ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND

Authors

  • Irina Pahomii PhD student , Department of Demography and Geodemography, Faculty of Science, Charles University, Prague, Czechia, National Institute for Economic Research, Moldova https://orcid.org/0000-0002-6595-9146

DOI:

https://doi.org/10.36004/nier.es.2023.1-04

Keywords:

premature mortality, PYLL, lifespan disparity, age threshold.

Abstract

Premature mortality is a highly intricate concept, and despite its extensive exploration in specialized literature, a universally agreed-upon definition remains elusive. This study seeks to compare two distinct models of premature mortality analysis in order to determine the more appropriate approach within the national context. The relevance of this study is underscored by the observed mortality rates in Moldova, particularly the concern surrounding adult male mortality.

To achieve this objective, a comparison was conducted involving the following indicators: the proportion of deaths before a specific age threshold, Potential Years of Life Lost (PYLL), disparity in lifespans, and age thresholds derived from lifespan disparity. The analysis primarily adopts a comparative approach, and as such, data from Czechia and Sweden were employed for this purpose.

In the context of Moldova, identifying a universally accepted set of indicators to effectively monitor premature mortality proves to be a complex task. Conventional indicators are susceptible to variations caused by age and population structure. The application of standardization methods can mitigate the impact of these factors. Alternatively, the "dynamic" approach indicators are less influenced by age and population structure, yet their methodology is more intricate, posing challenges for interpretation. Nonetheless, the establishment and promotion of such an indicator set are undeniably imperative.

It is noteworthy that the selection of indicators for monitoring premature mortality is influenced by prevailing scientific or actuarial interests, as well as the specific goals outlined for the analysis.

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References

Andreev, E. (2021). Is life expectancy at birth really the best measure of a population’s mortality rate? Demograficheskoye obozreniye, 8(2), 6-26.

Committee on Population; National Research Council. (2015). Data Sources and Methodology in the Study of Premature Mortality. Measuring the Risks and Causes of Premature Death: Summary of Workshops (pp. 7-26). Washington: National Academies Press.

Dempsey, M. (1947). Decline in tuberculosis; the death rate fails to tell the entire story. American review of tuberculosis, 56(2), 157-164. PMID: 20264378. https://doi.org/10.1164/art.1947.56.2.157

Eames, M., Ben-shlomo, Y., & Marmot, M. (1993). Social deprivation and premature mortality: regional comparison across England. British Medical Journal, 307(6912), 1097-1102. https://doi.org/10.1136/bmj.307.6912.1097

Eurostat. (2002). Atlas on mortality in the European Union - Chapter 4: Premature mortality. (pp. 23-25). Luxembourg: European Communities. Retrieved from: https://ec.europa.eu/eurostat/web/products-statistical-books/-/ks-08-02-004

French National Institute for Statistic and Economic Studies (INSEE). (2023, February 1). Definition, methods and quality. Definition. Retrieved from French National Institute for Statistic and Economic studies: https://www.insee.fr/en/metadonnees/definition/c2232

Grigoriev, P., Jasilionis, D., Klusener, S., Timonin, S., Andreev, E., Mesle, F., & Vallin, J. (2020). Spatial patterns of male alcohol‐related mortality in Belarus, Lithuania, Poland and Russia. Drug and alcohol review, 39(7), 835-845. https://doi.org/10.1111/dar.13037

Kibele, E. (2012). Mortality Differentials Across Germany’s Federal States. Regional Mortality Differences in Germany (pp. 47-90). Dordrecht: Springer Science & Business Media. https://doi.org/10.1007/978-94-007-4432-5

Kuznetsova, P. (2021). Prezhdevremennaya muzhskaya smertnost' i ekonomicheskoye blagosostoyaniye domokhozyaystv. Demograficheskoye obozreniye, 8(3), 96-123. https://doi.org/10.17323/demreview.v8i3.13268

Mazzuco, S., Suhrcke, M., & Zanotto, L. (2021). How to measure premature mortality? A proposal combining “relative” and “absolute” approaches. Population health metrics, 19, 1-14. https://doi.org/10.1186/s12963-021-00267-y

Mingot, M., Rué, M., & Borrell, C. (1991). Years of potential life lost: Comparison of 3 calculation methods. Gaceta Sanitaria, 5(22), 21-28.

