Reliability and validity of DS-ADHD: A decision support system on attention deficit hyperactivity disorders. (March 2017)

• Record Type: Journal Article
• Authors: Chu, Kuo-Chung; Huang, Yu-Shu; Tseng, Chien-Fu; Huang, Hsin-Jou; Wang, Chih-Huan; Tai, Hsin-Yi
• Is Part Of: Computer methods and programs in biomedicine. Volume 140(2017)
• Page Start: 241
• Page End: 248
• Publication Date: 2017-03
• Subjects: Attention deficit hyperactivity disorder (ADHD) -- Decision support system (DSS) -- System development -- Reliability and validity analysis -- ROC curve; Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2016.12.003
• Languages: English
• ISSNs: 0169-2607

Abstract

Highlights: This study examines the reliability of the clinical use of the decision support system. The study collected data based on 107 domestic subjects, who were divided into two groups. The two groups then underwent TOVA and DS-ADHD testing. The survey and testing results underwent the one-way ANOVA and the split-half method statistical analysis. The study results show that the system has the characteristics of screening for ADHD, based on its reliability and validity. Abstract: Background and objectives: The purpose of this study is to examine the reliability of the clinical use of the self-built decision support system, diagnosis-supported attention deficit hyperactivity disorder (DS-ADHD), in an effort to develop the DS-ADHD system, by probing into the development of indicating patterns of past screening support systems for ADHD. Methods: The study collected data based on 107 subjects, who were divided into two groups, non-ADHD and ADHD, based on the doctor's determination, using the DSM-IV diagnostic standards. The two groups then underwent Test of Variables of Attention (TOVA) and DS-ADHD testing. The survey and testing results underwent one-way ANOVA and split-half method statistical analysis, in order to further understand whether there were any differences between the DS-ADHD and the identification tools used in today's clinical trials. Results: The results of the study are as follows: 1) The ROC area between the TOVA and the clinical identification rate is 0.787 (95% confidence interval: 0.701–0.872); 2) The ROC area between the DS-ADHD and the clinical identification rate is 0.867 (95% confidence interval: 0.801–0.933). Conclusions: The study results show that DS-ADHD has the characteristics of screening for ADHD, based on its reliability and validity. It does not display any statistical differences when compared with TOVA systems that are currently on the market. However, the system is more effective and the accuracy rate is better than TOVA. It is a good tool to screen ADHD not only in Chinese children, but also in western country.