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Record W4200316172 · doi:10.1093/ofid/ofab466.076

76. Effects of the “Undetectable = Untransmittable” (“U=U”) Educational Campaign on Treatment Outcomes and Perceptions among People Living with HIV in North American Countries

2021· article· en· W4200316172 on OpenAlexaboutno aff
Frank Spinelli, Bruce W. Richman, Patricia Rios, Benjamin Young, Marvelous Muchenje, Nicolas Van de Velde, Chinyere Okoli

Bibliographic record

VenueOpen Forum Infectious Diseases · 2021
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineResidenceDemographyMetropolitan areaSexual orientationReceiptGerontologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract Background The educational campaign “Undetectable = Untransmittable” (U=U) began in 2016 to improve the well-being of people living with HIV (PLHIV) and recalibrate HIV-related social norms. As medical practice can vary by region, we examined reports from PLHIV in North American countries to identify if the campaign affected healthcare provider (HCP) communication of U=U and if positive health outcomes differed by U=U-informed status or country. Methods Data were collected from the 2019 Positive Perspectives survey of PLHIV in Canada (n=120), Mexico (n=63), and the United States (US; n=400) and stratified by country. Outcomes were self-rated mental and sexual health (“Good”/”Very good”), viral suppression, and sharing of HIV status. Treatment perceptions were also assessed. Results Whether diagnosis occurred before or after the U=U campaign launch did not significantly affect the proportion of PLHIV who reported receipt of U=U from an HCP in any North American country. Whether an individual was informed of U=U varied significantly by sexual orientation (heterosexual, 62.8%; homosexual, 74.9%; other, 87.8%), sex (men, 64.7%; women, 89.8%; other, 100%), and metropolitan vs non-metropolitan residence (metropolitan, 78.2%; non-metropolitan, 65.2%) in the US (P< 0.01 for all) but not in Canada or Mexico. Prevalence of sharing of HIV status with ≥ 1 person besides an HCP varied among PLHIV (Canada, 87%; Mexico, 95%; US, 84%). Prevalence of other positive outcomes varied by country and whether PLHIV had been informed of U=U (Figure). Whether PLHIV were informed of U=U was also correlated with treatment satisfaction and the perception that treatment needs were being met among PLHIV in the US and Canada (P< 0.01 for all), and with the belief that treatment prevents transmission among PLHIV in the US (P=0.01). Figure. Prevalence of positive outcomes among PLHIV in Canada (n=120), Mexico (n=63), and the US (n=400). PLHIV, people living with HIV; US, United States; U=U, Undetectable = Untransmittable. *P<0.01 for U=U informed vs uninformed. Conclusion Being informed of U=U was associated with higher treatment satisfaction, and higher mental and sexual health outcomes among PLHIV in North America. Receipt of U=U was associated with significantly higher treatment satisfaction among PLHIV in the US and Canada, and significantly more PLHIV with optimal mental and sexual health in the US. Disclosures Frank Spinelli, MD, ViiV Healthcare (Employee) Bruce Richman, JD, ViiV Healthcare (Consultant) Patricia De Los Rios, MSc, GlaxoSmithKline (Shareholder)ViiV Healthcare (Employee) Benjamin Young, MD, PhD, GlaxoSmithKline (Shareholder)ViiV Healthcare (Employee) Nicolas Van de Velde, PhD, ViiV Healthcare (Employee) Chinyere Okoli, PharmD, MSc, DIP, GlaxoSmithKline (Shareholder)ViiV Healthcare (Employee)

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)0.002
metaresearch head score (Gemma)0.007
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 score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.277
Teacher spread0.272 · 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".

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Citations1
Published2021
Admission routes1
Has abstractyes

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