International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Experiences of Healthcare Workers with High-Fidelity Simulation in Respiratory Therapy Training: Perceived Benefits, Challenges, and Impact on Clinical Skills

Authors: Hashem F. Alsamannoudi, Mohammed A. Al Mesned

DOI: https://doi.org/10.5281/zenodo.13254062

Short DOI: https://doi.org/gt6b4p

Country: Saudi Arabia

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Abstract: Background: High-fidelity simulation (HFS) is increasingly used in respiratory therapy training to enhance clinical skills and decision-making. This study explores healthcare workers' experiences with HFS, focusing on perceived benefits, challenges, and its impact on clinical skills.

Methods: A qualitative approach was employed, utilizing semi-structured interviews and focus group discussions with 20 healthcare workers from a tertiary hospital. Data were analyzed thematically to identify key themes and sub-themes.

Findings: Participants reported several benefits, including enhanced clinical skills, increased confidence, and improved decision-making. Challenges included technical issues, equipment maintenance, and the resource-intensive nature of HFS. Despite these challenges, participants noted significant positive impacts on skill retention and real-life application of learned skills.

Conclusion: High-fidelity simulation provides substantial benefits for respiratory therapy training but is accompanied by notable challenges. Addressing these challenges through improved technical support and resource allocation could enhance the effectiveness of simulation-based training.

Keywords: High-Fidelity Simulation, Respiratory Therapy, Clinical Skills, Healthcare Training, Simulation Challenges, Qualitative Research


Paper Id: 230821

Published On: 2023-05-02

Published In: Volume 11, Issue 3, May-June 2023

Cite This: Experiences of Healthcare Workers with High-Fidelity Simulation in Respiratory Therapy Training: Perceived Benefits, Challenges, and Impact on Clinical Skills - Hashem F. Alsamannoudi, Mohammed A. Al Mesned - IJIRMPS Volume 11, Issue 3, May-June 2023. DOI 10.5281/zenodo.13254062

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