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6. Adaptation and validation of the Evidence-based Practice Profile Questionnaire (EBP2Q) for clinical postgraduates in a Chinese context.

Author

Jia, Yitong, Zhuang, Xinqi, Zhang, Yao, Meng, Ge, Qin, Shijia, Shi, Wen-Xin, Wu, Xiaojian, and Zhang, Yin-Ping

Subjects
CONFIRMATORY factor analysis, EXPLORATORY factor analysis, CRONBACH'S alpha, PRINCIPAL components analysis, MEDICAL teaching personnel, CHINESE language, FACTOR structure
Abstract

Background: Evidence-based practice (EBP) is an essential approach of optimizing patient outcomes and driving progress in clinical practice. As an important reserve talent of medical staff and researchers, the clinical postgraduates are expected to become the backbones of supporting the implementation of EBP in clinical units after graduation. The assessment of their EBP learning outcomes is an important issue, yet few tools have been developed specifically in Mainland China. The purpose of this study is to adapt the Evidence-Based Practice Profile Questionnaire (EBP2Q) to Mainland China's cultural context and to evaluate the psychometric properties of the Chinese EBP2Q in clinical postgraduates. Methods: Cross-cultural modification, including translating the original EBP2Q into Chinese was implemented according to established guidelines. A pilot study was carried out in Mainland China among 30 clinical postgraduates. A subsequent validation study was conducted among 633 clinical postgraduates majoring in clinical medicine, stomatology and nursing from Mainland China. Construct validity was assessed by exploratory factor analysis (n = 313), together with confirmatory factor analysis (n = 320). Reliability was determined by internal consistency and test-retest reliability. Results: The Chinese EBP2Q consisted of 40 items. The content validity index of the Chinese EBP2Q achieved 0.938 at an acceptable level. Principal component analysis resulted in a four-factor structure explaining 61.586% of the total variance. All fitting indices satisfied the standard based upon confirmatory factor analyses, indicating that the four-factor structure contributed to an ideal model fit. The internal consistency appeared high for the Chinese EBP2Q, reaching a Cronbach's alpha value of 0.926. Test–retest reliability was 0.868 and the split-half coefficient was 0.925. Conclusion: Chinese version of EBP2Q possesses adequate validity, test-retest reliability and internal consistency. It is a promising questionnaire to be adopted by Chinese medical educators in designing their course and curriculum, or by clinical postgraduates for self-assessment of EBP learning. [ABSTRACT FROM AUTHOR]

Published
2023
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7. Optimization of Demosaicing Algorithm for Autofluorescence Imaging System

Author

Cheng Hao, Qin Shijia, Guozheng Yan, Xiao Jie, Zhiwu Wang, and Kuang Shuai

Subjects
Multidisciplinary, Demosaicing, Computer science, Diagonal, B channel, 020206 networking & telecommunications, 02 engineering and technology, Colour recovery, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Focus (optics), Algorithm, Interpolation, Data transmission, Communication channel
Abstract

Autofluorescence imaging (AFI) systems are widely used in the detection of precancerous lesions. Fluorescence images of precancerous tissue are usually red (R) or blue (B), so this kind of system has high requirement for colour recovery, especially in R and B channels. Besides, AFI system requires bulk data transmission with no time delay. Existing colour recovery algorithms focus more on green (G) channel, overlooking R and B channels. Although the state-of-art demosaicing algorithms can perform well in colour recovery, they often have high computational cost and high hardware requirements. We propose an efficient interpolation algorithm with low complexity to solve the problem. When calculating R and B channel values, we innovatively propose the diagonal direction to select the interpolation direction, and apply colour difference law to make full use of the correlation between colour channels. The experimental results show that the peak signal-to-noise ratios (PSNRs) of G, R and B channels reach 37.54, 37.40 and 38.22 dB, respectively, which shows good performance in recovery of R and B channels. In conclusion, the algorithm proposed in this paper can be used as an alternative to the existing demosaicing algorithms for AFI system.

Published
2019

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