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Improving the production of applied health research findings: insights from a qualitative study of operational research

Overview of attention for article published in Implementation Science, September 2017
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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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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1 blog
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29 X users

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11 Dimensions

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Title
Improving the production of applied health research findings: insights from a qualitative study of operational research
Published in
Implementation Science, September 2017
DOI 10.1186/s13012-017-0643-3
Pubmed ID
Authors

Sonya Crowe, Simon Turner, Martin Utley, Naomi J. Fulop

Abstract

Knowledge produced through applied health research is often of a form not readily accessible to or actionable by policymakers and practitioners, which hinders its implementation. Our aim was to identify research activities that can support the production of knowledge tailored to inform policy and practice. To do this, we studied an operational research approach to improving the production of applied health research findings. A 2-year qualitative study was conducted of the operational research contribution to a multidisciplinary applied health research project that was successful in rapidly informing national policy. Semi-structured interviews (n = 20) were conducted with all members of the project's research team and advisory group (patient and health professional representatives and academics). These were augmented by participant (> 150 h) and non-participant (> 15 h) observations focusing on the process and experience of attempting to support knowledge production. Data were analysed thematically using QSR NVivo software. Operational research performed a knowledge mediation role shaped by a problem-focused approach and an intent to perform those tasks necessary to producing readily implementable knowledge but outwith the remit of other disciplinary strands of the project. Three characteristics of the role were found to support this: engaging and incorporating different perspectives to improve services by capturing a range of health professional and patient views alongside quantitative and qualitative research evidence; rendering data meaningful by creating and presenting evidence in forms that are accessible to and engage different audiences, enabling them to make sense of it for practical use; and maintaining perceived objectivity and rigour by establishing credibility, perceived neutrality and confidence in the robustness of the research in order to unite diverse professionals in thinking creatively about system-wide service improvement. Our study contributes useful empirical insights about knowledge mediation activities within multidisciplinary applied health research projects that support the generation of accessible, practice-relevant and actionable knowledge. Incorporating such activities, or a dedicated role, for mediating knowledge production within such projects could help to enhance the uptake of research findings into routine healthcare and warrants further consideration.

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X Demographics

The data shown below were collected from the profiles of 29 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Student > Master 8 14%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Librarian 3 5%
Other 14 24%
Unknown 17 29%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Business, Management and Accounting 4 7%
Nursing and Health Professions 3 5%
Psychology 3 5%
Engineering 2 3%
Other 14 24%
Unknown 23 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 25 October 2017.
All research outputs
#1,529,719
of 25,248,775 outputs
Outputs from Implementation Science
#270
of 1,793 outputs
Outputs of similar age
#29,584
of 322,140 outputs
Outputs of similar age from Implementation Science
#13
of 30 outputs
Altmetric has tracked 25,248,775 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 84% 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 322,140 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 30 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 60% of its contemporaries.