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Accuracy of risk scales for predicting repeat self-harm and suicide: a multicentre, population-level cohort study using routine clinical data

Overview of attention for article published in BMC Psychiatry, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 5,489)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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2 news outlets
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3 blogs
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307 X users
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2 Facebook pages

Citations

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66 Dimensions

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172 Mendeley
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Title
Accuracy of risk scales for predicting repeat self-harm and suicide: a multicentre, population-level cohort study using routine clinical data
Published in
BMC Psychiatry, April 2018
DOI 10.1186/s12888-018-1693-z
Pubmed ID
Authors

Sarah Steeg, Leah Quinlivan, Rebecca Nowland, Robert Carroll, Deborah Casey, Caroline Clements, Jayne Cooper, Linda Davies, Duleeka Knipe, Jennifer Ness, Rory C. O’Connor, Keith Hawton, David Gunnell, Nav Kapur

Abstract

Risk scales are used widely in the management of patients presenting to hospital following self-harm. However, there is evidence that their diagnostic accuracy in predicting repeat self-harm is limited. Their predictive accuracy in population settings, and in identifying those at highest risk of suicide is not known. We compared the predictive accuracy of the Manchester Self-Harm Rule (MSHR), ReACT Self-Harm Rule (ReACT), SAD PERSONS Scale (SPS) and Modified SAD PERSONS Scale (MSPS) in an unselected sample of patients attending hospital following self-harm. Data on 4000 episodes of self-harm presenting to Emergency Departments (ED) between 2010 and 2012 were obtained from four established monitoring systems in England. Episodes were assigned a risk category for each scale and followed up for 6 months. The episode-based repeat rate was 28% (1133/4000) and the incidence of suicide was 0.5% (18/3962). The MSHR and ReACT performed with high sensitivity (98% and 94% respectively) and low specificity (15% and 23%). The SPS and the MSPS performed with relatively low sensitivity (24-29% and 9-12% respectively) and high specificity (76-77% and 90%). The area under the curve was 71% for both MSHR and ReACT, 51% for SPS and 49% for MSPS. Differences in predictive accuracy by subgroup were small. The scales were less accurate at predicting suicide than repeat self-harm. The scales failed to accurately predict repeat self-harm and suicide. The findings support existing clinical guidance not to use risk classification scales alone to determine treatment or predict future risk.

X Demographics

X Demographics

The data shown below were collected from the profiles of 307 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 15%
Student > Bachelor 16 9%
Student > Master 15 9%
Student > Ph. D. Student 14 8%
Student > Doctoral Student 10 6%
Other 33 19%
Unknown 58 34%
Readers by discipline Count As %
Psychology 37 22%
Medicine and Dentistry 30 17%
Nursing and Health Professions 15 9%
Neuroscience 10 6%
Social Sciences 7 4%
Other 10 6%
Unknown 63 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 241. 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 September 2023.
All research outputs
#157,655
of 25,602,335 outputs
Outputs from BMC Psychiatry
#45
of 5,489 outputs
Outputs of similar age
#3,664
of 340,301 outputs
Outputs of similar age from BMC Psychiatry
#2
of 117 outputs
Altmetric has tracked 25,602,335 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 99% 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 340,301 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 98% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.