Background
Physician Assistants (PA) are important members of the medical team, and increasing diversity in healthcare professionals has been consistently associated with improved health outcomes for underrepresented minority patients. In this study of a national cohort of PA program applicants, we investigated whether the number of programs a student applied to (Application Number, AN) was significantly associated with increased likelihood of matriculation into a PA program.
Methods
We examined all applications (n = 27,282) to the 2017–2018 admissions cycle of the Central Application Service for Physician Assistants, which is utilized by over 90% of accredited PA programs in the US. As we a priori hypothesized that associations would be non-linear, we used natural cubic splines to estimate the associations between matriculation and AN, controlling for multiple metrics of academic achievement, experience, and applicant demographics. We subsequently used segmented regression analyses (modified poisson regression with robust error variance) to investigate log-linear associations above and below inflection points identified in the spline analyses. Additionally, we explored for effect modification by race/ethnicity.
Results
The strongest associations were observed between application number 2–7, and a threshold effect was observed at > 16 applications, beyond which there was no significant, incremental benefit in matriculation likelihood. Associations differed by race, particularly for application number 2–7, wherein the incremental benefit from each additional application was highest for Black applicants (Likelihood Ratio [LR]: 1.243, 95% CI: 1.136 to 1.360) vs non-Latinx White (LR: 1.098, 95% CI: 1.072 to 1.125), with no additional, incremental benefit beyond 7 program applications. For all other races, significant increased likelihoods of matriculation were observed until 16 program applications.
Conclusions
These findings can help guide pre-PA advisors and PA programs, providing recommended thresholds to applicants on the most cost effective ways to increase their likelihood of admissions, and the PA profession as a whole by providing actionable information that can potentially increase Race/Ethnic diversity in the PA profession and, by extension, medical teams.
Background
Risk factors contributing to sepsis-related mortality include clinical conditions such as cardiovascular disease, chronic lung disease, and diabetes, all of which have also been shown to be associated with air pollution exposure. However, the impact of chronic exposure to air pollution on sepsis-related mortality has been little studied.
Methods
In a cohort of 53 million Medicare beneficiaries (228,439 sepsis-related deaths) living across the conterminous United States between 2000 and 2008, we examined the association of long-term PM2.5 exposure and sepsis-related mortality. For each Medicare beneficiary (ages 65–120), we estimated the 12-month moving average PM2.5 concentration for the 12 month before death, for their ZIP code of residence using well validated GIS-based spatio-temporal models. Deaths were categorized as sepsis-related if they have ICD-10 codes for bacterial or other sepsis. We used Cox proportional hazard models to assess the association of long-term PM2.5 exposure on sepsis-related mortality. Models included strata for age, sex, race, and ZIP code and controlled for neighborhood socio-economic status (SES). We also evaluated confounding through adjustment of neighborhood behavioral covariates.
Results
A 10 μg/m3 increase in 12-month moving average PM2.5 was associated with a 9.1% increased risk of sepsis mortality (95% CI: 3.6–14.9) in models adjusted for age, sex, race, ZIP code, and SES. HRs for PM2.5 were higher and statistically significant for older (> 75), Black, and urban beneficiaries. In stratified analyses, null associations were found for younger beneficiaries (65–75), beneficiaries who lived in non-urban ZIP codes, and those residing in low-SES urban ZIP codes.
Conclusions
Long-term PM2.5 exposure is associated with elevated risks of sepsis-related mortality.
Purpose
The purpose of this study was to evaluate associations between postgraduate disciplinary actions (PGDA) by state licensing boards and physician assistant (PA) school documented professionalism violations (DPV) and academic probation.
Methods
This was a retrospective cohort study comprising PA graduates from 2001 to 2011 at 3 institutions (n = 1364) who were evaluated for the main outcome of PGDA and independent variable of DPV and academic probation. Random-effects multiple logistic regression and accelerated failure time parametric survival analysis were used to investigate the association of PGDA with DPV and academic probation.
Results
Postgraduate disciplinary action was statistically significant and positively associated with DPV when unadjusted (odds ratio [OR] = 5.15; 95% CI: 1.62–16.31; P = .01) and when adjusting for age, sex, overall PA program GPA (GPA), and Physician Assistant National Certifying Exam Score (OR = 5.39; 95% CI: 1.54–18.85; P = .01) (fully adjusted). Academic probation increased odds to 8.43 times (95% CI: 2.85–24.92; P < .001) and 9.52 times (95% CI: 2.38–38.01; P < .001) when fully adjusted.
Conclusion
Students with professionalism violation or academic probation while in the PA school had significant higher odds of receiving licensing board disciplinary action compared with those who did not. Academic probation had a greater magnitude of effect and could represent an intersection of professionalism and academic performance.
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