Purpose To verify indicators of cognitive development, receptive language skills and adaptive behavioral patterns in toddlers with Williams syndrome (WS). Methods The sample comprised 8 children of both sex, aged between 48 and 72 months with WS. Instruments of data collection were Denver Developmental Screening Test II; Peabody Picture Vocabulary Test; Vineland Adaptive Behavior Scale; Child Behavior Checklist for Ages 1½-5and 6 to 18; Columbia Mental Maturity Scale (CMMS), and Behavior Problems Inventory-01. Results The major developmental impairments were associated with fine motor skills and personal care abilities. Deficits in receptive language and communication skills were reported according to the PPVT and Denver II, respectively. The caregivers reported behavioral and emotional problems associated to anxiety and depression, and attention problems scales of CBCL. Conclusion The toddlers demonstrated deficits in adaptive functioning and behavioral, motor and cognitive difficulties such as inattention and hyperactivity, stereotypies and aggressive behavior.

Ainda há um número significativo de alunos que ingressam no ensino fundamental com transtornos do neurodesenvolvimento, como o Transtorno do Espectro Autista (TEA) e a Deficiência Intelectual (DI), sem diagnóstico garantindo seus direitos legais aos Serviços Educacionais Especiais (SES). De acordo com o sistema público de saúde brasileiro (SUS), a identificação precoce e o monitoramento do TEA devem ser realizados pelas equipes de saúde e educação. O objetivo deste estudo foi desenvolver um modelo de tomada de decisão, com um fluxograma detalhando tarefas e ações, utilizado por professores do ensino fundamental do sistema público de ensino com instrumentos para avaliação de indicadores de TEA e DI. O estudo foi realizado em duas fases. Fase 1: Dois instrumentos em um formato de checklist de verificação foram produzidos contendo descrições sobre as características dos transtornos para auxiliar o professor na avaliação dos alunos. Fase 2: Dois fluxogramas foram criados, um para cada transtorno, composto por um conjunto de atividades sequenciais logicamente organizadas. O procedimento para os fluxogramas consistiu em um processo baseado no Business Process Model and Notation (BPMN), utilizando a plataforma de código aberto Business Process Management System (BPMS). O relatório final permite a visualização dos resultados da avaliação, como indicadores do checklist, avaliação neuropsicológica, avaliações emocionais e comportamentais. O estudo apresenta um modelo de processo para professores e gestores educacionais que utiliza um sistema computadorizado para auxiliá-los na coleta e análise de dados, bem como tomada de decisão em tempo real para identificar alunos com suspeita de transtornos do neurodesenvolvimento.

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The identification of mild Intellectual Disability (ID) usually occurs late when the demands intrinsic to literacy reveal the typical signs to the educators. The study had two phases. The first phase aimed at developing a computation system (framework), named DIagnosys, an instrument designed to help educators identify students with characteristics compatible with ID, and to describe the operational, tactical, and strategic levels. The second phase verified the framework predictive sensitivity, using an artificial intelligence algorithm. For that purpose, the framework was applied in 51 teachers and their 1,758 students of 2nd and 4th grade, and their respective parents. We collected data using a checklist of signs compatible with ID, the Brief Problem Monitor (teacher and parent versions), the Wechsler Abbreviated Scale of Intelligence, and medical evaluation. The statistical analysis using a Confusion Matrix showed an accuracy of 82 and 95% for teacher and parent checklists, respectively. The decision-making model showed high indexes of sensitivity, providing evidence that teachers can be protagonists of the teaching-learning process mobilizing the parents to use the health care services.

IntroductionIn Brazil there is high number of children with Intellectual Disability (ID) who begin basic education but did not receive a diagnosis. The basic education teachers can be important agents in identifying signs of ID in the student so that they can be referred to health services.ObjectivesTo develop and implement a decision-making model for basic education teachers to identify students with predictive signs of ID.MethodsThe sample was composed by 51 teachers from 20 public schools and their 1758 students eligible for the study enrolled in a educational network in São Paulo state, Brazil. A standardized model was developed for the evaluation process using an open-source software named BONITA. For the screening of students with ID signs the teachers answered a checklist based on the diagnostic criteria of the DSM-5 and the students were evaluated with neuropsychological test WASI (Wechsler Abbreviated Scale of Intelligence) and neuropsychiatric assessment. A Classification Based on Association Rules (CBA) generated the predictive models of sensitivity for confirming ID from the items in the checklists.Results35 children had suspected ID. The CBA showed an accuracy of 82%, identifying only 1 false-negative case and 3 false-positive cases for ID. According to the teachers, the most accurate signs were deficits in abstract thinking skills, deficits in communication and conversation and difficulties in emotional regulation in social interactions.ConclusionsThe decision-making model by elementary school teachers to identify students with ID showed high levels of sensitivity and can help the waiting for diagnosis.DisclosureNo significant relationships.