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Third-Wave CBT Online Intervention for Older Adults Inspired by ACT Principles: An Evaluation of Feasibility and Preliminary Effectiveness in Adults Age 75 and Older.
Clin Gerontol
December 2024
Baruch Ivcher School of Psychology, Reichman University, Herzliya, Israel.
Objectives: This study assessed the feasibility and efficacy of "Online Resilience," a three-lesson online intervention based on third-wave cognitive behavioral therapy (CBT) principles, inspired by acceptance and commitment therapy (ACT), designed for emotionally healthy adults aged 75 and older.
Methods: A randomized controlled study with 62 participants (mean age = 81) divided into Experimental and Control groups. Outcomes included resilience, well-being, mood, and sleep quality, measured pre-, post-, and at one-month follow-up.
Accurate and Efficient Algorithm for Detection of Alzheimer Disability Based on Deep Learning.
Cell Physiol Biochem
December 2024
Joint Institute for Nuclear Research, 141980 Dubna, Russiac.
Background/aims: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that severely affects cognitive functions and memory. Early detection is crucial for timely intervention and improved patient outcomes. However, traditional diagnostic tools, such as MRI and PET scans, are costly and less accessible.
View Article and Find Full Text PDFUsing community organizing to build a system of care: A mixed methods evaluation.
Am J Community Psychol
December 2024
Loyola University Chicago, Chicago, Illinois, USA.
The purpose of this study was to utilize mixed methods to evaluate the initial implementation of a system of care (SOC) developed and implemented from a community organizing framework. Surveys were conducted with partners (navigators, community partners, parents) to examine changes pre- and post-implementation of the SOC. Surveys assessed care coordination, effectiveness of communication across organizations, quality of services and relationships, barriers, health-related stressors, and distrust.
View Article and Find Full Text PDFCan artificial intelligence improve patient educational material readability? A systematic review and narrative synthesis.
Intern Med J
December 2024
Department of Interventional Neuroradiology, Austin Health, Melbourne, Victoria, Australia.
Enhancing patient comprehension of their health is crucial in improving health outcomes. The integration of artificial intelligence (AI) in distilling medical information into a conversational, legible format can potentially enhance health literacy. This review aims to examine the accuracy, reliability, comprehensiveness and readability of medical patient education materials (PEMs) simplified by AI models.
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