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Development of a Child Articulation Screening Test Within Digital Therapeutics: Delphi Study
Jaewon Lee1, Sejin Kwon1, Jin Young Ko2
1Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-Si, Gyeonggi-do, Republic of Korea, 82 31-787-7741.
A new digital articulation assessment tool was developed for children with speech sound disorders. This tool offers modernized stimuli, improved scoring, and enhanced interpretability for digital therapeutics (DTx).
Area of Science:
- Speech-language pathology
- Digital therapeutics
- Pediatric audiology
Background:
- Speech sound disorders are prevalent in children, often leading to reading difficulties.
- Existing assessment tools in South Korea have limitations, including face-to-face requirements and lack of automated scoring.
- The COVID-19 pandemic emphasized the need for remote and digitalized assessment solutions.
Purpose of the Study:
- To develop a novel articulation assessment tool.
- To establish the content validity of this tool.
- To ensure the tool's integration into digital therapeutics (DTx) and overcome limitations of current methods.
Main Methods:
- A 3-round modified Delphi survey was conducted with 23 experts (physiatrists and speech-language pathologists).
- Experts evaluated word lists, phonological environments, and scoring criteria using quantitative analyses (CVR, CVI, median, IQR).
- Consensus thresholds were established, and items were retained only if all criteria were met.
Main Results:
- The study refined word stimuli, expanded phonological coverage, and improved scoring criteria for clarity.
- In round 2, 20 out of 25 items (80%) met consensus criteria, with CVRs from 0.57 to 0.91 and CVI s from 0.78 to 0.96.
- All remaining items achieved consensus in round 3, indicating robust content validity.
Conclusions:
- A novel articulation assessment tool with strong content validity was developed.
- The tool features updated stimuli, analysis indexes, and visualization for enhanced clinical utility.
- This standardized, digital tool supports personalized interventions for children with speech sound disorders and is suitable for AI-based DTx.
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