Authors: Konstantinos Koronios, Lazaros Ntasis, Petros Kolovos, Andreas Papadopoulos

Title: Emotional intelligence and nursing motivation, satisfaction and performance

Abstract

Various researchers have indicated that the academic education of nursing staff can be enhanced by integrating emotional intelligence courses into the nursing modules. Nevertheless, the relations among emotional intelligence and motivation, satisfaction and performance in nursing students is not yet sufficiently developed. The aim of the present research was to explore these relations among undergraduate nurses during their practice training.

Emotions are significant as they affect what individuals consider, individuals’ way of thinking, and are fundamental for individuals to take proper resolutions, take the most suitable act to face problems, deal with alteration, and succeed (Beauvais et al., 2011). Nursing staff develops and preserves relations within emotionally saturated environments where emotion is a crucial component of healthcare conveyance. Clinical choices, inherently bound by professional ethics and codes of conduct, take place in unstable and turbulent environments. Emotions affect professional relations, influence patient care actions and impact healthcare professionals at a psychological level (Smith, Profetto-McGrath & Cummings, 2009)

In a line of work where nursing staff could be confronted with life-and-death dilemmas, all factors, encompassing data gathered from emotions, could be regarded crucial (Beauvais et al., 2011). Enhanced decision making as well as problem facing is one justification that emotional intelligence has been recognized as an element of efficient nursing motivation, satisfaction and performance (Moyer and Wittmann-Price, 2007)

A quantitative research was used for the purpose of the study and a sum of 63 questionnaires were gathered from nursing students who were conducting their practice training and analyzed with SPSS software.

The following research focused on the nurses’ staff of the private hospitals in Greece. Moreover, (n=54, 74%) are females and (n=19, 26%) are males. Additionally, the most nurses are between 36 to 40 years old (n=43, 57,9%). Multiple  regression analysis was used to predict the emotional intelligence. In order to examine the contribution of variables to the prediction of emotional intelligence, the other three factors variables were added into the multiple regression equation. We investigate that (F =134.143, p = .000), and (Adjusted R square=0.854). Finally, all independent variables motivation satisfaction and performance are significant effected the emotional intelligence of nurses.