Spending on nucleos(t)ide analogues for hepatitis B in medicaid beneficiaries: 2012-2021
Bibliographic record
Abstract
INTRODUCTION AND OBJECTIVES: Treatment of chronic hepatitis B (CHB) with nucelos(t)ide analogues (NA) can improve outcomes, but NA treatment is expensive for insurance plans. MATERIALS AND METHODS: The Centers for Medicare & Medicaid Services database was assessed from 2012 to 2021 to assess the use of NA for CHB in patients on Medicaid. Data extracted included the number of claims, units, and costs of each agent stratified by originator and generic. RESULTS: Over the study period, 1.9 billion USD was spent on NA, with spending peaking in 2016 at $289 million US, which has subsequently decreased. Lower expenditures since 2016 have been associated with increased use of generics. The use of generic tenofovir or entecavir led to savings of $669 million US over the study period. CONCLUSIONS: Increased generic use has significantly reduced expenditures for NA drugs; policy shifts towards generic drug use may help with sustainability.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".