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CATALISE: A Multinational and Multidisciplinary Delphi Consensus Study. Identifying Language Impairments in Children
D V M Bishop1, Margaret J Snowling1, Paul A Thompson1
1Department of Experimental Psychology, University of Oxford, Oxford, Oxon, United Kingdom.
Consensus was reached among 59 international experts on criteria for identifying children with language impairments. This aids in determining which children benefit from specialist services.
Area of Science:
- Developmental Psychology
- Speech-Language Pathology
- Child Psychiatry
- Pediatrics
- Education
Background:
- Delayed or impaired language development is a common concern in children.
- Lack of agreement on criteria for identifying and classifying language impairments complicates professional approaches.
- Children's language difficulties intersect education, medicine, and allied health professions.
Purpose of the Study:
- To achieve professional consensus on criteria for identifying children with language impairments.
- To establish guidelines for determining which children may benefit from specialist services.
- To address the interdisciplinary nature of conceptualizing children's language difficulties.
Main Methods:
- An online Delphi technique was employed with a panel of 59 international experts from ten disciplines.
- Experts rated 46 statements on relevance and validity, providing free-text comments.
- Two rounds of evaluation were conducted, with statement synthesis between rounds to improve consensus.
Main Results:
- 80% consensus was achieved for 24 out of 27 statements after the second round.
- Consensus was established on appropriate criteria for identifying children needing specialist services.
- Written comments indicated nuances and qualifications from respondents despite high agreement levels.
Conclusions:
- The study successfully developed a consensus statement on criteria for identifying children with language impairments.
- The findings provide a foundation for more consistent identification and referral practices.
- Further research is needed to address residual disagreements and evidence gaps.
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