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Record W3145012901 · doi:10.21203/rs.3.rs-78982/v1

A Study to Evaluate the Accuracy, Usability, and Acceptance of a Blood-Based HIV Self-Test Performed by Observed Intended Users in Canada

2020· preprint· en· W3145012901 on OpenAlexaffabout
Richard A. Galli, Jason M. Lo Hog Tian, Michelle Sumner-Williams, Kristin McBain, Emal Stanizai, Wangari Tharao, Muna Aden, Heather Jamieson, Mark Da Silva, Anne-Fanny Vassal, Lorie Guilbault, Laurie Ireland, Kim Witges, Alexandra King, Kehinde Ametepee, Nathan J. Lachowsky, Nitika Pant Pai, Tony Mazzulli, Sean B. Rourke

Bibliographic record

VenueResearch Square · 2020
Typepreprint
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsMcGill UniversityPublic Health OntarioCommunity Based Research CentreUniversity of SaskatchewanNine Circles Community Health CentreHassle Free ClinicWomen's Health In Women's Hands
Fundersnot available
KeywordsUsabilityTest (biology)Human immunodeficiency virus (HIV)Computer scienceHuman–computer interactionPsychologyMedicineBiologyVirologyEcology

Abstract

fetched live from OpenAlex

Abstract Introduction: Self-Testing for HIV (“HIVST”) is an emerging targeted intervention with the potential to increase the access, uptake and frequency of HIV testing and more effectively reach the undiagnosed especially in priority populations. The study objectives of this study were to (1) evaluate the INSTI HIV-Self-Test (HIV-ST) performance compared with laboratory reference testing, (2) document if intended users can perform the steps to use the HIV-ST device, and (3) document if intended users can successfully interpret contrived positive, negative, and invalid results. Study was intended to be submitted to Health Canada for review for license purposes.Methods: The study used a cross-sectional design and recruited consenting adults from four community sites across Ontario, Québec, and Manitoba between August 2019 and March 2020. The results of the observed HIV-ST were compared with results of the Abbott Architect HIV Ag/Ab Combo test. Results: Primary efficacy analysis on 678 completed HIV-ST revealed a positive percent agreement of 100% and a negative percent agreement of 99.5% with the comparator method. The overall percent agreement of results interpretation between participant and observer was 93.5%. Of the 708 participants who took part in the usability study, 92.4% of participants successfully performed the steps determined to be “critical” for successful completion of the test, 96.7% of participants found the instructions easy to follow, and 95% of participants indicated that they would use the test again. Of the 404 participants who interpreted the strong positive, weak positive, negative and invalid contrived results, successful interpretation ranged from 90.6% (for weak positive) to 99.3% (for negative).Conclusions: The addition of this very first self-test into the Canadian HIV testing landscape could significantly increase HIV testing rates. An approved blood-based HIV self-test in Canada can offer an accurate, acceptable and simple alternative to facility-based HIV testing, particularly when impacted by Coronavirus pandemic restrictions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.124
GPT teacher head0.428
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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