Purpose of the study. Epidemiological analysis of frailty among older adults using a chatbot on the Telegram messenger platform. Materials and methods: The analysis included 107 individuals aged 60 and older who completed the chatbot survey. The study assessed the prevalence of frailty, prefrailty, and specific geriatric syndromes within the sample, as well as parameters such as frequency of doctor appointments, number of hospitalizations, presence of chronic diseases, and the level of awareness and understanding of this condition among the population. Results: Frailty was presumed to be present in 15.9% of study participants, while probable prefrailty was identified in 22.4%. At the same time, at least one geriatric syndrome was observed in 86.0% of individuals aged 60 and above. Additionally, 50.5% of respondents had heard of the term “frailty”, but 59.8% misunderstood it, considering it a normal part of aging. Respondents from Moscow and St. Petersburg were more likely than others to correctly state that frailty syndrome is not a natural aspect of the aging process. Conclusion: The use of a chatbot improves the efficiency of data collection and processing for epidemiological analysis. The results obtained indicate that the prevalence data of the identified syndromes among respondents are comparable to those from statistical studies. Although half of the respondents are aware of this condition, their understanding of frailty syndrome is often inaccurate, which is a concerning trend that highlights the need to improve health literacy in the population. Therefore, the digital tool used in this study may serve as an effective method for conducting screening research and monitoring awareness of frailty syndrome and prefrailty.

frailty, mass screening, chatbot, digital technologies, geriatrics, gerontology, elderly.