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Facilitators and Barriers of Health Behaviors in Patients With Type 2 Diabetes: A Qualitative Study.
Sci Diabetes Self Manag Care
January 2025
School of Nursing, Capital Medical University, Beijing, China.
Purpose: The purpose of the study was to explore the facilitators and barriers of health behaviors in patients with type 2 diabetes (T2D), providing a reference for the development of health behavior interventions programs.
Methods: A qualitative descriptive research design was adopted, and interviews were conducted with 25 patients with T2D. The interview guide was developed based on the health action process approach theory.
Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine Learning.
Diagnostics (Basel)
December 2024
Department of Neurosurgery, ChiaLi Chi Mei Medical Hospital, Tainan 722, Taiwan.
Background: Traumatic brain injury (TBI) research often focuses on mortality rates or functional recovery, yet the critical need for long-term care among patients dependent on institutional or Respiratory Care Ward (RCW) support remains underexplored. This study aims to address this gap by employing machine learning techniques to develop and validate predictive models that analyze the prognosis of this patient population.
Method: Retrospective data from electronic medical records at Chi Mei Medical Center, encompassing 2020 TBI patients admitted to the ICU between January 2016 and December 2021, were collected.
The evolving role of nursing informatics in the era of artificial intelligence.
Int Nurs Rev
March 2025
Nursing Researcher & Lecturer, Edith Cowan University, Western Australia, Australia.
Aim: This narrative review explores the integration of artificial intelligence (AI) into nursing informatics and examines its impact on nursing practice, healthcare delivery, education, and policy.
Background: Nursing informatics, which merges nursing science with information management and communication technologies, is crucial in modern healthcare. The emergence of AI presents opportunities to improve diagnostics, treatment, and healthcare resource management.
Comparison of diaphragmatic breathing exercises and incentive spirometry on the functional status of heart failure patients: a randomized controlled trial.
BMC Cardiovasc Disord
January 2025
Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Respiratory muscle weakness in heart failure (HF) can deteriorate its symptoms such as fatigue, dyspnea, and impaired functional status. Pulmonary rehabilitation can strengthen these muscles. This study aimed to determine the impact of breathing exercises on fatigue severity, dyspnea, and functional classification in HF patients.
View Article and Find Full Text PDF[Treatment quality with and without an electronic cognitive aid for emergencies in anaesthesia (eGENA) : The DANGER pilot study part 2 in randomized controlled in-situ emergency simulations].
Anaesthesiologie
January 2025
Abteilung für Anästhesie und operative Intensivmedizin, Krankenhaus Vilshofen, Vilshofen, Deutschland.
Background: The electronic cognitive aid for emergencies in anesthesia (eGENA) is an app that offers digital support in anesthesiological emergency situations as a cognitive aid tool via checklists for memory and making decisions. The eGENA was published by the German Society of Anesthesiology and has been implemented in the emergency management of the anesthesiological team of the clinic in Potsdam, Germany.
Objective: The primary endpoint was to observe the influence of eGENA on the anesthesiological emergency management on the subjective feeling of assurance as well as on quality of treatment and, therefore, patient safety.
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