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The effect of two different surgical positions on pulmonary functions ın laparoscopic sleeve gastrectomies: reverse Trendelenburg vs beach chair.
Surg Endosc
January 2025
Department of Anesthesiology and Reanimation, Faculty of Medicine, Istınye University Medicalpark Gaziosmanpasa Hospital, Istanbul, Turkey.
Background: The aim of our study is to compare the effect of the 30° reverse Trendelenburg position combined with the beach chair position on respiratory parameters in laparoscopic sleeve gastrectomy (LSG) with the 30° reverse Trendelenburg position alone.
Material And Method: Fifty patients with body mass index > 30 were included in the study. The patients were divided into two groups; in the control group, the standard 30° reverse Trendelenburg.
Application of Family Stress Theory: Predicting Wellbeing by Demands, Resources and Perceptions Among Caregivers of Older Adults.
Fam Process
March 2025
Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, Hong Kong.
Family caregivers of older adults are at risk of high care burden and reduced quality of life. Existing research and practices had primarily focused on the caregiving dyad. However, it is often observed that multiple family members are involved in caregiving for older adults.
View Article and Find Full Text PDFSatisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial.
J Med Internet Res
January 2025
Department of Urology, Soonchunhyang University Seoul Hospital, Soonchunhyang University Medical College, Seoul, Republic of Korea.
Background: Ureteral stents, such as double-J stents, have become indispensable in urologic procedures but are associated with complications like hematuria and pain. While the advancement of artificial intelligence (AI) technology has led to its increasing application in the health sector, AI has not been used to provide information on potential complications and to facilitate subsequent measures in the event of such complications.
Objective: This study aimed to assess the effectiveness of an AI-based prediction tool in providing patients with information about potential complications from ureteroscopy and ureteric stent placement and indicating the need for early additional therapy.
Real-World-Evidence of Digital Health Applications (DiGAs) in Rheumatology: Insights from the DiGAReal Registry.
Rheumatol Ther
January 2025
Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Introduction: Prescribable digital health applications (DiGAs) present scalable solutions to improve patient self-management in rheumatology, however real-world evidence is scarce. Therefore, we aimed to assess the effectiveness, usage, and usability of DiGAs prescribed by rheumatologists, as well as patient satisfaction.
Methods: The DiGAReal registry includes adult patients with rheumatic conditions who received a DiGA prescription.
Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards.
J Eval Clin Pract
February 2025
Department of Nursing, Trakya University Faculty of Health Sciences, Edirne, Turkey.
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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