Screening for Food and Nutrition Insecurity in the Healthcare Setting: A Cross-Sectional Survey of Non-Medicaid Insured Adults in an Integrated Healthcare Delivery System

Abstract

Objectives: Healthcare screening identifies factors that impact patient health and well-being. Hunger as a Vital Sign (HVS) is widely applied as a screening tool to assess food security. However, there are no common practice screening questions to identify patients who are nutrition insecure or acquire free food from community-based organizations. This study used self-reported survey data from a non-Medicaid insured adult population approximately one year after the start of the COVID-19 pandemic (2021). The survey examined the extent to which the HVS measure might have under-estimated population-level food insecurity and/or nutrition insecurity, as well as under-identified food and nutrition insecurity among patients being screened for social risks in the healthcare setting. Methods: Data from a 2021 English-only mailed/online survey were analyzed for 2791 Kaiser Permanente Northern California (KPNC) non-Medicaid insured members ages 35-85 years. Sociodemographics, financial strain, food insecurity, acquiring free food from community-based organizations, and nutrition insecurity were assessed. Data from respondents’ electronic health records were abstracted to identify adults with diet-related chronic health conditions. Data were weighted to the age × sex × racial/ethnic composition of the 2019 KPNC adult membership. Differences between groups were evaluated for statistical significance using adjusted prevalence ratios (aPRs) derived from modified log Poisson regression models. Results: Overall, 8.5% of participants reported moderate or high food insecurity, 7.7% had acquired free food from community-based organizations, and 13% had nutrition insecurity. Black and Latino adults were significantly more likely than White adults to have food insecurity (17.4% and 13.1% vs 5.6%, aPRs = 2.97 and 2.19), acquired free food from community-based organizations (15.1% and 15.3% vs 4.1%, aPRs = 3.74 and 3.93), nutrition insecurity (22.1% and 23.9% vs 7.9%, aPRs = 2.65 and 2.64), and food and nutrition insecurity (32.4% and 32.5% vs 12.3%, aPRs = 2.54 and 2.44). Almost 20% of adults who had been diagnosed with diabetes, prediabetes, ischemic CAD, or heart failure were food insecure and 14% were nutrition insecure. Conclusions: Expanding food-related healthcare screening to identify and assess food insecurity, nutrition insecurity, and use of community-based emergency food resources together is essential for supporting referrals that will help patients achieve optimal health.