Skip to main content
Top
Published in: Psychiatric Quarterly 3/2017

01-09-2017 | Original Paper

A Pilot Study on Developing a Standardized and Sensitive School Violence Risk Assessment with Manual Annotation

Authors: Drew H. Barzman, Yizhao Ni, Marcus Griffey, Bianca Patel, Ashaki Warren, Edward Latessa, Michael Sorter

Published in: Psychiatric Quarterly | Issue 3/2017

Login to get access

Abstract

School violence has increased over the past decade and innovative, sensitive, and standardized approaches to assess school violence risk are needed. In our current feasibility study, we initialized a standardized, sensitive, and rapid school violence risk approach with manual annotation. Manual annotation is the process of analyzing a student’s transcribed interview to extract relevant information (e.g., key words) to school violence risk levels that are associated with students’ behaviors, attitudes, feelings, use of technology (social media and video games), and other activities. In this feasibility study, we first implemented school violence risk assessments to evaluate risk levels by interviewing the student and parent separately at the school or the hospital to complete our novel school safety scales. We completed 25 risk assessments, resulting in 25 transcribed interviews of 12–18 year olds from 15 schools in Ohio and Kentucky. We then analyzed structured professional judgments, language, and patterns associated with school violence risk levels by using manual annotation and statistical methodology. To analyze the student interviews, we initiated the development of an annotation guideline to extract key information that is associated with students’ behaviors, attitudes, feelings, use of technology and other activities. Statistical analysis was applied to associate the significant categories with students’ risk levels to identify key factors which will help with developing action steps to reduce risk. In a future study, we plan to recruit more subjects in order to fully develop the manual annotation which will result in a more standardized and sensitive approach to school violence assessments.
Literature
1.
go back to reference Robers S, Kemp J, Truman J, Snyder TD: Indicators of School Crime and Safety: 2012. Washington: US Department of Education and US Department of Justice Office of Justice Programs, 2013. Robers S, Kemp J, Truman J, Snyder TD: Indicators of School Crime and Safety: 2012. Washington: US Department of Education and US Department of Justice Office of Justice Programs, 2013.
3.
go back to reference Gottfredson GD, Cook PJ, NA C: Schools and Prevention. In: Welsh BC, Farrington DP (Eds): Crime and Prevention. Oxford, United Kingdom: Oxford University Press, pp. 269–287, 2000. Gottfredson GD, Cook PJ, NA C: Schools and Prevention. In: Welsh BC, Farrington DP (Eds): Crime and Prevention. Oxford, United Kingdom: Oxford University Press, pp. 269–287, 2000.
4.
go back to reference Tanner-Smith EE, Wilson SJ, Lipsey MW: Risk Factors and Crime. In: Maguire M, Morgan R, Reiner R (Eds) The Oxford Handbook of Criminology. 5th edn, Oxford, Oxford University Press, pp. 89–111, 2012. Tanner-Smith EE, Wilson SJ, Lipsey MW: Risk Factors and Crime. In: Maguire M, Morgan R, Reiner R (Eds) The Oxford Handbook of Criminology. 5th edn, Oxford, Oxford University Press, pp. 89–111, 2012.
5.
go back to reference Borum R, Cornell DG, Modzeleski W, Jimerson SR: What can be done about school shootings? A Review of the Evidence. Educational Researcher 39(1): 27–37, 2010.CrossRef Borum R, Cornell DG, Modzeleski W, Jimerson SR: What can be done about school shootings? A Review of the Evidence. Educational Researcher 39(1): 27–37, 2010.CrossRef
6.
go back to reference Nekvasil EK, Cornell DG: Student reports of peer threats of violence: Prevalence and outcomes. Journal of School Violence 11(4): 357–375, 2012.CrossRef Nekvasil EK, Cornell DG: Student reports of peer threats of violence: Prevalence and outcomes. Journal of School Violence 11(4): 357–375, 2012.CrossRef
7.
go back to reference Bernes KB, Bardick AD: Conducting adolescent violence risk assessments: A framework for school counselors. Professional School Counseling 10(4): 419–427, 2007.CrossRef Bernes KB, Bardick AD: Conducting adolescent violence risk assessments: A framework for school counselors. Professional School Counseling 10(4): 419–427, 2007.CrossRef
8.
