scholarly journals Pandemic Response to COVID-19: Lessons from Restructuring Breast Imaging at a Multi-site Academic Center in New York City

2021 ◽  
Vol 9 (10) ◽  
Author(s):  
Ami D. Shah ◽  
Katharine D. Maglione ◽  
Lisa Abramson ◽  
Laurie R. Margolies
2020 ◽  
Vol 60 (2) ◽  
pp. e14-e17 ◽  
Author(s):  
Sigal Israilov ◽  
Mona Krouss ◽  
Milana Zaurova ◽  
Hillary S. Jalon ◽  
Georgia Conley ◽  
...  

2020 ◽  
Vol 182 (1) ◽  
pp. 239-242 ◽  
Author(s):  
Kevin Kalinsky ◽  
Melissa K. Accordino ◽  
Kristina Hosi ◽  
Jessica E. Hawley ◽  
Meghna S. Trivedi ◽  
...  

2016 ◽  
Vol 111 ◽  
pp. S487
Author(s):  
Shailja Shah ◽  
Chiaki Nakata ◽  
Steven Itzkowitz ◽  
Alexandros D. Polydorides

2021 ◽  
Vol 9 ◽  
Author(s):  
Anant Dinesh ◽  
Taha Mallick ◽  
Tatiana M. Arreglado ◽  
Brian L. Altonen ◽  
Ryan Engdahl

Introduction: In the initial pandemic regional differences may have existed in COVID-19 hospitalizations and patient outcomes in New York City. Whether these patterns were present in public hospitals is unknown. The aim of this brief study was to investigate COVID-19 hospitalizations and outcomes in the public health system during the initial pandemic response.Methods: A retrospective review was conducted on COVID-19 admissions in New York City public hospitals during the exponential phase of the pandemic. All data were collected from an integrated electronic medical records system (Epic Health Systems, Verona, WI). Overall, 5,422 patients with at least one admission each for COVID-19 were reviewed, with a study of demographic characteristics (including age, gender, race, BMI), pregnancy status, comorbidities, facility activity, and outcomes. Data related to hospitalization and mortality trends were also collected from City of New York website. These data often involved more than one facility and/or service line resulting in more location or treatment facility counts than patients due to utilization of services at more than one location and transfers between locations and facilities.Results: Higher mortality was associated with increasing age with the highest death rate (51.9%) noted in the age group >75 years (OR 7.88, 95%CI 6.32–10.08). Comorbidities with higher mortality included diabetes (OR 1.5, 95% CI 1.33–1.70), hypertension (OR 1.62, 95% CI 1.44–1.83), cardiovascular conditions (OR 1.66, 95% CI 1.47–1.87), COPD (OR 1.86, 95% CI 1.39–2.50). It was deduced that 20% of all New York City COVID-19 positive admissions were in public health system during this timeframe. A high proportion of admissions (21.26%) and deaths (19.93%) were at Elmhurst Hospital in Queens. Bellevue and Metropolitan Hospitals had the lowest number of deaths, both in borough of Manhattan. Mortality in public hospitals in Brooklyn was 29.9%, Queens 28.1%, Manhattan 20.4%.Conclusion: Significant variations existed in COVID-19 hospitalizations and outcomes in the public health system in New York City during the initial pandemic. Although outcomes are worse with older age and those with comorbidities, variations in hospitals and boroughs outside of Manhattan are targets to investigate and strategize efforts.


2021 ◽  
Vol 111 (S3) ◽  
pp. S193-S196
Author(s):  
Matthew Peter Mannix Montesano ◽  
Kimberly Johnson ◽  
Andrew Tang ◽  
Jennifer Sanderson Slutsker ◽  
Pui Ying Chan ◽  
...  

Making public health data easier to access, understand, and use makes it more likely that the data will be influential. Throughout the COVID-19 pandemic, the New York City (NYC) Department of Health and Mental Hygiene’s Web-based data communication became a cornerstone of NYC’s response and allowed the public, journalists, and researchers to access and understand the data in a way that supported the pandemic response and brought attention to the deeply unequal patterns of COVID-19’s morbidity and mortality in NYC. (Am J Public Health. 2021;111(S3):S193–S196. https://doi.org/10.2105/AJPH.2021.306446 )


Author(s):  
Eryn Hart Dutta ◽  
Michael Barker ◽  
Robert Gherman

Under the direction of U.S. Northern Command for COVID-19 pandemic response efforts, approximately 500 Navy Reserve medical professionals were deployed to the New York City area from April to June 2020. Some of these providers were asked to serve in 11 overburdened local hospitals to augment clinic staffs that were exhausted from the battle against coronavirus. Two maternal/fetal medicine physicians were granted emergency clinical providers to assist in these efforts. Key Points


Author(s):  
Wan Yang ◽  
Sasikiran Kandula ◽  
Mary Huynh ◽  
Sharon K. Greene ◽  
Gretchen Van Wye ◽  
...  

