"Worth it if you could afford it": Patient perspectives on integrating real-time benefit tools into drug cost conversations.

backgroundMedication costs can lead to financial burdens for patients, creating barriers to effective medication use. Health care provider use of real-time benefit tools (RTBTs) may facilitate cost conversations with patients. We sought to explicate patient views on how RTBTs could be used to improve cost considerations in prescribing decisions.

methodsWe conducted focus groups to characterize patient perspectives on holding cost conversations with their physicians and to identify factors that would influence the value of RTBTs. We focused on adults aged 50+ who reported trouble paying for their prescriptions. Three groups included patients with conditions requiring high-cost treatments and one group included lower-income patients independent of their medical conditions. Focus groups were recorded, transcribed, coded, and categorized to salient themes employing inductive and deductive approaches using the Health Equity Implementation Framework.

resultsFocus groups were conducted from 09/2020-12/2020 including 18 participants representing cancer (n = 6), diabetes (n = 6), rheumatoid arthritis (n = 3), and lower income (n = 3). Participants were between 50-74, eight self-identified as Black, 10 as White, and eight reported earning <$50,000/year. We identified five themes regarding cost conversations (medication cost importance, past experiences with cost/cost conversations, perception of physician's role and knowledge, knowledge of existing resources, and influence on decision-making) and four RTBT-use-specific themes (advantages/disadvantages, perceived relevance, data quality concerns, and implementation considerations).

conclusionApproaches that envision RTBTs as one-size-fits-all technological interventions may underestimate the complexity of incorporating price information into prescribing decisions. Nevertheless, patients highlighted the potential value of accurate, real-time information on medication costs to inform decision-making.