B4643 - Identifying children at risk of persistent speech sound disorder - 20/06/2024

B number: 
B4643
Principal applicant name: 
Sam Burr | BSLTRU / North Bristol NHS Trust (United Kingdom)
Co-applicants: 
Professor Yvonne Wren, Dr Paul White, Professor Kate Northstone
Title of project: 
Identifying children at risk of persistent speech sound disorder
Proposal summary: 

This work is the first stage in developing a tool to identify young children who are at risk of having problems with their talking. This is important because getting help early means that their difficulties do not make it harder for them to learn at school or to make friends. In this study we will use the data to help us work out which information is needed to make the tool work effectively. In the next stage of this work, we will ask young people, parents and people who work with children to help us design how the tool will look and function. This will mean that it works in a way that is most useful for the people who are going to use it.

Impact of research: 
The risk profiling tool arising from the analysis outlined in this application will provide an easy-to-use process in which children who are identified in the preschool years with concerns about their speech sound development can be scored by early childhood practitioners in terms of their level of risk for persistent SSD. This work will facilitate the provision of intervention, which can be provided early and in a cost-effective manner, and/or referral to specialist services (e.g., Speech and Language Therapy), leading to a reduction in the number of children with persistent SSD and an associated increase in educational attainment, improved peer relationship and lower risk for self-harm in older childhood and adolescence. We anticipate a third stage of impact development in which we will establish a process for roll out of the tool with relevant services and providers for early childcare.
Date proposal received: 
Thursday, 20 June, 2024
Date proposal approved: 
Thursday, 20 June, 2024
Keywords: 
Epidemiology, Speech/language problem, Statistical methods, Communication (including non-verbal), Development, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Speech and language, Statistical methods