Prospective study on chronic diseases and healthcare costs for the south of France region, 2016-2028

Abstract

Abstract Background In France, Health Regional Agencies (HRA) have to elaborate a Public Health Plan for the 5 coming years. For estimating future population health needs and associated costs to adapt the health services on the regional territory, the HRA in southeastern France requested a prospective analysis, based on demographic and epidemiologic scenarios about major chronic diseases, to evaluate future trends. Methods Six chronic diseases were selected: diabetes (1 or 2), cardiovascular diseases, respiratory diseases, cancers, neurological diseases and dementia. We used medico-administrative data from the National health insurance fund, and adapted algorithms to identify people with these diseases. We calculated prevalence rates according to gender and age and used two alternative scenarios (a constant one, and a trend-based one) to estimate the number of people with chronic diseases in 2023 and 2028, starting in 2016. We also estimated future healthcare costs according a constant and a trend-based scenario. Results The algorithms detect reasonable rates of disease compared to official rates available for 2016. Due to demographic (ageing) and/or epidemiologic trends, the number of people with chronic diseases will highly increase during the next ten years in the South of France region. For instance, between 2016 and 2028, there will be from 15% to 20% more people with diabetes. Associated costs will also be higher (+33% between 2016 and 2028), especially those granted to nursing care (+40%). Conclusions Burden of diseases and health expenditures are going to increase in the future. Projections are needed to help policymakers anticipating the required health services adaptation. Medico-administrative database are an invaluable source of data to do so. The next step of this project will consist in estimating those trends for smaller geographical areas. Key messages Data of the French Health Insurance fund can be used to predict future prevalence of chronic diseases and healthcare costs. South of France will face a main increase of people with chronic diseases.