Objective: to validate with experts the content of a mobile application to guide patients with neurological dysfunction of the lower urinary tract.
Method: methodological study. For content validation, 81 specialist nurses took part. The data collection instrument was designed in the form of an electronic form, and included assessments of the application's objectives, content, language, relevance, functionality and usability. The data was submitted to descriptive and inferential statistical analysis, based on the measurement of the Content Validity Index.
Results: the overall content validity index of the prototype application was 0.98. The lowest item (0.93) was related to the adequacy of the font size, and the highest module (1) was associated with usability, showing ease in handling the application. The experts recommended correcting spelling and grammar, as well as adding and minimizing information, standardizing language, among others.
Conclusion: the content of the MeduLar sem Medo ® mobile app was validated with excellence by specialists, and presented important resources for teaching urinary dysfunction control and adherence to rehabilitation. With these results, it is possible to envision the next stages of validation, with application in the populations for which it is intended and incorporation of this care technology into the Unified Health System.
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http://dx.doi.org/10.1590/1518-8345.7145.4323 | 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.
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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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