Evidence map›Paper›PMID 42046209›Full record

ArticleJournal of primary care & community health

"These Documents Are Only as Good as the People Who Read and Use Them": A Phased Evaluation of Knowledge Translation Practices in Virtual Health.

Megan MacPherson, Maria Montenegro, Mahabhir Kandola

Abstract read
In one paragraph

Article in Journal of primary care & community health. 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

3 authors.

Megan MacPhersonUniversity of British Columbia, Vancouver, Canada.ORCID 0000-0001-7907-1394
Maria MontenegroFraser Health Authority, Surrey, BC, Canada.ORCID 0009-0006-0710-8219
Mahabhir KandolaFraser Health Authority, Surrey, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhen healthcare research evidence is not used in practice, this can lead to reduced quality of life for patients and inefficient resource allocation for services. Knowledge translation (KT) aims to bridge this gap by ensuring research reaches the right users at the right time. This study focuses on evaluating KT products and dissemination strategies within the Fraser Health Authorities Virtual Health Department to improve the uptake and sustainability of evidence-informed decision-making.

methodsThis study was conducted in 3 phases: (1) a rapid review to identify KT strategies relevant to the Virtual Health Department, (2) a survey to evaluate preferences among the Virtual Health Department, and (3) qualitative interviews to gather insights on the use and improvement of KT products. Descriptive statistics were used to summarize survey data, and thematic analysis was applied to interview transcripts.

resultsThe rapid review identified 37 relevant KT strategies. Survey results indicated a preference for practical and visually appealing KT products such as checklists, infographics, and how-to guides. Qualitative interviews highlighted barriers such as capacity constraints and content overload, but also successes in building confidence and improving work practices.

conclusionsEffective KT strategies are essential for integrating research into practice. The study's findings suggest that tailored, user-friendly KT products and ongoing engagement with end-users can enhance the uptake of research evidence. Future efforts should focus on embedding KT activities into organizational workflows and improving the accessibility of KT products.

Indexed as

Translational Research, BiomedicalDigital HealthHumansInterviews as TopicQualitative ResearchSurveys and Questionnairesclinical decision support systemsefficiencyqualitative methodsquality improvementtele-medicine

Identifiers

PMID42046209
PMCPMC13133460

What OpenQuestion holds

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LicenceCC BY-NC
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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.