An Evaluation of the Patient Clinical Complexity Level (PCCL) Method for the Complexity Adjustment in the Korean Diagnosis-Related Groups (KDRG)

Abstract ObjectiveTo evaluate the performance of the Patient Clinical Complexity Level (PCCL) mechanism, which is the patient level complexity adjustment factor within the Korean Diagnosis-Related Groups (KDRG) patient classification system, for explaining the variation of resource consumption within Age Adjacent Diagnosis-related groups (AADRGs).MethodsWe used the inpatient claims data from a public hospital in Korea from January 1, 2017 to June 30, 2019, with 18,846 claims and 138 Age Adjacent Diagnosis-related groups (AADRGs). The differences in the total average payment between the four PCCL levels for each AADRG was tested using ANOVA and Duncan’s post-hoc test. The three patterns of the differences with R-squared were: the PCCL reflected the complexity well (Valid); the average payment of PCCL 2, 3, 4 was greater than PCCL 0 (Partially Valid); the PCCL did not reflect the complexity (Not Valid).ResultsThere were 9 (6.52%), 26 (18.84%), and 103 (74.64%) ADRGs included in VALID, PARTIALLY VALID and NOT VALID, respectively. The average R-squared in VALID, PARTIALLY VALID, and NOT VALID was 32.18%, 40.81%, and 35.41% respectively, with the average R-squared for all patterns of 36.21%.ConclusionsAdjusting using PCCL in the KDRG classification system exhibited low performance to explain the variation of resource consumption within Age Adjacent Diagnosis-related groups (AADRGs). As the KDRG classification system is used for reimbursement under the New DRG-based PPS pilot project with plans for expansion, there should be an overall review of the validity of the complexity and rationality of using the KDRG classification system.

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