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Record W3091817640 · doi:10.1007/s10461-020-03055-1

Physical, Emotional, and Psychosocial Challenges Associated with Daily Dosing of HIV Medications and Their Impact on Indicators of Quality of Life: Findings from the Positive Perspectives Study

2020· article· en· W3091817640 on OpenAlexaff
Patricia Rios, Chinyere Okoli, Erika Castellanos, Brent Allan, Benjamin Young, Garry Brough, Marvelous Muchenje, Anton Eremin, Giulio Maria Corbelli, Marta McBritton, William D. Hardy, Nicolas Van de Velde

Bibliographic record

VenueAIDS and Behavior · 2020
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsInternational Council Of Aids Service Organizations
FundersViiV Healthcare
KeywordsPillMedicineDosingPsychosocialHealth psychologyOddsQuality of life (healthcare)Odds ratioPublic healthFamily medicineGerontologyLogistic regressionPsychiatryInternal medicinePharmacologyNursing

Abstract

fetched live from OpenAlex

To assess challenges with daily oral antiretroviral therapy (ART), we analyzed data for 2389 participants in the 2019 Positive Perspectives survey of people living with HIV in 25 countries. ART-related challenges reported included difficulty swallowing pills (33.1% [790/2389]); stress from daily dosing routine (33.3% [795/2389]); bad memories from daily intake of HIV medication (35.1%[839/2389]), and concern "that having to take pills every day means a greater chance of revealing my HIV status to others" (37.9% [906/2389]). Individuals who felt empowered by daily oral dosing ["taking my pill(s) every day reassures me that my HIV is being kept under control"] had 69% higher odds of optimal overall health (AOR 1.69, 95% CI 1.40-2.04). Conversely, odds of optimal overall health were lower among those who felt daily pill intake "limits my day-to-day life" (AOR 0.53, 95% CI 0.44-0.64). These findings show that there is need for increased flexibility of ART delivery to meet diverse patient needs.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.046
GPT teacher head0.380
Teacher spread0.334 · 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

Citations86
Published2020
Admission routes1
Has abstractyes

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