Telepractice or teletherapy is defined as the means of service delivery via technology-based platforms that allow long-distance interventions across populations, age spans, and geographical locations. Specifically, telepractice capitalizes on communication technologies such as online modules, videoconferencing, and computerized software programs, in servicing populations with communication challenges. Notably, telepractice has emerged as a potentially effective, low-cost, and promising means of conducting and completing online assessment, diagnosis, and intervention sessions for individuals with autism spectrum disorders (ASD). Moreover, telepractice allows the inclusion of parents, caregivers, and educators as potential facilitators in supporting treatment delivery in populations with ASD. This thematic review article aims to highlight and acquaint practitioners and other stakeholders with relatively recent information regarding the advantages and disadvantages of the telepractice service delivery model in ASD. Furthermore, the emergence of the COVID-19 pandemic has impacted service delivery in the field of Health Sciences including speech and language pathology (SLP). Consequently, the need to avoid face-to-face therapy sessions, recommended to SLPs as to all health practitioners, resulted in the call for adaptation and adjustment of service telepractice. This paper attempts to answer this call by suggesting supplementing traditional diagnostic and therapy resources with training modules consisting of online materials and use of animated and specially designed programs in SLP intervention with individuals with ASD. Lastly, the paper includes a discussion of research findings in the field, a conclusion, and a take-home message.

Background: Speech-sound disorders (SSD) have been linked to auditory processing difficulties, and auditory processing disorders (APD) have been related to phonological awareness and literacy development. To this date, there has not been a systematic literature review investigating the results of psychophysiology and language assessments related to SSD and APD in children. Methods: The literature search was conducted in PubMed, Medline EBSCO, and Scopus to identify studies with children diagnosed/suspected of having APDs and SSDs. The quality of methodology in the selected articles was evaluated with the Newcastle Ottawa Scale. Results: Seven out of 378 relevant studies met the selection criteria. The findings were summarized for children with SSD and APD based on (a) metalinguistic and literacy skills, (b) cognitive abilities, and (c) temporal processing abilities. Three articles indicated that children with APD and SSD exhibit lower temporal task accuracy and reaction time. In two studies, children with SSD exhibited lower scores in discrimination, sequencing, and recall of brief stimuli in rapid succession. Conclusions: This review revealed associations between SSD severity and APD that may underline low performance in metalinguistic skills. Diagnostic assessments have been proposed based on the review to adequately identify children with SSD and APD and provide useful information for more suitable intervention.

The study aimed at evaluating the diadochokinetic (DDK) skills of Greek-speaking preschool children with phonological disorder (PD) by means of a structured evaluation protocol and at proposing cut-off points for children at risk of speech impairment. The participants were 36 children with PD and 60 typically developing (TD) peers. The groups were matched on age and gender. The PD group performed significantly slower than the TD group in all speech DDK tasks but not in the oral-motor tasks. The ROC analysis showed a statistically significant positive discrimination for all speech tasks. The internal consistency of the protocol was excellent (Cronbach’s α = .844), while complex stimuli showed a better discriminatory ability. The obtained results agree with Dodd’s classification for speech sound disorders (SSDs). Different types of speech stimuli must be included in the evaluation of DDK performance as a clinical predictor for preschoolers with SSDs who face difficulties in speech maturation.

Currently, the needs for new technologies are rising and especially due to Covid-19. The world is changing into a digital theater of businesses and educational processes. Consequently, tele-health is constantly enriched with new scientific areas of expertise, a fact that gives a new and promising perspective for people who cannot reach in-time a specialist. Specifically, for the case of speech language therapy (SLT), new techniques emerge and involve telepractice and tele-counceling. In turn, the aim of the present study was to discover a model of predicting potential benefits from the online form of speech and language therapy (distant sessions) along with the view of the involved speech therapists and parents. For this purpose, a hypothetical sample of specialists and parents, was produced as being supposedly participated into sessions with their children for evaluating the overall performance of each technique (live and distant) with a total score. Thereinafter, statistical analyses were performed and the relevant machine learning was applied for building an artificial neural network for examining the results, in order to show the capabilities of the proposed model. This outcome is important as it can actuate SLT scientific area to include, in the future, more advanced techniques for distant sessions, concluding to even surpassing the classical technique.