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The perceptions of the causes of cardiac diseases: a taxonomy
Massimo Miglioretti1, Claudia Meroni1, Giacomo Baiardo2
1a Department of Psychology , University of Milano-Bicocca , Milan , Italy.
Insights
This study explored patient-reported causes of cardiac disease, finding stress and smoking most common. These insights can inform future research and patient care strategies.
Area of Science:
- Cardiology
- Psychology
- Medical Sociology
Background:
- Understanding patient-perceived causes of cardiac disease is crucial for effective management and rehabilitation.
- The Brief Illness Perception Questionnaire (B-IPQ) is a tool used to assess illness perceptions.
Purpose of the Study:
- To evaluate the open-ended question of the B-IPQ for collecting causal attributions in cardiac patients.
- To identify, classify, and analyze frequent causal attributions and their relationship with patient characteristics.
Main Methods:
- 2011 cardiac patients completed the B-IPQ and Hospital Anxiety and Depression Scale (HADS) during cardiac rehabilitation.
- Qualitative and quantitative text analyses using T-LAB identified prevalent causal attributions and their co-occurrences.
Main Results:
- 26% of patients did not report any causal attribution; this was more common in older, female, less educated, and more depressed patients.
- Smoking and stress were the most frequently reported attributions, followed by genetics, metabolic syndrome, work, and nutrition.
- Four thematic clusters emerged: 'work and stress', 'metabolic syndrome and hypertension', 'displeasures and body care', and 'heredity and other related diseases'.
Conclusions:
- The B-IPQ's open-ended question effectively captures causal attributions in cardiac patients.
- Identified thematic patterns and underreported attributions can guide the development of future closed-ended questions for assessing cardiac disease causes.
Objective:
This study verifies whether the open-ended question of the B-IPQ can collect causal attributions of patients with cardiac diseases, define the more frequent causal attributions reported, classify them and describe the relation between the classification of the causes and patients' characteristics.
Design:
A group of 2011 patients with cardiac diseases was recruited during the first week of cardiac rehabilitation.
Primary Outcome Measures:
Every participant filled in the B-IPQ and the HADS. The qualitative and quantitative analyses of the text using T-LAB identified the most frequent causal attributions and their co-occurrences.
Results:
Among the patients, 26% did not recognise any causal attribution. The likelihood that the patients did not provide an answer was increased in older patients, females, patients with lower levels of education and higher levels of depression. Smoking and stress emerged as the most important attributions, followed by genetics, metabolic syndrome, work and nutrition. Four thematic clusters were identified: 'work and stress', 'metabolic syndrome and hypertension', 'displeasures and body care' and 'heredity and other related diseases'.
Conclusions:
This study suggests a classification of the causal attributions in patients with cardiac diseases and identifies thematic patterns and unknown attributions. The themes identified can serve as categories for future closed-ended questions.
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