About this Journal Publication ethics Editorial Board Editorial Council Editorial Office For the Authors Contacts
English

News feeds

Journal in Databases

eLIBRARY.RU - ÍÀÓ×ÍÀß ÝËÅÊÒÐÎÍÍÀß ÁÈÁËÈÎÒÅÊÀ

Google Scholar

Google Scholar

Main arrow Archive of previous Issues arrow ¹1 2015 (41) arrow ADAPTATING DALY CALCULATION FOR ANALYSIS OF HEALTH LOSS DUE TO NONFATAL CARDIOVASCULAR DISEASES
ADAPTATING DALY CALCULATION FOR ANALYSIS OF HEALTH LOSS DUE TO NONFATAL CARDIOVASCULAR DISEASES Print
Wednesday, 15 April 2015

Sabgayda T.P.1, Protasova N.P.2 Artuchov I.P.3
1 Federal Research Institute for Health Organization and Informatics of Ministry of Health of the Russian Federation, Moscow
2 Ministry of Health of the Krasnoyarsk Territory
3 V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk.

Abstract. WHO recommends to use DALY for determining population health status, however, the Russian data are not sufficient to calculate it. A simplified calculation method doesn’t provide for the expected results, which makes it relevant to search for ways to adapt the methodology for calculating DALY without its simplification.

The purpose of the study was to adapt DALY calculation methods to assess health loss related to nonfatal cardiovascular diseases.

Database of compulsory health insurance fund for residents of Krasnoyarsk seeking care in clinics and in hospitals was used. The length of cardiovascular diseases was assumed to be one year for outpatient and 15 days for hospital patients. Evaluation of the parameters' values for age weighting function was conducted during the study. Disability weight was taken to be 0.92 for all hospitalized patients. Adaptation of the DALY calculation method was carried out by determining parameters values of the original equation. The structure of cause and the age structure of patients as well as the average age of hospitalized patients by groups with different outcomes were calculated to determine the parameters values. On the basis of the adapted method we calculated the age and disease structure of health loss in outpatient and inpatient patients. Also, health loss due to morbidity and mortality were compared.

Conclusions. To estimate burden of disease of the Russian population it is advisable to use the adapted methodology for calculating DALY, wherein: the constant and parameter from the age weighting are C = 0.10 and β = 0.03; age weighting modulation factor K = 0.104; discount rate r = 0,03; life expectancy corresponds to 80 years for men and 87 years for women.

The algorithm for calculating the burden of cardiovascular diseases due to nonfatal health problems is not the same for different diseases and their groups. In some cases, age-adjusted disability weight should be set, and in other cases it is possible to use an average value for all age groups of patients. To prolong the employment period it is necessary to improve health promotion activities to reduce the excess health loss due to diseases of the circulatory system in age group 55-59. Methods of care delivery to patients with hypertension should be improved as well with a special focus on prevention among young men.

Keywords. Disability-Adjusted Life Years; years lost due to disability; burden of diseases of the circulatory system; age weighting of a year of healthy life; disability weight; discount rate for value of one year of healthy life; comparability of data on morbidity and mortality.

