ArticleBMJ global health2022
Electronic information systems for One Health surveillance of antimicrobial resistance: a systematic scoping review.
Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Establishing One Health Surveillance Platform for Electronic Integrated Disease Surveillance and Response in Malawi: Action Design Research Study.JMIR public health and surveillance · 2026Article
- OrgTRx: A Platform Developed in Queensland for the Extraction and Visualisation of Antimicrobial Susceptibility Data for the Surveillance of Resistance in Microorganisms.Antibiotics (Basel, Switzerland) · 2026Article
- Tackling Antimicrobial Resistance in the WHO African Region: Progress, Challenges, and Strategic Priorities for the Future.Health services insights · 2026Article
- Antimicrobial Resistance Profiles of Bacteria Isolated from the Animal Health Sector in Zambia (2020-2024): Opportunities to Strengthen Antimicrobial Resistance Surveillance and Stewardship Programs.Antibiotics (Basel, Switzerland) · 2025Article
- Review
- Characterizing approaches used to display antimicrobial resistance data in veterinary and human medicine: a scoping review.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- An Overview of the Recent Advances in Antimicrobial Resistance.Microorganisms · 2024Review
- Surveillance of Antimicrobial Resistance in the ECOWAS Region: Setting the Scene for Critical Interventions Needed.Antibiotics (Basel, Switzerland) · 2024Review
- Progress made in digitalizing antimicrobial resistance surveillance in a One Health approach in Kenya.Frontiers in public health · 2024Article
- One Health: Insights from Organizational & Social, Technology Assessment and Human Factors Perspectives.Yearbook of medical informatics · 2023Article
- Integrative Digital Tools to Strengthen Data Management for Antimicrobial Resistance Surveillance in the "One Health" Domain in Nepal.Tropical medicine and infectious disease · 2023Article
- Enhancing the nation's public health information infrastructure: a report from the ACMI symposium.Journal of the American Medical Informatics Association : JAMIA · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionElectronic information systems (EIS) that implement a 'One Health' approach by integrating antimicrobial resistance (AMR) data across the human, animal and environmental health sectors, have been identified as a global priority. However, evidence on the availability, technical capacities and effectiveness of such EIS is scarce.
methodsThrough a qualitative synthesis of evidence, this systematic scoping review aims to: identify EIS for AMR surveillance that operate across human, animal and environmental health sectors; describe their technical characteristics and capabilities; and assess whether there is evidence for the effectiveness of the various EIS for AMR surveillance. Studies and reports between 1 January 2000 and 21 July 2021 from peer-reviewed and grey literature in the English language were included.
results26 studies and reports were included in the final review, of which 27 EIS were described. None of the EIS integrated AMR data in a One Health approach across all three sectors. While there was a lack of evidence of thorough evaluations of the effectiveness of the identified EIS, several surveillance system effectiveness indicators were reported for most EIS. Standardised reporting of the effectiveness of EIS is recommended for future publications. The capabilities of the EIS varied in their technical design features, in terms of usability, data display tools and desired outputs. EIS that included interactive features, and geospatial maps are increasingly relevant for future trends in AMR data analytics.
conclusionNo EIS for AMR surveillance was identified that was designed to integrate a broad range of AMR data from humans, animals and the environment, representing a major gap in global efforts to implement One Health approaches to address AMR.
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Registered trials
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