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DIAGNOSTICS OF REGIONAL HEALTHCARE MANAGEMENT SYSTEM IN RUSSIA BASING ON MODELING AND FORECASTING OF HEALTH AND DEMOGRAPHIC INDICATORS
- Authors: Gnezdova Y.V.1, Idilov I.I.2, Bataev S.M.3, Bataev S.S.4
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Affiliations:
- Smolensk State University, Russian Federation
- M.D. Millionshtchikov Grozny State Oil Technical University, Russian Federation
- N.I. Pirogov Russian National Research Medical University, Moscow, Russian Federation
- H.I. Ibragimov Complexity Research Institute, RAS, Grozny, the Chechen Republic, Russian Federation
- Issue: Vol 70, No 3 (2015)
- Pages: 341–347
- Section: HEALTH CARE MANAGEMENT
- Published: 10.06.2015
- URL: https://vestnikramn.spr-journal.ru/jour/article/view/40
- DOI: https://doi.org/10.15690/vramn.v70i3.1331
- ID: 40
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Abstract
Background: Justification of the study direction of public health improving is quite general. But the identification of the most effective indicators of the healthcare system improvement remains unexplored. Objective: Our aim was to determine the interaction between the basic demographic indicators of the region (Smolensk region) and efficacy endpoints of the Healthcare management identified in the study. Methods: The study reviewed the demographic changes of the Smolensk region at present and the forecast for 2015, 2016, 2017. The forecast of demographic and health indicators was based on exponential smoothing models and autoregressive model. Results: The study identified the most appropriate medical and demographic indicators. 1) The ratio of physicians (per 10,000 people in population, the rate maximum was 62 in 2004, in 2015 this figure has fallen to 52, and it is supposed to decrease to 49 by 2017). 2) The overall mortality rate (per 1000 people in population). Reduction of the resident population of the Smolensk region is 8.2 thousand people in annual average. This fact shows a stable depopulation of the region. 3) The average load on the ambulance. It has been found that the increase and decrease of these parameters directly affect the population rate. Conclusion: The study revealed a stable downtrend of average resident population number which confirms the long regional depopulation. It is associated in particular with the lack of stimulation of the health and demographic indicators’ increase including but not limited to inefficient healthcare management arrangements.
About the authors
Yu. V. Gnezdova
Smolensk State University, Russian Federation
Author for correspondence.
Email: iuliy_67@mail.ru
доктор экономических наук, профессор кафедры экономики Смоленского государ-
ственного университета, главный научный сотрудник Научно-экспертного центра НИИ СП
Адрес: 214000, Смоленск, ул. Пржевальского, д. 4, тел.: +7 (481) 252-85-06
I. I. Idilov
M.D. Millionshtchikov Grozny State Oil Technical University, Russian Federation
Email: dr_idilov_ibrag@mail.ru
доктор экономических наук, профессор Грозненского государственного нефтяного тех-
нического университета им. акад. М.Д. Миллионщикова
Адрес: 364051, Грозный, ул. Авторханова, д. 14/53, тел.: +7 (871) 222-21-70
S. M. Bataev
N.I. Pirogov Russian National Research Medical University, Moscow, Russian Federation
Email: khassan-2@yandex.ru
доктор медицинских наук, заведующий торакоабдоминальным отделом НИИ
хирургии детского возраста РНИМУ им. Н.И. Пирогова
Адрес: 117997, Москва, ул. Островитянова, д. 1, тел.: +7 (499) 254-40-01
S. S. Bataev
H.I. Ibragimov Complexity Research Institute, RAS, Grozny, the Chechen Republic, Russian Federation
Email: said-bataev@yandex.ru
аспирант Комплексного научно-исследовательского института им. Х.И. Ибрагимова РАН
Адрес: 364051, Чеченская Республика, Грозный, ул. Авторханова, д. 14/53, тел.: +7 (871) 222-21-70,
тел.: +7 (495) 654-55-93
References
- Box J., Jenkins G. Analiz vremennykh ryadov. Prognoz i upravlenie. Vyp. I. [Time Series Analysis. Forecast and control. Issue 1]. Moscow: Mir; 1974. 406 p.
