Predictors of Home Healthcare Nurse Retention
College Of Nursing and Health Sciences, Graduate School of Policy Studies, University of Massachusetts Boston, Boston, MA 02125-3393, USA. Journal of Nursing Scholarship
(Impact Factor: 1.64).
02/2008; 40(2):151-60. DOI: 10.1111/j.1547-5069.2008.00220.x
To examine the level of job satisfaction and test a theoretical model of the direct and indirect effects of job satisfaction, and individual nurse and agency characteristics, on intent to stay and retention for home healthcare nurses.
A descriptive correlation study of home healthcare nurses in six New England states.
Home healthcare nurse job satisfaction self-report data was collected with the HHNJS survey questionnaire & Retention Survey Questionnaire.
Based on a structural equation model, job tenure and job satisfaction were the strongest predictors of nurse retention.
Understanding the variables associated with home healthcare nurse retention can help agencies retain nurses in a time of severe nurse shortages and increased patient demand.
Predicted nursing shortages and increasing demand have made the retention of experienced, qualified nursing staff essential to assure access to high-quality home healthcare services in the future.
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Available from: Anke J E de Veer
- "the number of studies on nurse retention in home care is limited (Ellenbecker et al., 2008), this research enhances our understanding of important work characteristics that help keep nursing staff in their profession. Finally, the current findings provide further insight into the consequences of nursing staff´s work engagement and thereby support the idea that work engagement is an important concept in nursing. "
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ABSTRACT: The need for home care is rising in many Western European countries, due to the ageing population and governmental policies to substitute institutional care with home care. At the same time, a general shortage of qualified home-care staff exists or is expected in many countries. It is important to retain existing nursing staff in the healthcare sector to ensure a stable home-care workforce for the future. However, to date there has been little research about the job factors in home care that affect whether staff are considering leaving the healthcare sector.
The main purpose of the study was to examine how home-care nursing staff's self-perceived autonomy relates to whether they have considered leaving the healthcare sector and to assess the possible mediating effect of work engagement.
The questionnaire-based, cross-sectional study involved 262 registered nurses and certified nursing assistants employed in Dutch home-care organisations (mean age of 51; 97% female). The respondents were members of the Dutch Nursing Staff Panel, a nationwide group of nursing staff members in various healthcare settings (67% response rate).
The questionnaire included validated scales concerning self-perceived autonomy and work engagement and a measure for considering pursuing an occupation outside the healthcare sector. Logistic regression and mediation analyses were conducted to test associations between self-perceived autonomy, work engagement and considering leaving the healthcare sector.
Nursing staff members in home care who perceive more autonomy are more engaged in their work and less likely to have considered leaving the healthcare sector. The positive association between self-perceived autonomy and considering leaving, found among nursing staff members regardless of their level of education, is mediated by work engagement.
In developing strategies for retaining nursing staff in home care, employers and policy makers should target their efforts at enhancing nursing staff's autonomy, thereby improving their work engagement.
Copyright © 2015. Published by Elsevier Ltd.
International journal of nursing studies 07/2015; DOI:10.1016/j.ijnurstu.2015.07.006 · 2.90 Impact Factor
Available from: Margaret E Saari
- "Age has been identified in previous research (Ellenbecker et al., 2008; Tourangeau and Cranley, 2006) as influencing nurse Table 4 Descriptive statistics for model variables Adjusted R 2 = .252: overall F-statistic for model = 9.406: P < .0001. "
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ABSTRACT: Given the role nurse faculty have in educating nurses, little is known about what influences their intention to remain employed (ITR) in academic settings.
Findings from a nurse faculty survey administered to test a conceptual model of factors hypothesized as influencing nurse faculty ITR are reported.
A cross-sectional survey design was employed.
We included colleges and universities in Ontario, Canada.
The population of Ontario nurse faculty who reported being employed as nurse faculty with the College of Nurses of Ontario (Canada) was included. Of the 1328 nurse faculty who were surveyed, 650 participated.
Participants completed a questionnaire with measures of work, work environment, job satisfaction, burnout and ITR. Regression analyses were conducted to test the model.
Ten of 26 independent variables explained 25.4% of variance in nurse faculty ITR for five years. These variables included: proximity to retirement, quality of relationships with colleagues, being employed full time, having dependents, satisfaction with work-life balance, quality of education, satisfaction with job status, access to financial support for education from organization, access to required human resources and being unionized.
Although not all influencing factors are modifiable, academic leadership should develop strategies that encourage nurse faculty ITR. Strategies that support collegial relationships among faculty, increase the number of full time positions, promote work-life balance, engage faculty in assessing and strengthening education quality, support faculty choice between full-time and part-time work, and ensure adequate human resources required to teach effectively will lead to heightened nurse faculty ITR.
Nurse education today 10/2013; 34(6). DOI:10.1016/j.nedt.2013.10.010 · 1.36 Impact Factor
Available from: Brigita Skela Savič
- "Even though research has shown different levels of job satisfaction for nurses, satisfaction predictors tend to be relatively similar, and include working conditions, relationships with coworkers and leaders, pay, promotion, security of employment, responsibility, and working hours (2,6-16). In Slovenia, no studies on the effects of leadership style, personality characteristics, and managerial competencies of leaders on job satisfaction have been conducted. "
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ABSTRACT: To determine the level of job satisfaction of nursing professionals in Slovenian hospitals and factors influencing job satisfaction in nursing.
The study included 4 hospitals selected from the hospital list comprising 26 hospitals in Slovenia. The employees of these hospitals represent 29.8% and 509 employees included in the study represent 6% of all employees in nursing in Slovenian hospitals. One structured survey questionnaire was administered to the leaders and the other to employees, both consisting 154 items evaluated on a 5 point Likert-type scale. We examined the correlation between independent variables (age, number of years of employment, behavior of leaders, personal characteristics of leaders, and managerial competencies of leaders) and the dependent variable (job satisfaction - satisfaction with the work, coworkers, management, pay, etc) by applying correlation analysis and multivariate regression analysis. In addition, factor analysis was used to establish characteristic components of the variables measured.
We found a medium level of job satisfaction in both leaders (3.49±0.5) and employees (3.19±0.6), however, there was a significant difference between their estimates (t=3.237; P=lt;0.001). Job satisfaction was explained by age (Plt;0.05; β=0.091), years of employment (Plt;0.05; β=0.193), personal characteristics of leaders (Plt;0.001; β=0.158), and managerial competencies of leaders (Plt;0.000; β=0.634) in 46% of cases. The factor analysis yielded four factors explaining 64% of the total job satisfaction variance.
Satisfied employees play a crucial role in an organization's success, so health care organizations must be aware of the importance of employees' job satisfaction. It is recommended to monitor employees' job satisfaction levels on an annual basis.
Croatian Medical Journal 06/2012; 53(3):263-70. DOI:10.3325/cmj.2012.53.263 · 1.31 Impact Factor
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