Background: Screening and surveillance of development are integral to ensuring effective early identification and intervention strategies for children with vulnerabilities. However, not all developmental skills have reliable screening processes, such as early language ability.
Method: We describe how a set of early life factors used in a large, prospective community cohort from Australia are associated with language abilities across the preschool years, and determine if either an accumulation of risk factors or a clustering of risk factors provide a feasible approach to surveillance of language development in preschool children.
Results: There were 1,208 children with a 7-year language outcome. The accumulation of early life factors increased the likelihood of children having low language skills at 7-years. Over a third of children with typical language skills (36.6%) had ≤ two risks and half of the children with low language (50%) had six or more risks. As the number of factors increases the risk of having low language at 7-years increases, for example, children with six or more risks had 17 times greater risk, compared to those with ≤ two risks. Data collected from 1,910 children at 8- to 12-months were used in the latent class modeling. Four profile classes (or groups) were identified. The largest group was developmentally enabled with a supportive home learning environment (56.2%, = 1,073). The second group was vulnerable, both developmentally and in their home learning environment (31.2%, = 596); the third group was socially disadvantaged with a vulnerable home learning environment (7.4%, = 142); the final group featured maternal mental health problems and vulnerable child socio-emotional adjustment (5.2%, = 99). Compared to developmentally enabled children, the risk of low language at 7-years was greater for children in the three other groups.
Conclusion: The cumulative and cluster risk analyses demonstrate the potential to use developmental surveillance to identify children within the first years of life who are at risk of language difficulties. Importantly, parent-child interaction and the home learning environment emerged as a consistent cluster. We recommend they be adopted as the common focus for early intervention and universal language promotion programs.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854765 | PMC |
http://dx.doi.org/10.3389/fped.2022.826817 | DOI Listing |
PLoS One
January 2025
Department of Biomedical and Health Informatics, Tsui Laboratory, Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.
Semantical text understanding holds significant importance in natural language processing (NLP). Numerous datasets, such as Quora Question Pairs (QQP), have been devised for this purpose. In our previous study, we developed a Siamese Convolutional Neural Network (S-CNN) that achieved an F1 score of 82.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Learning and Capacity Development Unit, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
Background: The COVID-19 pandemic demonstrated the global need for accessible content to rapidly train health care workers during health emergencies. The massive open access online course (MOOC) format is a broadly embraced strategy for widespread dissemination of trainings. Yet, barriers associated with technology access, language, and cultural context limit the use of MOOCs, particularly in lower-resource communities.
View Article and Find Full Text PDFMed Care
February 2025
RTI International, Research Triangle Park, NC.
Background: There is a lack of consensus on the effectiveness of audio-based care to manage chronic conditions. This knowledge gap has implications for health policy decisions and for health equity, as underserved populations are more likely to access care by telephone.
Objectives: We compared the effectiveness of audio-based care to usual care for managing chronic conditions (except diabetes).
Med Care
February 2025
RTI International Evidence 2 Practice, NC.
Objectives: We compared the effectiveness of audio-based care, as a replacement or a supplement to usual care, for managing diabetes.
Background: Diabetes is a chronic condition afflicting many in the United States. The impact of audio-based care on the health of individuals with diabetes is unclear, particularly for those at risk for disparities-many of whom may only be able to access telehealth services through telephone.
Med Care
February 2025
RTI International, Research Triangle Park, NC.
Background: Telehealth services can increase access to care by reducing barriers. Telephone-administered care, in particular, requires few resources and may be preferred by communities in areas that are systemically underserved. Understanding the effectiveness of audio-based care is important to combat the current mental health crisis and inform discussions related to reimbursement privileges.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!