ArticleJournal of medical Internet research2014
Applying computer adaptive testing to optimize online assessment of suicidal behavior: a simulation study.
Article in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Literature Review of Technologies for Suicidal Behavior Prevention.Journal of medical systems · 2018Pooled it
- Assessing Suicidal Ideation in a Community of Bangladesh: Validation of a Suicidal Ideation Scale.Indian journal of psychological medicine · 2026Article
- Building an Early Warning System for Depression: Rationale, Objectives, and Methods of the WARN-D Study.Clinical psychology in Europe · 2023Article
- How subjective well-being, patient-reported clinical improvement (PROMs) and experience of care (PREMs) relate in an acute psychiatric care setting?European psychiatry : the journal of the Association of European Psychiatrists · 2023Article
- Measuring the suicidal mind: The 'open source' Suicidality Scale, for adolescents and adults.PloS one · 2023Review
- Development of computer adaptive testing for measuring depression in patients with cancer.Scientific reports · 2022Article
- Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study.JMIR medical informatics · 2022Article
- Developing a Web-Based App to Assess Mental Health Difficulties in Secondary School Pupils: Qualitative User-Centered Design Study.JMIR formative research · 2022Article
- Information and Communication Technology Use in Suicide Prevention: Scoping Review.Journal of medical Internet research · 2021Article
- Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions.Frontiers in psychiatry · 2021Article
- Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach.Journal of medical Internet research · 2020Article
- Classification and Regression Tree and Computer Adaptive Testing in Cardiac Rehabilitation: Instrument Validation Study.Journal of medical Internet research · 2020Article
- Techniques to Shorten a Screening Tool for Emergency Department Patients.The western journal of emergency medicine · 2019Article
- Effects of Skip-Logic on the Validity of Dimensional Clinical Scores: A Simulation Study.Psychopathology · 2019Article
- Defeat and entrapment: more than meets the eye? Applying network analysis to estimate dimensions of highly correlated constructs.BMC medical research methodology · 2018Article
- German Beck Scale for Suicide Ideation (BSS): psychometric properties from a representative population survey.BMC psychiatry · 2017Article
- Association between suicidal symptoms and repeat suicidal behaviour within a sample of hospital-treated suicide attempters.BJPsych open · 2017Article
- Applying Computerized Adaptive Testing to the Four-Dimensional Symptom Questionnaire (4DSQ): A Simulation Study.JMIR mental health · 2017Article
- Development of a Microsoft Excel tool for one-parameter Rasch model of continuous items: an application to a safety attitude survey.BMC medical research methodology · 2017Article
- Simulation study of activities of daily living functions using online computerized adaptive testing.BMC medical informatics and decision making · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
objectiveThe 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).
methodsThe 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.
resultsThe 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.
conclusionsThis 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.
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