ABSTRACT
Background and Objectives@#Heart failure (HF) poses substantial economic burden, primarily driven by high hospitalization and mortality rates. This study aimed to understand the economic burden of HF in 4 Asian countries under varying healthcare systems. @*Methods@#This was a non-interventional, retrospective study conducted in South Korea, Taiwan, Thailand and Malaysia through medical chart review. Eligible patients included those who had either ≥1 hospitalization or ≥2 outpatient visits from January 1st to December 31st, 2014, and at least one year of follow-up. Resource use and direct healthcare costs (adjusted to 2015 USD) of HF were assessed. HF costs for subgroups stratified by age and sex were assessed. @*Results@#A total of 568 patients were recruited from South Korea (n=200), Taiwan (n=200), Thailand (n=100) and Malaysia (n=68). The proportion of patients hospitalized ranged from 20.0% to 93.5% (South Korea 20.0%, Thailand 49.0%, Malaysia 70.6%, and Taiwan 93.5%).The overall annual HF cost per patient was $2,357, $4,513, $3,513 and $1,443 in South Korea, Taiwan, Thailand, and Malaysia, respectively; hospitalized HF care costs were $10,714, $4,790, $7,181 and $1,776, respectively. The length of stay was more than 12.2 days except in Malaysia. No specific trend was observed in subgroup analysis. @*Conclusions@#In Asia, HF poses significant economic burden and hospitalization has emerged as the major cost driver among healthcare costs. A streamlined treatment strategy reducing hospitalization rate can minimize the economic burden.
ABSTRACT
Background and Objectives@#Heart failure (HF) poses substantial economic burden, primarily driven by high hospitalization and mortality rates. This study aimed to understand the economic burden of HF in 4 Asian countries under varying healthcare systems. @*Methods@#This was a non-interventional, retrospective study conducted in South Korea, Taiwan, Thailand and Malaysia through medical chart review. Eligible patients included those who had either ≥1 hospitalization or ≥2 outpatient visits from January 1st to December 31st, 2014, and at least one year of follow-up. Resource use and direct healthcare costs (adjusted to 2015 USD) of HF were assessed. HF costs for subgroups stratified by age and sex were assessed. @*Results@#A total of 568 patients were recruited from South Korea (n=200), Taiwan (n=200), Thailand (n=100) and Malaysia (n=68). The proportion of patients hospitalized ranged from 20.0% to 93.5% (South Korea 20.0%, Thailand 49.0%, Malaysia 70.6%, and Taiwan 93.5%).The overall annual HF cost per patient was $2,357, $4,513, $3,513 and $1,443 in South Korea, Taiwan, Thailand, and Malaysia, respectively; hospitalized HF care costs were $10,714, $4,790, $7,181 and $1,776, respectively. The length of stay was more than 12.2 days except in Malaysia. No specific trend was observed in subgroup analysis. @*Conclusions@#In Asia, HF poses significant economic burden and hospitalization has emerged as the major cost driver among healthcare costs. A streamlined treatment strategy reducing hospitalization rate can minimize the economic burden.
ABSTRACT
Background and objectives The recent joint ACCF/AHA clinical competence statement on cardiac imaging with multi-detector computed tomography recommended a minimum of 6 months training and 300 contrast examinations, of which the candidate must be directly involved in at least 100 studies. Whether this is adequate to become proficient in interpretation of coronary computed tomogsignificant coronary stenosis in a center with 1 year's experience using a 64-row scanner. Methods A total of 778 patients underwent contrast-enhanced CTA between January and December 2005. Out of these patients, 301 patients also underwent contrast-enhanced conventional coronary angiography (CCA). These patients were divided into 4 groups according to the time the examination was underwent. Group Q1: first quarter of the year (n=20), Group Q2: second quarter (n=128), Group Q3: third quarter (n=134), and Group Results The sensitivity, specificity, positive, and negative predictive values were Q1 - 64%, 89%, 49% and 94%, respectively; Q2 -79%, 96%, 74% and 97%, respectively; Q3 - 78%, 96%, 74%, 97%, respectively, and Q4 - 100% for all. Conclusions In a center with formal training and high caseload, our accuracy in CTA analysis reached a plateau after 6 months experience. Test-bolus protocols produce better image quality and can improve accuracy. New centers embarking on CTA will need to overcome an initial 6-month learning curve depending upon the caseload during which time they should consider correlation with CCA.