Evidence map›Paper›PMID 30408054›Full record

ArticlePloS one2018

Reliability, validity and responsiveness of the Chinese version of the Rotator Cuff Quality of Life Index (RC-QOL) in patients with rotator cuff disorders.

Wei Wang, Chen Zhang, Lin Cui, Qing-Yun Xie, Zhen-Yu Jia, Wei Zheng

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Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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5citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wei WangDepartment of Orthopedics, Chengdu Military General Hospital, Chengdu city, People's Republic of China.
Chen ZhangDepartment of Orthopedics, Changhai Hospital, Shanghai, People's Republic of China.
Lin CuiDepartment of Orthopedics, Chengdu Military General Hospital, Chengdu city, People's Republic of China.
Qing-Yun XieDepartment of Orthopedics, Chengdu Military General Hospital, Chengdu city, People's Republic of China.
Zhen-Yu JiaDepartment of Orthopedics, Changhai Hospital, Shanghai, People's Republic of China.
Wei ZhengDepartment of Orthopedics, Chengdu Military General Hospital, Chengdu city, People's Republic of China.ORCID 0000-0002-5496-4812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Rotator Cuff Quality of Life Index (RC-QOL) is a scale designed to evaluate the impact of rotator cuff (RC) disorders on the general quality of life of patients. Our study aims to adapt the RC-QOL into Chinese and to assess its reliability, validity and responsiveness in Chinese patients with RC disorders.

methodsFirst, we developed the Chinese version of RC-QOL (C-RC-QOL) through a five-step procedure. Next, the recruited patients gave three rounds of responses to the C-RC-QOL, Medical Outcomes Study Short Form 36 (SF-36) and Oxford Shoulder Score scales (OSS). Then, we calculated the Cronbach's alpha, standard error of measurement (SEM), minimally detectable change (MDC), intra-class correlation coefficient (ICC), Pearson's correlation coefficient (r), effect size (ES) and standardized response mean (SRM) to evaluate the reliability, validity and responsiveness of the C-RC-QOL respectively. The unidimensionality of each subscale was assessed by principal component analysis (PCA) of the residuals.

resultsOverall, 124 patients with RC disorders successfully completed the first two rounds of the scales, and 108 patients completed the last round of the scales. Good or excellent internal consistency (Cronbach's alpha = 0.953) was found in the overall scale and subscales of the C-RC-QOL, and good or excellent test-retest reliability (ICC = 0.854) was found as well. The SEM and MDC values of the C-RC-QOL were 4.6 and 12.8 respectively. Moderate, good or excellent correlations (r = 0.452-0.839) were obtained between the physical subscales of the C-RC-QOL and the OSS, as well as the physical subscales of the SF-36; similar results were obtained between the emotion subscale of the C-RC-QOL and the mental subscales of the SF-36 (r = 0.490-0.733), which, illustrated the good validity of the C-RC-QOL. In addition, high responsiveness was observed in the overall scale and subscales of the C-RC-QOL (ES = 1.77, SRM = 1.98). The unidimensionality of five subscales was respected according to PCA of the residuals.

conclusionsThe C-RC-QOL scale is reliable, valid and responsive for the evaluation of Chinese-speaking patients with RC disorders and it would be an effective instrument.

Indexed as

LanguageQuality of LifeRotator CuffRotator Cuff InjuriesAdultAgedFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsYoung Adult

Identifiers

PMID30408054
PMCPMC6224054

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.