STUDY OF THE ASSESSMENT OF SUBJECTIVE WELL-BEING AND QUALITY OF LIFE OF CITIZENS INCLUDED IN THE LONG-TERM CARE SYSTEM USING THE TELEGRAM BOT

The article presents a rationale for improving the practice of using online questionnaires in the format of a mini-program (Telegram bot) in the Telegram messenger for the needs of social services for the population. Aim. Identification of the level of subjective well-being of citizens included in the long-term care system; analysis of factors affecting the level of subjective well-being; development of recommendations for improving social and medical support for citizens. Data on the subjective wellbeing of citizens included in the long-term care system were collected through a questionnaire in the Telegram bot. The analysis was carried out using the following models: linear regression, random forest and support vector method (SVM). This allowed for establishing links between factors of emotional state, social activity and satisfaction with services and the overall perception of quality of life. The results obtained provide an accurate and reliable assessment of subjective well-being, minimizing the impact of social and physical barriers, and can be used to further develop programs to support and improve the quality of life in the long-term care system. The study also lays the foundation for further monitoring of the well-being of citizens in long-term care system and improving digital tools for assessing their condition.