Nevertheless, the data would seem to provide a compelling case to at least consider behavioural interventions, especially “B” interventions that reduce the number of concurrent sexual partnerships.
“Abstinence, fidelity, partner reduction, condom use are the tools to break apart these networks,” said Stanton.
Stanton believes that condom-based prevention efforts have their place — particularly where epidemics are still primarily localised in certain risk groups, such as sex workers and the men who visit them. He highlighted the example of south India, where a study has documented a reduction in HIV prevalence among women aged 15-24, which researchers have concluded is due to rising condom use by men and female sex workers India, and reduced transmission to wives (Kumar 2006).
“The expansion of condom use and education amongst sex workers remains a priority to control HIV-1 in India,” said Stanton. “But what works well in one epidemic does not necessarily work well in another, and I think condoms are the best example of that.” He presented data from Botswana that show an uptake in the use of condoms and rising condom sales and yet “the prevalence levels seem to be going nowhere.”
He attributes the failure of condom prevention efforts in this setting to the fact that it is very difficult to get people in long-term relationships to use them. In Botswana, there has been little change in the uptake of condoms by married women, and similar observations have been made in other countries. “When you get to married couples, it is difficult to get condoms in there,” he said. “Condoms have a hard time crossing the marriage and the relationship barrier.”
He also presented other data showing that if condom use is not consistent, it is much less effective. “Do we need to abandon condoms? Of course, not. But we need to differentiate between individual level interventions and those interventions that are likely to achieve population level impact,” Stanton added.
It might actually be easier to get people to reduce the number of their partners — once they know the risks for HIV that these sexual networks pose to themselves and their loved ones. Stanton believes that data from Uganda, Kenya and Zimbabwe, which have all shown reductions in the number of partners associated with reductions in prevalence, provide evidence that this approach works.
However, the changes in prevalence that are now being reported in some African countries must be interpreted cautiously, particularly in Zimbabwe where high rates of mortality and emigration could explain most of the reductions in prevalence (see related article). It is also important to note that HIV incidence peaked in most of sub-Saharan Africa years ago in the 1990’s, usually before any significant prevention campaigns were introduced, and changes in these behavioural indicators were recorded long after the actual declines in incidence (UNAIDS 2005).
In the recent Lancet editorial, Shelton, Halperin, and Wilson asked: “What caused these incidence declines? Most important surely are purely epidemiological phenomena—those most susceptible become infected first (because of sexual behaviour and networks) and the susceptible pool shrinks. Moreover, at some point the chain reaction derived from the infectiousness of newly-infected people subsides.”
Eventually, the rising mortality rate of people infected with HIV will surpass the stable incidence rate, and the prevalence will begin to level off, and — in countries without adequate access to antiretroviral therapy — decline. At this point, it will be all too easy for proponents of either side of the condom-centred versus A & B-only prevention debate to take the credit. But the true test for any prevention intervention will be whether it reduces incidence of new infections, or at least the prevalence in key age groups (for example, people aged 15-24 as in the Indian study).
Stanton presented some intriguing data along this line that had been presented earlier at the meeting by Dr. Vinod Mishra. Dr. Mishra’s study had found strong associations between having multiple partners and the risk of HIV transmission in a number of sub-Saharan African countries. In one analysis of people in long term relationships in Cameroon, statistically significant associations between HIV prevalence and fidelity were observed. Couples who had only one lifetime partner have a very low HIV prevalence, while people with multiple sex partners had a much higher HIV prevalence. However, couples who reported that they had been faithful to their partner in the last 12 months, also had a lower HIV prevalence than those with multiple sex partners. According to Stanton, this finding demonstrates the protective effect of becoming faithful to one partner.