A Comparison of DRG and CPT for Cost Analysis in Spine Surgery Open Access
Baum, Griffin (Spring 2018)
Abstract
The prevalence of neck and back disorders in the United States is estimated to be 80% in the adult population and represents the third largest source of spending, totaling $87.6 Billion USD. The most common grouping of administrative healthcare data is by Diagnosis Related Group (DRG), but in spine surgery the array of pathologies, operations, and techniques contained in a single DRG is very heterogeneous. Current Procedure Terminology (CPT) codes focus on reimbursement for services rendered and can be more specific to describe the surgical approach and technique performed. The specificity and familiarity of the CPT coding structure for surgeons makes it an attractive option for classification in spine surgery cost analysis research. We conducted a retrospective cohort study of 5,020 surgeries over 4 years at a single institution aimed at comparing the association between total cost and either MS-DRG or our novel CPT-based surgical categorization method (CSC). The adjusted R2 for a linear regression model of total cost was similar for MS-DRG and CSC (0.65 vs. 0.57) and the addition of the CSC term to the MS-DRG model had a significant increase in the R2 (0.65 to 0.74). To allow for cost analysis at the surgical or provider level, the CSC method creates groups of similar surgical approaches and techniques, enabling better analysis of the drivers of variability that could predict changes in total cost. Further development of this CSC method may enable the development of surgeon-led initiatives to streamline resource utilization and maximize procedural cost savings in spine surgery.
Table of Contents
Introduction 1
Background 2
Methods 5
Hypothesis and Specific Aims 5
Study Design and Study Population 5
CPT-based Surgical Categorization Method 6
Data Analysis 7
Results 9
Discussion 13
Conclusions 17
References 18
Tables And Figures 19
Figure 1: Spine Related MS-DRG Codes 19
Figure 2: Spine Related CPT Codes 20
Figure 3: CPT Categorization Method 22
Figure 4: Flowchart of Inclusion/Exclusion Process 23
Figure 5: Distribution of Total Cost 24
Figure 6: Distribution of Logarithm of Total Cost 25
Figure 7: Boxplot of DRG Category and Total Cost 26
Figure 8: Boxplot of CPT Based Surgical Categories and Total Cost 27
Table 1: Descriptive Statistics for MS-DRG Codes 28
Table 2: Frequency of CPT Codes in Dataset 29
Table 3: Descriptive Statistics for CPT Based Surgical Categories 30
Table 4: Descriptive Statistics for Cervical CPT Based Surgical Categories 31
Table 5: Descriptive Statistics for Thoracic CPT Based Surgical Categories 32
Table 6: Descriptive Statistics for Lumbar CPT Based Surgical Categories 33
Table 7: Descriptive Statistics for Fusion Operations 34
Table 8: Descriptive Statistics for Non-Fusion Operations 35
Table 9: Linear Regression Parameters of Log Total Cost vs. DRG 36
Table 10: Exponentiated Linear Regression Parameters of Log Total Cost vs. DRG 37
Table 11: Linear Regression Parameters of Log Total Cost vs. CPT Based Surgical Category 38
Table 12: Exponentiated Linear Regression Parameters of Log Total Cost vs. CPT Based Surgical Category 39
Table 13: Linear Regression Parameters of Log Total Cost vs. DRG plus CPT Based Surgical Category 40
Table 14: Exponentiated Linear Regression Parameters of Log Total Cost vs. DRG plus CPT Based Surgical Category 42
Table 15: Comparison of DRG and CPT Based Surgical Category Models 44
About this Master's Thesis
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