Translation and validation of the Chinese version of Patient-completed Asthma Knowledge Questionnaire and its implementation in patient education

• Published in: Journal of thoracic disease 2022-04, Vol.14 (4), p.905-918
• Main Authors: Peng, Bo, Sun, Lin, Shang, Yan, Zhang, Yajuan, Gao, Xiwen, Ye, Ling, Jin, Meiling, He, Wei, Jie, Zhijun, Du, Chunling, Zhou, Lei, Liu, Yang, Song, Xiaolian, Du, Juan, Zhang, Fengying, Gong, Yi, Shi, Yuheng, Bao, Wuping, Chen, Haihua, Wang, Jin, Wen, Chijun, Li, Weihao, Zhao, Dandan, Wang, Gang, Zhou, Xin, Tang, Wei
• Format: Article
• Language: English
• Subjects: Original
• ISSN: 2072-1439; 2077-6624
• DOI: 10.21037/jtd-21-1604

Poor control of asthma results from many factors, partly due to inadequate knowledge towards asthma among patients. It is necessary to know patients' knowledge level before education. However, there is no accepted instrument to evaluate knowledge of asthma in Chinese patients with asthma. The study aims to develop a Chinese version of Patient-completed Asthma Knowledge Questionnaire (PAKQ) to assess its reliability, validity, and responsiveness for testing its clinical application in Chinese adult patients with asthma. After translation, back-translation, and cross-cultural adaptation of the PAKQ into Chinese version, a survey of patients with asthma (n=464) in China was conducted. Demographics and clinical data were collected in addition to questionnaires concerning cognition of asthma, education, history, and asthma control test score. The PAKQ was then completed. 14±4 days after the initial assessment, the participants completed the retested questionnaire and again completed the questionnaire immediately after education. The reliability and the construct validity were evaluated. The optimal cut-off points for predicting disease knowledge among asthma patients were determined using the Youden index method. The Chinese version of PAKQ showed high internal consistency (Cronbach's alpha =0.888) at baseline and an acceptable 2-week test-retest reliability (ICC =0.932, r=0.874). On the basis of large modification indices (>10), this four-factor questionnaire was found to fit the data satisfactorily (χ /df =1.695, RMSEA =0.039, GFI =0.856, CFI =0.885, and SRMR =0.058). Paired -tests showed significant changes on pre-educational and post-educational tests (t=22.83, df=463, P