Applying computer adaptive testing to optimize online assessment of suicidal behavior: a simulation study.
TL;DR: This study demonstrated that CAT can be applied successfully to reduce the length of the Dutch version of the BSS, arguing that the use of CAT can improve the accuracy and the response burden when assessing the risk of future suicidal behavior online.
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Abstract: Background: The Internet is used increasingly for both suicide research and prevention. To optimize online assessment of suicidal patients, there is a need for short, good-quality tools to assess elevated risk of future suicidal behavior. Computer adaptive testing (CAT) can be used to reduce response burden and improve accuracy, and make the available pencil-and-paper tools more appropriate for online administration. Objective: The aim was to test whether an item response–based computer adaptive simulation can be used to reduce the length of the Beck Scale for Suicide Ideation (BSS). Methods: The data used for our simulation was obtained from a large multicenter trial from The Netherlands: the Professionals in Training to STOP suicide (PITSTOP suicide) study. We applied a principal components analysis (PCA), confirmatory factor analysis (CFA), a graded response model (GRM), and simulated a CAT. Results: The scores of 505 patients were analyzed. Psychometric analyses showed the questionnaire to be unidimensional with good internal consistency. The computer adaptive simulation showed that for the estimation of elevation of risk of future suicidal behavior 4 items (instead of the full 19) were sufficient, on average. Conclusions: This study demonstrated that CAT can be applied successfully to reduce the length of the Dutch version of the BSS. We argue that the use of CAT can improve the accuracy and the response burden when assessing the risk of future suicidal behavior online. Because CAT can be daunting for clinicians and applied scientists, we offer a concrete example of our computer adaptive simulation of the Dutch version of the BSS at the end of the paper. [J Med Internet Res 2014;16(9):e207]
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Citations
Exploring the psychology of suicidal ideation: A theory driven network analysis.
Derek de Beurs,Eiko I. Fried,Karen Wetherall,Seonaid Cleare,D.B. O’ Connor,Eamonn Ferguson,Ronan E. O'Carroll,R.C. O’ Connor +7 more
TL;DR: The results suggest that relationships between suicide ideation and psychological risk factors are complex, with some factors contributing direct risk, and others having indirect impact.
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German Beck Scale for Suicide Ideation (BSS): psychometric properties from a representative population survey.
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Network Analysis: A Novel Approach to Understand Suicidal Behaviour
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Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model
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A Systematic Literature Review of Technologies for Suicidal Behavior Prevention
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TL;DR: This work is a systematic review of research papers published in the last ten years on technology for suicide prevention, finding technologies that help the prevention of suicide and much remains to be done in this field.
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