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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-10502166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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