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

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DRUG ABUSE IN PAKISTAN<br />

(Subsequently figures were derived separately for each<br />

prov<str<strong>on</strong>g>in</str<strong>on</strong>g>ce, from Census Bullet<str<strong>on</strong>g>in</str<strong>on</strong>g>s 7-10.) This percentage is used<br />

<str<strong>on</strong>g>in</str<strong>on</strong>g> c<strong>on</strong>juncti<strong>on</strong> with the secti<strong>on</strong> 1 figure for the toal male populati<strong>on</strong><br />

to provide the number of males <str<strong>on</strong>g>in</str<strong>on</strong>g> the target age-b<strong>and</strong>,<br />

for each locale-group<str<strong>on</strong>g>in</str<strong>on</strong>g>g.<br />

Data structures presented<br />

Percentage of males <str<strong>on</strong>g>in</str<strong>on</strong>g> target age-b<strong>and</strong><br />

Number of males <str<strong>on</strong>g>in</str<strong>on</strong>g> target populati<strong>on</strong><br />

3. Locale cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ic profiles<br />

Data from the treatment Register Update Study are used to estimate<br />

the number of male hero<str<strong>on</strong>g>in</str<strong>on</strong>g> addicts <str<strong>on</strong>g>in</str<strong>on</strong>g> treatment<br />

Secti<strong>on</strong> 3 of the table presents <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong> collected <str<strong>on</strong>g>in</str<strong>on</strong>g> the<br />

Treatment Register Update comp<strong>on</strong>ent of the Nati<strong>on</strong>al<br />

Assessment. This <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong> gives the key figures of (i) the<br />

total numbers of <str<strong>on</strong>g>in</str<strong>on</strong>g>patient cases <str<strong>on</strong>g>in</str<strong>on</strong>g> the past year who have<br />

attended the listed specialist (<str<strong>on</strong>g>in</str<strong>on</strong>g>patient) cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics; <strong>and</strong> (ii) the<br />

percentage of <str<strong>on</strong>g>in</str<strong>on</strong>g>patient cases who were male hero<str<strong>on</strong>g>in</str<strong>on</strong>g> addicts,<br />

al<strong>on</strong>g with other <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong> <strong>on</strong> the listed cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ic services.<br />

Comb<str<strong>on</strong>g>in</str<strong>on</strong>g><str<strong>on</strong>g>in</str<strong>on</strong>g>g these figures allows the calculati<strong>on</strong> of the number<br />

of male <str<strong>on</strong>g>in</str<strong>on</strong>g>patient hero<str<strong>on</strong>g>in</str<strong>on</strong>g> addicti<strong>on</strong> cases, although <strong>on</strong>ly<br />

<str<strong>on</strong>g>in</str<strong>on</strong>g> 7 of the locale-group<str<strong>on</strong>g>in</str<strong>on</strong>g>gs, s<str<strong>on</strong>g>in</str<strong>on</strong>g>ce the locales <str<strong>on</strong>g>in</str<strong>on</strong>g> Balochistan<br />

other than Quetta had no recorded <str<strong>on</strong>g>in</str<strong>on</strong>g>patient services. So <str<strong>on</strong>g>in</str<strong>on</strong>g><br />

Balochistan <strong>on</strong>ly the Quetta city locale could provide a<br />

figure for the number of male <str<strong>on</strong>g>in</str<strong>on</strong>g>patient hero<str<strong>on</strong>g>in</str<strong>on</strong>g> addicts<br />

treated <str<strong>on</strong>g>in</str<strong>on</strong>g> the past year.<br />

Data structures presented<br />

Total number of beds <str<strong>on</strong>g>in</str<strong>on</strong>g> cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics<br />

Total treatment admissi<strong>on</strong>s<br />

Total number of <str<strong>on</strong>g>in</str<strong>on</strong>g>patients <str<strong>on</strong>g>in</str<strong>on</strong>g> year<br />

Percentage male <str<strong>on</strong>g>in</str<strong>on</strong>g>patient Hero<str<strong>on</strong>g>in</str<strong>on</strong>g> cases<br />

Number of male <str<strong>on</strong>g>in</str<strong>on</strong>g>patient Hero<str<strong>on</strong>g>in</str<strong>on</strong>g> cases<br />

CALCULATION SHEET SUMMARY (2)<br />

The sec<strong>on</strong>d Calculati<strong>on</strong> Summary Sheet extends the estimates<br />

made <str<strong>on</strong>g>in</str<strong>on</strong>g> Summary Sheet 1 of the numbers of<br />

treated hero<str<strong>on</strong>g>in</str<strong>on</strong>g> addicts to give estimates of the likely range<br />

of total numbers of hero<str<strong>on</strong>g>in</str<strong>on</strong>g> addicts for each localegroup<str<strong>on</strong>g>in</str<strong>on</strong>g>g,<br />

<strong>and</strong> for <str<strong>on</strong>g>Pakistan</str<strong>on</strong>g> as a whole.<br />

4. Key Informant <strong>and</strong> Interview Treatment Multipliers<br />

The range of multipliers used to represent the number of addicts not<br />

<str<strong>on</strong>g>in</str<strong>on</strong>g> treatment <str<strong>on</strong>g>in</str<strong>on</strong>g> the year is a composite of all study data<br />

