Kenrick Cato

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Communicating narrative Concerns entered by RNs (CONCERN)

Open Date: 2017-04-06

Close Date: 2022-01-31

Articles (11)

Background Compared to other providers, nurses spend more time with patients, but the exact quantity and nature of those interactions remain largely unknown. The purpose of this study was to characterize the interactions of nurses at the bedside using continuous surveillance over a year long period. Methods Nurses' time and activity at the bedside were characterized using a device that integrates the use of obfuscated computer vision in combination with a Bluetooth beacon on the nurses' identification badge to track nurses' activities at the bedside. The surveillance device (AUGi) was installed over 37 patient beds in two medical/surgical units in a major urban hospital. Forty‐nine nurse users were tracked using the beacon. Data were collected 4/15/19–3/15/20. Statistics were performed to describe nurses' time and activity at the bedside. Results A total of n = 408,588 interactions were analyzed over 670 shifts, with >1.5 times more interactions during day shifts ( n = 247,273) compared to night shifts ( n = 161,315); the mean interaction time was 3.34 s longer during nights than days ( p < 0.0001). Each nurse had an average of 7.86 (standard deviation [SD] = 10.13) interactions per bed each shift and a mean total interaction time per bed of 9.39 min (SD = 14.16). On average, nurses covered 7.43 beds (SD = 4.03) per shift (day: mean = 7.80 beds/nurse/shift, SD = 3.87; night: mean = 7.07/nurse/shift, SD = 4.17). The mean time per hourly rounding (HR) was 69.5 s (SD = 98.07) and 50.1 s (SD = 56.58) for bedside shift report. Discussion As far as we are aware, this is the first study to provide continuous surveillance of nurse activities at the bedside over a year long period, 24 h/day, 7 days/week. We detected that nurses spend less than 1 min giving report at the bedside, and this is only completed 20.7% of the time. Additionally, hourly rounding was completed only 52.9% of the time and nurses spent only 9 min total with each patient per shift. Further study is needed to detect whether there is an optimal timing or duration of interactions to improve patient outcomes. Clinical Relevance Nursing time with the patient has been shown to improve patient outcomes but precise information about how much time nurses spend with patients has been heretofore unknown. By understanding minute‐by‐minute activities at the bedside over a full year, we provide a full picture of nursing activity; this can be used in the future to determine how these activities affect patient outcomes.

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Collaborators (21)

Aviv Landau

University of Pennsylvania

UNITED STATES
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Veronica Barcelona

Assistant Professor

Columbia University School of Nursing

UNITED STATES
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Jiyoun Song

University of Pennsylvania

UNITED STATES
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Monica Oxford

Research Professor

University of Washington

UNITED STATES
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Ana Beduschi

Professor of Law

University of Exeter

UNITED KINGDOM
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Deborah R Levy

Lecturer

Yale University School of Medicine

UNITED STATES
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Charlene Ronquillo

Assistant Professor

University of British Columbia Okanagan

CANADA
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Maxim Topaz

Associate Professor

Columbia University

UNITED STATES
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Fang Yu

University of Minnesota

UNITED STATES
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Kathryn H. Bowles

-

UNITED STATES
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Carolyn Sun

Associate Professor

Hunter College

UNITED STATES
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Sarah Rossetti

Assistant Professor of Biomedical Informatics and Nursing

Columbia University

UNITED STATES
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Kevin Johnson

University of Pennsylvania

UNITED STATES
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Hans Moen

Aalto University

FINLAND
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Kobi Nathan

Associate Professor of Pharmacy Practice

St. John Fisher College

UNITED STATES
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Sena Chae

Assistant professor

Iowa State University

UNITED STATES
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Todd Monroe

Associate Professo

Ohio State University

UNITED STATES
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Jennifer Sonney

Assistant Professor, Elizabeth C. Giblin Endowed Professor of Symptom Science

University of Washington School of Nursing

UNITED STATES
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Martin Michalowski

Associate Professor

University of Minnesota

UNITED STATES
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Kathi Heffner

Professor

University of Rochester Medical Center

UNITED STATES
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Laura-Maria Peltonen

University of Turku

FINLAND
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