The use of mobile devices by healthcare professionals has led to rapid growth in the development of mobile healthcare applications designed to improve healthcare services. This study was conducted to assess the acceptability and usability of a mobile application for health professionals in relation to their work in hospitalization at home. A mixed methods approach was used. Acceptance, included the satisfaction of the professionals, attitudes toward using the application, and intention or willingness to continue using the application. Usability tests were performed in laboratory analyzing five controlled clinical tasks, and the interaction of the participants with the mobile application was based on the six basic facial expressions published by the American Psychological Association. Perceived satisfaction was assessed using the computer system usability questionnaire. Thirty-two participants completed the task scenarios and questionnaire. More than 90 per cent of participants were able to complete the tasks with only some difficult with vital signs. Satisfaction had a score of 6.18/7 (SD: 0.76), and recommendation of the mobile application had a score of 6.21/7 (SD: 0.81). This study showed a significant usability and acceptability of this mobile application, in terms of effectiveness, efficiency, and satisfaction.
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http://dx.doi.org/10.1038/s41598-023-29640-7 | DOI Listing |
Digit Health
January 2025
Red Cross College of Nursing, Chung-Ang University, Seoul, South Korea.
Background: There is a significant need for an effective and convenient symptom management and healing program for people experiencing post-traumatic stress disorder (PTSD) symptoms; however, research on this topic is lacking.
Objective: This study explored the experiences of individuals with PTSD who used a mobile traumatic stress management app with neurofeedback-based meditation and binaural beat music to promote their psychological recovery.
Methods: This study used a qualitative research method to explore the experiences of neurofeedback-based meditation and binaural beat music using a mobile traumatic stress management app to promote the psychological recovery of people experiencing chronic traumatic stress.
Resusc Plus
January 2025
Department of Anaesthesiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
Aim And Background: There are various theories regarding the ideal hand to be in contact with chest during chest compressions when healthcare professionals and medical students perform cardiopulmonary resuscitation (CPR). Our study aimed to compare the impact of preferred versus non-preferred hand placement on chest on the CPR quality.
Methodology: The volunteers were randomised to place their preferred (P)/non-preferred (NP) hand over sternum for the first session and switch hands for the second.
Front Med (Lausanne)
January 2025
School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Background: With the rising global burden of chronic diseases, traditional health management models are encountering significant challenges. The integration of artificial intelligence (AI) into chronic disease management has enhanced patient care efficiency, optimized treatment strategies, and reduced healthcare costs, providing innovative solutions in this field. However, current research remains fragmented and lacks systematic, comprehensive analysis.
View Article and Find Full Text PDFFront Child Adolesc Psychiatry
March 2024
Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, United Kingdom.
Background: Current observational methods to understand adolescent-parent interaction are limited in terms of ecological and content validity. We outline initial results and a protocol for future work from a programme of work to: (1) establish a new method for data capture of adolescent-parent interaction at home using wearable cameras and; (2) develop a new relevant and comprehensive observational micro-coding scheme. In Part 1, we report our completed preliminary work, comprised of an initial scoping review, and public engagement work.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Background: Cervical cancer remains a critical global health issue, responsible for over 600,000 new cases and 300,000 deaths annually. Pathological imaging of cervical cancer is a crucial diagnostic tool. However, distinguishing specific areas of cellular differentiation remains challenging because of the lack of clear boundaries between cells at various stages of differentiation.
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