Linked Life Data

11173163

Source:http://linkedlifedata.com/resource/pubmed/id/11173163

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2001-2-22
pubmed:abstractText
The present study examined predictors of participation and retention for patients treated at an urban, hospital-based outpatient substance abuse treatment clinic. All patients were interviewed using the Addiction Severity Index (ASI) at the time of admission. Based on lifetime diagnostic history of psychoactive substance abuse/dependence, patients (N=268) were classified as: alcohol-only, drug(s)-only, and alcohol+drug(s). Alcohol-only patients were significantly older, more likely to be Caucasian, married, have less than a high school education, and be employed than drug-only or alcohol/drug patients. Using multiple regression analysis, substance use status did not predict treatment participation and retention, whereas race, gender and employment composite score were significant predictors. Specifically, patients attended more sessions and remained in treatment longer if they were Caucasian, male and had a high employment composite score. These findings suggest that type of substance abuse may be overemphasized as a predictor of outpatient drug-free treatment retention, and that greater emphasis should be placed on tailoring treatment to patients' cultural, gender and vocational needs.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0376-8716
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
62
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
9-17
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Predictors of outpatient treatment retention: patient versus substance use characteristics.
pubmed:affiliation
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Comprehensive Women's Center, 911 N. Broadway, Baltimore, MD 21205, USA. betsymc@jhmi.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't