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| http://dx.doi.org/10.2471/BLT.15.163683 | DOI Listing |
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Effect of SMS Ward Round Notifications on Inpatient Experience in Acute Medical Settings: Retrospective Cohort Study.
JMIR Hum Factors
March 2025
Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Gyeonggi-do, Seongnam-si, 13620, Republic of Korea, 82 317877085.
Background: Ward rounds are an essential component of inpatient care. Patient participation in rounds is increasingly encouraged, despite the occasional complicated circumstances, especially in acute care settings.
Objective: This study aimed to evaluate the effect of real-time ward round notifications using SMS text messaging on the satisfaction of inpatients in an acute medical ward.
Using a smartphone app to monitor Raynaud's attacks and quantify skin colour changes-towards objective outcome measures for Raynaud's.
Rheumatology (Oxford)
March 2025
Centre for Imaging Sciences, Institute of Population Health, University of Manchester, Manchester, UK.
Objectives: Our overall aim was to develop a smartphone app to collect photographic images of Raynaud's phenomenon (RP) attacks alongside patient reported outcome measures (PROMs). Specific objectives included assessing the feasibility of patients documenting RP attacks using mobile phones, developing image analysis methods to document colour change, and comparing photographic parameters to 'non-imaging' app and paper diary parameters.
Methods: Study 1: 36 patients with systemic sclerosis (SSc)-related RP photographed RP attacks over 15 days as well as completing an RP paper diary.
Real-life Affective Forecasting in Young Adults with High Social Anhedonia: An Experience Sampling Study.
Schizophr Bull Open
January 2025
Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Background And Hypothesis: Affective forecasting (AF), the ability to forecast emotional responses for future events, is critical for optimal decision-making and mental health. Most previous AF studies were conducted using laboratory-based tasks but overlooked the impacts of real-life situations and social interactions. This study used the experience sampling method to examine real-life AF in young healthy adults and individuals with high social anhedonia.
View Article and Find Full Text PDFMoodMon: novel optimization of bipolar disorder monitoring through patient-driven voice parameter submission and AI technology.
Postep Psychiatr Neurol
December 2024
Britenet Med Ltd., Poland.
Purpose: Behavioral data collected from smartphones can assist artificial intelligence (AI) in assessing and predicting fluctuations in mental states in patients with bipolar disorder (BD). In Poland, the MoodMon online system is used to integrate passive and active data, including voice parameters, for analysis and the issue of alerts based on changes in individual's mental state. The study aims to explore whether active engagement of the patient enhances the efficacy of the advanced MoodMon tool.
View Article and Find Full Text PDFSmartphone addiction among elderly individuals: its relationship with physical activity, activities of daily living, and balance levels.
BMC Public Health
March 2025
Nursing Department, Faculty of Health Sciences, Sakarya University of Applied Sciences, Sakarya, Türkiye.
Background: The growing use of smartphones among elderly individuals, driven by social and informational needs, may lead to smartphone addiction, potentially impacting their daily lives. This study aimed to determine whether there is a difference in physical activity, activities of daily living, and balance levels between elderly individuals with and without smartphone addiction.
Methods: This descriptive and cross-sectional study included 94 elderly individuals.
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