Zeng Jie Ye1, Mu Zi Liang2,3, Hao Wei Zhang4, Peng Fei Li2, Xue Ren Ouyang5, Yuan Liang Yu6, Mei Ling Liu7, Hong Zhong Qiu8. 1. Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong Province, China. zengjieye@qq.com. 2. Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong Province, China. 3. Guangdong Academy of Population Development, Guangzhou, 510600, Guangdong Province, China. 4. Harbin Medical University- Daqing, Daqing, 163319, Heilongjiang Province, China. 5. The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong Province, China. 6. South China University of Technology, Guangzhou, 510641, Guangdong Province, China. 7. Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong Province, China. 8. College of Economics and Management, Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong Province, China. 1047052548@qq.com.
Abstract
OBJECTIVE: Classic theory test has been used to develop and validate the 25-item Resilience Scale Specific to Cancer (RS-SC) in Chinese patients with cancer. This study was designed to provide additional information about the discriminative value of the individual items tested with an item response theory analysis. METHODS: A two-parameter graded response model was performed to examine whether any of the items of the RS-SC exhibited problems with the ordering and steps of thresholds, as well as the ability of items to discriminate patients with different resilience levels using item characteristic curves. RESULTS: A sample of 214 Chinese patients with cancer diagnosis was analyzed. The established three-dimension structure of the RS-SC was confirmed. Several items showed problematic thresholds or discrimination ability and require further revision. CONCLUSIONS: Some problematic items should be refined and a short-form of RS-SC maybe feasible in clinical settings in order to reduce burden on patients. However, the generalizability of these findings warrants further investigations.
OBJECTIVE: Classic theory test has been used to develop and validate the 25-item Resilience Scale Specific to Cancer (RS-SC) in Chinese patients with cancer. This study was designed to provide additional information about the discriminative value of the individual items tested with an item response theory analysis. METHODS: A two-parameter graded response model was performed to examine whether any of the items of the RS-SC exhibited problems with the ordering and steps of thresholds, as well as the ability of items to discriminate patients with different resilience levels using item characteristic curves. RESULTS: A sample of 214 Chinese patients with cancer diagnosis was analyzed. The established three-dimension structure of the RS-SC was confirmed. Several items showed problematic thresholds or discrimination ability and require further revision. CONCLUSIONS: Some problematic items should be refined and a short-form of RS-SC maybe feasible in clinical settings in order to reduce burden on patients. However, the generalizability of these findings warrants further investigations.
Authors: Bryce B Reeve; Ron D Hays; Jakob B Bjorner; Karon F Cook; Paul K Crane; Jeanne A Teresi; David Thissen; Dennis A Revicki; David J Weiss; Ronald K Hambleton; Honghu Liu; Richard Gershon; Steven P Reise; Jin-shei Lai; David Cella Journal: Med Care Date: 2007-05 Impact factor: 2.983
Authors: Zeng Jie Ye; Mu Zi Liang; Hong Zhong Qiu; Mei Ling Liu; Guang Yun Hu; Yun Fei Zhu; Zhen Zeng; Jing Jing Zhao; Xiao Ming Quan Journal: Breast Cancer Res Treat Date: 2016-07-11 Impact factor: 4.872
Authors: Zeng Jie Ye; Hong Zhong Qiu; Peng Fei Li; Mu Zi Liang; Shu Ni Wang; Xiao Ming Quan Journal: Eur J Oncol Nurs Date: 2017-01-19 Impact factor: 2.398
Authors: Zeng Jie Ye; Hong Zhong Qiu; Peng Fei Li; Peng Chen; Mu Zi Liang; Mei Ling Liu; Yuan Liang Yu; Shu Ni Wang; Xiao Ming Quan Journal: Eur J Oncol Nurs Date: 2017-02-12 Impact factor: 2.398
Authors: Zeng Jie Ye; Mu Zi Liang; Peng Fei Li; Zhe Sun; Peng Chen; Guang Yun Hu; Yuan Liang Yu; Shu Ni Wang; Hong Zhong Qiu Journal: Qual Life Res Date: 2017-11-08 Impact factor: 4.147
Authors: Mu Zi Liang; Ying Tang; M Tish Knobf; Alex Molassiotis; Peng Chen; Guang Yun Hu; Zhe Sun; Yuan Liang Yu; Zeng Jie Ye Journal: J Cancer Surviv Date: 2022-08-06 Impact factor: 4.062
Authors: S Li; D Y T Fong; J Y H Wong; K Wilkinson; C Shapiro; E P H Choi; B McPherson; E Y Y Lau; C L K Lam; L X Huang; M S M Ip Journal: Qual Life Res Date: 2020-05-16 Impact factor: 4.147