Cited by 10HIV/AIDS Research and InterventionsHIV, Drug Use, Sexual RiskHIV Research and Treatment

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Undisclosed HIV infection among MSM in a behavioral surveillance study.

Abstract

OBJECTIVE: As a proxy for undiagnosed HIV, the Centers for Disease Control and Prevention's National HIV Behavioral Surveillance (NHBS) monitors participants who report being unaware of their infection, defined as self-reporting an HIV-negative or unknown status during the interview but testing positive for HIV infection. We validated the NHBS measure of awareness among MSM in 2014. DESIGN: We tested dried blood spots from MSM who reported being unaware of their infection for seven antiretrovirals (ARVs). MSM unaware with at least one ARV detected were defined as misreporters. METHODS: Weighted percentages and 95% confidence intervals were calculated to compare characteristics among misreporters, nonmisreporters, and those who self-reported as HIV-positive. Viral load was quantified with a validated assay using dried blood spots. RESULTS: Of 1818 HIV-positive MSM, 299 (16%) self-reported as HIV-negative or unknown infection status. Of these 299, 145 (49%) were considered misreporters based on ARV detection. Among the unaware, misreporters were more likely than nonmisreporters to be older and have health insurance. Compared with self-reported HIV-positive MSM, misreporters were more likely to be black, be bisexual, and have perceived discrimination. Of 138 misreporters with viral load data, 116 (84%) had an undetectable viral load. CONCLUSION: ARV testing revealed that half of MSM classified as unaware of their infection misreported their status. Although off-label preexposure prophylaxis use might explain the presence of ARVs, it is unlikely as many misreporters were virally suppressed, suggesting they were on HIV therapy. Biomarker validation of behavioral data can improve data quality and usefulness in NHBS and other studies.

Overview

Integrity signals

Registry

Crossref · 10.1097/qad.0000000000002147

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Flagged first, then by citations

Show all 8 references

Cited by

Sorted by citations

See all 10

Metadata

Authors
Hoots, B. E., Wejnert, C., Martin, A., Haaland, R., Masciotra, S., Sionean, C., Smith, A., Switzer, W. M., & Paz-Bailey, G.
Affiliations
Centers for Disease Control and Prevention (US)
Corresponding author
Hoots, Brooke E.
Venue
AIDS
Published
2019-04-01
Volume
33
Issue
5
Pages
913-918
ISSN
0269-9370 (ISSN-L)
OpenAlex
W2908784806
Cited by
10
References
8
Citations by year
2026: 1 · 2025: 1 · 2022: 1 · 2021: 5 · 2020: 2
FWCI
1.54
Type
journal article
Language
en
Open access
closed
Locations
  • AIDS (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
  • Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
  • Life Sciences › Immunology and Microbiology › Virology › HIV Research and Treatment
Keywords
undiagnosed HIV, men who have sex with men, dried blood spots, antiretroviral drugs, viral load, HIV pre-exposure prophylaxis, HIV treatment, perceived discrimination, bisexual men, biomarker validation
MeSH terms
Adult, Health Surveys, Humans, Insurance, Health, Reimbursement, Health Knowledge, Attitudes, Practice, Deception, Male, Middle Aged, Population Surveillance, Truth Disclosure, HIV Infections, Homosexuality, Male, Young Adult, Dried Blood Spot Testing

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