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The purpose of the study: to develop a methodology for predicting the level of patient satisfaction, taking into account socio-economic determinants. Materials and methods of research. The method-ology is based on calculating the sum of diagnostic coefficient values for each of the three degrees of satisfaction (high, medium and low). The list of information elements, information about which should be used when predicting the level of patient satisfaction with medical care provided on an outpatient basis, included 9 items. Each of these positions contained two alternative values. Four ranges are de-fined for each of the eleven features. The DC value is defined for each of the ranges. If it was impos-sible to determine the range, the DC value was taken as zero. To check the adequacy of the proposed methodology, an author’s program was written in Excel and with the help of it, the total DC for each patient was calculated. A verification database was used for the control. Conclusion. As a result of the study, diagnostic “thresholds” were identified, which were called “decision-making thresholds” used to classify a particular patient to a conditional degree of satisfaction: high, medium and low. This de-gree of satisfaction was due solely to a set of socio-economic determinants of the patient and had nothing to do with the quality of the organization of medical care provided on an outpatient basis. That is, this is the degree of satisfaction that the patient would most likely express with the standard quality of the organization of medical care, taking into account the influence of socio-economic determinants. Improving the quality of the organization of medical care would naturally lead to an increase in its as-sessment, and a decrease in the quality of the organization of medical care, respectively, to a decrease in the assessment. The proposed methodology allows to take into account the influence of socio-economic determinants on the assessment of the level of satisfaction and allows to standardize patients in terms of their demographic and socio-economic characteristics.
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Черкасов et al. (2023) studied this question.
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