Purpose: This study aims to systematically identify items that measure communicative participation from measurement instruments that measure (aspects of) communication and/or participation in children and adolescents (5-18 years old) with communication disorders, for developing an item bank.
Method: A systematic literature search was performed in MEDLINE and Embase to search for patient-reported outcome measures (PROMs) or parent reports measuring aspects of communication and/or participation in children and adolescents. The individual items of the included measurement instruments were reviewed on whether they measure communicative participation.
Background: Variations in communicative participation of children with developmental language disorder (DLD) cannot be wholly explained by their language difficulties alone and may be influenced by contextual factors. Contextual factors may support or hinder communicative participation in children, which makes their identification clinically relevant.
Aims: To investigate which contextual (environmental and personal) factors in early childhood are protective, risk or neutral factors for communicative participation among school-aged children with DLD, and to identify possible gaps in knowledge about this subject.
Aim: A little is known about predictive validity of and professionals' adherence to language screening protocols. This study assessed the concurrent and predictive validity of the Dutch well child language screening protocol for 2-year-old children and the effects of protocol deviations by professionals.
Methods: A prospective cohort study of 124 children recruited and tested between October 2013 and December 2015.
The aim of this study was to assess the criterion validity of a new screening instrument, the Early Language Scale (ELS), for the identification of young children at risk for developmental language disorder (DLD), and to determine optimal age-adjusted cut-off scores. We recruited a community-based sample of 265 children aged 1 to 6 years of age. Parents of these children responded on the ELS, a 26-item "yes-no" questionnaire.
View Article and Find Full Text PDFObjective: Language development is important for children's success in life. Therefore, language is monitored by child health care professionals and parents, but a uniform set of milestones in language development is lacking. Our aim was to identify a set of clear and distinctive milestones that empirically reflect language development in children aged 1 to 6 years of age.
View Article and Find Full Text PDFJ Speech Lang Hear Res
June 2018
Purpose: The purpose of this letter is to respond to Moncrieff's (2017) letter to the editor, "Response to de Wit et al., 2016, 'Characteristics of Auditory Processing Disorders: A Systematic Review,'" published in May 2017 by the Journal of Speech, Language, and Hearing Research.
Conclusion: We believe that our original conclusions are valid given the limited evidence that is currently available about the etiology of auditory processing disorders (APD).
Objectives: Children diagnosed with auditory processing disorders (APD) experience difficulties in auditory functioning and with memory, attention, language, and reading tasks. However, it is not clear whether the behavioral characteristics of these children are distinctive from the behavioral characteristics of children diagnosed with a different developmental disorder, such as specific language impairment (SLI), dyslexia, attention-deficit hyperactivity disorder (ADHD), learning disorder (LD), or autism spectrum disorder. This study describes the performance of children diagnosed with APD, SLI, dyslexia, ADHD, and LD to different outcome measurements.
View Article and Find Full Text PDFObjective: This study investigated the perspectives of professionals from the Dutch audiological centres on the definition and care pathways of children with suspected auditory processing disorders (susAPD).
Design: focus group interviews.
Study Sample: In total, 45 professionals from 6 disciplines, representing 22 different audiological centres and one ambulatory service, participated in five parallel focus group interviews.
Aim: To determine the association between sucking in infants born preterm and developmental outcomes at 5 years.
Method: Thirty-four infants were included (mean gestational age 30wks 4d, mean birthweight 1407g). The Neonatal Oral-Motor Assessment Scale was used longitudinally from 37 to 50 weeks postmenstrual age.
Background: Atypical speech and language development is one of the most common developmental difficulties in young children. However, which clinical signs characterize atypical speech-language development at what age is not clear.
Aim: To achieve a national and valid consensus on clinical signs and red flags (i.
Purpose: The purpose of this review article is to describe characteristics of auditory processing disorders (APD) by evaluating the literature in which children with suspected or diagnosed APD were compared with typically developing children and to determine whether APD must be regarded as a deficit specific to the auditory modality or as a multimodal deficit.
Method: Six electronic databases were searched for peer-reviewed studies investigating children with (suspected) APD in comparison with typically developing peers. Relevant studies were independently reviewed and appraised by 2 reviewers.
Objective: To evaluate whether a specific period after birth (in weeks postmenstrual age [PMA]) and specific elements of sucking are associated with abnormal neurodevelopmental outcomes at age 2 years using a longitudinal approach.
Study Design: Fifty-two preterm infants participated in this longitudinal cohort study (mean gestational age, 29.5 weeks; mean birth weight, 1197 g).
J Speech Lang Hear Res
October 2006
Purpose: To scale language milestones in a group of 527 children to provide an instrument for screening language development. Procedure The questionnaire regarding these milestones was completed by parental report. It was evaluated whether the scaled milestones satisfied the assumptions of the Mokken item response model.
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