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Using the analytic hierarchy process to assess the severity of psychopathological states

INTRODUCTION: Currently, there are known problems of assessing the severity of psychopathological states based on psychometric (rank) scales [1]. The main problem: ranks are non-numeric information that does not allow the simplest mathematical operations (summation, average) [2] and, as a result, th...

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Autores principales: Mitikhin, V., Solokhina, T., Tiumenkova, G., Kuzminova, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568139/
http://dx.doi.org/10.1192/j.eurpsy.2022.1951
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author Mitikhin, V.
Solokhina, T.
Tiumenkova, G.
Kuzminova, M.
author_facet Mitikhin, V.
Solokhina, T.
Tiumenkova, G.
Kuzminova, M.
author_sort Mitikhin, V.
collection PubMed
description INTRODUCTION: Currently, there are known problems of assessing the severity of psychopathological states based on psychometric (rank) scales [1]. The main problem: ranks are non-numeric information that does not allow the simplest mathematical operations (summation, average) [2] and, as a result, the impossibility of constructing correct models for evaluating states OBJECTIVES: Development of algorithms for processing initial rank information about the severity of psychopathological states in order to obtain results in numerical form based on the Analytic Hierarchy Process (AHP) [2] METHODS: Clinical, statistical, algorithms of the AHP. RESULTS: The problems of assessing the patient’s states are multicriteria. They are solved within the framework of AHP by constructing numerical intensity scales when measuring the dimensions of disorders. This means a correct transition from the rank scale to the scale of relations, in which the estimates are numbers that allow any mathematical operations. The implementation of AHP procedures is based on the application of the AHP normative approach [2], which uses expert comparisons of ratings of the rank scale. CONCLUSIONS: The fundamental difference between the results based on AHP and rank results is due to the fact that numerical estimates of the severity of states are obtained, which can be used for any mathematical processing and the construction of correct models of communication and prediction of the state of patients from many factors, taking into account their weight. References: 1. Zimmerman M., Morgan T.A., Stanton K. World Psychiatry. 2018;17: 258–275. 2. Mitikhin, V.G., Solokhina, T.A. S.S. Korsakov Journal of Neurology and Psychiatry. 2019; 119(2): 49-54. DISCLOSURE: No significant relationships.
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spelling pubmed-95681392022-10-17 Using the analytic hierarchy process to assess the severity of psychopathological states Mitikhin, V. Solokhina, T. Tiumenkova, G. Kuzminova, M. Eur Psychiatry Abstract INTRODUCTION: Currently, there are known problems of assessing the severity of psychopathological states based on psychometric (rank) scales [1]. The main problem: ranks are non-numeric information that does not allow the simplest mathematical operations (summation, average) [2] and, as a result, the impossibility of constructing correct models for evaluating states OBJECTIVES: Development of algorithms for processing initial rank information about the severity of psychopathological states in order to obtain results in numerical form based on the Analytic Hierarchy Process (AHP) [2] METHODS: Clinical, statistical, algorithms of the AHP. RESULTS: The problems of assessing the patient’s states are multicriteria. They are solved within the framework of AHP by constructing numerical intensity scales when measuring the dimensions of disorders. This means a correct transition from the rank scale to the scale of relations, in which the estimates are numbers that allow any mathematical operations. The implementation of AHP procedures is based on the application of the AHP normative approach [2], which uses expert comparisons of ratings of the rank scale. CONCLUSIONS: The fundamental difference between the results based on AHP and rank results is due to the fact that numerical estimates of the severity of states are obtained, which can be used for any mathematical processing and the construction of correct models of communication and prediction of the state of patients from many factors, taking into account their weight. References: 1. Zimmerman M., Morgan T.A., Stanton K. World Psychiatry. 2018;17: 258–275. 2. Mitikhin, V.G., Solokhina, T.A. S.S. Korsakov Journal of Neurology and Psychiatry. 2019; 119(2): 49-54. DISCLOSURE: No significant relationships. Cambridge University Press 2022-09-01 /pmc/articles/PMC9568139/ http://dx.doi.org/10.1192/j.eurpsy.2022.1951 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Mitikhin, V.
Solokhina, T.
Tiumenkova, G.
Kuzminova, M.
Using the analytic hierarchy process to assess the severity of psychopathological states
title Using the analytic hierarchy process to assess the severity of psychopathological states
title_full Using the analytic hierarchy process to assess the severity of psychopathological states
title_fullStr Using the analytic hierarchy process to assess the severity of psychopathological states
title_full_unstemmed Using the analytic hierarchy process to assess the severity of psychopathological states
title_short Using the analytic hierarchy process to assess the severity of psychopathological states
title_sort using the analytic hierarchy process to assess the severity of psychopathological states
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568139/
http://dx.doi.org/10.1192/j.eurpsy.2022.1951
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