Cargando…

Predictors of retention in treatment in a tertiary care de-addiction center

CONTEXT: Retention in treatment can improve the outcomes of patients with substance use disorders. AIMS: This study aimed to assess the predictors of treatment retention in a set of patients admitted with substance use disorders. SETTING AND DESIGN: This record-based study was conducted among consec...

Descripción completa

Detalles Bibliográficos
Autores principales: Majumder, Pradipta, Sarkar, Siddharth, Gupta, Rishab, Patra, Bichitra Nanda, Balhara, Yatan Pal Singh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776577/
https://www.ncbi.nlm.nih.gov/pubmed/26985101
http://dx.doi.org/10.4103/0019-5545.174359
_version_ 1782419167751700480
author Majumder, Pradipta
Sarkar, Siddharth
Gupta, Rishab
Patra, Bichitra Nanda
Balhara, Yatan Pal Singh
author_facet Majumder, Pradipta
Sarkar, Siddharth
Gupta, Rishab
Patra, Bichitra Nanda
Balhara, Yatan Pal Singh
author_sort Majumder, Pradipta
collection PubMed
description CONTEXT: Retention in treatment can improve the outcomes of patients with substance use disorders. AIMS: This study aimed to assess the predictors of treatment retention in a set of patients admitted with substance use disorders. SETTING AND DESIGN: This record-based study was conducted among consecutive patients discharged from the inpatient unit of a tertiary care de-addiction facility in Northern India. MATERIALS AND METHODS: Patients were classified as being retained in treatment or drop-outs based on follow-up records. STATISTICAL ANALYSIS: Those who were retained and those who dropped out were compared using appropriate parametric and nonparametric tests. Logistic regression was used to find out the predictors of retention in treatment. RESULTS: A total of 88 case records were evaluated. All subjects were males and majority of the sample was married, educated up to 10(th) grade, employed, belonged to the nuclear family and urban background. Opioid dependence syndrome (96.6%) was the most common substance use disorder identified. Guilt feelings, general weakness of body, and loss of social respect were the most common substance-related complications experienced. Of the total sample, 40 (45.4%) were classified as retained into treatment. Higher socioeconomic status and having a family member with substance use was associated with higher chances of treatment retention. CONCLUSION: Identification of patient characteristics predicting drop-outs can help in targeting those individuals at higher risk. This can help in more favorable patient outcomes.
format Online
Article
Text
id pubmed-4776577
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Medknow Publications & Media Pvt Ltd
record_format MEDLINE/PubMed
spelling pubmed-47765772016-03-16 Predictors of retention in treatment in a tertiary care de-addiction center Majumder, Pradipta Sarkar, Siddharth Gupta, Rishab Patra, Bichitra Nanda Balhara, Yatan Pal Singh Indian J Psychiatry Bhagawat Award Paper 2015 CONTEXT: Retention in treatment can improve the outcomes of patients with substance use disorders. AIMS: This study aimed to assess the predictors of treatment retention in a set of patients admitted with substance use disorders. SETTING AND DESIGN: This record-based study was conducted among consecutive patients discharged from the inpatient unit of a tertiary care de-addiction facility in Northern India. MATERIALS AND METHODS: Patients were classified as being retained in treatment or drop-outs based on follow-up records. STATISTICAL ANALYSIS: Those who were retained and those who dropped out were compared using appropriate parametric and nonparametric tests. Logistic regression was used to find out the predictors of retention in treatment. RESULTS: A total of 88 case records were evaluated. All subjects were males and majority of the sample was married, educated up to 10(th) grade, employed, belonged to the nuclear family and urban background. Opioid dependence syndrome (96.6%) was the most common substance use disorder identified. Guilt feelings, general weakness of body, and loss of social respect were the most common substance-related complications experienced. Of the total sample, 40 (45.4%) were classified as retained into treatment. Higher socioeconomic status and having a family member with substance use was associated with higher chances of treatment retention. CONCLUSION: Identification of patient characteristics predicting drop-outs can help in targeting those individuals at higher risk. This can help in more favorable patient outcomes. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4776577/ /pubmed/26985101 http://dx.doi.org/10.4103/0019-5545.174359 Text en Copyright: © 2016 Indian Journal of Psychiatry http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Bhagawat Award Paper 2015
Majumder, Pradipta
Sarkar, Siddharth
Gupta, Rishab
Patra, Bichitra Nanda
Balhara, Yatan Pal Singh
Predictors of retention in treatment in a tertiary care de-addiction center
title Predictors of retention in treatment in a tertiary care de-addiction center
title_full Predictors of retention in treatment in a tertiary care de-addiction center
title_fullStr Predictors of retention in treatment in a tertiary care de-addiction center
title_full_unstemmed Predictors of retention in treatment in a tertiary care de-addiction center
title_short Predictors of retention in treatment in a tertiary care de-addiction center
title_sort predictors of retention in treatment in a tertiary care de-addiction center
topic Bhagawat Award Paper 2015
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776577/
https://www.ncbi.nlm.nih.gov/pubmed/26985101
http://dx.doi.org/10.4103/0019-5545.174359
work_keys_str_mv AT majumderpradipta predictorsofretentionintreatmentinatertiarycaredeaddictioncenter
AT sarkarsiddharth predictorsofretentionintreatmentinatertiarycaredeaddictioncenter
AT guptarishab predictorsofretentionintreatmentinatertiarycaredeaddictioncenter
AT patrabichitrananda predictorsofretentionintreatmentinatertiarycaredeaddictioncenter
AT balharayatanpalsingh predictorsofretentionintreatmentinatertiarycaredeaddictioncenter