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Background: Clinical decision support systems leveraging artificial intelligence (AI) are increasingly integrated into health care practices, including pharmacy medication verification. Communicating uncertainty in an AI prediction is viewed as an important mechanism for boosting human collaboration and trust. Yet, little is known about the effects on human cognition as a result of interacting with such types of AI advice.

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Background: Within the last decade, system and policy-level changes have driven substantial shifts in heart failure (HF) care from hospital to home, requiring greater support from informal care partners. What has not been examined is the state of the care partner science by person and system-level domains using qualitative studies to understand impact across multiple person and system levels.

Objectives: (1) Identify by person and system levels and domain what is known about informal care partners and (2) Identify gaps in the caregiving science and suggest ways to move forward.

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Background: Mental health problems in university students are associated with many negative outcomes, yet there is a gap between need and timely access to help. Single-session interventions (SSIs) are designed to be scalable and accessible, delivering core evidence-based intervention components within a one-off encounter.

Objective: COMET (Common Elements Toolbox) is an online self-help SSI that includes behavioral activation, cognitive restructuring, gratitude, and self-compassion.

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COVID-19 has resulted in enormous labour consequences for persons with disabilities, resulting in worries about their economic futures. While limited research assesses these worries in the general population, research to date has not examined employment-related worries for veterans with disabilities. The purpose of this study was to assess if veteran status results in elevated employment-related worries among persons with disabilities.

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Background: Black adults in the United States experience disproportionately high rates of tobacco- and obesity-related diseases, driven in part by disparities in smoking cessation and physical activity. Smartphone-based interventions with financial incentives offer a scalable solution to address these health disparities.

Objective: This study aims to assess the feasibility and preliminary efficacy of a mobile health intervention that provides financial incentives for smoking cessation and physical activity among Black adults.

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