ArticleInternal medicine journal2025
Antimicrobial stewardship in regional hospitals: a human factors evaluation of barriers and facilitators and the role of technology.
Article in Internal medicine journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Bridging the Gap Between Strategy and Implementation in Antimicrobial Stewardship: Insights from the ARCO Step II Interregional Delphi Consensus in Northeastern Italy.Microorganisms · 2026Article
- Knowledge, Practices, and Attitudes Regarding Antimicrobial Resistance and Antibiotic Use Among Hospital Staff: Findings from a Two-Round Cross-Sectional Survey in an Italian Tertiary Care Hospital.Antibiotics (Basel, Switzerland) · 2026Article
- The latent system factors that influence antimicrobial use and governance in healthcare: a scoping review of high-income health systems.EClinicalMedicine · 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
7 authors.
Funding
Abstract
backgroundAntimicrobial stewardship (AMS) programmes aim to optimise antimicrobial prescribing. Regional hospitals have reduced access to resources that are essential for conducting AMS initiatives. Technology has the potential to reduce these challenges if implemented and used effectively.
objectiveIdentify the barriers and facilitators to successful AMS programmes in two regional hospitals in Australia and explore the role technology played in supporting AMS.
methodsA contextual inquiry methodological approach was used, including observations and semi-structured interviews with AMS team members in two regional hospitals in Australia.
resultsObservations were conducted for 27.5 h and interviews were performed with all AMS team members (n = 4). Electronic medication management and an antimicrobial dashboard were reported to make AMS processes efficient and information accessible. The use of multiple computerised systems and poor interoperability hindered AMS work processes. Executive support, resourcing and building rapport through in-person interactions were reported to influence the success of AMS programmes. Passionate and motivated infectious diseases (ID) consultants drove AMS programmes by building rapport with stakeholders and advocating for resources. COVID-19 was viewed as a facilitator of AMS as it increased the visibility of ID consultants, resulting in improved relationships and additional resources.
conclusionsUsing a small number of interoperable systems can enhance AMS, with tools such as an antimicrobial dashboard proving beneficial for remotely accessing information and reviewing antimicrobials in peripheral hospitals. Essential components for effective AMS programmes include supportive hospital executives and adequate staff resources. Sustaining AMS in regional settings relies on committed ID doctors and strong interdepartmental relationships.
Indexed as
Identifiers
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.