The Key Informant comp<strong>on</strong>ent of the Nati<strong>on</strong>al Assessment<br />

provided <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong> <strong>on</strong> the percentage of addicts treated<br />

<str<strong>on</strong>g>in</str<strong>on</strong>g> each of the locale-group<str<strong>on</strong>g>in</str<strong>on</strong>g>gs. Key <str<strong>on</strong>g>in</str<strong>on</strong>g>formants, exclud<str<strong>on</strong>g>in</str<strong>on</strong>g>g<br />

police <strong>and</strong> treatment-related pers<strong>on</strong>nel, who had c<strong>on</strong>tact<br />

with at least ten addicts over the previous year reported<br />

<strong>on</strong> how many of these had received <str<strong>on</strong>g>in</str<strong>on</strong>g>patient treatment<br />

dur<str<strong>on</strong>g>in</str<strong>on</strong>g>g the year.<br />

These reports from all <str<strong>on</strong>g>in</str<strong>on</strong>g>cluded Key Informants <str<strong>on</strong>g>in</str<strong>on</strong>g> the<br />

locale-group<str<strong>on</strong>g>in</str<strong>on</strong>g>gs gave a median figure for the percentage<br />

of addicts receiv<str<strong>on</strong>g>in</str<strong>on</strong>g>g <str<strong>on</strong>g>in</str<strong>on</strong>g>patient treatment over the previous<br />

year. Am<strong>on</strong>gst these reports the 25%-tile (1st quartile) is<br />

used as a m<str<strong>on</strong>g>in</str<strong>on</strong>g>imum likely estimate <strong>and</strong> the 75%-tile is<br />

used as a maximum likely estimate to provide a likely range<br />

for the estimate of the percentage of addicts who were<br />

treated.<br />

These treatment percentages enable the calculati<strong>on</strong> of a<br />

range of 'treatment multipliers'—factors that give the<br />

required <str<strong>on</strong>g>in</str<strong>on</strong>g>flati<strong>on</strong> factor of local <str<strong>on</strong>g>in</str<strong>on</strong>g>patient treatment<br />

figures to give the total number of local treated <strong>and</strong> untreated<br />

addicts. These <str<strong>on</strong>g>in</str<strong>on</strong>g>flati<strong>on</strong> multipliers are applicable<br />

to the estimated number of local addicts receiv<str<strong>on</strong>g>in</str<strong>on</strong>g>g <str<strong>on</strong>g>in</str<strong>on</strong>g>patient<br />

treatment for each (of 7) locale-group<str<strong>on</strong>g>in</str<strong>on</strong>g>g.<br />

The Treatment Register Update <str<strong>on</strong>g>in</str<strong>on</strong>g>terviews <str<strong>on</strong>g>in</str<strong>on</strong>g> the cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics<br />

provided <str<strong>on</strong>g>in</str<strong>on</strong>g>formally data <strong>on</strong> the percentage of treated<br />

addicts at the listed specialist cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics who are from the<br />

local catchment areas, <strong>and</strong> this catchment 'correcti<strong>on</strong><br />

factor' has been taken at 90% <str<strong>on</strong>g>in</str<strong>on</strong>g> the <str<strong>on</strong>g>in</str<strong>on</strong>g>itial estimati<strong>on</strong><br />

procedures.<br />

Comb<str<strong>on</strong>g>in</str<strong>on</strong>g><str<strong>on</strong>g>in</str<strong>on</strong>g>g, for each of the locale group<str<strong>on</strong>g>in</str<strong>on</strong>g>gs separately,<br />

the figures for the multiplier <strong>and</strong> the catchment correcti<strong>on</strong><br />

factor with the numbers of <str<strong>on</strong>g>in</str<strong>on</strong>g>patient treated addicts<br />

derived <str<strong>on</strong>g>in</str<strong>on</strong>g> secti<strong>on</strong> 3 of the Summary Sheet gives the<br />

estimated total number of hero<str<strong>on</strong>g>in</str<strong>on</strong>g> addicts <str<strong>on</strong>g>in</str<strong>on</strong>g> the study<br />

locales.<br />

Data structures presented<br />

(a) Maximum likely % <str<strong>on</strong>g>in</str<strong>on</strong>g> treatment<br />

(b) Median likely % <str<strong>on</strong>g>in</str<strong>on</strong>g> treatment<br />

(c) M<str<strong>on</strong>g>in</str<strong>on</strong>g>imum likely % <str<strong>on</strong>g>in</str<strong>on</strong>g> treatment<br />

(a) Derived multiplier (for catchment)<br />

(b) Derived multiplier (for catchment)<br />

(c) Derived multiplier (for catchment)<br />

catchment correcti<strong>on</strong><br />

(a) Estimated number of addicts <str<strong>on</strong>g>in</str<strong>on</strong>g> catchment<br />

(b) Estimated number of addicts <str<strong>on</strong>g>in</str<strong>on</strong>g> catchment<br />

(c) Estimated number of addicts <str<strong>on</strong>g>in</str<strong>on</strong>g> catchment<br />

82

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