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Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting

Overview of attention for article published in Implementation Science, December 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 policy source
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25 X users
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2 Facebook pages

Citations

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52 Dimensions

Readers on

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151 Mendeley
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1 CiteULike
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Title
Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting
Published in
Implementation Science, December 2014
DOI 10.1186/s13012-014-0188-7
Pubmed ID
Authors

Rebecca Armstrong, Elizabeth Waters, Laurence Moore, Maureen Dobbins, Tahna Pettman, Cate Burns, Boyd Swinburn, Laurie Anderson, Mark Petticrew

Abstract

BackgroundThe value placed on types of evidence within decision-making contexts is highly dependent on individuals, the organizations in which the work and the systems and sectors they operate in. Decision-making processes too are highly contextual. Understanding the values placed on evidence and processes guiding decision-making is crucial to designing strategies to support evidence-informed decision-making (EIDM). This paper describes how evidence is used to inform local government (LG) public health decisions.MethodsThe study used mixed methods including a cross-sectional survey and interviews. The Evidence-Informed Decision-Making Tool (EvIDenT) survey was designed to assess three key domains likely to impact on EIDM: access, confidence, and organizational culture. Other elements included the usefulness and influence of sources of evidence (people/groups and resources), skills and barriers, and facilitators to EIDM. Forty-five LGs from Victoria, Australia agreed to participate in the survey and up to four people from each organization were invited to complete the survey (n¿=¿175). To further explore definitions of evidence and generate experiential data on EIDM practice, key informant interviews were conducted with a range of LG employees working in areas relevant to public health.ResultsIn total, 135 responses were received (75% response rate) and 13 interviews were conducted. Analysis revealed varying levels of access, confidence and organizational culture to support EIDM. Significant relationships were found between domains: confidence, culture and access to research evidence. Some forms of evidence (e.g. community views) appeared to be used more commonly and at the expense of others (e.g. research evidence). Overall, a mixture of evidence (but more internal than external evidence) was influential in public health decision-making in councils. By comparison, a mixture of evidence (but more external than internal evidence) was deemed to be useful in public health decision-making.ConclusionsThis study makes an important contribution to understanding how evidence is used within the public health LG context.Trial registration ACTRN12609000953235.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
South Africa 1 <1%
Australia 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Unknown 145 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 19%
Student > Master 26 17%
Student > Ph. D. Student 17 11%
Student > Doctoral Student 9 6%
Professor 8 5%
Other 35 23%
Unknown 27 18%
Readers by discipline Count As %
Medicine and Dentistry 36 24%
Social Sciences 29 19%
Nursing and Health Professions 14 9%
Psychology 9 6%
Business, Management and Accounting 7 5%
Other 22 15%
Unknown 34 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 01 January 2016.
All research outputs
#2,074,498
of 25,478,886 outputs
Outputs from Implementation Science
#411
of 1,813 outputs
Outputs of similar age
#27,467
of 361,884 outputs
Outputs of similar age from Implementation Science
#8
of 50 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,813 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 77% 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 361,884 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 92% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.