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Barriers and Facilitators of User Engagement With Digital Mental Health Interventions for People With Psychosis or Bipolar Disorder: Systematic Review and Best-Fit Framework Synthesis.
JMIR Ment Health
January 2025
Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom.
Background: Digital mental health interventions (DMHIs) to monitor and improve the health of people with psychosis or bipolar disorder show promise; however, user engagement is variable, and integrated clinical use is low.
Objective: This prospectively registered systematic review examined barriers and facilitators of clinician and patient engagement with DMHIs, to inform implementation within real-world settings.
Methods: A systematic search of 7 databases identified empirical studies reporting qualitative or quantitative data about factors affecting staff or patient engagement with DMHIs aiming to monitor or improve the mental or physical health of people with psychosis or bipolar disorder.
Incorporating area-level social drivers of health in predictive algorithms using electronic health record data.
J Am Med Inform Assoc
January 2025
Department of Health Policy, Stanford School of Medicine, Stanford, CA 94305, United States.
Objectives: The inclusion of social drivers of health (SDOH) into predictive algorithms of health outcomes has potential for improving algorithm interpretation, performance, generalizability, and transportability. However, there are limitations in the availability, understanding, and quality of SDOH variables, as well as a lack of guidance on how to incorporate them into algorithms when appropriate to do so. As such, few published algorithms include SDOH, and there is substantial methodological variability among those that do.
View Article and Find Full Text PDFPrognostic Value of Transvalvular Flow Rate in Aortic Stenosis: Implications for Risk Stratification.
Echocardiography
January 2025
Cardiology Department, Soroka University Medical Center, Beer-Sheba, Israel.
Background: Timing of treatment of aortic stenosis (AS) is of key importance. AS severity is currently determined by transthoracic echocardiography (TTE) with a main focus on mean trans-aortic gradients. However, echocardiography has its limitations.
View Article and Find Full Text PDFThe Impact of Electrophysiological Diversity on Pattern Completion in Lithium Nonresponsive Bipolar Disorder: A Computational Modeling Approach.
Brain Behav
January 2025
Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
Introduction: Patients with bipolar disorder (BD) demonstrate episodic memory deficits, which may be hippocampal-dependent and may be attenuated in lithium responders. Induced pluripotent stem cell-derived CA3 pyramidal cell-like neurons show significant hyperexcitability in lithium-responsive BD patients, while lithium nonresponders show marked variance in hyperexcitability. We hypothesize that this variable excitability will impair episodic memory recall, as assessed by cued retrieval (pattern completion) within a computational model of the hippocampal CA3.
View Article and Find Full Text PDFSpatiotemporal analysis of agricultural drought variability in the uMkhanyakude District Municipality, KwaZulu-Natal.
Environ Monit Assess
January 2025
Department of Life and Consumer Sciences, University of South Africa, Johannesburg, South Africa.
Exploring drought dynamics has become urgent due to unprecedented climate change. Projections indicate that drought events will become increasingly widespread globally, posing a significant threat to the sustainability of the agricultural sector. This growing challenge has resulted in heightened interest in understanding drought dynamics and their impacts on agriculture.
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