The design and feasibility of ADHD Electronic screening for college students all town tabriz universities, 2018

Abstract

Background and Purpose: The high prevalence of Attention Deficit Hyperactivity Disorder in the community and its consequences, especially in the student population, necessitate the availability of a cheap and accessible method for screening and identifying cases. The purpose of this study was to investigate the feasibility of electronic screening for ADHD among Tabriz university students. Materials & Methods: Given the high prevalence of this disorder by design web-based electronic screening for the first time in addition to identifying students with symptoms and categorizing them under the inattention scale (sub-scale A), impulsivity / hyperactivity (sub-scale) B), emotional instability / impulsivity (subscale C) and major ADHD subscale (subscale H). We introduced a number of them to confirm the diagnosis by a psychiatrist. The prevalence of screening was compared with the actual prevalence of psychiatrist visits, and sensitivity and specificity of the present method were measured by drawing ROC curves. Data collection tools included demographic characteristics, Adult Conner’s questionnaire and lifestyle questionnaire were used. The sample size of the first stage was completed by all participants after 3 to 6 months after the project started. The second stage sample size was reported with a prevalence of at least 4% and identification of at least 30 affected individuals and weight was applied to each of the identified subtypes (ADHD subscales) (symmetric weighted sampling) and 61 students were interviewed by a psychiatrist.The current student of one of the five universities in Tabriz and the desire to visit the psychiatrist at the next stage were subject to inclusion criteria and to not answer all online questions or use the same IP as exclusion criteria. Finally, Statistical analysis was performed using Stata ver.14.2 software. Results: Regarding the method of electronic screening for the first time among the students, the rate of university students' participation was different depending on the nature of the universities, the volume and manner of information, the number and the number of students in the universities. This study promises to welcome students to these screening practices. The results of this study show that despite the high rate of participation in the age group of 21-25 years under the D-scale (H-Index), the prevalence of this disorder is high in the age group of 26-30 years. The prevalence of online disorder was 34.27% and in person 10.84%, which confirms the results of previous studies (overestimation of screening methods). Prevalence was higher in males and online in females than males, but not significant. The sensitivity and specificity of the online screening test were 80% and 65/2%, respectively. The suggested cut-off point based on online screening for both sexes was obtained based on a sub-scale H ≥20, which would be a good guide for future studies. Accordingly, the area under the ROC curve in the online method (77.32%) is 72% for women and 83.3% for men. These values for in-person screening (89.3%) were 83% for women and 92% for men. Conclusion: This study provides useful information on the extent of participation in screening programs, prevalence of ADHD cases, and designation of cut off points for diagnosis and screening of ADHD cases, how well psychiatric counseling services are welcomed, and so on. In the multivariate and univariate analyzes, factors such as age, sex, college level and university degree were considered and the relationships were determined.