title: Size estimation of injecting drug users (IDU) using multiplier method in five districts of India.
abstract: The HIV epidemic in Manipur, the highest HIV prevalence state of India, is primarily driven by injecting drug use. Reliable estimate of population size of injecting drug users (IDU) is critical for aiding HIV prevention program in the state to combat drug driven HIV epidemic. The study described multiplier method, an indirect technique of estimation of IDU size in five districts of Manipur, India making use of existing records of rapid intervention and care (RIAC) programs. Number of IDUs who accessed RIAC services during the past 12 months was taken as the benchmark data for the size estimation. The benchmark data were then multiplied by the inverse of the proportion of the IDUs who reported having accessed RIAC services during the same period to derive the sizes of IDU population in each study districts. The estimated sizes of IDU population in five districts were: 7353 (95% CI: 6759-8123) in Imphal West, 5806 (95% CI: 5635-6054) in Imphal East, 3816 (95% CI: 3571-4139) in Thoubal, 2615 (95% CI: 2528-2731) in Churachandpur and 2137 (95% CI: 1979-2343) in Bishenpur district. Multiplier method seems to be a feasible indirect technique which can be applied to estimate of IDU population using existing data from intervention programs in settings like Manipur where reliable size estimation of IDU population is lacking.
authors.affiliation: Regional Medical Research Centre, NE Region, Indian Council of Medical Research, Dibrugarh 786001, Assam, India. gkmedhi_ro@rediffmail.com
authors.forename: Gajendra Kr
authors.initials: GK
authors.lastname: Medhi
authors.forename: Jagadish
authors.initials: J
authors.lastname: Mahanta
authors.forename: Brogen S
authors.initials: BS
authors.lastname: Akoijam
authors.forename: Rajatashuvra
authors.initials: R
authors.lastname: Adhikary
mesh_terms: D006801:Humans; D007194:India / Q000453:epidemiology; D008605:Mental Health Services / Q000706:statistics & numerical data*; D015233:Models, Statistical; D015819:Substance Abuse, Intravenous / Q000453:epidemiology*