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Translating a health service intervention into a rural setting: lessons learned

Overview of attention for article published in BMC Health Services Research, February 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

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4 tweeters

Citations

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7 Dimensions

Readers on

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32 Mendeley
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Title
Translating a health service intervention into a rural setting: lessons learned
Published in
BMC Health Services Research, February 2016
DOI 10.1186/s12913-016-1302-0
Pubmed ID
Authors

Elsa Dent, Elizabeth Hoon, Alison Kitson, Jonathan Karnon, Jonathan Newbury, Gillian Harvey, Tiffany K. Gill, Lauren Gillis, Justin Beilby

Abstract

Limited research exists on the process of applying knowledge translation (KT) methodology to a rural-based population health intervention. This study reports on the implementation and translational stages of a previously described Co-creating KT (Co-KT) framework in the rural town of Port Lincoln, South Australia (population: 14,000). The Co-KT framework involves five steps: (i) collecting local data; (ii) building stakeholder relationships; (iii) designing an evidence-based intervention incorporating local knowledge; (iv) implementation and evaluation of the intervention; and (v) translating the research into policy and practice. Barriers and enablers to the overall Co-KT implementation process were identified. Our intervention focused on musculoskeletal (MSK) conditions. Although the Co-KT framework was valuable in engaging with the community, translating the final intervention into daily clinical practice was prevented by a lack of an accessible policy or financial framework to anchor the appropriate intervention, a lack of continued engagement with stakeholders, access problems to general practitioners (GPs) and Allied Health Professionals; and the paucity of referrals from GPs to Allied Health Professionals. Consequently, while many aspects of the intervention were successful, including the improvement of both function and pain in study participants, the full implementation of the Co-KT framework was not possible. This study implemented and evaluated a Co-KT framework for a population with MSK conditions, linking locally generated health care system knowledge with academic input. Further policy, health system changes, and on-the-ground support are needed to overcome the identified implementation challenges in order to create sustainable and effective system change.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Bachelor 2 6%
Professor 2 6%
Lecturer 2 6%
Student > Master 2 6%
Other 5 16%
Unknown 15 47%
Readers by discipline Count As %
Social Sciences 4 13%
Medicine and Dentistry 3 9%
Nursing and Health Professions 3 9%
Engineering 2 6%
Psychology 1 3%
Other 4 13%
Unknown 15 47%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 September 2019.
All research outputs
#8,598,615
of 15,922,419 outputs
Outputs from BMC Health Services Research
#3,148
of 5,494 outputs
Outputs of similar age
#108,946
of 267,740 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 15,922,419 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,494 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 267,740 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them