ArticleAIDS and behavior2014
A new approach to measuring partnership concurrency and its association with HIV risk in couples.
Article in AIDS and behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Developing HIV risk prediction tools in four African settings.Tropical medicine & international health : TM & IH · 2023Article
- Sexual Concurrency and Contraceptive Use Among Young Adult Women.Demography · 2019Article
- The role of sexual networks in studies of how BV and STIs increase the risk of subsequent reinfection.Epidemiology and infection · 2018Article
- Measuring sexual behaviour in Malawi: a triangulation of three data collection instruments.BMC public health · 2018Article
- Article
- Self-reported sex partner dates for use in measuring concurrent sexual partnerships: correspondence between two assessment methods.Archives of sexual behavior · 2015Article
- Concurrent partnerships in Cape Town, South Africa: race and sex differences in prevalence and duration of overlap.Journal of the International AIDS Society · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Empirical estimates of the association between concurrent partnerships (CP) and HIV risk are affected by non-sampling errors in survey data on CPs, e.g., because respondents misreport the extent of their CPs. We propose a new approach to measuring CPs in couples, which permits assessing how respondent errors affect estimates of the association between CPs and HIV risk. Each couple member is asked (1) to report whether s/he has engaged in CPs and (2) to assess whether his/her partner has engaged in CPs, since their couple started. Cross-tabulating these data yields multiple classifications (with varying combinations of sensitivity/specificity) of the CPs of each couple member. We then measure the association between CPs and HIV outcomes according to each classification. The resulting range of estimates is an indicator of the uncertainty associated with respondent errors. We tested this approach using data on 520 matched couples drawn from the Likoma Network Study. Results suggest that existing tests of the concurrency hypothesis are affected by significant uncertainty.
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Registered trials
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