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Purpose: Sharing aggregate results with research participants is a widely agreed-upon ethical obligation; yet, there is little research on communicating study results to diverse populations enrolled in genomics research. This article describes the cocreation of a visual narrative to explain research findings to families enrolled in a clinical genomics research study.

Methods: The design process involved researchers, clinicians, study participants, a physician illustrator, and a health communications expert.

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Background: Non-adherence to medication remains a persistent and significant challenge, with profound implications for patient outcomes and the long-term sustainability of healthcare systems. Two decades ago, the World Health Organization (WHO) dedicated its seminal report to adherence to long-term therapies, catalysing notable changes that advanced both research and practice in medication adherence. The aim of this paper was to identify the most important progress made over the last 2 decades in medication adherence management and to initiate a discussion on future objectives, suggesting priority targets for the next 20 years.

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Gambling, though a popular social activity, can lead to addiction and cause significant harm. This study aimed to explore the experiences of 36 low-to-moderate risk gamblers (PGSI score 0-7; 31 male, 5 female; 10 per each intervention arm, 6 per control group) in the 'EROGamb 2.0' feasibility trial ( = 168).

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More work is needed to establish the validity of the Alternative Model of Personality Disorders (AMPD) in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Acceptance of the AMPD as the primary model of personality disorder requires identifying neurocognitive validators of AMPD-defined personality functioning and demonstrating superiority of the AMPD over the traditional categorical model of personality disorder. It is also important to establish the utility of the AMPD in a developmental context given evidence that personality disorder emerges in adolescence.

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Background: Providing ongoing support to the increasing number of caregivers as their needs change in the long-term course of dementia is a severe challenge to any health care system. Conversational artificial intelligence (AI) operating 24/7 may help to tackle this problem.

Objective: This study describes the development of a generative AI chatbot-the PDC30 Chatbot-and evaluates its acceptability in a mixed methods study.

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