Real-World Evidence and Digital Tools for Optimising Allergen Immunotherapy Outcomes

Randomised controlled trials establish the efficacy of allergen immunotherapy (AIT), but they cannot capture how treatment performs across the diversity of patients, adherence patterns, and healthcare settings seen in routine practice. Real-world evidence (RWE), drawn from prescription and registry databases, prospective cohorts, and patient-reported outcomes, has become essential for understanding long-term effectiveness, adherence, and value. At the same time, digital and data-driven tools, including mobile applications, e-diaries, wearables, and electronic health record and claims-based analytics, are opening new ways to monitor treatment response, personalise care, and generate pragmatic effectiveness data at scale. Bridging controlled trial evidence with everyday clinical and digitally captured data is now a priority for regulators, payers, and clinicians seeking to make value-based decisions about AIT.This Research Topic welcomes papers on real-world and digitally-enabled evidence in allergen immunotherapy (subcutaneous, sublingual, oral, and emerging routes), across aeroallergen, food, and venom indications. Contributions may draw on registries, prescription/claims databases, prospective real-world cohorts, patient-reported outcome measures, or digital and data-driven monitoring tools (apps, e-diaries, wearables, EHR/claims analytics, and predictive or AI-based models of treatment response).We welcome submissions on the following sub-themes:- Registry- and prescription-database-derived studies of AIT effectiveness and persistence- Prospective real-world cohorts comparing AIT modalities or formulations- Patient-reported outcome measures capturing symptom control, quality of life, and productivity- Mobile health, e-diary, and wearable-based monitoring of AIT response- Electronic health record, claims, or registry analytics using predictive or AI-based models- Studies linking digital or real-world measurement to patient selection or treatment personalisation- Health-economic or value-based analyses combining trial and real-world data.All article types are welcomed, including Original Research, Reviews, Mini-Reviews, Brief Research Reports, and more. Topic editors: Anna Rybachuk, Ralph Mösges Source: https://www.frontiersin.org/research-topics/83646/real-world-evidence-and-digital-tools-for-optimising-allergen-immunotherapy-outcomes