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Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness

Most patient-reported experience measures (PREMs) are paper-based, leading to a high burden for patients and care providers. The aim of this study was to (1) calibrate an item bank to measure patients’ experience of respect and dignity for adult patients with serious mental illnesses and (2) develop...

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Autores principales: Fernandes, Sara, Fond, Guillaume, Zendjidjian, Xavier, Michel, Pierre, Baumstarck, Karine, Lançon, Christophe, Samalin, Ludovic, Llorca, Pierre-Michel, Coldefy, Magali, Auquier, Pascal, Boyer, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954414/
https://www.ncbi.nlm.nih.gov/pubmed/35329970
http://dx.doi.org/10.3390/jcm11061644
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author Fernandes, Sara
Fond, Guillaume
Zendjidjian, Xavier
Michel, Pierre
Baumstarck, Karine
Lançon, Christophe
Samalin, Ludovic
Llorca, Pierre-Michel
Coldefy, Magali
Auquier, Pascal
Boyer, Laurent
author_facet Fernandes, Sara
Fond, Guillaume
Zendjidjian, Xavier
Michel, Pierre
Baumstarck, Karine
Lançon, Christophe
Samalin, Ludovic
Llorca, Pierre-Michel
Coldefy, Magali
Auquier, Pascal
Boyer, Laurent
author_sort Fernandes, Sara
collection PubMed
description Most patient-reported experience measures (PREMs) are paper-based, leading to a high burden for patients and care providers. The aim of this study was to (1) calibrate an item bank to measure patients’ experience of respect and dignity for adult patients with serious mental illnesses and (2) develop computerized adaptive testing (CAT) to improve the use of this PREM in routine practice. Patients with schizophrenia, bipolar disorder, and major depressive disorder were enrolled in this multicenter and cross-sectional study. Psychometric analyses were based on classical test and item response theories and included evaluations of unidimensionality, local independence, and monotonicity; calibration and evaluation of model fit; analyses of differential item functioning (DIF); testing of external validity; and finally, CAT development. A total of 458 patients participated in the study. Of the 24 items, 2 highly inter-correlated items were deleted. Factor analysis showed that the remaining items met the unidimensional assumption (RMSEA = 0.054, CFI = 0.988, TLI = 0.986). DIF analyses revealed no biases by sex, age, care setting, or diagnosis. External validity testing has generally supported our assumptions. CAT showed satisfactory accuracy and precision. This work provides a more accurate and flexible measure of patients’ experience of respect and dignity than that obtained from standard questionnaires.
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spelling pubmed-89544142022-03-26 Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness Fernandes, Sara Fond, Guillaume Zendjidjian, Xavier Michel, Pierre Baumstarck, Karine Lançon, Christophe Samalin, Ludovic Llorca, Pierre-Michel Coldefy, Magali Auquier, Pascal Boyer, Laurent J Clin Med Article Most patient-reported experience measures (PREMs) are paper-based, leading to a high burden for patients and care providers. The aim of this study was to (1) calibrate an item bank to measure patients’ experience of respect and dignity for adult patients with serious mental illnesses and (2) develop computerized adaptive testing (CAT) to improve the use of this PREM in routine practice. Patients with schizophrenia, bipolar disorder, and major depressive disorder were enrolled in this multicenter and cross-sectional study. Psychometric analyses were based on classical test and item response theories and included evaluations of unidimensionality, local independence, and monotonicity; calibration and evaluation of model fit; analyses of differential item functioning (DIF); testing of external validity; and finally, CAT development. A total of 458 patients participated in the study. Of the 24 items, 2 highly inter-correlated items were deleted. Factor analysis showed that the remaining items met the unidimensional assumption (RMSEA = 0.054, CFI = 0.988, TLI = 0.986). DIF analyses revealed no biases by sex, age, care setting, or diagnosis. External validity testing has generally supported our assumptions. CAT showed satisfactory accuracy and precision. This work provides a more accurate and flexible measure of patients’ experience of respect and dignity than that obtained from standard questionnaires. MDPI 2022-03-16 /pmc/articles/PMC8954414/ /pubmed/35329970 http://dx.doi.org/10.3390/jcm11061644 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
Fernandes, Sara
Fond, Guillaume
Zendjidjian, Xavier
Michel, Pierre
Baumstarck, Karine
Lançon, Christophe
Samalin, Ludovic
Llorca, Pierre-Michel
Coldefy, Magali
Auquier, Pascal
Boyer, Laurent
Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness
title Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness
title_full Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness
title_fullStr Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness
title_full_unstemmed Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness
title_short Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness
title_sort development and calibration of the premium item bank for measuring respect and dignity for patients with severe mental illness
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954414/
https://www.ncbi.nlm.nih.gov/pubmed/35329970
http://dx.doi.org/10.3390/jcm11061644
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