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Thomas McGinn

Researcher at Hofstra University

Publications -  128
Citations -  12974

Thomas McGinn is an academic researcher from Hofstra University. The author has contributed to research in topics: Population & Health care. The author has an hindex of 35, co-authored 123 publications receiving 10091 citations. Previous affiliations of Thomas McGinn include Mount Sinai Hospital & Icahn School of Medicine at Mount Sinai.

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Clinical prediction guides.

TL;DR: Predicting on the basis of history, physical examinations, and laboratory results when diagnose, prognosticate, discuss causes, and choose treatment options is central to most of the authors' actions as clinicians.
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In-Hospital 30-Day Survival Among Young Adults With Coronavirus Disease 2019: A Cohort Study

TL;DR: In this article, the authors identified obesity as the strongest negative predictor of 30-day in-hospital survival in young adults with confirmed COVID-19 between March 1 and April 27, 2020 were included in the study.
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Feasibility and impact of a guided symptom exposure augmented cognitive behavior therapy protocol to prevent symptoms of pharmacologically induced depression: A pilot study.

TL;DR: It is demonstrated that a psychosocial prevention intervention is feasible for use in patients at risk for developing pharmacologically induced depression and that a guided symptom exposure augmented CBT protocol has the potential to prevent symptoms of depression that develop as a side effect to taking these medications.
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Deciding whether to screen for abusive head trauma: do we need a clinical decision rule?

TL;DR: The derivation of a CDR is described to help PICU physicians determine which children <3 years of age with non-vehicle associated TBI do NOT need an evaluation for AHT, and it would be the first CDR to assess which children should be screened for any type of abuse.
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CDS, UX, and System Redesign – Promising Techniques and Tools to Bridge the Evidence Gap

TL;DR: This special issue of eGEMs explores the struggles related to bringing evidence into day-to-day practice, what I define as the “evidence gap,” and explores CDS systems and how to best bring providers and their work environment to the evidence.