DATA ANALYSIS OF INDOOR PATIENTS TREATED AT DRUG DE-ADDICTION CENTRE In order to develop thoughtful intervention and appropriate response towards the menace of drug abuse a discrete study of data of indoor patients treated at drug de addiction Centre was conducted and following observations were made. 1. Demographic pattern. In last three years from 2016 to 2018, total 391 in patients were treated in De-addiction Centre and all of them are observed to be male. 2) Educational Qualification:- During 2016-2018, the education wise pattern of victim shows that the treated victims who were Matric were maximum at 32% followed by under metric 28%, under graduate 20%, above graduate and illiterate both at 7%. Whereas graduate at 6% 2016 2017 2018 Total MALE 111 196 84 391 FEMALE 0 0 0 0 111 196 84 391 0 100 200 300 400 500 Axis Title Gender wise distribution of victim GRADUATE ABOVE GRADUATE U/ GRADUATE MATRIC U/ MATRIC ILLITRATE 2016 5 8 18 35 36 9 2017 14 16 46 62 43 17 2018 6 1 14 26 29 0 5 8 18 35 36 9 14 16 46 62 43 17 6 1 14 26 29 0 0 10 20 30 40 50 60 70 Axis Title Education wise distribution of victim
3) Rural / Urban demography:- Analysis of Data also shows that in two years i.e. from 2016,2017 victims treated in De-addiction Centre belonging to rural background were 54% whereas from urban background 46% GRADUATE ABOVE, 25, 7% GRADUATE, 25, 6% U/ GRADUATE, 78, 20% MATRIC, 123, 32% U/ MATRIC, 108, 28% ILLITRATE, 26, 7% 0 20 40 60 80 100 120 140 GRADUATE ABOVE GRADUATE U/ GRADUATE MATRIC U/ MATRIC ILLITRATE Total 25 25 78 123 108 26 25 25 78 123 108 26 Axis Title Education wise pattern of victim for last three years (2016-2018) RURAL URBAN 2016 53 59 2017 113 83 53 59 113 83 0 20 40 60 80 100 120 Axis Title Yearwise Rural/Urban pattern
4) Pattern of abusive substances used by victim:- It has been observed that Canabiss is abused most by the victim (37%) followed by Sposmproxibon victim 17%, BZD 11%, alcohol 8%, codeine 8%, Heroine 5%, Fevicol 4% brown sugar 2%, Patrol 2%, Tremadole 2%, Opioda 2% Rural , 166, 54% Urban, 142, 46% Rural-Urban pattern 0 20 40 60 80 100 120 140 Cannabis Alcohol SP Codiene Brown Sugar Petrol BZD Opiods Fevicol SR Tremadol Ultracet Heroin Fuki Alprax Cocane Morphine 2016 84 18 38 17 4 16 29 2 3 5 1 3 2 5 0 0 2017 133 31 63 29 8 0 47 12 18 10 2 20 3 0 5 5 2018 49 6 20 9 1 0 2 0 5 2 0 16 3 0 0 0 84 18 38 17 4 16 29 2 3 5 1 3 2 5 0 0 133 31 63 29 8 0 47 12 18 10 2 20 3 0 5 5 49 6 20 9 1 0 2 0 5 2 0 16 3 0 0 0 Abusive substance wise pattern
Cannabis, 266, 37% Alcohol, 55, 8% SP, 121, 17% Codiene, 55, 8% Brown Sugar, 13, 2% Petrol, 16, 2% BZD, 78, 11% Opiods, 14, 2% Fevicol SR, 26, 4% Tremadol, 17, 2% Ultracet, 3, 0% Heroin, 39, 5% Fuki, 8, 1% Alprax, 5, 1% Cocane, 5, 1% Morphine, 5, 1% Cannabis Alcohol SP Codiene Brown Sugar Petrol BZD Opiods Fevicol SR Tremadol Ultracet Heroin