Evidence map›Paper›PMID 34727926›Full record

ArticleHealth research policy and systems2021

Trainee-led research using an integrated knowledge translation or other research partnership approaches: a scoping reviews.

Christine E Cassidy, Hwayeon Danielle Shin, Emily Ramage, Aislinn Conway, Kelly Mrklas, Celia Laur, Amy Beck, Melissa Demery Varin, Sandy Steinwender, Tram Nguyen and 4 more

Abstract readScoping Review
In one paragraph

Article in Health research policy and systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

14 authors.

Christine E CassidySchool of Nursing, Dalhousie University, Halifax, NS, Canada. ccassidy@dal.ca.ORCID http://orcid.org/0000-0001-7770-5058
Hwayeon Danielle ShinSchool of Nursing, Dalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0003-4037-4464
Emily RamageSchool of Health Sciences, University of Newcastle, Callaghan, Australia.ORCID http://orcid.org/0000-0002-0599-7028
Aislinn ConwayBetter Outcomes and Registry Network (BORN), Ottawa, ON, Canada.ORCID http://orcid.org/0000-0002-7566-3138
Kelly MrklasAlberta Health Services Foothills Medical Centre, Calgary, AB, Canada.
Celia LaurInstitute for Health System Solutions and Virtual Care, Women's College Hospital, Toronto, Canada.ORCID http://orcid.org/0000-0003-4555-1407
Amy BeckFaculty of Nursing, University of Calgary, Calgary, AB, Canada.ORCID http://orcid.org/0000-0001-8703-6951
Melissa Demery VarinSchool of Nursing, University of Ottawa, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0002-7103-3622
Sandy SteinwenderHealth Information Science, Western University, London, ON, Canada.
Tram NguyenSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Jodi LangleySchool of Health and Human Performance, Dalhousie University, Halifax, NS, Canada.
Rachel DoreyDalhousie University, Halifax, NS, Canada.
Lauren DonnellyDalhousie University, Halifax, NS, Canada.
Ilja OrmelDepartment of Family Medicine, McGill University, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are increasing expectations for researchers and knowledge users in the health system to use a research partnership approach, such as integrated knowledge translation, to increase the relevance and use of research findings in health practice, programmes and policies. However, little is known about how health research trainees engage in research partnership approaches such as IKT. In response, the purpose of this scoping review was to map and characterize the evidence related to using an IKT or other research partnership approach from the perspective of health research trainees in thesis and/or postdoctoral work.

methodsWe conducted this scoping review following the Joanna Briggs Institute methodology and Arksey and O'Malley's framework. We searched the following databases in June 2020: MEDLINE, Embase, CINAHL and PsycINFO. We also searched sources of unpublished studies and grey literature. We reported our findings in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews.

resultsWe included 74 records that described trainees' experiences using an IKT or other research partnership approach to health research. The majority of studies involved collaboration with knowledge users in the research question development, recruitment and data collection stages of the research process. Intersecting barriers to IKT or other research partnerships at the individual, interpersonal and organizational levels were reported, including lack of skills in partnership research, competing priorities and trainees' "outsider" status. We also identified studies that evaluated their IKT approach and reported impacts on partnership formation, such as valuing different perspectives, and enhanced relevance of research.

conclusionOur review provides insights for trainees interested in IKT or other research partnership approaches and offers guidance on how to apply an IKT approach to their research. The review findings can serve as a basis for future reviews and primary research focused on IKT principles, strategies and evaluation. The findings can also inform IKT training efforts such as guideline development and academic programme development.

Indexed as

Research PersonnelTranslational Research, BiomedicalHumansKnowledgeCollaborative researchHealth researchIntegrated knowledge translationPartnership approachesResearch trainees

Identifiers

PMID34727926
PMCPMC8561363

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.