COVID-19: frequently asked questions to the cardiologist

Optimizing the Patient Telemedicine Experience in an Orthopaedic Clinic

With the rapid advancements in today’s technology, the telemedicine model of healthcare has become an increasingly useful tool for healthcare providers and patients to interact outside of the confines of a traditional office visit. As a result of the COVID-19 pandemic, many providers have been forced to adopt a component of telemedicine into their practice. In an effort to improve the telemedicine system for continued use, 519 patients in an orthopaedic clinic at a Level One academic system were surveyed on their willingness and confidence to use telemedicine in future orthopaedic visits. Though most patients reported that they had been unwilling to use telemedicine for their current visit, the majority were neutral or willing to use telemedicine in the future. In this study, we present some challenges to the orthopaedic telemedicine visit, patient sentiment towards the current and future use of telemedicine in orthopaedics, as well as possible direction for improvement so that telemedicine can be better incorporated into the orthopaedic clinic.

Application of bow tie analysis and inherently safer design to the novel coronavirus hazard

This work involves the application of process safety concepts to other fields, specifically bow tie analysis and inherently safer design (ISD) to COVID-19. An analysis framework was designed for stakeholders to develop COVID-19 risk management plans for specific scenarios and receptor groups. This tool is based on the incorporation of the hierarchy of controls (HOC) within bow tie analysis to identify priority barriers. The analysis framework incorporates inherently safer design (ISD) principles allowing stakeholders to assess the adequacy of controls along with the consideration of degradation factors and controls. A checklist has also been developed to help stakeholders identify opportunities to apply the ISD principles of minimization, substitution, moderation, and simplification. This work also considers barrier effectiveness with respect to human and organization factors (HOF) in degradation factors and controls. This paper includes a collection of bow tie elements to develop bow tie diagrams for specific receptor groups and scenarios in Nova Scotia, Canada. The pandemic stage (At-Peak or Post-Peak) and its influence on different scenarios or settings is also considered in this work. Bow tie diagrams were developed for numerous receptor groups; bow tie diagrams modelling a generally healthy individual, a paramedic and a hair salon patron contracting COVID-19 are presented in this work.

The Impact of COVID-19 on Hospitalised COPD Exacerbations in Malta

METHOD

Data was collected retrospectively from electronic hospital records during the periods 1st March until 10th May in 2019 and 2020.

RESULTS

There was a marked decrease in AECOPD admissions in 2020, with a 54.2% drop in admissions (n = 119 in 2020 vs. n = 259 in 2019). There was no significant difference in patient demographics or medical comorbidities. In 2020, there was a significantly lower number of patients with AECOPD who received nebulised medications during admission (60.4% in 2020 vs. 84.9% in 2019; p ≤ 0.001). There were also significantly lower numbers of AECOPD patients admitted in 2020 who received controlled oxygen via venturi masks (69.0% in 2020 vs. 84.5% in 2019; p = 0.006). There was a significant increase in inpatient mortality in 2020 (19.3% [n = 23] and 8.4% [n = 22] for 2020 and 2019, respectively, p = 0.003). Year was found to be the best predictor of mortality outcome (p = 0.001). The lack of use of SABA pre-admission treatment (p = 0.002), active malignancy (p = 0.003), and increased length of hospital stay (p = 0.046) were also found to be predictors of mortality for AECOPD patients; however, these parameters were unchanged between 2019 and 2020 and therefore could not account for the increase in mortality.

CONCLUSIONS

There was a decrease in the number of admissions with AECOPD in 2020 during the COVID-19 pandemic, when compared to 2019. The year 2020 proved to be a significant predictor for inpatient mortality, with a significant increase in mortality in 2020. The decrease in nebuliser and controlled oxygen treatment noted in the study period did not prove to be a significant predictor of mortality when corrected for other variables. Therefore, the difference in mortality cannot be explained with certainty in this retrospective cohort study.