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Randomised controlled trials (RCTs) are the paradigm for questions on causal inference but often face challenges in generalisability due to strict eligibility criteria. In allergic rhinitis (AR), this limitation is particularly relevant, with RCTs on AR displaying an overrepresentation of patients with severe disease and not providing sufficiently detailed information on the impact of comorbidities on treatment effectiveness. Mobile health (mHealth) applications provide an opportunity to collect large-scale patient-reported data that can complement traditional trial evidence and broaden our understanding of treatment effectiveness in routine care. However, to adequately use mHealth data for that purpose, approaches to adequately deal with confounding must be applied.
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Lourenço-Silva, N., Sousa-Pinto, B., Bognanni, A., Martini, M., Ordak, M., Paoletti, G., Gil-Mata, S., Amaral, R., Bedbrook, A., Bonadonna, P., Brussino, L., Canonica, G. W., Coutinho-Almeida, J., Cruz, A. A., Czarlewski, W., Dykewicz, M., Giovannini, M., Gemicioglu, B., Ivancevich, J. C., … Vieira, R. J. (2026). Assessment of the Effectiveness of Allergic Rhinitis Medications Using a Target Trial Emulation Approach Based on Mobile Health Data. Clinical & Experimental Allergy, 56(2), 176–179. https://doi.org/10.1111/cea.70173
Editora
Wiley