Health Communication

This study aims to examine the effects of cognitive and emotional inoculation interventions on young adults' ability to identify and respond to nutrition-related misinformation on social media. The study will compare two game-based inoculation approaches-a cognitive inoculation intervention and an emotional inoculation intervention-with a control condition. Outcomes will be assessed at baseline, immediately after the intervention, and 2 weeks later.

The objective of AI-CARE is to train researchers and community members to use artificial intelligence (AI) to create plain-language summaries of research studies and to determine whether a co-creation process for developing these summaries improves understanding and relevance of the research, confidence in AI and in institutions, and AI literacy. The hypothesis is that AI-generated research summaries, co-developed with researchers and community partners, will significantly improve confidence in research and institutions, understanding and accessibility of the research, and appropriateness of the summary compared with standard researcher-generated materials, and that the educational and co-creation process will build community members' AI literacy and confidence in using AI, as well as researchers' readiness to use and comfort with using AI for communicating research.

The goal of this clinical trial is to learn if ReSPECT, which includes a pre-visit checklist for patients to complete and an informational website, can work well in practice to help adolescent and young adult oncology patients communicate with their clinicians about sexual and reproductive health (SRH). SRH includes topics such as how cancer may impact puberty and development, best methods for contraception during cancer treatment, fertility risk and fertility preservation strategies, and dating/relationships during and after cancer. The study will also help researchers better understand how to best measure the impact of ReSPECT on improving SRH communication for future testing of ReSPECT. The main questions the study aims to answer are: How well does ReSPECT work in practice? Do patients and clinicians like ReSPECT, and do they find it helpful? What are the best ways to test ReSPECT and measure whether it works? Participants will: Use ReSPECT to support a conversation about SRH during an outpatient oncology clinic appointment Complete surveys before and after using ReSPECT Provide feedback on their experience using ReSPECT in a short interview

This study evaluates whether adding machine learning-based risk information to electronic health record (EHR) lab result messages helps older adults better understand their risk of developing diabetes and influences their emotional responses, quality of life, and healthcare use. Eligible participants are adults aged 65 years and older with a UCLA primary care provider and a hemoglobin A1c level in the range (5.7-6.0%). Participants are identified automatically at the time their lab results are processed and are randomly assigned to receive either standard lab result messages or modified messages that include a "very low risk" label generated by a machine learning model. All participants who are randomized are invited to complete two surveys: one shortly after their lab result is posted in MyChart and a follow-up survey approximately 30 days later. The study also uses de-identified EHR data to examine patterns of healthcare utilization and progression to diabetes. Provider comments related to lab result messaging will be analyzed to explore differences in response patterns between the two groups.

This observational study explores the legal and ethical boundaries of dental communication on social media, analyzing Italian regulatory evolution. Through surveys involving dental professionals and patients, it assesses awareness of advertising regulations and the impact of digital communication on the patient-practitioner relationship. The research identifies knowledge gaps regarding deceptive advertising and highlights the need for transparent, deontologically compliant digital practices to protect public health.

This research is designed to determine the effect of motivational interview-based communication training on nursing students' counselling skills, communication self-efficacy, and communication reluctance levels. The project will be conducted using a randomised controlled experimental design. The sample will consist of 72 second-year nursing students studying at the Department of Nursing, Ankara University Faculty of Nursing. Participants will be randomly assigned to experimental (n=36) and control (n=36) groups. The experimental group will receive motivational interview-based communication training, while the control group will receive training on basic communication and interpersonal interaction skills in nursing. The training will consist of five sessions; theoretical sessions will be 60 minutes each, and the standard patient interview practice to be applied to the experimental group will last three days. The standard patient interview practices will be conducted in the Communication Skills Laboratory of Ankara University Faculty of Nursing. The research data will be collected using a Demographic Information Form, the Counselling Skills Scale for Nurses, the Effective Communication Self-Efficacy Inventory, and the Communication Reluctance Scale, through pre-test, post-test, and follow-up measurements. Additionally, the project plans to train individuals to assume the role of a standard patient in the communication skills laboratory, creating a standard patient pool that can be used in future training and research. The project expects that motivational interview-based communication training will strengthen nursing students' counselling skills and communication self-efficacy, and reduce communication reluctance. The results are intended to provide a scientific contribution to the planning and development of communication training in nursing education programs.

Objectives: To empower older people's decision making for taking the recommended vaccines including seasonal influenza vaccines, pneumococcal vaccines, and COVID-19 vaccine (if it is recommended annually). Hypotheses to be tested: The interventions designed using Mental Models Approach and Patient Activation Approach will promote older people's confidence in knowledge and skills regarding vaccination decisions, perceived self-efficacy in self-management of health, positive emotional engagement with vaccination decisions and a positive future time perspective which will subsequently promote their uptake of the recommended vaccines. Design and subjects: This will be a two-arm randomized control trial. Subjects will be community-dwelling older people aged 70 years or above. Instruments: A questionnaire will be used to collect baseline data before the interventions and follow-up data 1 months and 4 months, respectively, after the end of interventions. Interventions: Interventions included one booklet to communicate information about preventive care by bridging expert knowledge and older people's existing mental models, and six patient activation sections conducted over telephone. One patient activation section will be delivered per week by trained medical students. Main outcome measures: Main outcomes will be participants' uptake of the three recommended vaccines assessed at 1 month and 4 months after the end of interventions. Data analysis and expected results: Generalized estimating equation logistic regression will be used to assess the intervention effects. The investigators expect that the interventions can promote at least 20% increase in uptake of any one of the three recommended vaccines in the intervention group compared with the control group.