Food insecurity and healthcare costs: research strategies using local, state, and national data sources for older adults

Abstract

Food insecurity in older adults is a clinically relevant problem with important implications for healthcare costs; however, few studies have examined the relationship between food insecurity and the healthcare cost burden in older adults. It may be due in part to lack of appropriate data and methods to examine these issues in the existing datasets. It is critical to identify and obtain the data necessary for estimating healthcare costs associated with food insecurity and to explore specific mechanisms by which food insecurity is related to adverse health outcomes and associated healthcare costs. This paper discusses how to best utilize and link available, nationally representative datasets and develop infrastructure and procedures to establish state and local datasets. As an example, an innovative approach tested in Georgia to establish a state-level dataset in a sample of low-income, older adults in need of food assistance is discussed. In this approach, data from the state aging services client database and the Centers for Medicare and Medicaid Services data were linked. Such efforts are essential to estimate the healthcare cost burden of food-insecure older adults who have a particularly higher burden of chronic diseases and direct future research, program, and policy decisions to improve the food and healthcare security of low-income, older adults.