Cost-effectiveness of palivizumab compared to no prophylaxis in term infants residing in the Canadian Arctic
Bibliographic record
Abstract
BACKGROUND: Hospital admissions for respiratory syncytial virus infection result in large health expenditures for Inuit infants. Palivizumab has been shown to be highly effective in reducing such admissions in preterm Inuit infants. We performed a cost-effectiveness analysis estimating the incremental cost-effectiveness ratio (ICER) for palivizumab prophylaxis per admission related to respiratory syncytial virus avoided in healthy term infants across the Canadian Arctic. METHODS: We compared universal palivizumab prophylaxis in term infants less than 6 months of age to no prophylaxis in 8 Arctic regions: the Northwest Territories, Nunavut, Nunavut without Iqaluit, the 3 subregions of Nunavut (Kitikmeot, Kivalliq and Qikiqtaaluk), the Qikiqtaaluk Region without Iqaluit, and Nunavik (northern Quebec). Costs were acquired from the territorial governments, hospitals and contracted agencies. The perspective is that of the public payer, with a 6-month timeline. In scenario A, universal prophylaxis was provided until the end of the respiratory syncytial virus season, and in scenario B, infants received prophylaxis until 5 months of age. The ICERs of scenario A were compared with those of scenario B. RESULTS: Under scenario A, the cost per admission avoided was as high as $546 115 in the Northwest Territories, compared with a cost savings of $36 145 in the Kitikmeot Region. Under scenario B, the ICER showed cost savings of $48 549 in the Kitikmeot Region and $2731 in the Kivalliq Region, with low ICERs in Nunavik of $15 601. INTERPRETATION: Considerable cost savings were found for the Kitikmeot Region with universal palivizumab prophylaxis in term infants with both scenarios, whereas cost savings were found for the Kivalliq Region with scenario B. Stopping prophylaxis at 5 months of age was a more cost-effective strategy in all regions except the Kitikmeot Region. Nunavik had low ICERs, and prophylaxis should be considered for this region.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".