The effect of a training webinar on decreasing inter-observer variability in making a radiologic diagnosis of bronchiectasis.

Non-cystic fibrosis bronchiectasis is a clinically important disease with an estimated 340,000-522,000 persons living with the disease and 70,000 being diagnosed annually. The radiographic diagnosis remains a pivotal part of recognizing the disease due to its protean clinical manifestations. As physicians are sensitized to this disease, a greater proportion of patients are being diagnosed with mild to moderate bronchiectasis. Despite the established use of CT chest as the main tool for making a radiologic diagnosis of bronchiectasis, the literature supporting the process of making that diagnosis is somewhat sparse. Concurrently, there has been an increased trend to have Web-based radiologic tutorials due to its convenience, the ability of the learner to set the pace of learning and the reduced cost compared to in-person learning. The COVID-19 pandemic has accelerated this trend. We wanted to look carefully at the effect of a Web-based training session on interrater reliability. Agreement was calculated as percentages and kappa and prevalence adjusted kappa calculated. We found that a single Web-based training session had little effect on the variability and accuracy of diagnosis of bronchiectasis. Larger studies are needed in this area with multiple training sessions.

Death among patients hospitalized with symptomatic COVID-19: Implications for high-risk patients.

BACKGROUND: We aimed to examine the role played by the COVID-19 infection in patients' death and to determine the proportion of patients for whom it was a major contributor to death. METHODS: We included patients ≥50 years old who were hospitalized with COVID-19 infection and died between March 1, 2020 and September 30, 2020 in a tertiary medical center. We considered COVID-19 infection to be a major cause for death if the patient had well-controlled medical conditions and death was improbable without coronavirus infection, and a minor cause for death if the patient had serious illnesses and had an indication for palliative care. RESULTS: Among 243 patients, median age was 80 (interquartile intervals: 72-86) and 40% were female. One in two had moderate or severe frailty and 41% had dementia. Nearly 60% of the patients were classified as having advanced, serious illnesses present prior to the hospitalization, with death being expected within 12 months, and among this group 39% were full code at admission. In the remaining 40% of patients, deaths were classified as unexpected based on patients' prior conditions, suggesting that COVID-19 infection complications were the primary contributor to death. CONCLUSIONS: For slightly less than half (40%) of patients who died of complications of COVID-19, death was an unexpected event. Among the 60% of patients for whom death was not a surprise, our findings identify opportunities to improve end-of-life discussions and implement shared decision-making in high-risk patients early on or prior to hospitalization.

Evaluation of rapid telehealth implementation for prenatal and postpartum care visits during the COVID-19 pandemic in an academic clinic in Springfield, Massachusetts, United States of America.

BACKGROUND AND AIMS: COVID-19 forced healthcare systems to implement telehealth programs, facilitated in Massachusetts by a policy requiring insurers to reimburse for telehealth visits. Prior studies suggest that telehealth is effective for obstetric care, but little is known about its implementation in response to policy changes in underserved communities. We utilized the RE-AIM framework to evaluate telehealth implementation in a large academic urban obstetric practice that serves a medically underserved population. METHODS: RE-AIM elements were assessed through retrospective review of electronic health record (EHR) data for all obstetric encounters between March 19 and August 31, 2020 and review of clinic implementation processes. Data extracted included demographics, number and type (in-person or telehealth) of prenatal visits, prenatal diagnoses, delivery outcomes, and number and type of postpartum visits. Data were analyzed using descriptive statistics. RESULTS: A total of 558 patients (60.6% Hispanic; 13.2% primary language Spanish) had 1788 prenatal visits, of which 698 (39.0%) were telehealth visits. A total of 209 patients had 230 postpartum visits, of which 101 (48.3%) were telehealth visits. The Reach of the intervention increased from 0% of patients at baseline to 69% in August. Effectiveness measures were limited but suggested potential for earlier diagnosis of some prenatal conditions. Adoption was high, with all 30 providers using telehealth, and the telehealth was found to likely be feasible and acceptable based on uptake. Increases in the percentage of telehealth visits over time and continuation post-lockdown suggested maintenance was potentially achievable. CONCLUSIONS: The COVID-19 pandemic has changed traditional approaches to healthcare delivery. We demonstrate that the use of the RE-AIM framework can be effective in facilitating implementation of telephone visits in a large academic urban obstetric practice after state-level policy change. This may be of particular importance in settings serving patients at higher risk for maternal morbidity and poor birth outcomes.