Evidence map›Paper›PMID 42493809›Full record

ArticleResearch involvement and engagement2026

Co-design in action: lessons learned from transplant patient and family engagement in an integrated knowledge translation strategy during the COVID-19 pandemic.

Margherita Cameranesi, Sherrie Logan, Rienk de Vries, Manuel Escoto, Marie-Josée Hébert, Dima Kabbani, Caroline Piotrowski, Lori West, Patricia Gongal, Canadian Donation and Transplantation Research Program

Abstract readLetter
In one paragraph

Article in Research involvement and engagement, 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.

Margherita Cameranesi *Saint Mary's University, Halifax, NS, Canada.
Sherrie Logan *Canadian Donation and Transplantation Research Program, Edmonton, AB, Canada.
Rienk de VriesCanadian Donation and Transplantation Research Program, Edmonton, AB, Canada.
Manuel EscotoCanadian Donation and Transplantation Research Program, Edmonton, AB, Canada.
Marie-Josée HébertCanadian Donation and Transplantation Research Program, Edmonton, AB, Canada.
Dima KabbaniCanadian Donation and Transplantation Research Program, Edmonton, AB, Canada.
Caroline PiotrowskiCanadian Donation and Transplantation Research Program, Edmonton, AB, Canada.
Lori WestCanadian Donation and Transplantation Research Program, Edmonton, AB, Canada.
Patricia GongalCanadian Donation and Transplantation Research Program, Edmonton, AB, Canada. pgongal@ualberta.ca.
Canadian Donation and Transplantation Research Program

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic significantly impacted immunocompromised individuals, particularly transplant recipients. Despite their vulnerability, national- and international-level research often lacks direct input from this community. In response, the Canadian Donation and Transplantation Research Program (CDTRP) implemented an integrated knowledge translation (iKT) strategy that involved patient, family, and donor (PFD) partners as co-leads and decision makers throughout the research process.

methodsBeginning in 2022, CDTRP adapted a co-engagement model to identify research priorities and inform study design, conduct, and knowledge mobilization related to COVID-19 issues for transplant recipients. Diverse stakeholders, including researchers, clinicians, policymakers, trainees, transplant-focused organizations, and PFD partners, collectively co-developed the TREAT-COVID research project. In 2022-2023 CDTRP hosted a series of four national forums that were co-designed and co-facilitated by PFD co-leads, enabling shared decision making and iterative refinement of research priorities and strategies. This paper provides an overview of the iKT strategy implemented, including objectives, engagement processes, outputs, resulting study adaptations, and lessons learned.

resultsEach forum generated new insights and actionable changes. Forum 1 identified research priorities, including clinical therapeutics, psychosocial needs, quality of life, economic burden, and recovery-related supports. Forum 2 emphasized mental health and support for transplant recipients and their caregivers. Forum 3 identified the distinct but complementary priorities of transplant recipients and their caregivers, such as clinical care and mental wellness, respectively. Forum 4 addressed barriers to recruiting study participants and refined communication strategies. These forums collectively shaped the TREAT-COVID research project by informing study priorities, data collection tools, recruitment strategies, and knowledge mobilization.

conclusionsThis paper details the iKT strategy implemented by the CDTRP to engage diverse stakeholders in COVID-19-related research for transplant communities. Meaningful and structured patient and family involvement in national health research during a public health emergency was prioritized. By involving patient and family partners in governance, facilitation, study refinement, recruitment, and dissemination, CDTRP advanced a collaborative and equity-driven iKT model. The paper contributes an operational example of national-scale patient and family co-leadership in time-sensitive research.

Indexed as

Community healthCOVID-19Healthcare policyHealth equityIntegrated knowledge translationKnowledge mobilizationMental healthOrgan donationOrgan transplantationPatient and public involvementPatient engagementPatient-oriented research

Identifiers

PMID42493809
PMCPMC13393683

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.