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A cross-sectional study of factors predicting readmission in Thais with coronary artery disease
Rapin Polsook1, Yupin Aungsuroch2
1Assistant Professor, Faculty of Nursing, Chulalongkorn University, Thailand.
Insights
Social support significantly reduces hospital readmissions for coronary artery disease (CAD) patients in Thailand. Enhancing social support is key for better patient outcomes and quality of care.
Area of Science:
- Cardiology
- Health Services Research
- Nursing
Background:
- Coronary artery disease (CAD) is a leading cause of illness and death, with high hospital readmission rates contributing to increased healthcare costs.
- Variability in CAD readmission rates suggests a need to identify key influencing factors.
- Readmissions serve as an indicator of healthcare quality.
Purpose of the Study:
- To investigate the influence of social support, depression, comorbidities, symptom severity, and quality of life on readmission rates among CAD patients in Thailand.
- To identify significant predictors of readmission in this patient population.
Main Methods:
- A cohort of 321 coronary artery disease patients was recruited from tertiary care hospitals across Thailand.
- Multiple regression analysis was employed to analyze the collected data.
- Key patient factors including social support, depression, comorbidities, symptom severity, and quality of life were assessed.
Main Results:
- Social support emerged as the most significant predictor of readmission, with a statistically significant negative coefficient (beta = -0.22, p < 0.05).
- Comorbidity, symptom severity, depression, and quality of life were not found to be significant predictors of readmission in this study.
- A strong inverse relationship between social support and readmission risk was identified.
Conclusions:
- Nursing interventions should prioritize promoting social support for coronary artery disease patients.
- Strengthening social support systems can help reduce readmission rates and enhance the quality of life for CAD patients.
- Focusing on social support can improve the overall quality of care delivered to coronary artery disease patients.
Background:
Coronary artery disease is a major cause of morbidity and mortality with high readmission rates. Hospital readmissions for coronary artery disease contribute to rising healthcare costs and are a marker of quality of care. Despite this, prior studies have found that readmission rates vary widely.
Aims:
This study aims to determine the impact of social support, depression, comorbidities, symptom severity, quality of life and readmission among coronary artery disease patients in Thailand.
Methods:
A total of 321 coronary artery disease patients from tertiary care hospitals across all regions of Thailand were recruited for this study. Data were analysed using multiple regression analysis.
Results:
The coefficient for social support (beta = -0.22) was found to be significant (p < 0.05), whereas comorbidity, symptom severity, depression and quality of life were not significant. Thus, social support was found to be the most significant predictive factor for readmission.
Conclusions:
Accordingly, when designing effective nursing interventions, nurses should promote social support interventions for coronary artery disease patients to improve the quality of care, decrease readmission rates and improve patients' quality of life.
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