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Record W4411872925 · doi:10.3390/venereology4030011

A Scoping Review of How High-Income Country HIV Guidelines Define, Assess, and Address Oral ART Adherence

2025· review· en· W4411872925 on OpenAlexafffund
Dominic Chu, Kim Engler, Tibor Schuster, Romain Palich, Joel Ishak, Bertrand Lebouché

Bibliographic record

VenueVenereology · 2025
Typereview
Languageen
FieldMedicine
TopicHIV/AIDS oral health manifestations
Canadian institutionsRoyal Victoria HospitalMcGill UniversityRoyal Victoria Regional Health CentreMcGill University Health Centre
FundersFonds de Recherche du Québec - SantéMcGill University Health CentreMcGill University
KeywordsHuman immunodeficiency virus (HIV)BusinessMedicineFamily medicine

Abstract

fetched live from OpenAlex

Background/Objectives: An optimal approach to addressing oral antiretroviral therapy (ART) adherence remains unclear in the research literature. This review aimed to identify definitions and thresholds of adherence, proposed methods and frequencies of evaluating adherence levels, barriers to adherence, and interventions to address adherence problems. Methods: A scoping review of HIV guidelines drew on guidance from the Joanna Briggs Institute. Eligible English and French guidelines and their updates concerned adults with HIV and oral ART from developed countries and international health organizations from 2017 to May 2023. Three databases were systematically searched, along with the gray literature. Then, a targeted search for omitted developed countries was conducted. Document selection and data charting were performed with two reviewers for 20% of records and full texts, followed by an independent review. Inductive–deductive content analysis of extracted data was performed using NVivo 14 software. Results: Twenty-four guidelines were identified from seven countries and two international health organizations. Only two defined ART adherence, and none offered a threshold for adequate adherence. Most guidelines (n = 22/24) reported adherence interventions, 20 guidelines (83%) identified adherence barriers, 20 guidelines (83%) noted variable methods to evaluate adherence, and 17 guidelines (71%) proposed a range of frequencies for assessing adherence. Conclusions: This review underscored a lack of consensus around adherence and its management. Very few guidelines defined adherence, none proposed an optimal threshold, and there was no agreement on how to gauge adherence. These gaps and variability raise questions about how clinicians manage adherence in practice. More systematic and preventative approaches to monitoring adherence may be needed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.414
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.154
GPT teacher head0.475
Teacher spread0.321 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes2
Has abstractyes

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