Parental and Family Support in the Early Identification and Intervention of Developmental Language Disorder: A Theoretical Framework

Developmental Language Disorder (DLD) is a common neurodevelopmental condition associated with significant long-term consequences for academic achievement and socio-emotional functioning. Early identification and intervention are essential; however, traditional models have often underemphasized the role of parents and families. This paper synthesizes evidence from recent reviews and empirical studies to propose a family-centered theoretical framework for DLD. The heterogeneous presentation of DLD and the rationale for adopting the broader diagnostic label are outlined (Rinaldi et al., 2021). Intervention research demonstrating stronger effects for expressive compared to receptive language, alongside emerging attention to narrative and inferential skills, is reviewed. Psychosocial outcomes are examined, highlighting evidence that children with DLD show declining parent-reported quality of life between ages 4 and 9, largely independent of language severity, with early emotional and peer difficulties predicting later quality of life (Eadie et al., 2018). Evidence regarding family involvement is also considered, including the widespread use of indirect, parent-mediated interventions (Law et al., 2019) and findings indicating that targeted parent training can strengthen support for children’s emotional regulation (Durgungoz & St Clair, 2024). Drawing on these findings, an integrated model is proposed linking child language and cognitive risk factors, parental beliefs and stress, family clinician interaction (including tiered intervention roles), and child outcomes. The framework emphasizes reciprocal influences between children’s language development and the family environment. Clinical and policy implications, including parent-inclusive screening, family-centered therapy, and caregiver support, are discussed, alongside recommendations for future research to empirically evaluate and refine the proposed model.