TY - JOUR
T1 - Estimating the relative incidence of heroin use
T2 - Application of a method for adjusting observed reports of first visits to specialized drug treatment agencies
AU - Hickman, Matthew
AU - Seaman, Shaun
AU - De Angelis, Daniela
PY - 2001/4/1
Y1 - 2001/4/1
N2 - In this paper, the authors propose a method for estimating the incidence of heroin use by adjusting reported numbers of heroin users visiting drug treatment agencies for the time lag between onset of heroin use and first treatment request (lag distribution). The adjusted incidence is relative, since it represents the number of individuals beginning heroin use in each year whose cases will be reported within 8 years of starting use. Users with longer lag times or whose cases are never reported are excluded. Utilizing data from southeastern England (1991-1998), the authors analyzed the effects of covariates (sex, age group, ethnic group, route of consumption, and year of onset of drug use) on the lag distribution. Trends in the adjusted incidence of heroin use were very different for injectors and noninjectors: Incidence among injectors seemed to be stable, while in noninjectors it increased twofold between 1991 and 1996-1997. These results must be interpreted cautiously, especially in relation to the wider context of underlying trends in the population. Potential biases derive from underreporting and from changes in the proportion of heroin users in treatment. The lag correction method adds substantially to the value of routine treatment data, at least for heroin use, and is potentially the best method for obtaining estimates of incidence.
AB - In this paper, the authors propose a method for estimating the incidence of heroin use by adjusting reported numbers of heroin users visiting drug treatment agencies for the time lag between onset of heroin use and first treatment request (lag distribution). The adjusted incidence is relative, since it represents the number of individuals beginning heroin use in each year whose cases will be reported within 8 years of starting use. Users with longer lag times or whose cases are never reported are excluded. Utilizing data from southeastern England (1991-1998), the authors analyzed the effects of covariates (sex, age group, ethnic group, route of consumption, and year of onset of drug use) on the lag distribution. Trends in the adjusted incidence of heroin use were very different for injectors and noninjectors: Incidence among injectors seemed to be stable, while in noninjectors it increased twofold between 1991 and 1996-1997. These results must be interpreted cautiously, especially in relation to the wider context of underlying trends in the population. Potential biases derive from underreporting and from changes in the proportion of heroin users in treatment. The lag correction method adds substantially to the value of routine treatment data, at least for heroin use, and is potentially the best method for obtaining estimates of incidence.
KW - Epidemiologic methods
KW - Heroin
KW - Incidence
KW - Substance abuse, intravenous
KW - Substance-related disorders
UR - http://www.scopus.com/inward/record.url?scp=0035313326&partnerID=8YFLogxK
U2 - 10.1093/aje/153.7.632
DO - 10.1093/aje/153.7.632
M3 - Article
C2 - 11282789
AN - SCOPUS:0035313326
SN - 0002-9262
VL - 153
SP - 632
EP - 641
JO - American Journal of Epidemiology
JF - American Journal of Epidemiology
IS - 7
ER -