De‐simplifying antiretroviral therapy from a single‐tablet to a two‐tablet regimen: Acceptance, patient‐reported outcomes, and cost savings in a multicentre study
Bibliographic record
Abstract
BACKGROUND: Antiretroviral therapy (ART), which is increasingly used by people with HIV, accounts for significant care costs, particularly because of single-tablet regimens (STRs). This study explored de-simplification to a two-tablet regimen (TTR) for cost reduction. The objectives of this study were: (1) acceptance of de-simplification, (2) patient-reported outcomes, and (3) cost savings. METHODS: All individuals on Triumeq®, Atripla® or Eviplera® in five HIV clinics in the Netherlands were eligible. Healthcare providers informed individuals of this study. After inclusion, individuals were free to de-simplify. An electronic questionnaire was sent to assess study acceptance, adherence, quality of life (SF12) and treatment satisfaction (HIVTSQ). After 3 and 12 months, questionnaires were repeated. Cost savings were calculated using Dutch drug prices. RESULTS: In total, 283 individuals were included, of whom 55.5% agreed to de-simplify their ART, with a large variability between treatment centres: 41.1-74.2%. Individuals who were willing to de-simplify tended to be older, had a longer history of HIV diagnosis, and used more co-medication than those who preferred to remain on an STR regimen. Patient-reported outcomes, including quality of life and treatment satisfaction, showed no significant difference between people with HIV who switched to a TTR and those who remained on an STR regimen. Furthermore, we observed a 17.8% reduction in drug costs in our cohort of people with HIV who were initially on an STR. CONCLUSIONS: De-simplification from an STR to a TTR within the Dutch healthcare setting has been demonstrated as feasible, leads to significant cost reductions and should be discussed with every eligible person with HIV in the Netherlands.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".