Objectives: Job stress is one of the factors that increase the likelihood of turnover. Intent to leave work is one of the most accurate predictors of turnover. This cross-sectional study was created to evaluate the intent of nurses working at hospitals to continue working and to determine the relationship between job stress and intent to stay at work.
Methods: The subjects were 514 female hospital nurses aged 21-58 years old, who had worked full time at the study hospitals for at least 1 year. Data were collected using a self-administered questionnaire, which included sections on demographic characteristics, the Thai version of the Job Content Questionnaire (JCQ), and intent to stay at work. Multiple regression analysis was used to identify factors related to intent to stay at work.
Results: The prevalences of high job strain and low intent to stay at work were 17.5 and 22.4%, respectively. The mean (SD) scores of the nurses for psychological job demand, decision latitude, workplace social support, and intent to stay at work were 33.5 (4.4), 70.7 (6.9), 23.8 (2.8), and 14.6 (2.9), respectively. Multiple regression analysis indicated that intent to stay at work was significantly correlated with only supervisor support among the nurses with high-strain jobs and with coworker support in nurses with active jobs.
Conclusions: The findings suggest that different job types need different sources of social support in the workplace. Proactive steps by nurse managers to increase workplace social support might lead to an increase in intent to stay and reduce nursing turnover in hospitals and possibly other settings.
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http://dx.doi.org/10.1539/joh.12-0204-oa | DOI Listing |
J Am Geriatr Soc
January 2025
Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA.
Background: Deprescribing antihypertensives is of growing interest in geriatric medicine, yet the impact on functional status is unknown. We emulated a target trial of deprescribing antihypertensive medications compared with continued use on functional status measured by activities of daily living (ADL) in a long-term care population.
Methods: We included 12,238 Veteran Affairs long-term care residents age 65+ who had a stay ≥ 12 weeks between 2006 and 2019.
Anesthesiology
January 2025
Fluid Therapy and Hemodynamic Monitoring, Spanish Society of Anesthesia and Critical Care (SEDAR), Madrid, Spain.
Background: Postoperative acute kidney injury (AKI) after major abdominal surgery leads to poor outcomes. The Hypotension Prediction Index (HPI) may aid in managing intraoperative hemodynamic instability. This study assessed if HPI-guided therapy reduces moderate-to-severe AKI incidence in moderate-to-high-risk elective abdominal surgery patients.
View Article and Find Full Text PDFJ Community Health
December 2024
Department of Nutrition and Food Studies, Montclair State University, Montclair, NJ, USA.
The WIC program coverage rate of eligible population is suboptimal despite the well-known positive health outcomes of participation. Various factors contribute to this trend. This study aimed to examine beliefs regarding the decision to stay on WIC held by clients using the theory of planned behavior.
View Article and Find Full Text PDFHead Neck
December 2024
Department of Otolaryngology Head and Neck Surgery, Royal Adelaide Hospital, Adelaide, Australia.
Background: Residual, recurrent, and second primary head and neck cancers are on the rise. This is largely driven by a younger age at diagnosis and increasingly targeted chemoradiotherapy options. Salvage surgery remains the only curative intent option in this cohort of patients.
View Article and Find Full Text PDFBMC Health Serv Res
December 2024
Child Health and Diseases Department, Istanbul Education Research Hospital, Istanbul, Türkiye.
Background: This study investigates the relationship between healthcare professionals' intention to emigrate and their exposure to violence in Turkey, using a quantile regression model. Through this approach, it aims to reveal how healthcare professionals' attitudes toward brain drain vary across different levels of fear of violence, considering factors such as professional experience and income.
Methods: A cross-sectional study design was employed, utilizing a quantile regression model to analyze the variation in brain drain attitudes across different percentiles.
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