Author
Listed:
- Xianchai Lin
- Ziyan Chen
- Ling Jin
- Wuyou Gao
- Bo Qu
- Yajing Zuo
- Rongjiao Liu
- Minbin Yu
Abstract
Purpose: To analyze the validity of the Hospital Anxiety and Depression Scale (HADS) among Chinese cataract population. Methods: A total of 275 participants with unilateral or bilateral cataract were recruited to complete the Chinese version of HADS. The patients' demographic and ophthalmic characteristics were documented. Rasch analysis was conducted to examine the model fit statistics, the thresholds ordering of the polytomous items, targeting, person separation index and reliability, local dependency, unidimentionality, differential item functioning (DIF) and construct validity of the HADS individual and summary measures. Results: Rasch analysis was performed on anxiety and depression subscales as well as HADS-Total score respectively. The items of original HADS-Anxiety, HADS-Depression and HADS-Total demonstrated evidence of misfit of the Rasch model. Removing items A7 for anxiety subscale and rescoring items D14 for depression subscale significantly improved Rasch model fit. A 12-item higher order total scale with further removal of D12 was found to fit the Rasch model. The modified items had ordered response thresholds. No uniform DIF was detected, whereas notable non-uniform DIF in high-ability group was found. The revised cut-off points were given for the modified anxiety and depression subscales. Conclusion: The modified version of HADS with HADS-A and HADS-D as subscale and HADS-T as a higher-order measure is a reliable and valid instrument that may be useful for assessing anxiety and depression states in Chinese cataract population.
Suggested Citation
Xianchai Lin & Ziyan Chen & Ling Jin & Wuyou Gao & Bo Qu & Yajing Zuo & Rongjiao Liu & Minbin Yu, 2017.
"Rasch analysis of the hospital anxiety and depression scale among Chinese cataract patients,"
PLOS ONE, Public Library of Science, vol. 12(9), pages 1-14, September.
Handle:
RePEc:plo:pone00:0185287
DOI: 10.1371/journal.pone.0185287
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