TY - JOUR
T1 - Translation and Cross-Cultural Adaptation of the Chronic Rhinosinusitis Control Test for Global Use
AU - Pae, Hye K.
AU - Xia, Detong
AU - Sun, Hanzhong
AU - Chen, Yudi
AU - Yi, Kwangoh
AU - Song, Minjeong
AU - Sato, Eriko
AU - Abasi, Ali R.
AU - Ballah, Jody
AU - Babarczy, Anna
AU - Bertram, Raymond
AU - Biernacka, Agnieszka
AU - Chan, Mable
AU - Civera, Teresa
AU - Dubinina, Irina
AU - Erdener, Doğu
AU - García, María Isabel Maldonado
AU - Garib, Ali
AU - Häikiö, Tuomo
AU - Fuk-chuen, H. O.
AU - Hung, Li Yu
AU - Joshi, R. Malatesha
AU - Kanerva, Oksana
AU - Baath, Kiranpreet Kaur
AU - Köhnlein, Björn
AU - Kučera, Dalibor
AU - Luegi, Paula
AU - Mali, Yustinus Calvin Gai
AU - Medina, Sivan
AU - Milosavljević, Stefan
AU - Mirza, Amna
AU - Mwamzandi, Mohamed Y.
AU - Nami, Fatemeh
AU - Niculescu-Gorpin, Anabella Gloria
AU - Padilla, Portia
AU - Panayiotou, Georgia
AU - Perea, Manuel
AU - Perondi, Luciano
AU - Phạm, Hiển
AU - Puggaard-Rode, Rasmus
AU - Rimzhim, Anurag
AU - Sarkar, Sreeparna
AU - Share, David L.
AU - Silva, Gláucia V.
AU - Simões, Antônio R.M.
AU - Stormbom, Charlotte
AU - Suthiwan, Titima
AU - Tamaoka, Katsuo
AU - Tasseva-Kurktchieva, Mila
AU - Urbanik, Paweł
AU - Van, An
AU - Phillips, Katie M.
AU - Sedaghat, Ahmad R.
N1 - Publisher Copyright:
© 2026 The Author(s). International Forum of Allergy & Rhinology published by Wiley Periodicals LLC on behalf of ARS-AAOA, LLC.
PY - 2026
Y1 - 2026
N2 - Introduction: The Chronic Rhinosinusitis Control Test (CRCT) is a patient-reported outcome measure (PROM) written in English that is psychometrically validated to measure chronic rhinosinusitis control. Because the availability of translated PROMs is a driver of data equity—collection of data that is fair and generally representative—our objective was to create a library of translated, cross-culturally adapted versions of the CRCT that could ultimately be used for patients worldwide. Methods: A hybrid approach leveraging generative artificial intelligence (genAI) in collaboration with expert human linguists was employed for translation and cross-cultural adaptation of the CRCT. For each target language, forward translations were performed with three large language models (LLMs) (ChatGPT, Copilot, and Perplexity) after which an expert human linguist provided additional revisions that were used to create a consensus final translation. Backward translations were performed using LLMs (Claude, Copilot, and Perplexity). The accuracy and validity of translations at each step were assessed qualitatively and quantitatively. Results: The translation and cross-cultural adaptation of the CRCT was achieved into 37 languages: Arabic, Bengali, Brazilian Portuguese, Bulgarian, Cantonese Chinese, Czech, Danish, Dutch, European Portuguese, Filipino, Finnish, French, German, Greek, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Mandarin Chinese, Norwegian, Persian, Polish, Punjabi, Romanian, Russian, Serbo-Croatian, Spanish, Swahili, Swedish, Thai, Turkish, Ukrainian, Urdu, and Vietnamese. These translated, cross-culturally adapted versions of the CRCT are made available in this article. Conclusion: Translated, cross-culturally adapted versions of the CRCT developed in this study promote data equity by serving as a basis for psychometric validation of the CRCT for worldwide use.
AB - Introduction: The Chronic Rhinosinusitis Control Test (CRCT) is a patient-reported outcome measure (PROM) written in English that is psychometrically validated to measure chronic rhinosinusitis control. Because the availability of translated PROMs is a driver of data equity—collection of data that is fair and generally representative—our objective was to create a library of translated, cross-culturally adapted versions of the CRCT that could ultimately be used for patients worldwide. Methods: A hybrid approach leveraging generative artificial intelligence (genAI) in collaboration with expert human linguists was employed for translation and cross-cultural adaptation of the CRCT. For each target language, forward translations were performed with three large language models (LLMs) (ChatGPT, Copilot, and Perplexity) after which an expert human linguist provided additional revisions that were used to create a consensus final translation. Backward translations were performed using LLMs (Claude, Copilot, and Perplexity). The accuracy and validity of translations at each step were assessed qualitatively and quantitatively. Results: The translation and cross-cultural adaptation of the CRCT was achieved into 37 languages: Arabic, Bengali, Brazilian Portuguese, Bulgarian, Cantonese Chinese, Czech, Danish, Dutch, European Portuguese, Filipino, Finnish, French, German, Greek, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Mandarin Chinese, Norwegian, Persian, Polish, Punjabi, Romanian, Russian, Serbo-Croatian, Spanish, Swahili, Swedish, Thai, Turkish, Ukrainian, Urdu, and Vietnamese. These translated, cross-culturally adapted versions of the CRCT are made available in this article. Conclusion: Translated, cross-culturally adapted versions of the CRCT developed in this study promote data equity by serving as a basis for psychometric validation of the CRCT for worldwide use.
KW - AI
KW - ChatGPT
KW - artificial intelligence
KW - chronic rhinosinusitis
KW - chronic rhinosinusitis control test
KW - claude
KW - copilot
KW - cross-cultural adaptation
KW - perplexity
KW - translation
UR - https://www.scopus.com/pages/publications/105041337904
UR - https://www.scopus.com/pages/publications/105041337904#tab=citedBy
U2 - 10.1002/alr.70194
DO - 10.1002/alr.70194
M3 - Article
AN - SCOPUS:105041337904
SN - 2042-6976
JO - International Forum of Allergy and Rhinology
JF - International Forum of Allergy and Rhinology
ER -