Analiza predviđanja odabranih zdravstvenih i ekonomskih indikatora u zemljama Jugoistočne Evrope i Balkana

  • Miloš Stepović University of Kragujevac, Faculty of Medical Sciences, Kragujevac, Serbia
  • Berislav Vekić University of Kragujevac, Faculty of Medical Science, Department of Surgery, Kragujevac, Serbia; University Clinical Hospital Center “Dr. Dragiša Mišović”, Clinic for Surgery, Belgrade, Serbia
  • Viktorija Dragojević Simić Military Medical Academy, Center for Clinical Pharmacology, Belgrade, Serbia
  • Stefan Vekić University of Belgrade, Faculty of Economy, Belgrade, Serbia
  • Nemanja Rančić Centre for Clinical Pharmacology; Medical Faculty Military Medical Academy, University of Defence, Belgrade, Serbia https://orcid.org/0000-0002-5122-8094
Ključne reči: balkansko poluostrvo;, evropa, istočna;, predviđanje;, zdravstvena zaštita, troškovi;, zdravstvena zaštita, ekonomija i organizacija;, zdravstvena zaštita, ocena kvaliteta;, zdravstvo, unapređenje;, statistika;, zdravstveno stanje, indikatori.

Sažetak


Uvod/Cilj. Zdravstveni indikatori pružaju uporedive informacije relevantne za definisanje zdravstvenih ciljeva. Cilj ovog rada bio je da se izvrši analiza predviđanja odabranih indikatora koji bi mogli da pomognu u predviđanju budućih potreba u ekonomiji zdravstva i sprečavanju problema koji bi u budućnosti mogli prediktivno da rastu. Metode. Zdravstveni pokazatelji su prikupljeni iz javno dostupnih baza podataka Svetske zdravstvene organizacije i Eurostata. Koristili smo tehniku kvantitativnog predviđanja koja se obično koristi za istorijske podatke, za predviđanje nekoliko godina u budućnost, uzimajući u obzir odabrane indikatore povezane sa zdravstvom i ekonomijom. Rezultati. Ukupni izdaci za zdravstvo kao procenat bruto domaćeg proizvoda (BDP) do 2025. godine povećaće se u većini od 17 analiziranih zemalja. Procenat plaćanja za zdravstvene usluge direktno iz budžeta domaćinstava smanjiće se u polovini analiziranih zemalja, dok će vrednosti BDP-a, izražene u američkim dolarima, znatno porasti u poređenju sa poslednjom analiziranom godinom (2017), osim u Grčkoj. Pokazatelj mortaliteta novorođenčadi pokazuje da će se brojevi smanjiti u svakoj analiziranoj zemlji, dok će procenat gradskog stanovništva rasti gotovo u svakoj zemlji, osim u Estoniji. Očekivani životni vek će se povećati u svakoj od pomenutih zemalja. Zaključak. Indikatori povezani sa zdravljem i ekonomijom moraju se pratiti tokom vremena, jer pružaju značajne informacije o relevantnim pitanjima u zdravstvenom sistemu. Štaviše, oni mogu ukazivati na promene koje bi trebalo izvršiti kako bi se postigao napredak u svakoj pojedinačnoj zemlji.

Reference

1.      Larson J. The measurement of health: concepts and indicators. New York: Grenwood Press; 1991.

2.      Larson C, Mercer A. Global health indicators: An overview. CMAJ 2004; 171(10): 1199‒200.

3.      Smith P, Mossialos E, Papanicolas I, Leatherman S. Performance Measurement for Health System Improvement. Experiences, Challenges and Prospects. Cambridge: Cambridge University Press; 2010.

4.      Yusuf S, Reddy S, Ounpuu S, Anand S. Global burden of cardiovascular diseases: Part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation 2001; 104(22): 2746‒53.

5.      National Health Service (NHS). NHS Institute for Innovation and Improvement. The Good Indicators Guide: Understanding How to Use and Choose Indicators. Available from: https://www.england.nhs.uk/improvement-hub/publication/
/>the-good-indicators-guide-understanding-how-to-use-and-cho
ose-indicators/ [ updated 2017November 30].

6.      World Health Organization. Study Group on the Measurement of Levels of Health & World Health Organization, 1957‎. Measurement of levels of health: report of a study group [‎meeting held in Geneva from 24 to 28 October 1955]‎. Available from: https://apps.who.int/iris/handle/10665/40394

7.      Stefko R, Gavurova B, Ivankova V, Rigelsky M. Gender Inequalities in Health and Their Effect on the Economic Prosperity Represented by the GDP of Selected Developed Countries ‒ Empirical Study. Int J Environ Res Public Health 2020; 17(10): 3555.

8.      World Health Organization. Health and the Millennium Development Goals. Geneva: World Health Organization; 2005. Available from:          https://www.who.int/hdp/publications/mdg
/>_en.pdf?ua=1

9.      Saltman R, Rico A, Boerma W. Primary health care in the driver’s seat: organizational reform in European primary care. Maidenhead, England: Open University Press; 2006.

