Readmission rate and healthcare utilization outcomes of computer-assisted fluoroscopy-based hip navigation versus manual total hip arthroplasty.

Computer-assisted solutions are becoming more ubiquitous in surgical procedures. However, most of the current research is limited to small sample size and limited economic endpoints. The current study utilizes hospital billing data and fine stratification methodology to address the issue around sample size and covariate balancing. Hospital billing data provide a large sample across the US along with hospital costs that can be broken into different categories. Fine stratification methodology allows for covariate balancing while keeping all the samples. It is particularly advantageous when the treated or exposed group represents less than 5% of the entire cohort for a given study, as was observed in this study. Covariate balancing was done on patient, provider (hospital) and surgeon characteristics to minimize confounding. Furthermore, a generalized linear model was utilized to minimize any residual confounding. The study evaluated both short term (3-month) and long term (1-year) outcomes. Study suggested clinical benefits in using computer-assisted fluoroscopy-based hip navigation system in THA compared to manual THA as well as showed cost parity between computer-assisted fluoroscopy-based hip navigation system in THA and manual THA.