Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 331

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Development of a framework for knowledge translation: understanding user context

Jacobson, Nora, Butterill, Dale, Goering, Paula·2003·Journal of Health Services Research & Policy
DOI 10.1258/135581903321466067
Open this paper in CoChat — free account

Abstract

Objective: To develop a framework that researchers and other knowledge disseminators who are embarking on knowledge translation can use to increase their familiarity with the intended user groups. Methods: The framework was derived from a review and analysis of the knowledge translation literature and from the authors' own experience with a variety of user groups. Results: The framework consists of five domains: the user group, the issue, the research, the knowledge translation relationship, and dissemination strategies. Within each domain, the framework includes a series of questions. The questions provide the researcher with a way of organizing what he or she already knows about the user group and the knowledge translation project, of identifying what still is unknown, and of flagging what is important to learn. Conclusions: Most researchers wishing to engage in knowledge translation are moving out of their own familiar contexts. By using this framework, researchers will learn about the new contexts in which they find themselves. The insights they gain will increase their familiarity with the user group, thus aiding in the implicit goal of the interactive model of knowledge translation: making the researcher a part of the user group context.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1258/135581903321466067

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 21 references

Cited by

Metadata

Authors
Jacobson, N., Butterill, D., & Goering, P.
Venue
Journal of Health Services Research & Policy
Publisher
SAGE Publications
Published
2003-04-01
Volume
8
Issue
2
Pages
94-99
ISSN
  • 1355-8196 (ISSN-L)
  • 1758-1060
DOI
10.1258/135581903321466067
OpenAlex
W2127435700
Cited by
331
References
21
FWCI
10.87
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.