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Implementation of a Smartphone App to Measure and Manage Anxiety in Undergraduate Clinical Nursing Students
Anya Bostian Peters1, Marni Kellogg, Yuan Zhang
1About the Authors Anya Bostian Peters, PhD, RN, CNE, is an assistant professor, University of Massachusetts Lowell Solomont School of Nursing, Lowell, Massachusetts. Marni Kellogg, PhD, MSN, RN, CPN, is an assistant professor, University of Massachusetts Dartmouth, Dartmouth, Massachusetts. Yuan Zhang, PhD, RN, is an assistant professor, University of Massachusetts Lowell. The authors acknowledge Dr. Gaunling Chen and Alexey Romanov for their computer science expertise. This research was funded through a University of Massachusetts Lowell SEED Grant. For more information, contact Dr. Peters at Anya_Peters@uml.edu.
Abstract:
Various causes exist for nursing student anxiety in the clinical setting. There is a need for further intervention research that may be effective to reduce student anxiety related to clinical. The purpose of this pilot research study was to measure and manage anxiety for nursing students in the clinical area with the assistance of a smartphone app. The usefulness of the app was evaluated by means of a focus group.
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Individuals with anxiety often experience a range of physical and emotional symptoms, including sweating, trembling, tachycardia, and disturbances in sleep patterns. These symptoms vary in intensity and frequency but are generally disruptive and distressing.
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