Health care costs associated with hepatocellular carcinoma: A population-based study
Bibliographic record
Abstract
UNLABELLED: Although the burden of hepatocellular carcinoma (HCC) is an escalating public health problem, it has not been rigorously estimated within a Canadian context. We conducted a population-based study using Ontario Cancer Registry linked administrative data. The mean net costs of care due to HCC were estimated using a phase of care approach and generalized estimating equations. Using an incidence approach, the mean net costs of care were applied to survival probabilities of HCC patients to estimate 5-year net costs of care and extrapolated to the Canadian population of newly diagnosed HCC patients in 2009. During 2002-2008, 2,341 HCC cases were identified in Ontario. The mean (95% confidence interval [CI]) net costs of HCC care per 30 patient-days (2010 US dollars) were $3,204 ($2,863-$3,545) in the initial phase, $2,055 ($1,734-$2,375) in the continuing care phase, and $7,776 ($5,889-$9,663) in the terminal phase. The mean (95% CI) 5-year net cost of care was $77,509 ($60,410-$94,607) and the 5-year aggregate net cost of care was $106 million ($83-$130 million) (undiscounted). The net costs of patients receiving liver transplantation only and those undergoing surgical resection only were highest in the terminal phase. The net cost of patients receiving radiofrequency ablation as the only treatment was relatively low in the initial phase, and there were no significant differences in the continuing and terminal phases. CONCLUSION: Our findings suggest that costs attributable to HCC are significant in Canada and expected to increase. Our findings of phase-specific cost estimates by resource categories and type of treatment provide information for future cost-effectiveness analysis of potential innovative interventions, resource allocation, and health care budgeting, and public health policy to improve the health of the population.
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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 | 0.000 |
| 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 | 0.000 |
| 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".