Validation of a screening tool for learning disorder in children

Background: Learning disorder (LD) is a common cause for poor academic performance among school students. Poor detection of this may be due to lack of proper validated diagnostic and screening tools, leading to considerable difficulty for affected children and their families. This study aims to vali...

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Main Authors: Varsha Vidyadharan, Harish M Tharayil, Biju George
Format: Article
Language:English
Published: SAGE Publishing 2017-01-01
Series:Indian Journal of Psychological Medicine
Subjects:
Online Access:http://www.ijpm.info/article.asp?issn=0253-7176;year=2017;volume=39;issue=6;spage=737;epage=740;aulast=Vidyadharan
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spelling doaj-f1f1c0c2fd6f46d79af4f123cfc7bdec2021-08-02T05:19:40ZengSAGE PublishingIndian Journal of Psychological Medicine0253-71762017-01-0139673774010.4103/IJPSYM.IJPSYM_29_17Validation of a screening tool for learning disorder in childrenVarsha VidyadharanHarish M TharayilBiju GeorgeBackground: Learning disorder (LD) is a common cause for poor academic performance among school students. Poor detection of this may be due to lack of proper validated diagnostic and screening tools, leading to considerable difficulty for affected children and their families. This study aims to validate a screening tool developed by us among students with poor scholastic performance. It is an easy-to-use tool that can be used by parents or teachers. Preliminary validation was done earlier using case–control design among 100 students, and the results were encouraging. Materials and Methods: A tool with 26 items was applied in 365 schoolchildren with poor scholastic performance in Calicut district. Receiver operating characteristic curve analysis was done to find area under curve (AUC) and to obtain the sensitivity and specificity at the predefined cutoff score ≥10. Results: ROC analysis showed AUC of 0.93 for differentiating LD cases against the normal children. The optimum cutoff was taken as score ≥10 which has a sensitivity and specificity of 84.7% and 100%, respectively. Conclusions: The new tool showed promising validity.http://www.ijpm.info/article.asp?issn=0253-7176;year=2017;volume=39;issue=6;spage=737;epage=740;aulast=VidyadharanLearning disabilitylearning disorderscreening tool
collection DOAJ
language English
format Article
sources DOAJ
author Varsha Vidyadharan
Harish M Tharayil
Biju George
spellingShingle Varsha Vidyadharan
Harish M Tharayil
Biju George
Validation of a screening tool for learning disorder in children
Indian Journal of Psychological Medicine
Learning disability
learning disorder
screening tool
author_facet Varsha Vidyadharan
Harish M Tharayil
Biju George
author_sort Varsha Vidyadharan
title Validation of a screening tool for learning disorder in children
title_short Validation of a screening tool for learning disorder in children
title_full Validation of a screening tool for learning disorder in children
title_fullStr Validation of a screening tool for learning disorder in children
title_full_unstemmed Validation of a screening tool for learning disorder in children
title_sort validation of a screening tool for learning disorder in children
publisher SAGE Publishing
series Indian Journal of Psychological Medicine
issn 0253-7176
publishDate 2017-01-01
description Background: Learning disorder (LD) is a common cause for poor academic performance among school students. Poor detection of this may be due to lack of proper validated diagnostic and screening tools, leading to considerable difficulty for affected children and their families. This study aims to validate a screening tool developed by us among students with poor scholastic performance. It is an easy-to-use tool that can be used by parents or teachers. Preliminary validation was done earlier using case–control design among 100 students, and the results were encouraging. Materials and Methods: A tool with 26 items was applied in 365 schoolchildren with poor scholastic performance in Calicut district. Receiver operating characteristic curve analysis was done to find area under curve (AUC) and to obtain the sensitivity and specificity at the predefined cutoff score ≥10. Results: ROC analysis showed AUC of 0.93 for differentiating LD cases against the normal children. The optimum cutoff was taken as score ≥10 which has a sensitivity and specificity of 84.7% and 100%, respectively. Conclusions: The new tool showed promising validity.
topic Learning disability
learning disorder
screening tool
url http://www.ijpm.info/article.asp?issn=0253-7176;year=2017;volume=39;issue=6;spage=737;epage=740;aulast=Vidyadharan
work_keys_str_mv AT varshavidyadharan validationofascreeningtoolforlearningdisorderinchildren
AT harishmtharayil validationofascreeningtoolforlearningdisorderinchildren
AT bijugeorge validationofascreeningtoolforlearningdisorderinchildren
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