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Long-stay in forensic-psychiatric care in the UK

Overview of attention for article published in Social Psychiatry and Psychiatric Epidemiology, January 2018
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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)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Long-stay in forensic-psychiatric care in the UK
Published in
Social Psychiatry and Psychiatric Epidemiology, January 2018
DOI 10.1007/s00127-017-1473-y
Pubmed ID
Authors

Laurie Hare Duke, Vivek Furtado, Boliang Guo, Birgit Angela Völlm

Abstract

Forensic services provide care for mentally disordered offenders. In England this is provided at three levels of security-low, medium and high. Significant number of patients within these settings remain detained for protracted periods of time. This is both very costly and restrictive for individuals. No national studies have been conducted on this subject in England. We employed a cross-sectional design using anonymised data from medical records departments in English secure forensic units. Data were collected from a large sample of medium secure patients (n = 1572) as well as the total high secure patient population (n = 715) resident on the census date (01-04-2013). We defined long-stay as a stay of more than 10 years in high, 5 years in medium or 15 years in a mix of high and medium secure settings. Long-stay status was assessed against patient demographic and admission information. We identified a significant proportion of long-stayers: 23.5% in high secure and 18.1% in medium secure care. Amongst medium secure units a large variation in long-stay prevalence was observed from 0 to 50%. Results indicated that MHA section, admission source and current ward type were independent factors associated with long-stay status. This study identified a significant proportion of long-stayers in forensic settings in England. Sociodemographic factors identified in studies in individual settings may be less important than previously thought. The large variation in prevalence of long-stayers observed in the medium secure sample warrants further investigation.

X Demographics

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The data shown below were collected from the profiles of 4 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 17%
Student > Bachelor 10 13%
Student > Ph. D. Student 9 12%
Researcher 8 10%
Student > Doctoral Student 4 5%
Other 12 16%
Unknown 21 27%
Readers by discipline Count As %
Psychology 28 36%
Medicine and Dentistry 10 13%
Nursing and Health Professions 5 6%
Social Sciences 5 6%
Agricultural and Biological Sciences 2 3%
Other 4 5%
Unknown 23 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 15 April 2023.
All research outputs
#1,983,116
of 25,713,737 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#359
of 2,728 outputs
Outputs of similar age
#44,955
of 451,171 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#8
of 32 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 86% 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 451,171 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 32 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.