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Strength-based assessment for future violence risk: a retrospective validation study of the Structured Assessment of PROtective Factors for violence risk (SAPROF) Japanese version in forensic…

Overview of attention for article published in Annals of General Psychiatry, January 2018
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Title
Strength-based assessment for future violence risk: a retrospective validation study of the Structured Assessment of PROtective Factors for violence risk (SAPROF) Japanese version in forensic psychiatric inpatients
Published in
Annals of General Psychiatry, January 2018
DOI 10.1186/s12991-018-0175-5
Pubmed ID
Authors

Hiroko Kashiwagi, Akiko Kikuchi, Mayuko Koyama, Daisuke Saito, Naotsugu Hirabayashi

Abstract

The Structured Assessment of PROtective Factors for violence risk (SAPROF) was recently developed as a strength-based addition to the risk assessment of future violent behavior. We examined the interrater reliability and predictive accuracy of the SAPROF for violence in forensic mental health inpatient units in Japan. This retrospective record study provides an initial validation of the SAPROF in a Japanese sample of 95 forensic psychiatric inpatients from a complete 2008-2013 cohort. Violent outcomes were assessed 6 and 12 months after hospitalization. We observed moderate-to-good interrater reliability for the SAPROF total score and the internal factors, motivational factors, external factors, and the Final Protection Judgment scores. According to a receiver operating characteristic analysis, the SAPROF total score and all subscale scores predicted violence at both 6 and 12 months after hospitalization with high accuracy. Furthermore, the predictive validity of a combination of the SAPROF with the Historical Clinical Risk Management-20 (HCR-20) outperformed that of the HCR-20 alone. The results provide evidence of the value of considering protective factors in the assessment of future violence risk among Japanese forensic psychiatric inpatients. The SAPROF might allow for a more balanced assessment of future violence risk in places where the population rates of violent crime are low, such as Japan, but a validation study in a different setting should confirm this. Moreover, future studies should examine the effectiveness of treatment and promoting community re-integration on motivating patients and treatment staff.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Bachelor 5 14%
Student > Doctoral Student 4 11%
Student > Postgraduate 3 8%
Student > Master 3 8%
Other 4 11%
Unknown 10 28%
Readers by discipline Count As %
Psychology 11 31%
Medicine and Dentistry 4 11%
Nursing and Health Professions 3 8%
Social Sciences 3 8%
Computer Science 2 6%
Other 2 6%
Unknown 11 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 February 2018.
All research outputs
#15,955,788
of 19,867,404 outputs
Outputs from Annals of General Psychiatry
#318
of 469 outputs
Outputs of similar age
#289,094
of 389,991 outputs
Outputs of similar age from Annals of General Psychiatry
#1
of 1 outputs
Altmetric has tracked 19,867,404 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 469 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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