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 .