FEATURES OF LABOUR PRODUCTIVITY MEASUREMENT IN MEDICAL ORGANIZATIONS OF THE KEMEROVO REGION – KUZBASS
Abstract and keywords
Abstract (English):
The article is devoted to the problem of measuring labor productivity in healthcare. In the absence of a generally accepted standard for evaluating this indicator, the study uses a quantitative approach based on the analysis of the visits and doctors numbers dynamics in medical organizations of the Kemerovo Region. The purpose of the study is to analyze the dynamics and make a forecast of the medical personnel productivity. The authors use general scientific methods of analysis and synthesis, logical analysis; for data analysis standard methods of descriptive statistics were used. The forecast model is compiled by time series analysis using a cross-platform software package for econometric analysis Gretl. Materials for analysis included domestic and foreign literature, regulatory documentation for 2011–2021, as well as data of the Federal State Statistics Service. The authors present the experience of evaluating the medical personnel productivity of the Kemerovo Region – Kuzbass, reveal negative dynamics of the indicator, and make a forecast of its development. The article demonstrates various views of scientists and researchers on the problem of quantitative analysis of social workers performance and actualizes the problem of further analysis of the medical personnel labor productivity based on the methodology of multivariate analysis.

Keywords:
labour efficiency, doctors, Kemerovo Region – Kuzbass, managerism, visits number, medical labour economics
Text
Text (PDF): Read Download
References

1. Isham A., Mair S., Jackson T. Worker wellbeing and productivity in advanced economies: re-examining the link. Ecological Economics, 2021, 184. https://doi.org/10.1016/j.ecolecon.2021.106989

2. Kaye E. C., Abramson Z. R., Snaman J. M., Friebert S. E., Baker J. N. Productivity in pediatric palliative care: measuring and monitoring an elusive metric. Journal of Pain and Symptom Management, 2017, 53(5): 952-961. https://doi.org/10.1016/j.jpainsymman.2016.12.326

3. Kovalev V. V., Dyatlov A. V. The ideology of managerialism in Russian social institutions: education, science, healthcare. Vestnik universiteta, 2023, (7): 24-32. (In Russ.) https://doi.org/10.26425/1816-4277-2023-7-24-32

4. Zelnick J. R., Abramovitz M. The perils of privatization: bringing the business model into human services. Social Work, 2020, 65(3): 213-224. https://doi.org/10.1093/sw/swaa024

5. Park T.-Y., Eaglesham R., Shaw J. D., Burton M. D. Beyond productivity: incentive effects on alternative outcomes research in personnel and human resources management. Research in personnel and human resources management, eds. Buckley M. R., Wheeler A. R., Baur J. E., Halbesleben J. R. B. Leeds: Emerald Publishing Limited, 2021, 40: 99-131. https://doi.org/10.1108/S0742-730120220000040004

6. Kasherininov Y. R. Evaluation of the quality of medical care in a multiprofile federal center. Arterialnaya Gipertenziya, 2009, 15(2): 170-180. (In Russ.) https://www.elibrary.ru/lspfev

7. Thompson Jr. A. A., Strickland III A. J. Strategic management: concepts and cases. Moscow: Viliams, 2007, 928. (In Russ.)

8. Popsuyko A. N., Batsina E. A., Morozova E. A., Artamonova G. V. Defining the ontological status of labour productivity in health care. Russian Economic Journal, 2021, (6): 43-65. (In Russ.) https://doi.org/10.33983/0130-9757-2021-6-43-65

9. Zarova E. V., Kryuchkova P. V., Musikhin S. N. Assessment methods of the labour productivity growth target parameters achievement. M.: INFA-M, 2017, 74. (In Russ.) https://www.elibrary.ru/zrpxqn

10. Stolbov K. L., Savchenko I. A. Actual problems of assessing the productivity of workers in the social sphere. Nauchnyi zhurnal Diskurs, 2017, (4): 90-95. (In Russ.) https://www.elibrary.ru/yjmozf

11. Tatuev A. A., Pochinok N. B. Service sector: future system challenges. Social’naya politika i sociologiya, 2021, 20(1): 22-34. (In Russ.) https://doi.org/10.17922/2071-3665-2021-20-1-22-34

