title: Are public subsidies effective to reduce emergency care? Evidence from the PLASA study.
abstract: Elderly people facing dependence are exposed to the financial risk of long lasting care expenditures. This risk is high for people facing cognitive, functional and behavioral problems. In the short-term, dependent elderly people face increased non-medical care expenditures. In the long-term, they face increased medical care expenditures, which are driven by emergency care events such as: emergency hospitalization, emergency medical visits, and emergency institutionalizations. In France, providing public financial assistance has been shown to improve dependent people's access to non-medical care services. However, the impact of public financial assistance on emergency care use has not been explored yet. Our study aims at determining whether financial assistance on non-medical care provision decreases the probability of emergency care rates using data of 1131 French patients diagnosed with Alzheimer's disease, collected between 2003 and 2007. Using instrumental variables to deal with the presence of a potential endogeneity bias, we find that beneficiaries of long-term care subsidies have a significantly lower rate of emergency care than non-beneficiaries. Failing to control for endogeneity problems would lead to misestimate the impact of long-term care subsidies on emergency care rates. Finding that home care subsidies has a protective effect for emergency care confirmed the efficacy of this public policy tool.
authors.affiliation: LIRAES (EA 4470) & Chaire AGEINOMIX, Université Paris Descartes, Sorbonne Paris Cité, France. Electronic address: thomas.rapp@parisdescartes.fr.
authors.forename: Thomas
authors.initials: T
authors.lastname: Rapp
authors.affiliation: LIRAES (EA 4470) & Chaire AGEINOMIX, Université Paris Descartes, Sorbonne Paris Cité, France.
authors.forename: Pauline
authors.initials: P
authors.lastname: Chauvin
authors.affiliation: LIRAES (EA 4470) & Chaire AGEINOMIX, Université Paris Descartes, Sorbonne Paris Cité, France.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Sirven
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000191:economics / Q000628:therapy*; D017028:Caregivers / Q000191:economics; D004632:Emergency Medical Services / Q000191:economics / Q000706:statistics & numerical data*; D005260:Female; D005602:France; D006296:Health Services / Q000191:economics*; D006801:Humans; D008297:Male; D008483:Medical Assistance / Q000191:economics*; D008875:Middle Aged; D012044:Regression Analysis
keywords: Dependence; Emergency care use; Instrumental variables; Public subsidy