Drug abuse in Pakistan - United Nations Office on Drugs and Crime

Drug abuse in Pakistan - United Nations Office on Drugs and Crime Drug abuse in Pakistan - United Nations Office on Drugs and Crime

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DRUG ABUSE IN PAKISTAN Table 23. Locales used ong>inong> the key ong>inong>formant study component Key ong>inong>formant study (urban) Key ong>inong>formant study (rural) Study Urban locale No. of key Rural pairong>inong>g No. of key Provong>inong>ce ID No. (districts) ong>inong>formant ong>inong>terviews locale ong>inong>formant ong>inong>terviews Punjab 7 Lahore 22 Kanna 3 6 Multan 10 Mattial 5 10 Rawalpong>inong>di 12 Dahmial 3 8 Sialkot 10 Rangpura 6 9 Faislabad 11 Jaranwalla 4 Song>inong>dh 3 Karachi 20 Malir 5 4 Hyderabad 14 Tando Allah Yar 5 5 Sukkar 15 Abad Jageer 5 Balochistan 2 Quetta 13 Kachlaq 5 1 Turbat 6 Godaan 6 NWFP 12 Peshawar 10 Bad Bair Village 5 14 Bannu 5 Mandan 5 13 Maradan 5 Tahkat Bai 2 17 Chitral 5 Garrama Chasma 5 15 Dir 7 Rural Timergrah 5 16 Gilgit 3 Ghaok Gaza 5 18 Haripur 7 Rehana 6 (FATA)* 20 Mohmand Agency 5 21 Khyber Agency Ladi Kotal 5 Totals 175 90 *For prevalence estimation purposes FATA is ong>inong>corporated with NWFP. In any given survey, derivong>inong>g the requisite ong>inong>formation requires methods suited to and adapted to the social and geographical structures of the country at that time. Precise operational defong>inong>itions implemented ong>inong> the survey need to be tailored to the available ong>inong>formation and data collection possibilities. The immediate steps ong>inong> providong>inong>g a prevalence estimate ong>inong> the ong>Pakistanong> National Survey are therefore as follows. Estimatong>inong>g the number of addicts ong>inong> treatment Data from the Treatment Register Update study were used to determong>inong>e the number of addicts receivong>inong>g treatment over the 12 months prior to the survey. This figure was restricted to those addicts undergoong>inong>g ong>inong>patient treatment ong>inong> specialist drug clong>inong>ics, and this decision was made for two reasons. Firstly, it provided a clearer focus for determong>inong>ong>inong>g the nature of the drug addiction for which the person was beong>inong>g treated, and so allowed a more accurate defong>inong>ition of the target group of addicts to be implemented, than would be the case had broader general health settong>inong>gs for treatment been ong>inong>cluded. Secondly, the enumeration of all addicts treated at specialist units over the 12 months is more accurately and more easily carried out than could be the case ong>inong> more broadly defong>inong>ed and more widespread health treatment settong>inong>gs. Although therefore some addict treatment episodes are not ong>inong>cluded ong>inong> the figure, this shortfall can be corrected at the second stage of the calculation. In determong>inong>ong>inong>g the number of addicts so treated, the distong>inong>ction has been made between the number of treatment episodes and the underlyong>inong>g number of 50

NATIONAL DRUG CONTOUR MAPPING Table 24. Locales ong>inong> the treatment register study and ong>inong> the four cities study Locales ong>inong> Treatment register overall study update study Four cities Study Urban locale Specialist treatment No. of treatment Addict ong>inong>terviews Provong>inong>ce ID No. (districts) centres centres conducted Punjab 7 Lahore Lahore 14** 256* 6 Multan Multan 5 10 Rawalpong>inong>di Rawalpong>inong>di 6 8 Sialkot Sialkot 2 9 Faislabad Faislabad 1 Song>inong>dh 3 Karachi Karachi 17** 264* 4 Hyderabad Hyderabad 6 5 Sukkar Sukkar 2 Balochistan 2 Quetta Quetta 3 255* 1 Turbat NWFP 12 Peshawar Peshawar 7 262* 14 Bannu Bannu 1 13 Maradan Maradan 1 17 Chitral Chitral 2** 15 Dir Dir 1 16 Gilgit 18 Haripur (FATA)*** 20 Mohmand Agency 21 Khyber Agency Totals 68 1 037 *A total of six additional ong>inong>terviews with female addicts were conducted. **Three locales reported a treatment centre with no ong>inong>patient facilities. ***For prevalence estimation purposes FATA is ong>inong>corporated with NWFP. people who generate the episode total through repeated treatment episodes durong>inong>g the same year. The ong>inong>formation from the Treatment Register Update study generated a profile of specialist drug treatment clong>inong>ics across ong>Pakistanong>. The ong>inong>formation on numbers of ong>inong>patient beds and numbers of male hard drug users treated durong>inong>g the year are given ong>inong> summary form ong>inong> table 27 below. Estimatong>inong>g the multiplier to represent addicts not receivong>inong>g treatment The appropriate multiplier for the calculation, as a consequence of the above decisions on ong>inong>clusion, represents all addicts who did not receive treatment ong>inong> specialist drug clong>inong>ics durong>inong>g the year. This ong>inong>formation was collected from a combong>inong>ation of data sources, namely from the four cities study and from the key ong>inong>formants study. The addicts ong>inong>terviewed ong>inong> the four cities study—those who were not currently ong>inong> treatment—were asked whether they had been ong>inong> treatment ong>inong> the 12 months prior to their ong>inong>terview. The proportion of addicts who had been treated could therefore be estimated. This was done ong>inong> all four cities where addict ong>inong>terviews were conducted. The key ong>inong>formant study provided more widely spread ong>inong>formation—by direct questionong>inong>g of the respondent—that gave the proportion of addicts treated that year ong>inong> the various locales used ong>inong> the study. Informants who were not directly ong>inong>volved 51

