Ling Wang1,2, Yong-Xi Wu1,3, Yi-Qi Lin1,3, Lin Wang1,4, Zhao-Nan Zeng1,5, Xiao-Liang Xie1,6, Qiu-Yang Chen1,6, Shi-Chao Wei1,3. 1. Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China. 2. Department of Pharmacy, Fujian Provincial Hospital, Fuzhou, China. 3. Department of Sleep Center, Fujian Provincial Hospital, Fuzhou, China. 4. Administrative Office, Fujian Provincial Hospital, Fuzhou, China. 5. Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, China. 6. The First Operating Room, Fujian Provincial Hospital, Fuzhou, China.
Abstract
STUDY OBJECTIVES: The applicability of sleep-related scales to frontline medical staff for the COVID-19 pandemic has not been fully proved, so sleep survey results lack credibility and accuracy, creating difficulties for the guidance and treatment of frontline medical staff with sleep disorders, which is not conducive to the prevention and control of COVID-19. This study sought to analyze the reliability and validity of the Pittsburgh Sleep Quality Index (PSQI) among frontline medical staff fighting the COVID-19 pandemic. METHODS: A network questionnaire survey was used to investigate the PSQI among frontline medical staff who fought COVID-19 in Wuhan, China from March 19 to April 15, 2020. Combined with classical test theory and item response theory, the content validity, internal consistency, construct validity, and other aspects of the PSQI were evaluated. RESULTS: According to classical test theory, content validity, criterion validity, and construct validity of the PSQI were good. But the internal consistency was better after the deletion of the "daytime dysfunction" subscale. With regard to item response theory, difficulty, the differential item function, and the Wright map performed well. CONCLUSIONS: The original PSQI showed acceptable applicability in frontline COVID-19 medical staff, and its characteristics moderately improved after the "daytime dysfunction" subscale was removed. CITATION: Wang L, Wu Y-X, Lin Y-Q, et al. Reliability and validity of the Pittsburgh Sleep Quality Index among frontline COVID-19 health care workers using classical test theory and item response theory. J Clin Sleep Med. 2022;18(2):541-551.
STUDY OBJECTIVES: The applicability of sleep-related scales to frontline medical staff for the COVID-19 pandemic has not been fully proved, so sleep survey results lack credibility and accuracy, creating difficulties for the guidance and treatment of frontline medical staff with sleep disorders, which is not conducive to the prevention and control of COVID-19. This study sought to analyze the reliability and validity of the Pittsburgh Sleep Quality Index (PSQI) among frontline medical staff fighting the COVID-19 pandemic. METHODS: A network questionnaire survey was used to investigate the PSQI among frontline medical staff who fought COVID-19 in Wuhan, China from March 19 to April 15, 2020. Combined with classical test theory and item response theory, the content validity, internal consistency, construct validity, and other aspects of the PSQI were evaluated. RESULTS: According to classical test theory, content validity, criterion validity, and construct validity of the PSQI were good. But the internal consistency was better after the deletion of the "daytime dysfunction" subscale. With regard to item response theory, difficulty, the differential item function, and the Wright map performed well. CONCLUSIONS: The original PSQI showed acceptable applicability in frontline COVID-19 medical staff, and its characteristics moderately improved after the "daytime dysfunction" subscale was removed. CITATION: Wang L, Wu Y-X, Lin Y-Q, et al. Reliability and validity of the Pittsburgh Sleep Quality Index among frontline COVID-19 health care workers using classical test theory and item response theory. J Clin Sleep Med. 2022;18(2):541-551.
Authors: Jair B Barbosa Neto; Anne Germain; Patrícia F Mattos; Paula M Serafim; Roberta C M Santos; Larissa C Martini; Deborah Suchecki; Marcelo F Mello Journal: Braz J Psychiatry Date: 2014-04-15 Impact factor: 2.697
Authors: Gerard Dunleavy; Ram Bajpai; André Comiran Tonon; Ai Ping Chua; Kei Long Cheung; Chee-Kiong Soh; Georgios Christopoulos; Hein de Vries; Josip Car Journal: Int J Environ Res Public Health Date: 2019-11-20 Impact factor: 3.390