Background:An increasing emphasis has been placed on developing value-based care delivery systems in orthopaedics to combat rising health care costs. The goal of these systems is to both measure and improve the provisional value of care. Patient-level value analysis creates a mechanism to quantify and optimize value within a procedure, in contrast to traditional methods, which only measures value. The purpose of this study was to develop a patient-level value analysis model and determine the efficacy of this model to improve value in orthopaedic care.Methods:Patients treated operatively for isolated closed ankle fractures at a single level 1 trauma center were prospectively identified. Short musculoskeletal function assessment was collected at the time of the initial clinical presentation and 6 months postoperatively. The cost of care was determined using time-driven activity-based costing, which included personnel, supplies, length of stay, implants, pharmacy, and radiology. Value was defined as each patient's change in the outcome score divided by their cost as determined by time-driven activity-based costing. A multiple linear regression was performed to determine which aspects of care significantly predicted value.Results:Forty-nine patients met inclusion/exclusion criteria. The multiple linear regression indicated treatment by physician D (β = -0.135, P = 0.04) and inpatient stay (β = -0.468, P < 0.01) were predictors of lesser value and represent areas for potential care pathway and value improvement.Conclusions:Patient-level value analysis represents a paradigm shift in the quantification of value. We recommend surgeons, practices, and health care systems begin implementing a system to quantify and optimize the value of care provided.Level of Evidence:Level III. See Instructions for Authors for a complete description of levels of evidence.
PubMed: MeSH publication types
- Journal Article