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dc.creatorRistić, Aleksandar J.
dc.creatorPjevalica, Jelena
dc.creatorTrajković, Goran
dc.creatorParojčić, Aleksandra
dc.creatorMihajlović, Ana
dc.creatorVojvodić, Nikola
dc.creatorBascarević, Vladimir
dc.creatorPopović, Tamara B.
dc.creatorJanković, Slavko
dc.creatorSokić, Dragoslav
dc.date.accessioned2021-04-20T12:49:00Z
dc.date.available2021-04-20T12:49:00Z
dc.date.issued2016
dc.identifier.issn1525-5050
dc.identifier.urihttp://rimi.imi.bg.ac.rs/handle/123456789/725
dc.description.abstractThe Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) was developed and proven efficient for the rapid detection of a major depressive episode in people with epilepsy. This study describes the development, validation, and psychometric properties of the NDDI-E Serbian version. A consecutive sample of 103 patients with epilepsy was assessed using the Beck Depression Inventory (BDI) and the NDDI-E. All patients had no major difficulties in understanding or answering the questions of the Serbian version. Cronbach's alpha coefficient was 0.763. Receiver operating characteristic analysis showed an area under the curve of 0.943 (95% CI; 0.826 to 0.951), a cutoff score of gt = 14, a sensitivity of 72.2%, a specificity of 95.2%, a positive predictive value of 81.3%, and a negative predictive value of 94.3%. The NDDI-E Serbian version scores were significantly and positively correlated with those of the BDI (p lt 0.001). The NDDI-E Serbian version constitutes a concise and consistent depression screening instrument for patients with epilepsy.en
dc.publisherAcademic Press Inc Elsevier Science, San Diego
dc.rightsrestrictedAccess
dc.sourceEpilepsy & Behavior
dc.subjectNDDI-Een
dc.subjectSerbian versionen
dc.subjectDepressionen
dc.subjectScreening instrumenten
dc.subjectEpilepsyen
dc.titleValidation of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) Serbian versionen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage4
dc.citation.other57: 1-4
dc.citation.rankM22
dc.citation.spage1
dc.citation.volume57
dc.identifier.doi10.1016/j.yebeh.2016.01.017
dc.identifier.pmid26900772
dc.identifier.scopus2-s2.0-84958553890
dc.identifier.wos000374256700001
dc.type.versionpublishedVersion


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