ArticleClinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology2026
Bridging Global Disparities in Drug Allergy Through AI-Assisted Training for Non-Specialists: Findings From the Multinational ADAPT-2 Course.
Article in Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06399601 (A Training Program of Drug Allergy for Healthcare Professionals), which is not on this map. Not yet cited in PubMed.
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A Training Program of Drug Allergy for Healthcare Professionals: A Randomized Controlled Trial
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19 authors.
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Abstract
backgroundMislabelled drug allergy (DA) remains a global public health challenge. A prior randomised trial (ADAPT) demonstrated that an intensive educational course improved DA knowledge and confidence among non-specialists. However, ADAPT was restricted to English-speaking participants and its generalisability remains unknown. To address this, a multinational implementation study expanding ADAPT (ADAPT-2) was performed.
methodsNon-allergist physicians from Colombo (Sri Lanka), Guangzhou and Shenzhen (Mainland China), Hong Kong (Special Administrative Region of China) and Perth (Australia) completed a standardised DA educational course. In Mainland China, training was delivered via AI-assisted video localisation (converted into Mandarin while preserving the speaker's voice with lip-synced adaptation). DA knowledge, confidence and practice were assessed before and after completion. Subgroup analyses compared pre-post changes between Advanced Economies (AE: Australia, Hong Kong) and Emerging Economies (EE: Mainland China, Sri Lanka).
resultsOf 181 participants, overall baseline knowledge (53.5% ± 17.2%) and confidence (47.5% ± 22.7%) scores were suboptimal. EE participants had a lower knowledge level than AE (49.1% ± 15.5% vs. 70.1% ± 12.7%; p < 0.001). Following ADAPT-2, both knowledge (72.5% ± 16.0%, p < 0.001) and confidence (71.3% ± 17.5%, p < 0.001) scores significantly improved across all groups. ADAPT-2 delivered by AI-assisted video localisation was non-inferior to the English course in effectiveness (p > 0.05) and achieved high participant satisfaction (98.9% as 'somewhat clear' or better in clarity).
conclusionsDeficits in DA knowledge persist widely among non-specialists, with marked disparities between AE and EE. ADAPT-2 bridged these gaps by universal improvements in both DA knowledge and confidence. AI-assisted training represents a scalable, equitable strategy for global implementation of standardised and evidence-based DA education.
trial registrationADAPT: NCT06399601.
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