21 research outputs found
Is a low-cost drill cover system non-inferior to conventional surgical drills for skeletal traction pin placement?
The Drill Cover system was developed as a low-cost alternative to conventional surgical drills with specific applicability to low- and middle-income countries. However, the system may also be useful for the sterile placement of traction pins in the emergency department of high-income country hospitals. In September 2019, a US-based Level-1 trauma center began using the Drill Cover system to apply skeletal traction pins in patients with femoral shaft fractures. With these data, we performed a retrospective interrupted time series study to determine if the Drill Cover system was non-inferior to conventional surgical drills in terms of infections at the traction pin site. The study included 205 adult patients with femoral shaft fractures initially placed in skeletal traction using a conventional surgical drill (n=150, pre-intervention group) or the Drill Cover system (n=55, post-intervention group). The primary outcome was an infection at the site of skeletal traction pin placement that required surgery or antibiotics was compared between groups using a non-inferiority test with a one-sided alpha of 0.05 and a non-inferiority margin of 3%. No infections at the site of skeletal traction pin placement were found in either the pre-intervention or the post-intervention group (difference 0%, 95% CI: 0.0 to 1.4%, non-inferiority p-value<0.01). The results suggest that the Drill Cover system was non-inferior to conventional surgical drills regarding infections at the site of skeletal traction pins. The Drill Cover system may be a safe alternative to the more expensive surgical drills for skeletal traction pin placement in the emergency room environment
Risk factors for postpartum depressive symptoms among mothers of Colorado-born preterm infants
Estimating non-additive within-season temperature effects on maize yields using Bayesian approaches
Applying stated-preference methods to improve health systems in sub-Saharan Africa: a systematic review
Bayesian Variable Selection
In this chapter we survey Bayesian approaches for variable selection and model choice in regression models. We explore the methodological developments and computational approaches for these methods. In conclusion we note the available software for their implementation.</p