Evidence map›Paper›PMID 32885203›Full record

ArticleImplementation science communications2020

Improving KT tools and products: development and evaluation of a framework for creating optimized, Knowledge-activated Tools (KaT).

Monika Kastner, Julie Makarski, Leigh Hayden, Yonda Lai, Joyce Chan, Victoria Treister, Kegan Harris, Sarah Munce, Jayna Holroyd-Leduc, Ian D Graham and 1 more

Abstract read
In one paragraph

Article in Implementation science communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
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

11 authors.

Monika KastnerNorth York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.
Julie MakarskiNorth York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.
Leigh HaydenNorth York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.
Yonda LaiLi Ka Shing Knowledge Institute of St. Michael's hospital, University of Toronto, 30 Bond Street, Toronto, ON M5B 1W8 Canada.
Joyce ChanNorth York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.
Victoria TreisterLi Ka Shing Knowledge Institute of St. Michael's hospital, University of Toronto, 30 Bond Street, Toronto, ON M5B 1W8 Canada.
Kegan HarrisNorth York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.
Sarah MunceUniversity Health Network, Toronto, Ontario Canada.
Jayna Holroyd-LeducDepartments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta Canada.
Ian D GrahamSchool of Epidemiology and Public Health, Clinical Epidemiology Program, University of Ottawa and Ottawa Hospital Research Institute, Ottawa, Ontario Canada.
Sharon E StrausLi Ka Shing Knowledge Institute of St. Michael's hospital, University of Toronto, 30 Bond Street, Toronto, ON M5B 1W8 Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPositive impacts of quality improvement initiatives on health care and services have not been substantial. Knowledge translation (KT) strategies (tools, products and interventions) strive to facilitate the uptake of knowledge thereby the potential to improve care, but there is little guidance on

methodsWe conducted a 3-phase study. In phase 1, we used several sources to develop a conceptual framework for creating optimized Knowledge-activated Tools (KaT) (consultation with our integrated KT team, the use of existing KT models and frameworks, findings of a systematic review of multimorbidity interventions and a literature review and document analysis on existing KT guidance tools). In phase 2, we invited KT experts to participate in a Delphi study to refine and evaluate the conceptual KaT framework. In phase 3, we administered an online survey to knowledge users (researchers, clinicians, decision-makers, trainees) to evaluate the potential usefulness of an online mock-up version of the KaT framework.

resultsWe developed the conceptual KaT framework, and iteratively refined it with 35 KT experts in a 3-round Delphi study. The final framework represents the blueprint for what is needed to create KT strategies. Feedback from 201 researcher, clinician, decision-maker and trainee knowledge users on the potential need and usefulness of an online, interactive version of KaT indicated that they liked the idea of it (mean score 4.36 on a 5-point Likert scale) and its proposed features (mean score range 4.30-4.79).

conclusionsOur findings suggest that mostly Canadian KT experts and knowledge users perceived the KaT framework and the future development of an online, interactive version to be important and needed. We anticipate that the KaT framework will provide clarity for knowledge users about

Indexed as

Delphi studyFrameworkKnowledge translationKnowledge user needsKT tools, InterventionsSurvey

Identifiers

PMID32885203
PMCPMC7427906

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.