Interpreting HIV Seroprevalence Data from Pregnant Women

Boisson, Eldonna; Nicoll, A; Żaba, Basia; Rodrigues, Laura C.

doi:10.1097/00042560-199612150-00006

Cited by 33 publications

(21 citation statements)

References 17 publications

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“…The sentinel group of pregnant women in Brazil was selected to estimate prevalence of HIV infection because, despite limitations suggested by some authors [17,18], it is the population group that best represents infection rates among all women of reproductive age [9,10].…”

Section: Discussionmentioning

confidence: 99%

HIV testing during pregnancy: use of secondary data to estimate 2006 test coverage and prevalence in Brazil

Cl¹,

A²,

Pr³

et al. 2008

Braz J Infect Dis

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This paper describes a methodological proposal based on secondary data and the main results of the HIV-Sentinel Study among childbearing women, carried out in Brazil during 2006. A probabilistic sample of childbearing women was selected in two stages. In the first stage, 150 health establishments were selected, stratified by municipality size (<50,000; 50,000-399,999; 400,000+). In the second stage, 100-120 women were selected systematically. Data collection was based on HIV-test results registered in pre-natal cards and in hospital records. The analysis focused on coverage of HIV-testing during pregnancy and HIV prevalence rate. Logistic regression models were used to test inequalities in HIV-testing coverage during pregnancy by macro-region of residence, municipality size, race, educational level and age group. The study included 16,158 women. Results were consistent with previous studies based on primary data collection. Among the women receiving pre-natal care with HIV-test results registered in their pre-natal cards, HIV prevalence was 0.41%. Coverage of HIV-testing during pregnancy was 62.3% in the country as a whole, but ranged from 40.6% in the Northeast to 85.8% in the South. Significant differences according to race, educational level and municipality size were also found. The proposed methodology is low-cost, easy to apply, and permits identification of problems in routine service provision, in addition to monitoring compliance with Ministry of Health recommendations for pre-natal care.

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Section: Discussionmentioning

confidence: 99%

HIV testing during pregnancy: use of secondary data to estimate 2006 test coverage and prevalence in Brazil

Cl¹,

A²,

Pr³

et al. 2008

Braz J Infect Dis

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“…The high proportion of infected women who are African is apparent and justifies policies to improve HIV services for the black African community 3 4 5 6 7 8 9 10 11 12 13. A diminishing proportion of maternal infections attributable to injecting drugs is consistent with other indications of low rates of HIV transmission though this route 13 14 15 16 17 18 19 20. However, it is less clear how infections in other women have contributed to the rise from 1988 onwards.…”

Section: Discussionmentioning

confidence: 64%

“…The continued raised prevalence of HIV-1 infection among mothers in London is disturbing, especially because HIV positive women who are aware of their infection are more likely to seek a termination, and surveillance using neonatal dried blood spots will thus tend to underestimate the absolute burden of HIV infection among women 18 19. The high proportion of infected women who are African is apparent and justifies policies to improve HIV services for the black African community 3 4 5 6 7 8 9 10 11 12 13.…”

Section: Discussionmentioning

confidence: 99%

Epidemiology and detection of HIV-1 among pregnant women in the United Kingdom: results from national surveillance 1988-96

Nicoll¹,

McGarrigle²,

Brady³

et al. 1998

BMJ

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“…Grassly and colleagues report that HIV estimates obtained from using sentinel data either underestimate or overestimate the pandemic, although no reasons for this discrepancy are given. Other scholars have questioned the representativeness of these estimates to the general population given that not all pregnant women attend such clinics nor do the estimates include men (Boisson et al 1996;Montana et al 2005).…”

Section: Resultsmentioning

confidence: 99%

Analyzing Geographical Access to HIV Sentinel Clinics in Relation to Other Health Clinics in Zambia

Moise

Kalipeni

Zulu

2011

Journal of Map & Geography Libraries

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This paper illustrates that in countries such as Zambia where available sentinel clinic data lack patient use information while including location and clinic type, advanced geospatial modeling can be a good proxy for measuring access to health care facilities including HIV sentinel clinics. The analysis shows mapped patterns of potential accessibility to HIV sentinel clinics versus all other clinics, while taking into consideration the spatial distribution of the country's population. The results indicate that Zambia has developed a relatively impressive set of health facilities-so much so that 98% of the population is within 50 km of a health facility, a reasonable distance for a day's bike ride, and nearly three in four are within 20 km. However, when it comes to HIV sentinel or surveillance clinics, this target is far from being realized, with only 52% percent of the population being within 50 km of a sentinel clinic.

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Interpreting HIV Seroprevalence Data from Pregnant Women

Cited by 33 publications

References 17 publications

HIV testing during pregnancy: use of secondary data to estimate 2006 test coverage and prevalence in Brazil

HIV testing during pregnancy: use of secondary data to estimate 2006 test coverage and prevalence in Brazil

Epidemiology and detection of HIV-1 among pregnant women in the United Kingdom: results from national surveillance 1988-96

Analyzing Geographical Access to HIV Sentinel Clinics in Relation to Other Health Clinics in Zambia

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