Publication:
Diagnostic accuracy of the Structured Inventory of Malingered Symptomatology (SIMS) in motor vehicle accident patients

Simple item page
dc.contributor.authorPina, David
dc.contributor.authorPuente López, Esteban
dc.contributor.authorRuiz Hernández, José Antonio
dc.contributor.authorLlor Esteban, Bartolomé
dc.contributor.departmentPsiquiatría y Psicología Social
dc.date.accessioned2026-03-23T09:47:39Z
dc.date.available2026-03-23T09:47:39Z
dc.date.copyright© 2020 Informa UK Limited, trading as Taylor & Francis Group
dc.date.issued2020-10-12
dc.description.abstractThe SIMS is used in the medico-legal context to assess people who have suffered a traffic accident without proven scientific evidence to support this procedure. The objective of this research is to evaluate the SIMS’ ability to discriminate instructed malingerers, general population, patients who have suffered a traffic accident, and overreporting patients. A simulation design was used to evaluate a total of 650 subjects divided into the four mentioned groups. Our results indicate that the cut-off scores proposed by the authors of the English and Spanish versions (14 and 16) produce moderate sensitivity and specificity values. With a cut-off score of 10, specificity decreases, but sensitivity significantly increases. These results suggest that the SIMS needs to be adapted to the context’s particularities, either by using the proposed cut-off score and other instruments that compensate for the low specificity or by designing new subscales that include symptoms that are typical for the usual conditions in the context.
dc.formatapplication/pdf
dc.format.extent25
dc.identifier.citationThe Journal of Forensic Psychiatry & Psychology, 2021, Vol. 31, issue 1, pp. 131-154
dc.identifier.doihttps://doi.org/10.1080/14789949.2020.1833073
dc.identifier.eissn1478-9957
dc.identifier.issn1478-9949
dc.identifier.urihttp://hdl.handle.net/10201/222041
dc.languageeng
dc.publisherTaylor and Francis Group
dc.relationSin financiación externa a la Universidad
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/14789949.2020.1833073
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMalingering
dc.subjectTraffic accidents
dc.subjectMedico legal context
dc.subjectStructured Inventory of Malingered Symptomatology
dc.subjectSmulation design
dc.subject.odsObjetivo 16: Paz y justicia
dc.subject.odsObjetivo 3: Salud
dc.titleDiagnostic accuracy of the Structured Inventory of Malingered Symptomatology (SIMS) in motor vehicle accident patients
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublicationes
relation.isAuthorOfPublication32c38dc6-fa13-4497-9e49-aec5a6c1c211
relation.isAuthorOfPublication44ad7c75-9d9e-40ad-bf6e-dbb7639a4c88
relation.isAuthorOfPublicationd2f8166d-153a-4432-872a-270d5d00fbe1
relation.isAuthorOfPublication.latestForDiscovery32c38dc6-fa13-4497-9e49-aec5a6c1c211
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2020 - Diagnostic accuracy of the Structured Inventory of Malingered Symptomatology SIMS in motor vehicle accident patients-1.pdf
Size:
531.53 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.37 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Artículos
Load more