Treatment costs for patients with chronic kidney disease who received multidisciplinary care in a district hospital in thailand

• Main Authors: Suwaporn Songsermlosakul, Unchalee Permsuwan, Wanchana Singhan
• Format: Journal
• Published: 2020
• Subjects: Economics, Econometrics and Finance; Medicine
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084080730&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/70509
• Institution: Chiang Mai University

© 2020 Songsermlosakul et al. Aim: To estimate direct medical treatment costs in patients with pre-dialysis chronic kidney disease (CKD) in a district hospital and to analyze the factors that affected the treatment costs. Patients and Methods: Data were retrospectively retrieved from the hospital database in the period from January 2015 to December 2017. Patients who were diagnosed with CKD and had visited ambulatory care services at least two times during the index year (January to December 2015) were included. Patients’ data were excluded if they had cancer, had received renal replacement therapy, or had been referred to receive treatment at other hospitals. Treatment costs based on the providers’ perspectives in the first and second years after the index year were assessed. Descriptive statistics were used to analyze patients’ characteristics, and multiple linear regression was used to analyze the factors in the cost model. Results: Data of 212 patients with CKD stage G3a, G3b, or G4 who met inclusion and exclusion criteria were included for analysis. Average costs for treatment in year 1 and year 2 were not statistically different. Total cost was 5701.34 Thai Baht (THB) per year. The total cost for patients with CKD stage G4 was two times greater than for patients with CKD stage G3. Costs were increased for longer hospitalization, more frequent ambulatory visits, having diabetes mellitus or dyslipidemia as a comorbidity, and uncontrolled fasting blood glucose (FBG). A cost model with R2=0.906 was provided. Significant predictors were length of stay, ambulatory visits, diabetes mellitus, dyslipidemia, serum creatinine, FBG, and body mass index. Conclusion: Total annual treatment costs for the 2 years were not different. A more advanced stage of CKD, having diabetes mellitus or dyslipidemia as comorbidities, and uncontrolled FBG were significantly associated with increased costs for treatment in patients with pre-dialysis CKD.