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Background: Patient advisory groups are key to guiding research studies through meaningful engagement with the population of interest. Although patient advisory groups are greatly valuable to research studies, they are underutilized in inflammatory bowel disease research. Thus, this study aims to describe the development and implementation of a patient advisory group and evaluate the perspectives of researchers and members.
View Article and Find Full Text PDFDesigning Health Recommender Systems to Promote Health Equity: A Socioecological Perspective.
J Med Internet Res
January 2025
Department High-Tech Business and Entrepreneurship Section, Industrial Engineering and Business Information Systems, University of Twente, Enschede, Overijssel, Netherlands.
Health recommender systems (HRS) have the capability to improve human-centered care and prevention by personalizing content, such as health interventions or health information. HRS, an emerging and developing field, can play a unique role in the digital health field as they can offer relevant recommendations, not only based on what users themselves prefer and may be receptive to, but also using data about wider spheres of influence over human behavior, including peers, families, communities, and societies. We identify and discuss how HRS could play a unique role in decreasing health inequities.
View Article and Find Full Text PDFConstruct validity and responsiveness of clinical upper limb measures and sensor-based arm use within the first year after stroke: a longitudinal cohort study.
J Neuroeng Rehabil
January 2025
Luzerner Kantonsspital, University, Teaching and Research Hospital, University of Lucerne, Lucerne, Switzerland.
Background: Construct validity and responsiveness of upper limb outcome measures are essential to interpret motor recovery poststroke. Evaluating the associations between clinical upper limb measures and sensor-based arm use (AU) fosters a coherent understanding of motor recovery. Defining sensor-based AU metrics for intentional upper limb movements could be crucial in mitigating bias from walking-related activities.
View Article and Find Full Text PDFExploring condition in which people accept AI over human judgements on justified defection.
Sci Rep
January 2025
College of Policy Studies, Tsuda University, Tokyo, 151-0051, Japan.
As artificial intelligence (AI) technology is introduced into different areas of society, understanding people's willingness to accept AI decisions emerges as a critical scientific and societal issue. It is an open question whether people can accept the judgement of humans or AI in situations where they are unsure of their judgement, as in the trolley problem. Here, we focus on justified defection (non-cooperation with a bad person) in indirect reciprocity because it has been shown that people avoid judging justified defection as good or bad.
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