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SAHR 2007 - Health Systems Trust

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Demographic Impact of HIV/AIDS in South Africa” report was<br />

released by the Centre for Actuarial Research, ASSA and<br />

the MRC [HIV Indicators 2006]. The ASSA2003 AIDS and<br />

Demographic model now estimates that 5.4 million South<br />

Africans are HIV-positive and 600 000 have AIDS in mid-<br />

2006. Prevalence is reaching a plateau in most provinces,<br />

albeit at different levels. The report also predicts that ART<br />

can still have a significant effect on reducing the number<br />

of AIDS deaths. Without ART the model predicts about<br />

505 000 deaths a year by 2010. With ART offered at the<br />

level assumed by the model (50% coverage), this would be<br />

reduced to about 388 000 deaths a year. If 90% of patients<br />

requiring treatment are reached, the death toll could be as<br />

low as 291 000 a year. Importantly, the report estimates that,<br />

as at the middle of 2006, 225 000 people were on ART, out<br />

of about 711 000 needing treatment at that time. The scale<br />

of the challenge is underlined by the prediction that, if 90%<br />

treatment coverage is to be maintained, there will be over 2<br />

million on ART by 2015 (Figure 10).<br />

The annual antenatal survey of HIV prevalence remains a<br />

key input into many processes. This year a major step was<br />

taken when results were disaggregated to district level for<br />

the other provinces in addition to WC. This allows for more<br />

detailed comparisons of the results from routine data collection<br />

(such as the DHIS) and various surveys. It also required<br />

major changes to the sampling process. The overall sample<br />

was doubled to 36 000. Sentinel sites were chosen using<br />

the Probability Proportional to Size (PPS) sampling method,<br />

in which a stratified proportional sample was drawn and<br />

the sample size was proportionally allocated to each facility<br />

using antenatal clinic attendance data, providing a selfweighting<br />

sample for each district. In order to be eligible, the<br />

facility had to routinely draw blood from antenatal attendees<br />

and have the ability to store the sample at 4 o C. In addition,<br />

routine DHIS data needed to show that a minimum of 20<br />

subjects would be recruited over a period of a month. Finally,<br />

the facility needed access to transport that would allow for<br />

samples to be taken to a laboratory within 24 hours if there<br />

is no centrifuge in the facility or within 72 hours if the samples<br />

could be centrifuged on site.<br />

It has been known that provincial averages mask substantial<br />

differences between districts, and the WC data [Antenatal<br />

Survey 2005 WC] show big differences even within one<br />

district, such as the high of 32.6 in Khayelitsha and a low<br />

of 5.1 in Mitchell’s Plain, within the City of Cape Town metro.<br />

Figure 11 shows the provincial results from DHIS and the<br />

annual survey, while Figure 12 displays the district results,<br />

supplemented by Map 1 and Map 2. In general the DHIS<br />

and antenatal survey data show similar trends, with the<br />

survey data on average 5.4 percentage points higher (a<br />

23% increase over DHIS values). In KZN however the survey<br />

results are on average 13% higher (a 50% increase over<br />

DHIS values), whereas the WC results are in general more<br />

closely matched. Across districts, estimates of HIV prevalence<br />

from the antenatal survey range from 5.3% in Namakwa<br />

(NC) to 46.0% in Amajuba (KZN).<br />

Figure 10: Projected numbers receiving treatment by level of coverage of national ART programme<br />

2 500 000<br />

2 000 000<br />

Numbers on ART<br />

1 500 000<br />

1 000 000<br />

500 000<br />

0<br />

2000 2001 2002 2003 2004 2005 2006 <strong>2007</strong> 2008 2009 2010 2011 2012 2013 2014 2015<br />

Year<br />

20% ART coverage 50% ART coverage 90% ART coverage<br />

Source: HIV Indicators 2006.<br />

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