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Using respondent-driven sampling to recruit PWID in eight large cities in Germany
The 2011-2014 DRUCK-Study
EMCDDA PDU Expert Meeting Lisbon, 8-9 June 2017
Stine Nielsen ([email protected])
@StineNielsenEPI
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Outline
Objectives
Background
RDS
Methods + logistics
What did we do and how did we do it
What did it cost
Some results – who did we reach?
Lessons learned and would we do it again?
Where to learn more about RDS & the DRUCK-study
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Objective of this talk
To describe the methods and practical aspects of the respondent driven sampling (RDS) study that was conducted among PWID in Germany from 2011-2014
Focusing on lessons learned for other countries who might consider using this methodology
The study was done by the Robert Koch Institute – the national institute for public health in Germany
In collaboration with several partners at national and local level such as low threshold drug services (LTS), “Deutsche AIDS-Hilfe” and more
Question: How many have heard of respondent driven sampling?
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Background
No routine monitoring system in place in Germany to monitor infections or risk/preventive behaviors among PWID
In 2011, the Robert Koch Institute initiates the pilot of the “DRUCK”-study: Drogen und chronische Infektionskrankheiten
Main objectives of the study:
Primary: Generate data on sero-prevalence of HIV, HCV and HBV as well as data on risk and preventive behaviors among people who injected drugs (PWID) in the last 12 months in order to improve (infectious disease) prevention efforts
Secondary: Collect data to inform how best to setup future monitoring incl. establishing a network of facilities and partners
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Why respondent driven sampling (RDS)
So far only convenience based sampling – recruiting drug users in OST-facilities, detoxification units, drug consumption rooms or needle-exchange programs
Mostly local, relatively small and few recent studies of infections and risk/preventive behaviors among PWID in Germany
RDS proved to be an effective method to rapidly recruit well-networked groups like PWID
>460 studies published globally – many have used it to recruit PWID
We used respondent driven sampling (RDS) as a recruitment strategy to try and reach those not in regular contact with existing services
A more representative sample of drug users
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Respondent driven sampling (RDS)
Introduced in 1997 by Heckathorn et al as a modified snowball method to recruit hard-to-reach populations
Popular method to recruit PWID due to their strong social networks RDS has worked well as a recruitment method in most studies
Begin with a set of ‘seeds’ (initial participants)
Seeds recruit peers, who recruit peers, etc.
Recruits are linked by coupons with unique identifying numbers
Incentives provided for completed survey and for each successful recruit
10€ participatio, up to 3x5 € for participants recruited
For weighted analysis:
Serial numbers (respondent + recruiter)
Personal network size
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RDS theory: State of equilibrium
= the stabilization of the sample composition after a sufficient number of “waves” (recruitment rounds) - hereafter, even if more people are recruited the characteristic proportions remain stable – defined as when sample distribution (age, sex, infection status) changed <2% from one wave to the next
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Selecting seeds (initial recruits)
Seeds (initial recruits) selected in collaboration with local study partners (low threshold drug services, LTS)
Characteristics: Gender, country of birth, residential area, preferred LTS, preferred substance, self-reported HIV status, sex work and imprisonment experience. + expected willingness to participate and recruit others
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Defining the population of PWID
Ever injecting
Recent injecting
In OST
The DRUCK-study focus on people injecting in the last 12 months regardless of contact to services (OST, NEP, DCR etc.) Inclusion criteria: Aged 16y+ & injecting in the study city in the last 12 months
Methods
Zimmermann et al, BMC Public Health 2014
Study sites: • Mapping • geographic diversity • 8 cities • Calculated sample size: 2,033
• Target: 200-350 participants per city
• Low treshold drug services
• Drug consumption rooms • Needle-exchange • Drop-in / Cafe • Youth center • OST • Homeless shelter 1-4 per city
Data collected
Capillary dried blood spots (DBS) anti HIV
anti HCV + HCV-RNA
anti HBs, anti HBc, HBV-DNA + (HBsAg)
Questionnaire-assisted interviews
trained interviewers sociodemographics, used substances, unsafe use, sex,
imprisonment, knowledge, health status, testing history
Based on EMCDDA/UN indicators
30-45 min. interview
anonymised
Minor modifications after pilots
Ross et al, Virology Journal 2013
Interventional parts of the study
HIV-rapid testing offered to participants
- in supplement to DBS testing
Targeted counselling in low-threshold drug services
- Short and targeted counselling for knowledge gaps during interview
- Training of counsellors
HIV/ Hepatitis C – test results
• Provided after 2 weeks during study opening hours
• Posttest-counselling by trained MD
DRUCK-Studie des Robert Koch-Instituts
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Study flow-chart for participation
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Close collaboration w local partners
Pre-meeting with multiple stakeholders in each city – early phase of planning
Low threshold drug service – sometime several partners
Local health service – linkage to care
Police, politicians, addiction services
Study team recruitment and contracts with local partners
2-day training in each city
Post-data collection: Evaluation meeting (gathering lessons learned)
Report with local data and dissemination meeting
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2-day training of the study teams in each city
Key members of the local study team:
Local study coordinator
Overview of the study flow, obtain informed consent, manage adverse events
Coupon manager
Screen for inclusion criteria, prevent multiple enrollment, provide unique id to each participant, document recruitment, explain recruitment process to participants, pay incentives
Interviewers – often several at a time (translation possible)
Counsellors – provide voluntary counselling for for viral hepatitis and HIV
