Analysis of Long-Term Dynamics of Performance Indicators for Regional 24-Hour Inpatient Facilities
https://doi.org/10.47619/2713-2617.zm.2025.v.6i3;7-19
Abstract
Introduction. Efficient use of bed capacity is a key element in improving the quality and accessibility of inpatient care. The “bed turnover” indicator reflects the intensity of bed utilization and is included among the indicators of national healthcare projects. The purpose is to analyze trends in the main performance indicators of 24-hour inpatient facilities in the Tyumen Region from 2013 to 2023 and to identify the determinants of changes in bed turnover. Materials and methods. A retrospective study was conducted using official statistical data from the Tyumen Region Department of Health and the Tyumen Regional Medical Information and Analytical Center (MIAC). Trends were assessed by absolute and relative changes; associations were examined using Spearman’s rank correlation (p<0.05). Results and conclusion. From 2013 to 2019, bed availability rate per 10 000 patients decreased from 66.1 to 59.3 (–10.29%), average length of stay declined from 10.11 to 9.84 days (–2.67%), and bed turnover increased from 33.1 to 34.0 (+2.72%). During the COVID-19 pandemic (2020–2021), average length of stay rose to 10.10 days and turnover fell to 33.3; by 2021 the turnover had recovered, rising up to 35.9. By the end of 2023, length of stay reached 8.8 days and bed turnover peaked at 38.4 patients. Correlation analysis revealed a strong negative association of bed turnover with both lengths of stay and bed availability and a positive association with bed occupancy and in-hospital mortality. Over the decade, the Tyumen Region increased bed utilization intensity: bed turnover rose by 16%, while average length of stay fell by 12%. The main drivers of these changes were reduced treatment durations and optimization of bed numbers.><0.05). Results and conclusion. From 2013 to 2019, bed availability rate per 10 000 patients decreased from 66.1 to 59.3 (–10.29%), average length of stay declined from 10.11 to 9.84 days (–2.67%), and bed turnover increased from 33.1 to 34.0 (+2.72%). During the COVID-19 pandemic (2020–2021), average length of stay rose to 10.10 days and turnover fell to 33.3; by 2021 the turnover had recovered, rising up to 35.9. By the end of 2023, length of stay reached 8.8 days and bed turnover peaked at 38.4 patients. Correlation analysis revealed a strong negative association of bed turnover with both lengths of stay and bed availability and a positive association with bed occupancy and in-hospital mortality. Over the decade, the Tyumen Region increased bed utilization intensity: bed turnover rose by 16%, while average length of stay fell by 12%. The main drivers of these changes were reduced treatment durations and optimization of bed numbers.
About the Authors
V. V. KostikovRussian Federation
Viktor V. Kostikov – Resident physician, Department of Public Health and Healthcare; Chief Specialist, Department of Organization and Control of Specialized Medical Care and Special Monitoring
54, Odesskaya ul., 625023, Tyumen
625023, Tyumen Region, Tyumen, Respubliki St., 169a, bldg. 1
A. A. Kurmangulov
Russian Federation
Albert A. Kurmangulov – Doctor of Medical Science, Associate Professor, Professor of the Department of Public Health and Healthcare
54, Odesskaya ul., 625023, Tyumen
N. S. Brynza
Russian Federation
Natalia S. Brynza – Doctor of Medical Sciences, Professor, Head of the Department of Public Health and Healthcare, Federal State Budgetary Educational Institution of Higher Education
54, Odesskaya ul., 625023, Tyumen
References
1. Pozhidaeva T.A., Shamraeva M.A., Fedchenko A.A. Analysis of the budgetary medical organization economic performance. Proceedings of Voronezh State University. Series: Economics and Management. 2020; 2:75-89. (In Russ.) https://doi.org/10.17308/econ.2020.2/2903
2. Zakharov D.A., Naberezhnaya I.B., Zakharova U.D. Analysis of the use of bed space in the leading regional health care institution. International Research Journal. 2022;11(125). (In Russ.) https://doi.org/10.23670/IRJ.2022.125.59
3. Suslin S.A., Vavilov A.V., Ginnyatullina R.I. Dynamics of Hospital Bed Utilization Indicators in a City Multidisciplinary Hospital. Bulletin of Smolensk State Medical Academy. 2019;18(1):194-201. (In Russ.)
4. Kurmangulov A.A., Kononykhin A.A., Brynza N.S. Problems of Standardization of Information Systems Operating in Russian Medical Organizations (Review). Healthcare Standardization Problems 2021;11-12:3- 13. (In Russ.) https://doi.org/10.26347/1607-2502202111-12003-013
5. Gadaborshev M.I., Levkevich M.M. Integral Assessment of the Performance of Departments in a Multidisciplinary Hospital. Journal of Siberian Medical Sciences. 2012;6. (In Russ.)
6. Karpov O.E., Nikitenko D.N., Fateev S.A., Dyachenko P.S. Medical Information System as a Tool of the Automation System of Designing of Hospital Bed’s Placing Structure. Bulletin of Pirogov National Medical&Surgical Center. 2016;11(2):91-96. (In Russ.)
7. Kovaleva M.Yu., Sukhorukikh O.A. Clinical Guidelines. History of Creation and Development in the Russian Federation and Abroad. Remedium. 2019;1-2:6-14. (In Russ.) https://doi.org/10.21518/1561-5936-2019-1-2-6-14
8. Taits B.M. The ways to resolve problems of forming reserve bed stock on purpose to decrease population mortality. Problems of Social Hygiene, Public Health and History of Medicine. 2023;31(5):1017-1020. (In Russ.) https://doi.org/10.32687/0869-866X-2023-31-5-1017-1020
9. Korkhmazov V.T. Dynamics of the main performance indicators of the hospital sector of the Russian healthcare system. ORGZDRAV: News, Views, Education. Bulletin of VSHOUZ. 2021;7(4):84-94. (In Russ.) https://doi.org/10.33029/2411-8621-2021-7-4-84-94
10. Keach J.W., Prandi-Abrams M., Sabel A.S., Hasnain-Wynia R., Mroch J.M. Reducing hospital length of stay: A multimodal prospective quality improvement intervention. Joint Commission Journal on Quality and Patient Safety. 2025;51(5):321-330. https://doi.org/10.1016/j.jcjq.2025.01.012
11. Hasan B., Bechenati D., Hannah M. A systematic review of length of stay linked to hospital-acquired falls, pressure ulcers, central line–associated bloodstream infections, and surgical site infections. Mayo Clinic Proceedings: Innovations, Quality & Outcomes. 2025;9(3):100607. https://doi.org/10.1016/j.mayocpiqo.2025.100607
12. Varzt S.A., Bubnova N.A., Gorelov A.I. et al. Urgent issues of organizing cooperative work between the outpatient and inpatient care sectors. Health – The Base of Human Potential: Problems and Ways To Solve Them. 2015;10(2):1051-1061. (In Russ.).
Supplementary files
Review
For citations:
Kostikov V.V., Kurmangulov A.A., Brynza N.S. Analysis of Long-Term Dynamics of Performance Indicators for Regional 24-Hour Inpatient Facilities. City Healthcare. 2025;6(3):7-19. (In Russ.) https://doi.org/10.47619/2713-2617.zm.2025.v.6i3;7-19

















