European Network to Develop Policy Relevant Models and Socio-Economic Analyses of Drug Use, Consequences and Interventions Final report: Part 3 – Prevalence of drug use at the local level

Summary

The work group was formed to consolidate EMCDDA-funded and other methodological research into estimating the prevalence of drug use at the local level and also to provide advice and scientific support to researchers wishing to apply the methods in their area. New prevalence estimates have been obtained in areas where research has not previously been carried out and updated estimates have been obtained in existing areas. Advice and scientific support was given to researchers wishing to use the capture-recapture method in Copenhagen, Luxembourg and Matosinhos (Portugal). A new prevalence estimation project was initiated in Scotland (UK) where the capture-recapture method was used to provide an estimate for each of the 32 local government areas.

This report is one of the outputs of a project funded by the European Commission, DG Research, Targeted Socio- Economic Resarch (TSER). Project no: ERB 4141 PL 980030, Contract no: SOE2-CT98- 3075 (Starting date: 1st December 1998 Duration: 36 months). 

Links to all seven parts of the report are available below:

Part 1: Overview

Part 2 National Level Prevalence Estimation 

Part 3 Local Level Prevalence Estimation

Part 4 Modelling Time trends and Incidence

Part 5 Modelling Geographic Spread withGeographic Information Systems (GIS) 

Part 6 Modelling Costs and Cost-effectiveness of Interventions

Part 7 Modelling Drug Markets and Policy options

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Abstract

This abstract is provided here as a convenience only. Check the publisher's website (if available) for the definitive version.

The work group was formed to consolidate EMCDDA-funded and other methodological research into estimating the prevalence of drug use at the local level and also to provide advice and scientific support to researchers wishing to apply the methods in their area. New prevalence estimates have been obtained in areas where research has not previously been carried out and updated estimates have been obtained in existing areas. Advice and scientific support was given to researchers wishing to use the capture-recapture method in Copenhagen, Luxembourg and Matosinhos (Portugal). A new prevalence estimation project was initiated in Scotland (UK) where the capture-recapture method was used to provide an estimate for each of the 32 local government areas.

The results of the prevalence studies have been useful for policy makers and those planning the provision of services. For example, the results of the Scottish research have influence the government’s Drug Action Plan including the allocation of funding to local areas of the country. Future prevalence studies will benefit from the experience gained over the course of the project, scientific papers and other reports and from the development of computer routines to assist in analyses.

Members of the group are experienced in applying the methods in their geographical areas and have therefore addressed many of the relevant issues within their research. The work group was therefore a vehicle to exchange ideas about prevalence estimation, particularly the methodological aspects of this type of research, and was a resource available for those interested in undertaking prevalence research in other areas within Europe. Links were made between this workgroup and the National Prevalence workgroup, particularly with respect to analyses in Austria, Finland and Ireland where researchers carrying out local prevalence research were also undertaking research at the national level.

Two main methods have been considered; the capture-recapture method and truncated Poisson. The capture-recapture method employs data on drug users identified from two or more sources, such as hospital admissions, methadone registers, police, prison or treatment agency data. Although prevalence estimates can be obtained using two samples, there are certain assumptions that may be violated leading to biased estimates therefore it is preferable to employ three or more samples. The method examines the overlap between sources and uses log-linear regression modelling techniques to provide an estimate of the hidden population, i.e. those not identified from the available sources. The truncated Poisson method employs data from one source and examines the number of times each individual appears within the source. As the number of times a person appears once, twice, three times etc can be assumed to follow a statistical distribution such as the Poisson distribution, the number of people who appear zero times can be estimated. 95% confidence intervals can be found using either method.

