ISPOR 2026 recently wrapped up, and the Evidation team presented three posters spanning GLP-1 medication use, autoimmune flares, and inclusive research participation. While each poster explored a different question, they pointed to the same broader need in real-world evidence: a clearer understanding of what happens between healthcare visits.
In the real world, patients make treatment decisions between visits, symptoms fluctuate outside clinic walls, and disease burden evolves day to day. Many of the behaviors that shape adherence and outcomes emerge long before they become visible in claims or electronic health records.
Traditional real-world data sources remain foundational to evidence generation. But as treatment landscapes become more personalized and patient behavior plays a larger role in outcomes, researchers need complementary approaches capable of capturing what happens between healthcare interactions.
Emerging treatment behaviors are often difficult to observe through traditional systems alone
In the poster, “Emerging Patterns of GLP-1 Microdosing in a Large Real-World Population,” the Evidation team explored emerging patterns of GLP-1 microdosing within a large real-world population
As GLP-1 therapies continue to evolve, so do the ways individuals use and adapt these medications in everyday life. Behaviors like microdosing may reflect a range of real-world factors, including side effect management, affordability, supply constraints, personalization, or attempts to sustain treatment over time. While traditional healthcare data can often identify prescriptions or utilization patterns, it may not fully capture the motivations and adaptive behaviors occurring around treatment use.
Direct engagement with individuals creates an opportunity to better understand not only what behaviors are occurring, but also the real-world context surrounding them. For researchers and teams working to understand how therapies perform outside clinical settings, that context matters because it can shape adherence, persistence, and ultimately outcomes.
Disease activity does not follow appointment schedules
Another poster, “Characterizing Autoimmune Flares in Real World Settings Among Individuals with Rheumatoid Arthritis Enrolled in an Online Community”, examined autoimmune flares among individuals with rheumatoid arthritis enrolled in the Evidation Community.
For many autoimmune conditions, some of the most meaningful disease experiences happen outside formal healthcare interactions. Symptoms fluctuate between visits. Flares occur unpredictably, and retrospective recall during clinic appointments may not fully capture the timing, severity, or day-to-day impact of those experiences.
Capturing data closer to the moment a flare occurs can provide a more nuanced understanding of disease burden, changes in biomarkers, and the lived experience of patients. This kind of longitudinal, multimodal data collected directly from individuals can help researchers better understand how autoimmune disease activity evolves over time, including changes that may otherwise be missed between clinical visits.
Continuous research requires continuous connection
A third poster, “Inclusive Health Research in the Palm of Your Hand: The Evidation Everyone Registry,” highlighted the Evidation Everyone Registry, a mobile-first research registry designed to support broad participation and ongoing engagement in health research.
As researchers look to better understand how health and behavior evolve over time, scalable infrastructure for direct participant engagement becomes increasingly important. More continuous connection with individuals creates opportunities to capture symptoms, behaviors, experiences, and health changes that may otherwise go undocumented between formal healthcare interactions. The longitudinal engagement enabled by the Evidation Everyone Registry can help researchers study health in a way that is more continuous, contextual, and reflective of everyday life.
Looking ahead
Traditional real-world data sources, including claims, EHR, and clinical datasets, remain essential for understanding diagnoses, treatments, and outcomes at scale. But many of the experiences that shape those outcomes happen outside the healthcare system itself. At Evidation, we’ve long believed that understanding health requires direct, longitudinal connection with individuals beyond episodic healthcare interactions, and that perspective felt more important than ever at ISPOR 2026.
As treatment landscapes become more personalized and patients have more choice in how therapies are used and experienced, understanding real-world outcomes increasingly requires a deeper view into the behaviors, biology, and day-to-day experiences that shape health over time. Arriving at that understanding requires richer, more continuous data that reflects the full patient experience, data that can only be captured through direct, ongoing connection with individuals over time.