Development of a multimorbidity illness perceptions scale (MULTIPleS)
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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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The Multimorbidity Illness Perceptions Scale (MULTIPleS) provided a good fit to the Rasch model and demonstrated evidence of reliability and validity for each subscale.
“Gibbons et al 62 found that the scale provided a good fit to the Rasch model and demonstrated evidence of reliability and validity for each of the subscales.”
From Investigating the effectiveness of an online acceptance and commitment therapy (ACT) intervention versus a waiting list control condition on pain interference and quality of life in adults with chronic pain and multimorbidity: Protocol for a randomised controlled trial (2019) · cites this paper as [62]
The MULTIPleS was developed to measure patient illness perceptions in the context of multimorbidity.
“The Multimorbidity Illness Perceptions Scale (MULTIPleS)62 was developed to measure patient illness perceptions in the context of multimorbidity.”
From Investigating the effectiveness of an online acceptance and commitment therapy (ACT) intervention versus a waiting list control condition on pain interference and quality of life in adults with chronic pain and multimorbidity: Protocol for a randomised controlled trial (2019) · cites this paper as [62]
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Cognitive and Emotional Perceptions of Illness in Patients Diagnosed with Type 2 Diabetes Mellitus
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Addressing the treatment burden of multimorbidity
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Self-Management of Rural Adults with Multimorbidity: A Cross-Sectional Descriptive Study
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System-Based Intervention for Medical Providers to Improve Dental Attendance in Adult Primary Care
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Self-management by Hospitalized Older Adults Based on Self-regulation: a Structural Equation ModelPreprint
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ปจจยทำนายความแปรปรวนในการนอนหลบของผรอดชวตจากโรคกลามเนอหวใจตายเฉยบพลน
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- Authors
- Gibbons, C. J., Kenning, C., Coventry, P. A., Bee, P., Bundy, C., Fisher, L., & Bower, P.
- Affiliations
- Manchester Academic Health Science Centre (GB)
- University of Manchester (GB)
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-12-20
- Volume
- 8
- Issue
- 12
- Pages
- e81852
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3869652
- OpenAlex
- W2130847010
- Cited by
- 94
- References
- 44
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 12 · 2023: 4 · 2022: 12 · 2021: 11 · 2020: 9 · 2019: 9 · 2018: 5 · 2017: 10 · 2016: 4 · 2015: 3 · 2014: 2
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institute for Health and Care Research
- NIHR School for Primary Care Research
- Topics
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Education › Health Education and Validation
- Keywords
- multimorbidity, illness perception, scale development, Rasch analysis, chronic disease, treatment burden, emotion representation, causal beliefs, activity limitation, floor effect, psychometric validation, quality of life
- MeSH terms
- Demography, Factor Analysis, Statistical, Humans, Morbidity, Surveys and Questionnaires, Reproducibility of Results, Comorbidity, Logistic Models, Critical Illness, Nomograms
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