RESUMEN
BACKGROUND: Patients find technology tools to be more approachable for seeking sensitive health-related information, such as reproductive health information. The inventive conversational ability of artificial intelligence (AI) chatbots, such as ChatGPT (OpenAI Inc), offers a potential means for patients to effectively locate answers to their health-related questions digitally. OBJECTIVE: A pilot study was conducted to compare the novel ChatGPT with the existing Google Search technology for their ability to offer accurate, effective, and current information regarding proceeding action after missing a dose of oral contraceptive pill. METHODS: A sequence of 11 questions, mimicking a patient inquiring about the action to take after missing a dose of an oral contraceptive pill, were input into ChatGPT as a cascade, given the conversational ability of ChatGPT. The questions were input into 4 different ChatGPT accounts, with the account holders being of various demographics, to evaluate potential differences and biases in the responses given to different account holders. The leading question, "what should I do if I missed a day of my oral contraception birth control?" alone was then input into Google Search, given its nonconversational nature. The results from the ChatGPT questions and the Google Search results for the leading question were evaluated on their readability, accuracy, and effective delivery of information. RESULTS: The ChatGPT results were determined to be at an overall higher-grade reading level, with a longer reading duration, less accurate, less current, and with a less effective delivery of information. In contrast, the Google Search resulting answer box and snippets were at a lower-grade reading level, shorter reading duration, more current, able to reference the origin of the information (transparent), and provided the information in various formats in addition to text. CONCLUSIONS: ChatGPT has room for improvement in accuracy, transparency, recency, and reliability before it can equitably be implemented into health care information delivery and provide the potential benefits it poses. However, AI may be used as a tool for providers to educate their patients in preferred, creative, and efficient ways, such as using AI to generate accessible short educational videos from health care provider-vetted information. Larger studies representing a diverse group of users are needed.
RESUMEN
The COVID-19 pandemic has shown that despite having high risk for severe disease, some individuals had low-risk perception and consequently they refused vaccination. This was more common among individuals with distrust in the government and the scientific organizations. Cognitive dissonance occurs when a person participates in an action that goes against one's beliefs. In order to reduce the dissonance, the individual often avoids the action. Recently, dissonance-based interventions have been shown to be effective in changing various health, environmental, and social behaviors. The impact of these interventions may persist for several years. Cognitive dissonance may be another mechanism for vaccine refusal among people with mistrust in the system. There is a need to investigate the role of cognitive dissonance in vaccine refusal and the effectiveness of dissonance-based interventions to reduce vaccine hesitancy among individuals with high risk for severe disease and low vaccination rates.