Email this article The method of integral evaluation of the efficiency of the neurosurgical clinic based on the assessment of the degree of achievement of key performance indicators
- Authors: Usachev D.Y.1, Nazarenko A.G.2, Konovalov N.A.1, Dokukin A.A.3, Sharipov O.I.1, Kalinin P.L.1, Shults M.A.1, Sychev A.A.1, Baranich A.I.1
-
Affiliations:
- Burdenko National Medical Research Center for Neurosurgery
- Priorov National Medical Research Center for Traumatology and Orthopedics
- Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences
- Issue: Vol 30, No 2 (2023)
- Pages: 175-185
- Section: Original study articles
- URL: https://medbiosci.ru/0869-8678/article/view/254200
- DOI: https://doi.org/10.17816/vto352509
- ID: 254200
Cite item
Full Text
Abstract
BACKGROUND: The efficiency of a modern clinic, including neurosurgery, is traditionally assessed through the prism over a set of indicators. However, a common approach to assessing the effectiveness of medical and preventive institutions and a corresponding set of universal private indicators that allow comparing them with each other are not available.
OBJECTIVE: To evaluate the efficacy of a neurosurgical clinic through a quality indicator perspective using the goal attainment scale.
MATERIALS AND METHODS: Eleven key indicators (target categories) were selected for the integral results assessment of the neurosurgical clinic. Calculated indicators were evaluated using a special scale — the goal achievement scale developed by Kiresyuk and Sherman.
RESULTS. Based on continuous analysis conducted on the key work parameters in the Neurosurgery Center from 2014 to 2021, the target indicators were “weighed” and indicators ("0") were formed, relative to which the degree of goal achievement was subsequently assessed (from "+2" to "–2"). The level required to achieve the targets was calculated in the web application. The results of the clinic's work in 2021 have significantly improved by some indicators (number of performed operations, postoperative mortality, respiratory and urinary system infections, surgical wound infections (meningitis) per 100 ICU patients with severe complications), while the indicators of surgical activity, bloodstream infections and the number of revisions have deteriorated.
CONCLUSION. Qualitative and quantitative indicators of a modern clinic can be systematically analyzed to assess the effectiveness of its work using a scale for goal achievement. This scale integration into a web application makes it possible to easily and quickly obtain information about the degree of goal achievement in a real-time mode and makes it possible to conduct external benchmarking.
Full Text
##article.viewOnOriginalSite##About the authors
Dmitry Yu. Usachev
Burdenko National Medical Research Center for Neurosurgery
Email: DOusachev@nsi.ru
ORCID iD: 0000-0002-9811-9442
SPIN-code: 6618-0420
MD, Dr. Sci. (Med.), Academician of RAS, Neurosurgeon
Russian Federation, MoscowAnton G. Nazarenko
Priorov National Medical Research Center for Traumatology and Orthopedics
Email: nazarenkoag@cito-priorov.ru
ORCID iD: 0000-0003-1314-2887
SPIN-code: 1402-5186
MD, Dr. Sci. (Med.), Professor of RAS, Traumatologist-Orthopedist
Russian Federation, MoscowNikolai A. Konovalov
Burdenko National Medical Research Center for Neurosurgery
Email: NAKonovalov@nsi.ru
ORCID iD: 0000-0003-0824-1848
SPIN-code: 9436-3719
MD, Dr. Sci. (Med.), Corresponding Member of RAS, Neurosurgeon
Russian Federation, MoscowAlexander A. Dokukin
Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences
Email: dalex@ccas.ru
Cand. Sci. (Phys.-Math.), Senior Researcher
Russian Federation, MoscowOleg I. Sharipov
Burdenko National Medical Research Center for Neurosurgery
Author for correspondence.
Email: osharipov@nsi.ru
ORCID iD: 0000-0003-3777-5662
SPIN-code: 3279-0844
MD, Cand. Sci. (Med.), Neurosurgeon
Russian Federation, MoscowPavel L. Kalinin
Burdenko National Medical Research Center for Neurosurgery
Email: PKalinin@nsi.ru
ORCID iD: 0000-0001-9333-9473
SPIN-code: 1775-7421
MD, Dr. Sci. (Med.)
