| Title: |
Assessing diagnosis-related groups based direct medical expenditures of chronic disease patients in general hospital of lower southern Thailand. |
| Authors: |
Wongpairin, Akemat, Lim, Apiradee, Tongkumchum, Phattrawan, Thongpeth, Wichayaporn, Khurram, Haris |
| Source: |
Cost Effectiveness & Resource Allocation; 11/27/2024, Vol. 22 Issue 1, p1-6, 6p |
| Subject Terms: |
DIAGNOSIS related groups, STATISTICAL correlation, SOCIAL determinants of health, RESEARCH funding, COST effectiveness, HOSPITALS, DESCRIPTIVE statistics, CHRONIC diseases, CHRONIC kidney failure, OPERATIVE surgery, RESEARCH methodology, RESEARCH, MATHEMATICAL models, OBSTRUCTIVE lung diseases, THEORY, LENGTH of stay in hospitals, REGRESSION analysis, MEDICAL care costs |
| Geographic Terms: |
THAILAND |
| Abstract: |
Background: Assessment of the cost-related burden of chronic diseases is important for making informed decisions. An effective and efficient methodology for examining medical expenditures is one of the most significant challenges for stakeholders. The objective of this study was to examine the role of the variables of diagnosis-related group (DRG) in determining the direct expense of chronic diseases in lower southern Thailand and suggest the determinants having high explainability. Methods: The records of 6,147 patients admitted to Satun Hospital from 2014 to 2018 and diagnosed with chronic conditions were analyzed in this study. Descriptive analysis was used to summarize the main characteristics. Correlation was used to analyze the strength of the relationship. A log-linear regression model was used to evaluate the adjusted mean cost using determinants of DRG. Results: The overall average medical expense for chronic disease was Thailand Baht (THB) 17,985. Chronic kidney and chronic obstructive pulmonary diseases were the most expensive chronic diseases with an average expense of about THB 20,000 and 25,000. All the determinants were significantly contributing to overall expense of chronic disease with a p-value < 0.001. However, the length of stay, number of diagnoses, and number of procedures had high explainability in the expense model. Conclusions: The expense assessment model plays a significant role in controlling and preventing the medical costs associated with chronic diseases. Healthcare administrators, stakeholders, and researchers need to make strategies by considering the results of this study to improve the DRGs-based hospital cost model. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
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