Bulletin of Semashko National Research Institute of Public HealthBulletin of Semashko National Research Institute of Public Health2415-84102415-8429FSSBI «N.A. Semashko National Research Institute of Public Health»290510.69541/NRIPH.2025.02.014Научная статьяPractical use of a chatbot for frailty screeningZakharovaAlena S.as_zakharova@bk.ruIvanitskayaEleonora Е.iee@kkgvv.ruGoldbergArcadiy S.goldarcadiy@gmail.comTregubPavel P.tregub.pavel.asmu@gmail.comFSBEI HE “Prof. V. F. Voino-Yasenetsky Krasnoyarsk State Medical University” of the Ministry of Healthcare of the Russian Federation, 660022, Krasnoyarsk, Russian Federation2RSBHI “Krasnoyarsk Regional Hospital for Veterans of War”, 660062, Krasnoyarsk, Russian Federation3FSBEI CPE “Russian Medical Academy of Continuing Professional Education” of the Ministry of Health of the Russian Federation, 125993, Moscow, Russian Federation4FSBEI HE “First Moscow State Medical University named after I. M. Sechenov” of the Ministry of Health of the Russian Federation, 119048, Moscow, Russian Federation4FSBI “Central Research Institute of Epidemiology” of the Federal Service for Surveillance on Consumer Rights Protection and Human Well-being, 111123, Moscow, Russian Federation200720252788401082025Copyright © 2025,2025Purpose 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, elderlyсиндром старческой астении, массовый скрининг, чат-бот, цифровые технологии, геронтология, гериатрия, старшее поколениеТкачева О. Н., Котовская Ю. В., Рунихина Н. К., Фролова Е. В., Наумов А. В., Воробьёва Н. М., Остапенко В. С., Мхитарян Э. А., Шарашкина Н. В., Тюхменев Е. А., Переверзев А. П., Дудинская Е. Н. Клинические рекомендации «Старческая астения». Российский журнал гериатрической медицины. 2025;1(21):6—48. DOI: 10.37586/2686-8636-1-2025-6-48Турушева А. В., Фролова Е. В., Богданова Т. А. 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