ArticlePloS one2013
Development of a multimorbidity illness perceptions scale (MULTIPleS).
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 4 of them syntheses that pooled it.
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Who cites it
62 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Patient-reported outcome measures for patients with chronic comorbidities: a systematic review of psychometric properties.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Pooled it
- Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis.BMJ open · 2021Pooled it
- Decreasing patient-reported burden of treatment: A systematic review of quantitative interventional studies.PloS one · 2021Pooled it
- Pooled it
- Integrated primary care for patients with mental and physical multimorbidity: cluster randomised controlled trial of collaborative care for patients with depression comorbid with diabetes or cardiovascular disease.BMJ (Clinical research ed.) · 2015Trial
- Illness perception and self-management behaviours in adults with multimorbidity: a systematic review protocol.BMJ open · 2026Article
- Measuring treatment burden with the treatment burden questionnaire (TBQ): a narrative literature review and implications for geriatric research and clinical practice.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Review
- Adaptation and psychometric validation of treatment burden questionnaire for caregivers of older adults with diabetes and dementia.Aging & mental health · 2026Article
- Article
- Clinical utility of the Arabic medication-related burden quality of life (MRB-QoL) tool in hospital-based medicines optimisation services: A mixed methods feasibility study.Exploratory research in clinical and social pharmacy · 2025Article
- Treatment Burden Among Older Adults in the United States, 2022.Journal of the American Geriatrics Society · 2025Article
- The Medication-Related Burden Quality of Life (MRB-QoL) tool: A confirmatory factor analysis of the Arabic version.Exploratory research in clinical and social pharmacy · 2025Article
- The Arabic medication-related burden quality of life (MRB-QoL) tool: Cross-cultural adaptation and content validation.Exploratory research in clinical and social pharmacy · 2024Article
- System-Based Intervention for Medical Providers to Improve Dental Attendance in Adult Primary Care.JDR clinical and translational research · 2024Article
- Further development and validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ).BMJ open · 2024Article
- Cognitive and Emotional Perceptions of Illness in Patients Diagnosed with Type 2 Diabetes Mellitus.Healthcare (Basel, Switzerland) · 2024Article
- Implementing integrated hypertension and diabetes management using the World Health Organization's HEARTS model: protocol for a pilot study in the Guatemalan national primary care system.Implementation science communications · 2024Article
- Validation of the Lithuanian multimorbidity treatment burden questionnaire (MTBQ) and its association with primary care patient characteristics.The European journal of general practice · 2023Article
- Exploring illness perceptions of multimorbidity among community-dwelling older adults: a mixed methods study.Aging and health research · 2023Article
- Scoping review of measures of treatment burden in patients with multimorbidity: advancements and current gaps.Journal of clinical epidemiology · 2023Article
2 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
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Abstract
backgroundIllness 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.
methodsCandidate 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.
resultsQuestionnaires 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.
conclusionsThe 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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.