Download presentation
Presentation is loading. Please wait.
Published byNora Bruce Modified over 9 years ago
1
HIV status among discordant couples in sub-Saharan Africa: A meta-analysis involving more than 13,000 discordant couples Oghenowede Eyawo, 1 Damien de Walque, 2 Nathan Ford, 3 Gloria Gakii, 4 Richard Lester, 5 Edward Mills 6 1)Faculty of Health Sciences, Simon Fraser University, Vancouver, Canada; 2) Development Research Group, The World Bank, Washington DC, USA; 3) Centre for Infectious Disease Epidemiology and Research, University of Cape Town, South Africa; 4)Pumwani Sex-worker Cohort, University of Nairobi, Nairobi, Kenya; 5)Department of Microbiology, Faculty of Medicine, University of Nairobi, Nairobi, Kenya; 6)Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
2
Sero-discordancy and sub-Saharan Africa The first Demographic and Health Survey (DHS) suggest: in at least two thirds of couples where at least one of the partners is HIV-positive, only one person is infected Sero-discordant couples make up a significant number (2/3) of infected couples A substantial # of infections continue to occur within individuals living in a stable relationship Persons in sero-discordant couple relationship are at particularly high risk of becoming infected
3
Social Marketing: prevention
5
Objectives The relative HIV-burden within heterosexual discordant partnerships in sub-Saharan Africa is, in fact, poorly understood. The objective of this study is to determine the gender balance of index case infections among sero-discordant couples in sub-Saharan Africa
6
Methods We undertook a systematic review of sero- discordancy in stable relationships to determine the gender balance of index case infections in the region. HIV-discordancy in a relationship: as one existing among married as well as unmarried couples that are in a stable habitual relationship.
7
Methods Extensive search: we examine published and unpublished data Secondary analysis: used supplemental data from DHS survey from 14 countries in sub- Saharan Africa
8
Methods We conducted a random effects meta-analysis and meta-regression analysis to evaluate overall proportion of HIV-index cases We examined gender gap score by country, urban vs. rural populations, HIV prevalence, mean age difference between men and women We conducted a sensitivity analysis of pooled cohort proportion to ensure there was no duplication Analysis: StatsDirect (version 2.7.6, Manchester) and STATA (version 10.0, College Station, TX)
9
Results Primary data: 25 distinct cohorts in 7 countries + 3 multi-country cohorts, totaling 12,865 couples Ave. follow-up: 27.3 months (range 9-84) Secondary data: DHS data from 14 countries totaling 1,145 couples
10
Results Pooled overall DerSimonian-Laird analysis (primary data): F+ M- couples in stable heterosexual sero-discordant relationships at 47% (95% CI: 43-52%) Demonstrates no significant difference in the # of female +ve couples compared to male +ve sero- discordant couples
11
Meta-analysis Results: primary data Forest plot showing results of the random effects meta-analysis (27 studies)
12
Meta-analysis Results: primary data Forest plot showing results of the random effects meta-analysis (27 studies)
13
Meta-analysis Results: secondary data Forest plot showing results of the random effects meta-analysis (14 studies)
14
Meta-analysis Results: secondary data Forest plot showing results of the random effects meta-analysis (14 studies)
15
Results Large variability Meta-regression primary analysis: association with effect size: Urban vs. rural residence Latitude Gender equity Older age DHS data: meta-regression Gender equity Decreased HIV prevalence
16
Important Findings A significant proportion of infected couples have women as the infected partner On average, women are as likely to be the index partner as men in a sero-discordant couple
17
Discussion These findings seem counter-intuitive to the large body of opinion demonstrating male sexual behaviours and risk taking Reflects research bias in part Relatively fewer studies examine women sexual risk taking in stable relationships
18
Necessary Emphasis It is important to emphasise that: This study is not aimed at assigning blame to either gender We hope this study will stimulate a more gender-balanced approach in the orientation of behavioural research and prevention interventions
19
Strength & Limitations We searched extensively both published and unpublished data We are aware that there are many more unpublished cohorts existing within routine programme, including cohorts in which discordant couples may not be aware of their status We supplemented our searches with DHS data
20
Conclusions Implications for Prevention Strategies This review provide a fresh basis for discussions and action points that can guide HIV/AIDS programming. Sero-discordant couples, especially uninfected partners should be a priority prevention target group In particular, programmes focusing on sero- discordant couples should be planned to equally target both men and women alike.
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.