The effect of avoidable mortality on life expectancy in Serbia, 2010-2019

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Ivan Marinković

Abstract

Avoidable mortality is defined as death that could have been avoided by adequate and timely healthcare and public health and prevention measures. The method measures the efficiency of the health system by quantifying premature deaths (0-74) from certain causes. The analysis of avoidable mortality in Serbia, including both amenable and preventable mortality, covers the period from 2010 to 2019. The results for Serbia have shown that the contribution of specific mortality rates by age is mostly positive and that in the second decade of the 21st century, we can see a trend of increasing life expectancy (LE). The decomposition of life expectancy by age groups, sex, and cause of death showed that most positive contributions relate to the reduction of avoidable mortality (about 70%). Observed by gender, the reduction in avoidable mortality rates is higher in men, especially in middle-aged people, where gains in LE are over 80%. In women, the share of avoidable mortality by age in changes in LE is usually around 70%. Avoidable mortality rates in Serbia remain relatively high compared to the rest of Europe, but there is a positive shift. The fact that the probability of avoidable mortality in the male population at birth in Serbia is about 30% (18% for women) shows that there is much room for improvement. With the hypothetical elimination of avoidable mortality, the increase in LE in men could be 6.3 years, and in women 3.9. Amenable and preventable mortality rates are always higher in the male population, but the reduction in standardised values is more intense in men in Serbia. Standardised preventable mortality rates have been declining faster than standardised amenable mortality rates in Serbia. Since the male population is significantly more burdened with preventable causes of death, the possibility of reduction is higher. Diseases and conditions that can be prevented by adequate healthcare showed a steady decrease in mortality rates by sex in the observed period, while the main difference observed in avoidable mortality is the result of a greater shift in preventable mortality in men. The most significant positive trend in the reduction of avoidable mortality is in cardiovascular diseases and violent deaths. At the beginning of the observed period, cardiovascular diseases had a higher share than cancer, but 10 years later the situation changed, and cancer became the most significant cause of avoidable mortality in Serbia, with an increasing trend. Malignant neoplasm of the trachea, bronchi, and lungs is the most common disease that can be avoided, while ischemic heart disease is in second place. Data from the 10-year period (2010 to 2019) show that respiratory diseases, infectious and contagious diseases, and addiction have a clear growth trend, as does cancer. The most significant positive trend in the reduction of avoidable mortality is in cardiovascular diseases and violent death. Diseases that can be treated and prevented by lifestyle changes and regular check-ups can significantly extend life expectancy in Serbia. Investing in the healthcare system pays off many times over because the costs of treating an individual are reduced in the long run, and that person can potentially contribute more to the community in good health over the years.

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How to Cite
Marinković, I. (2022). The effect of avoidable mortality on life expectancy in Serbia, 2010-2019. Stanovnistvo, 60(1), 53–68. https://doi.org/10.2298/STNV220403001M
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References

Andreev, E. M., Nolte, E., Shkolnikov, V. M., Varavikova, E., & McKee, M. (2003). The evolving pattern of avoidable mortality in Russia. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyg085

Arriaga, E. E. (1984). Measuring and explaining the change in life expectancies. Demography, 21(1), 83–96. http://www.jstor.org/stable/2061029

Bahk, J., & Jung-Choi, K. (2020). The Contribution of Avoidable Mortality to the Life Expectancy Gains in Korea between 1998 and 2017. International Journal of Environmental Research and Public Health, 17(18), 6499. https://doi.org/10.3390/ijerph17186499

Dávila-Cervantes, C., & Agudelo-Botero, M. (2018). Changes in life expectancy due to avoidable and non-avoidable deaths in Argentina, Chile, Colombia and Mexico, 2000-2011. Cadernos de Saúde Pública, 34(6). https://doi.org/10.1590/0102-311x00093417

Dicker, D., Nguyen, G., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., … Murray, C. J. L. (2018). Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 392 (10159), 1684–1735. https://doi.org/10.1016/S0140-6736(18)31891-9

Eun, S. J. (2019). Avoidable, amenable, and preventable mortalities in South Korea, 2000–2017: Age-period-cohort trends and impact on life expectancy at birth. Social Science & Medicine, 237, 112482. https://doi.org/10.1016/j.socscimed.2019.112482

Eurostat (2020). Statistical office of the European Union. https://ec.europa.eu/eurostat/statistics-explained/index.php/Preventable_and_treatable_mortality_statistics

Gispert, R., Serra, I., Bares, M. A., Puig, X., Puigdefabregas, A., & Freitas, A. (2008). The impact of avoidable mortality on life expectancy at birth in Spain: changes between three periods, from 1987 to 2001. Journal of Epidemiology & Community Health, 62(9), 783–789. https://doi.org/10.1136/jech.2007.066027

Grabauskas, V., Gaižauskienė A., Sauliūnė S., & Mišeikytė, R. (2011). Trends in avoidable mortality in Lithuania during 2001-2008 and their impact on life expectancy. Medicina (Kaunas). 47(9), 504–511. PMID: 22156602.

