Factors influencing readmission among Thais with myocardial infarction
Rapin Polsook1, Yupin Aungsuroch1
1Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
Insights
Symptom severity significantly impacts myocardial infarction readmission rates in Thailand. Reducing symptom severity and comorbidity can help decrease readmissions.
Area of Science:
- Cardiology
- Public Health
- Health Services Research
Background:
- Hospital readmission for myocardial infarction (MI) is a significant concern, impacting healthcare costs and reflecting care quality.
- Identifying factors influencing MI readmission is crucial for improving patient outcomes and healthcare efficiency.
Purpose of the Study:
- To investigate the factors associated with hospital readmission among patients diagnosed with myocardial infarction in Thailand.
- To provide data-driven insights for developing targeted interventions to reduce MI readmission rates.
Main Methods:
- A cross-sectional study was conducted with 200 randomly selected participants from five regional hospitals in Thailand.
- Data were analyzed using Linear Structural Relationship (LISREL) version 8.72, with validated and reliable research tools.
Main Results:
- The study's hypothesized model, including social support, depression, symptom severity, comorbidity, and quality of life, explained 4% of the variance in readmission.
- Symptom severity emerged as the most influential factor, demonstrating a direct and positive effect on the readmission rate (0.06, p < 0.05).
Conclusions:
- Findings suggest that managing symptom severity and comorbidity, alongside enhancing quality of life, are key strategies to reduce myocardial infarction readmissions.
- Interventions should focus on mitigating symptom severity to improve patient recovery and decrease the likelihood of readmission.
Background:
Readmission among patients with myocardial infarction is costly, and it has become a marker of quality of care. Therefore, factors related to readmission warrant examination.
Objective:
This study aimed at examining factors influencing readmission in Thai with myocardial infarction.
Methods:
This was a cross-sectional study with 200 participants randomly selected from five regional hospitals in Thailand. All research tools used indicated acceptable validity and reliability. Linear Structural Relationship version 8.72 was used for the data analysis.
Results:
The findings showed that the hypothesized model with social support, depression, symptom severity, comorbidity, and quality of life could explain 4% (R = 0.04) of the variance in readmission (χ = 1.39, df = 2, p < 0.50, χ = 0.69, GIF = 1.00, RMSEA = 0.00, SRMR = 0.01, and AGFI = 0.98). Symptom severity was the most influential factor that had a positive and direct effect on the readmission rate (0.06, p < 0.05).
Conclusion:
These findings serve as an input to decrease readmission in patients with myocardial infarction by reducing the symptom severity and comorbidity and promoting a better quality of life.
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