METHODIC APPROACHES TO ASSESSING THE INDIVIDUAL QUALITY OF LIFE OF COAL INDUSTRY WORKERS WITH OCCUPATIONAL DISEASES

The goal is to improve the quality of medical care for occupational diseases of the musculoskeletal system using non – steroidal anti-inflammatory drugs in the formation of health for employees of the coal industry. Materials and methods. The object of research in the study of this problem is represented by employees of the coal industry with occupational diseases of the musculoskeletal system (n = 400). The following research methods were used: content analysis, descriptive, information and analytical, marketing, sociological (questionnaires, expert assessment methods), mathematical and statistical, QOL research methodology includes key components: selection of the research tool; data collection; database formation; questionnaire data scaling; statistical data processing; analysis and interpretation of results. Results. A modified method for assessing the individual quality of life of employees in the coal industry, based on the definition of quality of life proposed by who, has been developed. It is established that one of the main factors determining the quality of life of coal industry workers is a subjective assessment of health, which proves the importance of assessing quality of life as an integral indicator closely related to health, which allows using this method in preventive medicine. The leading factors of low quality of life of coal industry workers are concern for their health and the quality of socialization. PZ from the influence of physical factors have a negative impact on the physical and psychosocial status of employees, the degree of which is determined by the subjective characteristics of patients [4-6]. Conclusion. Quality of life research is a fundamentally new method that allows us to study the multidimensional picture of the patient's subjective experiences caused by the disease. Integrated information about the physical, psychological, spiritual, and social aspects of the disease allows you to identify individual characteristics of the patient's response to the disease, evaluate the effectiveness of treatment in a particular patient based on individual monitoring data, and use this data to correct the treatment and prevention program.