Imperial College London
Alternate

Jeff Imai-Eaton

Faculty of Medicine, School of Public Health

Senior Research Fellow
 
 
 
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Contact

 

jeffrey.eaton

 
 
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Location

 

UG7Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Rentsch:2018:10.1080/16549716.2018.1553470,
author = {Rentsch, C and Reniers, G and Machemba, R and Slaymaker, E and Marston, M and Wringe, A and Eaton, J and Gourlay, A and Rice, B and Kabadula, C and Urassa, M and Todd, J and Zaba, B},
doi = {10.1080/16549716.2018.1553470},
journal = {Global Health Action},
title = {Non-disclosure of HIV testing history in population-based surveys: implications for estimating a UNAIDS 90-90-90 target},
url = {http://dx.doi.org/10.1080/16549716.2018.1553470},
volume = {11},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background: HIV/AIDS programmes and organisations around the world use routinely updated estimates of the UNAIDS 90-90-90 targets to track progress and prioritise further programme implementation. Any bias in these estimates has the potential to mislead organisations on where gaps exist in HIV testing and treatment programmes.Objective: To measure the extent of undisclosed HIV testing history and its impact on estimating the proportion of people living with HIV (PLHIV) who know their HIV status (the ‘first 90’ of the UNAIDS 90-90-90 targets).Methods: We conducted a retrospective cohort study using population-based HIV serological surveillance conducted between 2010 and 2016 and linked, directly observed HIV testing records in Kisesa, Tanzania. Generalised estimating equations logistic regression models were used to detect associations with non-disclosure of HIV testing history adjusting for demographic, behavioural, and clinical characteristics. We compared estimates of the ‘first 90’ using self-reported survey data only and augmented estimates using information from linked records to quantify the absolute and relative impact of undisclosed HIV testing history.Results: Numbers of participants in each of the survey rounds ranged from 7171 to 7981 with an average HIV prevalence of 6.9%. Up to 33% of those who tested HIV-positive and 34% of those who tested HIV-negative did not disclose their HIV testing history. The proportion of PLHIV who reported knowing their status increased from 34% in 2010 to 65% in 2016. Augmented estimates including information from directly observed testing history resulted in an absolute impact of 6.7 percentage points and relative impact of 12.4%.Conclusions: In this population, self-reported testing history in population-based HIV serological surveys under-estimated the percentage of HIV positives that are diagnosed by a relative factor of 12%. Research should be employed in other surveillance systems that benefit f
AU  - Rentsch,C
AU  - Reniers,G
AU  - Machemba,R
AU  - Slaymaker,E
AU  - Marston,M
AU  - Wringe,A
AU  - Eaton,J
AU  - Gourlay,A
AU  - Rice,B
AU  - Kabadula,C
AU  - Urassa,M
AU  - Todd,J
AU  - Zaba,B
DO  - 10.1080/16549716.2018.1553470
PY  - 2018///
SN  - 1654-9880
TI  - Non-disclosure of HIV testing history in population-based surveys: implications for estimating a UNAIDS 90-90-90 target
T2  - Global Health Action
UR  - http://dx.doi.org/10.1080/16549716.2018.1553470
UR  - http://hdl.handle.net/10044/1/66487
VL  - 11
ER  -
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