BACKGROUND: Rising health care expenditures and declining reimbursements have generated interest in providing interventions of value. The use of external fixation is a commonly used intermediate procedure for the staged treatment of unstable fractures. External fixator constructs can vary in design and costs based on selected component configuration. The objective of this study was to evaluate cost variation and relationships to injury and noninjury characteristics in temporizing external fixation of tibial plateau fractures. We hypothesize that construct costs are highly variable and present no noticeable patterns with both injury and noninjury characteristics. METHODS: A retrospective review of tibial plateau fractures treated with initial temporizing external fixation between 2010 and 2016 at 2 Level I trauma centers was conducted. Fracture and patient characteristics including age, body mass index, AO/OTA classification, and Schatzker fracture classification were observed with construct cost. In addition, injury-independent characteristics of surgeon education, site of procedure, and date of procedure were evaluated with construct cost. Factors associated with cost variation were assessed using nonparametric comparative and goodness-of-fit regression tests. RESULTS: Two hundred twenty-one patient cases were reviewed. The mean knee spanning fixator construct cost was $4947 (95% confidence interval = $4742–$5152). The overall range in construct costs was from $1848 to $11,568. The mean duration of use was 16.4 days. No strong correlations were noted between construct cost and patient demographics (r2 = 0.02), fracture characteristics (r2 = 0.02), or injury-independent characteristics (r2 = 0.10). Finally, there was no significant difference between constructs of traumatologists and other orthopaedic surgeon subspecialists (P = 0.12). CONCLUSIONS: Temporizing external fixation of tibial plateau is a high-cost intervention per unit of time and exhibits massive variation in the mean cost. This presents an ideal opportunity for cost savings by reducing excessive variation in implant component selection. LEVEL OF EVIDENCE: Level III. Retrospective Cohort.
Introduction: Geriatric hip fractures are a major, costly public health issue, expected to increase in incidence and expense with the aging population. As healthcare transitions towards value-based care, understanding cost drivers of hip fracture treatment will be necessary to perform adequate risk adjustment. Historically, cost has been variable and difficult to determine. This study was purposed to identify variables that can predict the overall cost of care for geriatric intertrochanteric (IT) hip fractures and provide a better cost prediction to ensure the success of future bundled payment models. Methods: A retrospective review of operatively-managed geriatric hip fractures was performed at single urban level I academic trauma center between 2013 and 2017. Patient variables were collected via the electronic medical record (EMR) including CCI, ACCI, ASA, overall length of stay (LOS), AO/OTA fracture classification and demographics. Direct and indirect costs were calculated by activity-based costing by the hospital’s accounting software. Multivariable linear regression models evaluated which parameters predicted total inpatient cost of care. Results: The mean cost of care was $19,822, ranging from $9,128 to $64,211. Critical care comprised 16.9% of total costs, followed by implant costs (13.6%), and nursing costs (12.6%). Regression analysis identified both ASA ( p < 0.01) and ACCI ( p = 0.01) as statistically significant associative parameters, but only LOS ( r 2 = 0.77) as a strong correlative measure for inpatient care cost. Conclusion: This study found no correlation between ACCI or ASA and the total inpatient cost of care in isolated intertrochanteric geriatric hip fractures, suggesting that the inpatient episode-of-care costs cannot be accurately predicted by the patient demographics/comorbidities alone. Future bundled care payment models would have to be adjusted to account for variables beyond just patient characteristics. Level of Evidence: Diagnostic Level IV.
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