Objective: This research explores the intention of using health chatbots in Online Health Communities from sociomaterial and sustainability perspectives. The study examines the influence of variables and moderators like Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Fear of Technological Advancements, and Patient acceptance and Trust on users’ intentions and their actual or potential use of these communities. The research acknowledges the interplay between materiality and the social environment in shaping technology usage while also considering sustainability within this context. Materials and Methods: A quantitative methodological approach was used to investigate users' behavior and intentions toward AI conversational agents/chatbots in OHCs. The UTAUT model was selected because it is well-established for assessing technology acceptance and usage behavior. It was extended to include additional variables relevant to the context of OHCs and AI technologies. Data collection was conducted via an online survey, which was distributed across various online platforms and networks to reach a diverse audience. The survey received 443 complete responses from participants spanning 62 different countries, providing a rich and diverse dataset for analysis. Conclusion: Our current focus on sustainability variables is being expanded to include several new aspects. The new variables pertain to the cost-effectiveness of AI implementation in healthcare, Patient Outcomes, User experience, and long-term viability to help us understand how AI technologies impact aspects like diagnosis accuracy, medical error reduction, and treatment plans.