ArticleOne health (Amsterdam, Netherlands)2021
Quantitatively evaluating the cross-sectoral and One Health impact of interventions: A scoping review and case study of antimicrobial resistance.
Article in One health (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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Who cites it
14 citing papers in PubMed.
- Antimicrobial Consumption and Resistance Dynamics Across Healthcare Level: Global Evidence and Stewardship Implications.Pathogens (Basel, Switzerland) · 2026Review
- One Health antimicrobial resistance modelling: from science to policy.Science in One Health · 2026Review
- Systematic review on evaluation tools applicable to One Health surveillance systems: A call for adapted methodology.One health (Amsterdam, Netherlands) · 2025Review
- Awareness and capacities of 103 countries to address antimicrobial resistance from 2017 to 2020.Scientific reports · 2024Article
- Navigating One Health in research-for-development: Reflections on the design and implementation of the CGIAR Initiative on One Health.One health (Amsterdam, Netherlands) · 2024Article
- Current evidence of the economic value of One Health initiatives: A systematic literature review.One health (Amsterdam, Netherlands) · 2024Review
- AHHME: A model for estimating the holistic cost-effectiveness of antimicrobial resistance interventions in food animal production.One health (Amsterdam, Netherlands) · 2023Article
- The WHO costing and budgeting tool for national action plans on antimicrobial resistance-a practical addition to the WHOle toolkit.JAC-antimicrobial resistance · 2023Article
- Antimicrobial Resistance in the Global Health Network: Known Unknowns and Challenges for Efficient Responses in the 21st Century.Microorganisms · 2023Review
- An agent-based model for collaborative learning to combat antimicrobial resistance: proof of concept based on broiler production in Senegal.Science in One Health · 2023Article
- Establishment of an indicator framework for global One Health Intrinsic Drivers index based on the grounded theory and fuzzy analytical hierarchy-entropy weight method.Infectious diseases of poverty · 2022Article
- Changing food systems and infectious disease risks in low-income and middle-income countries.The Lancet. Planetary health · 2022Review
- How are large-scale One Health initiatives targeting infectious diseases and antimicrobial resistance evaluated? A scoping review.One health (Amsterdam, Netherlands) · 2022Article
- Quantifying the Relationship between Antibiotic Use in Food-Producing Animals and Antibiotic Resistance in Humans.Antibiotics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundCurrent frameworks evaluating One Health (OH) interventions focus on intervention-design and -implementation. Cross-sectoral impact evaluations are needed to more effectively tackle OH-issues, such as antimicrobial resistance (AMR). We aimed to describe quantitative evaluation methods for interventions related to OH and cross-sectoral issues, to propose an explicit approach for evaluating such interventions, and to apply this approach to AMR.
methodsA scoping review was performed using WebofScience, EconLit, PubMed and gray literature. Quantitative evaluations of interventions that had an impact across two or more of the human, animal and environment sectors were included. Information on the interventions, methods and outcome measures found was narratively summarised. The information from this review informed the construction of a new approach to OH-related intervention evaluation, which then was applied to the field of AMR.
resultsThe review included 90 studies: 73 individual evaluations (from 72 papers) and 18 reviews, with a range of statistical modelling (
conclusionIn conclusion, stakeholder objectives are key in establishing which evaluation methods (and associated outcome measures) should be used for OH-related interventions. The stated multi-level approach also allows for sub-systems to be modelled in succession, where resources are constrained.
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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.