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Francois Venter
Wits Reproductive Health and
HIV Institute
HIV Self-Testing in the
context of South Africa
May 2017
Disclosures…
• Part of optimisation collaborations – grants to
improve testing, new drug regimens, linkage
to care
• Thanks: Mohammed Majam and team, WHO,
Unitaid, BMGF, PEPFAR, DoH, SAHCS
• On the face of it, the SA programme is doing
well!
Six-week and final mother-to-child
transmission rates, by country, 2015
Source: UNAIDS 2016 estimates
Six-week
transmission rate
Final
transmission rate
Mother-to-child transmission rate (%)
Angola
Chad
Ghana
Côte d’Ivoire
Cameroon
Lesotho
Malawi
United Republic of Tanzania
Zimbabwe
Burundi
Mozambique
Zambia
Namibia
Swaziland
Uganda
Botswana
South Africa
Democratic Republic of the Congo
Kenya
TB…
Thanks: Braamie Variava
~4 YEAR LAG BETWEEN SCALE UP OF ART
AND DECLINE IN MTB INCIDENCE
Figure 1: Incidence of microbiologically-confirmed pulmonary tuberculosis (per 100,000 population)
and antiretroviral treatment coverage rates in HIV-infected individuals nationally in South Africa
nationally and provincially from 2004 to 2012
The solid black line represents the estimated trend in PTB incidence per 100,000 population over the study period and the dotted black line the
corresponding 95% confidence interval. The overlaid dotted grey line is the ART coverage per 1000 HIV positive individuals based on data from the
ASSA 2008 model.
Nanoo A, Izu A, Ismail, NA, Ihekweazu C, Abubakar I, Mametja D, Madhi SAM. 2015. Nationwide and regional decline in incidence of microbiologically-confirmed pulmonary
tuberculosis in South Africa: a time series analysis from 2004 to 2012. The Lancet Infectious Diseases, In press
But!!!!
Movement is slow!
Self testing has been
sooooo slow!!!
HIV and South Africa
South Africa: Why is it important?
(and why is it different)?
• Size of the country – 51 million people (2011),
5th largest in Africa
• Wealth – highest GDP in Africa, best
infrastructure
• Size of HIV and TB problem
SA snapshot
• 3.4 million 1st line ($110/year)
• Bill 2014/2015: $350 million
• Sept 2016: Test and treat – theoretically
doubling numbers
Source: 2016 Global AIDS Response Progress Reporting; UNAIDS 2016 estimates.
Country status
Progress toward the 90–90–90 targets, all ages, by country, 2015
For countries
not shown, both
measures are
not available or
under review.
Knowledge of status
among people living
with HIV (%)
Coverage of
antiretroviral therapy
among people living
with HIV (%)
Viral suppression
among people living
with HIV (%)
Eastern and southern Africa
Angola
Botswana
Eritrea
Kenya
Lesotho
Madagascar
Malawi
Mozambique
Namibia
Rwanda
South Africa
South Sudan
Swaziland
Uganda
United Republic of Tanzania
Zambia
Zimbabwe
Middle East and North Africa
Algeria
Djibouti
Egypt
Iran (Islamic Republic of)
Lebanon
Morocco
Somalia
Legend
90% and higher
45–89%
44% or lower
Measures not available
L
81% or higher
41–80%
40% or lower
Measures not available
L
73% and higher
37–72%
36% or lower
Measures not available
Mauritius
Tunisia
Yemen
Sudan
Incidence still remains stubbornly high…
And does not correlate well with ART…
Source: Leigh Johnson, Spotlight, 2016
Several things happened in 2017….
• 90-90-90 success stories (Botswana, Havlir,
Sweden)
• But failure to link to care in some RCTs –
Swaziland, KZN
• And no impact on new incidence (KZN)
Some ideas why: missing men?
• First and second 90: probably there for women;
not men – and that’s a huge problem
RHIVA collaboration with MiET Africa and DoE with
funding from the Royal Netherlands Embassy
Age Group
HIV Prevalence (Oct/Nov 2010)
% (95% Confidence Interval)
Male Female
14 1.0 (0.0 – 3.0) 2.2 (0.3 – 4.0)
15-16 1.4 (0.4 – 2.4) 3.6 (2.2 – 5.0)
17-18 1.2 (0.2 – 2.2) 7.9 (5.0 - 11.0)
19-20 1.1 (0.0 – 2.7) 16.0 (9.2 – 22.0)
CAPRISA: HIV prevalence in school boys and girls
in a rural South African district (grades 9 and 10)
Or is it something else?
Testing in SA
• May 2017: “32% and 42% of women and men
respectively indicated that they have never
been tested for HIV”
2016 South African Demographic and Health Survey
• Men under-tested
• Youth under-testing
• And people testing too late! May explain why
impact on new infections limited
• Key populations probably under-tested
Then came self testing….
• Magic bullet?
History of self-testing in SA…
• Long history of pregnancy tests; more recently, PSA, malaria,
STDs, recreational drugs
• Pharmacy Council: pharmacists can’t sell HIV self tests
• HIV self tests sold ‘under the counter’
• 2007: Pick and Pay, SAMA ‘’ unethical”
• 2007 onwards: advocacy on ST – WHO leading policy
environment, increasing local engagement
• 2013 onwards: products evaluated locally – some eye-opening
results
• SAHCS 2016: guidelines process
So slow….
• Ethics – everyone is the first to have thought
of problems
• Regulatory – international, local (and SAPHRA)
• Manufacturers – small, unclear on process
• Retailers – not following process
• Policy – international, local (private and
public) vs Pharmacy Council vs SAMA
• Donor interest
Now we are in a place to think about how
ST can augment the HIV response….
