Evidence map›Paper›PMID 41811642›Full record

ArticleCJEM2026

Interhospital transfers from the emergency department: a mixed-methods study on their characteristics and contextual factors influencing their quality.

Fabian Severino, Maria-Cécilia Gallani, Éric Mercier, Jean-Sébastien Tremblay-Roy, Simon Ouellet, Louis Félix Poulin-Moore, Laurence Bourque, Alexandra Lapierre, Christian Malo, Mélanie Bérubé

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Article in CJEM, 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

10 authors.

Fabian SeverinoFaculty of Nursing, Université Laval, Quebec City, QC, Canada. Fabian.severino@gmail.com.ORCID http://orcid.org/0000-0002-6742-3097
Maria-Cécilia GallaniFaculty of Nursing, Université Laval, Quebec City, QC, Canada.ORCID http://orcid.org/0000-0002-3418-9134
Éric MercierPopulation Health and Optimal Practices Research Unit Research Unit, Research Center of the CHU de Québec-Université Laval, Quebec City, QC, Canada.ORCID http://orcid.org/0000-0003-4365-2220
Jean-Sébastien Tremblay-RoyDepartment of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID http://orcid.org/0000-0001-5888-6009
Simon OuelletDepartment of Health Sciences, Université du Québec à Rimouski (UQAR), Rimouski, QC, Canada.ORCID http://orcid.org/0000-0001-5572-7504
Louis Félix Poulin-MooreCoopérative des Techniciens Ambulanciers du Québec, Québec, QC, Canada.
Laurence BourquePopulation Health and Optimal Practices Research Unit Research Unit, Research Center of the CHU de Québec-Université Laval, Quebec City, QC, Canada.ORCID http://orcid.org/0000-0002-0667-3674
Alexandra LapierrePopulation Health and Optimal Practices Research Unit Research Unit, Research Center of the CHU de Québec-Université Laval, Quebec City, QC, Canada.ORCID http://orcid.org/0000-0002-8704-4940
Christian MaloCHU de Québec-Université Laval, Quebec City, QC, Canada.ORCID http://orcid.org/0000-0003-3479-2598
Mélanie BérubéFaculty of Nursing, Université Laval, Quebec City, QC, Canada.ORCID http://orcid.org/0000-0002-6657-3915

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDespite an increase in interhospital transfers and the safety risks they represent for patients, little is known about the quality of clinical practices in this field. This study aimed to characterize interhospital transfers by ambulance from the Emergency Departments (ED) of a university hospital and clinicians' perceptions on barriers and facilitators to quality interhospital transfers.

methodsThis single-center, prospective descriptive study used a convergent mixed-methods design and was conducted in two phases between May and December 2023. The study was informed by the Donabedian Model for quality improvement and its structure, process and outcomes domains. Quantitative data were collected from the medical records of transferred ED patients and qualitative data from semi-structured interviews with multidisciplinary clinicians involved in interhospital transfers. Descriptive statistics (quantitative) and content analysis (qualitative) were conducted.

resultsCharacteristics: a total of 72 interhospital transfers were evaluated, with 86.1% carried out for specialized treatment. A nurse accompanied 68.1% of the transfers and respiratory and intravenous equipment was used in about 40% of them. Mean total transfer time was 64.8 (± 20.4) minutes and medication adjustments were performed in 20% of transports supervised by nurses. Among the 57 transfers with complete data, 37 (64.9%) adverse events were observed; 49.1% clinical, 12.3% logistical and 3.5% technical. The 11 interviewed clinicians identified several barriers impacting the quality of interhospital transfers including: equipment issues, insufficient organizational resources, insufficiently prepared patients, and the overall complexity of the transfer process. To address these challenges, they proposed developing specialized expertise, enhancing standardization, establishing multidisciplinary transfer teams dedicated to transfers and integrating paramedics more effectively into the process.

conclusionsThis study characterized ED interhospital transfers and the key barriers and facilitators to quality care as perceived by clinicians. Logistical and organizational challenges were highlighted. These findings can inform future quality improvement initiatives targeting interhospital transfer practices.

Indexed as

Emergency Service, HospitalPatient TransferQuality ImprovementFemaleHumansMaleProspective StudiesCritically illEmergency medicineInterhospital transferMixed-method researchPatient safetyPrehospital

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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.