Ministry of Health. (2022). Documents: Particip.gov.md. Retrieved from Particip.gov.md: https://particip.gov.md/ro/document/stages/hg-cu-privire-la-aprobarea-programului-national-de-prevenire-si-control-al-bolilor-netransmisibile-prioritare-in-republica-moldova-pentru-anii-2022-2030-si-planul-de-actiuni-pentru-anii-2022-2025-pentru-implement

Nolte, E., Scholz, R. D., & McKee, M. (2004). Progress in health care, progress in health?: Patterns of amenable mortality in Central and Eastern Europe before and after political transition. Demographic research, 2, 139-162. https://doi.org/10.4054/DemRes.2004.S2.6

OECD. (2011). Premature mortality. In Health at a Glance 2011: OECD Indicators (p. 204). Paris: OECD Publishing. https://doi.org/10.1787/health_glance-2011-en

OECD. (2023, August). Data. OECD. Retrieved from OECD web site: https://data.oecd.org/healthstat/potential-years-of-life-lost.htm

Or, Z. (2001). Exploring the effects of health care on mortality across OECD countries. Paris: OECD. https://doi.org/10.1787/18151981

Pahomii, I. (2018). Dinamica mortalității premature în ultimele doua decenii: studiu comparativ Republica Moldova-Estonia. In Creşterea economică în condiţiile globalizării: competitivitate, inovativitate, sustenabilitate. Sesiunea ştiinţifică: “Transformări demografice şi priorităţi de politici” : conferinţa internaţională ştiinţifico-practică, ediția a XIII-a, 11-12 octombrie 2018, Chişinău (pp. 44-56). http://dspace.ince.md/jspui/bitstream/123456789/1474/1/DINAMICA_MORTALITATI_%20PREMATURE_IN_ULTIMELE_DOUA_DECENII.pdf

Penina, O. (2022). Regional mortality disparities in the Republic of Moldova. Chisinau: Centrul editorial-poligrafic (CEP) Medicina. https://library.usmf.md/sites/default/files/2022-04/Regional%20mortality%20disparities%20in%20the%20Republic%20of%20Moldova.pdf

Penina, O., & Raevschi, E. (2017). Assessing age-and cause-specific risk groups of premature mortality in the Republic of Moldova. Бюллетень Национального научно-исследовательского института общественного здоровья имени Н.А. Семашко, 1, 220-224 http://bulleten-nriph.ru/journal/article/view/1733/5191

Plümper, T., Laroze, D., & Neumayer, E. (2018). Regional inequalities in premature mortality in Great Britain. PLoS One, 13(2). e0193488. https://doi.org/10.1371/journal.pone.0193488

Raevschi, E. M. (2017). Overview of evolution of premature mortality from major cardiovascular diseases in the Republic of Moldova 2003-2015. The Moldovan Medical Journal, 60(3), 46-49. https://moldmedjournal.md/wp-content/uploads/2018/10/moldmedjournal-2017-603-raevschi-full-article.pdf

Ray, J. (2017). Reducing premature mortality among young and middle-aged adults. Health Promotion and Chronic Disease Prevention in Canada, 37(3), 65-67. https://doi.org/10.24095/hpcdp.37.3.01

Shkolnikov, V., Andreev, E., Zhang, Z., Oeppen, J., & Vaupel, J. (2011). Losses of expected lifetime in the United States and other developed countries: methods and empirical analyses. Demography, 48(1), 211-239. https://doi.org/10.1007/s13524-011-0015-6

Vaupel, J., & Romo, V. (2003). Decomposing change in life expectancy: A bouquet of formulas in honor of Nathan Keyfitz’s 90th birthday. Demography, 40, 201-2016. https://doi.org/10.1353/dem.2003.0018

Vaupel, J., Zhang, Z., & van Raalte, A. (2011). Life expectancy and disparity: an international comparison of life table data. BMJ open, 1(1), e000128. https://doi.org/10.1136/bmjopen-2011-000128

Wise, R. P., Livengood, J. R., Berkelman, R. L., & Goodman, R. A. (1988). Methodological alternatives for measuring premature mortality. American Journal of Preventive Medicine, 4(5), 268-273. https://doi.org/10.1016/S0749-3797(18)31160-7

Wong, M., Shapiro, M., Boscardin, W., & Ettner, S. (2002). Contribution of major diseases to disparities in mortality. New England Journal of Medicine, 347(20), 1585-1592. https://doi.org/10.1056/NEJMsa012979

Zhang, Z., & Vaupel, J. (2009). The age separating early deaths from late deaths. Demographic Research, 20, 721-730. https://doi.org/10.4054/DemRes.2009.20.29

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Published

2023-08-28

How to Cite

Pahomii, I. (2023). ASSESSING PREMATURE MORTALITY: AN INDICATOR SELECTION ANALYSIS USING DATA FROM REPUBLIC OF MOLDOVA, CZECHIA, AND SWITZERLAND. Economy and Sociology, (1). https://doi.org/10.36004/nier.es.2023.1-04