ArticleBMC nursing2024
Effective prevention of early resignation of newly graduated nurses: a transactional analysis.
Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Mediating effect analysis of professional identity between emotional intelligence and work readiness of newly graduated nursing students.Research square · 2025Article
- Validity and Reliability Study of the Turkish Version of the Transactional Analysis Scale: A Sample of Nurse Managers.Journal of nursing management · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundNew employees often exhibit stress reactions to changes in their environment and some of these may result in resignations. Employees in medical institutions are no exceptions. Considering the shortage of nurses in Japan, countermeasures are needed against the resignation of newly graduated nurses. Many studies have indicated that multifaced factors affect the resignation of newly graduated nurses. Even though individual characteristics are important factors in this regard, training and support for newly graduated nurses do not focus on the nurses' characteristics. The purpose of this study is to examine the characteristics influencing the early resignation of newly graduated nurses and suggest ways to support them and prevent their early resignation based on their characteristics.
methodsWith the approval of the Ethics Committee, various characteristics of 353 newly graduated nurses (personality, interpersonal relationships, trait anxiety, nurse orientation, desire to be a nurse, and self-proclaimed academic ability) were assessed using a transactional analysis, the State-Trait Anxiety Inventory, and self-reporting numerical rating scales. The characteristics of those who resigned within 1 year (case group) and those who did not (control group) were compared using chi-square test and logistic regression analysis.
resultsOur sample of 353 participants included 32 nurses from the case group and 304 nurses from the control group. Most participants showed similar personality traits. However, the control group had a significantly lower percentage with negative self, strong trait anxiety, negative self and strong trait anxiety, and low orientation compared to the case group. Our logistic regression analysis showed that strong trait anxiety and low nurse orientation are significantly related with the early resignation of nurses.
conclusionsThe early resignation of newly graduated nurses may be prevented by understanding their characteristics at the time of gaining employment and implementing early intervention programs, such as education programs to reduce anxiety, and helping those with strong trait anxiety and low nurse orientation to find meaning in work.
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