why high-quality population size estimates of key populations are important
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Strictly Confidential © 2014Strictly Confidential © 2014
WHY HIGH-QUALITY POPULATION SIZEESTIMATES OF KEY POPULATIONS AREIMPORTANT
David WilsonHNP - GP World Bank
Strictly Confidential © 2014
‘We Have Run Out Of Money; Now We Have to Think’
W.S. Churchill
Joint Program Competencies as Pillars of Strategic Planning
• Multisectoral approach
• NSP3G guidance• Allocative efficiency
studies
• Service delivery solutions
• Program efficiency • Impact evaluation
• Multisectoral approach
• Evidence for strategic planning
• Epidemic appraisal
• Fiscal space analysis• Sustainable financing
research• Investment cases
Sustain Understand
DesignDeliver
What Does Success Look Like?India Joint Program Example
Understandthe epidemic
Design:Implementation
efficiency Deliver:Effectiveness
Sustain:Sustainability
Understand:Allocative Efficiency
70% of transmission sex work in 4 states
Strictly Confidential © 2014Strictly Confidential © 2014
UNDERSTAND
Strictly Confidential © 2014
Prevalence of Injecting Drug Use
Strictly Confidential © 2014
Prevalence of HIV among PWID
What we knowInaction is costly, and not the equivalent of nothing happening; It is hard to reverse epidemic once established
Whereas harm reduction is - Effective - in terms of HIV cases averted - Cost-effective - in terms of healthy years
gained and costs - Social benefits exceed treatment costs- And benefits the whole population
What is the global coverage of harm reduction services?
Source: Authors’ literature review and estimates, using Mathers et al. 2010
Few PWID access all three priority interventions
Female PWID far lower access than males
An estimated 10% access NSP
About 14% of HIV+ PWID
access ART
An estimated 8% access OST
How much is spent on harm reduction?
Sources: Stimson et al 2010 (three cents report), UNAIDS 2009; UNAIDS Progress report 2012; Global State of Harm Reduction, 2012; Bridge et al 2012
Estimated $160 million in LMIC in 2007 (3 cents per PWID per day): 90% from international donors
Global Fund largest HR funder (estimated $430 million 2002-2009) > 50% to Eastern Europe and Central Asia
How much is needed to scale up priority harm reduction interventions?
NSP coverage
(%)
Needles / PWID /year
OST uptake
(%)
ART uptake of HIV+ PWID
(%)Current estimated level 10 22 8 14Scenarios: Mid target 20 100 20 25 High target 60 200 40 75
Very preliminary resource estimates based on regional estimates of current NSP /OST /ART coverage, population sizes and unit costs
Mid and high target scenarios costed
Summary: Estimated annual cost of scale-up of NSP, OST and ART for PWIDs
Mid target20% NSP coverage20% OST coverage25% ART coverage
High target60% NSP coverage40% OST coverage75% ART coverage
South, East & South East Asia 527M 1,49B
Latin America & Caribbean 625M 1,47B
Middle East & North Africa 26M 55M
W- Europe, N- America & Australasia 17M 1,19B
Eastern Europe & Central Asia 1.04B 2,51B
Sub-Saharan Africa 414M 901M
Total per year 2,65B 7,62B
1: Mathers et al, Lancet (2010) 2: Scale-up calculations by UNSW
Annual scale-up costs by region and intervention
Costs dominated by Eastern Europe and Central Asia
E-Europe & C-Asia 38%
SSA16% S, E & SE
Asia20%
LA & Caribbean
24%
W-Europe, N-America & Australasia
1%M-East & N-
Africa1%
1: Mathers et al, Lancet (2010) 2: Scale-up calculations by UNSW
Cost-effectiveness and relative return on investment ranges by region
() number of studies in literature
Western Europe, North America & Australasia
CE1:ROI2:
$402-$34,278 (9)$1.1-$5.5 (3)
Sub-Saharan Africa
Eastern Europe & Central Asia
The Middle East & North Africa South, East & South East Asia
Latin America & The Caribbean
CE1:ROI2:
$97-$564 (3)$1.4 (1)
CE1: $1,456-$2,952 (1) CE1:ROI2:
$71-$2,800 (7)$1.2-$8.0 (4)
1: Cost per HIV infection averted 2: Total future return per $1 invested (3% discount rate)
Harm Reduction Data Challenges
• Limited population size estimates• Inconsistent service quality data• Surveys miss hidden populations• ATS increasingly used and injected but
missed in surveys• Significant but undocumented scale-down of
services
Sources: UNGASS country progress reports 2012; Mathers et al., 2010; Global State of Harm Reduction, 2012
Why we need reliable estimates of the size of populations at high risk
Policy- Advocacy- Response planning and resource allocation- Estimates number of infected with HIV and
projections of the burden diseaseProgramming- Intervention planning- Measurement of coverage- M & E interventions
Adjust for SW mobility with mathematical model to reduce double-counting of SW frequenting multiple spots
Regression modelling to generate province-wide SW population size estimates from the towns mapped, with lower and upper bounds and
Define Population Size and Program TargetsPopulation Size Estimation with Modeling to Improve Estimates
Know Your Epidemic: Epidemic, Response and Policy Syntheses
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