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Objective: This study aims to assess the performance of machine learning (ML) techniques in optimising nurse staffing and evaluating the appropriateness of nursing care delivery models in hospital wards. The primary outcome measures include the adequacy of nurse staffing and the appropriateness of the nursing care delivery system.

Background: Historical and current healthcare challenges, such as nurse shortages and increasing patient acuity, necessitate innovative approaches to nursing care delivery.

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Aim: This research aimed to explore nursing students' experiences and perspectives on discrimination within nursing programs across classroom and clinical contexts, as well as structural discrimination through institutional policies and processes.

Design: Convergent mixed methods.

Methods: Survey and individual interviews to capture students' experiences and perspectives on discrimination within nursing programs.

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There is emerging evidence that sea swimming can have a positive impact on the mental health of adults. Less is known about how this intervention can impact young people's mental health. The aim of this study was to explore young service users and staff's perspectives on sea swimming in the child and adolescent mental health services.

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