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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872728 | PMC |
| http://dx.doi.org/10.1007/s12528-023-09350-9 | DOI Listing |
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Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-Being.
JMIR Form Res
January 2025
Smith School of Business, Queen's University, Kingston, ON, Canada.
Background: Depression significantly impacts an individual's thoughts, emotions, behaviors, and moods; this prevalent mental health condition affects millions globally. Traditional approaches to detecting and treating depression rely on questionnaires and personal interviews, which can be time consuming and potentially inefficient. As social media has permanently shifted the pattern of our daily communications, social media postings can offer new perspectives in understanding mental illness in individuals because they provide an unbiased exploration of their language use and behavioral patterns.
View Article and Find Full Text PDFDeveloping a Machine Learning-Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study.
JMIR Form Res
January 2025
Department of Computer Science, Purdue University, West Lafayett, IN, United States.
Background: Patient engagement is a critical but challenging public health priority in behavioral health care. During telehealth sessions, health care providers need to rely predominantly on verbal strategies rather than typical nonverbal cues to effectively engage patients. Hence, the typical patient engagement behaviors are now different, and health care provider training on telehealth patient engagement is unavailable or quite limited.
View Article and Find Full Text PDFA randomised cross-over trial assessing the impact of AI-generated individual feedback on written online assignments for medical students.
Med Teach
January 2025
Institute of Medical Education, University Hospital Bonn, Bonn, Germany.
Purpose: Self-testing has been proven to significantly improve not only simple learning outcomes, but also higher-order skills such as clinical reasoning in medical students. Previous studies have shown that self-testing was especially beneficial when it was presented with feedback, which leaves the question whether an immediate and personalized feedback further encourages this effect. Therefore, we hypothesised that individual feedback has a greater effect on learning outcomes, compared to generic feedback.
View Article and Find Full Text PDFExperiences of Intern Nurses Returning From Distance Education to Clinical Practice During the COVID-19 Pandemic: A Qualitative Study.
J Eval Clin Pract
February 2025
Faculty of Nursing, Mental Health and Psychiatric Nursing, Ege University, Bornova, Turkey.
Rationale: The present study aimed to understand the experiences of intern nurses returning to clinical practice after a year-long distance education during the pandemic.
Methods: The study was conducted using the qualitative content analysis method. The participants were 32 intern nurses.
Hip Joint Articulotrochanteric Distance Measurements in Children: Articulotrochanteric Distance in Children Aged 5 to 14 Years Does Not Increase With Age.
J Pediatr Orthop
January 2025
Department of Orthopedics Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders.
Background: The articulotrochanteric distance (ATD) has universally been utilized to assess greater trochanter overgrowth in pediatric orthopaedic diseases. However, its overgrowth cannot be detected in a timely manner due to the absence of a normal ATD value. This study is to determine the ATD normal value in hip radiographs of children under the age of 14 and to establish the threshold for overgrowth of the greater trochanter.
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