Guest guest Posted September 26, 2008 Report Share Posted September 26, 2008 Dear friends, Greetings! Re: /message/9445 First of all, I thank Lt Col (Dr) Paranjape for bringing up this important issue for discussion. It is certain that better understanding of relationship between HIV and fertility is essential not only for estimating HIV prevalence but also for better counseling and case management of HIV positive women. Unfortunately there are hardly any studies on this issue from India. However, there are some important points I would like to raise for discussion. 1) The results of previous studies are inconsistent- The article mentioned by Dr. Paranjape is obviously not the only study that has looked at the association of HIV and fertility. However, there is still ambiguity about the causal effect of HIV infection on fertility of infected women. While most studies suggest that women with HIV infection have lower fertility [ for example Zaba & Gregson and Ross and others ] and higher incidence of adverse pregnancy outcomes than HIV negative women, a few studies reported no association of HIV infection with fertility in women and pregnancy loss or even higher rates of pregnancy among HIV positive women [for example Sedgh et al 2006]. Nonetheless, the associated reduction in fertility among HIV positive women is attributed to several factors including reduced ability of HIV positive women to conceive [ Desgrees du Lou et al 1999] 2) There are considerable methodological differences in estimating fertility- Fertility in demographic literature is referred to the actual reproduction- that is number of life births. However, in previous studies various measures of fertility have been used such as birth rate, pregnancy rate or even analysis of inter-birth interval or waiting time to conception. Though these methods might be appropriate for the given research questions, it poses limitations on comparing the findings of different studies. 3) Effect of other confounding factors- ‘Unprotected sex’ is the common determinant of HIV as well as pregnancy and it is know that the prevalence of STI is higher among HIV positive people. Therefore, it is often difficult to estimate the fertility reducing effect of HIV in presence of other sexually transmitted infections (particularly syphilis and gonorrhea) which certainly is the case in some of the African countries. There are many other factors that can affect estimation of fertility such as age at marriage, age at sterilization, total fertility rate of the region (which is considerably high in Africa and is almost close to replacement level in most of the high prevalent states in India) etc, etc. In summary, it will not be appropriate to directly extrapolate the findings of the studies done in Sub-Saharan Africa to Indian situation as there are considerable differences in the epidemiological pattern and the social, cultural and economic factors that affect the proximate determinants of fertility. There is need for good data from India before we conclude that we are underestimating HIV prevalence. Kind regards, Dr. Shirish Darak PhD researcher, University of Groningen, The Netherlands e-mail: <shirishdarak@...> Quote Link to comment Share on other sites More sharing options...
Guest guest Posted September 29, 2008 Report Share Posted September 29, 2008 Dear All, Re: /message/9445 I agree with Dr. Darak on the point that there is " need for good data from India " . The Family Health Survey III which was responsible for reducing the estimate from 5.2 Million (NACO) or 5.7 Million (UNAIDS) to 2.5 Million approx was a definite step in the right direction. However how consistent is our data gathering in India? We do not have a comprehensive mechanism in place for gathering data in India. This might be unpopular to admit to, but its true. Many PLHIV are falling through the gaps, and while there is a sizable NGO net to help overcome these gaps, it doesn't always do so. This is not because there are not enough NGOs working in the field of HIV/AIDS. There are almost 70 agencies in Pune alone that are registered with the Pune City AIDS Control Society. But there there is little or no monitoring of these efforts or even accurate reports on how many PLHIV NGOs are working with. Last year we (Deep Griha Society) received a *telephone call* from PCACS inquiring as to how many PLHIV we have on our project. In addition the focus on Targeted Interventions have blinded many to the reality that there are PLHIV who are not sex workers, IDUs, MSM, TG, truck drivers or from those other marginalised 'uneducated' communities. Targeted Interventions are crucial in the fight against HIV/AIDS in India and we cannot be successful without them. We at Deep Griha and Wake Up Pune also agree that India will not have a generalised epidemic on the proportions of Sub Saharan Africa. However, focus on ONLY TIs will only give us skewed look at India's epidemic, and the data will reflect that. PLHIV among the middle classes exist. Knowledge of HIV transmission here is generally good. Yet, the stereotypes of people living with HIV is strong. Stereotypes fuel myths about HIV, and of course fuel stigma and discrimination that are major obstacles to gathering the data we require to have a more accurate picture of India's epidemic. In our experience through Wake Up Pune the middle class (and above) PLHIV we have encountered have a fear of being alligned with their more marginalised bretheren. Coming forward for information and help is rare. Family doctors are far more discreet. None of this data is reflected. Currently we know of only a handful. So do we then assume it must be ok.? Most of the PLHIV we have encountered in urban slum contexts also prefer the discretion of their community doctor and come to us only if there is a need that cannot be met. Similarly they will only attend the Sassoon ART clinic if they need ART. How many middle class people do we see at Govt ART centres? In Pune. Hardly any. Maybe we need to know how much ART is being bought over the counter. but then again this will reflect only those who require it. The need for data is vital. Misconceptions, stereotypes, stigma and discrimination needs to be broken down if this need is to be met. Hans Billimoria Deep Griha Society e-mail: <deepgriha@...> -- www.deepgriha.org www.wakeuppune.org Quote Link to comment Share on other sites More sharing options...
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