10.   Clancy CM, Uchendu US, Jones KT. Excellence and Equality in Health Care. Am J Public Health 2014; 104(Suppl 4): S527‒8.

11.   White-Means S, Gaskin DJ, Osmani AR. Intervention and Public Policy Pathways to Achieve Health Care Equity. Int J Environ Res Public Health. 2019; 16(14): 2465.

12.   Koehring М. Modernising health systems in the Balkans: Uneven progress. New York, NY: EIU Perspectives; 2016. Available from: https://eiuperspectives.economist.com/healthcare/
/>modernising-health-systems-balkans

13.   Jakovljevic MB, Vukovic M, Fontanesi J. Life expectancy and health expenditure evolution in Eastern Europe-DiD and DEA analysis. Expert Rev Pharmacoecon Outcomes Res 2015; 16(4): 537‒46.

14.   Rancic N, Jakovljevic M. Long Term Health Spending Alongside Population Aging in N-11 Emerging Nations. East Eur Bus Econ J 2016; 2(1): 2‒26.

15.   Jakovljevic M, Potapchik E, Popovich L, Barik D, Getzen TE. Evolving health expenditure landscape of the BRICS nations and projections to 2025. Health Econ 2017; 26(7): 844‒52.

16.   Stevens GA, Alkema L, Black RE, Boerma JT, Collins GS, Ezzati M, et al. Correction: Guidelines for Accurate and Transparent Health Estimates Reporting: the GATHER statement. PLOS Med 2016; 13(8): e1002116.

17.   Marmot M. Social determinants of health inequalities. Lancet 2005; 365(9464): 1099‒104.

18.   Politzer E, Shmueli A, Avni S. The economic burden of health disparities related to socioeconomic status in Israel. Isr J Health Policy Res 2019; 8(1): 46.

19.   World Health Organization. Regional Committee for Europe. 64th Session. Investing in children: The European child and adolescent health strategy 2015–2020. Copenhagen, Denmark; 2014 September 15–18; Geneve:  World Health Organization; 2014. Available from: http://www.euro.who.int/__data/
/>assets/pdf_file/0006/199536/Health2020-Short.pdf?ua=1 [accessed  2014 July 17].

20.   World Health Organization. European health information gateway. Available from: https://gateway.euro.who.int/en/hf
/>a-explorer/#2zvCNKFyac

21.   World Health Organization. WHO Regional Office for Europe.  Available from: https://www.who.int/medicines/are
/>as/quality_safety/safety_efficacy/gcp1.pdf

22.   World Health Organization. WHO Regional Office for Europe. Available from: https://www.euro.who.int/__data/
/>assets/pdf_file/0009/251775/Health-2020-Targets-and-indica
tors-version2-ENG.pdf

23.   Lawrence KD, Klimberg RK, Lawrence SM. Fundamentals of Forecasting Using Excel. New York, U S: Industrial Press; 2008.

24.   Stepovic M. GDP Growth and Health Care Expenditures Worldwide. Open Pharmacoecon Health Econ J 2019; 7: 9‒18.

25.   Stepovic M, Rancic N, Vekic B, Dragojevic-Simic V, Vekic S, Ratkovic N, et al. Gross Domestic Product and Health Expenditure Growth in Balkan and East European Countries-Three-Decade Horizon. Front Public Health 2020; 8: 492.

26.   Rancic N, Kovacevic A, Dragojevic-Simic V. Long term health expenditure changes in selected Balkan countries. Front Public Health 2015; 3: 152.

27.   Jakovljevic M. Population ageing alongside health care spending growth. Srp Arh Celok Lek 2017; 145(910): 534‒9.

28.   Lichtenberg FR, Tatar M, Çalışkan Z. The effect of pharmaceutical innovation on longevity, hospitalization and medical expenditure in Turkey, 1999–2010. Health Policy 2014; 117(3): 361‒73.

29.   Jakovljevic MB. Resource allocation strategies in Southeastern European health policy. Eur J Health Econ 2013; 14(2): 153‒9.

30.   Kovačević A, Rancic N, Segrt Z, Dragojevic-Simic V. Pharmaceutical expenditure and burden of non-communicable diseases in Serbia. Front Pharmacol 2016; 7: 373.

31.   Neumann PJ, Ganiats TG, Russell GD, Sanders GD.  Siegel JE. Cost Effectiveness in Health and Medicine. 2nd ed. New York: Oxford University Press; 2017.

32.   Lorenzoni L, Marino A, Morgan D, James C. Health Spending Projections to 2030: New results based on a revised OECD methodology. OECD Health Working Papers 2019; No. 110. Paris, France: OECD Publishing; 2019. Available from: https://www.sipotra.it/wpcontent/uploads/2019/06/Health-
/>Spending-Projections-to-2030-New-results-based-on-a-revised
-OECD-methodology.pdf

33.   OECD. Projections of health expenditure. Paris, France: OECD Publishing; 2019.

34.   Marino A, Morgan D, Lorenzoni L, James C. Future trends in health care expenditure: A modelling framework for cross-country forecasts. OECD Health Working Papers 2017; No. 95. Paris, France: OECD Publishing; 2017.

