Lebanon is perceived to be suffering from excessive nurse migration, low job satisfaction, poor retention and high turnover. Little is known about the magnitude of nurse migration and predictors of intent to leave. The objective of this study is to determine the extent of nurses' intent to leave and examine the impact of job satisfaction on intent to leave. Intent to leave was explored to differentiate between nurses who intend to leave their current hospital and those intending to leave the country.

Background: Nursing shortages and maldistribution are priority issues for healthcare systems around the globe. Such imbalances are often aggravated in underserved areas, especially in developing countries. Despite the centrality of this issue, there is a dearth of studies that examine the retention of nurses in underserved areas in the Middle East Region. This study investigates the characteristic and the factors associated with the retention of nurses working in rural areas in Lebanon. Methods: This study uses a non-experimental cross-sectional design to survey nurses working in underserved areas of Lebanon. Underserved areas in Lebanon were identified using WHO definition. A total of 103 health facilities (hospitals and primary healthcare centers) located in these areas were identified and all nurses working at these facilities received a copy of the survey questionnaire. The questionnaire included five sections: demographic, work-life, career plan, job satisfaction, and assessment of work environment. Analysis included univariate and bivariate (chi-square, Student’s t-test and ANOVA) tests to describe the respondents and examine the significance between nurses’ characteristics and their intent to stay. A logistic regression model was constructed to identify factors associated with nurses’ intent to stay in underserved areas. Results: A total of 857 nurses from 63 Primary Healthcare (PHC) centers and hospitals responded to the questionnaire (75.5% response rate). Only 35.1% of nurses indicated their intent to stay in their current job over the coming one to three years. Surveyed nurses were most satisfied with relationship with co-workers and least satisfied with extrinsic rewards. Rural nurses working in PHC centers were more satisfied than their hospital counterparts on all aspects of work and had significantly higher intention to stay (62.5% compared to 31.5% in hospitals, P < 0.001). Regression analysis revealed that nurses less likely to report intent to stay were younger, unmarried, with less years of work experience and were not working towards a higher degree. Analysis reveals a directly proportional relationship between nurses’ reported job satisfaction and their intent to stay. Conclusion: This study reveals poor retention of nurses in rural and underserved areas in Lebanon, especially in the hospital sector. The status quo is disquieting as it reflects an unstable and dissatisfied nursing workforce. Developing targeted retention strategies for younger nurses and those working in hospitals as well as the offering of professional development opportunities and devising an incentive scheme targeting rural nurses is pivotal to enhance nurses’ job satisfaction and retention in rural settings.

Background: High resilience increases nurses' ability to cope with job-related stressors and enhances job satisfaction and, consequently, their retention. The study aims to identify resilience predictors and perceptions of transformational leadership in a convenience sample of registered nurses in Lebanon. Methods: An anonymous cross-sectional survey of a convenience sample of 240 registered nurses working for more than a year at three private hospitals in an underserved area in South Lebanon was used. The survey instrument included demographic questions, the True Resilience Scale ©, and the Global Transformational Leadership Scale. Multiple linear regression was used to assess the predictors of resilience after a descriptive analysis of the study variables. Results: The survey response rate was 85%. The nurses' mean resilience score was 119.4 (SD 15.3), and their perception of transformational leadership score was M = 25.0, SD = 6.8. Compared to bedside nurses, nurse managers, nurses with more than five years of experience, and nurses in critical nursing units had statistically significant higher resilience scores (p < 0.05). Resilience scores and perception of global transformational leadership were moderately correlated (r = 0.53, p < 0.05). In the final multiple linear regression model, 30% of the variation in resilience scores was explained by designation (p < 0.05) and perception of Global Transformational Leadership (p < 0.01). Perception of global transformational leadership scores explained 29% of the variance in resilience scores. Designation and perception of global transformational leadership predicted resilience in this sample. Conclusions: A national survey of the Lebanese nursing workforce is needed to achieve an improved predictive model and support policy developments to increase resilience among bedside nurses and retain them in the nursing workforce. Nurse administrators can help by strengthening their transformational leadership behaviors. Consistent use of transformational leadership styles will strengthen bedside nurses' resilience, increase nurse retention, and help sustain the Lebanese nursing workforce.

To explore nurses' sickness absenteeism from the perspective of nurse managers. Sickness absenteeism among health-care providers, especially nurses, remains a significant problem in an era of challenges to provide high quality care with the required skill mix. This in turn compromises the quality of care and adds to the costs of an organisation. A qualitative descriptive design was used. Data were collected from a governmental academic hospital in Lebanon. In-depth tape-recorded interviews were conducted with a total of 20 nurse managers. Data were analysed through a content analysis approach. Data analysis yielded three domains as follows: work-related, individual and organisational factors that lead to nurses' sickness absenteeism. This study conceptualised nurses' absenteeism from the nurse managers' perspective, and it revealed absence antecedents that are rarely reported elsewhere in the literature. The findings from this study can be utilised to design reform initiatives concerned with nurses' absenteeism and to decrease its negative consequences in terms of quality and cost.