go back to reference McGowan MR, Horn RA, Mellott RN: The predictive validity of the structured assessment of violence risk in youth in secondary educational settings. Psychological Assessment 23(2): 478–486, 2011.CrossRefPubMed McGowan MR, Horn RA, Mellott RN: The predictive validity of the structured assessment of violence risk in youth in secondary educational settings. Psychological Assessment 23(2): 478–486, 2011.CrossRefPubMed
9.
go back to reference Monahan J, Steadman H: Violence Risk Assessment: A Quarter Century of Research. In: Frost L, Bonnie R (Eds.): The Evolution of Mental Health Law. Washington: American Psychological Association, pp. 195–211, 2001. doi:10.1037/10414-010.CrossRef Monahan J, Steadman H: Violence Risk Assessment: A Quarter Century of Research. In: Frost L, Bonnie R (Eds.): The Evolution of Mental Health Law. Washington: American Psychological Association, pp. 195–211, 2001. doi:10.​1037/​10414-010.CrossRef
10.
go back to reference Barzman D, Brackenbury L, Sonnier L, Schnell B, Cassedy A, Salisbury S, Sorter M, Mossman D: Brief rating of aggression by children and adolescents (BRACHA): Development of a Tool to Assess Risk of Inpatients’ Aggressive Behavior. Journal of the American Academy of Psychiatry and the Law 39(2): 170–179, 2011.PubMed Barzman D, Brackenbury L, Sonnier L, Schnell B, Cassedy A, Salisbury S, Sorter M, Mossman D: Brief rating of aggression by children and adolescents (BRACHA): Development of a Tool to Assess Risk of Inpatients’ Aggressive Behavior. Journal of the American Academy of Psychiatry and the Law 39(2): 170–179, 2011.PubMed
11.
go back to reference South BR, Shen S, Jones M, Garvin J, Samore MH, Chapman WW, Gundlapalli AV: Developing a manually annotated clinical document corpus to identify phenotypic information for inflammatory bowel disease. BMC Bioinformatics 10(Suppl 9):S12, 2009.CrossRefPubMedPubMedCentral South BR, Shen S, Jones M, Garvin J, Samore MH, Chapman WW, Gundlapalli AV: Developing a manually annotated clinical document corpus to identify phenotypic information for inflammatory bowel disease. BMC Bioinformatics 10(Suppl 9):S12, 2009.CrossRefPubMedPubMedCentral
12.
go back to reference Roberts A, Gaizauskas R, Hepple M, Demetriou G, Guo Y, Roberts I, Setzer A: Building a semantically annotated corpus of clinical texts. Journal of biomedical informatics 42(5):950–966, 2009.CrossRefPubMed Roberts A, Gaizauskas R, Hepple M, Demetriou G, Guo Y, Roberts I, Setzer A: Building a semantically annotated corpus of clinical texts. Journal of biomedical informatics 42(5):950–966, 2009.CrossRefPubMed
13.
go back to reference Xia F, Yetisgen-Yildiz: Clinical corpus annotation: challenges and strategies. Proc. Of Third Workshop on Building and Evaluating Resources for Biomedical Text Mining of the International Conference on Language Resources and Evaluation, 2012. Xia F, Yetisgen-Yildiz: Clinical corpus annotation: challenges and strategies. Proc. Of Third Workshop on Building and Evaluating Resources for Biomedical Text Mining of the International Conference on Language Resources and Evaluation, 2012.
14.
go back to reference Deleger L, Brodzinski H, Zhai H, Li Q, Lingren T, Kirkendall ES, Alessandrini E, Solti I: Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency department. Journal of the American Medical Informatics Association, 20(e2): e212–e220, 2013.CrossRefPubMedPubMedCentral Deleger L, Brodzinski H, Zhai H, Li Q, Lingren T, Kirkendall ES, Alessandrini E, Solti I: Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency department. Journal of the American Medical Informatics Association, 20(e2): e212–e220, 2013.CrossRefPubMedPubMedCentral
15.
go back to reference Li Q, Kirkendall E, Hall E, Ni Y, Lingren T, Kaiser M, Lingren N, Zhai H, Solti I, Melton K: Automated detection of medication and fluid administration errors in neonatal intensive care. Journal of Biomedical Informatics, 2015. doi:10.1016/j.jbi.2015.07.012. Li Q, Kirkendall E, Hall E, Ni Y, Lingren T, Kaiser M, Lingren N, Zhai H, Solti I, Melton K: Automated detection of medication and fluid administration errors in neonatal intensive care. Journal of Biomedical Informatics, 2015. doi:10.​1016/​j.​jbi.​2015.​07.​012.
16.