Lab person – collecting dried blood spots and performing rapid HIV tests
Doctor on call – post-test counselling & venous blood if reactive rapid test
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Time line of the study
2011: RKI funded pilot study – 2 first cities (Berlin + Essen)
Ministry of Health funding: 1 April 2012 to 31 March 2015 (3 years)
First 6 months:
Ethical approval + “Kick-off” meeting: selecting study cities + finding collaboration partners
20 months (Oct 2012-May 2014): data collection in 6 cities
10 months (June 2014 – March 2015):
Data cleaning + validation
Analysis
Report to participating cities
Dissemination meeting w multiple stakeholders
Final report to Ministry of Health
Published 1 Feb 2016 (275 pages)
Preparing international peer-reviewed publications
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DRUCK-teams at RKI
Epi team
Lab team
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Funding of the DRUCK-study
2011 (2 pilot cities and lots of preparation) = RKI funding
3 years of funding from Ministry of Health (BMG) – 2012-2015
≈ 400,000€ for RKI staff
≈ 120,000€ for the local partners (6 cities)
≈ 160,000€ for lab costs (staff & tests), incentives, meetings, trainings
Total: ≈ 680,000€ for the last 3 years
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Results
9 – 31% 18 – 35% 2 – 27%
Women Not born in Germany
Younger than 25 years
Ever in prison Ever homeless
53 – 77% 73 – 86%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100% N=2.077 Age (Median): 29-41 years
Sociodemographic characteristics Range of each of the eight study cities
14.12.2016 20 Fachaustausch zur DRUCK-Studie
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Characteristics of participants Range in the 8 study cities (N=2077)
76-88% injected in the last 30 days
17-39% injected daily
Median years of injecting: 10-18 years
31-66% were currently in opioid substitution therapy (OST)
79-91% visited a low threshold drug service in the last 30 days
77-95% saw a doctor in the last year
HIV: 0-9.1%
HCV AB+: 42-75% - chronic infection (AB+, RNA+): 23-54%
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Reasons for participating
Multiple answers possible (N=2,050) 64% the money 57% the study is important and interesting 27% the chance to get tested 19% to increase my knowledge 14% the rapid HIV test (not asked in Berlin)
12% my friends/acquaintances are participating 6% I had time and nothing better to do
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Details of recruitment
Berlin N=337
Essen N=197
Leipzig N=130
Frankfurt N=285
Cologne N=322
Hanover N=252
Munich N=235
Hamburg N=319
Recruit-ment period
05-07 2011
10-12 2011
10-12 2012
01-03 2013
04-05 2013
07-09 2013
10-12 2013
03-05 2014
Study sites
4 1 2 2 1 1 1 1
Max waves
13 10 8 20 13 14 14 20
Coupon received from:
partner - - 7% 5% 2% 4% 3% 2%
acquaintance
- - 78% 64% 84% 50% 67% 65%
stranger - - 15% 31% 14% 46% 30% 33%
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Network pictures with infection status
Munich, N=235 Hamburg, N=319
Total “seeds”: 13 9 Unproductive “seeds”: 3 0 Max recruitment waves: 14 20
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Lessons learned & challenges
Importance of good local partners, collaboration with multiple stakeholders, time for training of all study staff
Most PWID reached were in contact with the low threshold services – future plan to establish a routine monitoring system based in these settings – similar to the UAM from the UK.
Challenges:
Estimating the size of the network = difficult Range: 0-1400 individuals
Phrasing and importance of this question
In all cities, we observed a decreased interest in participation in the days following the monthly “social benefit”-payment
Multiple study locations and differing opening hours complicated
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Want to know more about the DRUCK-study?
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Lots of materials about respondent driven sampling
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RDS and population size estimates
Lisa Johnston et al 2013: Incorporating the service multiplier method in respondent- driven sampling surveys to estimate the size of hidden and hard-to-reach populations: case studies from around the world. Sex Transm Dis 2013, 40(4):304–310.
Two different multiplier methods:
“Service multiplier method”
“unique object multiplier”
handed out to target group from facilities NOT used as study sites – e.g. drug treatment clinics, pharmacies, out-reach work prior to data collection
Saying: “It’s possible that you will be asked in the coming weeks to take part in a study. And if so, you will be asked if you received a cigarette lighter like this one”
A record is made of the number of objects handed out (by sex and age-group)
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Points for discussion
A key finding was the heterogeneity between the 8 cities – e.g. in terms of age, migration profile, substances used etc.
We are still working on the best way to deal with the “city-effect” in our interpretation of the data (Input on this very welcome!)
How to assess if the PWID we recruited in this study are representative of all PWID in Germany?
Key points:
Try it! RDS can be a way to recruit people who use drugs – generates important data! E.g. Proportion (%) in contact with services.
Big logistical effort – but very worth it
Excellent for generating a baseline
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Next steps planned in Germany
Establishing a routine monitoring of infections and risk/preventive behaviours among people who use drugs using a network of facilities
perhaps similar to the “Unlinked Anonymous Monitoring (UAM)” from the UK and other places
Planned analysis: Analyse if those not in regular contact with services are different (risk behaviours, substances used, infections etc) than PWID regularly attending low threshold drug services
Thank you! Matthias An der Heiden, Norbert Bannert, Rieke Barbek, Claus-Thomas Bock, Johannes Bombeck,
Birkenstube Berlin, Wei Cai, Deutsche AIDS-Hilfe, Serdar Danis, Kerstin Dettmer, Fixpunkt e.V., Maria Friedrich, Martyna Gassowski, Gesundheitsamt Essen, Osamah Hamouda, Joana Haußig, Claudia Kücherer, Astrid Leicht, Uli Marcus, Bärbel Marrziniak, Sami Marzougui, Stine Nielsen, Doreen Nitschke, NRZ Hepatitis C, Doris Radun, Stefan Ross, Claudia Santos-Hövener, Dirk Schäffer, Suchthilfe Essen, Judith Stumm, Andrea Teti, Benjamin Wenz, Weidong Zhang
cooperating partners in drug services all study participants German MoH (financing partner)
Contact: [email protected]