Background: The advanced experience of implementing a value-based model in the practice of Moscow healthcare allowed us to identify a number of the most significant practices of its effectiveness, among which support for making an informed decision by the patient, as well as measuring satisfaction and analyzing the needs of patients were noted. In this regard, the transition of the entire national healthcare system to a value-based model requires the development of approaches to assessing the population’s compliance with such a transformation, taking into account socio-economic, demographic and psychological criteria. Aim: To consider possible predictors of the readiness of a social group of the population older than working age to transition to a value-based model of national health care. Materials and methods: A review of fundamental and modern works in the problem field was carried out. The empirical basis of the work was made up of data from the official website of the Federal Statistics Service with geographic coverage of the entire Russian Federation. Results: Analysis of data from a subjective assessment of the population's health on a national sample of the Russian Federation demonstrates the internal readiness of the population for a value-based healthcare model, despite the negative trends of aging. In the age groups 55-59, 60-64, 65-69, 70-74, 75-79, 80 and older, there is a general trend in assessing their health - the majority of respondents rated it as “satisfactory,” while the number of ratings was “very bad” is minimal. The positive dynamics of the formation of information and technical competence of the population 65+, who are experiencing difficulties in integrating into digital health services, is shown. Conclusion: The transition of national healthcare to a value-based model involves the active involvement of the patient and the formation of patient experience in assessing the outcome of medical care. In this regard, it is necessary to take into account the patient’s personal socio-psychological compliance profile, the elements of which determine the horizons of promising research in the problem field under consideration. As a possible patient profile module, a subjective assessment of health and an assessment of information technology competencies in a social group older than working age, whose work growth is determined by demographic realities, are used.
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