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Development of the PREMIUM Computerized Adaptive Testing for Measuring the Quality of Information Delivered to Patients with Severe Mental Illnesses
Measuring the quality of information delivered to patients with severe mental illness (SMI), i.e., schizophrenia, bipolar disorders, and major depressive disorders, is essential to improve their quality of care. In this work, we described the different steps of the validation of the PREMIUM computer...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696867/ https://www.ncbi.nlm.nih.gov/pubmed/36431164 http://dx.doi.org/10.3390/jcm11226687 |
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author | Boyer, Laurent Fernandes, Sara Tran, Bach Xuan Fond, Guillaume |
author_facet | Boyer, Laurent Fernandes, Sara Tran, Bach Xuan Fond, Guillaume |
author_sort | Boyer, Laurent |
collection | PubMed |
description | Measuring the quality of information delivered to patients with severe mental illness (SMI), i.e., schizophrenia, bipolar disorders, and major depressive disorders, is essential to improve their quality of care. In this work, we described the different steps of the validation of the PREMIUM computerized adaptive testing (CAT) for measuring the quality of information delivered to patients with SMI. The PREMIUM item bank regarding information included 25 items. A total of 499 patients with schizophrenia (53%), bipolar disorders (26%), and major depressive disorders (22%) were recruited from numerous in- and outpatient settings in France. Unidimensionality, local independence, and monotonicity were verified for 19 items of the item bank. The psychometric properties were satisfactory for both internal (RMSEA = 0.069, CFI = 0.969, TLI = 0.963) and external validity (in particular, significant associations were found with age, educational level, and social functioning). The CAT exhibited satisfactory accuracy and precision (standard error of measurement <0.55 and root mean square error <0.3), with an average administration of eight items. This CAT may be used by healthcare professionals in psychiatric settings to accurately assess the patients’ experience with information. |
format | Online Article Text |
id | pubmed-9696867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96968672022-11-26 Development of the PREMIUM Computerized Adaptive Testing for Measuring the Quality of Information Delivered to Patients with Severe Mental Illnesses Boyer, Laurent Fernandes, Sara Tran, Bach Xuan Fond, Guillaume J Clin Med Article Measuring the quality of information delivered to patients with severe mental illness (SMI), i.e., schizophrenia, bipolar disorders, and major depressive disorders, is essential to improve their quality of care. In this work, we described the different steps of the validation of the PREMIUM computerized adaptive testing (CAT) for measuring the quality of information delivered to patients with SMI. The PREMIUM item bank regarding information included 25 items. A total of 499 patients with schizophrenia (53%), bipolar disorders (26%), and major depressive disorders (22%) were recruited from numerous in- and outpatient settings in France. Unidimensionality, local independence, and monotonicity were verified for 19 items of the item bank. The psychometric properties were satisfactory for both internal (RMSEA = 0.069, CFI = 0.969, TLI = 0.963) and external validity (in particular, significant associations were found with age, educational level, and social functioning). The CAT exhibited satisfactory accuracy and precision (standard error of measurement <0.55 and root mean square error <0.3), with an average administration of eight items. This CAT may be used by healthcare professionals in psychiatric settings to accurately assess the patients’ experience with information. MDPI 2022-11-11 /pmc/articles/PMC9696867/ /pubmed/36431164 http://dx.doi.org/10.3390/jcm11226687 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Boyer, Laurent Fernandes, Sara Tran, Bach Xuan Fond, Guillaume Development of the PREMIUM Computerized Adaptive Testing for Measuring the Quality of Information Delivered to Patients with Severe Mental Illnesses |
title | Development of the PREMIUM Computerized Adaptive Testing for Measuring the Quality of Information Delivered to Patients with Severe Mental Illnesses |
title_full | Development of the PREMIUM Computerized Adaptive Testing for Measuring the Quality of Information Delivered to Patients with Severe Mental Illnesses |
title_fullStr | Development of the PREMIUM Computerized Adaptive Testing for Measuring the Quality of Information Delivered to Patients with Severe Mental Illnesses |
title_full_unstemmed | Development of the PREMIUM Computerized Adaptive Testing for Measuring the Quality of Information Delivered to Patients with Severe Mental Illnesses |
title_short | Development of the PREMIUM Computerized Adaptive Testing for Measuring the Quality of Information Delivered to Patients with Severe Mental Illnesses |
title_sort | development of the premium computerized adaptive testing for measuring the quality of information delivered to patients with severe mental illnesses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696867/ https://www.ncbi.nlm.nih.gov/pubmed/36431164 http://dx.doi.org/10.3390/jcm11226687 |
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