Validity of the Suicide Assessment Checklist in an Emergency Crisis Center

Rogers, James R.; Lewis, Mary Miller; Subich, Linda Mezydlo

doi:10.1002/j.1556-6678.2002.tb00216.x

Cited by 25 publications

(24 citation statements)

References 7 publications

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“…Clinical scales with the evaluation made by the clinician 2.1 Self-Injury Trauma Scale (SITS) [25] 2.2 Motivational Assessment Scale (MAS) [34] 2.3 Behavior Problems Inventory (BPI) [25] 2.4 Overt Aggression Scale (OAS) [25] 2.5 Self-Injurious Behavior Questionnaire (SIBQ) [25] 2.6 Suicide Attempt and Self-Injury Interview (SASII) [35] 2.7 Self-Injurious Thoughts and Behaviors Interview (SITB) [36] 3. Ancillary scales in the assessment of persons involved in NSSI disorder 3.1 Alexian Brothers Urge to Self-Injury Scale (AB-USI) [23] 3.2 Difficulties in Emotion Regulation Scale (DERS) [27] 3.3 The Suicide Behaviors Questionnaire -Revised (SBQ-R) [29] 3.4 Self-Injury Self-Report Inventory (SISRI) [37] 3.5 SuicideAssessmentChecklist (SAC) [38] 1. Self-evaluation scales of a patient involved in NSSI The first part of the survey is related to the types of self-injury.…”

Section: Resultsmentioning

confidence: 99%

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Self-harm - an overview of the tools used to assess non-suicidal self-harming behaviors

Drzał-Fiałkiewcz

Makarewicz

Walczak

et al. 2017

Current Problems of Psychiatry

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Introduction: Non-Suicidal Self-Injury (NSSI) is the deliberate injury to one’s own body intended to cause mental or physical harm to oneself. In view of the growing scale of the NSSI, especially among young people without identifying any other psychiatric disorders, the disorder was included in both DSM-5 and ICD10 as independent diagnostic entity. Many etiopathogenetic hypotheses and research tools assessing various aspects of NSSI have been developed.The aim of the work is to present and discuss the most commonly used scales for NSSI assessment.Method: A review of available literature was made using the databases Medline / PubMed, using the key words: “self injury”, “self-mutilation”, “non-suicidal,”, “NSSI”, “self-harm” and time descriptors: 2005-2017Results: Available tools were divided into three groups: I- scale of self-assessment made by the patient, II- assessment made by the clinician, and III- auxiliary scale.Conclusions: None of the available scales covers the complexity of the NSSI phenomenon. For the overall NSSI assessment, several NSSI assessment tools are suggested, taking into account both self-assessment scales and clinical evaluation.

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Section: Resultsmentioning

confidence: 99%

“…There are questions about suicide attempts [51]. [38] is a tool that is designed to assess the loss of rational thinking, lack of social support, possibly the presence of depression, SPA abuse, or parental negligence [51].…”

Section: Difficulties In Emotion Regulation Scale (Ders)mentioning

confidence: 99%

Self-harm - an overview of the tools used to assess non-suicidal self-harming behaviors

Drzał-Fiałkiewcz

Makarewicz

Walczak

et al. 2017

Current Problems of Psychiatry

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“…Loin d'être capables de prédire le suicide, les méthodes scientifiques actuelles permettent d'avoir une idée du niveau de risque suicidaire, qui lui-même peut orienter la prise en charge clinique des patients (Rogers et al, 2002). Des marqueurs psychologiques (Wenzel et al, 2008), biologiques (Mann et al, 2006) et comportementaux (Nock et al, 2010) ont été proposés.…”

Section: Resultsunclassified

Prédire le suicide ou prédire l’imprévisible dans un monde incertain. Modèle du suicide selon l’apprentissage par renforcement

Desseilles

2013

smq

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“…296 Firstly, the Chinese suicide dictionary can be used to detect suicidal expression in social media posts. For 297 an overall estimation, a moderate correlation existed between dictionary-based identifications and expert 298 ratings (r=0.507), suggesting an acceptable level of convergent validity (Rogers, et al, 2002;Posner, et 299 al., 2011). However, correlations were not significant on categories of personality and trauma/hurt.…”

Section: Differentiation Between Individuals With High and Non-high Smentioning

confidence: 99%

Peer Review #2 of "Creating a Chinese suicide dictionary for identifying suicide risk on social media (v0.1)"

2015

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Introduction. Suicide has become a serious worldwide epidemic. Early detection of individual suicide risk in population is important for reducing suicide rates. Traditional methods are ineffective in identifying suicide risk in time, suggesting a need for novel techniques. This paper proposes to detect suicide risk on social media using a Chinese suicide dictionary. Methods. To build the Chinese suicide dictionary, eight researchers were recruited to select initial words from 4,653 posts published on Sina Weibo (the largest social media service provider in China) and two Chinese sentiment dictionaries (HowNet and NTUSD). Then, another three researchers were recruited to filter out irrelevant words. Finally, remaining words were further expanded using a corpus-based method. After building the Chinese suicide dictionary, we tested its performance in identifying suicide risk on Weibo. First, we made a comparison of the performance in both detecting suicidal expression in Weibo posts and evaluating individual levels of suicide risk between the dictionary-based identifications and the expert ratings. Second, to differentiate between individuals with high and non-high scores on self-rating measure of suicide risk (Suicidal Possibility Scale, SPS), we built Support Vector Machines (SVM) models on the Chinese suicide dictionary and the Simplified Chinese Linguistic Inquiry and Word Count (SCLIWC) program, respectively. After that, we made a comparison of the classification performance between two types of SVM models. Results and Discussion.Dictionary-based identifications were significantly correlated with expert ratings in terms of both detecting suicidal expression (r=0.507) and evaluating individual suicide risk (r=0.455). For the differentiation between individuals with high and non-high scores on SPS, the Chinese suicide dictionary (t1: F 1 =0.48; t2: F 1 =0.56) produced a more accurate identification than SCLIWC (t1: F 1 =0.41; t2: F 1 =0.48) on different observation windows.Conclusions. This paper confirms that, using social media, it is possible to implement real-time monitoring individual suicide risk in population. Results of this study may be useful to improve Chinese suicide prevention programs and may be insightful for other countries.PeerJ reviewing PDF | (ABSTRACT 19 Introduction. Suicide has become a serious worldwide epidemic. Early detection of individual suicide 20 risk in population is important for reducing suicide rates. Traditional methods are ineffective in 21 identifying suicide risk in time, suggesting a need for novel techniques. This paper proposes to detect 22 suicide risk on social media using a Chinese suicide dictionary. 23 Methods. To build the Chinese suicide dictionary, eight researchers were recruited to select initial words 24 from 4,653 posts published on Sina Weibo (the largest social media service provider in China) and two 25 Chinese sentiment dictionaries (HowNet and NTUSD). Then, another three researchers were recruited to 26 filter out irrelevant words. Finally, remaining word...

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Validity of the Suicide Assessment Checklist in an Emergency Crisis Center

Cited by 25 publications

References 7 publications

Self-harm - an overview of the tools used to assess non-suicidal self-harming behaviors

Self-harm - an overview of the tools used to assess non-suicidal self-harming behaviors

Prédire le suicide ou prédire l’imprévisible dans un monde incertain. Modèle du suicide selon l’apprentissage par renforcement

Peer Review #2 of "Creating a Chinese suicide dictionary for identifying suicide risk on social media (v0.1)"

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