Cost effectiveness of outpatient treatment for febrile neutropaenia in adult cancer patients
Bibliographic record
Abstract
BACKGROUND: There is uncertainty whether low-risk episodes of febrile neutropaenia (FN) in adult cancer patients are best managed in the in- or outpatient setting. METHODS: A Monte Carlo cost-utility model was created to compare four treatment strategies for low-risk FN: (1) treatment in hospital with intravenous antibiotics (HospIV); (2) early discharge after 48 h in-patient observation, followed by oral outpatient treatment (EarlyDC); (3) outpatient management with IV antibiotics (HomeIV); and (4) outpatient management with oral antibiotics (HomePO). The model used a health-care payer perspective and a time horizon of one FN episode. Outcome measures were quality-adjusted FN episodes (QAFNE), costs (Canadian dollars) and incremental cost-effectiveness ratios (ICER). Parameter uncertainty was assessed with probabilistic sensitivity analyses. RESULTS: HomePO was cost saving ($3470 vs $4183), but less effective (0.65 QAFNE vs 0.72 QAFNE) than HomeIV. The corresponding ICER was $10,186 per QAFNE. Both EarlyDC ($6115; 0.66 QAFNE) and HospIV ($13,557; 0.62 QAFNE) were dominated strategies. At a willingness-to-pay (WTP) threshold of $4,000 per QAFNE, HomePO and HomeIV were cost effective in 54 and 38% of simulations, respectively. INTERPRETATION: For adult cancer patients with an episode of low-risk FN, treatment in hospital is more expensive and less effective than outpatient strategies.
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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) | 0.000 | 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".