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Evidence based use of Stats SA data for implementation of HIV&AIDS Program Ms Y.Tsibolane FS DoH, HIV and AIDS Program Date: 10 -11 October 2013
Evidence based use of Stats SA data for implementation of
HIV&AIDS Program
Ms Y.TsibolaneFS DoH, HIV and AIDS Program
Date: 10 -11 October 2013
Layout• Introduction• Background• Prevalence of HIV per district• HIV&AIDS Population distribution• Adult & Children treatment need and coverage • PMTCT, & Mortality rates• Impact of HIV/AIDS• Conclusion
Introduction• 81% of eligible people aged 15+ living with HIV have accessed
lifesaving HIV treatment in FS
• Free State province, continues to achieve dramatic results in the
AIDS response – lives saved and new infections averted.
• The number of children newly infected declined from 4 110 in 2004
to 540 in 2012 .
• The FS HIV/AIDS Spectrum Model results, showed an increase in
prevalence( 15-49) from 18.80% in 2004, to 19.57% in 2012.
• Infection levels are highly variable between districts & by gender.
Free State Province
Geographic background
Free State is the 2nd smallest province, neighbouring Lesotho and 6 of 8 provinces in South Africa. • Population:
o It is estimated at 2.9 million, DHIS 2013/14 Midyear estimates.
o 2,745,590: Census 2011• It is comprised of five districts (viz. Xhariep,
Mangaung Metro, Lejweleputswa, Thabo Mofutsanyane and Fezile Dabi).
• All the districts are crowded by squatter camps,
Census 2011 Municipal report, Free State, Report 03-01-52
Background
Demographics
Figure 1: Distribution of the population by age and sex, Free State – 1996, 2001 and 2011
Census 2011 Municipal report, Free State, Report 03-01-52
HIV prevalence among antenatal women
Results of the Antenatal survey prevalence FS province, 2011
Source: The 2011 National Antenatal Sentinel HIV& Syphillis
Distribution of HIV Population 2004-2013
Source: The Spectrum Model FS results, 2012Source: The Spectrum Model FS results and DHIS
New HIV infections FS province, 2004-2012
Source: The Spectrum Model FS results and DHIS
ART Need vs. Coverage(15+) Free State province, 2004-2012
Source: The Spectrum Model FS results and DHIS
ART Backlog Free State province, 2004-2012
Source: The Spectrum Model FS results and DHIS
Distribution of total vs. HIV population in Children Free State province, 2004-2012
Source: The Spectrum Model FS results and DHIS
New HIV infections in Children(0-14) , 2004-2012
Source: The Spectrum Model FS results and DHIS
ART in Children(0-14) Free State province, 2004-2012
Source: The Spectrum Model FS results and DHIS
PMTCT Coverage Free State province, 2004-2012
Source: The Spectrum Model FS results and DHIS
MTCT rate vs. PMTCT coverage Free State province, 2004-2012
Source: The Spectrum Model FS results and DHIS
Treatment Coverage for HIV+ pregnant women Free State province, 2004-2012
Source: The Spectrum Model FS results and DHIS
HIV new infections vs. deaths in Children(0-14) Free State province, 2004-2012
Source: The Spectrum Model FS results, 2012
The Impact on the Health Sector
Source: The Spectrum Model FS results and DHIS
The Impact on the Health Sector
Source: The Spectrum Model FS results and DHIS
The Impact on the Health Sector
Source: 2012/13 DHIS
2009 2010 2011 20120
10
20
30
40
50
60
70
80
90
100
30.7
46.2
91.3
76.185
Distribution of TB-HIV Clients on ART Free State province, 2009-2012
ART coverage on TB-HIV ClientsTargetLinear (Target)Linear (Target)
Period in years
Cove
rage
in %
Conclusion
• Tackling the crisis of HIV and AIDS in Africa is a long-term task that
requires sustained effort and planning
• Prevention of new HIV infections is key element
• Prevention, treatment, care and support strategies are needed to
meet MDG goals , provincial and national strategic plan targets .
• Mobilizing unprecedented resources for delivering effective HIV
programs
Thank you .
