Cost-effectiveness of switching to biphasic insulin aspart from human premix insulin in a US setting
Bibliographic record
Abstract
OBJECTIVES: To evaluate the cost-effectiveness of switching to biphasic insulin aspart (BIAsp 30) from human premix insulin for type 2 diabetes patients in the United States (US) setting. METHODS: The previously published and validated IMS Core Diabetes Model was used to project life expectancy, quality-adjusted life expectancy (QALE) and costs over 30 years. Patient characteristics and treatment effects were based on Canadian patients included the IMPROVE observational study (n = 311). Mean glycohaemoglobin (HbA(1c)) was 8.4%, duration of diabetes 16 years and prevalence of complications high at baseline. Simulations were conducted from the perspective of a third-party payer, with costs accounted in 2008 US dollars ($). RESULTS: BIAsp 30 was projected to improve life expectancy by 0.202 years and QALE by 0.301 quality-adjusted life-years (QALYs), due to a reduced incidence of most diabetes-related complications. BIAsp 30 was associated with increased lifetime direct medical costs ($76,517 vs. 67,518) and an incremental cost-effectiveness ratio of $29,870 per QALY gained. Long-term outcomes were sensitive to the impact of BIAsp 30 on hypoglycaemia and changes in HbA(1c). CONCLUSIONS: BIAsp 30 may represent a cost-effective treatment option in the US setting for advanced type 2 diabetes patients experiencing poor glycaemic control or hypoglycaemia on human premix insulin. LIMITATIONS: The application of treatment effect data derived from a Canadian cohort to the US setting was a limitation of the cost-effectiveness analysis. The findings of this cost-effectiveness analysis are not applicable to insulin-naïve diabetes patients.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".