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An “All Teach, All Learn” Approach to Research Capacity Strengthening in Indigenous Primary Health Care Continuous Quality Improvement

Overview of attention for article published in Frontiers in Public Health, April 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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15 X users
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1 Google+ user

Citations

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37 Mendeley
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Title
An “All Teach, All Learn” Approach to Research Capacity Strengthening in Indigenous Primary Health Care Continuous Quality Improvement
Published in
Frontiers in Public Health, April 2018
DOI 10.3389/fpubh.2018.00107
Pubmed ID
Authors

Karen McPhail-Bell, Veronica Matthews, Roxanne Bainbridge, Michelle Louise Redman-MacLaren, Deborah Askew, Shanthi Ramanathan, Jodie Bailie, Ross Bailie, On Behalf of the Centre RCS Lead Group, Veronica Matthews, Karen McPhail-Bell, Kerry Copley, Louise Patel, Roxanne Bainbridge, Michelle Redman-MacLaren, Deborah Askew, Shanthi Ramanthan, Nalita Turner, Ross Bailie, Jodie Bailie, Isaac Hill, Janya McCalman

Abstract

In Australia, Indigenous people experience poor access to health care and the highest rates of morbidity and mortality of any population group. Despite modest improvements in recent years, concerns remains that Indigenous people have been over-researched without corresponding health improvements. Embedding Indigenous leadership, participation, and priorities in health research is an essential strategy for meaningful change for Indigenous people. To centralize Indigenous perspectives in research processes, a transformative shift away from traditional approaches that have benefited researchers and non-Indigenous agendas is required. This shift must involve concomitant strengthening of the research capacity of Indigenous and non-Indigenous researchers and research translators-all must teach and all must learn. However, there is limited evidence about how to strengthen systems and stakeholder capacity to participate in and lead continuous quality improvement (CQI) research in Indigenous primary health care, to the benefit of Indigenous people. This paper describes the collaborative development of, and principles underpinning, a research capacity strengthening (RCS) model in a national Indigenous primary health care CQI research network. The development process identified the need to address power imbalances, cultural contexts, relationships, systems requirements and existing knowledge, skills, and experience of all parties. Taking a strengths-based perspective, we harnessed existing knowledge, skills and experiences; hence our emphasis on capacity "strengthening". New insights are provided into the complex processes of RCS within the context of CQI in Indigenous primary health care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 14%
Student > Doctoral Student 5 14%
Researcher 4 11%
Other 2 5%
Student > Postgraduate 2 5%
Other 5 14%
Unknown 14 38%
Readers by discipline Count As %
Medicine and Dentistry 6 16%
Social Sciences 5 14%
Nursing and Health Professions 4 11%
Business, Management and Accounting 2 5%
Economics, Econometrics and Finance 1 3%
Other 2 5%
Unknown 17 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 July 2018.
All research outputs
#2,919,896
of 25,927,633 outputs
Outputs from Frontiers in Public Health
#1,422
of 14,485 outputs
Outputs of similar age
#57,177
of 340,880 outputs
Outputs of similar age from Frontiers in Public Health
#34
of 98 outputs
Altmetric has tracked 25,927,633 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,485 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 90% 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 340,880 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 83% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.