Augustin Rita, Kraus Ludwig
IFT Institute for Therapy Research, Munich, Germany.
Eur Addict Res. 2004;10(2):61-7. doi: 10.1159/000076115.
Estimates of opiate use are calculated for the years 1990/1991, 1995 and 2000 in order to explore the development of problem opiate use in Germany in the preceding decade.
The estimates stem from multiplier methods which extrapolate from a sample (benchmark) of known drug users to the total population by multiplying the benchmark by an appropriate factor that accounts for the unknown population. Data came from the German treatment monitoring system, police and mortality statistics.
The population estimates for 2000 resulted in 166,300-197,500 problem opiate users based on treatment data, 153,000-190,000 heroin users from police data, and 126,900-169,200 (current) injectors from mortality data. Recalculated estimates for 1990/1991 and 1995 derived from the same data sources were found to be somewhat lower.
The reported estimates between 1990 and 2000 point at a moderate increase of problem opiate users in the 1990s. The population estimates based on the multiplier method using three different data sources may be considered consistent for the highly overlapping target groups of (current) injectors, problem heroin and problem opiate users. Nevertheless, some of the applied multipliers are based on small-scale studies, raising the question of representativeness. National prevalence estimates may be improved by using other techniques such as multivariate indicator, capture-recapture, or dynamic models.
计算1990/1991年、1995年和2000年的阿片类药物使用估计数,以探讨德国前十年中问题阿片类药物使用情况的发展。
这些估计数源自乘数法,该方法通过将已知吸毒者样本(基准)乘以一个考虑未知人群的适当因子,从而从该样本推断出总人口情况。数据来自德国治疗监测系统、警方和死亡率统计数据。
根据治疗数据,2000年的人口估计显示有166,300 - 197,500名问题阿片类药物使用者;根据警方数据,有153,000 - 190,000名海洛因使用者;根据死亡率数据,有126,900 - 169,200名(当前)注射吸毒者。重新计算的1990/1991年和1995年来自相同数据源的估计数略低。
1990年至2000年报告的估计数表明,20世纪90年代问题阿片类药物使用者数量适度增加。对于(当前)注射吸毒者、问题海洛因使用者和问题阿片类药物使用者这几个高度重叠的目标群体而言,基于乘数法使用三种不同数据源得出的人口估计数可被认为是一致的。然而,一些应用的乘数是基于小规模研究得出的,这引发了代表性的问题。通过使用其他技术,如多变量指标法、捕获再捕获法或动态模型,可提高全国患病率估计的准确性。