Abstract
Title. Resilience in the operating room: developing and testing of a resilience model Aim. This paper is a report of a study to examine the relation of perceived competence, collaboration, control, self-efficacy, hope, coping, age, experience, education and years of employment to resilience in operating room (OR) nurses. Background. Resilience is viewed as a vital attribute for nurses because it augments adaptation in demanding and volatile clinical environments such as ORs. However, there has been little research into the utility of resilience as a means of dealing with workplace stress, and there is only limited understanding of variables that explain resilience in the context of nursing. Method. A correlational cross-sectional survey design was used. Of a national sample of 2860 Australian OR nurses, 1430 were selected by systematic random sampling and invited to complete a questionnaire in 2006. The instrument included scales measuring perceived competence, collaboration, control, self-efficacy, hope, coping and resilience, and gathered information about the demographic characteristics of respondents. Results. Two regression models were used to develop a model of resilience. An initial model tested the hypothesis that a set of 12 explanatory variables contributed to resilience in OR nurses. Five variables (hope, self-efficacy, coping, control and competence) explained resilience at statistically significant levels. Age, experience, education and years of employment did not contribute to resilience at statistically significant levels. The final model explained 60% of the variance. In both models, the strongest explanatory variables were hope, self-efficacy and coping. Conclusion. Identification of explanatory variables that contribute to resilience in ORs may assist in implementing strategies that promote these behaviours, and thus retain nurses in this specialty. © Blackwell Publishing Ltd.
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Gillespie, B. M., Chaboyer, W., Wallis, M., & Grimbeek, P. (2007). Resilience in the operating room: Developing and testing of a resilience model. Journal of Advanced Nursing, 59(4), 427–438. https://doi.org/10.1111/j.1365-2648.2007.04340.x
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