12. Butala N. M., Hidrue M. K., Swersey A. J., Singh J. P., Weilburg J. B., Ferris T. G., Armstrong K. A., Wasfy J. H. Measuring individual physician clinical productivity in an era of consolidated group practices. Healthcare, 2019, 7(4). https://doi.org/10.1016/j.hjdsi.2019.02.001

13. Johannessen K. A., Kittelsen S. A. C., Hagen T. P. Assessing physician productivity following Norwegian hospital reform: a panel and data envelopment analysis. Social Science & Medicine, 2017, 175: 117-126. http://dx.doi.org/10.1016/j.socscimed.2017.01.008

14. Polozhentseva Yu. S., Mushtenko N. S., Khomutinnikova A. D. Analysis of health system effectiveness: main development trends and prospects for modernization. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment, 2020, 10(3): 123-139. (In Russ.) https://www.elibrary.ru/qdgcfc

15. Krapivin V. A., Kochkurova E. A., Kochkurov A. S. Basic socio-economic aspects of health care system development in the Nizhny Novgorod Region. Fundamental research, 2019, (11): 83-88. (In Russ.) https://www.elibrary.ru/mrnfxi

16. Reprintseva E. V. Health care development in Kursk region: social and economic aspects. Innov: elektronnyi nauchnyi zhurnal, 2017, (3). (In Russ.) https://www.elibrary.ru/zhelyd

17. Vlasova O. A. On the implementation of personnel policy in medical organizations of the Kursk region. Regionalnyi vestnik, 2019, (19): 49-51. (In Russ.) https://www.elibrary.ru/xcvajc

18. Pochkin E. O., Shvakov E. E. Development of the regional health system in the conditions before and after the COVID-19 pandemic. Ekonomicheskoe razvitie regiona: upravlenie, innovatsii, podgotovka kadrov, 2021, (8): 194-197. (In Russ.) https://www.elibrary.ru/sdlidg

19. Yaghoubi M., Salimi M., Meskarpour-Amiri M. Systematic review of productivity loss among healthcare workers due to Covid-19. The International Journal of Health Planning and Management, 2022, 37(1): 94-111. https://doi.org/10.1002/hpm.3351

20. Jessup R. L., Bramston C., Beauchamp A., Gust A., Cvetanovska N., Cao Y., Haywood C., Conilione P., Tacey M., Copnell B., Mehdi H., Alnasralah D., Kirk M., Zucchi E., Campbell D., Trezona A., Haregu T., Oldenburg B., Stockman K., Semciw A. I. Impact of COVID-19 on emergency department attendance in an Australia hospital: a parallel convergent mixed methods study. BMJ Open, 2021, 11. http://dx.doi.org/10.1136/bmjopen-2021-049222

21. Erus B., Hatipoglu O. Physician payment schemes and physician productivity: analysis of Turkish healthcare reforms. Health Policy, 2017, 121(5): 553-557. https://doi.org/10.1016/j.healthpol.2017.02.012

22. Pourmahmoud J., Bagheri N. Uncertain Malmquist productivity index: An application to evaluate healthcare systems during COVID-19 pandemic. Socio-Economic Planning Sciences, 2023, 87A. https://doi.org/10.1016/j.seps.2023.101522

23. Kim Y., Oh D. H., Kang M. Productivity changes in OECD healthcare systems: bias-corrected Malmquist productivity approach. The International Journal of Health Planning and Management, 2016, 31(4): 537-553. https://doi.org/10.1002/hpm.2333

24. Chai P., Zhang Y., Zhou M., Liu S., Kinfu Y. Health system productivity in China: a comparison of pre- and post-2009 healthcare reform. Health Policy and Planning, 2020, 35(3): 257-266. https://doi.org/10.1093/heapol/czz157

25. Uzyakova E. S. Labor productivity and opportunities for economic growth. ECO, 2020, (6): 87-110. (In Russ.) https://doi.org/10.30680/ECO0131-7652-2020-6-87-110


Login or Create
* Forgot password?