[Pharmaco-economic aspects of vaccination against invasive pneumococcal infections in persons over 65 years of age; review of the literature on cost effectiveness analysis].
Bibliographic record
Abstract
OBJECTIVE: To assess the cost-effectiveness of vaccination to prevent invasive pneumococcal disease in the elderly. DESIGN: Review of the literature. METHODS: Articles in Dutch or English reporting studies into the cost-effectiveness of vaccination for the prevention of invasive pneumococcal infection in persons over 65 years of age were retrieved from Medline (1980-2000; search terms: 'pneumococcal' and 'vaccine' in combination with 'costs' or 'economics') and on the basis of the reference lists in the articles found. The following aspects of the selected studies were assessed: the net costs per year of life gained, the incidence of invasive pneumococcal disease in the elderly, the mortality due to invasive pneumococcal infections, the effectiveness of the vaccine in the prevention of invasive pneumococcal infections, and the costs of the vaccine and its administration. Attention was also given to specific age categories and to the effects of varying certain crucial assumptions. RESULTS: We retrieved a total of five studies: one each for the USA, Canada, the Netherlands and Spain and a multinational study for five European countries. The cost-effectiveness of vaccination of the elderly against invasive pneumococcal infections varied from cost savings to [symbol: see text] 33,000,-per life-year gained. The Dutch study estimated the cost-effectiveness at [symbol: see text] 10,100,-per life-year gained (price level 1995). Almost all the studies selected based their estimate of the effectiveness of vaccination on the same case-control study from the USA. The potential effects on cost-effectiveness of more extensive influenza vaccination and of the inclusion of re-vaccination against pneumococci were not included in the analyses. CONCLUSION: The cost-effectiveness of vaccination against invasive pneumococcal infections in persons over 65 years of age (in the Netherlands as well as in several other countries) was below the previously accepted threshold of [symbol: see text] 20,000,-.
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 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".