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Aim: To evaluate role function and job satisfaction, determine their relationship, and explore the factors influencing job satisfaction among community nurses in China.
Design: Cross-sectional study.
Methods: This study was conducted between March and June 2020 on a cluster random sampling of 302 community nurses from 24 community health centres and stations in Xi'an, China. Self-reported data were collected using the Demographics Questionnaire, Role Function of Community Nurses Questionnaire, and Job Satisfaction of Community Nurses Scale. Descriptive statistics, Pearson's correlation analysis, and multiple linear regression analyses were performed to analyse data.
Results: Community nurses' main role function was organiser and manager (M = 2.56, SD = 0.987) and coordinator (M = 2.43, SD = 0.971). The lowest job satisfaction was for salary and benefits (M = 3.12, SD = 0.891) and personal development (M = 3.65, SD = 0.738). A positive correlation was found between the roles of caregiver, educator, navigator, and salary and benefits (p < 0.05) among community nurses. Multiple linear regression analyses indicated that monthly income and working experience in nursing explained 61.1% of the variance in job satisfaction.
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http://dx.doi.org/10.1002/nop2.2109 | DOI Listing |
Nurs Open
September 2025
Doctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.
Aims: To find out how Kenyan nurses rate their organisational culture, determine their level of job satisfaction, and organisational culture predictors of job satisfaction.
Design: A cross-sectional online survey.
Methodology: A total of 300 nurses across Kenya were invited to participate in this study.
J Safety Res
September 2025
Department of Human Resource Management & Employment Relations, King's Business School, King's College London, London WC2B 4BG, United Kingdom; Department of Medical Research, China Medical University Hospital, China Medical University, Taiwan 404 Taichung Taiwan.
Introduction: This study aims to develop and validate a job crafting scale designed specifically for occupational health and safety (OHS) professionals working in a crisis environment. Job crafting, defined as the proactive adjustment of job roles to better align with individual preferences and strengths, is recognized as a valuable strategy for enhancing job satisfaction, engagement, and performance in various occupational settings. However, existing job crafting scales primarily focus on general work contexts and cannot fully capture the unique dimensions of job crafting relevant to OHS professionals in a crisis response context.
View Article and Find Full Text PDFPol Merkur Lekarski
September 2025
UZHHOROD NATIONAL UNIVERSITY, UZHHOROD, UKRAINE.
Objective: Aim: To provide a scientific rationale for various approaches to the practical application of individual motivation theories in order to develop a motivated medical workforce as the foundation for strengthening healthcare systems.
Patients And Methods: Materials and Methods: Based on comparative analysis, as well as systematic and analytical approaches to understanding selected motivation theories - namely Maslow's Hierarchy of Needs, Herzberg's Two-Factor Theory, Adams's Equity Theory, Vroom's Expectancy Theory, and Deci and Ryan's Self-Determination Theory - the authors propose integrating these theories into managerial strategies.
Conclusion: Conclusions: A well-functioning healthcare workforce system requires not only a sufficient number of professionals but also effective motivation strategies based on various theories, such as those by Maslow, Herzberg, and Vroom, to enhance job satisfaction and retention.
Ann Surg
September 2025
Department of Surgery, Wake Forest University School of Medicine, Winston-Salem, NC.
Objective: The objective of this study was to systematically explore how culture has been conceptualized, investigated, and measured within general surgery residency training programs.
Summary Background Data: Research on the culture of general surgery residency training programs has primarily focused on examining individual parameters, such as mistreatment and burnout, rather than comprehensively analyzing the overall culture, climate, or learning environment.
Methods: Five databases (PubMed, Embase, Cochrane, CINAHL, APA PsycInfo) were searched.
BMJ Public Health
September 2025
Affiliated to Wenzhou Medical University, Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Linhai, China.
Objective: The aim of this study is to analyse the factors affecting medical burnout in hospitals, identify the characteristics of staff experiencing high levels of burnout and devise a practical and sustainable prediction mechanism.
Methods: A survey was conducted to access the current situation, followed by a regression analysis using data from the Maslach Burnout Inventory General Survey, demographic information related to healthcare personnel and employee job satisfaction metrics from the hospitals under study. Subsequently, four predictive models-logistic regression, K-nearest neighbour, decision tree and random forest (RF)-were employed to predict the degree of healthcare burnout.