573-3602


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©The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Except where otherwise noted, this item's license is described as ©The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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