Resilience in the operating room: developing and testing of a resilience model

被引:164
作者
Gillespie, Brigid M. [1 ]
Chaboyer, Wendy
Wallis, Marianne
Grimbeek, Peter
机构
[1] Griffith Univ, Sch Nursing & Midwifery, Gold Coast, Qld, Australia
[2] Griffith Univ, Res Ctr Clin Pract Innovat, Nathan, Qld 4111, Australia
[3] Griffith Univ, Sch Nursing, Hlth Serv Dist, Nathan, Qld 4111, Australia
[4] Griffith Univ, Res Ctr Clin Practice Innovat & Glod Coast, Clin Nursing Res, Nathan, Qld 4111, Australia
[5] Griffith Univ, Sch Cognit Language & Special Educ, Brisbane, Qld 4111, Australia
关键词
empirical research report; perioperative nursing; questionnaire; regression model; resilience; stress; survey;
D O I
10.1111/j.1365-2648.2007.04340.x
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
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.
引用
收藏
页码:427 / 438
页数:12
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