Russian Federation, MoscowMaria A. Shults
Burdenko National Medical Research Center for Neurosurgery
Email: MShults@nsi.ru
ORCID iD: 0000-0002-1727-5102
SPIN-code: 4250-6871
MD, Cand. Sci. (Med.), Neurosurgeon
Russian Federation, MoscowAlexander A. Sychev
Burdenko National Medical Research Center for Neurosurgery
Email: ASichev@nsi.ru
ORCID iD: 0000-0002-0038-1005
SPIN-code: 1171-7690
MD, Dr. Sci. (Med.)
Russian Federation, MoscowAnastasia I. Baranich
Burdenko National Medical Research Center for Neurosurgery
Email: abaranich@nsi.ru
ORCID iD: 0000-0002-1167-0742
MD, Cand. Sci. (Med.)
Russian Federation, MoscowReferences
- Kiresuk TJ, Sherman RE. Goal attainment scaling: A general method for evaluating comprehensive community mental health programs. Community Ment Health J. 1968;4(6):443–453. doi: 10.1007/BF01530764
- Zidarov D, Poissant L, Sicotte C. Healthcare executives’ readiness for a performance measurement system: A rehabilitation hospital case study. Journal of Hospital Administration. 2014;3(4):157–172. doi: 10.5430/jha.v3n4p157
- Ahluwalia SC, Damberg CL, Silverman M, Motala A, Shekelle PG. What Defines a High-Performing Health Care Delivery System: A Systematic Review. The Joint Commission Journal on Quality and Patient Safety. 2017;43(9):450–459. doi: 10.1016/j.jcjq.2017.03.010
- Taraskina YuV. Indicators of business processes as a basis for evaluating the effectiveness of an organization. Bulletin of the Astrakhan State Technical University. Series: Economics. 2015;(4):15–22. (In Russ).
- Turenko TA. Methodological approaches to assessing the effectiveness and efficiency of healthcare based on official statistics. Izvestiya Irkutsk State Academy of Economics. 2013;(4):120–125. (In Russ).
- Cantor VJ, Poh KL. Integrated Analysis of Healthcare Efficiency: A Systematic Review. J Med Syst. 2018;42(1):1–23. doi: 10.1007/s10916-017-0848-7
- Hadji B, Meyer R, Melikeche S, Escalon S, Degoulet P. Assessing the relationships between hospital resources and activities: a systematic review. Journal of Medical Systems. 2014;38(10):127. doi: 10.1007/s10916-014-0127-9
- Nazarenko AG. The choice of optimal surgical tactics for degenerative diseases of the lumbosacral spine using an information and analytical system and computer modeling [dissertation]. Moscow; 2012. Available from: https://new-disser.ru/_avtoreferats/01005093867.pdf?ysclid=lkwl77r8dt931864027 (In Russ).
- Nazarenko AG, Ivanov IV, Shchesyul AG, Shimansky VN, Savin IA, Gadzhieva OA, Ershova ON, Matueva NM, Konovalov NA, Shultz MA, Danilov GV, Sosnin AD, Baranich AI, Sharipov OI. Monitoring of triggers of adverse events as a tool for quality management of medical care in a neurosurgical clinic. Invitation to a discussion. Questions of neurosurgery. 2019;83(6):35–43. (In Russ). doi: 10.17116/neiro20198306135/
- Nazarenko AG, Usachev DYu, Konovalov NA, Tanyashin SV, Sharipov OI, Shultz MA, Kalinin PL. Analysis of key indicators of the quality of the neurosurgical clinic. Quality management in medicine. 2021;(1):97–103. (In Russ).
- Lichiello P, Turnock BJ. Guidebook for Performance Measurement. 1999. Available from: https://www.phf.org/resourcestools/Documents/pmcguidebook.pdf
- Wolk A, Dholakia A, Kreitz K. Building a Performance Measurement System. Cambridge: Root Cause; 2009.
- Nazarenko GI. Goal-setting in clinical practice. N.N. Priorov Journal of Traumatology and Orthopedics. 2008;15(4):3–10. (In Russ).
- Petlenko VP, Baranovsky AYu. Methodological foundations of forecasting in medicine. Clinical medicine. 1992;70(1):3–8. (In Russ).
- Ryazanov VV. Logical patterns in recognition problems (parametric approach). Computational Mathematics and Mathematical Physics. 2007;47(10):173–1808. (In Russ). doi: 10.1134/S0965542507100120
- March JG, Sutton RI. Organizational performance as a dependent variable. Organization Science. 1997;8(6):697–706. doi: 10.1287/orsc.8.6.698
Supplementary files