HIV Self-Testing in the context of South Africa
HIV Self-Testing in the context of South Africa

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HIV Self-Testing in the context of South Africa

  • 1. Francois Venter Wits Reproductive Health and HIV Institute HIV Self-Testing in the context of South Africa May 2017
  • 2. Disclosures… • Part of optimisation collaborations – grants to improve testing, new drug regimens, linkage to care • Thanks: Mohammed Majam and team, WHO, Unitaid, BMGF, PEPFAR, DoH, SAHCS
  • 3. • On the face of it, the SA programme is doing well!
  • 4.
  • 5. Six-week and final mother-to-child transmission rates, by country, 2015 Source: UNAIDS 2016 estimates Six-week transmission rate Final transmission rate Mother-to-child transmission rate (%) Angola Chad Ghana Côte d’Ivoire Cameroon Lesotho Malawi United Republic of Tanzania Zimbabwe Burundi Mozambique Zambia Namibia Swaziland Uganda Botswana South Africa Democratic Republic of the Congo Kenya
  • 6.
  • 8.
  • 9. ~4 YEAR LAG BETWEEN SCALE UP OF ART AND DECLINE IN MTB INCIDENCE Figure 1: Incidence of microbiologically-confirmed pulmonary tuberculosis (per 100,000 population) and antiretroviral treatment coverage rates in HIV-infected individuals nationally in South Africa nationally and provincially from 2004 to 2012 The solid black line represents the estimated trend in PTB incidence per 100,000 population over the study period and the dotted black line the corresponding 95% confidence interval. The overlaid dotted grey line is the ART coverage per 1000 HIV positive individuals based on data from the ASSA 2008 model. Nanoo A, Izu A, Ismail, NA, Ihekweazu C, Abubakar I, Mametja D, Madhi SAM. 2015. Nationwide and regional decline in incidence of microbiologically-confirmed pulmonary tuberculosis in South Africa: a time series analysis from 2004 to 2012. The Lancet Infectious Diseases, In press
  • 11. Movement is slow! Self testing has been sooooo slow!!!
  • 12. HIV and South Africa
  • 13. South Africa: Why is it important? (and why is it different)? • Size of the country – 51 million people (2011), 5th largest in Africa • Wealth – highest GDP in Africa, best infrastructure • Size of HIV and TB problem
  • 14. SA snapshot • 3.4 million 1st line ($110/year) • Bill 2014/2015: $350 million • Sept 2016: Test and treat – theoretically doubling numbers
  • 15. Source: 2016 Global AIDS Response Progress Reporting; UNAIDS 2016 estimates. Country status Progress toward the 90–90–90 targets, all ages, by country, 2015 For countries not shown, both measures are not available or under review. Knowledge of status among people living with HIV (%) Coverage of antiretroviral therapy among people living with HIV (%) Viral suppression among people living with HIV (%) Eastern and southern Africa Angola Botswana Eritrea Kenya Lesotho Madagascar Malawi Mozambique Namibia Rwanda South Africa South Sudan Swaziland Uganda United Republic of Tanzania Zambia Zimbabwe Middle East and North Africa Algeria Djibouti Egypt Iran (Islamic Republic of) Lebanon Morocco Somalia Legend 90% and higher 45–89% 44% or lower Measures not available L 81% or higher 41–80% 40% or lower Measures not available L 73% and higher 37–72% 36% or lower Measures not available Mauritius Tunisia Yemen Sudan
  • 16. Incidence still remains stubbornly high…
  • 17. And does not correlate well with ART… Source: Leigh Johnson, Spotlight, 2016
  • 18. Several things happened in 2017…. • 90-90-90 success stories (Botswana, Havlir, Sweden) • But failure to link to care in some RCTs – Swaziland, KZN • And no impact on new incidence (KZN)
  • 19. Some ideas why: missing men? • First and second 90: probably there for women; not men – and that’s a huge problem
  • 20. RHIVA collaboration with MiET Africa and DoE with funding from the Royal Netherlands Embassy Age Group HIV Prevalence (Oct/Nov 2010) % (95% Confidence Interval) Male Female 14 1.0 (0.0 – 3.0) 2.2 (0.3 – 4.0) 15-16 1.4 (0.4 – 2.4) 3.6 (2.2 – 5.0) 17-18 1.2 (0.2 – 2.2) 7.9 (5.0 - 11.0) 19-20 1.1 (0.0 – 2.7) 16.0 (9.2 – 22.0) CAPRISA: HIV prevalence in school boys and girls in a rural South African district (grades 9 and 10)
  • 21. Or is it something else?
  • 22. Testing in SA • May 2017: “32% and 42% of women and men respectively indicated that they have never been tested for HIV” 2016 South African Demographic and Health Survey
  • 23. • Men under-tested • Youth under-testing • And people testing too late! May explain why impact on new infections limited • Key populations probably under-tested
  • 24. Then came self testing…. • Magic bullet?
  • 25. History of self-testing in SA… • Long history of pregnancy tests; more recently, PSA, malaria, STDs, recreational drugs • Pharmacy Council: pharmacists can’t sell HIV self tests • HIV self tests sold ‘under the counter’ • 2007: Pick and Pay, SAMA ‘’ unethical” • 2007 onwards: advocacy on ST – WHO leading policy environment, increasing local engagement • 2013 onwards: products evaluated locally – some eye-opening results • SAHCS 2016: guidelines process
  • 26. So slow…. • Ethics – everyone is the first to have thought of problems • Regulatory – international, local (and SAPHRA) • Manufacturers – small, unclear on process • Retailers – not following process • Policy – international, local (private and public) vs Pharmacy Council vs SAMA • Donor interest
  • 27. Now we are in a place to think about how ST can augment the HIV response….