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ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 38 Issue 11
Nov.  2022
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Article Contents

Evaluation of quality of life instruments for chronic diseases-chronic hepatitis(V2.0)based on classical test theory and item response theory

DOI: 10.3969/j.issn.1001-5256.2022.11.007
Research funding:

National Natural Science Foundation of China (82160801);

Yunnan Provincial Department of Science and Technology-Kunming Medical University Basic Research Program (Kunming Medical Joint Special Project) (2018FE001(-214))

More Information
  • Corresponding author: LI Wu, liwukm@qq.com(ORCID: 0000-0002-1222-3629); CHEN Yihui, yihuichenyuan@sina.com(ORCID: 0000-0002-9896-6086)
  • Received Date: 2022-07-12
  • Accepted Date: 2022-08-15
  • Published Date: 2022-11-20
  •   Objective  Each item of the Chronic Hepatitis Quality of Life Scale (V2.0) was thoroughly analyzed and evaluated according to classical test theory (CTT) and item response theory (IRT).  Methods  The QLICD-CH (V2.0) scale was used to assess the life quality of 226 patients with chronic hepatitis who were hospitalized in the Department of Infectious Diseases from March 2019 to January 2020. By using CTT's coefficient of variation method, factor analysis method, Cronbach's alpha coefficient method and correlation coefficient method, macroscopic statistical analysis on the scale results was performed. IRT was used to microscopically analyze the information content, discrimination coefficient and difficulty parameters of each item.  Results  CTT analysis revealed that 36 items of the QLICD-CH (V2.0) scale satisfied three of the four statistical methods. IRT analysis showed that the average information content of 36 items was greater than 0.108, with the degree of discrimination ranging from -0.387 to 3.574; the degree of discrimination of 40 items was greater than 0.30; the difficulty coefficient of each item ranged from -14.805 to 9.057, with 31 items conformed to [-4, 4] and a monotonically increasing trend from b1 to b4.  Conclusion  The majority of items on the QLICD-CH (V2.0) scale perform well, but there are a few items that could be improved, optimized, or removed.

     

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