Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 May 1;34(6):931-941.
doi: 10.1097/QAD.0000000000002513.

Assessing the validity of and factors that influence accurate self-reporting of HIV status after testing: a population-based study

Affiliations

Assessing the validity of and factors that influence accurate self-reporting of HIV status after testing: a population-based study

Steady J D Chasimpha et al. AIDS. .

Erratum in

Abstract

Objectives: To assess the validity of self-reported HIV status, and investigate factors that influence accurate reporting of HIV-positive status, in a population tested and informed of their HIV test result.

Design: Prospective cohort study.

Methods: We compared self-reported HIV status with biomarker-confirmed HIV test status among participants of Karonga Health and Demographic Surveillance Site in rural northern Malawi. We linked information on HIV test results to subsequent self-reported HIV status, and calculated sensitivity, specificity, positive predictive value and negative predictive value for self-reported HIV status (considered as a diagnostic test). We used Poisson regression with robust variance estimators to examine predictors of accurate self-reporting of HIV-positive status.

Results: Among 17 445 adults who tested for HIV, were recorded as having received their HIV test results, and had a subsequent self-reported HIV status between 2007 and 2018: positive predictive value of self-reported HIV status was 98.0% (95% confidence interval: 97.3-98.7); negative predictive value was 98.3 (98.1-98.5); sensitivity was 86.1% (84.5-87.7); and specificity was 99.8% (99.7-99.9). Among true HIV-positive people, those who were younger, interviewed in community settings, and had tested for HIV longer ago were more likely to misreport their HIV-positive status.

Conclusion: In this setting, self-report provides good estimates of test-detected HIV prevalence, suggesting that it can be used when HIV test results are not available. Despite frequent HIV testing, younger people and those interviewed in community settings were less likely to accurately report their HIV-positive status. More research on barriers to self-reporting of HIV status is needed in these subgroups.

PubMed Disclaimer

Conflict of interest statement

All studies contributing the data for current analysis were funded by the Wellcome Trust (Grant ref # 098610/Z/12/Z). S.C. is a Commonwealth scholar funded by the UK government.

Where authors are identified as personnel of the International Agency for Research on Cancer/WHO, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer/WHO.

Figures

Fig. 1
Fig. 1
HIV prevalence and self-reported HIV status according to whether participants received their HIV test results.
Fig. 2
Fig. 2
Sensitivity and specificity of self-reported HIV by time since most recent HIV test, stratified by sex (a and b), and type of setting (c and d) and calendar year of self-report (e and f).

References

    1. Jonston LG, Sabin ML, Prybylski D, Sabin K, McFarland W, Baral S, et al. The importance of assessing self-reported HIV status in behavioural studies. In. Bulletin of the World Health Organization 2016: World Health Organization. Bull World Health Organ 2016; 94:605–612. - PMC - PubMed
    1. Bignami-Van Assche S, Chao LW, Anglewicz P, Chilongozi D, Bula A. The validity of self-reported likelihood of HIV infection among the general population in rural Malawi. Sex Transm Infect 2007; 83:35–40. - PMC - PubMed
    1. Fagbamigbe AF, Akinyemi JO, Adedokun BO, Bamgboye EA. Gender variation in self-reported likelihood of HIV infection in comparison with HIV test results in rural and urban Nigeria. AIDS Res Ther 2011; 8:44. - PMC - PubMed
    1. Rohr JK, Xavier Gomez-Olive F, Rosenberg M, Manne-Goehler J, Geldsetzer P, Wagner RG, et al. Performance of self-reported HIV status in determining true HIV status among older adults in rural South Africa: a validation study. J Int AIDS Soc 2017; 20:21691. - PMC - PubMed
    1. Fishel Joy D, Barrère B, Kishor S. Validity of data on self-reported HIV status in Malawi and Uganda and implications for measurement of arv coverage. DHS methodological reports. Rockville (MD): ICF International; 2014.

Publication types