Publications by authors named "M Rachel Cullen"

Purpose: We describe nirmatrelvir/ritonavir (NMV/r) effectiveness in preventing hospitalization among COVID-19 patients at high risk of severe disease.

Methods: An ongoing US population-based observational cohort study with retrospective and prospective collection of national electronic healthcare data collected from the US Optum® deidentified COVID-19 Electronic Health Record dataset during December 22, 2021-July 20, 2022. Participants were ≥12 years old; had a positive SARS-CoV-2 test, COVID-19 diagnosis, or NMV/r prescription; and were at high risk of severe COVID-19 based on demographic/clinical characteristics.

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Background: Internal medicine (IM) residents face significant challenges when pursing subspecialty fellowships. This study determined the factors that differentiate IM residents entering pulmonary and critical care medicine (PCCM) fellowships from those pursuing other careers.

Methods: We completed a retrospective study of 12 classes of IM residents at a single institution completing residency between 2010 and 2021.

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Introduction In the complex landscape of healthcare economics, the financial relationship between physicians and industry remains a topic of significant interest and reflection. While the dynamics of industry relationships in certain orthopedic subspecialties have been well documented, the intricacies of industry payments within musculoskeletal (MSK) oncology programs have yet to be thoroughly explored. In this study, we aim to examine the relationship between academic and industry productivity at the fellowship level.

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Background: The optimal timing of anticoagulation for patients with acute ischaemic stoke with atrial fibrillation is uncertain. We investigated the efficacy and safety of early compared with delayed initiation of direct oral anticoagulants (DOACs) in patients with acute ischaemic stroke associated with atrial fibrillation.

Methods: We performed a multicentre, open-label, blinded-endpoint, parallel-group, phase 4, randomised controlled trial at 100 UK hospitals.

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Background: Instructors used generative artificial intelligence (AI) as a teaching tool in a third-year baccalaureate nursing leadership course to help students understand and critique a change management proposal.

Method: Instructors used generative AI to develop a sample section of a change proposal for students to critique in class followed by a class discussion.

Results: Using generative AI enabled instructors to quickly develop a sample section of a change proposal for students to critique.

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