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Development of a Multimorbidity Illness Perceptions Scale (MULTIPleS)

BACKGROUND: Illness perceptions are beliefs about the cause, nature and management of illness, which enable patients to make sense of their conditions. These perceptions can predict adjustment and quality of life in patients with single conditions. However, multimorbidity (i.e. patients with multipl...

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Autores principales: Gibbons, Chris J., Kenning, Cassandra, Coventry, Peter A., Bee, Penny, Bundy, Christine, Fisher, Louise, Bower, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3869652/
https://www.ncbi.nlm.nih.gov/pubmed/24376504
http://dx.doi.org/10.1371/journal.pone.0081852
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author Gibbons, Chris J.
Kenning, Cassandra
Coventry, Peter A.
Bee, Penny
Bundy, Christine
Fisher, Louise
Bower, Peter
author_facet Gibbons, Chris J.
Kenning, Cassandra
Coventry, Peter A.
Bee, Penny
Bundy, Christine
Fisher, Louise
Bower, Peter
author_sort Gibbons, Chris J.
collection PubMed
description BACKGROUND: Illness perceptions are beliefs about the cause, nature and management of illness, which enable patients to make sense of their conditions. These perceptions can predict adjustment and quality of life in patients with single conditions. However, multimorbidity (i.e. patients with multiple long-term conditions) is increasingly prevalent and a key challenge for future health care delivery. The objective of this research was to develop a valid and reliable measure of illness perceptions for multimorbid patients. METHODS: Candidate items were derived from previous qualitative research with multimorbid patients. Questionnaires were posted to 1500 patients with two or more exemplar long-term conditions (depression, diabetes, osteoarthritis, coronary heart disease and chronic obstructive pulmonary disease). Data were analysed using factor analysis and Rasch analysis. Rasch analysis is a modern psychometric technique for deriving unidimensional and intervally-scaled questionnaires. RESULTS: Questionnaires from 490 eligible patients (32.6% response) were returned. Exploratory factor analysis revealed five potential subscales ‘Emotional representations’, ‘Treatment burden’, ‘Prioritising conditions’, ‘Causal links’ and ‘Activity limitations’. Rasch analysis led to further item reduction and the generation of a summary scale comprising of items from all scales. All scales were unidimensional and free from differential item functioning or local independence of items. All scales were reliable, but for each subscale there were a number of patients who scored at the floor of the scale. CONCLUSIONS: The MULTIPleS measure consists of five individual subscales and a 22-item summary scale that measures the perceived impact of multimorbidity. All scales showed good fit to the Rasch model and preliminary evidence of reliability and validity. A number of patients scored at floor of each subscale, which may reflect variation in the perception of multimorbidity. The MULTIPleS measure will facilitate research into the impact of illness perceptions on adjustment, clinical outcomes, quality of life, and costs in patients with multimorbidity.
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spelling pubmed-38696522013-12-27 Development of a Multimorbidity Illness Perceptions Scale (MULTIPleS) Gibbons, Chris J. Kenning, Cassandra Coventry, Peter A. Bee, Penny Bundy, Christine Fisher, Louise Bower, Peter PLoS One Research Article BACKGROUND: Illness perceptions are beliefs about the cause, nature and management of illness, which enable patients to make sense of their conditions. These perceptions can predict adjustment and quality of life in patients with single conditions. However, multimorbidity (i.e. patients with multiple long-term conditions) is increasingly prevalent and a key challenge for future health care delivery. The objective of this research was to develop a valid and reliable measure of illness perceptions for multimorbid patients. METHODS: Candidate items were derived from previous qualitative research with multimorbid patients. Questionnaires were posted to 1500 patients with two or more exemplar long-term conditions (depression, diabetes, osteoarthritis, coronary heart disease and chronic obstructive pulmonary disease). Data were analysed using factor analysis and Rasch analysis. Rasch analysis is a modern psychometric technique for deriving unidimensional and intervally-scaled questionnaires. RESULTS: Questionnaires from 490 eligible patients (32.6% response) were returned. Exploratory factor analysis revealed five potential subscales ‘Emotional representations’, ‘Treatment burden’, ‘Prioritising conditions’, ‘Causal links’ and ‘Activity limitations’. Rasch analysis led to further item reduction and the generation of a summary scale comprising of items from all scales. All scales were unidimensional and free from differential item functioning or local independence of items. All scales were reliable, but for each subscale there were a number of patients who scored at the floor of the scale. CONCLUSIONS: The MULTIPleS measure consists of five individual subscales and a 22-item summary scale that measures the perceived impact of multimorbidity. All scales showed good fit to the Rasch model and preliminary evidence of reliability and validity. A number of patients scored at floor of each subscale, which may reflect variation in the perception of multimorbidity. The MULTIPleS measure will facilitate research into the impact of illness perceptions on adjustment, clinical outcomes, quality of life, and costs in patients with multimorbidity. Public Library of Science 2013-12-20 /pmc/articles/PMC3869652/ /pubmed/24376504 http://dx.doi.org/10.1371/journal.pone.0081852 Text en © 2013 Gibbons et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Gibbons, Chris J.
Kenning, Cassandra
Coventry, Peter A.
Bee, Penny
Bundy, Christine
Fisher, Louise
Bower, Peter
Development of a Multimorbidity Illness Perceptions Scale (MULTIPleS)
title Development of a Multimorbidity Illness Perceptions Scale (MULTIPleS)
title_full Development of a Multimorbidity Illness Perceptions Scale (MULTIPleS)
title_fullStr Development of a Multimorbidity Illness Perceptions Scale (MULTIPleS)
title_full_unstemmed Development of a Multimorbidity Illness Perceptions Scale (MULTIPleS)
title_short Development of a Multimorbidity Illness Perceptions Scale (MULTIPleS)
title_sort development of a multimorbidity illness perceptions scale (multiples)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3869652/
https://www.ncbi.nlm.nih.gov/pubmed/24376504
http://dx.doi.org/10.1371/journal.pone.0081852
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