Bridging Global Disparities in Drug Allergy Through AI-Assisted Training for Non-Specialists: Findings From the Multinational ADAPT-2 Course
- Author(s)
- Mak, HWF; Meng, J; Chung, FKL; Lee, JTY; Aberathna, IS; Amarasekara, U; Ranasinghe, TND; Jayamali, J; Yang, Q; Zhou, M; Chen, L; Huang, JX; Shi, W; Kulkarni, R; Peter, JG; Trubiano, JA; Jeewandara, KC; Lucas, M; Li, PH;
- Journal Title
- Clinical and Experimental Allergy
- Publication Type
- Online publication before print
- Abstract
- BACKGROUND: Mislabelled 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. METHODS: Non-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). RESULTS: Of 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). CONCLUSIONS: Deficits 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 REGISTRATION: ADAPT: NCT06399601.
- Keywords
- artificial intelligence; disparities; drug allergy; education; non‐allergist
- Department(s)
- Infectious Diseases
- Publisher's Version
- https://doi.org/10.1111/cea.70213
- Open Access at Publisher's Site
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Creation Date: 2026-02-03 03:57:03
Last Modified: 2026-02-03 03:57:13