References

  1. Artyukhov I.P., Shul'min A.V., Dobretsova E.A., Kozlov V.V., Arshukova I.L. Ispol'zovanie pokazatelya DALY dlya otsenki mediko-demograficheskikh poter' naseleniya g. Krasnoyarska ot smertnosti, obuslovlennoy khronicheskoy obstruktivnoy bolezn'yu legkikh. [Assessment of health and demographic population losses caused by mortality from chronic obstructive pulmonary disease with using DALY indicator in Krasnoyarsk] Sotsial'nye aspekty zdorov'ya naseleniya [serial online] 2013 [cited 2015 Jan 30]; 34(6). Available from: http://vestnik.mednet.ru/content/blogcategory/20/53/lang,ru/content/view/504/30/lang,ru/http://vestnik.mednet.ru/content/view/527/30/lang,ru/ (in Russian).
  2. Vagin V.A. Kapitonenko N.A., Tropak T.I. Stoimost' «gruza bolezney» rabotnikov plavsostava. [The cost of "burden of disease" of crew ships workers]. Al'manakh sovremennoy nauki i obrazovaniya Tambov: Gramota; 2008;12(5):28-31. (in Russian).
  3. Dobretsova E.A., Shul'min A.V., Kozlov V.V., Arshukova I.L. Mediko-demograficheskie poteri naseleniya Krasnoyarskogo kraya ot khronicheskoy obstruktivnoy bolezni legkikh. [Health and demographic losses due to chronic obstructive pulmonary disease in Krasnoyarsk territory]. Meditsina i obrazovanie v Sibiri [serial online] 2012 [cited 2015 Jan 30];(3). Available from: http://www.ngmu.ru/cozo/mos/article/text_full.php?id=730 (in Russian).
  4. Ermakov S.P., Tsar'kov A.O., Antonyuk V.V. Otsenka tendentsiy i obshchaya kharakteristika pokazateley global'nogo bremeni bolezney Rossiyskogo naseleniya za 1965-2002 gg. (predvaritel'nye rezul'taty). [Assessment of tendencies and general characteristics of the global disease burden of Russian population in 1965-2002. (Preliminary results)]. Moscow: TsNIIOIZ, ISPI RAN; 2004. 96 p. (in Russian).
  5. Ermakov S.P., Cherkovets M.V. Prognozy sotsial'no-ekonomicheskikh i demograficheskikh poter' v godakh zdorovoy zhizni. [Prediction of socioeconomic and demographic losses in years of a healthy life]. [Online] 2013 Aug 16. [cited 2014 Nov 13]. Available from: http://knu.znate.ru/docs/index-559583.html (in Russian).
  6. Zukov R.A., Dykhno Yu.A., Shul'min A.V., Kozlov V.V. Otsenka mediko-demograficheskikh poter' naseleniya Krasnoyarskogo kraya ot smertnosti, obuslovlennoy rakom pochki. [Assessment of health and demographic population losses due to mortality from kidney cancer in Krasnoyarsk territory]. Sibirskiy onkologicheskiy zhurnal 2013;60(6):20-25. (in Russian).
  7. Korchagin V.P., Narozhnaya V.L. Opredelenie ekonomicheskogo ushcherba ot mediko-sanitarnykh posledstviy chrezvychaynykh situatsiy (lyudskie poteri). Metodicheskie rekomendatsii. [Definition of economic damage from the health consequences of emergencies (loss of human life). Guidelines]. Moscow: VTsMK «Zashchita»;; 1999. 45 p. (in Russian).
  8. Maksimova T.M. Sovremennoe sostoyanie, tendentsii i perspektivnye otsenki zdorov'ya naseleniya. [Current state, tendencies and projections for population health]. Moscow: PER SE, 2002. 192 p. (in Russian).
  9. Morev M.V. Lyubov E.B. Sotsial'no-ekonomicheskiy ushcherb vsledstvie smertnosti naseleniya ot samoubiystv. [Socioeconomic damage due to mortality from suicide]. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz 2011;18(6):119-130. (in Russian).
  10. Moseyko E.E. Otsenka sotsial'nykh i ekonomicheskikh poter' rossiyskogo obshchestva vsledstvie nizkogo urovnya nakopleniya kapitala zdorov'ya: metodika QALY/DALY [Assessment of the social and economic losses due to low level of health capital accumulation in Russian society: methods QALY / DALY]. Upravlenie ekonomicheskimi sistemami [serial online] 2013 [cited 2015 Jan 30];(5). Available from: http://uecs.ru/economika-truda/item/2158--qalydaly (in Russian).
  11. Natsional'nye rekomendatsii po kardiovaskulyarnoy profilaktike. [National guidelines for prevention of cardiovascular diseases]. Kardiovaskulyarnaya terapiya i profilaktika 2011;10(6) Suppl. 2: 1–64. (in Russian).
  12. Ob organizatsii v Rossiyskoy Federatsii sistemy federal'nykh statisticheskikh nablyudeniy po sotsial'no-demograficheskim problemam i monitoringa ekonomicheskikh poter' ot smertnosti, zabolevaemosti i invalidizatsii naseleniya: [On the organization of federal statistical surveys on the socio-demographic problems and monitoring of economic losses from mortality, morbidity and disability in population in the Russian Federation]. Postanovlenie Pravitel'stva Rossiyskoy Federatsii ot 27 noyabrya 2010 g. N 946. Art 5. ]. Rossiyskaya gazeta. Federal'nyy vypusk ¹5356 8 dekabrya 2010 [cited 2015 Jan 30]. Available from:http://www.rg.ru/2010/12/08/polozhenie-dok.html (in Russian).