35.   OECD. Fiscal Sustainability of Health Systems. Paris, France; OECD Publishing. 2015. doi:           https://doi.org/10.1787/9789264233386-en

36.   James C, Berchet C, Muir T. Addressing operational waste by better targeting the use of hospital care, in:  Tackling Wasteful Spending on Health.OECD 2017. Paris, France: OECD Library; 2017.

37.   Šiška J, Beadle-Brown J.  Transition from Institutional Care to Community-Based Services in 27 EU Member States: Final report. Research report for the European Expert Group on Transition from Institutional to Community-based Care. 2020. Available from:          https://www.euro.who.int/__data/assets/pdf
/>_file/0009/355986/Health-Profile-Latvia-Eng.pdf?ua=1

38.   Tandon A, Cashin C. Assessing Public Expenditure on Health from a Fiscal Space Perspective. Health, Nutrition and Population (HNP) discussion paper. Washington, DC: World Bank; 2010. Available from: https://openknowledge.worldbank.org/
/>handle/10986/13613 License: CC BY 3.0 IGO.

39.   Fuhrer R, Shipley MJ, Chastang JF, Schmaus A, Niedhammer I, Stansfeld SA, et al.  Socioeconomic position, health, and possible explanations: a tale of two cohorts. Am J Public Health 2002; 92(8): 1290‒4.

40.   Merlo J, Gerdtham U, Lynch J, Beckman A, Norlund A, Lithman T. Social inequalities in health ‒ do they diminish with age? Revisiting the question in Sweden 1999. Int J Equity Health 2003; 2(1): 2.

41.   Cho HE, Wang L, Chen JS, Liu M, Kuo CF, Chung KC. Investigating the causal effect of socioeconomic status on quality of care under a universal health insurance system - a marginal structural model approach. BMC Health Serv Res 2019; 19(1): 987.

42.   Cutler D, Wikler E, Basch P. Reducing administrative costs and improving the health care system. N Engl J Med 2012; 367(20): 1875‒8.

43.   The World Bank. Available from: https://data.worldbank.org
/>/country/UA

44.   Hsaio WC, Shaw PR. Social Health Insurance for Developing Nations. WBI Development Studies. Washington, DC: World Bank; 2007. Available from: https://openknowledge.worldban
/>k.org/handle/10986/6860 License: CC BY 3.0 IGO.

45.   Hsaio WC, Shaw PR. Social Health Insurance for Developing Nations. World Health Organization for the Western Pacific Region. Washington, DC: World Bank; 2007. Available from: https://openknowledge.worldbank.org/bitstream/handle/10986/6860/411710PAPER0So101OFFICIAL0USE0ONLY1.pdf?sequence=1&isAllowed=y

46.   Gonzalez RM, Gilleskie D. Infant Mortality Rate as a Measure of a Country’s Health: A Robust Method to Improve Reliability and Comparability. Demography 2017; 54(2): 701‒20.

47.   Gupta S, Verhoeven M, Tiongson ER. Public spending on health care and the poor. Health Econ 2003; 12(8): 685‒96.

48.   World Health Organization. WHO Library Cataloguing-in-Publication Data. Available from: https://apps.who.int/iris/bi
/>tstream/handle/10665/43444/9241563206_eng.pdf?sequence=1

49.   Department of Economic and Social Affairs of the United Nations. Available from: https://www.un.org/millenniumgoals/
/>2015_MDG_Report/pdf/MDG%202015%20rev%20(July%201).pdf

50.   The French Institute for Demographic Studies. Available from: https://www.ined.fr/en/everything_about_population/
/>data/europe-developed-countries/birth-death-infant-mortality/

51.   Department of Economic and Social Affairs, Population Division. Available from: https://www.un.org/en/development
/>/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlights.pdf

52.   Raleigh V. Trends in life expectancy in EU and other OECD countries: why are improvements slowing?, OECD Health Working Papers, No. 108. Paris, France; OECD Publishing; 2019. 

53.   Kinsella K, Velkoff V. An Aging World: 2001. Washington, DC: Government Printing Office; 2001. Available from: https://www.census.gov/prod/2001pubs/p95-01-1.pdf

54.   Ogura S, Jakovljevic M. Health financing constrained by population aging – an opportunity to learn from Japanese experience. Serbian J Exp Clin Res 2014; 15(4): 175‒81.

55.   United Nations, Department of Economic and Social Affairs, Population Division. Available from: https://population.un.or
/>g/wup/Publications/Files/WUP2018-Report.pdf

56.   European Commission. Available from: https://knowledge
4policy.ec.europa.eu/foresight/topic/continuing-urbanisation
/developments-and-forecasts-on-continuing-urbanisation_en

57.   Seto KC, Güneralp B, Hutyra LR. Global forecasts of urban expansion to 2030. Proceedings of the National Academy of Sciences. Proc Natl Acad Sci USA 2012; 109(40): 16083‒8.

58.   The World Bank. Available from: https://www.worldbank.org
/>/en/country/romania/overview

59.   Our World in Data. Available from:  https://ourworldindata.o
/>rg/urbanization

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