Kiadaliri, A. (2021). Avoidable deaths in Sweden, 1997–2018: temporal trend and the contribution to the gender gap in life expectancy. BMC Public Health 21, 519. https://doi.org/10.1186/s12889-021-10567-5

Mackenbach, J. P., Bouvier-Colle, M. H., & Jougla, E. (1990). Avoidable Mortality and Health Services: A Review of Aggregate Data Studies. Journal of Epidemiology and Community Health 44 (2): 106–111. https://doi.org/10.1136/jech.44.2.106.

Marinković, I. (2017). Pušenje kao osnovni faktor preventabilne smrtnosti u Srbiji. Stanovništvo, LV, No 1/2017, pp 87–106. https://doi.org/10.2298/STNV170610001M

Marinković, I. (2021). Demografska analiza uticaja zdravstvene zaštite i javnog zdravlja na trendove smrtnosti stanovništva Srbije, Institut društvenih nauka, Beograd. ISBN 978-86-7093-241-8

Marinković, I., & Radivojević, B. (2016). Mortality trends and depopulation in Serbia. Geographica Pannonica, 20(4), 220–226. https://doi.org/10.18421/GP20.04-04

Mourgova, M. (2016). The Impact of Avoidable Mortality on the Life Expectancy in Bulgarian Population. European Journal of Interdisciplinary Studies, 2(2), 213–217. https://doi.org/10.26417/ejis.v2i2.p279-283

Mühlichen, M. (2019). Avoidable Mortality in the German Baltic Sea Region Since Reunification: Convergence or Persistent Disparities? European Journal of Population, 35(3), 609–637. https://doi.org/10.1007/s10680-018-9496-y

Nolte, E., & McKee, C. M. (2008). Measuring the health of nations: Updating an earlier analysis. Health Affairs, 27(1), 58–71. https://doi.org/10.1377/hlthaff.27.1.58

Nolte, E., & McKee, M. (2003). Measuring the health of nations: Analysis of mortality amenable to health care. British Medical Journal, 327(7424), 1129–1132. https://doi.org/10.1136/bmj.327.7424.1129

Nolte, E., & McKee, M. (2004). Does Health Care Save Lives? Avoidable Mortality Revisited. Analysis. Nuffield Trust, London, UK., ISBN: 1902089944, 139 pp. https://www.nuffieldtrust.org.uk/research/does-healthcare-save-lives-avoidable-mortality-revisited

Nolte, E., Scholz, R., Shkolnikov, V., & McKee, M. (2002). The contribution of medical care to changing life expectancy in Germany and Poland. Social Science and Medicine, 55(11), 1905–1921. https://doi.org/10.1016/S0277-9536(01)00320-3

ONS (2018). Office for National Statistics – ONS. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/causesofdeath/bulletins/avoidablemortalityinenglandandwales/previousReleases

Page, A., Tobias, M., Glover, J., Wright, C., Hetzel, D., & Fisher, E. (2006). Australian and New Zealand Atlas of Avoidable Mortality. Phidu. Retrieved from http://www.publichealth.gov.au/pdf/atlases/avoid_mortality_aust_2006/avoid_mortality_ch1_intro.pdf

Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography – Measuring and modeling population processes. New Jersey: Wiley-Blackwell.

Rutstein, D. D., Berenberg, W., Chalmers, T. C., Child, C. G., Fishman, A. P., ... Perrin, E. B. (1976). Measuring the Quality of Medical Care: A Clinical Method. New England Journal of Medicine, 294(11), 582–588. https://doi.org/10.1056/NEJM197603112941104

Subedi, R., Greenberg, T. L., & Roshanafshar, S. (2019). Does geography matter in mortality? An analysis of potentially avoidable mortality by remoteness index in Canada. Health Reports, 30(5), 3–15. https://doi.org/10.25318/82-003-x201900500001-eng

Tobias, M., & Yeh, L.-C. (2009). How much does health care contribute to health gain and to health inequality? Trends in amenable mortality in New Zealand 1981-2004. Australian and New Zealand Journal of Public Health, 33(1), 70–78. https://doi.org/10.1111/j.1753-6405.2009.00342.x

Wojtyniak, B., & Stokwiszewski, J. (2020). Contribution of avoidable causes of death to premature mortality in Poland and selected European countries. Studia Demograficzne, 2(178), 11–34. https://doi.org/10.33119/SD.2020.2.4