AI-CARE: AI to Create Accessible & Reliable Patient Education Materials
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 50
- 试验地点
- 2
- 主要终点
- Clarity and Understandability score
研究概览
简要总结
This study investigates the use of Generative AI (GAI) to support primary care practices in delivering accurate, accessible patient education. With the rise of health misinformation, increasingly complex patient needs, and a strained healthcare workforce, primary care must find new ways to communicate trusted health information effectively. Leveraging the Canadian Primary Care Information Network (CPIN), this study will generate patient education messages on key health topics using both GAI and human content experts.
Diverse review panels of patients and providers will assess the messages on quality of information, adaptability, and relevance and usefulness, with special attention to socioeconomic factors that may impact message accessibility. CPIN will recruit a diverse sample of participants to evaluate both GAI- and human-generated messages. Review panels will provide structured feedback via surveys, aiming to identify differences in content quality and effectiveness.
The study's goal is to determine whether GAI can produce high-quality health information that meets primary care standards. Results will reveal how GAI tools can support primary care in reducing misinformation and administrative burdens, fostering patient-provider relationships, and improving health equity. Findings will inform best practices for integrating GAI in primary care to ensure accessible, timely patient education across Canada.
详细描述
Background. The increasing prevalence of health misinformation, complex patient needs, and a strained healthcare workforce necessitate innovative approaches to patient education in primary care. Generative AI (GAI) offers the potential to deliver accurate, accessible health information while reducing administrative burdens. This study explores the use of GAI to support primary care practices in producing trusted, high-quality patient education materials.
Objective. The investigators propose to leverage advances in GAI and our experience with CPIN to provide timely and accurate health information for primary care practices across Canada. Our goal is to determine whether GAI can produce education material for primary care that is non-inferior compared to experts in primary care and public health.
Methods. The content team for this study will consist of experts specializing in primary care, public health, or health communication. Team members will create digital health messages in two formats: a short, text-messaging format (850 characters or less), and a one-page handout for patients. On the other hand, a generative AI system will also generate messages. Topics and prompts for message writing will be provided to both the content team and the GAI. Messages in English and French will be available.
To evaluate the generated content, two review panels (a review panel of 25 providers and one of 25 patients) will assess messages created by both human experts and generative AI over the course of 12 months. Each month, using an evaluation grid provided to assess the quality of information, adaptability, and relevance and usefulness of the message, panelists will review a total of 16 messages (four topics x 4 messages).
Panelists will be blinded to the message generation source (AI or human). Short messages will be shown first to minimize potential bias from the detailed information in longer messages and ensure their clarity and completeness are effectively assessed.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Crossover
- 主要目的
- Health Services Research
- 盲法
- Double (Participant, Outcomes Assessor)
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Content team members: Content team members must have an expertise in primary care, public health, or health communication. The investigators aim to recruit at least two or three members whose mother tongue is French.
- •Providers' review panel: The investigators will recruit a diverse group of primary care providers. All providers who provide comprehensive care in Canada and will be eligible to participate. They must be proficient in either written English or French. They must be able to consent to participate in this study.
- •Patients' review panel: The investigators will recruit a diverse group of patients. All must be aged 18 years or older and be proficient in either written English or French. They must be able to consent to participate in this study.
排除标准
- •Content team members, primary care providers, or patients who cannot write (content team members) or read (review panels) in either French or English will be excluded. Primary care providers or patients who do not have an email address, a computer or a cellphone to complete the evaluations on REDCap will also be excluded. The investigators will not include minors or patients who cannot provide informed consent themselves, such as those with advanced dementia.
结局指标
主要结局
Clarity and Understandability score
时间窗: 12 months
Message score on three statements related to Clarity and Understandability after the participant has read the message. Three Likert scale questions from 1 - 4 (1: Strongly disagree and 4: Strongly agree), total score between 3 - 12 (low score: poorly rated message, high score: well rated message).
次要结局
- Overall message score(12 months)
- Message category and subcategory scores(12 months)