High body mass index (BMI) is associated with increased rates of complications in primary total hip arthroplasty (THA), but less is known about its impact on cost. The effects of low BMI on outcomes and cost are less understood. This study evaluated the relationship between BMI, inpatient costs, complications, readmissions, and utilization of post-acute services. A retrospective database analysis of 40,913 primary THAs performed between January 2013 and December 2017 in 29 hospitals was conducted. Operating time, length of stay (LOS), complication rate, 30-day readmission rate, inpatient cost, and utilization of post-acute services were measured and compared in relation to patient BMI.Aims
Methods
In the era of alternative payment models, providers and healthcare systems must understand the implications of potentially-modifiable risk factors on outcomes that affect overall cost. High BMI is associated with increased rates of complications (infection, loosening) in primary total hip arthroplasty (THA), but less is known about its impact on cost. In addition, the effects of low BMI on outcomes and cost are less-understood. This study sought to evaluate the relationship between BMI and length of stay (LOS), complications, thirty-day readmissions, inpatient cost, and need for post-acute services. A retrospective database analysis was conducted of 34,679 primary THAs performed between 2013–2017 in 29 hospitals in an integrated health system. Patient BMI was compared with operative time, LOS, complication rate, thirty-day readmission rate, inpatient cost, and post discharge disposition. Logistic regression was performed treating complications and readmission as outcomes and controlling for age.Introduction
Methods
Bundle payment models have clinical and economic impacts on providers. Despite efforts made to improve care, experience has shown that a few episodes with costs well above a target (bundle busters) can reduce or negate positive performances. The purpose of this study was to identify both the primary episode drivers of cost and patient factors that led to episodes above target. A retrospective study of 10,000 joint replacement episodes from a large healthcare system in CJR and a private orthopedic practice in BPCI was conducted. Episodes with costs greater than target price (TP) were designated as bundle busters and sub-divided into 4 groups:
< 1 standard deviation (SD) above TP (n=1700) > 1 to 2 SD above TP (n=240) > 2 to 3 SD above TP (n=70) > 3 SD above TP (n=70) Bundle busters were compared to the control that were at/below the TP (n= 7500). For the CJR/BPCI cohorts, one SD was defined as $10,700/$13,000, respectively. Two linear regressions assessed the likelihood of factors predicting a bundle buster and the total episode cost. These variables included demographics, acuity classifications, comorbidities, length of stay, readmissions, discharge disposition, post-acute utilization, and episode costs.Introduction
Methods
