Cited by 4HIV/AIDS Research and InterventionsHIV, Drug Use, Sexual RiskBlood donation and transfusion practices

Predictors of testing history and new HIV diagnosis among adult outpatients seeking care for symptoms of acute HIV infection in coastal Kenya: a cross-sectional analysis of intervention participants in a stepped-wedge HIV testing trial

Open access
Agutu, Clara A., Oduor, Tony H., Hassan, Amin S., Mugo, Peter M., Chege, Wairimu, de Wit, Tobias F. Rinke, Sanders, Eduard J., Graham, Susan M.·2022·BMC Public Health

Abstract

Background: HIV testing is the first step to stop transmission. We aimed to evaluate HIV testing history and new diagnoses among adult outpatients in Kenya aged 18–39 years seeking care for symptoms of acute HIV infection (AHI). Methods: The Tambua Mapema Plus study, a stepped-wedge trial, enrolled patients presenting to care at six primary care facilities with symptoms of AHI for a targeted HIV-1 nucleic acid (NA) testing intervention compared with standard provider-initiated testing using rapid antibody tests. Intervention participants underwent a questionnaire and NA testing, followed by rapid tests if NA-positive. Multinomial logistic regression was used to analyse factors associated with never testing or testing > 1 year ago (“late retesting”) relative to testing ≤ 1 year ago (“on-time testers”). Logistic regression was used to analyse factors associated with new diagnosis. All analyses were stratified by sex. Results: Of 1,500 intervention participants, 613 (40.9%) were men. Overall, 250 (40.8%) men vs. 364 (41.0%) women were late retesters, and 103 (16.8%) men vs. 50 (5.6%) women had never tested prior to enrolment. Younger age, single status, lower education level, no formal employment, childlessness, sexual activity in the past 6 weeks, and > 1 sexual partner were associated with testing history among both men and women. Intimate partner violence > 1 month ago, a regular sexual partner, and concurrency were associated with testing history among women only. New diagnoses were made in 37 (2.5%) participants (17 men and 20 women), of whom 8 (21.6%) had never tested and 16 (43.2%) were late retesters. Newly-diagnosed men were more likely to have symptoms for > 14 days, lower education level and no religious affiliation and less likely to be young, single, and childless than HIV-negative men; newly-diagnosed women were more likely to report fever than HIV-negative women. Among men, never testing was associated with fivefold increased odds (95% confidence interval 1.4–20.9) of new diagnosis relative to on-time testers in adjusted analyses. Conclusion: Most new HIV diagnoses were among participants who had never tested or tested > 1 year ago. Strengthening provider-initiated testing targeting never testers and late retesters could decrease time to diagnosis among symptomatic adults in coastal Kenya. Trial registration: ClinicalTrials.gov Identifier: NCT03508908 registered on 26/04/2018.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12889-022-12711-1

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Primary care facilities were often chosen as clusters in low-resource settings.

    “Primary care facilities were often chosen as clusters in low-resource settings (37, 52, 55, 56, 62, 70, 91, 92, 101, 108).”
  • The ability of SWD to address time-related confounding is particularly relevant where secular trends, seasonal variation, or concurrent programs may influence outcomes.

    “This feature is particularly relevant where secular trends, seasonal variation, or concurrent programs may influence outcomes (36, 37).”

    From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [37]

    The Methods > Study design passage (page not provided) says the trial used a modified stepped-wedge design, but does not discuss its ability to address time-related confounding. Searches for secular trends, seasonal variation, concurrent programs, and adjustment for time effects found no passage addressing that claim. (LLM, conf=0.74)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 27

