Perceived Usefulness of Robotic Technology for Patient Fall Prevention.

Journal: Workplace health & safety
PMID: 39269258

Abstract

BACKGROUND: Technology has the potential to prevent patient falls in healthcare settings and to reduce work-related injuries among healthcare providers. However, the usefulness and acceptability of each technology requires careful evaluation. Framed by the Technology Acceptance Model (TAM) and using the Adaptive Robotic Nursing Assistant (ARNA) to assist with patient ambulation, the present study examined the perceived usefulness of robots in patients' fall prevention with implications for preventing associated work-related injuries among healthcare providers.

Authors

  • M Cynthia Logsdon
    School of Nursing, University of Louisville, Louisville, KY, United States.
  • Irina Kondaurova
    University of Louisville.
  • Nancy Zhang
    University of Louisville.
  • Sumit Das
    Electrical and Computer Engineering Department, University of Louisville, Louisville, KY, United States.
  • Bryan D Edwards
    Oklahoma State University System.
  • Heather Mitchell
    School of Nursing, University of Louisville, Louisville, KY, United States.
  • Olfa Nasroui
    University of Louisville.
  • Marjorie Erdmann
    Oklahoma State University System.
  • Hyejin Yu
    Oklahoma State University System.
  • Moath Alqatamin
    University of Louisville.
  • Payman Sharafian Ardakani
    University of Louisville.
  • Emmaline Wuensch
  • Dan O Popa

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