Prioritization of interventions to reduce antimicrobial use in dairy cows: a multicriteria decision analysis

This dataset accompanies the multicriteria decision analysis (MCDA) presented in the article : It was developed to prioritize interventions aimed at reducing the emergence and dissemination of antimicrobial-resistant microorganisms from Québec’s dairy sector, using the PROMETHEE-GAIA method implemented in D-Sight software. The dataset contains the performance (impact) matrix of interventions across evaluation criteria, as well as stakeholder weighting files for three decision scenarios reflecting different perspectives: CURRENT scenario: Based on the current context and stakeholders’ real-world priorities. ANIMAL THREAT scenario: a hypothetical situation where there is a 50% increase in resistance to first-line AMs used to treat mastitis and/or respiratory diseases in dairy cattle PUBLIC THREAT scenario: hypothetical situation where human mortality attributable to AMR increased by approximately 2.5 times Each file is in .xlsx format and compatible with D-Sight (v3.3.2 and v6.6). All data have been anonymized and aggregated to protect participant confidentiality. 📁 Files Included Impact_Matrix.xlsx Contains the performance (impact) scores of all interventions across evaluation criteria (human health, animal health, environmental, economic, social, and operational dimensions). Scores were derived from literature synthesis and expert assessments. Weights_CurrentScenario.xlsx : Criteria weights elicited from stakeholders under the Current context, reflecting present-day priorities. Weights_AnimalThreatScenario.xlsx : Criteria weights under a Farm Threat scenario. Weights_PublicThreatScenario.xlsx Criteria weights under a Public Health Threat scenario. ⚙️ Methodology Summary The MCDA framework integrates human, animal, environmental, social, economic, and operational dimensions to operationalize a One Health approach to AMR decision-making. Criteria and interventions were co-developed through a participatory process involving producers, veterinarians, industry representatives, and public authorities. Analyses were performed using the PROMETHEE II ranking algorithm and GAIA decision maps in D-Sight. Sensitivity analyses were conducted to evaluate robustness to changes in weights and scoring uncertainty. 📚 Suggested Citation Millar, N. (2025). Multi-criteria Decision Analysis (MCDA) on Interventions to Limit Antimicrobial Resistance Dissemination in the Québec Dairy Sector [Data set]. Université de Montréal – Dataverse. https://doi.org/xxxxx