  1. [3]Staveteig S, Croft TN, Kampa KT, Head SK. Reaching the “first 90”: Gaps in coverage of HIV testing among people living with HIV in 16 African countries. PLoS One. 2017;12(10):e0186316-e. PMC5638499 29023510
  2. [4]Sileo KM, Fielding-Miller R, Dworkin SL, Fleming PJ. What Role Do Masculine Norms Play in Men’s HIV Testing in Sub-Saharan Africa?: A Scoping Review. AIDS Behav. 2018;22(8):2468–79. PMC6459015 29777420
  3. [5]Sileo KM Fielding-Miller R Dworkin SL Fleming PJ A scoping review on the role of masculine norms in men’s engagement in the HIV care continuum in sub-Saharan Africa AIDS Care 2019 31 11 1435 1446 10.1080/09540121.2019.1595509 30909724 PMC10512737 · DOI
  4. [6]Ochieng-Ooko V Ochieng D Sidle JE Holdsworth M Wools-Kaloustian K Siika AM Influence of gender on loss to follow-up in a large HIV treatment programme in western Kenya Bull World Health Organ 2010 88 9 681 688 10.2471/BLT.09.064329 20865073 PMC2930357 · DOI
  5. [8]Quinn C Kadengye DT Johnson CC Baggaley R Dalal S Who are the missing men? Characterising men who never tested for HIV from population-based surveys in six sub-Saharan African countries J Int AIDS Soc. 2019 22 10 e25398 10.1002/jia2.25398 31631576 PMC6801221 · DOI
  6. [9]Okal J, Lango D, Matheka J, Obare F, Ngunu-Gituathi C, Mugambi M, et al. “It is always better for a man to know his HIV status” - A qualitative study exploring the context, barriers and facilitators of HIV testing among men in Nairobi, Kenya. PLoS One. 2020;15(4):e0231645-e. PMC7159816 32294124
  7. [10]Lakhe NA Diallo Mbaye K Sylla K Ndour CT HIV screening in men and women in Senegal: coverage and associated factors; analysis of the 2017 demographic and health survey BMC Infect Dis. 2019 20 1 1 10.1186/s12879-019-4717-5 31892320 PMC6938616 · DOI
  8. [11]Takarinda KC Madyira LK Mhangara M Makaza V Maphosa-Mutsaka M Rusakaniko S Factors Associated with Ever Being HIV-Tested in Zimbabwe: An Extended Analysis of the Zimbabwe Demographic and Health Survey (2010–2011) PLoS One. 2016 11 1 e0147828-e 10.1371/journal.pone.0147828 26808547 PMC4726692 · DOI
  9. [13]Peltzer K Matseke G Mzolo T Majaja M Determinants of knowledge of HIV status in South Africa: results from a population-based HIV survey BMC Public Health. 2009 9 174 10.1186/1471-2458-9-174 19500373 PMC2700104 · DOI
  10. [14]Gunn JKL Asaolu IO Center KE Gibson SJ Wightman P Ezeanolue EE Antenatal care and uptake of HIV testing among pregnant women in sub-Saharan Africa: a cross-sectional study J Int AIDS Soc. 2016 19 1 20605 10.7448/IAS.19.1.20605 26787516 PMC4718968 · DOI
  11. [20]De Cock KM Barker JL Baggaley R El Sadr WM Where are the positives? HIV testing in sub-Saharan Africa in the era of test and treat AIDS 2019 33 2 349 352 10.1097/QAD.0000000000002096 30557162 · DOI
  12. [21]Graham SM Agutu C van der Elst E Hassan AS Gichuru E Mugo PM A Novel HIV-1 RNA Testing Intervention to Detect Acute and Prevalent HIV Infection in Young Adults and Reduce HIV Transmission in Kenya: Protocol for a Randomized Controlled Trial JMIR Res Protoc. 2020 9 8 e16198 10.2196/16198 32763882 PMC7442943 · DOI
  13. [22]Ngoi CN Price MA Fields B Bonventure J Ochieng C Mwashigadi G Dengue and Chikungunya Virus Infections among Young Febrile Adults Evaluated for Acute HIV-1 Infection in Coastal Kenya PLoS One. 2016 11 12 e0167508 10.1371/journal.pone.0167508 27942016 PMC5152832 · DOI
  14. [23]Etyang AO Munge K Bunyasi EW Matata L Ndila C Kapesa S Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems Lancet Glob Health 2014 2 4 e216 e224 10.1016/S2214-109X(14)70023-3 24782954 PMC3986034 · DOI
  15. [24]Muthumbi E Morpeth SC Ooko M Mwanzu A Mwarumba S Mturi N Invasive Salmonellosis in Kilifi, Kenya Clinical Infectious Diseases. 2015 61 suppl_4 S290 S301 10.1093/cid/civ737 26449944 PMC4596936 · DOI
  16. [25]Henson SP Boinett CJ Ellington MJ Kagia N Mwarumba S Nyongesa S Molecular epidemiology of Klebsiella pneumoniae invasive infections over a decade at Kilifi County Hospital in Kenya Int J Med Microbiol 2017 307 7 422 429 10.1016/j.ijmm.2017.07.006 28789913 PMC5615107 · DOI
  17. [26]Scott JAG Hall AJ Muyodi C Lowe B Ross M Chohan B Aetiology, outcome, and risk factors for mortality among adults with acute pneumonia in Kenya The Lancet 2000 355 9211 1225 1230 10.1016/S0140-6736(00)02089-4 10770305 · DOI
  18. [27]Sanders EJ, Wahome E, Powers KA, Werner L, Fegan G, Lavreys L, et al. Targeted screening of at-risk adults for acute HIV-1 infection in sub-Saharan Africa. AIDS. 2015;29(0 3):S221–30. PMC4714928 26562811
  19. [28]Wahome E Fegan G Okuku HS Mugo P Price MA Mwashigadi G Evaluation of an empiric risk screening score to identify acute and early HIV-1 infection among MSM in Coastal Kenya AIDS 2013 27 13 2163 2166 10.1097/QAD.0b013e3283629095 23842136 PMC3748854 · DOI
  20. [29]Agutu CA Oduor TH Kombo BK Mugo PM Chira SM Ogada FW High patient acceptability but low coverage of provider-initiated HIV testing among adult outpatients with symptoms of acute infectious illness in coastal Kenya PLoS One. 2021 16 2 e0246444 10.1371/journal.pone.0246444 33544736 PMC7864413 · DOI
  21. [31]Dovel K Shaba F Offorjebe OA Balakasi K Nyirenda M Phiri K Effect of facility-based HIV self-testing on uptake of testing among outpatients in Malawi: a cluster-randomised trial Lancet Glob Health 2020 8 2 e276 e287 10.1016/S2214-109X(19)30534-0 31981557 · DOI
  22. [32]Sambah F Baatiema L Appiah F Ameyaw EK Budu E Ahinkorah BO Educational attainment and HIV testing and counselling service utilisation during antenatal care in Ghana: Analysis of Demographic and Health Surveys PLoS One. 2020 15 1 e0227576 10.1371/journal.pone.0227576 31940331 PMC6961934 · DOI
  23. [33]Gebregziabher M Dai L Vrana-Diaz C Teklehaimanot A Sweat M Gender disparities in receipt of HIV testing results in six sub-saharan African countries Health equity 2018 2 1 384 394 10.1089/heq.2018.0060 30596190 PMC6308283 · DOI
  24. [35]Inwani I, Chhun N, Agot K, Cleland CM, Rao SO, Nduati R, et al. Preferred HIV Testing Modalities Among Adolescent Girls and Young Women in Kenya. Journal of Adolescent Health. 2021;68(3):497-507. 32792256
  25. [36]Singh K Luseno W Haney E Gender equality and education: Increasing the uptake of HIV testing among married women in Kenya Zambia and Zimbabwe AIDS care 2013 25 11 1452 1461 10.1080/09540121.2013.774311 23438082 PMC3966089 · DOI
  26. [37]Leddy AM Weiss E Yam E Pulerwitz J Gender-based violence and engagement in biomedical HIV prevention, care and treatment: a scoping review BMC Public Health 2019 19 1 897 10.1186/s12889-019-7192-4 31286914 PMC6615289 · DOI · Paper page
  27. [38]Settergren SK Mujaya S Rida W Kajula LJ Kamugisha H KilonzoMbwambo J Cluster randomized trial of comprehensive gender-based violence programming delivered through the HIV/AIDS program platform in Mbeya Region, Tanzania: Tathmini GBV study PLoS One. 2018 13 12 e0206074 10.1371/journal.pone.0206074 30521530 PMC6283609 · DOI

