Literature DB >> 18304262

Antenatal clinic HIV data found to underestimate actual prevalence declines: evidence from Zambia.

Charles Michelo1, Ingvild Sandøy, Knut Fylkesnes.   

Abstract

OBJECTIVE: To determine to what extent antenatal clinic (ANC)-based estimates reflect HIV prevalence trends among men and women in a high prevalence urban population.
METHODS: Examination of data from serial population-based HIV surveys in 1995 (n = 2115), 1999 (n = 1962) and 2003 (n = 2692), and ANC-based surveillance in 1994 (n = 450), 1998 (n = 810) and 2002 (n = 786) in the same site in Lusaka, Zambia. The population-based surveys recorded refusal rates between 6% and 10% during the three rounds.
RESULTS: Among ANC attendees, prevalence declined by 20% (25.0% to 19.9%; P = 0.101) in the age group 15-24 years and was stable overall. In the general population, the prevalence declined by 49% (P < 0.001) and by 32% (P < 0.001) in age group 15-24 and 15-49, respectively. Among women only, HIV prevalence declined by 44% (22.5% to 12.5%; P < 0.001) and by 27% (29.6% to 21.7%; P < 0.001) in age group 15-24 and 15-49 years, respectively. In addition, prevalence substantially declined in higher educated women aged 15-24 years (20.7% to 8.5%, P < 0.001).
CONCLUSION: ANC-based estimates substantially underestimated declines in HIV prevalence in the general population. This seemed to be partially explained by a combination of marked differentials in prevalence change by educational attainment and changes in fertility-related behaviours among young women. These results have important implications for the interpretation of ANC-based HIV estimates and underscore the importance of population-based surveys.

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Year:  2008        PMID: 18304262     DOI: 10.1111/j.1365-3156.2007.01987.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  9 in total

1.  Heterogeneous and decreasing HIV prevalence among women seeking antenatal care in Kinshasa, Democratic Republic of Congo.

Authors:  Frieda Behets; Andrew Edmonds; François Kitenge; François Crabbé; Marie Laga
Journal:  Int J Epidemiol       Date:  2010-05-07       Impact factor: 7.196

2.  A decline in new HIV infections in South Africa: estimating HIV incidence from three national HIV surveys in 2002, 2005 and 2008.

Authors:  Thomas M Rehle; Timothy B Hallett; Olive Shisana; Victoria Pillay-van Wyk; Khangelani Zuma; Henri Carrara; Sean Jooste
Journal:  PLoS One       Date:  2010-06-14       Impact factor: 3.240

3.  Monitoring trends in HIV prevalence among young people, aged 15 to 24 years, in Manicaland, Zimbabwe.

Authors:  Kimberly A Marsh; Constance A Nyamukapa; Christl A Donnelly; Jesus M Garcia-Calleja; Phillis Mushati; Geoffrey P Garnett; Edith Mpandaguta; Nicholas C Grassly; Simon Gregson
Journal:  J Int AIDS Soc       Date:  2011-05-24       Impact factor: 5.396

4.  Decline in HIV prevalence among young women in Zambia: national-level estimates of trends mask geographical and socio-demographic differences.

Authors:  Nkomba Kayeyi; Knut Fylkesnes; Charles Michelo; Mpundu Makasa; Ingvild Sandøy
Journal:  PLoS One       Date:  2012-04-04       Impact factor: 3.240

5.  Lost opportunities in HIV prevention: programmes miss places where exposures are highest.

Authors:  Ingvild F Sandøy; Seter Siziya; Knut Fylkesnes
Journal:  BMC Public Health       Date:  2008-01-24       Impact factor: 3.295

6.  Monitoring HIV Epidemic in Pregnant Women: Are the Current Measures Enough?

Authors:  Purva Sarkate; Supriya Paranjpe; Nayana Ingole; Preeti Mehta
Journal:  J Sex Transm Dis       Date:  2015-01-19

Review 7.  Estimating the HIV incidence rate: recent and future developments.

Authors:  Timothy B Hallett
Journal:  Curr Opin HIV AIDS       Date:  2011-03       Impact factor: 4.283

8.  Trends in HIV prevalence among young people in generalised epidemics: implications for monitoring the HIV epidemic.

Authors:  Mary Mahy; Jesus Maria Garcia-Calleja; Kimberly Anne Marsh
Journal:  Sex Transm Infect       Date:  2012-12       Impact factor: 3.519

9.  Association between fertility and HIV status: what implications for HIV estimates?

Authors:  Eugene J Kongnyuy; Charles S Wiysonge
Journal:  BMC Public Health       Date:  2008-09-11       Impact factor: 3.295

  9 in total

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