ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2026
Cost-utility and cost-effectiveness analysis of an AI-driven platform for standard postnatal care and breastfeeding: results from the COMLACT study.
Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05432700 (Randomised Clinical Trial for Evaluation of the Effectiveness of a Mobile Application in the Improvement of Breastfeeding up to 6 Months), which is not on this map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Randomised Clinical Trial for Evaluation of the Effectiveness of a Mobile Application in the Improvement of Breastfeeding up to 6 Months
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess whether an AI-driven technology for neonatal care is costeffective compared to usual primary care in improving women's health-related quality of life and breastfeeding self-efficacy.
methodsWe conducted a cost-effectiveness analysis from the perspective of the healthcare payer, families, and society. Data from a randomised controlled trial with a six-month follow-up were used to obtain utility values and breastfeeding self-efficacy. Missing values were handled using multiple imputations by chained equations, and a complete case analysis was conducted as a sensitivity analysis. Incremental cost and effect differences were adjusted using seemingly unrelated regression, based on baseline participant characteristics.
resultsThe study included 174 women (mean age 33 years), 91% of whom were from European countries, recruited from Spanish primary care centres. Direct healthcare costs (€87.64) accounted for 35% of total costs (€248.50), while breastfeeding-related material costs (€146.26) represented the highest family expenses during follow-up. After adjusting for baseline covariates, the ICUR was €3,363/QALY from the healthcare payer's perspective and €2,964/QALY from the societal perspective, respectively. A slight cost-saving was observed from the family perspective (€ - 2.49, 95% CI: - 67.76 to 63.77), with minimal improvements in healthrelated quality of life (0.01, 95% CI: - 0.02 to 0.03) and slight worsening in breastfeeding self-efficacy scores (- 1.49, 95% CI: - 5.57 to 2.60) but with no clinical relevance.
conclusionsThe mobile app's ICURs were below the commonly used European cost-effectiveness thresholds, due to a slight improvement in the health-related quality of life and low direct healthcare costs from the family perspective. However, usual care dominated the mobile app for improving breastfeeding self-efficacy, regardless of the cost perspective. TRIAL REGISTRATION NUMBER (CLINICALTRIALS.GOV): NCT05432700, prospectively registered.
Indexed as
Identifiers
42747733What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.