Establishing Novel Antiretroviral Imaging for Hair to Elucidate Nonadherence: Protocol for a Single-Arm Cross-sectional Study
Bibliographic record
Abstract
BACKGROUND: Adherence to antiretroviral (ARV) therapy is critical for achieving HIV RNA suppression in people living with HIV and for preventing HIV infection in uninfected individuals using preexposure prophylaxis. However, a high level of adherence can be challenging to achieve for people living with HIV on lifelong ARVs and for HIV-negative individuals using daily preexposure prophylaxis who are not at daily risk for HIV infection. Current biological measures of adherence are invasive and use bioanalytical methods that do not allow for real-time feedback during a clinic visit. This study was designed to test the feasibility and acceptability of using MedViewer, a novel, minimally invasive, hair-based assay that measures longitudinal ARV drug adherence in real time and provides an output for provider-patient discussion. OBJECTIVE: The primary objectives were to investigate the feasibility of delivering the MedViewer results as planned, the acceptability of participation in a discussion of the MedViewer results, and the appropriateness of using MedViewer for adherence counseling. The secondary objectives were to investigate additional dimensions of feasibility, acceptability, and appropriateness of using the MedViewer test during a routine clinic visit for people with HIV. METHODS: The proposed study was a single-arm cross-sectional study among patients receiving HIV care and providers of HIV care in a southeastern infectious disease clinic. The study originally planned to implement the MedViewer test with 50 eligible patients who were living with HIV across 2 viral load strata (undetectable or detectable plasma HIV RNA over the previous 2 years), administer brief visit-specific questionnaires to all patient and provider participants, and conduct qualitative in-depth interviews and quantitative end-line questionnaires with a subsample of patient participants (n=30) and all provider participants. RESULTS: The Establishing Novel Antiretroviral Imaging for Hair to Elucidate Nonadherence study was funded by the National Institute of Allergy and Infectious Diseases and approved by the local institutional review board on November 4, 2019. Provider participant enrollment began on January 17, 2020, and patient participant enrollment began on January 22, 2020. Participant enrollment was halted on March 16, 2020, because of the COVID-19 pandemic (16 providers and 10 patients on study). Study activities resumed on February 2, 2021, with COVID-19 modifications approved by the local institutional review board. Participant enrollment closed on October 8, 2021, and data collection closed on November 15, 2021. In total, 36 unique patient participants, representing 37 samples, and 20 provider participants were enrolled. Data analysis and manuscript writing will take place throughout 2023. CONCLUSIONS: We anticipate that the data collected through this study will provide important insights regarding the feasibility, acceptability, and appropriateness of incorporating new real-time longitudinal, minimally invasive adherence tests into routine clinical care and identify potential barriers to medication adherence among patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT04232540; https://clinicaltrials.gov/ct2/show/NCT04232540. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/41188.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.021 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.035 | 0.010 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".