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Published on: March 15, 2022
Illness perception patterns in patients with Coronary Artery Disease
E Kunschitz1,2, O Friedrich1, Ch Schöppl2
1a Karl Landsteiner Institute for Scientific Research in Clinical Cardiology , Vienna , Austria.
Insights
Patients with Coronary Artery Disease perceive illness impact differently, affecting their quality of life and emotional distress. Identifying these illness perception patterns can improve patient care.
Area of Science:
- Cardiology
- Psychology
- Health Psychology
Background:
- Coronary Artery Disease (CAD) significantly impacts patients' lives.
- Understanding illness perception is crucial for managing chronic conditions.
- Previous research highlights varied patient experiences with chronic diseases.
Purpose of the Study:
- To identify distinct patterns of illness perception in patients diagnosed with Coronary Artery Disease.
- To analyze how these perception patterns correlate with Health Related Quality of Life, anxiety, depression, and resilience.
Main Methods:
- Cluster analysis of the Brief Illness Perception Questionnaire was performed on 166 CAD patients.
- Patient groups were assessed using measures for Quality of Life (MacNew), anxiety (GAD-7), depression (PHQ-9), and resilience (RS-13).
Main Results:
- Four distinct patient groups emerged based on perceptions of physical and emotional disease impact.
- Stronger perceived impact was linked to lower Health Related Quality of Life and increased emotional distress.
- Group 1 showed the highest perceived impact, lowest treatment control, and most depression; Group 2 had moderate impact with low coherence; Groups 3 & 4 had less impact but varied on chronicity.
Conclusions:
- Illness perception patterns significantly influence the well-being of Coronary Artery Disease patients.
- Stratifying patients by illness perception may offer avenues for tailored patient-physician communication.
- Further research is warranted to validate these findings and their clinical utility.
Abstract:
The purpose of this study is to identify patterns of illness perception in patients with angiografically verified Coronary Artery Disease. A total of 166 patients (age: 64.4 ± 12.1, 80.7% male) were recruited after angiography. Cluster analysis on the items of the Brief Illness Perception Questionnaire was used to identify patterns of illness perception. The resulting groups were characterized with regard to Quality of Life (MacNew), anxiety and depression (GAD-7 and PHQ-9) and resilience (RS-13). The analysis revealed 4 distinct groups differing with regard to the items covering the perception of the physical and emotional impact of disease. Stronger perceptions in these domains were associated with lower Health Related Quality of Life and higher levels of emotional distress. Group 1 (33.1%) reported the strongest perceptions of the physical and emotional impact of disease and expressed low treatment control, high chronic timeline and significantly higher levels of depression than the other groups. Group 2 (27.7%) was characterized by more moderate perceptions of the emotional and physical impact of disease together with low scores on illness coherence and chronic timeline. Groups 3 (25.3%) and 4 (13.9%) reported smaller physical and emotional impact of illness but differed in chronic timeline. Our results correspond largely to recent findings in patients with other chronic diseases. Further research is needed to explore if stratification of patients according patterns of illness perception can help to inform patient-physician communication strategies.
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