Healthcare resource utilization in myeloproliferative neoplasms: a population-based study from Ontario, Canada
Bibliographic record
Abstract
Health resource utilization (HRU) and associated factors of high cost are not well understood in myeloproliferative neoplasms (MPNs). In this population-based, retrospective matched-cohort study, we used administrative health databases of Ontario, Canada to measure treatment costs and HRU for patients with MPN from 2004 to 2016 and compared them to matched controls. In 7130 patients with MPN [essential thrombocythemia (ET) = 3481; polycythemia vera (PV) = 2618; myelofibrosis (MF) = 1031], the mean annualized treatment costs were $16,646 for ET (controls, $7070); $16,360 for PV (controls, $7293); and $25,863 for MF (controls, $7386). Out of the total costs, the largest expenditure was on acute hospital care (ET: 57%, PV: 57%, MF: 66%). Older age (≥65), male gender, patients not seen by a specialist, and greater comorbidity burden were independent predictors of higher costs (p < 0.05). In addition, history of venous thrombosis in patients with ET and PV was associated with significantly higher treatment costs (p < 0.05).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".