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Illness representations in patients with multimorbid long-term conditions: qualitative study
Peter Bower1, Elaine Harkness, Wendy Macdonald
1NIHR School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PL, UK. peter.bower@manchester.ac.uk
Psychology & Health
|March 7, 2012
Summary
Multimorbidity significantly alters how patients perceive their individual illnesses and the overall condition. Understanding these illness representations is key for effective patient care and health outcomes.
Area of Science:
- Health Psychology
- Qualitative Research
- Patient Experience
Background:
- Most illness representation research focuses on single conditions.
- Multimorbidity, having multiple long-term conditions, is common but understudied in this context.
- The impact of multimorbidity on patient illness representations remains largely unknown.
Purpose of the Study:
- To explore patient representations of multimorbid long-term conditions.
- To assess how illness representation models need modification for multimorbidity.
- To investigate the impact of multimorbidity on individual condition perceptions and the representation of multimorbidity itself.
Main Methods:
- Exploratory qualitative study.
- Interviews conducted with 28 adults experiencing at least two long-term conditions (mean of 4).
- Analysis focused on illness representations across identity, perceived cause, coherence, and consequences.
Main Results:
- Multimorbidity impacts patient perceptions of individual conditions across key dimensions.
- Patient representations of multimorbidity encompass medication burden, condition prioritization, and inter-condition dynamics.
- Synergies and antagonisms between conditions and their management are key concerns.
Conclusions:
- Existing illness representation models may require adaptation for multimorbidity.
- Findings have implications for measuring multimorbidity and designing interventions.
- Improved understanding can enhance health behavior and outcomes for patients with multiple conditions.
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