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Authors' response to "Comment on Fajarini et al. (2024) 'Effects of advanced practice nurses on health-care costs, quality of care, and patient well-being in health-care settings: A meta-analysis of randomized controlled trials'".

Int J Nurs Stud

March 2025

School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Nursing, Taipei Medical University-Shuang Ho Hospital, New Taipei, Taiwan; Research Center in Nursing Clinical Practice, Wan Fang Hospital Taipei Medical University, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan; Research Center for Neuroscience, Taipei Medical University, Taipei, Taiwan. Electronic address:

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Patients with diabetes-related foot ulcers may require hospitalization and face an increased risk of amputation, which can significantly impact their quality of life. One potential solution is exercise, which can regulate blood glucose levels, improve wound healing, and enhance overall well-being. This randomized controlled trial aimed to evaluate the impact of a lower limb resistance training program combined with breathing-regulation techniques on glycemic control, wound healing, and quality of life in patients with diabetes-related foot ulcers.

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Does confidence mirror competence? Outcomes following Stop the Bleed® training among lay community members.

Appl Nurs Res

April 2025

Department of Acute, Chronic & Continuing Care, Office of Interprofessional Curriculum, Center for Interprofessional Education and Simulation, School of Nursing, University of Alabama at Birmingham, Birmingham, AL, United States of America. Electronic address:

Aim: To evaluate and compare pre- and post-STB training outcomes of bleeding control knowledge, willingness to act and confidence in doing so.

Background: Stop the Bleed® (STB) training improves trainees' willingness to intervene in pre-hospital bleeding emergencies and confidence in doing so, but few studies report associated knowledge-based outcomes.

Methods: A cross-sectional, observational study was performed using a pre-/post-test approach.

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Longitudinal analysis of adolescents at high risk of depression: Prediction models.

Appl Nurs Res

April 2025

College of Nursing, Yonsei University, Seoul, South Korea; Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, South Korea. Electronic address:

Background: This study aimed to develop a machine-learning-based predictive model to identify adolescents at high risk of depression using longitudinal analysis to determine changes in risk factors over time.

Methods: This longitudinal study used 4 years of data from the Korea Child and Youth Panel Survey (2018-2021). The classification of high-risk depression was the outcome variable, with predictors categorized into general characteristics and personal, family, and school factors.

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