AbstractDuring March 1-May 16, 2020, 191,392 laboratory-confirmed COVID-19 cases were diagnosed and reported and 20,141 confirmed and probable COVID-19 deaths occurred among New York City (NYC) residents. We applied a network model-inference system developed to support the City’s pandemic response to estimate underlying SARS-CoV-2 infection rates. Based on these estimates, we further estimated the infection fatality risk (IFR) for 5 age groups (i.e. <25, 25-44, 45-64, 65-74, and 75+ years) and all ages overall, during March 1–May 16, 2020. We estimated an overall IFR of 1.45% (95% Credible Interval: 1.09-1.87%) in NYC. In particular, weekly IFR was estimated as high as 6.1% for 65-74 year-olds and 17.0% for 75+ year-olds. These results are based on more complete ascertainment of COVID-19-related deaths in NYC and thus likely more accurately reflect the true, higher burden of death due to COVID-19 than previously reported elsewhere. It is thus crucial that officials account for and closely monitor the infection rate and population health outcomes and enact prompt public health responses accordingly as the pandemic unfolds.


2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 88-88
Author(s):  
Tejus Satish ◽  
Rohit Raghunathan ◽  
Jake Prigoff ◽  
Jason Dennis Wright ◽  
Grace Hillyer ◽  
...  

88 Background: The coronavirus disease 2019 (COVID-19) pandemic has altered healthcare delivery. To save resources and reduce patient exposure, non-urgent care has been postponed. Previous work has focused on cancer patients with COVID-19, but little has been reported on the impact on patients without COVID-19. We aimed to characterize breast cancer (BC) patients without COVID-19 whose care was impacted by the COVID-19 pandemic at an academic center in New York City. Methods: We performed a retrospective cohort study of BC patients treated at a medical oncology practice between 2/1/2020-4/30/2020. Patients were included if they were scheduled to receive intravenous or injectable therapy or were scheduled as a new patient. Patients were excluded if they tested positive for COVID-19 or transferred care during the study period. Demographic and treatment information were obtained by chart review. Delays/changes in systemic therapy, imaging, interventional radiology procedures, radiation, and surgery were tracked. Delays were defined as postponements of scheduled care. Changes were defined as care alterations without postponements. Care impact was defined as any change/delay in any of the above oncologic care a patient was scheduled for. We conducted a univariate analysis to compare demographics and care impact using χ2 analyses. Results: Of 351 eligible patients, the majority had stage 0-III BC (71.9%) and hormone receptor-positive HER2-negative BC (69.5%). Less than half were Caucasian (43.9%). Care was impacted due to the pandemic in 149 (42.5%) of patients. Surgery changes/delays were most frequent (37 of 84 patients, 44.0%), followed by changes/delays in systemic therapy (90 of 351 patients, 25.6%) and imaging (58 of 282 patients, 20.6%). Patients of Asian, Black, and other non-reported races were more likely to experience a care impact vs. Caucasian patients (47.1% vs. 44.4% vs. 55.6% vs. 31.2%, p = 0.001). Hispanic patients were more frequently impacted vs. non-Hispanic patients (47.6% vs. 35.9%, p = 0.06). Medicaid and Medicare patients were also more frequently impacted vs. commercially insured patients (54.7% vs. 41.4% vs. 36.2%, p = 0.02). BC stage and hormone receptor status were not significantly associated with care impacts. Conclusions: We found that nearly half of our BC patients experienced a change/delay in workup or treatment during the COVID-19 pandemic. We also found significant racial and socioeconomic disparities in the likelihood of care impact. Ongoing studies will determine the impact of alterations in care on cancer outcomes.


2021 ◽  
Vol 74 (3) ◽  
pp. e154-e155
Author(s):  
Vivek Prakash ◽  
Nicholas Stafford ◽  
Ajit Rao ◽  
Peter Cooke ◽  
Scott Safir ◽  
...  

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