cost and impacts of expanding male circumcision services in eastern and southern africa
DESCRIPTION
Cost and Impacts of expanding male circumcision services in Eastern and Southern Africa. Emmanuel Njeuhmeli 1 , Jason Reed 2 , Lori Bollinger 3 , Steven Forsythe 3 , Delivette Castor 1 , John Stover 3 , Timothy Farley 4 , and Catherine Hankins 5 - PowerPoint PPT PresentationTRANSCRIPT
The U.S. President’sEmergency Plan for
AIDS Relief
Title
Cost and Impacts of expanding male circumcision services
in Eastern and Southern AfricaEmmanuel Njeuhmeli1, Jason Reed2, Lori Bollinger3, Steven Forsythe3,
Delivette Castor1, John Stover3, Timothy Farley4, and Catherine Hankins5
1. USAID Washington 2. CDC Atlanta 3. Future Institutes 4. WHO Geneva 5. UNAIDS Geneva
XVIII International AIDS Conference Vienna July 2010
Background
• Randomized controlled trials have shown consistently that male circumcision (MC) is 60% effective in reducing HIV incidence
• Current WHO/UNAIDS guidelines recommend MC for HIV prevention in generalized epidemic settings where HIV prevalence is high and MC prevalence is low
• Cost and population level impact has not been determined for successful implementation of MC in these settings
Objectives
• Estimate the cost of implementing MC in 14 countries in Eastern and Southern Africa
• Determine the impact of increased MC coverage on HIV incidence
• Evaluate the cost effectiveness of MC for HIV prevention
Methodology – DMPPT
• Mathematical modeling developed by USAID Health Policy Initiative | UNAIDS - Decision Makers Program Planning tool – DMPPT– Calculates the cost of MC services – Estimates the impact on the epidemic – Conduct sensitivity analysis for key inputs
• HIV and MC Prevalence– From most recent DHS and other Surveys
• Model Input parameters: – Age – newborn, adolescent / adult– Risk group – STD clinic attendees, seronegative men in discordant partnerships– Service delivery model – fixed, outreach, mobile – Provider – physician, clinical officer, nurse– Ancillary services – HIV testing and counseling, program promoting gender sensitivity– Potential risk compensation – increase number of sexual partner, decreased condom
use– Scale up rate – Coverage goals
Methods - Assumptions
• Desk review - using readily available data – no individual item cost data collection was done
• Main scenario – Implementation coverage of 80% MC prevalence within 5 years
for both adults and neonates
• Alternate scenarios– Implementation coverage
• 50% and 100 % within 5 years – Implementation pace
• 80% coverage within 1 year vs 10 years vs 20 years– Adult only vs Neonate only
Number of MC needed
29.1 M men to be circumcised across all 14 countries
Adult Vs Neonate MC
20092010
20112012
20132014
20152016
20172018
20192020
20212022
20232024
20252026
20272028
20292030
0.0
2,000,000.0
4,000,000.0
6,000,000.0
8,000,000.0
10,000,000.0
12,000,000.0
14,000,000.0
Existing Neonatal Adults (15-49)
Incremental Additional Cost
US$1 B is needed across all 14 countries for the 5 years catch up period
Discounted Cost Savings and Cumulative Discounted Cost Savings
20092010
20112012
20132014
20152016
20172018
20192020
20212022
20232024
20250
5,000,000,000
10,000,000,000
15,000,000,000
20,000,000,000
25,000,000,000
Discounted net cost savings and cumulative net cost savings for 14 countries
Net Cost Savings
Cumulative Net Cost Savings
Number and Percent of Infections Averted
Botswana
Ethiopia (G
ambela)
Kenya (N
yanza
)
Lesotho
Malawi
Mozambique
Namibia
Rwanda
South Afri
ca
Swazila
nd
Tanzan
ia
Uganda
Zambia
Zimbabwe
Overall
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
23%
17% 18%
36%
28%
13%
22%
28%
19%
33%
9%
25%28%
42%
22%
Cumulative number and percentage of HIV infections averted between 2009-2025 by scaling up male circumcision
Num
ber o
f HIV
infe
ction
s ave
rted
Percent of Infections averted by MC
New HIV Infection Averted in Men, Women and general population (Cumulative 2009 to 2025)
Botswana
Gambela
Lesotho
Malawi
Mozambique
Namibia
Nyanza
Rwanda
South Afri
ca
Swazila
nd
Tanzan
ia
Uganda
Zambia
Zimbabwe
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
45.0%
50.0%
12.1% 11.7%
29.3%
20.4%
9.6%
13.8%
4.7%
20.9%
14.1%
26.5%
6.4%
18.3%21.1%
36.5%
Women Gen Pop Men
Implementation Pace - Infection Averted (%)
Botswana
Gambela
Lesotho
Malawi
Mozambique
Namibia
Nyanza
Rwanda
South Afri
ca
Swazila
nd
Tanzan
ia
Uganda
Zambia
Zimbabwe
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
Coverage within 1 year Coverage within 10 years Coverage within 20 years
Implementation coverage within 5 years - infection averted (%)
Botswana
Gambela
Lesotho
Malawi
Mozambique
Namibia
Nyanza
Rwanda
South Afri
ca
Swazila
nd
Tanzan
ia
Uganda
Zambia
Zimbabwe
-10.0%
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
50% coverage 80% coverage 100% coverage
Number of MC per Infection Averted and Cost per Infection Averted
Limitations
• Inadequate understanding of MC program cost:– Facility based data collection
• Direct costs (Personnel, Drugs and supplies, Equipment, Transport / Vehicles)• Indirect Costs (Personnel, Overhead - building, land, utilities)
– Monitoring of program expenditures: • Demand creation, • Community mobilization, • Training, • Management
• Issues related to data– Self reported MC from DHS
• Mis-report of MC (e.g. Lesotho, Malawi)• Simplifying assumptions made
– Lack of age-specific sexual mixing matrix – Use of HIV prevalence to fit the epidemic model rather than HIV incidence
Conclusions
• Scaling up MC to reach 80% coverage within 5 years can potentially avert up to 4 Million or 20% new HIV infections in ESA and will cost US$1B
• Spending US$1B to achieve this impact will also save US$20.3B
• The greatest cost effectiveness can be achieve with a two pronged implementation approach combining accelerated saturation for adult and adolescents and sustain program for neonate
• The impact is directly proportional to the implementation pace and scale
Acknowledgements
• The DMPPT was designed by John Stover and Lori Bollinger under USAID Health Policy Initiative
• Catherine Hankins has lead the validation and adoption of the DMPPT by UNAIDS
• Emmanuel Njeuhmeli designed the desk review study • The DMPPT was populated by Lori Bollinger• The data was reviewed by Catherine Hankins, Timothy Farley, John Stover,
Steve Forsythe, Jason Reed, Delivette Castor, and Emmanuel Njeuhmeli• The initial 15 issues brief that was published by USAID HPI was written by Lori
Bollinger and review by all including the PEPFAR country team • This paper was written by Emmanuel Njeuhmeli, Jason Reed, Delivette Castor
and Lori Bollinger and review by all authors• All this was possible with PEPFAR (Through USAID Health Policy Initiative) and
UNAIDS funding (Through TSF)• The current costing exercise is a joint USAID HPI and UNAIDS activity