# Enhancing Early Language Disorder Detection in Preschools: Evaluation and Future Directions for the Gades Platform

**Authors:** María Dolón-Poza, Ana-Marta Gabaldón-Pérez, Santiago Berrezueta-Guzman, David López Gracia, María-Luisa Martín-Ruiz, Iván Pau De La Cruz

PMC · DOI: 10.2196/60424 · JMIR Human Factors · 2025-03-14

## TL;DR

The Gades platform helps preschool teachers detect language disorders in young children without needing expert support, showing promise for early identification.

## Contribution

The study evaluates Gades, an adaptive screening tool for early language disorder detection by non-expert educators.

## Key findings

- Gades identified language difficulties in 19.7% of children, with higher prevalence in boys.
- The platform achieved a 97.41% accuracy rate and was deemed user-friendly by teachers.
- Language challenges were most common in children aged 15 to 27 months.

## Abstract

Language acquisition is a critical developmental milestone, with notable variability during the first 4 years of life. Developmental language disorder (DLD) often overlaps with other neurodevelopmental disorders or simple language delay (SLD), making early detection challenging, especially for primary caregivers.

We aimed to evaluate the effectiveness of the Gades platform, an adaptive screening tool that enables preschool teachers to identify potential language disorders without direct support from nursery school language therapists (NSLTs).

The study took place in a nursery school and an early childhood educational and psychopedagogical center in Madrid, Spain, involving 218 children aged 6 to 36 months, 24 preschool teachers, and 2 NSLTs. Initially, NSLTs conducted informational sessions to familiarize teachers with DLDs and how to identify them. Following this, the teachers used the Gades platform to conduct language screenings independently, without ongoing support from NSLTs. The Gades platform was enhanced to collect detailed profiles of each child and implemented an adaptive screening model tailored to account for variability in language development. This setup allowed preschool teachers, who are not language experts, to observe and assess language development effectively in natural, unsupervised educational environments. The study assessed the platform’s utility in guiding teachers through these observations and its effectiveness in such settings.

Gades identified language difficulties in 19.7% (43/218) of the children, with a higher prevalence in boys (29/218, 13.3%) than in girls (14/218, 6.4%). These challenges were most frequently observed in children aged 15 to 27 months. The platform demonstrated a high accuracy rate of 97.41%, with evaluators largely agreeing with its recommendations. Teachers also found Gades to be user friendly and a valuable tool for supporting language development observations in everyday educational settings.

Gades demonstrates potential as a reliable and accessible tool for early detection of language disorders, empowering educators to identify DLD and SLD in the absence of NSLTs. However, further refinement of the platform is required to effectively differentiate between DLD and SLD. By integrating Gades into routine preschool assessments, educators can facilitate timely interventions, bridging gaps in early childhood education and therapy.

Pan-African Clinical Trial Registry (PACTR) PACTR202210657553944; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=24051

## Linked entities

- **Diseases:** Developmental language disorder (MONDO:0010821)

## Full-text entities

- **Diseases:** neurodevelopmental disorders (MESH:D002658), DLD (MESH:D007805), Language Disorder (MESH:D007806)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC11953602/full.md

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11953602/full.md

## References

46 references — full list in the complete paper: https://tomesphere.com/paper/PMC11953602/full.md

---
Source: https://tomesphere.com/paper/PMC11953602