Akemat Wongpairin, Apiradee Lim, Phattrawan Tongkumchum, Wichayaporn Thongpeth, Haris Khurram
{"title":"评估泰国南部综合医院慢性病患者基于诊断相关组别的直接医疗支出。","authors":"Akemat Wongpairin, Apiradee Lim, Phattrawan Tongkumchum, Wichayaporn Thongpeth, Haris Khurram","doi":"10.1186/s12962-024-00596-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":47054,"journal":{"name":"Cost Effectiveness and Resource Allocation","volume":"22 1","pages":"87"},"PeriodicalIF":1.7000,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing diagnosis-related groups based direct medical expenditures of chronic disease patients in general hospital of lower southern Thailand.\",\"authors\":\"Akemat Wongpairin, Apiradee Lim, Phattrawan Tongkumchum, Wichayaporn Thongpeth, Haris Khurram\",\"doi\":\"10.1186/s12962-024-00596-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":47054,\"journal\":{\"name\":\"Cost Effectiveness and Resource Allocation\",\"volume\":\"22 1\",\"pages\":\"87\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cost Effectiveness and Resource Allocation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12962-024-00596-3\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cost Effectiveness and Resource Allocation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12962-024-00596-3","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
Assessing diagnosis-related groups based direct medical expenditures of chronic disease patients in general hospital of lower southern Thailand.
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.
期刊介绍:
Cost Effectiveness and Resource Allocation is an Open Access, peer-reviewed, online journal that considers manuscripts on all aspects of cost-effectiveness analysis, including conceptual or methodological work, economic evaluations, and policy analysis related to resource allocation at a national or international level. Cost Effectiveness and Resource Allocation is aimed at health economists, health services researchers, and policy-makers with an interest in enhancing the flow and transfer of knowledge relating to efficiency in the health sector. Manuscripts are encouraged from researchers based in low- and middle-income countries, with a view to increasing the international economic evidence base for health.