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Designing Simulation interventions to Reduce Stress Among Ne | 56067

Journal des soins infirmiers cliniques et de la pratique

Abstrait

Designing Simulation interventions to Reduce Stress Among New Graduate Nurses in the Intensive Care Units in Saudi Arabia: A Mixed Methods Design

Ayidah Sanad Alqarni

 

 Stress is often associated with being exposed to pressure usually in the working environment. Numerous research­es were establishing in health care professional specifical­ly among nurses the negative impact of job related stress. Among the many factors, communication and workload have been as major factors that contribute to stress. Over the years, simulation training has been used an alterna­tive clinical experience to assess clinical competence for new graduate nurses in response to specific clinical sit­uations. Simulation learning is envisaged to be a novel route towards reducing stress and gaining access to rel­evant clinical experience that may be essential to new graduate nurses. The aim of this study was to explored stressors among new graduate registered nurses in the intensive care units (ICUs) in one hospital in Saudi Ara­bian and explores the use of a complex intervention of simulation based learning exercise (SBLE) to assist in re­ducing stress. This research was designed based on mixed method design with interventions. The research involved three studies, which incorporated both quantitative and qualitative approaches, whereby a sequential exploratory design was explored. Study 1: 189 Saudi new graduate registered nurses were surveyed about their experiences of stress in their units using the expanded nurse stress scale (ENSS) and perceived stress scales (PSS). Interviewed 5 nurse educators in one group discussion about their ed­ucational support for graduates in their units. Study 3: Individual interviews of 10 new graduate registered nurs­es of their experiences in ICUs.The results from both the approaches were then integrated using complementarity and triangulation techniques, and was designed a com­plex intervention which was Simulation Based Learning (SBL) but not implemented to potentially better manage these stressors.

 

 Stress is often associated with being exposed to pressure usually in the working environment. Numerous research­es were establishing in health care professional specifical­ly among nurses the negative impact of job related stress. Among the many factors, communication and workload have been as major factors that contribute to stress. Over the years, simulation training has been used an alterna­tive clinical experience to assess clinical competence for new graduate nurses in response to specific clinical sit­uations. Simulation learning is envisaged to be a novel route towards reducing stress and gaining access to rel­evant clinical experience that may be essential to new graduate nurses. The aim of this study was to explored stressors among new graduate registered nurses in the intensive care units (ICUs) in one hospital in Saudi Ara­bian and explores the use of a complex intervention of simulation based learning exercise (SBLE) to assist in re­ducing stress. This research was designed based on mixed method design with interventions. The research involved three studies, which incorporated both quantitative and qualitative approaches, whereby a sequential exploratory design was explored. Study 1: 189 Saudi new graduate registered nurses were surveyed about their experiences of stress in their units using the expanded nurse stress scale (ENSS) and perceived stress scales (PSS). Interviewed 5 nurse educators in one group discussion about their ed­ucational support for graduates in their units. Study 3: Individual interviews of 10 new graduate registered nurs­es of their experiences in ICUs.The results from both the approaches were then integrated using complementarity and triangulation techniques, and was designed a com­plex intervention which was Simulation Based Learning (SBL) but not implemented to potentially better manage these stressors.

Clause de non-responsabilité : Ce résumé a été traduit à l'aide d'outils d'intelligence artificielle et n'a pas encore été révisé ou vérifié.