Hung-Lin Chen1, Fei-Yuan Hsiao2. 1. Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan. 2. Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan; School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan. Electronic address: fyshsiao@ntu.edu.tw.
Abstract
OBJECTIVE: The aim of this study is to test the validity of adapted Diabetes Complication Severity Index (aDCSI) in predicting the risk of hospitalization and healthcare cost in type 2 diabetic patients using a nationally-representative claims database. STUDY DESIGN: Retrospective cohort study used 4years of claims data from Taiwan's National Health Insurance Research Database (NHIRD). METHODS: Type 2 diabetic patients who had 4-years of enrollment were identified as study subjects (N=136,372). The aDCSI score (sum of diabetic complication with severity levels, range 0-13) and complication count (sum of diabetic complications, range 0-7) were generated using diagnostic codes for each patient. Poisson model and linear regression model were conducted to predict risk of hospitalization and healthcare costs associated with aDCSI score and count of diabetic complications. RESULTS: The aDCSI score (risk ratio 1.51 to 10.32 categorically, and 1.41 linearly) and count of diabetic complications (risk ratio 1.56 to 12.20 categorically, and 1.66 linearly) were significantly positively associated with risk of hospitalization. A one-point increase in the aDCSI score was positively associated with increased healthcare costs. CONCLUSIONS: The performance of aDCSI in predicting risk of hospitalization and healthcare cost in the nationally-representative claims database is similar to those reported in the original study. It may serve as an efficient tool for stratifying type 2 diabetic patients for disease management programs and population-based studies.
OBJECTIVE: The aim of this study is to test the validity of adapted Diabetes Complication Severity Index (aDCSI) in predicting the risk of hospitalization and healthcare cost in type 2 diabeticpatients using a nationally-representative claims database. STUDY DESIGN: Retrospective cohort study used 4years of claims data from Taiwan's National Health Insurance Research Database (NHIRD). METHODS: Type 2 diabeticpatients who had 4-years of enrollment were identified as study subjects (N=136,372). The aDCSI score (sum of diabetic complication with severity levels, range 0-13) and complication count (sum of diabetic complications, range 0-7) were generated using diagnostic codes for each patient. Poisson model and linear regression model were conducted to predict risk of hospitalization and healthcare costs associated with aDCSI score and count of diabetic complications. RESULTS: The aDCSI score (risk ratio 1.51 to 10.32 categorically, and 1.41 linearly) and count of diabetic complications (risk ratio 1.56 to 12.20 categorically, and 1.66 linearly) were significantly positively associated with risk of hospitalization. A one-point increase in the aDCSI score was positively associated with increased healthcare costs. CONCLUSIONS: The performance of aDCSI in predicting risk of hospitalization and healthcare cost in the nationally-representative claims database is similar to those reported in the original study. It may serve as an efficient tool for stratifying type 2 diabeticpatients for disease management programs and population-based studies.