-
Something wrong with this record ?
Estimation of problem drug users in Prague in 2011 from low-threshold data: modified capture-recapture method, adjusted for clients avoiding any identification (non-coded clients)
B. Sopko, K. Škařupová, V. Nečas, V. Mravčík
Language English Country Czech Republic
Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't
Digital library NLK
Volume
Source
NLK
Free Medical Journals
from 2004
ProQuest Central
from 2009-03-01 to 6 months ago
Medline Complete (EBSCOhost)
from 2006-03-01 to 6 months ago
Nursing & Allied Health Database (ProQuest)
from 2009-03-01 to 6 months ago
Health & Medicine (ProQuest)
from 2009-03-01 to 6 months ago
Public Health Database (ProQuest)
from 2009-03-01 to 6 months ago
ROAD: Directory of Open Access Scholarly Resources
from 1993
- MeSH
- Humans MeSH
- Substance-Related Disorders epidemiology MeSH
- Prevalence MeSH
- Models, Statistical * MeSH
- Population Surveillance MeSH
- Drug Users statistics & numerical data MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
- Geographicals
- Czech Republic MeSH
AIM: Local prevalence estimates of problem drug use (PDU) are crucial in the process of assessment of drug situation and trends and for the planning of evidence-based policy responses. The aims of our study are twofold: to estimate the number of problem drug users (PDUs) in the Czech capital city in 2011, and to examine the usability of the capture-recapture method (CRM) modified for data from low-threshold programmes (LTPs) for drug users. METHOD: Six independent LTPs provided data for analysis (SANANIM, Drop-in and Progressive, each of these providing one drop-in centre and one outreach programme). After adjustment of the standard CRM formula for cases without an individual identifier, the overlaps between programmes were calculated and the size of hidden population was estimated. RESULTS: In total, it was estimated that there were 10,754 PDUs in Prague in 2011. The current estimate is in line with estimates obtained previously using another indirect standard approach - the multiplier method. CONCLUSION: The modified version of CRM thus proved a reliable method for local PDU estimates.
Department of Addictology 1st Faculty of Medicine Charles University Prague Czech Republic
National Institute of Mental Health Prague Czech Republic
National Monitoring Centre for Drugs and Drug Addiction Prague Czech Republic
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc16019690
- 003
- CZ-PrNML
- 005
- 20200803130049.0
- 007
- ta
- 008
- 160721s2016 xr d f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.21101/cejph.a4096 $2 doi
- 024 7_
- $a 10.21101/cejph.a4096 $2 doi
- 035 __
- $a (PubMed)27070968
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xr
- 100 1_
- $a Sopko, Bruno $u National Monitoring Centre for Drugs and Drug Addiction, Prague, Czech Republic; Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic $7 xx0250670
- 245 10
- $a Estimation of problem drug users in Prague in 2011 from low-threshold data: modified capture-recapture method, adjusted for clients avoiding any identification (non-coded clients) / $c B. Sopko, K. Škařupová, V. Nečas, V. Mravčík
- 520 9_
- $a AIM: Local prevalence estimates of problem drug use (PDU) are crucial in the process of assessment of drug situation and trends and for the planning of evidence-based policy responses. The aims of our study are twofold: to estimate the number of problem drug users (PDUs) in the Czech capital city in 2011, and to examine the usability of the capture-recapture method (CRM) modified for data from low-threshold programmes (LTPs) for drug users. METHOD: Six independent LTPs provided data for analysis (SANANIM, Drop-in and Progressive, each of these providing one drop-in centre and one outreach programme). After adjustment of the standard CRM formula for cases without an individual identifier, the overlaps between programmes were calculated and the size of hidden population was estimated. RESULTS: In total, it was estimated that there were 10,754 PDUs in Prague in 2011. The current estimate is in line with estimates obtained previously using another indirect standard approach - the multiplier method. CONCLUSION: The modified version of CRM thus proved a reliable method for local PDU estimates.
- 650 _2
- $a uživatelé drog $x statistika a číselné údaje $7 D055030
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 12
- $a statistické modely $7 D015233
- 650 _2
- $a surveillance populace $7 D011159
- 650 _2
- $a prevalence $7 D015995
- 650 _2
- $a poruchy spojené s užíváním psychoaktivních látek $x epidemiologie $7 D019966
- 651 _2
- $a Česká republika $x epidemiologie $7 D018153
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a Research Support, N.I.H., Extramural $7 D052061
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Škařupová, Kateřina $u Institute for Research on Children, Youth and the Family, Faculty of Social Studies, Masaryk University, Brno, Czech Republic $7 mzk2006337118
- 700 1_
- $a Nečas, Vlastimil, $u National Monitoring Centre for Drugs and Drug Addiction, Prague, Czech Republic; National Institute of Mental Health, Prague, Czech Republic $d 1980- $7 jo2009330723
- 700 1_
- $a Mravčík, Viktor $u National Monitoring Centre for Drugs and Drug Addiction, Prague, Czech Republic; Department of Addictology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic; National Institute of Mental Health, Prague, Czech Republic $7 xx0018423
- 773 0_
- $w MED00001083 $t Central European journal of public health $x 1210-7778 $g Roč. 24, č. 1 (2016), s. 39-44
- 856 41
- $u http://apps.szu.cz/svi/cejph/ $y domovská stránka časopisu
- 910 __
- $a ABA008 $b B 1829 $c 562 $y 4 $z 0
- 990 __
- $a 20160721 $b ABA008
- 991 __
- $a 20200803130049 $b ABA008
- 999 __
- $a ok $b bmc $g 1156621 $s 944218
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2016 $b 24 $c 1 $d 39-44 $i 1210-7778 $m Central European Journal of Public Health $n Cent. Eur. J. Public Health $x MED00001083
- LZP __
- $b NLK118 $a Pubmed-20160721