Literature DB >> 25127503

A developmental screening tool for toddlers with multiple domains based on Rasch analysis.

Ai-Wen Hwang1, Yeh-Tai Chou2, Ching-Lin Hsieh3, Wu-Shiun Hsieh4, Hua-Fang Liao5, Alice May-Kuen Wong6.   

Abstract

BACKGROUND/
PURPOSE: Using multidomain developmental screening tools is a feasible method for pediatric health care professionals to identify children at risk of developmental problems in multiple domains simultaneously. The purpose of this study was to develop a Rasch-based tool for Multidimensional Screening in Child Development (MuSiC) for children aged 0-3 years.
METHODS: The MuSic was developed by constructing items bank based on three commonly used screening tools, validating with developmental status (at risk for delay or not) on five developmental domains. Parents of a convenient sample of 632 children (aged 3-35.5 months) with and without developmental delays responded to items from the three screening tools funded by health authorities in Taiwan. Item bank was determined by item fit of Rasch analysis for each of the five developmental domains (cognitive skills, language skills, gross motor skills, fine motor skills, and socioadaptive skills). Children's performance scores in logits derived in Rasch analysis were validated with developmental status for each domain using the area under receiver operating characteristic curves.
RESULTS: MuSiC, a 75-item developmental screening tool for five domains, was derived. The diagnostic validity of all five domains was acceptable for all stages of development, except for the infant stage (≤11 months and 15 days).
CONCLUSION: MuSiC can be applied simultaneously to well-child care visits as a universal screening tool for children aged 1-3 years on multiple domains. Items with sound validity for infants need to be further developed.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  Rasch analysis; children; developmental screening; screening tools; validity

Mesh:

Year:  2014        PMID: 25127503     DOI: 10.1016/j.jfma.2014.07.001

Source DB:  PubMed          Journal:  J Formos Med Assoc        ISSN: 0929-6646            Impact factor:   3.282


  2 in total

1.  A new technique to measure online bullying: online computerized adaptive testing.

Authors:  Shu-Ching Ma; Hsiu-Hung Wang; Tsair-Wei Chien
Journal:  Ann Gen Psychiatry       Date:  2017-07-03       Impact factor: 3.455

2.  An App for Identifying Children at Risk for Developmental Problems Using Multidimensional Computerized Adaptive Testing: Development and Usability Study.

Authors:  Tsair-Wei Chien; Chen-Fang Hsu; Julie Chi Chow; Yu-Tsen Yeh; Willy Chou
Journal:  JMIR Pediatr Parent       Date:  2020-04-16
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.