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Claire K. Ankuda

Researcher at Icahn School of Medicine at Mount Sinai

Publications -  59
Citations -  690

Claire K. Ankuda is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Medicine & Health care. The author has an hindex of 10, co-authored 37 publications receiving 359 citations. Previous affiliations of Claire K. Ankuda include University of Washington & University of Michigan.

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Experiences of Home Health Care Workers in New York City During the Coronavirus Disease 2019 Pandemic: A Qualitative Analysis.

TL;DR: Home health care workers were on the front lines of the COVID-19 pandemic but felt invisible; reported a heightened risk for virus transmission; received varying amounts of information, supplies, and training from their home care agencies; and were forced to make difficult trade-offs in their work and personal lives.
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Measuring critical deficits in shared decision making before elective surgery

TL;DR: In this article, the authors examined patterns and predictors of deficiencies in informed surgical consent and shared decision-making in preoperative patients and identified patient factors correlated with specific needs in pre-operative decision making.
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Association Between Purpose in Life and Glucose Control Among Older Adults.

TL;DR: Among older adults, greater purpose in life is associated with a lower incidence of prediabetes or type 2 diabetes.
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Association Between Spousal Caregiver Well-Being and Care Recipient Healthcare Expenditures

TL;DR: To measure the association between spousal depression, general health, fatigue and sleep, and future care recipient healthcare expenditures and emergency department (ED) use, a large number of patients are referred for treatment through the EMTs.
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Classifying variants of CDKN2A using computational and laboratory studies.

TL;DR: The Bayesian model appears to be a sound method of classifying missense variants in cancer susceptibility genes using a Bayesian method to combine multiple data types and derive a probability of pathogenicity.