Features of the Application of the Methodology of Direct Standardization in the Comparative Analysis of Demographic Indicators in the Subjects of the Russian Federation

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Abstract

Background. The calculation and comparison of medical and demographic indicators in the context of the subjects of the Russian Federation and the country is not only a scientific, but also an applied tool for assessing the effectiveness of public policy measures, regional programs and the health system. The use of intensive indicators for comparing the subjects of the Russian Federation with each other is incorrect. To do this, it is more correct to use standardized values, since this eliminates the influence of differences in the gender-age composition of aggregates on the magnitude of the compared intensive indicators.

Aims — to conduct a comparative analysis of demographic indicators in the subjects of the Russian Federation using common and standardized coefficients on the example of mortality from the main causes.

Methods. In this work, the method of direct standardization was applied using Rosstat data on the average annual population of the Russian Federation and data on the number of deaths from various causes for the period 1990–2021. The actual structure of the average annual population in the analysis was replaced by a standardized one calculated based on the European Standard of the population structure of 2013.

Results. Since the European Standard for the Age Structure of the Population (ESP 2013) is currently the closest to the age structure of the population of the Russian Federation, it is recommended to use it when calculating standardized coefficients. Based on the example of assessing the mortality rates of the population in the context of the subjects of the Russian Federation, intensive indicators were initially calculated, which are presented in the form of a rating scale. When analyzing the rating of the subjects of the Russian Federation with the highest indicators of standardized mortality from all causes in 2022, the highest-ranking places were occupied by regions that previously showed “imaginary well-being” (when calculating total mortality), and a detailed assessment of which was not required. When calculating the indicators of general and standardized mortality of the population due to diseases of the circulatory system, followed by the compilation of ratings of subjects of the Russian Federation with the highest and lowest mortality rates, six subjects of the Russian Federation who were in the rating of subjects for the highest indicators of total mortality, after recalculation on standardized coefficients dropped out of it. A similar situation was observed when calculating the indicators of general and standardized mortality of the population from neoplasms, followed by the compilation of ratings of the subjects of the Russian Federation with the highest and lowest indicators.

Conclusions. Thus, using the methodology of direct standardization at the federal level allows comparing the subjects of the Russian Federation with each other on several medical and demographic indicators.

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About the authors

Valeriya P. Chigrina

Russian Research Institute of Health

Author for correspondence.
Email: chigrinavp@mednet.ru
ORCID iD: 0000-0002-5044-4836
SPIN-code: 5138-3084

Leading Specialist

Россия, Moscow

Ivan A. Solomatnikov

Russian Research Institute of Health

Email: solomatnikovia@mednet.ru
ORCID iD: 0000-0002-7013-9054
SPIN-code: 7071-1095

Main Specialist

Россия, Moscow

Olga V. Khodakova

Russian Research Institute of Health

Email: khodakovaov@mednet.ru
ORCID iD: 0000-0001-8288-939X
SPIN-code: 2314-6974

MD, PhD, Main Specialist

Россия, Moscow

Ivan A. Deev

Ministry of Health of the Russian Federation

Email: deevia@mednet.ru
ORCID iD: 0000-0002-4449-4810
SPIN-code: 2730-0004

MD, PhD, Director of the Department of Monitoring, Analysis and Strategic Development of Healthcare

