Patient Preferences for Treatment Attributes in Inflammatory Bowel Disease: Results From a Large Survey Across Seven European Countries Using a Discrete Choice Experiment.

BACKGROUND: Inflammatory bowel disease requires long-term treatment; therefore, understanding patient preferences is important in aiding informed treatment decision making. This study explored patients' preferences for treatment attributes of available inflammatory bowel disease therapies.

METHODS: Adult patients from 7 European countries who self-reported previous/current treatment for Crohn's disease (CD) or ulcerative colitis (UC) participated in an online survey via the Carenity platform. In a discrete choice experiment, the relative importance of treatment attributes for CD and UC was estimated using conditional logit models. Latent class analysis was conducted to estimate heterogeneous treatment preferences based on patient profiles. Patients' perspectives and preferences regarding their quality of life were assessed.

RESULTS: Across 686 completed survey responses (CD, n = 360; UC, n = 326), the mean patient age was 48 and 50 years, respectively. Patients with CD ranked route of administration as the most important attribute (attribute importance: 32%), preferring subcutaneous over intravenous treatment (P < .001). Patients with UC ranked route of administration and frequency of serious adverse events as the most important attributes (attribute importance: 31% and 23%, respectively), preferring oral (P < .001) and subcutaneous (P < .001) over intravenous treatment and treatment that minimized the risk of serious adverse events (P < .001) or mild adverse events (P < .01). Latent class analyses confirmed the impact of patients' sociodemographic profile on their preferences. All patients prioritized general well-being, energy level, and daily activities as the most important aspects for improvement through treatment.

CONCLUSIONS: Patient preferences for treatment attributes varied among patients with CD or UC, highlighting the importance of personalized care and shared decision making to maximize treatment benefits.