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Comparative Study
. 2013 Oct 23:6:21638.
doi: 10.3402/gha.v6i0.21638.

InterVA versus Spectrum: how comparable are they in estimating AIDS mortality patterns in Nairobi's informal settlements?

Samuel Oji Oti  1 , Marilyn Wamukoya, Mary Mahy, Catherine Kyobutungi
Affiliations
Comparative Study

InterVA versus Spectrum: how comparable are they in estimating AIDS mortality patterns in Nairobi's informal settlements?

Samuel Oji Oti et al. Glob Health Action. .

Abstract

Background: The Spectrum computer package is used to generate national AIDS mortality estimates in settings where vital registration systems are lacking. Similarly, InterVA-4 (the latest version of the InterVA programme) is used to estimate cause-of-mortality data in countries where cause-specific mortality data are not available.

Objective: This study aims to compare trends in adult AIDS-related mortality estimated by Spectrum with trends from the InterVA-4 programme applied to data from a Health and Demographic Surveillance System (HDSS) in Nairobi, Kenya.

Design: A Spectrum model was generated for the city of Nairobi based on HIV prevalence data for Nairobi and national antiretroviral therapy coverage, underlying mortality, and migration assumptions. We then used data, generated through verbal autopsies, on 1,799 deaths that occurred in the HDSS area from 2003 to 2010 among adults aged 15-59. These data were then entered into InterVA-4 to estimate causes of death using probabilistic modelling. Estimates of AIDS-related mortality rates and all-cause mortality rates from Spectrum and InterVA-4 were compared and presented as annualised trends.

Results: Spectrum estimated that HIV prevalence in Nairobi was 7%, while the HDSS site measured 12% in 2010. Despite this difference, Spectrum estimated higher levels of AIDS-related mortality. Between 2003 and 2010, the proportion of AIDS-related mortality in Nairobi decreased from 63 to 40% according to Spectrum and from 25 to 16% according to InterVA. The net AIDS-related mortality in Spectrum was closer to the combined mortality rates when AIDS and tuberculosis (TB) deaths were included for InterVA-4.

Conclusion: Overall trends in AIDS-related deaths from both methods were similar, although the values were closer when TB deaths were included in InterVA. InterVA-4 might not accurately differentiate between TB and AIDS deaths.

Keywords: AIDS; InterVA; Nairobi; Spectrum; mortality.

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Figures

Fig. 1
Fig. 1
HIV prevalence ages 15–49, by sex, Nairobi, 1990–2010, Spectrum model estimates.
Fig. 2
Fig. 2
Adult age-specific mortality rates, all causes, both sexes, 2003–2010.
Fig. 3
Fig. 3
Adult age-specific mortality rates, all causes, by sex, 2003–2010.
Fig. 4
Fig. 4
Adult age-specific mortality rates, all causes, both sexes, before and after roll-out of ART.
Fig. 5
Fig. 5
Percentage of AIDS-related deaths from Spectrum and AIDS- and TB-attributed deaths from InterVA, aged 15–59, Nairobi.
Fig. 6
Fig. 6
Percentage of AIDS-related deaths from Spectrum and deaths attributed to AIDS and TB from InterVA, by year and sex, aged 15–59, Nairobi.
See this image and copyright information in PMC

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