ObjectivesDuring the COVID-19 pandemic wearing a mask in public has been recommended in some settings and mandated in others. How often this advice is followed, how well, and whether it inadvertently leads to more disease transmission opportunities due to a combination of improper use and physical distancing lapses is unknown.DesignCross-sectional observational study performed in June–August 2020.SettingEleven outdoor and indoor public settings (some with mandated mask use, some without) each in Toronto, Ontario, and in Portland, Oregon.ParticipantsAll passers-by in the study settings.Outcome measuresMask use, incorrect mask use, and number of breaches (ie, coming within 2 m of someone else where both parties were not properly masked).ResultsWe observed 36 808 persons, the majority of whom were estimated to be aged 31–65 years (49%). Two-thirds (66.7%) were wearing a mask and 13.6% of mask-wearers wore them incorrectly. Mandatory mask-use settings were overwhelmingly associated with mask use (adjusted OR 79.2; 95% CI 47.4 to 135.1). Younger age, male sex, Torontonians, and public transit or airport settings (vs in a store) were associated with lower adjusted odds of wearing a mask. Mandatory mask-use settings were associated with lower adjusted odds of mask error (OR 0.30; 95% CI 0.14 to 0.73), along with female sex and Portland subjects. Subjects aged 81+ years (vs 31–65 years) and those on public transit and at the airport (vs stores) had higher odds of mask errors. Mask-wearers had a large reduction in adjusted mean number of breaches (rate ratio (RR) 0.19; 95% CI 0.17 to 0.20). The 81+ age group had the largest association with breaches (RR 7.77; 95% CI 5.32 to 11.34).ConclusionsMandatory mask use was associated with a large increase in mask-wearing. Despite 14% of them wearing their masks incorrectly, mask users had a large reduction in the mean number of breaches (disease transmission opportunities). The elderly and transit users may warrant public health interventions aimed at improving mask use.

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Background: Surveys are being increasingly used to gather feedback and study data in healthcare professions. However, it may be challenging to achieve high response rates in surveys administered to healthcare professionals. The aim of this paper is to report six strategies that contributed to a high response rate on the Independent Student Analysis at the University of Toronto (U of T), which can be applied to other surveys to achieve strong response rates amongst healthcare professionals. Methods: In 2019, as part of accreditation for the U of T MD Program, we conducted the Independent Student Analysis, a student-led survey examining a medical student’s experience. We review and critically evaluate the factors that contributed to a robust response rate amongst one of the largest cohorts of medical students in Canada. Results: Among 1080 students in the MD program, we achieved an unprecedented response rate of 87.2%. Six factors were identified that most contributed to our high response rate, including: faculty support, student representation, eliciting participant feedback, creating protected time for completion, offering incentives, and generating awareness. Conclusions: Eliciting high survey response rates from medical learners can be challenging. However, with careful consideration of learner feedback and effective employment of the strategies discussed in this paper, medical school faculty may better engage students in survey completion, achieving higher response rates and gathering richer insight, which can be used to more effectively enact meaningful change amongst healthcare professionals.

Background Transcatheter aortic valve replacement (TAVR)/intervention has become the standard of care for treatment of severe aortic stenosis across the spectrum of risk. There are socioeconomic disparities in access to TAVR. The impact of these disparities on postprocedural outcomes remains unknown. Our objective was to examine the association between neighborhood‐level social deprivation and post‐TAVR mortality and hospital readmission. Methods and Results We conducted a population‐based retrospective cohort study of all 4145 patients in Ontario, Canada, who received TAVR from April 1, 2017, to March 31, 2020. Our co‐primary outcomes were 1‐year postprocedure mortality and 1‐year postprocedure readmission. Using Cox proportional hazards models for mortality and cause‐specific competing risk hazard models for readmission, we evaluated the relationship between neighborhood‐level measures of residential instability, material deprivation, and concentration of racial and ethnic groups with post‐TAVR outcomes. After multivariable adjustment, we found a statistically significant relationship between residential instability and postprocedural 1‐year mortality, ranging from a hazard ratio of 1.64 to a hazard ratio of 2.05. There was a significant association between the highest degree of residential instability and 1‐year readmission (hazard ratio, 1.23 [95% CI, 1.01–1.49]). There was no association between material deprivation and concentration of racial and ethnic groups with post‐TAVR outcomes. Conclusions Residential instability was associated with increased risk for post‐TAVR mortality, and the highest quintile of residential instability was associated with increased post‐TAVR readmission. To reduce health disparities and promote an equitable health care system, further research and policy interventions will be required to identify and support economically and socially minoritized patients undergoing TAVR.