MODEL FOR PREDICTION AND PREVENTION OF ADVERSE PERINATAL OUTCOMES IN COVID-19 IN WOMEN

Relevance. The task of developing a model for predicting and preventing adverse perinatal outcomes in women with COVID-19 is relevant, which should provide an effective clinical solution taking into account individual and regional characteristics, which will contribute to reducing maternal and perinatal morbidity and mortality. Purpose. To create a tool for early identification of pregnant women with a high risk of complications in case of COVID-19 to reduce maternal and perinatal mortality, prevent adverse perinatal complications (using the example of Ivano-Frankivsk region).Materials and methods. The creation of a model for predicting and preventing adverse perinatal outcomes in case of COVID-19 in women is based on research using the bibliosemantic research method, the method of structural-logical analysis, analytical, statistical and conceptual methods, clinical, anamnestic and laboratory-instrumental methods, and questionnaires. Results. The medical and social justification, principles of formation and expected results of the implementation of the model of prediction and prevention of adverse perinatal consequences of COVID-19 in women are presented. The development and implementation of such a model can be carried out in 5 stages over 3 years: preparatory and analytical (1–2 quarters of the 1st year); creation and testing of a digital model (3–4 quarters of the 1st year); pilot implementation in the region (1–2 quarters of the 2nd year); scaling and integration (3–4 quarters of the 2nd year); effectiveness assessment and continuous improvement (3rd year and beyond). Model components: screening stage (at the primary level); prediction stage (secondary level); response stage (tertiary level); information support and monitoring. Conclusions. The practical implementation of the developed model allows improving the quality of medical care for pregnant women during the pandemic, optimizing the use of healthcare system resources, reducing the incidence of complications and improving perinatal outcomes even in conditions of limited resources.