Association of Virtual Interviews With Residency Application Geographic Diversity and Match

ObjectiveWe sought to assess whether the change from in-person to virtual interviews was associated with differences in applicant and match location geography.MethodsWe conducted a retrospective study of all U.S. applicants to a large pediatric residency. Distances from applicants to our residency program (applicant-to-program) and residency location (applicant-to-match) were compared across demographic subgroups and eras, defined as pre-COVID (2018-2020) and COVID (2021-2022).ResultsApplicant-to-program distance (pre-COVID median 737 miles, IQR 265, 1254; COVID median 739 miles; IQR 268, 1284, P = .31) did not change across eras. While overall applicant-to-match distance (pre-COVID median 425 miles, IQR 88, 1142; COVID median 354 miles; IQR 80, 1084, P = .11) did not change, subgroup analysis revealed that applicant-to-match distance for those not participating in a couples match was farther during the pre-COVID era (430 vs 340 miles, P = .04).ConclusionsA transition to virtual interviews was associated with shorter distance between applicants and residency location for those matching alone at a large, urban pediatric residency. While decisions about where to apply appeared unchanged, rank list decisions may have been impacted by virtual interviews for these applicants. Further study to describe geographic considerations in the virtual era are needed to inform advancement of larger workforce goals.     

EQ-5D and SF-6D health utility scores in patients with spinal and bulbar muscular atrophy

The European Journal of Health Economics - This study assessed patient-reported health-related quality of life (HRQoL) using two generic preference-based measures in Chinese patients with spinal...     

Pre-COVID-19 cognitive social capital and peri-COVID-19 depression: A prospective cohort study on the contextual moderating effect of the COVID-19 pandemic in China, 2016–2020

Social capital could protect mental health. We examined whether the COVID-19 context and province-level COVID-19 situation altered the longitudinal association between cognitive social capital (generalized trust, trust in neighbors, trust in local government officials, and reciprocity) and depression. Results from multilevel mixed-effects linear regression models showed that trust in neighbors, trust in local government officials, and reciprocity were more crucial in longitudinally reducing depression in 2020 than in 2018. Also, as compared with provinces where the COVID-19 situation was less poor, trust in local government officials in 2018 was more crucial in reducing depression in 2020 in provinces with a worse COVID-19 situation. Therefore, cognitive social capital should be taken into account for pandemic preparedness and mental health resilience.