Francesco Conrado, Gianmarco Giacomini, Pietro Marraffa, Federica Golzio, Valeria Tagliabò, Maria Michela Gianino
{"title":"预测2022 - 2060年意大利人口结构变化对医疗保健和社会保障支出的影响。","authors":"Francesco Conrado, Gianmarco Giacomini, Pietro Marraffa, Federica Golzio, Valeria Tagliabò, Maria Michela Gianino","doi":"10.1186/s13690-025-01719-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Europe's demographic transition has led to an ageing population, posing challenges for healthcare and pension systems. This study aims to forecast healthcare and social security expenditure in Italy over the next four decades, starting from the different population projection scenarios, and to forecast its incidence on the Gross Domestic Product (GDP) in the context of significant demographic changes.</p><p><strong>Methods: </strong>This study utilized annual data from 1988 to 2022. The dataset included the following key variables: GDP per capita, Healthcare Expenditures per capita, Social Security Expenses per capita, Ratio of Social Security Expenses and Healthcare Expenditures to GDP, and Italian Population Demographics. A Bayesian Vector Autoregressive model was employed to analyze the development of these variables in future years; forecasts extended to 2060 under six demographic scenarios provided by Eurostat: Baseline, Low Mortality Rate, Low Fertility Rate, High Migration, Low Migration, and No Migration.</p><p><strong>Results: </strong>All scenarios showed increases in per capita healthcare and social security expenditures over time. The No Migration scenario exhibited the fastest growth in both expenditures, especially after 2050. The High Migration scenario showed the slowest growth. Other scenarios showed intermediate growth. Per capita healthcare expenditure grew by drawing a convex line, while the per capita social expenditure grew faster, following a concave trajectory.</p><p><strong>Conclusions: </strong>Due to demographic changes, social and healthcare expenditure is set to increase. Results suggest that strong and timely measures should be taken to limit the demographic imbalances affecting healthcare and social expenditures.</p>","PeriodicalId":48578,"journal":{"name":"Archives of Public Health","volume":"83 1","pages":"229"},"PeriodicalIF":3.2000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12482820/pdf/","citationCount":"0","resultStr":"{\"title\":\"Forecasting impact of demographic changes on the expenditures of healthcare and social security in Italy from 2022 to 2060.\",\"authors\":\"Francesco Conrado, Gianmarco Giacomini, Pietro Marraffa, Federica Golzio, Valeria Tagliabò, Maria Michela Gianino\",\"doi\":\"10.1186/s13690-025-01719-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Europe's demographic transition has led to an ageing population, posing challenges for healthcare and pension systems. This study aims to forecast healthcare and social security expenditure in Italy over the next four decades, starting from the different population projection scenarios, and to forecast its incidence on the Gross Domestic Product (GDP) in the context of significant demographic changes.</p><p><strong>Methods: </strong>This study utilized annual data from 1988 to 2022. The dataset included the following key variables: GDP per capita, Healthcare Expenditures per capita, Social Security Expenses per capita, Ratio of Social Security Expenses and Healthcare Expenditures to GDP, and Italian Population Demographics. A Bayesian Vector Autoregressive model was employed to analyze the development of these variables in future years; forecasts extended to 2060 under six demographic scenarios provided by Eurostat: Baseline, Low Mortality Rate, Low Fertility Rate, High Migration, Low Migration, and No Migration.</p><p><strong>Results: </strong>All scenarios showed increases in per capita healthcare and social security expenditures over time. The No Migration scenario exhibited the fastest growth in both expenditures, especially after 2050. The High Migration scenario showed the slowest growth. Other scenarios showed intermediate growth. Per capita healthcare expenditure grew by drawing a convex line, while the per capita social expenditure grew faster, following a concave trajectory.</p><p><strong>Conclusions: </strong>Due to demographic changes, social and healthcare expenditure is set to increase. Results suggest that strong and timely measures should be taken to limit the demographic imbalances affecting healthcare and social expenditures.</p>\",\"PeriodicalId\":48578,\"journal\":{\"name\":\"Archives of Public Health\",\"volume\":\"83 1\",\"pages\":\"229\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12482820/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13690-025-01719-9\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13690-025-01719-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Forecasting impact of demographic changes on the expenditures of healthcare and social security in Italy from 2022 to 2060.
Background: Europe's demographic transition has led to an ageing population, posing challenges for healthcare and pension systems. This study aims to forecast healthcare and social security expenditure in Italy over the next four decades, starting from the different population projection scenarios, and to forecast its incidence on the Gross Domestic Product (GDP) in the context of significant demographic changes.
Methods: This study utilized annual data from 1988 to 2022. The dataset included the following key variables: GDP per capita, Healthcare Expenditures per capita, Social Security Expenses per capita, Ratio of Social Security Expenses and Healthcare Expenditures to GDP, and Italian Population Demographics. A Bayesian Vector Autoregressive model was employed to analyze the development of these variables in future years; forecasts extended to 2060 under six demographic scenarios provided by Eurostat: Baseline, Low Mortality Rate, Low Fertility Rate, High Migration, Low Migration, and No Migration.
Results: All scenarios showed increases in per capita healthcare and social security expenditures over time. The No Migration scenario exhibited the fastest growth in both expenditures, especially after 2050. The High Migration scenario showed the slowest growth. Other scenarios showed intermediate growth. Per capita healthcare expenditure grew by drawing a convex line, while the per capita social expenditure grew faster, following a concave trajectory.
Conclusions: Due to demographic changes, social and healthcare expenditure is set to increase. Results suggest that strong and timely measures should be taken to limit the demographic imbalances affecting healthcare and social expenditures.
期刊介绍:
rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.