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Correlates of pre‐treatment drop‐out among persons with marijuana dependence
Author(s) -
Vendetti Janice,
McRee Bonnie,
Miller Michael,
Christiansen Kenneth,
Herrell James
Publication year - 2002
Publication title -
addiction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.424
H-Index - 193
eISSN - 1360-0443
pISSN - 0965-2140
DOI - 10.1046/j.1360-0443.97.s01.8.x
Subject(s) - logistic regression , medicine , drop out , psychiatry , substance abuse treatment , referral , substance abuse , randomized controlled trial , clinical psychology , stepwise regression , psychology , family medicine , economics , demographic economics
Aims Our objective was to identify client characteristics and other factors associated with pre‐treatment drop‐out by people with marijuana dependence. Design and participants Data from the Marijuana Treatment Project's screening assessment were used to examine correlates of pre‐treatment drop‐out. Information from all eligible study participants ( n = 813) (i.e. those who were interested in receiving treatment for their marijuana dependence and were determined to be eligible for the randomized treatment efficacy trial) was used to examine differences between the 450 participants who initiated treatment (by enrolling in the trial) and the 363 individuals who declined enrollment. Setting The study was conducted at three community‐based outpatient treatment facilities in Farmington, CT, Seattle, WA and Miami, FL. Measurements The information gathered in the screening interview included demographic characteristics, residential stability variables, employment and education history and referral source. Substance use variables included the number of days and the number of times per day marijuana was used, self‐perceived dependence on marijuana, alcohol or other drugs, other drug use history and current treatment (i.e. substance abuse, medical, psychiatric) situation. Findings Stepwise logistic regression was conducted to confirm variables associated with treatment initiation in bivariate analyses. Pre‐treatment drop‐out was associated with being younger, unmarried, unemployed, less educated and Asian American or Native American. It was also associated with self‐perceived dependence on marijuana and use of other drugs. Conclusions By recognizing demographic and substance use factors that may serve as barriers for individuals accessing treatment for marijuana dependence, clinicians may target clients with these characteristics proactively to encourage treatment initiation and subsequent attendance.