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A study of diagnostic accuracy of the Florida Obsessive-Compulsive Inventory – Thai Version (FOCI-T)

BACKGROUND: The Florida Obsessive-Compulsive Inventory (FOCI) is a self-reported measure to assess the symptoms and severity of obsessive-compulsive disorder (OCD), which can be completed in five minutes. Although preliminary studies have shown its good psychometric properties, the study of receiver...

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Autores principales: Saipanish, Ratana, Hiranyatheb, Thanita, Jullagate, Sudawan, Lotrakul, Manote
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619283/
https://www.ncbi.nlm.nih.gov/pubmed/26467991
http://dx.doi.org/10.1186/s12888-015-0643-2
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author Saipanish, Ratana
Hiranyatheb, Thanita
Jullagate, Sudawan
Lotrakul, Manote
author_facet Saipanish, Ratana
Hiranyatheb, Thanita
Jullagate, Sudawan
Lotrakul, Manote
author_sort Saipanish, Ratana
collection PubMed
description BACKGROUND: The Florida Obsessive-Compulsive Inventory (FOCI) is a self-reported measure to assess the symptoms and severity of obsessive-compulsive disorder (OCD), which can be completed in five minutes. Although preliminary studies have shown its good psychometric properties, the study of receiver operating characteristics (ROC) to use it as a screening tool has never been reported elsewhere. This study aimed to use the ROC analysis to determine the optimal cut-off score of the Thai version of the FOCI (FOCI-T). METHODS: A total of 197 participants completed the FOCI-T, the Patient Health Questionnaire (PHQ-9), and the Pictorial Thai Quality of Life (PTQL), and they were also interviewed with the Mini International Neuropsychiatric Interview (MINI) for their diagnosis. The ROC analyses of the FOCI-T Severity Scores were computed to determine the best cut-off score. RESULTS: When the Thai version of the MINI was used in the interview, it was found that 38 participants were diagnosed with OCD, 43 participants were non-OCD, and 116 participants were healthy adults. The ROC analyses indicated that the FOCI-T Severity Scale could significantly distinguish OCD patients from non-OCD patients and healthy adults. The area under curve was estimated to be 0.945 (95%CI = 0.903-0.972). A cut-off score of ≥5 provided the best sensitivity (0.92) and specificity (0.82). CONCLUSION: The Thai version of the Florida Obsessive-Compulsive Inventory has demonstrated its good predictive abilities, so it could be used as a brief screening tool to detect obsessive-compulsive disorder patients with high sensitivity and specificity.
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spelling pubmed-46192832015-10-26 A study of diagnostic accuracy of the Florida Obsessive-Compulsive Inventory – Thai Version (FOCI-T) Saipanish, Ratana Hiranyatheb, Thanita Jullagate, Sudawan Lotrakul, Manote BMC Psychiatry Research Article BACKGROUND: The Florida Obsessive-Compulsive Inventory (FOCI) is a self-reported measure to assess the symptoms and severity of obsessive-compulsive disorder (OCD), which can be completed in five minutes. Although preliminary studies have shown its good psychometric properties, the study of receiver operating characteristics (ROC) to use it as a screening tool has never been reported elsewhere. This study aimed to use the ROC analysis to determine the optimal cut-off score of the Thai version of the FOCI (FOCI-T). METHODS: A total of 197 participants completed the FOCI-T, the Patient Health Questionnaire (PHQ-9), and the Pictorial Thai Quality of Life (PTQL), and they were also interviewed with the Mini International Neuropsychiatric Interview (MINI) for their diagnosis. The ROC analyses of the FOCI-T Severity Scores were computed to determine the best cut-off score. RESULTS: When the Thai version of the MINI was used in the interview, it was found that 38 participants were diagnosed with OCD, 43 participants were non-OCD, and 116 participants were healthy adults. The ROC analyses indicated that the FOCI-T Severity Scale could significantly distinguish OCD patients from non-OCD patients and healthy adults. The area under curve was estimated to be 0.945 (95%CI = 0.903-0.972). A cut-off score of ≥5 provided the best sensitivity (0.92) and specificity (0.82). CONCLUSION: The Thai version of the Florida Obsessive-Compulsive Inventory has demonstrated its good predictive abilities, so it could be used as a brief screening tool to detect obsessive-compulsive disorder patients with high sensitivity and specificity. BioMed Central 2015-10-14 /pmc/articles/PMC4619283/ /pubmed/26467991 http://dx.doi.org/10.1186/s12888-015-0643-2 Text en © Saipanish et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Saipanish, Ratana
Hiranyatheb, Thanita
Jullagate, Sudawan
Lotrakul, Manote
A study of diagnostic accuracy of the Florida Obsessive-Compulsive Inventory – Thai Version (FOCI-T)
title A study of diagnostic accuracy of the Florida Obsessive-Compulsive Inventory – Thai Version (FOCI-T)
title_full A study of diagnostic accuracy of the Florida Obsessive-Compulsive Inventory – Thai Version (FOCI-T)
title_fullStr A study of diagnostic accuracy of the Florida Obsessive-Compulsive Inventory – Thai Version (FOCI-T)
title_full_unstemmed A study of diagnostic accuracy of the Florida Obsessive-Compulsive Inventory – Thai Version (FOCI-T)
title_short A study of diagnostic accuracy of the Florida Obsessive-Compulsive Inventory – Thai Version (FOCI-T)
title_sort study of diagnostic accuracy of the florida obsessive-compulsive inventory – thai version (foci-t)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619283/
https://www.ncbi.nlm.nih.gov/pubmed/26467991
http://dx.doi.org/10.1186/s12888-015-0643-2
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