Poster

Category:
Occupational Health
Year:
2017
Title:
Factors Associated with Turnover in Long-term Care Workers
Presenter:
(School of Nursing (UMB) Clinical Nurse Leader Program Master's Student)
Authors:
Bhaskar, Khondaker (University of Maryland at Baltimore), Doran, Kelly (University of Maryland at Baltimore), Resnick, Barbara (University of Maryland at Baltimore), Bhaskar, Khondaker
Abstract:
Objective: Employee turnover in long-term care settings is a common and critical problem. Higher turnover has been associated with numerous negative outcomes including but not limited to increased cost to facilities, decreased quality of patient care, and negative patient outcomes. It affects all categories of employees, including nursing staff as well as support staff (housekeeping, dietary). Approach: Using data from a worksite health promotion study, we determined what personal (e.g., demographics), community (e.g., social support), and organizational factors (e.g., job satisfaction) at baseline were associated with turnover at 18-months. Data were collected from 98 long-term care staff members (e.g., nursing, dietary, activity) working in four long-term care facilities in the Baltimore metro area. We hypothesized personal, community, and organization factors, as suggested in the literature, would predict turnover at 18-months in our sample. Preliminary correlations were done to assess for associations with turnover. Forced logistic regression was used to assess for associations within our sample. Findings: Age (r=-0.185, p=0.03) and BMI (r=0.194, p=0.023) were correlated with 18-month turnover and our hypothesis was partially supported by our model: mood (Beta=1.757, p=0.080), , age (Beta=0.912, p=0.807) , social support (Beta=0.823, p=0.159) , tenure (Beta=0.946, p=0.722), job satisfaction (Beta=0.949 p=0.269), back pain (Beta=0.396, p=0.248), bmi (Beta=1.162, p=0.14). Conclusion: We identified BMI as an important predictor of turnover which corroborate the importance of our primary study targeting work site health promotion. Our study also found mood, which is a measure of stress, anxiety and depression to be partially associated with turnover, so further exploration in future studies is warranted. Stress, either from occupational or personal life events have been shown to significantly contribute to burnout and turnover in LTC facilities. Public health significance: Our study is the first to identify BMI and mood, both of which are predictors of health to be associated with turnover. So, it will be imperative to further investigate these findings by designing a larger study that focuses on total work health model targeting various job and organizational