  13. Rostom G.R. Adaptirovannyy dlya sub"ektov RF schet pokazatelya utrachennykh let zdorovoy zhizni [Indicator of lost years of healthy life adapted for the RF subjects]. Voprosy statistiki 2013; (10):36-40. (in Russian).
  14. Rybakovskiy L.L. Prakticheskaya demografiya DOC. [Practical demography DOC]. Moscow: TsSI: 2005. 199 p. (in Russian).
  15. Tabakaev M.V., Shapovalova E.B., Maksimov S.A., Artamonova G.V. Poterya zdorov'ya naseleniya goroda Kemerova ot infarkta miokarda za 2006–2012 gg. po indeksu DALY. [Population health losses from myocardial infarction by index DALY in Kemerovo for 2006-2012]. Kompleksnye problemy serdechno-sosudistykh zabolevaniy 2014; (1);21-25. (in Russian).
  16. Tsar'kov A.O. Metodologicheskie voprosy analiza bremeni bolezney naseleniya Rossii [Methodological issues in the analysis of the disease burden in Russian population]. Cand.Oec.Sci [dissertation]. Moscow; 2004. 211 p. (in Russian).
  17. Analysing mortality levels and causes-of-death (ANACoD). [Online]. 17 October 2014 [cited 2015 Jan 21]; Available from: http://www.who.int/healthinfo/anacod/en/
  18. Bikbov B, Perico N, Remuzzi G. Mortality landscape in the Global Burden of Diseases, Injuries and Risk Factors Study. Eur J Intern Med. 2014;25(1):1-5.
  19. Fox-Rushby JA, Hanson K. Calculating and presenting disability adjusted life years (DALYs) in cost-effectiveness analysis. Health policy and Planning 2001;16(3):326- 331.
  20. Life tables by country Japan. Global Health Observatory Data Repository. [Online]. 2014 [cited 2014 Oct 3]; Available from: http://apps.who.int/gho/data/?theme=main&vid=60820
  21. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL, editors. Global Burden of Disease and Risk Factors. World Bank: Oxford University Press USA; 2006. 552 p.
  22. Murray CJL. Quantifying the burden of disease: the technical basis for disability – adjusted life years. Global comparative assessments in the health sector. Geneva: WHO. 1994. P. 3-19.
  23. Murray CJL, Lopez AD, Jamison DT. The global burden of disease in 1990: summary results, sensitivity analysis and future directions. WHO Bulletin OMS 1994;72:495-509.
  24. Murray CJL. Lopez AD. Estimating Causes of Death: New Methods and Global and Regional Applications for 1990. In: Murray CJL and Lopez AD, editors. The Global Burden of Disease. Vol. 1 of Global Burden of Disease and Injury Series. Cambridge. MA: Harvard University Press. 1996. P. 117–200.
  25. Murray CJL, Ezzati M, Flaxman AD, Lim S, Lozano R, Michaud C, Naghavi M et al. GBD 2010: a multi-investigator collaboration for global comparative descriptive epidemiology. The Lancet 2012;380(9859):2055–2058.
  26. Naghavi M, Murray CJL, Lopez AD, Vos T, Wang H, Lozano R, Achoki T at al. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet 2015;385(9963):117–171.
  27. Soerjomataram I, Lortet-Tieulent J, Parkin M, Ferlay J, Mathers C, Forman D, Bray F. Global burden of cancer in 2008: a systematic analysis of disability-adjusted life-years in 12 world regions. The Lancet 2012;380(9856):1840 – 1850.
  28. Sudhir A, Jonson K. Disability Adjusted Life Year: A Critical Review. Journal of Health Economics 1997;6(16):685-702.
  29. World health report 2002: Reducing risks, promoting healthy life. Geneva: World Health Organization; 2002.
  30. World health report 2004: Changing history. Geneva: World Health Organization; 2004.

Views: 15970

Be first to comment this article

Write Comment
  • Please keep the topic of messages relevant to the subject of the article.
  • Personal verbal attacks will be deleted.
  • Please don't use comments to plug your web site. Such material will be removed.
  • Just ensure to *Refresh* your browser for a new security code to be displayed prior to clicking on the 'Send' button.
  • Keep in mind that the above process only applies if you simply entered the wrong security code.
Name:
E-mail
Comment:

Code:* Code

Last Updated ( Wednesday, 15 April 2015 )
< Prev   Next >
home contact search contact search