Addiction treatment dropout: exploring patients’ characteristics
This study explored the characteristics associated with treatment dropout in substance dependence patients. A sample of 122 addicted patients (84 treatment completers and 38 treatment dropouts) who sought outpatient treatment was assessed to collect information on socio-demographic, consumption (ass...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2012 |
| País: | España |
| Institución: | Universidad Pública de Navarra |
| Repositorio: | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
| OAI Identifier: | oai:academica-e.unavarra.es:2454/28372 |
| Acceso en línea: | https://hdl.handle.net/2454/28372 |
| Access Level: | acceso abierto |
| Palabra clave: | Drug addiction Assessment Treatment completion Dropout Predictors |
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Addiction treatment dropout: exploring patients’ characteristicsLópez-Goñi, José JavierFernández-Montalvo, JavierArteaga Olleta, AlfonsoDrug addictionAssessmentTreatment completionDropoutPredictorsThis study explored the characteristics associated with treatment dropout in substance dependence patients. A sample of 122 addicted patients (84 treatment completers and 38 treatment dropouts) who sought outpatient treatment was assessed to collect information on socio-demographic, consumption (assessed by EuropAsi), psychopathological (assessed by SCL-90-R) and personality variables (assessed by MCMI-II). Completers and dropouts were compared on all studied variables. According to the results, dropouts scored significantly higher on the EuropAsi variables measuring employment/support, alcohol consumption and family/social problems, as well as on the schizotypal scale of MCMI-II. Because most of significant differences were found in EuropAsi variables, three clusters analyses (2, 3 and 4 groups) based on EuropAsi mean scores were carried out to determine clinically relevant information predicting dropout. The most relevant results were obtained when four groups were used. Comparisons between the four groups derived from cluster analysis showed statistically significant differences in the rate of dropout, with one group exhibiting the highest dropout rate. The distinctive characteristics of the group with highest dropout rate included the presence of an increased labour problem combined with high alcohol consumption. Furthermore, this group had the highest scores on three scales of the MCMI-II: phobic, dependent and schizotypal. The implications of these results for further research and clinical practice are discussed.This study was supported by a grant (code 2/2006) from the Health Department of the Navarre Government (Spain).WileyPsicología y PedagogíaPsikologia eta PedagogiaGobierno de Navarra / Nafarroako Gobernua2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2454/28372reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglés© American Academy of Addiction Psychiatryinfo:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/283722026-06-17T12:41:47Z |
| dc.title.none.fl_str_mv |
Addiction treatment dropout: exploring patients’ characteristics |
| title |
Addiction treatment dropout: exploring patients’ characteristics |
| spellingShingle |
Addiction treatment dropout: exploring patients’ characteristics López-Goñi, José Javier Drug addiction Assessment Treatment completion Dropout Predictors |
| title_short |
Addiction treatment dropout: exploring patients’ characteristics |
| title_full |
Addiction treatment dropout: exploring patients’ characteristics |
| title_fullStr |
Addiction treatment dropout: exploring patients’ characteristics |
| title_full_unstemmed |
Addiction treatment dropout: exploring patients’ characteristics |
| title_sort |
Addiction treatment dropout: exploring patients’ characteristics |
| dc.creator.none.fl_str_mv |
López-Goñi, José Javier Fernández-Montalvo, Javier Arteaga Olleta, Alfonso |
| author |
López-Goñi, José Javier |
| author_facet |
López-Goñi, José Javier Fernández-Montalvo, Javier Arteaga Olleta, Alfonso |
| author_role |
author |
| author2 |
Fernández-Montalvo, Javier Arteaga Olleta, Alfonso |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Psicología y Pedagogía Psikologia eta Pedagogia Gobierno de Navarra / Nafarroako Gobernua |
| dc.subject.none.fl_str_mv |
Drug addiction Assessment Treatment completion Dropout Predictors |
| topic |
Drug addiction Assessment Treatment completion Dropout Predictors |
| description |
This study explored the characteristics associated with treatment dropout in substance dependence patients. A sample of 122 addicted patients (84 treatment completers and 38 treatment dropouts) who sought outpatient treatment was assessed to collect information on socio-demographic, consumption (assessed by EuropAsi), psychopathological (assessed by SCL-90-R) and personality variables (assessed by MCMI-II). Completers and dropouts were compared on all studied variables. According to the results, dropouts scored significantly higher on the EuropAsi variables measuring employment/support, alcohol consumption and family/social problems, as well as on the schizotypal scale of MCMI-II. Because most of significant differences were found in EuropAsi variables, three clusters analyses (2, 3 and 4 groups) based on EuropAsi mean scores were carried out to determine clinically relevant information predicting dropout. The most relevant results were obtained when four groups were used. Comparisons between the four groups derived from cluster analysis showed statistically significant differences in the rate of dropout, with one group exhibiting the highest dropout rate. The distinctive characteristics of the group with highest dropout rate included the presence of an increased labour problem combined with high alcohol consumption. Furthermore, this group had the highest scores on three scales of the MCMI-II: phobic, dependent and schizotypal. The implications of these results for further research and clinical practice are discussed. |
| publishDate |
2012 |
| dc.date.none.fl_str_mv |
2012 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion |
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article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2454/28372 |
| url |
https://hdl.handle.net/2454/28372 |
| dc.language.none.fl_str_mv |
Inglés |
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Inglés |
| dc.rights.none.fl_str_mv |
© American Academy of Addiction Psychiatry info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
© American Academy of Addiction Psychiatry |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Wiley |
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Wiley |
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reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra instname:Universidad Pública de Navarra |
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Universidad Pública de Navarra |
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Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
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Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
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