In Amsterdam, the Netherlands, the differing case definitions of contributing sources was examined, particularly with respect to the effect on the estimates. Figure 1 shows how the samples used in a typical capture-recapture analysis relate to the estimate populations. Similar issues were faced within research in Dublin, Ireland. Each source which contributes to a capture-recapture analysis will employ a different case definition of what constitutes the population of interest. This is particularly 

relevant when considering a definition such as problem drug use. Those who are in contact when hospitals or who have had medical emergencies can perhaps be seen as more problematic than those who are only in contact with low-threshold agencies or have only been identified from police sources. If the capture-recapture analysis is restricted only to high-threshold sources such as hospitals, then the resultant estimates may refer only to a subset of more problematic drug users, rather then quantifying a broader spectrum of drug use in the city.

Methodological advances were also made in Helsinki, Finland where the capture- recapture analysis was undertaken within a Bayesian framework. Thus prior information on the likely size of the drug using population in the city, derived from previous prevalence estimation research, was employed with data from 3 sources to provide new estimates. Using prior information can help in model selection and can make comparisons between estimates in different years more valid. Bayesian estimates can, however, be harder to interpret therefore the application of this method has currently been limited to Helsinki. This methodological development has been worthwhile, and it will be of use in other areas where sufficient data and prior information is available.

In Austria by the use of simulation methods to examine the effect that some of the assumptions inherent in the capture-recapture methodology, such as equal probability of detection in each source, would have on estimates. The use of the truncated Poisson method was compared and contrasted with the capture-recapture method in the Netherlands and in Scotland.

In summary, the workgroup has served two main functions; further contributing to the development of the methodologies and their application in estimating the prevalence of drug misuse and also providing scientific support to new prevalence estimation projects across Europe.

Additional information

This report (Part 3 – Local Prevalence) was prepared by: Gordon Hay (Work Group coordinator)

Work Group members National Prevalence Estimation:
Gordon Hay, Marcel Buster, Yoon Choi, Catherine Comiskey, Antonia Domingo-Salvany, Päivi Partanen, Filip Smit, Alfred Uhl,

Full Network Details:

Project Partners (project and work group coordinators):
Lucas Wiessing, EMCDDA (project coordinator), Gordon Hay, Univ. Glasgow, Carla Rossi, Lucilla Ravà, Univ. Rome ‘Tor Vergata’, Martin Frischer, Heath Heatlie, Univ. Keele, Hans Jager, Wien Limburg, RIVM, Christine Godfrey, Univ. York, Chloé Carpentier, Monika Blum, Kajsa Mickelsson, Richard Hartnoll, EMCDDA

The important input of all network participants and invited experts is fully acknowledged. For a list of network participants per working group and email contacts see Final Report Part 1, Annex A.

Other Network Participants and Invited Experts:
Erik van Ameijden, Fernando Antoñanzas, Rita Augustin, Ana Maria Bargagli, Massimiliano Bultrini, Maria Fe Caces, Maria Grazia Calvani, John Carnavale, Gloria Crispino O’Connell, Ken Field, Gerald Foster, Maria Gannon, David Goldberg, Peter Hanisch, Toon van der Heijden, Simon Heisterkamp, Matthew Hickman, Neil Hunt, Claude Jeanrenaud, Pierre Kopp, Petra Kümmler, Mirjam Kretzschmar, Marita van de Laar, Nacer Lalam, Fabio Mariani, Linda Nicholls, Alojz Nociar, Deborah Olzewski, Alessandra Nardi, Laetitia Paoli, Päivi Partanen, Paulo Penna, Harold Pollack, Maarten Postma, Thierry Poynard, Jorge Ribeiro, Francis Sartor, Janusz Sieroslawski, Ronald Simeone, Juan Tecco, Alberto Teixeira, Jaap Toet, Gernot Tragler, Giovanni Trovato, Julián Vicente, Katalin Veress, Denise Walckiers, Robert Welte, Ardine de Wit, John Wong, Tomas Zabransky, Terry Zobeck, Brigitta Zuiderma-van Gerwen.

Project funded by the European Commission, DG Research, Targeted Socio-Economic Resarch (TSER). Project no: ERB 4141 PL 980030, Contract no: SOE2-CT98-3075 Starting date: 1st December 1998
Duration: 36 months

Date of issue of this report: 31st January 2002

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