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Critical examination of knowledge to action models and implications for promoting health equity

Overview of attention for article published in International Journal for Equity in Health, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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18 X users
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3 Facebook pages

Citations

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53 Dimensions

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189 Mendeley
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Title
Critical examination of knowledge to action models and implications for promoting health equity
Published in
International Journal for Equity in Health, May 2015
DOI 10.1186/s12939-015-0178-7
Pubmed ID
Authors

Colleen M. Davison, Sume Ndumbe-Eyoh, Connie Clement

Abstract

Knowledge and effective interventions exist to address many current global health inequities. However, there is limited awareness, uptake, and use of knowledge to inform action to improve the health of disadvantaged populations. The gap between knowledge and action to improve health equity is of concern to health researchers and practitioners. This study identifies and critically examines the usefulness of existing knowledge to action models or frameworks for promoting health equity. We conducted a scoping review of existing literature to identify knowledge to action (KTA) models or frameworks and critiqued the models using a health equity support rubric. We identified forty-eight knowledge to action models or frameworks. Six models scored between eight and ten of a maximum 12 points on the health equity support rubric. These high scoring models or frameworks all mentioned equity-related concepts. Attention to multisectoral approaches was the factor most often lacking in the low scoring models. The concepts of knowledge brokering, integrative processes, such as those in some indigenous health research, and Ecohealth applied to KTA all emerged as promising areas. Existing knowledge to action models or frameworks can help guide knowledge translation to support action on the social determinants of health and health equity. There is a need to further test existing models or frameworks. This process should be informed by participatory and integrative research. There is room to develop more robust equity supporting models.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 1%
Chile 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
Spain 1 <1%
Unknown 183 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 18%
Student > Ph. D. Student 25 13%
Other 18 10%
Student > Master 18 10%
Student > Doctoral Student 15 8%
Other 39 21%
Unknown 40 21%
Readers by discipline Count As %
Medicine and Dentistry 41 22%
Social Sciences 37 20%
Nursing and Health Professions 26 14%
Psychology 9 5%
Agricultural and Biological Sciences 4 2%
Other 24 13%
Unknown 48 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2016.
All research outputs
#2,369,383
of 24,615,949 outputs
Outputs from International Journal for Equity in Health
#398
of 2,134 outputs
Outputs of similar age
#29,797
of 270,699 outputs
Outputs of similar age from International Journal for Equity in Health
#3
of 11 outputs
Altmetric has tracked 24,615,949 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,134 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 270,699 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.