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Assessing validity of the Klenico diagnostic software system in a large psychotherapeutic inpatient sample

INTRODUCTION: Mental disorders are often underdiagnosed in routine diagnostic procedures due to the use of unstandardized assessments; this can result in people either not receiving necessary treatment or receiving ineffective treatment for their condition. Klenico is an online diagnostic software s...

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Autores principales: Reutimann, Stefan, Hübscher, Noah, Steiner, Jasmin, Voderholzer, Ulrich, Augsburger, Mareike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502166/
https://www.ncbi.nlm.nih.gov/pubmed/37720163
http://dx.doi.org/10.3389/fdgth.2023.1176130
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author Reutimann, Stefan
Hübscher, Noah
Steiner, Jasmin
Voderholzer, Ulrich
Augsburger, Mareike
author_facet Reutimann, Stefan
Hübscher, Noah
Steiner, Jasmin
Voderholzer, Ulrich
Augsburger, Mareike
author_sort Reutimann, Stefan
collection PubMed
description INTRODUCTION: Mental disorders are often underdiagnosed in routine diagnostic procedures due to the use of unstandardized assessments; this can result in people either not receiving necessary treatment or receiving ineffective treatment for their condition. Klenico is an online diagnostic software system that facilitates diagnosis of mental disorders in adults through the use of standardized procedures. The procedure encompasses two modules, self-report and clinical validation. The current study aimed to confirm the validity of the Klenico assessment in a large clinical sample. METHODS: Fully anonymized data from 495 adult inpatients were used. ICD-10 diagnoses were made during an initial interview by the clinical staff. Afterwards, patients filled out self-report questionnaires (BDI-II, BSI, EDE-Q, OCI-R, PHQ-D, and Y-BOCS) and completed the Klenico self-report module, which involves selecting and rating the severity of applicable symptoms. Finally, in the clinical validation module, mental health professionals validated the symptoms endorsed in the self-report module. Six Klenico domains were tested against patient self-reports and routine ICD-10 diagnoses by following the multitrait-multimethod approach. Internal consistency was assessed by calculating Cronbach's alpha. RESULTS: The Klenico depressive disorders, OCD, and somatoform disorders domains revealed high correlations with the congruent questionnaires (i.e., those pertaining to these specific disorders) and revealed low correlations with the noncongruent questionnaires (i.e., those pertaining to other disorders), therefore evidencing construct validity. For the eating disorders and psychotic disorders domains, divergent validity was demonstrated. For the anxiety disorders domain, although analysis mostly indicated construct validity, this should be further confirmed. DISCUSSION: Overall, the results largely confirmed the construct validity of the Klenico assessment, demonstrating its use as an easy-to-use, valid, standardized, and comprehensive instrument for diagnosing mental disorders.
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spelling pubmed-105021662023-09-16 Assessing validity of the Klenico diagnostic software system in a large psychotherapeutic inpatient sample Reutimann, Stefan Hübscher, Noah Steiner, Jasmin Voderholzer, Ulrich Augsburger, Mareike Front Digit Health Digital Health INTRODUCTION: Mental disorders are often underdiagnosed in routine diagnostic procedures due to the use of unstandardized assessments; this can result in people either not receiving necessary treatment or receiving ineffective treatment for their condition. Klenico is an online diagnostic software system that facilitates diagnosis of mental disorders in adults through the use of standardized procedures. The procedure encompasses two modules, self-report and clinical validation. The current study aimed to confirm the validity of the Klenico assessment in a large clinical sample. METHODS: Fully anonymized data from 495 adult inpatients were used. ICD-10 diagnoses were made during an initial interview by the clinical staff. Afterwards, patients filled out self-report questionnaires (BDI-II, BSI, EDE-Q, OCI-R, PHQ-D, and Y-BOCS) and completed the Klenico self-report module, which involves selecting and rating the severity of applicable symptoms. Finally, in the clinical validation module, mental health professionals validated the symptoms endorsed in the self-report module. Six Klenico domains were tested against patient self-reports and routine ICD-10 diagnoses by following the multitrait-multimethod approach. Internal consistency was assessed by calculating Cronbach's alpha. RESULTS: The Klenico depressive disorders, OCD, and somatoform disorders domains revealed high correlations with the congruent questionnaires (i.e., those pertaining to these specific disorders) and revealed low correlations with the noncongruent questionnaires (i.e., those pertaining to other disorders), therefore evidencing construct validity. For the eating disorders and psychotic disorders domains, divergent validity was demonstrated. For the anxiety disorders domain, although analysis mostly indicated construct validity, this should be further confirmed. DISCUSSION: Overall, the results largely confirmed the construct validity of the Klenico assessment, demonstrating its use as an easy-to-use, valid, standardized, and comprehensive instrument for diagnosing mental disorders. Frontiers Media S.A. 2023-08-24 /pmc/articles/PMC10502166/ /pubmed/37720163 http://dx.doi.org/10.3389/fdgth.2023.1176130 Text en © 2023 Reutimann, Hübscher, Steiner, Voderholzer and Augsburger. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Reutimann, Stefan
Hübscher, Noah
Steiner, Jasmin
Voderholzer, Ulrich
Augsburger, Mareike
Assessing validity of the Klenico diagnostic software system in a large psychotherapeutic inpatient sample
title Assessing validity of the Klenico diagnostic software system in a large psychotherapeutic inpatient sample
title_full Assessing validity of the Klenico diagnostic software system in a large psychotherapeutic inpatient sample
title_fullStr Assessing validity of the Klenico diagnostic software system in a large psychotherapeutic inpatient sample
title_full_unstemmed Assessing validity of the Klenico diagnostic software system in a large psychotherapeutic inpatient sample
title_short Assessing validity of the Klenico diagnostic software system in a large psychotherapeutic inpatient sample
title_sort assessing validity of the klenico diagnostic software system in a large psychotherapeutic inpatient sample
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502166/
https://www.ncbi.nlm.nih.gov/pubmed/37720163
http://dx.doi.org/10.3389/fdgth.2023.1176130
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