The cost effectiveness of palivizumab in congenital heart disease: a review of the current evidence
Bibliographic record
Abstract
OBJECTIVE: To review and summarize the literature concerning the cost-effectiveness of palivizumab compared to no prophylaxis in infants and young children with congenital heart disease (CHD). METHODS: A systematic literature search (MEDLINE to March 2012, limited to English language) identified studies that examined the cost-effectiveness of palivizumab in CHD populations. The quality of each study was assigned a quality score of 1-100 based on the Quality of Health Economic Studies (QHES) instrument. RESULTS: Ten studies were identified through the search strategy, of which four principally addressed the research question and six additional articles examined CHD in conjunction with other high-risk indications for palivizumab in their economic analyses. QHES for the studies ranged from 58-100, with a median score of 93 (76 for principal articles, 94 for secondary analyses). Cost-utility analyses, which evaluated costs per quality-adjusted life year (QALY), showed favorable results in five analyses (range $10,329-$16,648 per QALY), while the other two suggested no cost-effectiveness ($146,061 and $169,971 per QALY). Of three cost-effectiveness analyses, which assessed costs per hospital admission prevented (HAP), two concluded that the drug was not cost-effective ($16,216/day of hospitalization prevented and $868,296/HAP), while one did not interpret the final result ($43,561/HAP). LIMITATIONS: Significant variance exists across study characteristics, analytic models utilized, duration of RSV seasons assessed, primary outcome measures evaluated, sensitivity analyses conducted, and other model assumptions. Further, it was difficult to obtain true CHD-based quality scores for the studies that analyzed more than one indication. CONCLUSIONS: The findings of this review currently remain inconclusive. Although a favorable trend was identified in the cost-utility analyses, additional rigorously conducted studies are necessary to better estimate the cost-effectiveness of palivizumab for CHD infants in clinical practice.
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 | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".