Patient Trade-Offs Related to Analgesic Use for Cancer Pain: A MaxDiff Analysis Study.

PurposeMany patients with cancer pain deviate from prescribed analgesic regimens. Our aim was to elicit the trade-offs patients make based on their beliefs about analgesic use and rank utilities (importance scores) using maximum difference (MaxDiff) scaling. We also investigated if there were unique clusters of patients based on their analgesic beliefs.MethodsThis was a secondary analysis of a three-month, prospective observational study. Patients (N = 207) were self-identified African Americans and Whites, >18 years, diagnosed with multiple myeloma or solid tumor, and were prescribed at least one around-the-clock analgesic for cancer pain. MaxDiff analysis allowed us to identify patients utilities. Second, a cluster analysis assisted in ranking how analgesic beliefs differed by groups. Third, clusters were described by comparing key sociodemographic and clinical variables.ResultsParticipants' beliefs were a significant factor in choices related to analgesic use (chi-square = 498.145, p ConclusionsOur findings support tailored pain management interventions that attend to individual beliefs about cancer pain and analgesic use. Future research should explore the relationship between analgesic utilities, actual analgesic taking behaviors, and how they impact patients' cancer pain outcomes.