Abstract:
The contemporary studies on drug abuse have blamed the increasing menace of drug abuse on failure of
governments to enact adequate laws prohibiting drug abuse and failure to place strict border controls to prevent entry of drugs.
Others have blamed social media and modernization as key players towards the current trends of drug abuse. As a result
studies have shifted from studying factors leading to drug abuse as these seem to be obvious to studying covariates that leading
to improved probabilities of recovery upon treatment. Female substance users are said to be proportionately more likely to
recover from drug use than male substance abusers. However studies have showed that female drug users experience low
turnout for treatment from drug abuse. With the increasing trend of women drug users seeking treatment there is an urgent need
to estimate survival probability of drug use subjects based on marital status, age, gender and job status. This study sought to
determine the survival probability of drug users in Kenya for the period between July 2013 and June 2015. Kaplan Meier
analysis was used to determine the survival probability of a subject entering into drug use at different stages of life based on
predictive covariates. Survival probability of drug users based on age, gender, marital status and employment status was
determined. The study recommended that there significant differences in survival probability based on gender, age, marital
status and employment status. Therefore the study recommended that treatment services be tailored on treating subjects based
on these predictive covariates.