Cited by

Sorted by citations

Authors
Agutu, C. A., Oduor, T. H., Hassan, A. S., Mugo, P. M., Chege, W., de Wit, T. F. R., Sanders, E. J., & Graham, S. M.
Affiliations
  • Kenya Medical Research Institute (KE)
  • National Institutes of Health (US)
  • University of Washington (US)
Corresponding author
Agutu, Clara A.
Venue
BMC Public Health
Published
2022-02-11
Volume
22
Issue
1
Pages
280-280
ISSN
1471-2458 (ISSN-L)
OpenAlex
W4211070179
Cited by
4
References
3
Citations by year
2026: 1 · 2025: 1 · 2024: 1 · 2023: 1
FWCI
0.37
Type
journal article
Language
en
Open access
Locations
  • BMC Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (acceptedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Sub-Saharan African Network for TB/HIV Research Excellence (DEL-15-006)
  • National Institutes of Health (R01AI124968)
  • University of Washington/Fred Hutch Center for AIDS Research (AI027757)
Topics
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
  • Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Blood donation and transfusion practices
Keywords
HIV testing history, acute HIV infection, provider-initiated HIV testing, rapid antibody test, predictors of HIV testing, intimate partner violence, sexual concurrency, sexual partners, sex differences, young adults, primary care outpatients, coastal Kenya, HIV prevention
MeSH terms
HIV Testing, Adult, Cross-Sectional Studies, Female, Humans, Infant, Kenya, Male, Outpatients, HIV Infections

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review