Description Module

Description Module

The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.

Description Module path is as follows:

Study -> Protocol Section -> Description Module

Description Module


Ignite Creation Date: 2026-03-26 @ 3:19 PM
Ignite Modification Date: 2026-03-26 @ 3:19 PM
NCT ID: NCT07416734
Brief Summary: The goal of this clinical trial is to find out whether an app-based program called HeartBot II, which uses an artificial intelligence (AI) chatbot, can help improve women's awareness and knowledge of heart attacks in women. This is an online study with about 200 women taking part. Participants will be randomly assigned (by chance) to one of two groups: an intervention group or a wait-list control group. Participants in the intervention group will begin using the HeartBot II program right away. Participants in the wait-list control group will wait 12 weeks before starting the HeartBot II program. The HeartBot II program includes four short modules. In each module, participants will interact with a chatbot and spend about 10 to 15 minutes completing the content. Participants will be asked to complete an online screening and baseline survey at the start of the study, as well as two follow-up surveys at 12 weeks and 24 weeks.
Detailed Description: We conducted a series of studies to evaluate the feasibility, acceptability, and potential efficacy of an AI chatbot (HeartBot I) in increasing women's awareness and knowledge of heart attack symptoms and appropriate care-seeking behavior. The results of those studies and HeartBot I design details were published elsewhere. In brief, HeartBot I was feasible (i.e., no withdrawal from HeartBot I conversation) and accepted by women, and its interactions were significantly associated with improvements in awareness and knowledge of all heart attack outcomes. However, since HeartBot I was a rule-based chatbot, its behavior and responses were limited to content authored specifically for HeartBot I conversations. To improve HeartBot I's capacity, we incorporated all women's heart attack and relevant questions collected in our previous studies and expanded its knowledge bank to enable more educational conversations. To achieve more human-like natural and personalized conversations, we implemented a new version of HeartBot (HeartBot II) powered by an LLM, specifically gemini-2.5-flash through the Google Conversational Agents platform.
Study: NCT07416734
Study Brief:
Protocol Section: NCT07416734