Screening for health literacy at an urban academic cancer center.

Abstract

e19034 Background: Low health literacy is more prevalent among older adults and minority populations, and it has been linked to excess health care utilization and poor health outcomes in cancer patients. Screening for health literacy may improve communication and care, such that discussions and information can be tailored to patient need. The purpose of this study was to describe health literacy levels and correlates among patients at an urban, NCI-designated cancer center. Methods: In September 2019, we began health literacy screening for each newly diagnosed, English-speaking cancer patient. Patients were categorized as having low, medium, or high health literacy using the BRIEF health literacy screener; results are visible in the EMR. For this analysis, we included patient age, gender, insurance type, race/ethnicity, and socio-economic status (SES), which was calculated using an Area Deprivation Index (ADI) ranging from 0 (no deprivation) to 100 (extreme deprivation). Data was summarized using descriptive statistics; ANOVA and Chi-squared tests investigated associations between patient’s health literacy levels and potential correlates. Results: Among 284 patients, 68%, (n = 195) were Caucasian, 25% (n = 70) were African American and 7%, (n = 19) identified as Hispanic, Asian American or some other race. Seventy-five percent (n = 211) were male; the mean age was 63 years (SD: 12). The mean ADI was 42 (SD: 28), indicating a low to moderate SES. Seventy percent (n = 200) had a high health literacy score, 20% (n = 57) had a medium score, and 10% (n = 27) had a low health literacy score. Only a patient’s race/ethnicity and the ADI were significantly associated with their health literacy score. Seventy-seven percent of Caucasian patients had high health literacy scores compared to 59% of African American patients and 48% patients of Hispanic, Asian or some other origin (P < .001). Patients with low health literacy had an ADI score (65.1) that was almost double the score of patients with high health literacy scores (38.5) (p < .001). Conclusions: Roughly one-third of patients seen at this urban cancer center did not have a high health literacy score. Socio-economic status was a stronger correlate to health literacy than patient age, marital status, or insurance type. EMRs should capture a patient’s SES in some manner, as this is strongly associated with health literacy.