tailieunhanh - báo cáo hóa học: " Psychometric validation of the revised SCOPADiary Card: expanding the measurement of nonmotor symptoms in parkinson’s disease"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa học đề tài : Psychometric validation of the revised SCOPADiary Card: expanding the measurement of nonmotor symptoms in parkinson’s disease | Rendas-Baum et al. Health and Quality of Life Outcomes 2011 9 69 http content 9 1 69 HEALTH AND QUALITY OF LIFE OUTCOMES RESEARCH Open Access Psychometric validation of the revised SCOPA-Diary Card expanding the measurement of nonmotor symptoms in parkinson s disease Regina Rendas-Baum1 Philip O Buck2 Michelle K White1 and Jane Castelli-Haley2 Abstract Background To identify key non-motor symptoms of Parkinson s disease PD to include in a daily diary assessment for off-time revise the Scales for Outcomes of Parkinson s disease Diary Card SCOPA-DC to include these non-motor symptoms and investigate the validity reliability and predictive utility of the Revised SCOPA-DC in a . population. Methods A convenience sample was used to recruit four focus groups of PD patients. Based on findings from focus groups the SCOPA-DC was revised and administered to a sample of 101 PD patients. Confirmatory factor analysis was conducted to test the domain structure of the Revised SCOPA-DC. The reliability convergent and discriminant validity and ability to predict off-time of the Revised SCOPA-DC were then assessed. Results Based on input from PD patients the Revised SCOPA-DC included several format changes and the addition of non-motor symptoms. The Revised SCOPA-DC was best represented by a three-factor structure Mobility Physical Functioning and Psychological Functioning. Correlations between the Revised SCOPA-DC and other Health-Related Quality of Life scores were supportive of convergent validity. Known-groups validity analyses indicated that scores on the Revised SCOPA-DC were lower among patients who reported experiencing off-time when compared to those without off-time. The three subscales had satisfactory predictive utility correctly predicting off-time slightly over two-thirds of the time. Conclusions These findings provide evidence of content validity of the Revised SCOPA-DC and suggest that a three-factor structure is an appropriate model that provides .