NATIONAL DRUG CONTOUR MAPPING<br />

Table 24. Locales <str<strong>on</strong>g>in</str<strong>on</strong>g> the treatment register study <strong>and</strong> <str<strong>on</strong>g>in</str<strong>on</strong>g> the four cities study<br />

Locales <str<strong>on</strong>g>in</str<strong>on</strong>g><br />

Treatment register<br />

overall study update study Four cities<br />

Study Urban locale Specialist treatment No. of treatment Addict <str<strong>on</strong>g>in</str<strong>on</strong>g>terviews<br />

Prov<str<strong>on</strong>g>in</str<strong>on</strong>g>ce ID No. (districts) centres centres c<strong>on</strong>ducted<br />

Punjab 7 Lahore Lahore 14** 256*<br />

6 Multan Multan 5<br />

10 Rawalp<str<strong>on</strong>g>in</str<strong>on</strong>g>di Rawalp<str<strong>on</strong>g>in</str<strong>on</strong>g>di 6<br />

8 Sialkot Sialkot 2<br />

9 Faislabad Faislabad 1<br />

S<str<strong>on</strong>g>in</str<strong>on</strong>g>dh 3 Karachi Karachi 17** 264*<br />

4 Hyderabad Hyderabad 6<br />

5 Sukkar Sukkar 2<br />

Balochistan 2 Quetta Quetta 3 255*<br />

1 Turbat<br />

NWFP 12 Peshawar Peshawar 7 262*<br />

14 Bannu Bannu 1<br />

13 Maradan Maradan 1<br />

17 Chitral Chitral 2**<br />

15 Dir Dir 1<br />

16 Gilgit<br />

18 Haripur<br />

(FATA)*** 20 Mohm<strong>and</strong> Agency<br />

21 Khyber Agency<br />

Totals 68 1 037<br />

*A total of six additi<strong>on</strong>al <str<strong>on</strong>g>in</str<strong>on</strong>g>terviews with female addicts were c<strong>on</strong>ducted.<br />

**Three locales reported a treatment centre with no <str<strong>on</strong>g>in</str<strong>on</strong>g>patient facilities.<br />

***For prevalence estimati<strong>on</strong> purposes FATA is <str<strong>on</strong>g>in</str<strong>on</strong>g>corporated with NWFP.<br />

people who generate the episode total through<br />

repeated treatment episodes dur<str<strong>on</strong>g>in</str<strong>on</strong>g>g the same year.<br />

The <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong> from the Treatment Register Update<br />

study generated a profile of specialist drug treatment<br />

cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics across <str<strong>on</strong>g>Pakistan</str<strong>on</strong>g>. The <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong> <strong>on</strong> numbers<br />

of <str<strong>on</strong>g>in</str<strong>on</strong>g>patient beds <strong>and</strong> numbers of male hard drug<br />

users treated dur<str<strong>on</strong>g>in</str<strong>on</strong>g>g the year are given <str<strong>on</strong>g>in</str<strong>on</strong>g> summary<br />

form <str<strong>on</strong>g>in</str<strong>on</strong>g> table 27 below.<br />

Estimat<str<strong>on</strong>g>in</str<strong>on</strong>g>g the multiplier to represent<br />

addicts not receiv<str<strong>on</strong>g>in</str<strong>on</strong>g>g treatment<br />

The appropriate multiplier for the calculati<strong>on</strong>, as a<br />

c<strong>on</strong>sequence of the above decisi<strong>on</strong>s <strong>on</strong> <str<strong>on</strong>g>in</str<strong>on</strong>g>clusi<strong>on</strong>,<br />

represents all addicts who did not receive treatment<br />

<str<strong>on</strong>g>in</str<strong>on</strong>g> specialist drug cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics dur<str<strong>on</strong>g>in</str<strong>on</strong>g>g the year. This <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong><br />

was collected from a comb<str<strong>on</strong>g>in</str<strong>on</strong>g>ati<strong>on</strong> of data<br />

sources, namely from the four cities study <strong>and</strong> from<br />

the key <str<strong>on</strong>g>in</str<strong>on</strong>g>formants study. The addicts <str<strong>on</strong>g>in</str<strong>on</strong>g>terviewed <str<strong>on</strong>g>in</str<strong>on</strong>g><br />

the four cities study—those who were not currently<br />

<str<strong>on</strong>g>in</str<strong>on</strong>g> treatment—were asked whether they had been <str<strong>on</strong>g>in</str<strong>on</strong>g><br />

treatment <str<strong>on</strong>g>in</str<strong>on</strong>g> the 12 m<strong>on</strong>ths prior to their <str<strong>on</strong>g>in</str<strong>on</strong>g>terview.<br />

The proporti<strong>on</strong> of addicts who had been treated<br />

could therefore be estimated. This was d<strong>on</strong>e <str<strong>on</strong>g>in</str<strong>on</strong>g> all<br />

four cities where addict <str<strong>on</strong>g>in</str<strong>on</strong>g>terviews were c<strong>on</strong>ducted.<br />

The key <str<strong>on</strong>g>in</str<strong>on</strong>g>formant study provided more widely<br />

spread <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong>—by direct questi<strong>on</strong><str<strong>on</strong>g>in</str<strong>on</strong>g>g of the<br />

resp<strong>on</strong>dent—that gave the proporti<strong>on</strong> of addicts<br />

treated that year <str<strong>on</strong>g>in</str<strong>on</strong>g> the various locales used <str<strong>on</strong>g>in</str<strong>on</strong>g> the<br />

study. Informants who were not directly <str<strong>on</strong>g>in</str<strong>on</strong>g>volved<br />

51

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