Evidence map›Paper›PMID 33893502›Full record

SynthesisThe Journal of antimicrobial chemotherapy2021

Variation in approaches to antimicrobial use surveillance in high-income secondary care settings: a systematic review.

Selina Patel, Arnoupe Jhass, Ann Slee, Susan Hopkins, Laura Shallcross

Abstract readSystematic Review
In one paragraph

Synthesis in The Journal of antimicrobial chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Epidemiology and antimicrobial resistance trends ofFrontiers in public health · 2023
    Article
  5. Article
  6. Observational
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

5 authors.

Selina PatelInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0001-7309-1917
Arnoupe JhassResearch Department of  Primary Care & Population Health, University College London, London, UK.ORCID 0000-0003-3936-2976
Ann SleeNHS England, London, UK.
Susan HopkinsPublic Health England, London, UK.
Laura ShallcrossInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0003-1713-2555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn secondary care, antimicrobial use (AMU) must be monitored to reduce the risk of antimicrobial resistance and infection-related complications. However, there is variation in how hospitals address this challenge, partly driven by each site's level of digital maturity, expertise and resources available. This systematic review investigated approaches to measuring AMU to explore how these structural differences may present barriers to engagement with AMU surveillance.

methodsWe searched four digital databases and the websites of relevant organizations for studies in high-income, inpatient hospital settings that estimated AMU in adults. Excluded studies focused exclusively on antiviral or antifungal therapies. Data were extracted data on 12 fields (study description, data sources, data extraction methods and professionals involved in surveillance). Proportions were estimated with 95% CIs.

resultsWe identified 145 reports of antimicrobial surveillance from Europe (63), North America (53), Oceania (14), Asia (13) and across more than continent (2) between 1977 and 2018. Of 145 studies, 47 carried out surveillance based on digital data sources. In regions with access to electronic patient records, 26/47 studies employed manual methods to extract the data. The majority of identified professionals involved in these studies were clinically trained (87/93).

conclusionsEven in regions with access to electronic datasets, hospitals rely on manual data extraction for this work. Data extraction is undertaken by healthcare professionals, who may have conflicting priorities. Reducing barriers to engagement in AMU surveillance requires investment in methods, resources and training so that hospitals can extract and analyse data already contained within electronic patient records.

Indexed as

Anti-Infective AgentsSecondary Health CareAdultAnti-Bacterial AgentsHealth PersonnelHospitalsHumansAnti-Bacterial AgentsAnti-Infective Agents

Identifiers

PMID33893502
PMCPMC8283733

What OpenQuestion holds

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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.