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Personalized Learning Through Simulation: Assessing the Structured Communication Tool's Effect on Nurse-Physician Communication - A Pilot Study
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Author(s): Abdelkader Amechghal (Faculty of Medicine and Pharmacy, Ibn Zohr University, Morocco), Aziz Naciri (University Hassan II, Morocco), Fouzia Zaroual (Higher Institute of Nursing Professions and Health Techniques, Morocco), Nouhaila Lagrini (Higher Institute of Nursing Professions and Health Techniques, Morocco), Doha Rmili (Higher Institute of Nursing Professions and Health Techniques, Morocco), Kamal Takhdat (Higher Institute of Nursing Professions and Health Techniques, Morocco)and Hicham Nassik (Faculty of Medicine and Pharmacy, Agadir, Morocco)
Copyright: 2025
Pages: 16
Source title:
Personalized Learning Through Adaptive Systems and Intelligent Tutoring
Source Author(s)/Editor(s): Assia Benabid (University Hassan II, Morocco), Imane El Imadi (University of Hassan II, Morocco)and Ghizlane Chemsi (University Hassan II, Morocco)
DOI: 10.4018/979-8-3373-0740-4.ch007
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Abstract
A lack of standardized communication was identified among Intesive Care Unite (ICU) providers in a public hospital in southern Morocco. This quasi-experimental pre-post test study aimed to evaluate the effectiveness of personalized simulation-based learning using the SAED tool (French adaptation of SBAR) to enhance structured communication between nurses and physicians in intensive care. Eleven nurses participated in the study, which employed three data collection instruments: a sociodemographic questionnaire, a SAED knowledge assessment, and an evaluation of communication as perceived by the recipient. Data analysis through SPSS revealed significant improvements in participants' theoretical knowledge of the SAED tool and their performance in structured communication during telephone calls with physicians. The study demonstrates the effectiveness of this approach in enhancing ICU nurses' communication skills, suggesting potential benefits for patient safety and quality of care, although further research with larger samples is recommended to validate these findings.
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