Mortality dynamics and scope of high technology medical care availability: regional specificities

Abstract

In recent years, the demographic situation in Russia has been demonstrating a positive downward trend in the mortality rate. However, this rate is still much higher than in developed European countries. Social policies of the Russian State are increasingly focused on reducing the level of mortality, morbidity, and disability, as well as enhancing the availability and quality of medical care, especially the high-tech medical services. Effective use of the potential availability in the regional medical organizations, as well as building momentum in high-tech medical care, which would be equivalent to services provided in the federal medical centers, will help bring high-tech medical services closer to the population, thereby contributing to the improvement of access to such services. Development of this type of medical care will in the future yield medical and social results enhancing the quality of life, preserving the health of citizens, and consolidating results achieved in demographic policies.

The objective of this study was to explore regional characteristics of the mortality rate dynamics and maturity of high-tech medical care services.

Research methods involved statistical, system, and comparative analyses.

Results of in-depth statistical series analyses of the mortality rate and structure carried out in the Astrakhan region in 2010 through 2017 were correlated with the scope of high-tech medical care provided as a whole and in separate fields of medicine. Correlation analysis of results was carried out, and results revealed a strong inverse correlation between factors under study (r_х/y/у=−0.85; m_r±0.22) with a significance test value of 3.9 (p>99%).

Diseases of the circulatory system rank first in the list of mortality causes, while in the structure of the high-tech medical care, cardiovascular pathologies account for the greatest proportion of services provided; thus, revealing a strong inverse correlation (r_х/y=−0.77; m_r±0.26) with the significance test value of 3.0 (p>95%).

Keywords

mortality / circulatory system diseases / neoplasms / external factors / specialization / statistical series / correlation analysis

References

[1] Belov VB, Rogovina AG. The basic medical demographic indicators of population health of Russia up to 2013. Problemy sotsial’noy gigieny, zdravookhraneniya i istorii meditsiny. 2014;22(6):18-22. (in Russian)

[2] Белов В.Б., Роговина А.Г. Основные медико-демографические показатели здоровья населения России к 2013 г. Проблемы социальной гигиены, здравоохранения и истории медицины. 2014;22(6):18-22.

[3] On measures aimed at improving the availability and quality of high-tech medical care. Available at: http://government.ru/info/9136 (accessed 28.05.2020). (in Russian)

[4] О мероприятиях, направленных на повышение доступности и качества оказания высокотехнологичной медицинской помощи. URL: http://government.ru/info/9136 (дата обращения: 28.05.2020).

[5] On decisions following the meeting of the Presidium of the Council under the President of the Russian Federation on the implementation of priority national projects and a demographic policy on the development of high-tech medical care. Available at: http://government.ru/orders/selection/401/9570/ (accessed 28.05.2020). (in Russian)

[6] О решениях по итогам заседания президиума Совета при Президенте Российской Федерации по реализации приоритетных национальных проектов и демографической политике о развитии высокотехнологичной медицинской помощи. URL: http://government.ru/orders/selection/401/9570/ (дата обращения: 28.05.2020).

[7] Abramenko LV, Kartashev VN, Kolyado VB, Kolyado EV, Nasonov SV, Tribunskiy SI. Theoretical aspects of government regulation of high-tech medical care. Sibirskiy meditsinskiy zhurnal (Irkutsk). 2016;142(3):33-6. (in Russian)

[8] Абраменко Л.В., Карташев В.Н., Колядо В.Б., Колядо Е.В., Насонов С.В., Трибунский С.И. Теоретические аспекты государственного регулирования высокотехнологичной медицинской помощи. Сибирский медицинский журнал (Иркутск). 2016;142(3):33-6.

[9] Perkhov VI, Kireev SA, Akhmedov ShD. History, reality and perspectives of rendering free of charge hightechnology medical aid for the population of Russian Federation. Part I. Sibirskiy meditsinskiy zhurnal (Tomsk). 2009;24(1):63-6. (in Russian)

[10] Перхов В.И., Киреев С.А., Ахмедов Ш.Д. История, реальность и перспективы обеспечения населения Российской Федерации бесплатной высокотехнологичной медицинской помощью. Часть 1. Сибирский медицинский журнал (г. Томск). 2009;24(1):63-6.

[11] Rybalchenko IE. State assignments on providing high technology medical care: departmental and regional aspects. Menedzher zdravookhraneniya. 2013;(2):3-42. (in Russian)

[12] Рыбальченко И.Е. Государственные задания по оказанию высокотехнологичной медицинской помощи: ведомственные и региональные аспекты. Менеджер здравоохранения. 2013;(2):3-42.

[13] Naberezhnaya IB, Zakharov DA, Naberezhnaya ZhB. Providing high-tech medical care at the regional level. Elektronnyy nauchno-obrazovatel’nyy vestnik Zdorov’e i obrazovanie v XXI veke. 2017;19(12):212-3. (in Russian)

[14] Набережная И.Б., Захаров Д.А., Набережная Ж.Б. Оказание высокотехнологичной медицинской помощи на региональном уровне. Электронный научно-образовательный вестник Здоровье и образование в XXI веке. 2017;19(12):212-3.

[15] Office of the Federal State Statistics Service for the Astrakhan Region and the Republic of Kalmykia. Official statistics. Available at: https://astrastat.gks.ru/folder/41523 (accessed 28.05.2020). (in Russian)

[16] Управление Федеральной службы государственной статистики по Астраханской области и республике Калмыкия. Официальная статистика. URL: https://astrastat.gks.ru/folder/41523 (дата обращения: 28.05.2020).

[17] Rebrova OYu. Statistical analysis of medical data. Using STATISTICA application package. [Statisticheskiy analiz meditsinskikh dannykh. Primenenie paketa prikladnykh programm STATISTICA]. Moscow: Media Sfera; 2006. (in Russian)

[18] Реброва О.Ю. Статистический анализ медицинских данных. Применение пакета прикладных программ STATISTICA. М.: Медиа Сфера; 2006.

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