Applying Computer Adaptive Testing Methods to Suicide Risk Screening in the Emergency Department.
<bold>Objective: </bold>Combine test theory with technology to develop brief, reliable suicide risk measures in the emergency department.<bold>Methods: </bold>A computer adaptive test for suicide risk was built using the Beck Scale for Suicide Ideation and tested among the emergency department popul...
| Publicado en: | Suicide & Life-Threatening Behavior Vol. 49; no. 4; pp. 917 - 928 |
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| Autores principales: | , , , , , |
| Formato: | journal article |
| Publicado: |
Wiley-Blackwell
Aug2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=138053168&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 138053168 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03630234 SUI jtl: Suicide & Life-Threatening Behavior issn: 03630234 maglogo: Y pubinfo: dt: Aug2019 vid: 49 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 138053168 10.1111/sltb.12493 ppf: 917 ppct: 11 formats: tig: atl: Applying Computer Adaptive Testing Methods to Suicide Risk Screening in the Emergency Department. aug: au: Boudreaux, Edwin D. De Beurs, Derek P. Nguyen, Tam H. Haskins, Brianna L. Larkin, Celine Barton, Bruce affil: Departments of Emergency Medicine, Psychiatry, and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester MA, USA Netherlands Institute for Health Services Research (NIVEL), Utrecht The Netherlands Department of Clinical Psychology, Faculty of Psychology and Education, VU University Amsterdam, Amsterdam The Netherlands Connell School of Nursing, Boston College, Chestnut Hill MA, USA Department of Emergency Medicine, University of Massachusetts Medical School, Worcester MA, USA Quantitative Health Sciences, University of Massachusetts Medical School, Worcester MA, USA su: Massachusetts National Institutes of Health (U.S.) Suicide Computer simulation Suicidal ideation Emergency medical services Psychological tests Medical screening Computer adaptive testing Hospital emergency services Test methods Risk assessment Experimental design Computer-aided diagnosis sug: subj: Suicide Computer simulation Suicidal ideation Emergency medical services Psychological tests Medical screening Massachusetts National Institutes of Health (U.S.) Emergency and Other Relief Services Municipal police services All Other Miscellaneous Ambulatory Health Care Services Computer adaptive testing Hospital emergency services Test methods Risk assessment Experimental design Computer-aided diagnosis ab: <bold>Objective: </bold>Combine test theory with technology to develop brief, reliable suicide risk measures in the emergency department.<bold>Methods: </bold>A computer adaptive test for suicide risk was built using the Beck Scale for Suicide Ideation and tested among the emergency department population. Data were analyzed from a sample of 1,350 patients in several Massachusetts emergency departments. The test was built as outlined by the National Institutes of Health Patient-Reported Outcomes Measurement Information System.<bold>Results: </bold>Of 1,350 patients, 74 (5%) scored above the cutoff of BSS > 2. Item 2, "Wish to die", was the most informative item. When using only Item 2, 20% (n = 15/74) of at-risk patients and 3% (n = 40/1,276) of not-at-risk patients were misclassified. Patients were classified after four items with computer adaptive testing trait estimates highly comparable to those of the full scale. The precision rule model did not reduce the scale.<bold>Conclusions: </bold>This study models the creation of a computer adaptive test for suicide ideation and marks the start of the development of computer adaptive tests as a novel suicide risk screening tool in the emergency department. Computer adaptive tests hold promise for revolutionizing behavioral health screening by addressing barriers including time and knowledge deficits. pubtype: Academic Journal doctype: journal article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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