Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR): Rasch psychometric analysis and online application

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Standard

Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR) : Rasch psychometric analysis and online application. / Xing, Huayi; Liu, Nan; Li, Kun; Cui, Guoqing; Biering-Sørensen, Fin.

I: Computational and Structural Biotechnology Journal, Bind 24, 2024, s. 258-263.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Xing, H, Liu, N, Li, K, Cui, G & Biering-Sørensen, F 2024, 'Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR): Rasch psychometric analysis and online application', Computational and Structural Biotechnology Journal, bind 24, s. 258-263. https://doi.org/10.1016/j.csbj.2024.03.029

APA

Xing, H., Liu, N., Li, K., Cui, G., & Biering-Sørensen, F. (2024). Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR): Rasch psychometric analysis and online application. Computational and Structural Biotechnology Journal, 24, 258-263. https://doi.org/10.1016/j.csbj.2024.03.029

Vancouver

Xing H, Liu N, Li K, Cui G, Biering-Sørensen F. Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR): Rasch psychometric analysis and online application. Computational and Structural Biotechnology Journal. 2024;24:258-263. https://doi.org/10.1016/j.csbj.2024.03.029

Author

Xing, Huayi ; Liu, Nan ; Li, Kun ; Cui, Guoqing ; Biering-Sørensen, Fin. / Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR) : Rasch psychometric analysis and online application. I: Computational and Structural Biotechnology Journal. 2024 ; Bind 24. s. 258-263.

Bibtex

@article{66fb492291e544e18758e882d84a19df,
title = "Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR): Rasch psychometric analysis and online application",
abstract = "Spinal Cord Independence Measure (SCIM) was an important functional outcome measure specifically designed for spinal cord injury (SCI) patients, with the self-reported version of SCIM (SCIM-SR) published in 2013. This study aims to translate the SCIM-SR into Chinese, and to investigate the validity of Chinese SCIM-SR among SCI patients. This Chinese version of SCIM-SR was translated into Chinese in a standardized approach, and then filled out by a sample of patients with SCI (n = 205) within 3 days after admission. Validity of Chinese SCIM-SR was then analyzed using Rasch analysis and principal component analysis. The subscale Selfcare and subscale Mobility showed good fit to the Rasch model, with no significance found in Chi-square test results for item-trait interaction, using Bonferroni adjustment for the significant level (χ2 =18.125, P = 0.111; χ2 =33.629, P = 0.006). Mean fit residual for items and persons of each subscale were within ± 2.5. The model fit of the subscale of Respiration and Sphincter Management was not satisfactory even after deleting one item and merging two items with local dependence. However, Kaiser-Meyer-Olkin test was > 0.50 in total score and all the subscales of Chinese SCIM-SR, and P < 0.05 in the Bartlett's test. There was no differential item functioning for gender, time post injury, age, and etiology in any of the three subscales. An online version of Chinese SCIM-SR was also developed. It is concluded that the SCIM-SR in Chinese is valid for application in individuals with SCI. SCIM-SR is considered as an important tool for self-reporting functional status from SCI individuals{\textquoteright} perspective.",
keywords = "Outcome measure, Rasch analysis, Self-report, Spinal Cord Independence Measure, Spinal cord injury, Validity",
author = "Huayi Xing and Nan Liu and Kun Li and Guoqing Cui and Fin Biering-S{\o}rensen",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors",
year = "2024",
doi = "10.1016/j.csbj.2024.03.029",
language = "English",
volume = "24",
pages = "258--263",
journal = "Computational and Structural Biotechnology Journal",
issn = "2001-0370",
publisher = "Research Network of Computational and Structural Biotechnology (RNCSB)",

}

RIS

TY - JOUR

T1 - Translation and validation of the Chinese self-report version of Spinal Cord Independence Measure (SCIM-SR)

T2 - Rasch psychometric analysis and online application

AU - Xing, Huayi

AU - Liu, Nan

AU - Li, Kun

AU - Cui, Guoqing

AU - Biering-Sørensen, Fin

N1 - Publisher Copyright: © 2024 The Authors

PY - 2024

Y1 - 2024

N2 - Spinal Cord Independence Measure (SCIM) was an important functional outcome measure specifically designed for spinal cord injury (SCI) patients, with the self-reported version of SCIM (SCIM-SR) published in 2013. This study aims to translate the SCIM-SR into Chinese, and to investigate the validity of Chinese SCIM-SR among SCI patients. This Chinese version of SCIM-SR was translated into Chinese in a standardized approach, and then filled out by a sample of patients with SCI (n = 205) within 3 days after admission. Validity of Chinese SCIM-SR was then analyzed using Rasch analysis and principal component analysis. The subscale Selfcare and subscale Mobility showed good fit to the Rasch model, with no significance found in Chi-square test results for item-trait interaction, using Bonferroni adjustment for the significant level (χ2 =18.125, P = 0.111; χ2 =33.629, P = 0.006). Mean fit residual for items and persons of each subscale were within ± 2.5. The model fit of the subscale of Respiration and Sphincter Management was not satisfactory even after deleting one item and merging two items with local dependence. However, Kaiser-Meyer-Olkin test was > 0.50 in total score and all the subscales of Chinese SCIM-SR, and P < 0.05 in the Bartlett's test. There was no differential item functioning for gender, time post injury, age, and etiology in any of the three subscales. An online version of Chinese SCIM-SR was also developed. It is concluded that the SCIM-SR in Chinese is valid for application in individuals with SCI. SCIM-SR is considered as an important tool for self-reporting functional status from SCI individuals’ perspective.

AB - Spinal Cord Independence Measure (SCIM) was an important functional outcome measure specifically designed for spinal cord injury (SCI) patients, with the self-reported version of SCIM (SCIM-SR) published in 2013. This study aims to translate the SCIM-SR into Chinese, and to investigate the validity of Chinese SCIM-SR among SCI patients. This Chinese version of SCIM-SR was translated into Chinese in a standardized approach, and then filled out by a sample of patients with SCI (n = 205) within 3 days after admission. Validity of Chinese SCIM-SR was then analyzed using Rasch analysis and principal component analysis. The subscale Selfcare and subscale Mobility showed good fit to the Rasch model, with no significance found in Chi-square test results for item-trait interaction, using Bonferroni adjustment for the significant level (χ2 =18.125, P = 0.111; χ2 =33.629, P = 0.006). Mean fit residual for items and persons of each subscale were within ± 2.5. The model fit of the subscale of Respiration and Sphincter Management was not satisfactory even after deleting one item and merging two items with local dependence. However, Kaiser-Meyer-Olkin test was > 0.50 in total score and all the subscales of Chinese SCIM-SR, and P < 0.05 in the Bartlett's test. There was no differential item functioning for gender, time post injury, age, and etiology in any of the three subscales. An online version of Chinese SCIM-SR was also developed. It is concluded that the SCIM-SR in Chinese is valid for application in individuals with SCI. SCIM-SR is considered as an important tool for self-reporting functional status from SCI individuals’ perspective.

KW - Outcome measure

KW - Rasch analysis

KW - Self-report

KW - Spinal Cord Independence Measure

KW - Spinal cord injury

KW - Validity

U2 - 10.1016/j.csbj.2024.03.029

DO - 10.1016/j.csbj.2024.03.029

M3 - Journal article

C2 - 38623183

AN - SCOPUS:85189933388

VL - 24

SP - 258

EP - 263

JO - Computational and Structural Biotechnology Journal

JF - Computational and Structural Biotechnology Journal

SN - 2001-0370

ER -

ID: 388783543