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

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DRUG ABUSE IN PAKISTAN<br />

Table 28.<br />

Treatment multipliers derived from key <str<strong>on</strong>g>in</str<strong>on</strong>g>formant <strong>and</strong> addict <str<strong>on</strong>g>in</str<strong>on</strong>g>terview data<br />

Total of the Karachi Lahore Peshawar Quetta Total of<br />

Total of four city divisi<strong>on</strong> district district district other<br />

all locales locales (S<str<strong>on</strong>g>in</str<strong>on</strong>g>dh) (Punjab) (NWFP) (Balochistan) locales<br />

(iv) Key <str<strong>on</strong>g>in</str<strong>on</strong>g>formant <strong>and</strong> <str<strong>on</strong>g>in</str<strong>on</strong>g>terview treatment multipliers<br />

Range of estimated proporti<strong>on</strong> of addicts who received treatment <str<strong>on</strong>g>in</str<strong>on</strong>g> year (see text)<br />

(a) Maximum likely<br />

proporti<strong>on</strong> who<br />

received treatment 0.2633 0.3000 0.1000 0.4722 0.2567 0.0224 0.2567<br />

(b) Median likely<br />

proporti<strong>on</strong> who<br />

received treatment 0.1225 0.1000 0.0800 0.2056 0.1693 0.0217 0.1464<br />

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

proporti<strong>on</strong> who<br />

received treatment 0.0500 0.0400 0.0400 0.0500 0.0954 0.0212 0.0600<br />

Range of estimated derived multiplier, represent<str<strong>on</strong>g>in</str<strong>on</strong>g>g addicts not receiv<str<strong>on</strong>g>in</str<strong>on</strong>g>g treatment <str<strong>on</strong>g>in</str<strong>on</strong>g> year<br />

(a) M<str<strong>on</strong>g>in</str<strong>on</strong>g>imum multiplier<br />

(applies to cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics’<br />

catchment area) 3.80 3.33 10.00 2.12 3.90 44.64 3.90<br />

(b) Median multiplier<br />

(applies to cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics’<br />

catchment area) 8.16 10.00 12.50 4.86 5.91 46.08 6.83<br />

(c) Maximum multiplier<br />

(applies to cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics’<br />

catchment area) 20.00 25.00 25.00 20.00 10.48 47.17 16.67<br />

Range of estimated number of addicts <str<strong>on</strong>g>in</str<strong>on</strong>g> populati<strong>on</strong> (see text)<br />

Correcti<strong>on</strong> factor for addicts<br />

out-of-catchment (see text) 0.90 0.90 0.90 0.90<br />

(a) Likely estimated<br />

m<str<strong>on</strong>g>in</str<strong>on</strong>g>imum number of<br />

addicts <str<strong>on</strong>g>in</str<strong>on</strong>g> catchment 62 995 56 917 40 597 3 188 3 911 9 221 6 078<br />

(b) Likely estimated<br />

median number of<br />

addicts <str<strong>on</strong>g>in</str<strong>on</strong>g> catchment 89 157 73 517 50 747 7 322 5 929 9 518 15 640<br />

(c) Likely estimated<br />

maximum number of<br />

addicts <str<strong>on</strong>g>in</str<strong>on</strong>g> catchment 189 319 151 868 101 493 30 110 10 522 9 743 37 451<br />

Interpretati<strong>on</strong> of the<br />

<str<strong>on</strong>g>in</str<strong>on</strong>g>itial estimates <strong>and</strong> their<br />

extrapolati<strong>on</strong>s<br />

Calculati<strong>on</strong> sheets are <str<strong>on</strong>g>in</str<strong>on</strong>g>cluded that show the estimati<strong>on</strong><br />

procedure step-by-step as described above.<br />

They produce a range of possible estimates of prevalence<br />

for the country as a whole, broken down by<br />

the cities <str<strong>on</strong>g>in</str<strong>on</strong>g> the four cities study <strong>and</strong> by prov<str<strong>on</strong>g>in</str<strong>on</strong>g>ce.<br />

Supplementary calculati<strong>on</strong> sheets show <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong><br />

for each locale that is used to derive the summary<br />

calculati<strong>on</strong> sheets.<br />

Various technical details are explicated <str<strong>on</strong>g>in</str<strong>on</strong>g> a later<br />

document, but these calculati<strong>on</strong>s provide a first provisi<strong>on</strong>al<br />

estimate of prevalence of hero<str<strong>on</strong>g>in</str<strong>on</strong>g> addicti<strong>on</strong>,<br />

by mak<str<strong>on</strong>g>in</str<strong>on</strong>g>g a variety of assumpti<strong>on</strong>s. The ma<str<strong>on</strong>g>in</str<strong>on</strong>g> features<br />

of the results are summarised below, with some<br />

cauti<strong>on</strong>s <strong>and</strong> guidel<str<strong>on</strong>g>in</str<strong>on</strong>g>es <strong>on</strong> their <str<strong>on</strong>g>in</str<strong>on</strong>g>terpretati<strong>on</strong>.<br />

56

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