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Record W7017182973

Antiretroviral therapy use, and self-reported adherence and viral suppression among women living with HIV in Canada

2024· dissertation· en· W7017182973 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2024
Typedissertation
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéOntario HIV Treatment NetworkCanadian Institutes of Health ResearchMcGill University Health CentreViiV HealthcareMcGill UniversityGilead Sciences
KeywordsAntiretroviral therapyHuman immunodeficiency virus (HIV)Viral loadLentivirusSidaPopulation
DOInot available

Abstract

fetched live from OpenAlex

Background: In Canada, an estimated 62,790 people are living with HIV, 24.6% of which are female.Antiretroviral therapy (ART) suppresses viral replication to undetectable levels, leading to reduced individual-level morbidity, mortality, and risk of onward transmission.Most commonly over the last decade, ART consists of a backbone of two nucleoside reverse transcriptase inhibitors (NRTIs), with a third agent from one of the following classes: an integrase strand transfer inhibitor (INSTI), a non-nucleoside reverse transcriptase inhibitor (NNRTI), or a boosted protease inhibitor (bPI).Viral suppression (VS) is contingent on adherence to ART, but adherence can be affected by intrapersonal and structural barriers.Underlying gender and racial inequities may exacerbate these barriers for women living with HIV.A landmark 2000 study found that at least 95% ART adherence is necessary for VS.With potent and tolerable agents made recently available as therapeutic options, specifically INSTIs, lower adherence may not have the same harmful impact as with older regimens.I aimed to describe ART use among women living with HIV in Canada between 2013 and 2018, and identify the level at which self-reported ART adherence is no longer associated with self-reported VS.Methods: I used data from the Canadian HIV Women's Sexual and Reproductive Health Cohort Study (CHIWOS), a community-based study conducted across three provinces from 2013 to 2018.Overall, 1,422 women living with HIV completed three waves of questionnaires at 18-month intervals.A Sankey diagram was used to show trends of third agent classes over time.The proportion of self-reported VS (less than 50 copies/mL) at different levels of self-reported adherence was plotted.Multivariable logistic regression was used to determine the association between adherence and VS, adjusting for demographic factors, years with HIV, third agent class, number of medications other than ART, incarceration history, housing stability, current illicit drug use, current mental health condition, and ART interruption between study waves.Results: Overall, 1,187 women living with HIV were included, excluding those who did not indicate ART use status from 2013 to 2018 (n=235).At baseline, the median age was 42 years.With respect to race/ethnicity, 42.0% (n=499) self-identified as white, 29.4% (n=349) as African, Caribbean, and Black, and 21.0% (n=249) as Indigenous.Participants who reported an annual RESUMÉ Contexte: Au Canada, on estime à 62 790 le nombre de personnes vivant avec le VIH, dont 26,4% sont des femmes.Le traitement antirétroviral (TAR) réduit la réplication virale à des niveaux indétectables, ce qui réduit la morbidité et la mortalité, ainsi que le risque de transmission.Depuis la dernière décennie, la TAR se compose généralement de deux inhibiteurs nucléosidiques de la transcriptase inverse, plus un troisième agent: un inhibiteur de l'intégrase (II), un inhibiteur non nucléosidique de la transcriptase inverse (INNTI), ou un inhibiteur de la protéase boosté.La suppression virale (SV) dépend de l'adhésion à la TAR, mais des obstacles intrapersonnels et structurels peuvent affecter celle-ci.Les inégalités liées au sexe et à la race peuvent exacerber ces obstacles pour les femmes vivant avec le VIH.Une étude réalisée en 2000 a montré qu'une adhésion d'au moins 95% à la TAR est nécessaire pour atteindre la SV.Avec les agents puissants et mieux tolérés maintenant disponibles, en particulier les II, les niveaux d'adhésion plus faibles peuvent ne pas avoir les mêmes impacts négatifs que les régimes plus anciens.Mes travaux visent à décrire l'utilisation de la TAR chez les femmes vivant avec le VIH au Canada et identifier l'association entre l'adhésion à la TAR et les SV autodéclarés.Méthodes: J'ai utilisé les données de l'étude sur la santé sexuelle et reproductive des femmes vivant avec le VIH au Canada (CHIWOS), une étude communautaire menée dans trois provinces de 2013 à 2018.En tout, 1 422 femmes vivant avec le VIH ont rempli trois questionnaires à des intervalles de 18 mois.Un diagramme de Sankey a été utilisé pour présenter les changements du troisième agent.La proportion de SV autodéclarée (moins de 50 copies/mL) à différents niveaux d'adhésion autodéclarée a été tracée.Une régression logistique multivariée a étudié l'association entre l'adhésion et la SV, en ajustant pour les facteurs démographiques, le nombre d'années avec le VIH, la classe du troisième agent, le nombre de médicaments autres que la TAR, les antécédents d'incarcération, la stabilité du logement, la consommation actuelle de substances illicites, l'état de santé mentale actuel et l'interruption de la TAR entre les vagues de l'étude.Résultats: Au final, 1 187 femmes vivant avec le VIH ont été inclues, en excluant celles qui n'ont pas indiqué leur statut d'utilisation de TAR entre 2013 et 2018 (n=235).Au début de l'étude, l'âge médian était de 42 ans, 42,0% (n=499) s'identifiaient comme blanches, 29,4% (n=349) comme Antiretroviral therapy use, and self-reported adherence and viral suppression among women living with HIV in Canada

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)0.001
metaresearch head score (Gemma)0.003
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 score0.027
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0030.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.220
Teacher spread0.210 · 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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Citations0
Published2024
Admission routes2
Has abstractyes

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