go back to reference Li Q, Spooner SA, Kaiser M, Lingren N, Robbins J, Lingren T, Tang H, Solti I, Ni Y: An end-to-end hybrid algorithm for automated medication discrepancy detection. BMC Medical Informatics and Decision Making 15(1):37, 2015.CrossRefPubMedPubMedCentral Li Q, Spooner SA, Kaiser M, Lingren N, Robbins J, Lingren T, Tang H, Solti I, Ni Y: An end-to-end hybrid algorithm for automated medication discrepancy detection. BMC Medical Informatics and Decision Making 15(1):37, 2015.CrossRefPubMedPubMedCentral
17.
go back to reference Barzman D, Mossman D, Sonnier L, Sorter M: Brief rating of aggression by children and adolescents (BRACHA): A reliability study. Journal of the American Academy of Psychiatry and the Law 40:374–382, 2012.PubMed Barzman D, Mossman D, Sonnier L, Sorter M: Brief rating of aggression by children and adolescents (BRACHA): A reliability study. Journal of the American Academy of Psychiatry and the Law 40:374–382, 2012.PubMed
18.
go back to reference Delgado SV, Barzman D, Gehle M, Caring M, Sorter MD, Kowatch R, Finding R: Characteristics of Discharges Against Medical Advice from Acute Inpatient Psychiatric Units for Children and Adolescents. Poster presented at the annual meeting of the American Academy of Child and Adolescent Psychiatry, Boston, 2007. Delgado SV, Barzman D, Gehle M, Caring M, Sorter MD, Kowatch R, Finding R: Characteristics of Discharges Against Medical Advice from Acute Inpatient Psychiatric Units for Children and Adolescents. Poster presented at the annual meeting of the American Academy of Child and Adolescent Psychiatry, Boston, 2007.
20.
go back to reference Hilterman EL, Nicholls TL, van Nieuwenhuizen C: Predictive performance of Risk Assessments in Juvenile Offenders: Comparing the SAVRY, PCL:YV, and YLS/CMI With Unstructured Clinical Assessments. Assessment, 2014. Hilterman EL, Nicholls TL, van Nieuwenhuizen C: Predictive performance of Risk Assessments in Juvenile Offenders: Comparing the SAVRY, PCL:YV, and YLS/CMI With Unstructured Clinical Assessments. Assessment, 2014.
22.
go back to reference Lingren T, Deleger L, Molnar K, Zhai H, Meinzen-Derr J, Kaiser M, Stoutenborough L, Li Q, Solti I: Evaluating the impact of pre-annotation on annotation speed and potential bias: Natural language processing gold standard development for clinical named entity recognition in clinical trial announcements. Journal of the American Medical Informatics Association, 2013. doi:10.1136/amiajnl-2013-001837. Lingren T, Deleger L, Molnar K, Zhai H, Meinzen-Derr J, Kaiser M, Stoutenborough L, Li Q, Solti I: Evaluating the impact of pre-annotation on annotation speed and potential bias: Natural language processing gold standard development for clinical named entity recognition in clinical trial announcements. Journal of the American Medical Informatics Association, 2013. doi:10.​1136/​amiajnl-2013-001837.
23.
go back to reference Ogren P, Guergana S, Christopher C: Constructing evaluation corpora for automated clinical named entity recognition: In: Proc. of the sixth international conference on language resources and evaluation (LREC), 2008. Ogren P, Guergana S, Christopher C: Constructing evaluation corpora for automated clinical named entity recognition: In: Proc. of the sixth international conference on language resources and evaluation (LREC), 2008.
24.
go back to reference Welsh JL, Schmidt F, McKinnon L, Chattha HK, Meyers JR: A comparative study of adolescent risk assessment instruments: predictive and incremental validity. Assessment 15:104–115, 2008.CrossRefPubMed Welsh JL, Schmidt F, McKinnon L, Chattha HK, Meyers JR: A comparative study of adolescent risk assessment instruments: predictive and incremental validity. Assessment 15:104–115, 2008.CrossRefPubMed
25.
go back to reference Falzer PR: Valuing structured professional judgment: Predictive performance, decision-making, and the clinical-actuarial conflict. Behavioral Sciences and the Law 31:40–54, 2013.CrossRefPubMed Falzer PR: Valuing structured professional judgment: Predictive performance, decision-making, and the clinical-actuarial conflict. Behavioral Sciences and the Law 31:40–54, 2013.CrossRefPubMed
Metadata
Title
A Pilot Study on Developing a Standardized and Sensitive School Violence Risk Assessment with Manual Annotation
Authors
Drew H. Barzman
Yizhao Ni
Marcus Griffey
Bianca Patel
Ashaki Warren
Edward Latessa
Michael Sorter
Publication date
01-09-2017
Publisher
Springer US
Published in
Psychiatric Quarterly / Issue 3/2017
Print ISSN: 0033-2720
Electronic ISSN: 1573-6709
DOI
https://doi.org/10.1007/s11126-016-9458-7

Other articles of this Issue 3/2017

Psychiatric Quarterly 3/2017 Go to the issue