Partially Hydrolysed 100% Whey-Based Infant Formula and the Prevention of Atopic Dermatitis: Comparative Pharmacoeconomic Analyses
Bibliographic record
Abstract
Clinical trials have demonstrated that the risk of developing atopic dermatitis is reduced when using hydrolysed formulas to feed infants with a documented risk of atopy (i.e. an affected parent and/or sibling)when breastfeeding is not practised. However, little is known about the cost-effectiveness of using hydrolysed formulas. Consequently, economic analyses in 5 European countries (Denmark, France, Germany, Spain and Switzerland) have evaluated the costs and cost-effectiveness of a specific brand of 100% whey-based partially hydrolysed infant formula, NAN-HA® (PHF-W) compared with a cow's milk standard formula (SF) in the prevention of atopic dermatitis in at-risk children. This review synthesises the findings of these studies. Cost-effectiveness analyses (CEA) used a decision-analytic model to determine treatment pathways, resource utilisation and costs associated with the management of atopic dermatitis in healthy at-risk newborns who were not exclusively breastfed. The model had a 12-month horizon and applied reimbursement rates of 60-100% depending on the country. Outcomes were considered from the perspective of the public healthcare system (e.g. the Ministry of Health; MOH), family and society. The final outcome was the incremental cost-effectiveness ratio per avoided case of atopic dermatitis (ICER) for PHF-W versus SF. A cost-minimisation analysis was also performed to compare PHF-W with extensively hydrolysed formulas (EHF). The base-case CEA produced ICERs per avoided case for PHF-W versus SF of EUR 982-1,343 (MOH perspective), EUR -2,202 to -624 (family perspective) indicating savings, and EUR -1,220 to 719 from the societal perspective. The main costs related to formula (MOH and society) and time loss (family). In the cost-minimisation analysis, PHF-W yielded savings of between EUR 4.3 and 120 million compared with EHF-whey when the latter was used in prevention. In conclusion, PHF-W was cost-effective versus SF in the prevention of atopic dermatitis and cost saving compared with EHF when used in prevention.
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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.013 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".