Saratov JOURNAL of Medical and Scientific Research

Application of multivariate statistical analysis for evaluation of management of ophthalmological care to the population of the Orenburg region

Year: 2019, volume 15 Issue: №2 Pages: 568-572
Heading: Ophtalmology Article type: Original article
Authors: Chuprov A.D., Lositsky A.O., Trubnikov V.A.
Organization: Orenburg branch of S. Fedorov Eye Microsurgery Federal State Institution
Summary:

The purpose of this study was to identify and study clusters (groups) of medical organizations of the Orenburg region with similar parameters, refecting the level of organization of ophthalmic care to the population. Material and Methods. The proposed method of evaluation is based on the use of the method of multivariate statistical analysis of the structure and activity of ophthalmological units of primary health care of the Russian Federation, with the allocation of groups of structures under research with similar evaluation characteristics and graphic representation of the results. Evaluation criteria are: availability of specialized ophthalmological care for the population, stafng level, overall and primary disease incidence, incidence on separate nosological groups, general and primary disability indicators. Results. Based on the data representative of the organization of ophthalmic care 50 medical organizations of the Orenburg region, providing primary health care were divided into 3 clusters. Indicators of the ophthalmic care management for each of the clusters were characterized. Conclusion. The results of the study allow us to identify groups of medical organizations that require diferent approaches in management decision-making in order to improve the ophthalmological service of an individual subject of the Russian Federation.

Bibliography:
1 Neroev VV. Organization of ophthalmological care for the population of the Russian Federation. The Russian Annals of Ophthalmology 2014; 130 (6): 8–12
2 Nazaryan MG, Arbukhanova PM. Analysis of primary disability due to eye diseases. Vestnik Tyumenskogo gosudarstvennogo universiteta: Ecology and Nature Management 2015; 1 (1): 164–71
3 Kurkin MA, Kretova MS. Analysis of resourcing indicators of medical care of the ophthalmological profle in the region. Young Scientist 2015; 10 (90): 700–3
4 Kumar V. Analysis of the incidence of eye diseases in the population of India and the main lines of the development of eye care: DSc diss. Moscow, 2006; 267 p.
5 Novolodskii AI, Shchuko AG, Taevskiy BV, et al. Modern technologies in assessing the conformity of the activity of the regional ophthalmological service to the requirements of the procedure for rendering medical care. Tambov University Bulletin. Series: Natural and Technical Sciences 2014; 19 (4): 1193–5
6 Yablonskaya LYa. Comprehensive assessment of the organization of ophthalmological assistance to the population in rural municipal structures of the Sverdlovsk region. Oftalmologiya 2006; 3 (1): 89–92
7 Nikiforova EB. Clinical and epidemiological analysis of ocular morbidity, disability and inpatient ophthalmologic care to the population of the Samara region for 2010–2014. Orenburg State University Bulletin 2015; 12 (187): 160–6
8 Sakhnov SN. Improving the organization of eye care based on a system analysis of the eye diseases morbidity. Integrative Trends in Medicine and Education 2017; 4: 17
9 Ponomarev V P, Beloglazova IYu. Application of factor and cluster statistical analysis in medicine. In: Perspective information technologies: Works of the International Scientifc and Technical Conference. Samara, 2016; p. 589–92
10 Osadchaya IA, Berestneva OG. Methods of structure investigation of multidimensional experimental data. Current Issues of Science and Education 2013; 1: 161

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