Key result
In 459 patients with coronary artery disease, stress was the most common illness attribution, and there was a remarkable mismatch between the presence of modifiable risk factors and patient perceptions.
Why the study?
The study was conducted to examine patient-reported causal attributions in patients with coronary artery disease and classify them according to attribution theory.
Cross-Sectional (n=459)
Patients with coronary artery disease frequently attribute their illness to stress rather than actual modifiable risk factors like smoking or obesity, highlighting a mismatch that could be targeted in physician-patient communication to improve disease self-management.
Answers are grounded in this paper and cite their sources.
Patient attributions in CAD vary and associate with mental health; leaves open whether targeting them improves outcomes.
OBJECTIVE: To examine patient-reported causal attributions in patients with coronary artery disease and classify them according to attribution theory. DESIGN: = 459) were asked to report causal attributions by answering the respective open-ended item of the Brief Illness Perception Questionnaire. MAIN OUTCOME MEASURES: Groups resulting from classifications were characterised with regard to sociodemographic and clinical variables, Quality of Life (SF-12), depression (PHQ-9), anxiety (GAD-7), and illness perception (BIPQ). RESULTS: Stress emerged as the single most important attribution followed by various behavioural factors and genetic predisposition. There was a remarkable mismatch between the presence of modifiable risk factors (smoking, obesity) and patient-reported illness attributions. Based on the results of the descriptive categorisation of illness attributions we developed a transparent, easily reproducible scheme for dimensional classification of the fifteen most common responses according to attribution theory. The classification resulted in four groups: Behaviour/Emotional State, Past Behaviour/Emotional State, Physical/Psychological Trait and External. CONCLUSION: We found a pattern of illness attributions largely in line with previous trials. The dimensional classification resulted in four groups and highlighted potential entry points for physician-patient communication aimed at establishing beneficial disease self-management.
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Friedrich et al. (2021) conducted a cross-sectional in Coronary artery disease (n=459). Illness attributions was evaluated on Patient-reported causal attributions and their dimensional classification. In 459 patients with coronary artery disease, stress was the most common illness attribution, and there was a remarkable mismatch between the presence of modifiable risk factors and patient perceptions.
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