Emerging Validation for the Adapted Chinese Version of Quick Aphasia Battery

Abstract

Purpose

The quick aphasia battery (QAB) was designed to evaluate language disorder from multi-dimension efficiently, which had been translated into several languages but lacked in Chinese. This study conducted cross-cultural adaption for the Chinese version and verified its psychometric properties.

Material and Methods

First, the Chinese Version of quick aphasia battery (CQAB) was adapted following WHO literature guidelines with steps of forward translation, expert panel, back-translation, pre-test, and interview, then develop the final version. Second, the psychometric properties tests were conducted in 128 post-stroke patients to identify if aphasia happens and verify the validity and reliability of CQAB.

Results

The Cronbach’s alpha coefficient of the CQAB is 0.962, test–retest reliability 0.849, and inter-rater reliability 0.998. Content validity 0.917, KMO 0.861, exploratory factor analysis extracted 2 factors named “language understanding” and “language program”, cumulative variance contribution rate is 91.588% >50%. Calibration association validity 0.977. Sensitivity 0.977, specificity 0.932, with the optimal cutoff point is 8.86.

Conclusion

The study supported CQAB, which adapted following standardized guidelines, is reliable and effective to assess language impairment in post-stroke patients.

Keywords:

• adaption
• cross-cultural
• post-stroke
• reliability
• validity

Ethics Approval

The QAB copyright owners granted us to adapt and use the original version by E-mail. The Ethics Committee of Shanghai East Hospital approved the study (No.2022238). Inform consent was obtained before the study for all participants involved. The Declaration of Helsinki was adhered throughout the whole process.

Acknowledgments

Thanks to Dr. Haiping Yu, who helped me a lot and gave instructions while designing and conducting the study. Zhi Qi and Aili Wang, who are my classmates, gave lots of mental support and proofreading for this paper. YongQing Zhang supports a lot in statistical analysis for this article.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

Additional information

Funding

Research grants from Health Science and Technology of Pudong Health Bureau of Shanghai (Grant No. PW2022A-03); the Academic Leaders Training Program of Pudong Health Bureau of Shanghai (Grant No. PWRd2022-16); the Leading Talents in the Three Year Action Plan for Discipline Construction of the School of Nursing (Preparatory) at Tongji University School of Medicine (Grant No. JS2210204); and Important Weak Subject Construction Project of Shanghai Pudong New Area Health Commission (Grant No. PWZbr2022-04).