Use of nonparametric data analysis for assessing the efficiency of municipal medical institutions of the region

• Published in: Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics
• Main Authors: Кутышкин, Андрей Валентинович, Шульгин, Олег Валерьевич
• Format: Article in Journal/Newspaper
• Language: Russian
• Published: South Ural State University 2023
• Subjects: data envelopment analysis (DEA); medical efficiency; medical institutions; benchmark medical institutions; regional healthcare system; оболочечный анализ данных; медицинская эффективность; медицинские учреждения; учреждения «лидеры-ориентиры»; региональная система здравоохранения; khanty
• Online Access: https://vestnik.susu.ru/ctcr/article/view/12852; https://doi.org/10.14529/ctcr230105

The effectiveness of medical institutions is usually assessed by indicators characterizing the economic, medical and social aspects of their activities. Indicators of medical effectiveness (ME) reflect the achievement of certain medical results with the optimal use of available resources, both for a particular patient, and for a medical institution and the regional healthcare system as a whole. The ME estimates are relevant and in demand both by internal consumers – the management of institutions and the healthcare system, and by external consumers who finance it. To assess the ME of medical municipal institutions, it is proposed to use the Data Envelopment Analysis (DEA) of data characterizing the results of their functioning and recorded by the current system of medical statistics. This method does not require the identification of functional relationships between the results of the activities of medical institutions and the resources they consume. Aim. Determination using the method of shell analysis of data on the medical effectiveness of municipal medical institutions of the Khanty-Mansiysk Autonomous Okrug – Ugra based on standard statistical data on the results of their activities. Materials and methods. The classical input-oriented model with a constant scale of return of the Data Envelopment Analysis (DEA) method was used to evaluate the medical effectiveness. The input indicators of this model characterize the main types of resources used by the medical institution. The indicators of the total number of temporary disability sheets issued to the residents of the municipality, the completeness of coverage by mandatory medical examinations of the population of the municipality and the load indicators of hospitals and outpatient departments of the medical institution were taken as days off. To ensure comparability, input and output indicators were recalculated per 1000 inhabitants of the municipality. The evaluation of the medical efficiency of municipal medical institutions was carried out in the MaxDEA 8 ...