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Related Experiment Videos

Evaluating Home Healthcare Workers' Safety Hazard Detection Ability Using Virtual Simulation.

Steven A Lavender1, Barbara J Polivka, Amy R Darragh

  • 1Steven A. Lavender, PhD, CPE, is an Associate Professor, Departments of Integrated Systems Engineering & Orthopaedics, The Ohio State University, Columbus, Ohio. Barbara J. Polivka, PhD, RN, FAAN, is an Associate Dean of Research & Professor, School of Nursing, University of Kansas Medical Center, Kansas City, Kansas. Amy R. Darragh, PhD, OTR/L, is an Associate Professor, School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, Ohio. Carolyn M. Sommerich, PhD, CPE, is an Associate Professor, Departments of Integrated Systems Engineering, The Ohio State University, Columbus, Ohio. Donald L. Stredney, MA, is Director, Interface Lab, The Ohio State University, Columbus, Ohio. Celia E. Wills, PhD, RN, is an Associate Professor, College of Nursing, The Ohio State University, Columbus, Ohio.

Home Healthcare Now
|September 5, 2019
PubMed
Summary

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Home healthcare workers (HHWs) using a virtual simulation training system (HH-VSTS) identified most common safety hazards. The system needs hints to help users find less obvious risks, improving training for occupational safety.

Area of Science:

  • Occupational Health and Safety
  • Virtual Reality Training
  • Healthcare Education

Background:

  • Home healthcare workers (HHWs) face significant occupational safety hazards in patient homes.
  • These hazards include electrical, fire, burn, environmental, and slip/trip/lift risks.
  • Effective training is crucial to mitigate these risks and prevent injuries.

Purpose of the Study:

  • To evaluate the effectiveness of a home healthcare virtual simulation training system (HH-VSTS) in identifying occupational hazards.
  • To assess the ability of HHWs to recognize both salient and less salient hazards within a virtual environment.
  • To identify areas for improvement in virtual hazard training for HHWs.

Main Methods:

  • Developed a HH-VSTS with three hazard-specific modules and an assessment module.

Related Experiment Videos

  • Trainees navigated virtual environments to identify and report hazards.
  • Evaluated the hazard identification performance of 49 HHWs across different hazard categories.

    • Main Results:

    • Participants successfully identified most salient hazards (e.g., clutter, unattended candles, biohazard stains).
    • Struggles were noted in identifying less salient hazards like frayed cords, oxygen leaks, and improper temperatures.
    • Most hazards were discoverable by novice users, but less obvious ones posed challenges.

    Conclusions:

    • The HH-VSTS is a viable tool for training HHWs on occupational safety hazards.
    • Incorporating hints within the HH-VSTS is recommended to guide users towards less familiar hazards.
    • Further development should focus on enhancing the system's ability to teach recognition of subtle risks.