Evidence map›Paper›PMID 41547893›Full record

ArticleAntimicrobial resistance and infection control2026

Preventing bloodstream infections through effective surveillance, AUDIT and FEEDBACK: evaluation of a 20-year hospital program using a TYPE I hybrid design.

Gregory Merlo, Belinda Henderson, Louise Marquart-Wilson, Elizabeth Underwood, Matthew McDonnell, Naomi Runnegar, Margaret Lindsay, Fiona Caristo, Paola Vasquez Vasquez, Geoffrey Playford and 1 more

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Gregory MerloSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0001-9931-7830
Belinda HendersonSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0003-4931-6850
Louise Marquart-WilsonSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0003-4607-9060
Elizabeth UnderwoodSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0003-1196-4131
Matthew McDonnellPrincess Alexandra Hospital, Brisbane, QLD, Australia.
Naomi RunnegarPrincess Alexandra Hospital, Brisbane, QLD, Australia.ORCID 0000-0002-3876-7907
Margaret LindsayPrincess Alexandra Hospital, Brisbane, QLD, Australia.
Fiona CaristoSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.
Paola Vasquez VasquezSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.
Geoffrey PlayfordPrincess Alexandra Hospital, Brisbane, QLD, Australia.ORCID 0000-0002-9309-9315
Lisa HallSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia. l.hall3@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBloodstream infections (BSIs) are a leading cause of healthcare-associated morbidity and mortality, with a significant portion being preventable. Despite this, BSIs remain common, particularly in Australian hospitals. Princess Alexandra Hospital (PAH) in Queensland has implemented a surveillance program that focuses on the preventability of BSIs, with continuous loop, real-time audit-feedback to teach clinicians about preventable factors and possible actions. This study evaluated the program's implementation and impact on reducing infections.

methodsA Type I hybrid implementation-effectiveness design was used, combining interrupted time series analysis of BSI data from 2002 to 2023 and focus group discussions with the Infection Management Service team members and ward-based clinicians. Interrupted time series analysis was used to assess the impact of the Staphylococcus aureus bacteraemia (SAB) prevention initiative introduced in November 2011. Statistical analysis employed segmented regression using negative binomial regression with robust standard errors. Focus group data were analysed via the Consolidated Framework for Implementation Research (CFIR).

resultsThe intervention resulted in an immediate, but non-significant, reduction in SAB monthly rates (incidence rate ratio, IRR = 0.839, 95% CI: 0.653-1.078), and a declining trend in monthly rates was also noted postintervention (IRR = 0.998, 95% CI: 0.996-1.000). Focus group feedback identified enablers, including effective collaboration and challenges such as needing to address inconsistent documentation and differing perceptions of the program's intent. DISCUSSION: The program's focus on preventability was associated with a reduction in SAB rates and a sustained downward trend over time. While these changes did not reach conventional thresholds for statistical significance, the magnitude and direction of effects, together with qualitative feedback on improved collaboration and targeted prevention strategies, indicate potential for broader application.

Indexed as

BacteremiaCross InfectionInfection ControlStaphylococcal InfectionsFeedbackFocus GroupsHospitalsHumansInterrupted Time Series AnalysisProgram EvaluationQueenslandStaphylococcus aureus

Identifiers

PMID41547893
PMCPMC12895645

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LicenceCC BY-NC-ND
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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.