Cost-effectiveness analysis of infant feeding modalities for virally suppressed mothers in Canada living with HIV
Bibliographic record
Abstract
OBJECTIVE: The aim of the study was to determine whether exclusive breastfeeding or exclusive formula feeding is more cost-effective when a Canadian mother with HIV is adherent to antiretroviral therapy and has full virologic suppression. DESIGN: Current Canadian guidelines recommend that mothers with HIV practice exclusive formula feeding. This contradicts the updated World Health Organization (WHO) guidelines which recommend that mothers with HIV should breastfeed for ≥12 months while receiving support for antiretroviral therapy adherence. Due to the economic and health risks and benefits associated with each modality, there remains expert disagreement on whether the WHO recommendations should be adopted in high-income countries. METHODS: A microsimulation model was developed to estimate lifetime costs and effectiveness (i.e., infant's quality-adjusted life years) of a hypothetical group of 1,000,000 initially healthy, HIV-negative infants, if the mother with HIV was on antiretroviral therapy with full virologic suppression and either exclusive breastfeeding or exclusive formula feeding. The model was developed from the economic perspective of the Ontario Ministry of Health, taking into account direct costs associated with infant feeding modality as well as related indirect costs born out of the child's lifetime health outcomes. Uncertainties related to model parameters were evaluated using one-way and probabilistic sensitivity analyses. RESULTS: In comparison to exclusive formula feeding, exclusive breastfeeding was the dominant feeding modality (i.e., less costly and more effective) yielding cost-savings of $13,812 per additional quality-adjusted life year gained. Neither one-way nor probabilistic sensitivity analyses altered the conclusions. CONCLUSIONS: Despite the risk of HIV transmission, exclusive breastfeeding was more cost-effective than exclusive formula feeding. These findings merit review of current infant feeding guidelines for mothers with HIV living in high-income countries.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".