Evidence map›Paper›PMID 39252454›Full record

ArticleTransfusion medicine (Oxford, England)2025

Implementation challenges of electronic blood transfusion safety systems: Lessons from an international, multi-site comparative case study.

Stijn Horck, Nick Fahy, Trisha Greenhalgh

Abstract readMulticenter StudyComparative Study
In one paragraph

Article in Transfusion medicine (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Stijn HorckDepartment of Health Promotion, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0002-2147-821X
Nick FahyRAND Europe, Cambridge, UK.ORCID https://orcid.org/0000-0003-4957-0189
Trisha GreenhalghNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-2369-8088

Funding

ZonMw 165720001
6 · The paper itself

Abstract

backgroundSevere transfusion reactions resulting from errors in matching the correct blood with the correct patient are considered never events. Despite the relative technical simplicity of barcode scanning for patient-blood bag matching, the adoption and universal application of this safety measure are by no means universal. This study highlights the logistical and institutional challenges associated with spreading, scaling up, and sustaining such IT-supported safety measures in healthcare. STUDY DESIGN AND

methodsWe report findings from a 5-year, prospective, multi-site case study conducted across one hospital in England and three hospitals in the Netherlands. Ethnographic methods, including interviews and observations, were used at each site to investigate the implementation of barcode scanning-supported safety pathways for blood transfusions.

resultsSignificant variation was observed across the sites in the adoption and implementation of barcode scanning-supported safety pathways. Despite the potential for reducing transfusion errors, the introduction of this innovation was met with varying levels of success in different settings. DISCUSSION: This study highlights the critical role of inter-hospital learning and flexible system design in successfully implementing barcode scanning-supported safety pathways for blood transfusions. A more structured, national-level network for knowledge sharing could enhance the spread and sustainability of such innovations across healthcare settings.

Indexed as

Blood SafetyBlood TransfusionElectronic Data ProcessingEnglandHumansNetherlandsProspective Studiesbedside‐scanningimplementationorganisational learning

Identifiers

PMID39252454
PMCPMC11833216

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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.