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A qualitative analysis of healthcare professionals' experiences with an internet-based emotion regulation intervention added to acute psychiatric inpatient care.
BMC Psychiatry
December 2024
Department of Clinical Psychology and Psychotherapy, Institute of Psychology, University of Bern, Fabrikstrasse 8, Bern, 3012, Switzerland.
Background: Healthcare professionals play an important role in successfully implementing digital interventions in routine mental healthcare settings. While a larger body of research has focused on the experiences of mental healthcare professionals with the combination of digital interventions and face-to-face outpatient treatment, comparatively little is known about their experiences with digital interventions combined with inpatient treatment. This is especially true for acute psychiatric inpatient care, where studies on the implementation of digital interventions are more rare.
View Article and Find Full Text PDFEffects of Large Language Model-Based Offerings on the Well-Being of Students: Qualitative Study.
JMIR Form Res
December 2024
Imperial College Business School, Imperial College London, London, United Kingdom.
Background: In recent years, the adoption of large language model (LLM) applications, such as ChatGPT, has seen a significant surge, particularly among students. These artificial intelligence-driven tools offer unprecedented access to information and conversational assistance, which is reshaping the way students engage with academic content and manage the learning process. Despite the growing prevalence of LLMs and reliance on these technologies, there remains a notable gap in qualitative in-depth research examining the emotional and psychological effects of LLMs on users' mental well-being.
View Article and Find Full Text PDFPurpose: The purpose of this study was to describe labor and delivery nurses' experiences in caring for patients during the COVID-19 pandemic.
Methods: We used a descriptive phenomenological design and purposeful sampling to recruit experienced labor and delivery nurses for flexible semi-structured face-to-face audiotaped interviews. Constant comparison was used to analyze data.
Thermoelectric Gel Enabling Self-Powered Facial Perception for Expression Recognition and Health Monitoring.
ACS Sens
December 2024
College of Integrated Circuits, Taiyuan University of Technology, Taiyuan 030024, China.
By analyzing facial features to perform expression recognition and health monitoring, facial perception plays a pivotal role in noninvasive, real-time disease diagnosis and prevention. Current perception routes are limited by structural complexity and the necessity of a power supply, making timely and accurate monitoring difficult. Herein, a self-powered poly(vinyl alcohol)-gellan gum-glycerol thermogalvanic gel patch enabling facial perception is developed for monitoring emotions and atypical pathological states.
View Article and Find Full Text PDFThe Impact of a Breast Cancer Diagnosis on the Social Interaction Patterns of Young Omani Women: A Qualitative Study Approach.
Curr Oncol
December 2024
Sultan Qaboos Comprehensive Cancer Care and Research Centre, University Medical City, Muscat 123, Oman.
Background And Aim: Young women diagnosed with breast cancer (BC) face considerable psychological and emotional distress, impacting their interactions with themselves, their families, and the wider community. This study sought to explore the interaction patterns of young Omani BC survivors following their diagnosis and during treatment.
Materials And Methods: Semi-structured individual interviews were conducted with 11 Omani women diagnosed with BC, recruited from the Sultan Qaboos Comprehensive Cancer Care and Research Centre in Muscat, Oman.
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