Predicting Inpatient Detoxification Outcome of Alcohol and Drug Dependent Patients: The Influence of Sociodemographic Environment, Motivation, Impulsivity, and Medical Comorbidities

Aims. This prospective study aims to identify patient characteristics as predictors for treatment outcome during inpatient detoxification treatment for drug and alcohol dependent patients. Methods. A mixed gender sample of 832 consecutively admitted drug and alcohol dependent patients were interview...

Full description

Bibliographic Details
Main Authors: Yvonne Sofin, Heidi Danker-Hopfe, Tina Gooren, Peter Neu
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Journal of Addiction
Online Access:http://dx.doi.org/10.1155/2017/6415831
id doaj-1c9704aa40394a3d81df88398d96ae2c
record_format Article
spelling doaj-1c9704aa40394a3d81df88398d96ae2c2020-11-24T23:55:49ZengHindawi LimitedJournal of Addiction2090-78342090-78502017-01-01201710.1155/2017/64158316415831Predicting Inpatient Detoxification Outcome of Alcohol and Drug Dependent Patients: The Influence of Sociodemographic Environment, Motivation, Impulsivity, and Medical ComorbiditiesYvonne Sofin0Heidi Danker-Hopfe1Tina Gooren2Peter Neu3Jewish Hospital Berlin, Clinic for Psychiatry and Psychotherapy, Heinz-Galinski-Str. 1, 13347 Berlin, GermanyCompetence Center for Sleep Medicine, Charité-School of Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12203 Berlin, GermanyCharité-School of Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12203 Berlin, GermanyJewish Hospital Berlin, Clinic for Psychiatry and Psychotherapy, Heinz-Galinski-Str. 1, 13347 Berlin, GermanyAims. This prospective study aims to identify patient characteristics as predictors for treatment outcome during inpatient detoxification treatment for drug and alcohol dependent patients. Methods. A mixed gender sample of 832 consecutively admitted drug and alcohol dependent patients were interviewed by an experienced physician. The impact of a variety of factors concerning social environment, therapy motivation, impulsivity related variables, medical history, and addiction severity on treatment outcome was examined. Results. 525 (63.1%) of the patients completed detoxification treatment whereas 307 (36.9%) dropped out prematurely. Being female, living in a partnership, having children, being employed, and having good education were predictive for a positive outcome. Family, health, the fear of losing the job, prosecution, and emergency admission were significant motivational predictors for treatment outcome. Being younger, history of imprisonment, and the number of previous drop-outs were predictive for a negative outcome. Conclusions. Variables concerning social environment and the number of previous drop-outs have been identified as best predictors for treatment outcome. Socially stable patients benefit from the current treatment setting and treatment shall be adapted for patients with negative predictors. Treatment may consequently be tailored with respect to intervention type, duration, and intensity to improve the outcome for those patients that fulfil criteria with negative impact on treatment retention.http://dx.doi.org/10.1155/2017/6415831
collection DOAJ
language English
format Article
sources DOAJ
author Yvonne Sofin
Heidi Danker-Hopfe
Tina Gooren
Peter Neu
spellingShingle Yvonne Sofin
Heidi Danker-Hopfe
Tina Gooren
Peter Neu
Predicting Inpatient Detoxification Outcome of Alcohol and Drug Dependent Patients: The Influence of Sociodemographic Environment, Motivation, Impulsivity, and Medical Comorbidities
Journal of Addiction
author_facet Yvonne Sofin
Heidi Danker-Hopfe
Tina Gooren
Peter Neu
author_sort Yvonne Sofin
title Predicting Inpatient Detoxification Outcome of Alcohol and Drug Dependent Patients: The Influence of Sociodemographic Environment, Motivation, Impulsivity, and Medical Comorbidities
title_short Predicting Inpatient Detoxification Outcome of Alcohol and Drug Dependent Patients: The Influence of Sociodemographic Environment, Motivation, Impulsivity, and Medical Comorbidities
title_full Predicting Inpatient Detoxification Outcome of Alcohol and Drug Dependent Patients: The Influence of Sociodemographic Environment, Motivation, Impulsivity, and Medical Comorbidities
title_fullStr Predicting Inpatient Detoxification Outcome of Alcohol and Drug Dependent Patients: The Influence of Sociodemographic Environment, Motivation, Impulsivity, and Medical Comorbidities
title_full_unstemmed Predicting Inpatient Detoxification Outcome of Alcohol and Drug Dependent Patients: The Influence of Sociodemographic Environment, Motivation, Impulsivity, and Medical Comorbidities
title_sort predicting inpatient detoxification outcome of alcohol and drug dependent patients: the influence of sociodemographic environment, motivation, impulsivity, and medical comorbidities
publisher Hindawi Limited
series Journal of Addiction
issn 2090-7834
2090-7850
publishDate 2017-01-01
description Aims. This prospective study aims to identify patient characteristics as predictors for treatment outcome during inpatient detoxification treatment for drug and alcohol dependent patients. Methods. A mixed gender sample of 832 consecutively admitted drug and alcohol dependent patients were interviewed by an experienced physician. The impact of a variety of factors concerning social environment, therapy motivation, impulsivity related variables, medical history, and addiction severity on treatment outcome was examined. Results. 525 (63.1%) of the patients completed detoxification treatment whereas 307 (36.9%) dropped out prematurely. Being female, living in a partnership, having children, being employed, and having good education were predictive for a positive outcome. Family, health, the fear of losing the job, prosecution, and emergency admission were significant motivational predictors for treatment outcome. Being younger, history of imprisonment, and the number of previous drop-outs were predictive for a negative outcome. Conclusions. Variables concerning social environment and the number of previous drop-outs have been identified as best predictors for treatment outcome. Socially stable patients benefit from the current treatment setting and treatment shall be adapted for patients with negative predictors. Treatment may consequently be tailored with respect to intervention type, duration, and intensity to improve the outcome for those patients that fulfil criteria with negative impact on treatment retention.
url http://dx.doi.org/10.1155/2017/6415831
work_keys_str_mv AT yvonnesofin predictinginpatientdetoxificationoutcomeofalcoholanddrugdependentpatientstheinfluenceofsociodemographicenvironmentmotivationimpulsivityandmedicalcomorbidities
AT heididankerhopfe predictinginpatientdetoxificationoutcomeofalcoholanddrugdependentpatientstheinfluenceofsociodemographicenvironmentmotivationimpulsivityandmedicalcomorbidities
AT tinagooren predictinginpatientdetoxificationoutcomeofalcoholanddrugdependentpatientstheinfluenceofsociodemographicenvironmentmotivationimpulsivityandmedicalcomorbidities
AT peterneu predictinginpatientdetoxificationoutcomeofalcoholanddrugdependentpatientstheinfluenceofsociodemographicenvironmentmotivationimpulsivityandmedicalcomorbidities
_version_ 1725461125504434176