Predictors of follow up in Opioid dependent subjects

BACKGROUND: Drop out is a major problem in any deaddiction programme as dependence is a chronic illness known to relapse frequently. Understanding factors that predict drop out can help design targeted interventions to promote follow up. AIM: This study aimed to assess the various sociodemographic characteristics of opioid dependent subjects on buprenorphine maintenance treatment following up at OST and dropping out at or before 3months follow up period. METHOD: In this study, sociodemographic characteristics and Quality of Life (QOL) of 34 Opioid dependent subjects (32 males and 2 females) at day of enrolment in OST centre was assessed and comparison between those who followed up and those who dropped out by the end of 3 months was made. RESULT: Statistical analysis of the various sociodemographic characteristics yielded that predictors of good follow up are younger age (F= 4.57907, p= 0.04008), better education (F = 5.07221, p= 0.031305) and belonging to nuclear family. Lesser duration of opioid intake was associated with longer follow up (F = 8.58908, p=0.006195). Better social relationships as evidenced by social relationship domain score of QOL predicted longer follow up (F = 8.58908, p=0.006195). Other characteristics analysed did not yield significant association. CONCLUSION: Younger age, better education, nuclear family and lesser duration of opioid intake predict better follow up. Social support systems promote longer follow up.