医学
判别效度
结构效度
头颈部癌
生活质量(医疗保健)
可靠性(半导体)
内容有效性
表面有效性
苦恼
同时有效性
癌症
临床心理学
心理测量学
物理疗法
内部一致性
内科学
护理部
功率(物理)
物理
量子力学
作者
Yun‐Hsiang Lee,Yeur‐Hur Lai,Bevan Yueh,Pen‐Yuan Chu,Yen–Ju Chen,Shu‐Ching Chen,Cheng‐Ping Wang
标识
DOI:10.1016/j.jfma.2017.01.002
摘要
The purposes of this three-phase study were to: (1) translate and evaluate the burden, content, and face validity of the Chinese version of the University of Washington Quality of Life Scale, version 4 (UWQOL-v4-C); and (2) examine the psychometric properties of the UWQOL-v4-C in oral cancer and laryngeal cancer patients in Taiwan.This instrument translation and validation study was part of a major research project. The first phase of this study developed and validated the content of the UWQOL-v4-C. The second phase sought to validate the internal consistency, reliability, and construct and discriminant validity in two major groups of head and neck cancer (HNC) patients: oral cavity cancers (n=109) and laryngeal cancer (n=102). Construct validity was measured using theoretically supported correlations between the UWQOL and related constructs. Discriminant validity was also assessed. In the third phase, test-retest reliability of UWQOL-v4-C was examined through the 1-week interval in another group of HNC patients (n=50).The translated UWQOL-v4-C demonstrated satisfactory face validity, content validity, and minimal patient burden. Additionally, the UWQOL-v4-C showed excellent construct validity in patient testing, supported by significant correlations between the UWQOL-v4-C and hypothesized constructs, including generic measures of QOL and performance status. The developed scale correlated inversely with symptom severity and psychological distress. Discriminant validity was seen in patients with different cancer diagnoses, stages, and treatments. Finally, excellent stability was supported by a 1-week test-retest reliability of 0.88.The UWQOL-v4-C was a brief, low-burden, and valid instrument to measure the QOL in Chinese-speaking HNC patients in Taiwan.
科研通智能强力驱动
Strongly Powered by AbleSci AI