Reliability and validity of a smart quality of life scale for patients with tuberculosis
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ORIGINAL ARTICLE
Reliability and validity of a smart quality of life scale for patients with tuberculosis Lei Qiu 1,2 & Yeqing Tong 3 & Qin Yang 1 & Na Sun 1 & Yanhong Gong 1 & Xiaoxv Yin 1 Received: 15 November 2018 / Accepted: 18 March 2019 # Springer-Verlag GmbH Germany, part of Springer Nature 2019
Abstract Aim This study was conducted to evaluate the internal consistency and validity of a 6-item quality of life scale (QOL-6) among tuberculosis (TB) patients in China and to explore its associations with demographic and psychosocial factors. Methods In this cross-sectional study, data were collected from 1342 patients using a structured questionnaire. Information about demographic and psychosocial characteristics was recorded, and QOL was evaluated by the QOL-6 scale. The internal consistency reliability and construct validity of the QOL-6 scale were examined. Moreover, linear regression analysis was used to assess the associations between demographic and psychosocial factors and QOL. Results The overall Cronbach’s alpha was 0.81. A one-factor model demonstrated excellent model fit (CFI = 0.99; TLI = 0.99; RMSEA = 0.02), suggesting that the QOL-6 has good construct validity. Linear regression analysis indicated that lower QOL scores among patients with TB was associated with older age, lower education level, lower monthly income, lack of TB cure confidence, stigma, and depressive symptoms. Conclusion The QOL-6 is a reliable, simple, and easy-to-administer tool for routinely monitoring QOL changes among patients with TB. Our study provides some evidence for the reduced QOL among patients with TB in China, and it is necessary to improve QOL using multifactorial approaches. Keywords Quality of life . Tuberculosis . China
Abbreviations QOL Quality of life TB Tuberculosis M Mean SD Standard deviation Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10389-019-01067-3) contains supplementary material, which is available to authorized users. * Yanhong Gong [email protected] Xiaoxv Yin [email protected] 1
School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, People’s Republic of China
2
School of management, Hainan Medical University, Haikou, People’s Republic of China
3
Center for Disease Control and Prevention of Hubei Province, Wuhan, People’s Republic of China
Introduction The assessment of patient-reported outcomes (PROs) is gaining increasing attention in disease management and outcome evaluation because it can represent the voice of patients in determining the burden of disease and treatment, and can provide information about patients’ well-being that cannot be obtained by traditional medical/biological assessments (Black 2013; Weldring and Smith 2013). Quality of life (QOL) is a complex type of PROs that assesses the health status of individuals, including physical, psychological, and social domains (Guo et al. 2009). The routine collection and use of patients’ QOL in clinical practice, especially fo
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