Evidence map›Paper›PMID 27578195›Full record

ArticleHealth research policy and systems2016

Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation.

Emily K Jenkins, Anita Kothari, Vicky Bungay, Joy L Johnson, John L Oliffe

Abstract read
In one paragraph

Article in Health research policy and systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  3. A Narrative Inquiry of East Asian Parents and Mental Health in Canada: Critical Openings for Anti-Racism Strategies in Knowledge Translation.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2025
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  12. How is knowledge shared in Public involvement? A qualitative study of involvement in a health technology assessment.Health expectations : an international journal of public participation in health care and health policy · 2020
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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

5 authors.

Emily K JenkinsUniversity of British Columbia, School of Nursing, T201-2211 Wesbrook Mall, Vancouver, British Columbia, V6T 2B5, Canada. emily.jenkins@ubc.ca.
Anita KothariWestern University, School of Health Studies, Arthur and Sonia Labatt Health Sciences Building, Rm. 222, London, Ontario, N6A 5B9, Canada.
Vicky BungayUniversity of British Columbia, School of Nursing, T201-2211 Wesbrook Mall, Vancouver, British Columbia, V6T 2B5, Canada.
Joy L JohnsonSimon Fraser University, Office of the Vice-President, Research, 8888 University Drive, Burnaby, British Columbia, V5A 1S6, Canada.
John L OliffeUniversity of British Columbia, School of Nursing, T201-2211 Wesbrook Mall, Vancouver, British Columbia, V6T 2B5, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuch of the research and theorising in the knowledge translation (KT) field has focused on clinical settings, providing little guidance to those working in community settings. In this study, we build on previous research in community-based KT by detailing the theory driven and empirically-informed CollaboraKTion framework.

methodsA case study design and ethnographic methods were utilised to gain an in-depth understanding of the processes for conducting a community-based KT study as a means to distilling the CollaboraKTion framework. Drawing on extensive field notes describing fieldwork observations and interactions as well as evidence from the participatory research and KT literature, we detail the processes and steps undertaken in this community-based KT study as well as their rationale and the challenges encountered. In an effort to build upon existing knowledge, Kitson and colleagues' co-KT framework, which provides guidance for conducting KT aimed at addressing population-level health, was applied as a coding structure to inform the current analysis. This approach was selected because it (1) supported the application of an existing community-based KT framework to empirical data and (2) provided an opportunity to contribute to the theory and practice gaps in the community-based KT literature through an inductively derived empirical example.

resultsAnalysis revealed that community-based KT is an iterative process that can be viewed as comprising five overarching processes: (1) contacting and connecting; (2) deepening understandings; (3) adapting and applying the knowledge base; (4) supporting and evaluating continued action; and (5) transitioning and embedding as well as several key elements within each of these processes (e.g. building on existing knowledge, establishing partnerships). These empirically informed theory advancements in KT and participatory research traditions are summarised in the CollaboraKTion framework. We suggest that community-based KT researchers place less emphasis on enhancing uptake of specific interventions and focus on collaboratively identifying and creating changes to the contextual factors that influence health outcomes.

conclusionsThe CollaboraKTion framework can be used to guide the development, implementation and evaluation of contextually relevant, evidence-informed initiatives aimed at improving population health, amid providing a foundation to leverage future research and practice in this emergent KT area.

Indexed as

Community-Based Participatory ResearchCooperative BehaviorPatient ParticipationPublic HealthResearch DesignResidence CharacteristicsTranslational Research, BiomedicalAdolescentEvidence-Based PracticeHealth Knowledge, Attitudes, PracticeHumansKnowledgeCommunityCommunity-based knowledge translationFrameworkIntegrated knowledge translationKnowledge translationPopulation healthPublic health

Identifiers

PMID27578195
PMCPMC5006543

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.