- Dubrov A.M., Mkhitaryan V.S., Troshin L.I. Mnogomernye statisticheskie metody. Uchebnik [Multivariate Statistical Methods. Textbook]. Moscow: Finansy i statistika; 2003. 352 p.
- Khalafyan A.A. STATISTICA 6. Statisticheskii analiz dannykh. 3-e izd. Uchebnik [STATISTICA 6. Statistical Analysis of Data. 3rd ed. Textbook]. Moscow: Binom-Press; 2007. 512 p.
- Durand B., Odell P. Klasternyi analiz. Per. s angl. E.Z. Demidenko. Pod red. A.Ya. Boyarskogo [Cluster Analysis. Trans. from English. E.Z. Demidenko. Edited by A.Ya. Boyarsky]. Moscow: Statistika; 1977. 128 p.
- Eliseeva I.I., Kurysheva S.V., Kosteeva T.V., Babaeva I.V., Mikhailov B.A. Ekonometrika [Econometrics]. Moscow: Finansy i statistika; 2001. 576 p.
- Tikhonov E.E. Metody prognozirovaniya v usloviyakh rynka. Uchebnoe posobie [Forecasting Methods in Market Conditions. Tutorial]. Nevinnomyssk; 2006. 221 p.
- Prokhorov B.B., Ivanova E.I., Shmakov D.I., Shcherbakova E.M. Mediko-demograficheskoe prognozirovanie. Uch. pos. [Medical and Demographic Forecasting. Tutorial]. Moscow: MAKS Press; 2011. 360 p.
- Shmoilova R.A, Minashkin V.G. Teoriya statistiki. Uchebnik. Pod red. N.A. Sadovnikova, E.B. Shuvalova, V.G. Shmoilovoi. 5-e izd. [Theory of Statistics. Textbook. Edited by N.A. Sadovnikov, E.B. Shuvalov, V.G. Shmoilova. 5th edition]. Moscow: Finansy i statistika; 2009. 656 p.
- Idilov I.I., Sagov A.I., Isaev T.M. Menedzhment v zdravookhranenii: regional'nye osobennosti, sistemnye integratsii, innovatsionnye resheniya [Health Care Management: Regional Features, System Integration, Innovative Solutions]. Moscow: Izdatel'sko-torgovaya kompaniya «Dashkov i K°»; 2013. 382 p.
- Lavrushin V.M., Minashkin V.G. Statisticheskii analiz dinamiki i struktury nalogovykh postuplenii. Uch. pos. [Statistical Analysis of the Dynamics and Structure of Tax Revenue. Tutorial]. Moscow: MGUESI; 2005. 69 p.
- Teoretiko-metodologicheskie podkhody k formirovaniyu sistemy razvitiya predpriyatii, kompleksov, regionov. Pod obshch. red. V.V. Bondarenko [Theoretical and Methodological Approaches to the Formation of the Development of Enterprises, Systems and Regions. Edited by V.V. Bondarenko]. Penza: RIO PGSKhA; 2014. 131 p.
- Babeshko L.O. Osnovy ekonometricheskogo modelirovaniya. Uch. pos. [Basics of Econometric Modeling. Tutorial]. Moscow: KomKniga; 2006. 432 p.
- Idilov I.I., Sagov A.I. Principles of regional health development. Voprosy ekonomiki i prava = Issues of economics and law. 2012;2:176–178.
- Yunkerov V.I., Grigor'ev S.G. Matematiko-statisticheskaya obrabotka dannykh meditsinskikh issledovanii [Mathematical and Statistical Processing of Medical Research]. St. Petersburg: VMedA; 2002. 266 p.
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