Increasing Diversity in the Physician Workforce: Pathway Programs and Predictive Analytics.

PROBLEM: Lack of diversity in the physician workforce has well-documented negative impacts on health outcomes. Evidence supports the use of pathway or pipeline programs to recruit underrepresented in medicine students. However, data on how a pathway program should deliver instruction are lacking. This report describes a multiyear project to build such a system with the goal of increasing diversity within medical school cohorts and ultimately the physician workforce. APPROACH: In the 2015-2016 academic year, the Ponce Health Sciences University started a 3-phase project to create a data-driven medical school feeder system by coupling a pathway program with predictive analytics. Phase 1 launched the pathway program. Phase 2 developed and validated a predictive model that estimates United States Medical Licensing Examination (USMLE) Step 1 performance. Phase 3 is underway and focuses on adoption, implementation, and support. OUTCOMES: Data analysis compared 2 groups of students (pathway vs direct) across specific factors, including Medical College Admission Test (MCAT) score, undergraduate grade point average (GPA), first-generation status, and Step 1 exam performance. Statistically significant differences were found between the 2 groups on the MCAT exam and undergraduate GPA; however, no significant differences were found between groups for first-generation status and performance on the Step 1 exam. This finding supports the authors' hypothesis that although pathway students have significantly lower mean MCAT exam scores compared with direct students, pathway students perform just as well on the USMLE Step 1 exam. NEXT STEPS: Next steps include expanding the project to another campus, adding more socioeconomic status and first-generation data, and identifying best curricular predictors. The authors recommend that medical school programs use pathway programs and predictive analytics to create a more data-centered approach to accepting students with the goal of increasing physician workforce diversity.

Use of a static magnetic field to promote recovery after peripheral nerve injury.

OBJECT: While pulsed electromagnetic stimulation has been shown to enhance peripheral nerve regeneration, the effect of a static magnetic field on nerve repair is less clear. The aim of this study was to establish what effect an imposed exogenous static magnetic field has on peripheral nerve regeneration after transection and repair. METHODS: Three groups of six adult sheep were used. The first group acted as normal controls. In the second group, the median nerve was divided and immediately repaired by entubulation within a "controlled-release" biodegradable glass tube. In the third group, small magnets were applied to the sides of the biodegradable glass tubes before the median nerve was repaired using these magnetic tubes. The sheep were allowed to recover and were reexamined 10 months later. The animals underwent comprehensive morphometric (cross-sectional morphometry and measurement of internodal lengths), electrophysiological (determinations of stimulated jitter, maximum conduction velocity, refractory period, and F waves), and isometric tension (isometric twitch and tetanic tension) assessments. CONCLUSIONS: Exogenously applied static electromagnetic fields do not enhance peripheral nerve regeneration.