Россия, Moscow

Olga S. Kobyakova

Russian Research Institute of Health

Email: kobyakovaos@mednet.ru
ORCID iD: 0000-0003-0098-1403
SPIN-code: 1373-0903

MD, PhD

Россия, Moscow

References

  1. Федеральный закон от 21.11.2011 № 323-ФЗ «Об основах охраны здоровья граждан в Российской Федерации». [Federal'nyj zakon ot 21.11.2011 No. 323-FZ “Ob osnovah ohrany zdorov'ya grazhdan v Rossijskoj Federacii”. (In Russ.)]
  2. Указ Президента РФ от 21.07.2020 № 474 «О национальных целях развития Российской Федерации на период до 2030 года». [Ukaz Prezidenta RF ot 21.07.2020 No. 474 "O nacional'nyh celyah razvitiya Rossijskoj Federacii na period do 2030 goda". (In Russ.)]
  3. Единый план по достижению национальных целей развития Российской Федерации на период до 2024 года и на плановый период до 2030 года. [Edinyj plan po dostizheniyu nacional'nyh celej razvitiya Rossijskoj Federacii na period do 2024 goda i na planovyj period do 2030 goda. (In Russ.)]
  4. Паспорт национального проекта «Здравоохранение» (утв. президиумом Совета при Президенте РФ по стратегическому развитию и национальным проектам, протокол от 24.12.2018 № 16). [Pasport nacional'nogo proekta "Zdravoohranenie" (utv. prezidiumom Soveta pri Prezidente RF po strategicheskomu razvitiyu i nacional'nym proektam, protokol ot 24.12.2018 No. 16). (In Russ.)]
  5. Паспорт национального проекта «Демография» (утв. президиумом Совета при Президенте РФ по стратегическому развитию и национальным проектам, протокол от 24.12.2018 № 16). [Pasport nacional'nogo proekta "Demografiya" (utv. prezidiumom Soveta pri Prezidente RF po strategicheskomu razvitiyu i nacional'nym proektam, protokol ot 24.12.2018 No. 16). (In Russ.)]
  6. Бойцов С.А., Самородская И.В. Сравнение показателей смертности в субъектах РФ: роль возрастной структуры населения // Менеджер здравоохранения. — 2014. — № 4. – С. 13–19. [Bojcov S.A., Samorodskaya I.V. Sravnenie pokazatelej smertnosti v sub"ektah RF: rol’ vozrastnoj struktury naseleniya. Menedzher zdravoohraneniya. 2014;4:13–19. (In Russ.)]
  7. Бойцов С.А., Самородская И.В., Третьяков В.В. Градиент смертности населения в возрасте 40–59 лет в субъектах Российской Федерации // Вестник Российской академии медицинских наук. — 2014. — Т. 69. — № 7–8. — С. 106–111. [Boytsov SA, Samorodskaya IV, Tretyakov VV. Gradient of Mortality of Persons Aged 40–59 in Regions of the Russian Federation. Annals of the Russian Academy of Medical Sciences. 2014;69(7–8):106–111. (In Russ.)]
  8. Tripepi G, Jager KJ, Dekker FW, et al. Stratification for confounding — part 2: direct and indirect standardization. Nephron Clin Pract. 2010:116(4):c322–c325. doi: https://doi.org/10.1159/000319591
  9. Рыбаковский О.Л., Таюнова О.А. Рождаемость населения России и демографические волны // Народонаселение. — 2017. — № 4. — С. 56–66. [Rybakovskij OL, Tayunova OA. Rozhdaemost’ naseleniya Rossii i demograficheskie volny. Narodonaselenie. 2017;4:56–66. (In Russ.)] doi: https://doi.org/10.26653/1561-7785-2017-4-4
  10. Коротаев А.В., Зинькина Ю.В., Халтурина Д.А. Перспективы демографической динамики России. Анализ и моделирование мировой и страновой динамики: методология и базовые модели. — М.: Учитель, 2015. — С. 192–240. [Korotaev AV, Zin’kina YuV, Halturina DA. Perspektivy demograficheskoj dinamiki Rossii. Analiz i modelirovanie mirovoj i stranovoj dinamiki: metodologiya i bazovye modeli. Moscow: Uchitel’, 2015. S. 192–240. (In Russ.)]
  11. European Commission. Eurostat. Revision of the European Standard Population: report of Eurostat’s task force; 2013th ed. LU: Publications Office; 2013.
  12. Ahmad OB, Pinto CB, Lopez AD. Age Standardization of Rates: A New WHO Standard. GPE Discussion Paper Series; 2021. No 31. P. 10-12.
  13. Waterhouse JAH, Muir CS, Correa P, Powell J. (eds.) Cancer incidence: in 5 continents. Lyon: IARC; 1976. Vol. 3. P. 456.

Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Age and sex structure of the population of the Russian Federation in 1991 and 2022, according to Rosstat data

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3. Fig. 2. Average age of the population of the Russian Federation for 1991–2022, according to Rosstat, years

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4. Fig. 3. Differences in the age and sex structure of the population between Subjects 1 and 2, according to Rosstat data on the average annual population for 2022.

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5. Fig. 4. Differences in the age and sex structure of the deceased population between Subjects 1 and 2, according to Rosstat data on the number of deaths from all causes in 2022, people

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6. Fig. 5. World Health Organization Age Structure Standards

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