Factors Predicting Hospital Readmission among Thais with Post Myocardial Infarction

Abstract

Background:\xa0 Readmission after an acute myocardial infarction is not only common and costly but can also impact patients’ quality of life and mortality. This retrospective observational study was conducted to determine the impact of sociodemographic variables, clinical variables, and hospital readmission among post-myocardial infarction patients in Thailand.\xa0 Few,\xa0if any, previous studies have investigated the factors predicting readmission rates over variable time periods. We\xa0aimed\xa0to provide such information to prevent readmission in the future.\xa0 Methods:\xa0 Between October 1, 2014, to September 30,\xa02018\xa0a\xa0total of 376 post-myocardial infarction patients of Roi-Et hospital were recruited for this study.\xa0The criteria of data collection concerned the rate of\xa0readmission,\xa0gender,\xa0comorbidities,\xa0anaemia,\xa0chronic kidney disease, complication,\xa0smoking, and type of myocardial\xa0infarction.\xa0A measurement period was\xa0seven-day, 30-day,\xa0six-month, and\xa0one-year of readmission. Data were analyzed using percentage, mean, standard deviation, and logistic regression analysis.\xa0\xa0 Results: \xa0The highest readmission rate at\xa0six-month,\xa030-day,\xa0seven-day, and\xa0one-year was 52.2%, 30.4%, 10.6%, and 6.8%, respectively.\xa0None\xa0of the\xa0predictors\xa0were significant for\xa0seven-day\xa0and\xa0one-year\xa0of\xa0readmissions.\xa0Meanwhile,\xa0hypertension\xa0comorbidity\xa0and\xa0anaemia\xa0were identified as the significant predictors for early\xa030-day readmission whereas atrial fibrillation\xa0complication, chronic\xa0kidney disease, and smoking were the significant predictors for late\xa0six-month\xa0readmission.\xa0\xa0 Conclusions: \xa0Multiple factors including HT comorbidity,\xa0anaemia, atrial fibrillation, chronic kidney disease, and smoking predict readmission among Thais with post myocardial infarction.\xa0This study demonstrated\xa0that\xa0rates and predictors of readmissions in\xa0short-term\xa0and long-term periods are\xa0different.\xa0Therefore, various screening tools and interventions\xa0are required.