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The purpose of this review is to analyze factors that influence individuals' decisions to participate in clinical trials focusing on racial and ethnic disparities that exist in clinical trials. These factors are then used to develop a survey that may be used in a clinical setting to further understand specific factors affecting participation. A comprehensive search of electronic databases was carried out for publications from 2010 to 2021 using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. After reviewing the data, the predominant factors that were encountered in the search were then commented upon and reviewed to create an evidence-based questionnaire. Using the comprehensive search, factors that affect clinical trial participation were identified. These factors were then used to create a comprehensive, evidence-based questionnaire to be implemented in a clinical setting to conduct and analyze the factors impacting participation in clinical trials. Understanding the factors that primarily impact an individual's decisions to participate or not participate in a clinical trial allow researchers to implement changes to decrease the hesitancy regarding participation.
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http://dx.doi.org/10.7759/cureus.24424 | DOI Listing |
JACC Heart Fail
September 2025
Université de Lorraine, Inserm, Centre d'Investigations Cliniques Plurithématique 1433, Centre Hospitalier Régional Universitaire de Nancy, Nancy, France.
JMIR Ment Health
September 2025
National Institute of Health and Care Research MindTech HealthTech Research Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.
Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors.
JMIR Res Protoc
September 2025
National Institute of Public Health, University of Southern Denmark, Copenhagen K, Denmark.
Background: The high and increasing rate of poor mental health among young people is a matter of global concern. Experiencing poor mental health during this formative stage of life can adversely impact interpersonal relationships, academic and professional performance, and future health and well-being if not addressed early. However, only a few of those in need seek help.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT, United States.
Background: Children in the United States have poor diet quality, increasing their risk for chronic disease burden later in life. Caregivers' feeding behaviors are a critical factor in shaping lifelong dietary habits. The Strong Families Start at Home/Familias Fuertes Comienzan en Casa (SFSH) was a 6-month, home-based, pilot randomized-controlled feasibility trial that aimed to improve the diet quality of 2-5-year-old children and promote positive parental feeding practices among a predominantly Hispanic/Latine sample.
View Article and Find Full Text PDFJCO Clin Cancer Inform
September 2025
USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Purpose: To evaluate a generative artificial intelligence (GAI) framework for creating readable lay abstracts and summaries (LASs) of urologic oncology research, while maintaining accuracy, completeness, and clarity, for the purpose of assessing their comprehension and perception among patients and caregivers.
Methods: Forty original abstracts (OAs) on prostate, bladder, kidney, and testis cancers from leading journals were selected. LASs were generated using a free GAI tool, with three versions per abstract for consistency.