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

2020 ◽  
Author(s):  
Sujeong Kim ◽  
Byoongyong Choi ◽  
Kyunghee Lee ◽  
Sangmin Lee ◽  
Sukil Kim

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.

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Sujeong Kim ◽  
Byoongyong Choi ◽  
Kyunghee Lee ◽  
Sangmin Lee ◽  
Sukil Kim

Abstract Background To 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, in explaining the variation in resource consumption within age adjacent diagnosis-related groups (AADRGs). Methods We used the inpatient claims data from a public hospital in Korea from 1 January 2017 to 30 June 2019, with 18 846 claims and 138 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 differences with R-squared were as follows: the PCCL reflected the complexity well (valid); the average payment for PCCL 2, 3, and 4 was greater than PCCL 0 (partially valid); the PCCL did not reflect the complexity (not valid). Results There were 9 (6.52%), 26 (18.84%), and 103 (74.64%) ADRGs included in the valid, partially valid, and not valid categories, respectively. The average R-squared values were 32.18, 40.81, and 35.41%, respectively, with an average R-squared for all patterns of 36.21%. Conclusions Adjustment using the PCCL in the KDRG classification system exhibited low performance in explaining the variation in resource consumption within AADRGs. As the KDRG classification system is used for reimbursement under the new DRG-based prospective payment system (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.


2014 ◽  
Vol 97 (2) ◽  
pp. 641-650 ◽  
Author(s):  
Aimee S. Parnell ◽  
Justine Shults ◽  
J. William Gaynor ◽  
Mary B. Leonard ◽  
Dingwei Dai ◽  
...  

Curationis ◽  
1985 ◽  
Vol 8 (1) ◽  
Author(s):  
Mirinda Coetsee

A patient classification system is used to classify patients according to the acuity of their condition and the amount of care which they need in order to determine staffing needs. Such a system enables optimal provision of nursing staff thus ensuring cost-effective quality care. A patient classification system must be tailored to the needs of each hospital to ensure reliability. There is an adaptable computer software program which is able to do all the calculations for a patient classification system. It provides valuable daily, weekly and monthly print-outs — such as summaries of patient acuity and staffing requirements for each unit and for the hospital as a whole.


2010 ◽  
Vol 51 (3) ◽  
pp. 250-258 ◽  
Author(s):  
Ciprian-Paul Radu ◽  
Delia Nona Chiriac ◽  
Cristian Vladescu

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