• 1. The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510000, P. R. China;
  • 2. The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510000, P. R. China;
  • 3. Key Unit of Methodology in Clinical Research, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510000, P. R. China;
WEN Zehuai, Email: wenzh@gzucm.edu.cn; ZHOU Li, Email: zhouli@gzucm.edu.cn
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Objective This study aimed to revise the perioperative recovery scale for integrative medicine (PRSIM) based on item response theory (IRT). Methods Under the guidance of IRT, a total of 349 patient data collected during the development of the original version of PRSIM at Guangdong Provincial Hospital of Chinese Medicine were used. Principal component analysis was performed using SPSS 18.0 software to test the unidimensionality. The R language was utilized for parameter estimation, including discrimination coefficient, difficulty parameters and information content, as well as drawing item characteristic curves to assess item quality and estimate item functioning differences. A comprehensive screening process was carried out by combining expert consultations, patient evaluations, and discussions within a core group. Results The degree of discrimination of all items ranged from −0.535 to 2.195. The difficulty coefficient ranged from −10.343 to 5.461, and the average information content of all items ranged from 0.043 to 1.075. Based on the criteria for parameter selection, nine items were retained. The results of expert consultations indicated the removal of 5 items and the modification of 7 items. After discussion within the core group, a final decision was made to remove 5 items. Conclusion Based on a synthesis of IRT and expert consultation feedback, and following discussions within the core group, a revised version comprising 15 items is retained and modified from the original 20 items.

Citation: LIU Bingqing, WEN Zehuai, ZHOU Li. Revision of the perioperative recovery scale for integrative medicine based on item response theory. Chinese Journal of Evidence-Based Medicine, 2024, 24(4): 439-444. doi: 10.7507/1672-2531.202308075 Copy

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