|
|
Thesis/Dissertation Information
- Degree Disciplines:
- Nursing
Notes
- Abstract:
- Background: Caring plays an essential role in the delivery of patient-centered nursing care and overall patient satisfaction. The dogma of feminized caring is a factor in why men do not choose nursing as a career, which in turn, contributes to the nursing shortage and does not reflect the population being served in terms of gender. Understanding the factors that predict caring may help to recruit more men into the nursing profession, alleviate the nursing shortage, and result in more balanced, gender sensitive nursing care. Purpose: To examine the influence of personality, spirituality, and emotional intelligence on caring in men who are professional nurses. Theoretical Framework: Watson’s Theory of Human Caring. Methods: A non-experimental, cross-sectional, correlational, predictive research design was used to examine the relationships among the major study variables. In addition to a short demographic survey, the respondents completed four questionnaires: The Nyberg Caring Attribute Scale, Ten-Item Personality Inventory, Intrinsic Spirituality Scale, and Trait Emotional Intelligence Questionnaire—Short Form. Multiple linear regression analysis was used to determine if personality, spirituality, and emotional intelligence were predictors of caring in men who are professional nurses. A 2x2 factorial analysis of variance (ANOVA) was conducted to ascertain the effects of entry-level nursing education and years of experience as a nurse, on self-reported caring in men who are professional nurses. Results: Standard multiple regression analysis was conducted. The linear combination of the predictors (personality, spirituality, and emotional intelligence) revealed a statistically significant regression model, F (3, 189) = 29.52, p < .001. All three independent variables contributed significantly to the model. Spirituality was found to be the most significant predictor of caring, β = .290, p < .001, followed by emotional intelligence, β = .242, p = .001, and finally personality, β = 231, p =.002. The model predicted 31% of the variance (adj. R2 = 0.312) in caring can be accounted for by the linear combination of the predictors (personality, spirituality, and emotional intelligence). A 2x2 factorial AVOVA indicated there was no statistically significant interaction between years as a nurse and type of entry-level nursing education, F(1, 169) = .000, p = .996. Furthermore, there was no statistically significant main effect of number of years as a nurse on caring scores, F(1, 169) = .507, p = .477. However, there was a statistically significant main effect of type of entry-level nursing education on caring scores, F(1, 169) = 4.00, p = .047. Conclusions: The results of this study contribute to an understanding of the factors predicting caring in male nurses. This is an area that had not yet been explored in previous studies. Caring is central to nursing practice; however, it has a glaring feminist bias, with significant repercussions for the health of the nation. It contributes to the nursing shortage, propagates healthcare disparities, and adversely affects the quality of patient care. Nursing needs to recruit more men into the profession—men who are humanistic practitioners, as opposed to practicing technicians. The discipline of nursing needs not only a gender equitable workforce, but a caring one as well.
- Thesis:
- Thesis (Ph.D.)--Barry University, 2017.
- Bibliography:
- Includes bibliographical references (leaves 149-167).
Record Information
- Source Institution:
- Barry University
- Holding Location:
- Barry University Archives and Special Collections
- Rights Management:
- Copyright Debra L. Renna. Permission granted to Barry University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
- Resource Identifier:
- RT83.R46 2017_RennaDebraL ( BU-Local )
- Classification:
- RT83.R46 2017 ( lcc )
|
|
