ArticleFamily practice2025
Evaluation of antimicrobial resistance surveillance data sources in primary care setting: a scoping review.
Article in Family practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Antimicrobial Consumption and Resistance Dynamics Across Healthcare Level: Global Evidence and Stewardship Implications.Pathogens (Basel, Switzerland) · 2026Review
- Determinants of prescribing behaviour of antibacterial drugs in Europe and use of appropriate nomenclature in the literature.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Mechanisms, Significance, Detection and Emerging Therapies for Carbapenem-Resistant Enterobacterales: A Scoping Review.Journal of tropical medicine · 2026Review
- Hospital-Based Surveillance and Resistance Index Analysis of Antimicrobial Resistance Trends: A Three-Year Study from a Tertiary Hospital in Iran (2021-2023).Infection and drug resistance · 2026Article
- Review
- Activation of toll‑like receptors by non‑coding RNAs and their fragments (Review).Molecular medicine reports · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAntimicrobial resistance (AMR) is a global health warning that increases mortality, morbidity, and medical expenses. Effective AMR surveillance is essential to guide interventions and maintain treatment efficacy. While AMR surveillance is studied in various healthcare settings, data sources in primary care settings need to be evaluated.
aimTo identify the value of utilizing AMR surveillance data in primary care settings to inform community antimicrobial stewardship (AMS) practices.
methodsEligibility criteria included primary studies, randomized and nonrandomised controlled trials, observational studies, surveys, qualitative studies, mixed-method studies, and grey literature in primary care published worldwide from 2001 to 2024.
resultsOur review of 21 included studies emphasized the significance of utilizing AMR surveillance data to enhance clinical care. Clinicians need to better understand the local AMR pattern when prescribing primary care antibiotics. Despite limitations, educational interventions can change prescribing behaviour. AMR increased because local susceptibility data frequently did not inform empirical antibiotic treatment. Digital and geospatial platforms could enhance surveillance with institutional support and standardized data integration.
conclusionThis analysis highlights the need for user-friendly, real-time, and easily accessible data visualization platforms to improve AMR surveillance and AMS in primary care. Addressing data accessibility and providing training and education are crucial elements. Standardising data and utilizing digital technologies can improve decision-making and antibiotic prescribing. These elements must be incorporated into a consistent and adaptive plan for effective AMS interventions and public health outcomes.
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What 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.