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Examination of categorical approach to symptom assessment: cross-validation of foulds’ Delusions-Symptoms-States Inventory with Korean non-patient and patient groups
BACKGROUND: Foulds’ Delusions-Symptoms-State Inventory (DSSI) has been purported to be a reliable, systematic categorical measure to assess the patients with schizophrenia according to the degree of illness. However, further cross-validations using other clinical measures and diverse samples from ot...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816604/ https://www.ncbi.nlm.nih.gov/pubmed/24103322 http://dx.doi.org/10.1186/1471-244X-13-251 |
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author | Hwang, Samuel Suk-Hyun Kim, Yeni Chang, Jae Seung Yun, Da Young Kim, Yong Sik Jung, Hee Yeon |
author_facet | Hwang, Samuel Suk-Hyun Kim, Yeni Chang, Jae Seung Yun, Da Young Kim, Yong Sik Jung, Hee Yeon |
author_sort | Hwang, Samuel Suk-Hyun |
collection | PubMed |
description | BACKGROUND: Foulds’ Delusions-Symptoms-State Inventory (DSSI) has been purported to be a reliable, systematic categorical measure to assess the patients with schizophrenia according to the degree of illness. However, further cross-validations using other clinical measures and diverse samples from other cultures have not been advanced recently. We aimed to examine the validity of the DSSI hierarchical class model using both Korean non-patient and patient (schizophrenia and depression) groups. METHOD: The hypothesis of inclusive, non-reflexive relationships among the DSSI classes was tested. The power of DSSI to detect presence of symptoms was assessed via cross-validation with other clinical measures, and the differences between the clinical features among the DSSI classes were examined using the Minnesota Multiphasic Personality Inventory (MMPI). RESULTS: The high rate of model conformity (91.1%) across the samples and cross-validation with other criterion measures provided further support for the validity of DSSI. CONCLUSIONS: DSSI is a reliable self-report measure that can be applied to both patient and non-patients to assess the presence and severity of psychiatric illness. Future studies that include more diverse clinical groups are necessary to lend further support for its utility in clinical practice. |
format | Online Article Text |
id | pubmed-3816604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38166042013-11-05 Examination of categorical approach to symptom assessment: cross-validation of foulds’ Delusions-Symptoms-States Inventory with Korean non-patient and patient groups Hwang, Samuel Suk-Hyun Kim, Yeni Chang, Jae Seung Yun, Da Young Kim, Yong Sik Jung, Hee Yeon BMC Psychiatry Research Article BACKGROUND: Foulds’ Delusions-Symptoms-State Inventory (DSSI) has been purported to be a reliable, systematic categorical measure to assess the patients with schizophrenia according to the degree of illness. However, further cross-validations using other clinical measures and diverse samples from other cultures have not been advanced recently. We aimed to examine the validity of the DSSI hierarchical class model using both Korean non-patient and patient (schizophrenia and depression) groups. METHOD: The hypothesis of inclusive, non-reflexive relationships among the DSSI classes was tested. The power of DSSI to detect presence of symptoms was assessed via cross-validation with other clinical measures, and the differences between the clinical features among the DSSI classes were examined using the Minnesota Multiphasic Personality Inventory (MMPI). RESULTS: The high rate of model conformity (91.1%) across the samples and cross-validation with other criterion measures provided further support for the validity of DSSI. CONCLUSIONS: DSSI is a reliable self-report measure that can be applied to both patient and non-patients to assess the presence and severity of psychiatric illness. Future studies that include more diverse clinical groups are necessary to lend further support for its utility in clinical practice. BioMed Central 2013-10-08 /pmc/articles/PMC3816604/ /pubmed/24103322 http://dx.doi.org/10.1186/1471-244X-13-251 Text en Copyright © 2013 Hwang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hwang, Samuel Suk-Hyun Kim, Yeni Chang, Jae Seung Yun, Da Young Kim, Yong Sik Jung, Hee Yeon Examination of categorical approach to symptom assessment: cross-validation of foulds’ Delusions-Symptoms-States Inventory with Korean non-patient and patient groups |
title | Examination of categorical approach to symptom assessment: cross-validation of foulds’ Delusions-Symptoms-States Inventory with Korean non-patient and patient groups |
title_full | Examination of categorical approach to symptom assessment: cross-validation of foulds’ Delusions-Symptoms-States Inventory with Korean non-patient and patient groups |
title_fullStr | Examination of categorical approach to symptom assessment: cross-validation of foulds’ Delusions-Symptoms-States Inventory with Korean non-patient and patient groups |
title_full_unstemmed | Examination of categorical approach to symptom assessment: cross-validation of foulds’ Delusions-Symptoms-States Inventory with Korean non-patient and patient groups |
title_short | Examination of categorical approach to symptom assessment: cross-validation of foulds’ Delusions-Symptoms-States Inventory with Korean non-patient and patient groups |
title_sort | examination of categorical approach to symptom assessment: cross-validation of foulds’ delusions-symptoms-states inventory with korean non-patient and patient groups |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816604/ https://www.ncbi.nlm.nih.gov/pubmed/24103322 http://dx.doi.org/10.1186/1471-244X-13-251 |
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