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1.
Harm Reduct J ; 10: 14, 2013 Sep 01.
Article in English | MEDLINE | ID: mdl-24004685

ABSTRACT

BACKGROUND: To determine relapse rates and associated factors among people who use drugs (PWUDs) attending abstinence-oriented drug treatment clinics in Dhaka, Bangladesh. METHODS: A cohort of male and female PWUDs admitted to the 3-month drug detoxification-rehabilitation treatment programmes of three non-governmental organisation-run drug treatment clinics in Dhaka, Bangladesh were interviewed on admission and over the following 5 months, which included the first 2 months after discharge. The study subjects comprised 150 male and 110 female PWUDs who had been taking opiates/opioids, cannabis or other drugs (including sedatives) before admission, had provided informed consent and were aged ≥16 years. Interviews were conducted using semi-structured questionnaires at four time points; on admission, at discharge and at 1 and 2 months after discharge. Relapse rates were assessed by the Kaplan-Meier method. Factors associated with relapse on enrolment and after discharge were determined using the Cox proportional hazards regression model. RESULTS: A greater proportion of female than male subjects relapsed over the study period (71.9% versus 54.5%, p < 0.01). For men, baseline factors associated with relapse were living with other PWUDs (relative hazard ratio [RHR] = 2.27), living alone (RHR = 2.35) and not having sex with non-commercial partners (RHR = 2.27); whereas for women these were previous history of drug treatment (RHR = 1.94), unstable housing (RHR = 2.44), higher earnings (RHR = 1.89), preferring to smoke heroin (RHR = 3.62) and injecting buprenorphine/pethidine (RHR = 3.00). After discharge, relapse for men was associated with unstable housing (RHR = 2.78), living alone (RHR = 3.69), higher earnings (RHR = 2.48) and buying sex from sex workers (RHR = 2.29). Women' relapses were associated with not having children to support (RHR = 3.24) and selling sex (RHR = 2.56). CONCLUSIONS: The relapse rate was higher for female PWUDs. For both male and female subjects the findings highlight the importance of stable living conditions. Additionally, female PWUDs need gender-sensitive services and active efforts to refer them for opioid substitution therapy, which should not be restricted only to people who inject drugs.


Subject(s)
Substance-Related Disorders/rehabilitation , Adult , Bangladesh , Female , Humans , Male , Patient Compliance , Prospective Studies , Recurrence , Sex Work/statistics & numerical data , Sexual Partners , Socioeconomic Factors , Substance Abuse Treatment Centers/statistics & numerical data , Unsafe Sex/statistics & numerical data
2.
Glob Public Health ; 7(3): 219-39, 2012.
Article in English | MEDLINE | ID: mdl-21660788

ABSTRACT

The purpose of this paper was to explore group drug taking behaviour in a slum area of Dhaka, Bangladesh. We set out to examine the relationships between those who met, at least weekly, to take illegal drugs together, and how these relationships might shape their drug behaviour. Sociometric and behavioural data were collected using questionnaires via semi-structured interviews. We found that the likelihood of injecting drugs and sharing needles increased with age, duration of group membership and length of drug use. Drug users were classified into two clusters: one was more cohesive and comprised longer-term users, who were more likely to inject drugs and had poorer physical and mental health. The other cluster comprised younger, better educated members who were more transient, less cohesive, less likely to inject drugs and had better health. Qualitative data suggested that members of the first cluster were less accepting of outsiders and confirmed more to group norms. We conclude that emotionally bonded cohesive subgroups acquire norms, which reinforce problematic drug-using behaviour. Thus, health initiatives need to consider group relationships and norms and those initiatives which work with networks may be more effective and more appropriate for low-income countries.


Subject(s)
Community Networks , Illicit Drugs , Needle Sharing/statistics & numerical data , Poverty , Substance-Related Disorders/epidemiology , Substance-Related Disorders/psychology , Adult , Age Factors , Bangladesh , Cluster Analysis , Health Behavior , Health Status , Humans , Male , Time Factors
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