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Preventing mental illness: closing the evidence-practice gap through workforce and services planning

Overview of attention for article published in BMC Health Services Research, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
facebook
1 Facebook page

Citations

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26 Dimensions

Readers on

mendeley
137 Mendeley
Title
Preventing mental illness: closing the evidence-practice gap through workforce and services planning
Published in
BMC Health Services Research, July 2015
DOI 10.1186/s12913-015-0954-5
Pubmed ID
Authors

Gareth Furber, Leonie Segal, Matthew Leach, Catherine Turnbull, Nicholas Procter, Mark Diamond, Stephanie Miller, Patrick McGorry

Abstract

Mental illness is prevalent across the globe and affects multiple aspects of life. Despite advances in treatment, there is little evidence that prevalence rates of mental illness are falling. While the prevention of cardiovascular disease and cancers are common in the policy dialogue and in service delivery, the prevention of mental illness remains a neglected area. There is accumulating evidence that mental illness is at least partially preventable, with increasing recognition that its antecedents are often found in infancy, childhood, adolescence and youth, creating multiple opportunities into young adulthood for prevention. Developing valid and reproducible methods for translating the evidence base in mental illness prevention into actionable policy recommendations is a crucial step in taking the prevention agenda forward. Building on an aetiological model of adult mental illness that emphasizes the importance of intervening during infancy, childhood, adolescence and youth, we adapted a workforce and service planning framework, originally applied to diabetes care, to the analysis of the workforce and service structures required for best-practice prevention of mental illness. The resulting framework consists of 6 steps that include identifying priority risk factors, profiling the population in terms of these risk factors to identify at-risk groups, matching these at-risk groups to best-practice interventions, translation of these interventions to competencies, translation of competencies to workforce and service estimates, and finally, exploring the policy implications of these workforce and services estimates. The framework outlines the specific tasks involved in translating the evidence-base in prevention, to clearly actionable workforce, service delivery and funding recommendations. The framework describes the means to deliver mental illness prevention that the literature indicates is achievable, and is the basis of an ongoing project to model the workforce and service structures required for mental illness prevention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 135 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 17%
Researcher 20 15%
Student > Bachelor 18 13%
Student > Doctoral Student 11 8%
Student > Ph. D. Student 8 6%
Other 24 18%
Unknown 33 24%
Readers by discipline Count As %
Medicine and Dentistry 25 18%
Psychology 25 18%
Nursing and Health Professions 23 17%
Social Sciences 10 7%
Agricultural and Biological Sciences 5 4%
Other 15 11%
Unknown 34 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 December 2022.
All research outputs
#3,846,160
of 23,577,761 outputs
Outputs from BMC Health Services Research
#1,700
of 7,847 outputs
Outputs of similar age
#48,194
of 264,903 outputs
Outputs of similar age from BMC Health Services Research
#26
of 107 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,847 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 78% 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 264,903 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 81% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.