Prevalence Estimates of Problem Drug Users in the Czech Republic in 2006 and 2007 using the Capture-Recapture Method
Authors:
Mravčík Viktor 1,2; Sopko Bruno 1,3
Authors‘ workplace:
Národní monitorovací středisko pro drogy a drogové závislosti
1; Klinika adiktologie 1. LF UK a VFN v Praze
2; Ústav lékařské chemie a klinické biochemie 2. LF UK a FN Motol v Praze
3
Published in:
Epidemiol. Mikrobiol. Imunol. 62, 2013, č. 2, s. 74-82
Overview
Background:
An estimate of problem drug use prevalence is a substantial part of the monitoring of the epidemiological situation in drug use and its consequences and an important indicator for drug policy implementation. The capture-recapture method (CRM) is one of the most commonly used standard methods for this purpose worldwide.
Methods and material:
The CRM was used to estimate the numbers of problem drug users (PDU) and problem users of opiates/opioids (PUO) in the Czech Republic in 2006 and 2007. The following data sources were used: the General Health Insurance Company records of payments to out- and in-patient psychiatric care providers, records of admissions to psychiatric hospitals, replacement therapy register, and reports of newly diagnosed cases of viral hepatitis. Cases were defined as diagnoses F11, F15, and F19 according to the International Classification of Diseases, Tenth Revision (ICD-10) from the health insurance and admission records, the replacement therapy register covers PUO by definition, and injecting drug users were selected from reported cases of viral hepatitis. Log-linear analysis in Rcapture (R) was performed and the Akaike information criterion was used for model selection.
Results:
Altogether 12,882 and 13,505 individuals entered into analysis of PDUs and 5146 and 5409 individuals entered into analysis of PUO in 2006 and 2007, respectively. The estimates of PDUs were 23,900 (95% CI: 20,700–28,500) in 2006 and 31,000 (25,500–39,400) in 2007. The estimates of PUO were 6,864 (6,641–7,113) in 2006 and 7,096 (6,871–7,346) in 2007. The male/female ratio was 2.2/1. In PDU estimates, 83% were in the age range 15-34 and 17% were aged above 34; in PUO estimates, the respective rates were 80% and 20%. The prevalence rates of PDU in the age range 15-64 were 2.28 and 2.95 per 1,000 population in 2006 and 2007, respectively. The prevalence rates of PUO in the age range 15-64 were 0.65 and 0.67 per 1,000 in 2006 and 2007, respectively. The highest prevalence of both PDUs and PUO was observed in the Usti Region and Prague, followed by the Karlovy Vary, Plzeň, and Central Bohemia Regions.
Conclusion:
PDU estimates in the Czech Republic obtained using the CRM are consistent with those derived by other methods. The major drawbacks are the quality of potential data sources and hassles in their acquisition and preparation. The interconnection of the available data sources also limits the validity and representativeness of estimates and therefore, another independent data source(s) should be sought in the future.
Keywords:
problem drug use – prevalence estimates – capture-recapture method – opiates/opioids – methamphetamine
Sources
1. Baillargeon, S., Rivest, L. P. Rcapture: Loglinear models for capture-recapture in R. Journal of Statistical Software, 2007, 19, 5, p. 1–31.
2. Bishop, Y. M. M., Fienberg, S. E., Holland, P. W. Estimating the size of a closed population discrete multivariate analysis: theory and practice. Discrete Multivariate Analysis Theory and Practice. Cambridge: MA: MIT Press, reprinted in 2007 by Springer-Verlag, New York, 1975, p. 229–256.
3. Degenhardt, L., Bucello, C., Calabria, B. et al. What data are available on the extent of illicit drug use and dependence globally? Results of four systematic reviews. Drug Alcohol Depend, 2011, 117, 2–3, p. 85–101.
4. Degenhardt, L., Hall, W. Extent of illicit drug use and dependence, and their contribution to the global burden of disease. Lancet, 2012, 379, 9810, p. 55–70.
5. Domingo-Salvany, A., Hartnoll, R. L., Maguire, A., Suelves, J. M., Antó, J. M. Use of capture-recapture to estimate the prevalence of opiate addiction in Barcelona, Spain, 1989. Am. J. Epidemiol., 1995, 141, 6, p. 567–574.
6. European monitoring centre for Drugs and Drug Addiction Estimating the Prevalence of Problem Drug Use in Europe. Lisbon: EMCDDA, 1997.
7. European Monitoring Centre for drugs and drug Addiction Methodological Guidelines to Estimate the Prevalence of Problem Drug Use on the Local Level. Lisbon: EMCDDA, 1999.
8. European Monitoring Centre for Drugs and Drug Addiction Recommended Draft Technical Tools and Guidelines, Key Epidemiological Indicator. Prevalence of problem drug use. Lisbon: EMCDDA, 2000.
9. European Monitoring Centre for Drugs and Drug Addiction An overview of the problem drug use (PDU) key indicator. Lisbon: EMCDDA, 2009.
10. European Monitoring Centre for Drugs and Drug Addiction Annual Report 2012. The State of the Drugs Problem in Europe. Luxembourg: Publications Office of the European Union, 2012.
