Total and cancer-attributable phase-based costs for adolescent cancer care: A population–based study in British Columbia, Canada.
Bibliographic record
Abstract
12 Background: Cancer among adolescents presents unique issues regarding diagnosis, treatment, late effects, and survival; but little is known about their healthcare costs, which are useful for economic evaluations and planning care. This study estimates total and cancer-attributable (net) medical costs for a population-based adolescent cancer cohort in British Columbia, Canada, by phase of care. Methods: Patients diagnosed with cancer aged 15 to 19 years from 1995 to 2009 were identified from the British Columbia Cancer Registry, and followed to December 31st2010. Data were linked with clinical and provincial administrative healthcare databases covering all medically-necessary costs. Total resource-specific costs (Canadian $ 2012) by phase of care were estimated for all patients and specific common cancers. Net costs were calculated by subtracting healthcare costs for propensity-score-matched provincial samples of adolescents without cancer from cancer patient costs. Results: Of the 750 cases, approximately 26% had lymphoma, 17% germ cell, 14% bone and soft tissue sarcomas, 12% central nervous system (CNS), and 11% leukemia; 94% survived > = 1 year. Total mean pre-diagnosis costs per patient were $3657, of which $3554 was attributable to the cancer. First-year mean costs were $60,531 ($59,826). Continuing phase mean costs were $8,413 ($7,708). Final year of life mean costs were $224,243 ($221,018). Cancer types with highest costs were CNS (pre-diagnosis), leukemia (first-year); bone and soft tissue (continuing), and leukemia (end-of-life). Virtually all inpatient hospitalizations were cancer-related, representing ~40% of pre-diagnosis, ~62% of first-year, ~56%of continuing, and ~72%of end-of-life costs respectively. Conclusions: Management of adolescent cancer is costly, but is lower than for childhood cancer in all phases of care. Total costs, cancer-attributable costs, and inpatient activity were highest in the end-of-life period. Hospitalizations were the largest driver of costs in all post-diagnosis phases of care. Costs in the continuing phase, including surveillance and care for late effects, were 14% of first-year phase costs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".