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This study is being completed to test an AI therapy chatbot application called Earkick to see whether it is feasible and acceptable in supporting care partners who support individuals living with dementia.
The goal of this clinical trial is to test whether short conversations with large language model (LLM) chatbots can persuade vaccine-hesitant parents to vaccinate their children against human papillomavirus (HPV). The study compares two chatbot styles to official public health information and to a no-message control. Parents of HPV-eligible children first complete a survey about their attitudes toward the HPV vaccine and their main concerns. They are then randomly assigned to read public health materials, have a three-minute conversation with either a default-style chatbot or a conversational-style chatbot tailored to their concern, or receive no message. The main outcome is change in intent to vaccinate immediately after the intervention, with follow-up surveys at 15 and 45 days.
The purpose of this study is to test an eating disorders prevention digital chatbot program in a diverse group of adolescents.
During pregnancy, all pregnant people are offered tests to look for genetic conditions in the baby. However, there isn't a standard way of giving this information to patients. Doctors have a lot of things to discuss during the first prenatal visit and don't always have time to explain genetics in detail. Also, not everyone has access to genetic counselors. Prenatal genetics can be confusing, especially for people who haven't had a lot of formal education or who speak languages other than English. There might be misunderstandings about what these tests can find and what their benefits or risks are for these tests. Mobile apps, like chatbots, could be a helpful way to give information about prenatal genetics. Almost everyone has a cell phone, and a chatbot can let people learn at their own speed and whenever they want. The goal of this study is to see if a chatbot app Prenatal GENEie can teach pregnant women about prenatal genetics, and compare the chatbot to talking with a genetic counselor in person. The study wants to answer these main questions: * Does the Prenatal GENEie help pregnant patients learn about prenatal genetics the same way as a meeting with a genetic counselor? * Can the Prenatal GENEie and in-person counseling both help people make decisions about whether they want prenatal genetic testing? The researchers will compare the chatbot Prenatal GENEie with in-person counseling to see if the chatbot teaches people about prenatal genetics in a similar way. Participants will: * Take a test to check what they already know about prenatal genetics prior to the intervention * Use the chatbot or have an in-person meeting with a genetic counselor * Take a test after using the chatbot or meeting with a counselor to see how much their knowledge has improved * Fill out a survey about how comfortable they feel with their decision to do or not do prenatal genetic testing
To address both loneliness and engagement in perinatal and OUD care among perinatal women, the investigators plan to adapt an existing texting support chatbot, Penny, to make it appropriate for use by women who are pregnant and postpartum and dealing with OUD. The newly adapted chatbot, Penny COPILOT, will allow for two way short message service (SMS) messaging to respond appropriately and accurately to user generated input. The investigative team, in collaboration with the Penn Mixed Methods Research Lab (MMRL) and Penn's Way 2 Health Team, will use intervention mapping guided by the Consolidated Framework for Implementation Science. The investigators will conduct a needs assessment, assemble an advisory board, engage in pretesting to ensure safety and refine content, and pilot test the resultant adapted Penny COPILOT in a sample of 20 perinatal women with OUD to evaluate acceptability, feasibility, and patient satisfaction. The goal is to develop and refine an acceptable, feasible, and satisfactory supportive texting chatbot to promote patient engagement in perinatal and OUD care and decrease perceived loneliness.
The goal of this clinical trial is to learn if Therabot-CALM (Cannabis, Anxiety, Low Mood) has acceptability among users and could work to improve the symptoms of persons with cannabis use disorder and anxiety and/or depression. The main question it aims to answer is: What is the usability, feasibility, and acceptability of Therabot-CALM in persons with Cannabis Use Disorder and Anxiety and/or Depression? Participants will * Take a screening questionnaire * Participate in two virtual 1-hour interviews to provide feedback on app design and suggest features. * Engage with Therabot-CALM in a 4-week clinical trial and provide feedback on their app experience in a third virtual interview
Atrial Fibrillation is a chronic disease with significant health consequences like increased risk of stroke, heart failure, heart attack and death. Educating patients about the disease is important for them to be able to understand the condition better, feel empowered and take an active part in their care plan. AI technology can potentially be used to impart such education. However, doing so with care and empathy is equally important. Therefore, it is necessary to ensure when AI technology is used to impart education about atrial fibrillation to patients, the humane aspects of the interaction are rigorously tested. This study examines a way to impart atrial fibrillation education through interaction with an AI chatbot, that uses text and links to educational videos. To participate in this study, people need to be age 18 or older and have a history of newly diagnosed atrial fibrillation. Approximately 40 individuals will be asked to take part in this study. The first step to the study will be reading through, understanding, and signing an informed consent. People who then agree to join the study will have a one-time interaction with the AI chatbot and structured educational material by using an iPad provided to them for the approximately 1 hour duration of the study. People in the study will obtain atrial fibrillation education by typing one by one on the iPad, up to 10 questions about the disease. Answers will include text and links to videos. Before and after atrial fibrillation education, people who join this study will be asked to fill out a survey. The study team will teach patients how to use the iPad and type in questions.
Rosie the Chatbot is an educational chatbot that moms can have on their computers or cellphones and will work by moms typing in their questions about pregnancy, health, infant milestones, and other variety of health related topics and receiving back a response immediately. Rosie only provides information from verified sources such as children's hospitals, health organizations and government agencies. Rosie does not ask moms to provide any personal information on her or her child, her chat is completely confidential, it works in English and Spanish and will be free.
Breast cancer screening disparities among Black women persist despite health system recognition and outreach. However, current evidence on how to tailor and optimize implementation strategies for breast cancer screening outreach is limited. The proposed study is part of a larger project to design a chatbot for breast cancer screening outreach to Black women and will focus on optimizing the chatbot persona. Using the Multiphase Optimization Strategy (MOST) framework, the investigators will conduct a randomized factorial experiment to assess the individual components of chatbot persona for breast cancer screening and identify which components have the greatest effect on trust and engagement for Black women. This information will guide the design of an optimized chatbot intervention that achieves the primary outcomes.
Primary Objective: Conduct pilot study to assess effects of brief negotiation interview (BNI) Chatbot among individuals involved in the Connecticut criminal justice system with opioid use disorder (OUD). Study Duration: Approximately 2 years (1 year for study activities, 1 year for data analysis) Study Design: This is a prospective, randomized study to evaluate the effectiveness of a BNI Chatbot on patients with OUD compared with Standard Care (SC). Number of Study Sites: The offices of the Center for Progressive Recovery, LLC and the New Haven Police Department Detention Center (NHPD). Study Population: The study population includes adult individuals with OUD who are involved in the Connecticut criminal justice system and not currently receiving medication-assisted treatment for their OUD. Number of Participants: Sixty participants Primary Outcome Variable: Attendance at participants first treatment appointment within four weeks of referral among participants in the BNI Chatbot vs. Standard Care (SC) groups. Secondary Outcome and Exploratory Outcome Variables: Secondary outcomes include readiness and intention to engage in buprenorphine (bup) treatment, and urine toxicology test-confirmed drug use at four weeks among participants in BNI Chatbot vs. SC groups. Exploratory outcomes include ratings of feasibility, acceptability and satisfaction between study groups, and a comparison of study findings to engagement data from previous in-person studies, including BNI+bup, and other digital programs, such as reSET-O, and DynamiCare.