Evidence map›Paper›PMID 37404278›Full record

ArticleFrontiers in public health2023

Users' perception of the OH-EpiCap evaluation tool based on its application to nine national antimicrobial resistance surveillance systems.

Pedro Moura, Lucie Collineau, Marianne Sandberg, Laura Tomassone, Daniele De Meneghi, Madelaine Norström, Houda Bennani, Barbara Häsler, Mélanie Colomb-Cotinat, Clémence Bourély and 7 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Pedro MouraNational Food Institute, Technical University of Denmark, Lyngby, Denmark.
Lucie CollineauUniversity of Lyon - French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Epidemiology and Surveillance Support Unit, Lyon, France.
Marianne SandbergNational Food Institute, Technical University of Denmark, Lyngby, Denmark.
Laura TomassoneDepartment of Veterinary Sciences, University of Turin, AgroVet campus, Grugliasco-Turin, Italy.
Daniele De MeneghiDepartment of Veterinary Sciences, University of Turin, AgroVet campus, Grugliasco-Turin, Italy.
Madelaine NorströmNorwegian Veterinary Institute, Ås, Norway.
Houda BennaniVeterinary Epidemiology Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, London, United Kingdom.
Barbara HäslerVeterinary Epidemiology Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, London, United Kingdom.
Mélanie Colomb-CotinatSanté publique Franced, Direction des maladies infectieuses, Saint Maurice, France.
Clémence BourélyFrench Ministry of Agriculture and Food, General Directorate for Food, Animal Health Unit, Paris, France.
Maria-Eleni FilippitziLaboratory of Animal Health Economics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Sarah MediouniFaculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Elena BorianiEB Consult, Hellebæk, Denmark.
Muhammad AsaduzzamanDepartment of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.
Manuela CaniçaNational Reference Laboratory of Antibiotic Resistances and Healthcare Associated Infections, Department of Infectious Diseases, National Institute of Health Dr. Ricardo Jorge, Lisbon, Portugal.
Cécile AenishaenslinFaculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Lis AlbanDepartment of Food Safety, Veterinary Issues and Risk Analysis, Danish Agriculture and Food Council, Copenhagen, Denmark.

Funding

CIHR
6 · The paper itself

Abstract

Introduction: Antimicrobial resistance (AMR) is a One Health (OH) challenge. To achieve or maintain an effective and efficient AMR surveillance system, it is crucial to evaluate its performance in meeting the proposed objectives, while complying with resource restrictions. The OH-EpiCap tool was created to evaluate the degree of compliance of hazard surveillance activities with essential OH concepts across the following dimensions: organization, operational activities, and impact of the surveillance system. We present feedback on the application of the OH-EpiCap tool from a user's perspective, based on the use of the tool to evaluate nine national AMR surveillance systems, each with different contexts and objectives. Methods: The OH-EpiCap was assessed using the updated CoEvalAMR methodology. This methodology allows the evaluation of the content themes and functional aspects of the tool and captures the user's subjective experiences via a strengths, weaknesses, opportunities, and threats (SWOT) approach. Results and Discussion: The results of the evaluation of the OH-EpiCap are presented and discussed. The OH-EpiCap is an easy-to-use tool, which can facilitate a fast macro-overview of the application of the OH concept to AMR surveillance. When used by specialists in the matter, an evaluation using OH-EpiCap can serve as a basis for the discussion of possible adaptations of AMR surveillance activities or targeting areas that may be further investigated using other evaluation tools.

Indexed as

Anti-Bacterial AgentsOne HealthDrug Resistance, BacterialPerceptionAnti-Bacterial Agentsantimicrobial consumption monitoringantimicrobial resistanceOne Healthsurveillance systemsystem evaluation

Identifiers

PMID37404278
PMCPMC10315896

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Registered trials

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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.