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The use of evidence in English local public health decision-making: a systematic scoping review

Overview of attention for article published in Implementation Science, April 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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72 X users

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Title
The use of evidence in English local public health decision-making: a systematic scoping review
Published in
Implementation Science, April 2017
DOI 10.1186/s13012-017-0577-9
Pubmed ID
Authors

Dylan Kneale, Antonio Rojas-García, Rosalind Raine, James Thomas

Abstract

Public health decision-making structures in England have transformed since the implementation of reforms in 2013, with responsibility for public health services and planning having shifted from the "health" boundary to local authority (LA; local government) control. This transformation may have interrupted flows of research evidence use in decision-making and introduced a new political element to public health decision-making. For generators of research evidence, understanding and responding to this new landscape and decision-makers' evidence needs is essential. We conducted a systematic scoping review of the literature, drawing upon four databases and undertaking manual searching and citation tracking. Included studies were English-based, published in 2010 onwards, and were focused on public health decision-making, including the utilisation or underutilisation of research evidence use, in local (regional or sub-regional) areas. All studies presented empirical findings collected through primary research methods or through the reanalysis of existing primary data. From a total of 903 records, 23 papers from 21 studies were deemed to be eligible and were included for further data extraction. Three clear trends in evidence use were identified: (i) the primacy of local evidence, (ii) the important role of local experts in providing evidence and knowledge, and (iii) the high value placed on local evaluation evidence despite the varying methodological rigour. Barriers to the use of research evidence included issues around access and availability of applicable research evidence, and indications that the use of evidence could be perceived as a bureaucratic process. Two new factors resulting from reforms to public health structures were identified that potentially changed existing patterns of research evidence use and decision-making requirements: (i) greater emphasis among public health practitioners on the perceived uniqueness of LA areas and structures following devolution of public health into LAs and (ii) challenges introduced in responding to higher levels of local political accountability. There is a need to better understand and respond to the evidence needs of decision-makers working in public health and to work more collaboratively in developing solutions to the underutilisation of research evidence in decision-making.

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X Demographics

The data shown below were collected from the profiles of 72 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 313 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 312 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 18%
Researcher 44 14%
Student > Master 35 11%
Student > Doctoral Student 21 7%
Student > Bachelor 17 5%
Other 62 20%
Unknown 77 25%
Readers by discipline Count As %
Social Sciences 60 19%
Computer Science 39 12%
Business, Management and Accounting 31 10%
Medicine and Dentistry 27 9%
Nursing and Health Professions 19 6%
Other 42 13%
Unknown 95 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 21 May 2017.
All research outputs
#1,063,463
of 25,809,907 outputs
Outputs from Implementation Science
#153
of 1,822 outputs
Outputs of similar age
#20,988
of 325,340 outputs
Outputs of similar age from Implementation Science
#5
of 42 outputs
Altmetric has tracked 25,809,907 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,822 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 particularly well, scoring higher than 91% 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 325,340 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 93% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.