1. Global Toolkit on Treatment Demand Data State of Progress Michael Donmall (Co-ordinator Joint Project) N ational D rug E vidence C entre

2. TDI – EMCDDA-Pompidou Group Protocol –European harmonisation –Potential for wider application GAP – improve global information on drug consumption –Governments committed to measurable results demand reduction by 2008 –Need reliable & systematic data at global level –Assist governments in compiling comparable data –Collect, summarise, analyse & report data to Commission Narcotic Drugs –INRA UNODC/ EMCDDA 2003 – joint initiative established –Define workable & practical toolkit –Harmonisation - comparative international work N ational D rug E vidence C entre Background

3. Definitional issues –Treatment, cases, episodes, core data set Technical matters –Quality control, double counting, data capture Development –Need and purpose Implementation –in context of local, national & international needs Analysis & dissemination Clarity Importance of being a collaborative exercise N ational D rug E vidence C entre Common issues that need structured guidance over wide area

4. Opportunity to discuss & share experiences of practicalities of implementing Treatment Information Systems Explore basic rationale behind collection of such information Role and utility Strengths and limitations –As epidemiological tool –In performance management Define in broad terms the requirements of a global toolkit N ational D rug E vidence C entre Global Workshop on Treatment Demand Indicators, Vienna 2003

5. Project Team: Michael DonmallNational Drug Evidence Centre, Manchester, UK Linda Montanari EMCDDA, Portugal Stefano Berterame UNODC. Austria Meeting Participants: Stefano Berterame UNODC, Austria Luis CarisCICAD, Chile Michael DonmallNational Drug Evidence Centre, UK Leigh HendersonSAMHSA, USA Douglas Ken-GarfieldCAREC, Republic of Trinidad and Tobago Peter LawrinsonNational Drug and Alcohol Research Centre, Australia Riku LehtovuoriUNODC, Austria Jean LongPompidou Group. Ireland Linda Montanari EMCDDA, Portugal Visweswaran NavaratnamNational Centre for Drug Research, Malaysia Kamran NiazUNODC, Turkey Isidore S. Obot WHO, Switzerland Charles ParrySENDU, South Africa Luis Royuela MoralesPlan Nacional sobre Drogas, Spain Brian RushCentre for Addiction and Mental Health, Canada Bela StudnikovaDrug Epidemiology Headquarters, Czech Republic Fayzel SullimanDr Idrice Goomany Centre Mauritius Juana Tomas-RosselloUNODC, Austria Matthew Warner-SmithUNODC, Egypt N ational D rug E vidence C entre

6. EMCDDA Project CT.03.ENL.209 FINAL REPORT & PROPOSED OUTLINE GLOBAL TOOLKIT FOR THE MEASUREMENT OF DRUG TREATMENT DEMAND BACKGROUND MATERIAL FOR THE DEVELOPMENT OF A TOOLKIT ON DATA COLLECTION REGARDING DRUG TREATMENT DEMAND IN THE EUROPEAN MEMBER STATES AND IN THE ACCEDING AND CANDIDATE COUNTRIES INCLUDING MEETING REPORT OF THE GLOBAL WORKSHOP ON TREATMENT DEMAND INDICATORS VIENNA INTERNATIONAL CENTRE, DECEMBER 2003

7. N ational D rug E vidence C entre Proposed Toolkit Structure 1 Introduction 1.1Aims 1.2Readership 1.3Main Features & Roadmap 2 Overview: reasons for collecting drug treatment data 2.1Why a system of treatment data collection is useful For epidemiological and/or performance management As an indirect indicator of trends in problem drug use For identifying patterns of drug use As a basis for other methodologies (eg incidence) For policy and advocacy To identify patterns of use of services For plans and service evaluation Other purposes 2.2Limitations

8. N ational D rug E vidence C entre Proposed Toolkit Structure 3Building your foundation 3.1Scoping – comparison between systems 3.2Information, Needs and Resources Assessment (INRA) 3.3Organisational Issues Gaining political support Identifying stakeholders Location Funding 3.4Inventory of services & describe treatment system 4 Data to be collected 4.1Guiding principles 4.2 The core item list 4.3 Core Definitions Case definition Treatment, treatment demand, type, episode Item definitions and valid codes 4.4Core information requirement at a global level 4.5Case Studies

9. N ational D rug E vidence C entre Proposed Toolkit Structure 5 Implementing a Treatment Demand Indicator System 5.1Planning and development People/ network issues Procedures Technical Issues Ethical Issues Planning use of data 5.2Data collection Establishing process Data checking, validation & ongoing audit 5.3Data quality & Coverage 5.5Case Studies 6 Analysing and Reporting on the Results 6.1Data Analysis & Interpretation 6.2Reporting 6.3 Case Studies

10. N ational D rug E vidence C entre Proposed Toolkit Structure 7 Maintenance & Evaluation 7.1Maintenance 7.2Evaluation Glossary Bibliography Appendix ASample Materials Data collection sheets Reports Validation rules BFrequently Asked Questions (FAQs) CLinks to relevant Web Addresses DKey Toolkit Markers (PowerPoint)