Remote assessment of treatment adherence based on the KP-25 questionnaire: a new telemedicine tool for remote compliance analysis

Aim – creation of a computer program using a modern programming language that allows remote assessment of patient treatment adherence based on the national KP-25 scale. Material and methods. The program we developed was implemented using the modern programming language Python 3.8. This electronic assistant allows the user to automatically collect and systematize compliance data, conduct statistical analysis and store patient survey data. All these processes, depending on the operator’s goals, can be carried out using local and cloud servers. If it is necessary to transfer data remotely, the program has the functionality to ‘depersonalize’ data about the respondent, which ensures safe and correct accumulation and storage of data. Results. The program allows the user to evaluate 6 technical indicators calculated using formulas: importance of drug therapy, importance of medical support, importance of lifestyle modification, readiness for drug therapy, readiness for medical support, readiness for lifestyle modification. Calculation using integrated formulas also allows the user to display the result of the commitment calculation on the user’s screen in four aspects: 1) commitment to lifestyle modification, 2) commitment to drug therapy, 3) commitment to medical support, 4) integral commitment to treatment. After the end of testing, the program saves the patient’s answers to an Excel file located in the root folder of the program in the form of percentages, which are generated depending on the patient’s response in accordance with the classical algorithm for interpreting the results of the questionnaire using integrated formulas. Conclusion. This software product can potentially be used in the scientific process in conducting cohort and population-based studies aimed at assessing compliance in routine medical practice, as well as integrated into existing and promising medical information systems.