Scelte di spesa e trend epidemiologici: un modello di simulazione

Journal title PRISMA Economia - Società - Lavoro
Author/s Walter Ricciardi, Silvia Longhi, Antonio Giulio de Belvis, Roberto Falvo, Tiziana Sabetta, Andrea Silenzi, Pessina Eugenio Anessi
Publishing Year 2014 Issue 2012/3 Language Italian
Pages 12 P. 14-25 File size 723 KB
DOI 10.3280/PRI2012-003003
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The Report Salute Italia 2028 aims at estimating the health needs of the Italian population by 2028 as a planning tool that can be used in the decision making process. The development of forecasts, trends and scenarios is helpful in identifying the actions to be taken with an evidence-based approach, in order to try to align the health services supply with the emerging health needs. The analysis is based on a set of indicators recognized at the national and international level. Most data derive from the Italian Observatory Healthcare Report and statistical models have been used to estimate future trends. An effort was made to develop a methodology able to link the trends emerged to the economic-financial and supply perspective. The report highlights which will be the peculiar needs of the Italian population and the main critical situations in the span time considered. Core indicators have been selected and analyzed regarding the following areas: demographic scenario, burden of disease (tumors, cardiovascular and infectious diseases, diabetes), institutional framework and health care expenditure. The financial crisis in Italy can affect substantially the crucial sector of the health care. The spending review process should avoid horizontal policies that can reduce the health expenditure in the short term, but resulting in the long term in a reduction of the health services covered and, thus, of the health status of the population.

  1. AIRT, (2006) “I tumori in Italia. Rapporto 2006”, Epidemiologia & Prevenzione, 1 (2)
  2. Bonifazi C., ( 2007) L’immigrazione straniera in Italia, il Mulino, Bologna
  3. Eurostat, (2008) Statistical yearbook
  4. Istat, (2011) Health for All, database aggiornato a Dicembre
  5. Istat, (2002) “Previsioni della popolazione residente per sesso, età e regione dal 1.1.2001 al 1.1.2051”, Informazioni, n. 13, Roma
  6. Istat, (2012) 100 statistiche per il paese,
  7. Istat, (2008) “Previsioni demografiche – 1° gennaio 2007–1° gennaio 2051”, Nota informativa del 19 Giugno
  8. Istat, (2003) “Previsioni della popolazione residente per sesso, età e regione dal 1/1/2001 al 1/1/2051”, Collana Informazioni, n. 13
  9. Joinpoint Regression Program, (2008) “Version 3.3.1. Product: Statistical Research and Applications Branch”, Division of Cancer Control and Population Sciences, National Cancer Institute,
  10. Lopez A.D. et al., (2008) “Measuring the Global Burden of Disease and Risk Factors, 1990-2001”, disponibile sul sito:, ultimo accesso: 2 Luglio
  11. Mapelli V., (2007) “Una proposta di ripartizione del fondo sanitario tra le regioni”, Politiche sanitarie, 8 (1), pp. 1-18
  12. Mathers C.D., Loncar D., (2006) “Projections of Global Mortality and Burden of Disease from 2002 to 2030”, PLoS Medicine, November, vol. 3, 11 e 442, pp. 2011-2030
  13. Mathers C.D., Loncar D., (2005) “Updated projections of global mortality and burden of disease, 2002-2030: data sources, methods and results”, Evidence and Information for Policy World Health Organization, Ottobre
  14. Mathers C.D. et al., (2008) “The burden of disease and mortality by condition: data, methods and results for 2001”, disponibile sul sito:, ultimo accesso: 2 Luglio
  15. Micheli A. et al., (2007) “Strategies for cancer control in Italy”, Tumori, 93 (4), pp. 329-336
  16. OECD, (2007) “Trends in severe disability among elderly people: assessing the evidence in 12 OECD countries and the future application”, OECD Health Working Papers, 26
  17. Osservatorio Nazionale sulla salute nelle Regioni Italiane, (2011) Rapporto Osservasalute 2011, Milano, Prex Spa
  18. OECD, (2008) “Health Data 2008. Frequently Requested Data”, disponibile sul sito:, ultimo accesso: 2 Luglio
  19. OECD, (2001) “Fiscal implications of ageing: projection of age related spending”, OECD Economic Outlook, 69
  20. OECD, (2006) “Projecting OECD health and long-term care expenditures: what are the main drivers?”, ECO/WKP, 5
  21. Progetto Cuore,
  22. RGS – Repubblica Italiana (Ministero dell'Economia e delle Finanze - Ragioneria Generale dello Stato), (2011) “Le tendenze di medio-lungo periodo del sistema pensionistico e socio-sanitario: le previsioni elaborate con i modelli della RGS aggiornati al 2011”, Rapporto, n. 12, Roma
  23. WHO, (2011) Word health report 2011,
  24. WHO, (1988) “MONICA Project (monitoring trends and determinants in cardiovascular disease): a major international collaboration. WHO MONICA Project Principal Investigators”, J Clin Epidemiol, 41, pp. 105-114, DOI: 10.1016/0895-4356(88)90084-

Walter Ricciardi, Silvia Longhi, Antonio Giulio de Belvis, Roberto Falvo, Tiziana Sabetta, Andrea Silenzi, Pessina Eugenio Anessi, Scelte di spesa e trend epidemiologici: un modello di simulazione in "PRISMA Economia - Società - Lavoro" 3/2012, pp 14-25, DOI: 10.3280/PRI2012-003003