11. European Monitoring Centre for Drugs and Drug Addiction Statistical bulletin 2012. EMCDDA, 2012.
12. European Monitoring Centre for Drugs and Drug Addiction. Key indicators. EMCDDA, 2012.
13. Hall, W. D., Ross, J. E., Lynskey, M. T., Law, M. G., Degenhardt, L. J. How many dependent heroin users are there in Australia? Med. J. Aust., 2000, 173, 10, p. 528–531.
14. Hartnoll, R. Drugs and drug dependence: linking research, policy and practice. Strasbourg: Council of Europe puslishing, 2004.
15. Hook, E. B., Regal, R. R. Capture-recapture methods in epidemiology: methods and limitations. Epidemiological Review, 1995, 17, 2, p. 243–265.
16. King, R., Bird, S. M., Hay, G., Hutchinson, S. J. Estimating current injectors in Scotland and their drug-related death rate by sex, region and age-group via Bayesian capture –recapture methods. Stat Methods Med. Res., 2009, 18, 4, p. 341–359.
17. Kraus, L., Augustin, R., Frischer, M., Kümmler, P., Uhl, A., Wiessing, L. Estimating prevalence of problem drug use at national level in countries of the European Union and Norway. Addiction, 2003, 98, 4, p. 471–485.
18. Mravčík, V., Nechanská, B., Šťastná, L. Lůžková péče o uživatele a závislé na návykových látkách v ČR ve zdravotnické statistice od r. 1959. Epidemiologie, Mikrobiologie, Imunologie, 2011, 60, 1, p. 23–31.
19. Mravčík, V. Epidemiologie užívání drog – 5 klíčových indikátorů. Referátový Výběr z Psychiatrie, 2007, 6, 2, p. 11–16.
20. Mravčík, V., Grohmannová, K., Chomynová, P. et al. Výroční zpráva o stavu ve věcech drog v České republice v roce 2011. Praha: Úřad vlády ČR, 2012.
21. Mravčík, V., Kiššová, L. Prevalenčný odhad problémových užívatelov drog na Slovensku. Alkoholizmus a Drogové závislosti (Protialkoholický Obzor), 2006, 41, 5, p. 259–272.
22. Mravčík, V., Lejčková, P., Korčišová, B. Prevalenční odhady problémových uživatelů drog v ČR – souhrnný článek. Adiktologie, 2005, 5, 1, p. 13–20.
23. Mravčík, V., Nechanská, B., Šťastná, L. Ambulantní péče o uživatele a závislé na návykových látkách v ČR ve zdravotnické statistice od r. 1963. Epidemiologie, Mikrobiologie, Imunologie, 2011, 60, 2, p. 64–73.
24. Mravčík, V., Pešek, R., Horáková, M. et al. Výroční zpráva o stavu ve věcech drog v České republice v roce 2010. Praha: Úřad vlády ČR, 2011.
25. Mravčík, V., Zábranský, T. Prevalenční odhad problémových uživatelů drog v ČR – syntéza dostupných dat. Adiktologie, 2002, 1, 1 Suppl., p. 23–42.
26. Nechanská, B. Péče o pacienty užívající psychoaktivní látky v ambulantních zařízeních ČR v roce 2011. Aktuální informace č. 16/2012. Praha: ÚZIS ČR, 2012.
27. Origer, A. Prevalence of problem drug use and injecting drug use in Luxembourg: a longitudinal and methodological perspective. Eur. Addict. Res., 2012, 18, 6, p. 288–296.
28. Otis, D. L., Burnham, K. P., White, G. C., Anderson, D. R. Statistical Inference from Capture Data on Closed Animal Populations. Wildlife Monographs, 1978, 62, p. 3–135.
29. R Development Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2012.
30. Rehm, J., Room, R., van den Brink, W., Kraus, L. Problematic drug use and drug use disorders in EU countries and Norway: an overview of the epidemiology. Eur. Neuropsychopharmacol, 2005, 15, 4, p. 389–397.
31. Studničková, B., Petrášová, B. Výroční zpráva ČR – 2011. Incidence, prevalence, zdravotní dopady a trendy léčených uživatelů drog. Praha: Hygienická stanice hl. m. Prahy, referát drogové epidemiologie, 2012.
32. Tilling, K., Sterne, J. A. C. Capture-recapture models including covariate effects. American Journal of Epidemiology, 1999, 149, 4, p. 392–400.
33. United Nations Office on Drugs and Crime. Estimating Prevalence: Indirect Methods for Estimating the Size of the Drug Problem. Global Assessment Programme od Drug Abuse. Toolkit module 2. New York: UNODC, 2003.
34. Uusküla, A., Rajaleid, K., Talu, A., Abel-Ollo, K., Des Jarlais, D. C. A decline in the prevalence of injecting drug users in Estonia, 2005–2009. Int. J. Drug Policy, 2013, p. S0955–3959(12)00175-2 [Epub ahead of print].
35. Vaissade, L., Legleye, S. Capture-recapture estimates of the local prevalence of problem drug use in six French cities. Eur. J. Public. Health., 2009, 19, 1, p. 32–37.
36. Wittes, J. T., Sidel, V. W. A generalization of the simple capture-recapture model with applications to epidemiological research. J. Chron. Dis., 1968, 21, 5, p. 287–301.
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