Risk of hospitalization and healthcare cost associated with Diabetes Complication Severity Index in Taiwan's National Health Insurance Research Database

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.