Aims: To determine the factors contributing to managerial competence of first-line nurse managers.
Background: Understanding factors affecting managerial competence of nurse managers remains important to increase the performance of organizations; however, there is sparse research examining factors that influence managerial competence of first-line nurse managers.
Design: Systematic review.
Data Sources: The search strategy was conducted from April to July 2017 that included 6 electronic databases: Science Direct, PROQUEST Dissertations and Theses, MEDLINE, CINAHL, EMBASE, and Google Scholar for the years 2000 to 2017 with full text in English. Quantitative and qualitative research papers that examined relationships among managerial competence and antecedent factors were included.
Review Methods: Quality assessment, data extractions, and analysis were completed on all included studies. Content analysis was used to categorize factors into themes.
Results: Eighteen influencing factors were examined and categorized into 3 themes-organizational factors, characteristics and personality traits of individual managers, and role factors.
Conclusion: Findings suggest that managerial competence of first-line nurse managers is multifactorial. Further research is needed to develop strategies to develop managerial competence of first-line nurse managers.
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http://dx.doi.org/10.1111/ijn.12611 | DOI Listing |
PLoS One
January 2025
School of Mathematics & Statistic, Changchun University of Technology, Changchun, China.
Against the backdrop of an aging population, community pension initiatives are gaining traction, permeating societal landscapes. This study delves into the equilibrium strategy within the context of a defined benefit pension plan, employing a differential game framework with a community pension model. Hence, the model entails the company's controls over investment rates in funds, juxtaposed with employees' inclination towards a greater proportion of community pension allocation in said funds.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Faculty of Health Sciences, Department of Rehabilitation Science and Health Technology, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Background: As the population ages, more people live longer with multimorbidity. Older people with multimorbidity face diverse needs and medical conditions, increasing the risk of adverse health outcomes, and often experience fragmented healthcare. Research has called for better ways to reach, understand and care for this group to enhance care continuity.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran.
Predicting incident duration and understanding incident types are essential in traffic management for resource optimization and disruption minimization. Precise predictions enable the efficient deployment of response teams and strategic traffic rerouting, leading to reduced congestion and enhanced safety. Furthermore, an in-depth understanding of incident types helps in implementing preventive measures and formulating strategies to alleviate their influence on road networks.
View Article and Find Full Text PDFSci Total Environ
December 2024
Department of Mathematics and Statistics, Mississippi State University, Mississippi State, MS, USA. Electronic address:
Evaluating the performance of service organizations like Water and Sewerage companies is essential for optimal operations, high-quality service, and cost efficiency. This paper introduces a model using data envelopment analysis (DEA) to assess the efficiency of operational units within such companies. The selection of key performance indicators is complicated by the numerous inputs and outputs, each affecting systems and activities differently.
View Article and Find Full Text PDFJ Healthc Leadersh
December 2024
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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