Evidence map›Paper›PMID 39315344›Full record

ArticleCanadian journal of kidney health and disease2024

Characteristics and Practices of High-Performing Centers in Organ Donor Identification and Referral: A Qualitative Study.

Leahora Rotteau, Samuel Vaillancourt, Mercedes Magaz, Lisha Lo, Brian M Wong, Jehan Lalani, Sam D Shemie, Samara Zavalkoff

Abstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2024. 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

8 authors.

Leahora RotteauCentre for Quality Improvement and Patient Safety, Temerty Faculty of Medicine, University of Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-1251-1073
Samuel VaillancourtDepartment of Emergency Medicine, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, ON, Canada.
Mercedes MagazCentre for Quality Improvement and Patient Safety, Temerty Faculty of Medicine, University of Toronto, ON, Canada.
Lisha LoCentre for Quality Improvement and Patient Safety, Temerty Faculty of Medicine, University of Toronto, ON, Canada.
Brian M WongCentre for Quality Improvement and Patient Safety, Temerty Faculty of Medicine, University of Toronto, ON, Canada.
Jehan LalaniDivision of Critical Care, Department of Pediatrics, McGill University, Montreal, QC, Canada.
Sam D ShemieDivision of Critical Care, Department of Pediatrics, McGill University, Montreal, QC, Canada.
Samara ZavalkoffDivision of Critical Care, Department of Pediatrics, McGill University, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The identification and referral (ID&R) of potential organ donors to provincial organ donation organizations (ODOs) is a critical first step in the organ donation process. However, even in provinces with mandatory referral legislation, there remains variability in ID&R rates across critical care units, with some units demonstrating high performance despite experiencing similar constraints associated with existing structures, policies, and practices. Objective: We sought to identify the enablers and specific strategies that high-performing critical care units leveraged to achieve their exceptional performance. Design: We conducted a descriptive qualitative study to inform ID&R improvement efforts as part of a positive deviance initiative. Setting: We identified three high-performing critical care units as study sites. Participants: Clinicians working in identified critical care units. Methods: At each site, we interviewed clinical team members about their perceptions and experiences of ID&R. Data analysis followed a thematic analysis approach. Results: We outline three themes describing how the high-performing hospitals achieve strong ID&R practices. First, all units demonstrated a high degree of integration between the concepts of high-quality end-of-life care and organ donation. Team members were consistently notified of successful transplants stemming from their unit, and all missed ID&Rs were tracked and discussed. Second, participants described a team approach with strong medical leadership, where all team members embrace their role in ensuring that no potential donor is missed. Finally, the units adopted strategies to support and simplify ID&R such as collectively simplifying triggers for referral, developing strong working relationships with provincial donor coordinators, and creating informal avenues of communication between clinicians and donor coordinators. Limitations: The lack of comparable data for potential organ donor referral rates across Canada impacted our ability to identify high-performing hospitals based on data. Instead, we contacted the ODOs directly to identify high-performing units that met our criteria. Second, our study sample was limited to three hospital sites from three different provinces and the three hospitals perform organ recovery and transplant on-site. Conclusion: Critical care units can adopt strategies and implement interventions to support ID&R improvement efforts. We provide examples informed by this study. We also highlight considerations that require attention when engaging in this work such as ensuring that all team members are aware of changes in care plans and physicians consistently engage in discussions about organ donation. Local medical leadership is critical to supporting these changes.

Indexed as

critical careorgan donationpositive deviancequalitative researchquality improvement

Identifiers

PMID39315344
PMCPMC11418359

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.