Aim: To summarize existing research syntheses reporting newly graduated registered nurses' experiences of providing direct care in hospital settings.
Design: Umbrella review.
Data Sources: An extensive search of all relevant databases was conducted for research syntheses. Initial key terms included "new* nurse", "nursing care" and "hospital setting" in combination with index terms to find relevant literature.
Methods: Critical appraisal, data extraction and summary were performed independently by two reviewers according to the Joanna Briggs Institute guidelines for undertaking umbrella reviews.
Results: Nine research syntheses published between 2010 and 2019 and representing 173 studies were included following critical appraisal. The evidence was summarized in narrative form with supporting tables. Twenty-six sub-branches and seven main-branches were organized in a coding tree showing the structure of three overlapping themes: "Feeling a lack of competency", "Sense of emotional distress" and "In need of support".
Conclusions: Evidence demonstrates that newly graduated registered nurses' experiences of a lack of competency, emotional distress and need for support emerged as essential requirements for the provision of competent and safe direct care for the patient.
Impact: Newly graduated registered nurses face multiple challenges in the transition from student nurse to practicing nurse. Unmet expectations of being a newly graduated nurse might lead to low levels of job satisfaction, high attrition rates or missed nursing care. Nurse educators, leaders and policy makers should be mindful that newly graduated registered nurses' perceptions of professional and personal identity and degree of support influences newly graduated registered nurses' direct care provision.
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http://dx.doi.org/10.1111/jan.15434 | DOI Listing |
BMC Nurs
January 2025
School of Nursing, Faculty of Health Sciences, University of Ottawa, 200 Lees Avenue, Ottawa, ON, K1N 6N5, Canada.
Oral Radiol
January 2025
Department of Software Engineering, Faculty of Engineering, Muğla Sıtkı Koçman University, Muğla, 4800, Turkey.
Objectives: Pulp stones are ectopic calcifications located in pulp tissue. The aim of this study is to introduce a novel method for detecting pulp stones on panoramic radiography images using a deep learning-based two-stage pipeline architecture.
Materials And Methods: The first stage involved tooth localization with the YOLOv8 model, followed by pulp stone classification using ResNeXt.
Adv Sci (Weinh)
January 2025
Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
Protein phosphorylation plays a crucial role in regulating a wide range of biological processes, and its dysregulation is strongly linked to various diseases. While many phosphorylation sites have been identified so far, their functionality and regulatory effects are largely unknown. Here, a deep learning model MMFuncPhos, based on a multi-modal deep learning framework, is developed to predict functional phosphorylation sites.
View Article and Find Full Text PDFTissue Eng Part A
January 2025
Department of Plastic and Reconstructive Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Adipose tissue engineering requires effective strategies for regenerating adipose tissue, with adipose-derived stem cells (ASCs) being favored due to their robust self-renewal capacity and multipotent differentiation potential. In this study, the efficacy of poly-L-lactic acid (PLLA) mesh containing collagen sponge (CS), seeded with ASCs to promote adipose tissue formation, was investigated. PLLA-CS implants seeded with GFP-positive ASCs were inserted at high concentration (1 × 10 cells/implant, H-ASC) and low concentration (1 × 10 cells/implant, L-ASC), as were unseeded controls.
View Article and Find Full Text PDFJ Spinal Cord Med
January 2025
Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA.
Context: Clinical Practice Guidelines from the Consortium for Spinal Cord Injury (SCI) Medicine recommend daily self-screening of at-risk skin surfaces, but many Veterans with SCI describe challenges using the standard issue long-handled self-inspection mirror (LSIM).
Objective: The objective of this project was to compare the LSIM to a recently developed camera-based self-inspection system (CSIS). User feedback guided iterative engineering to improve and develop the new technology in preparation for transfer to industry.
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