
pmid: 28651106
With the current worldwide workforce shortage of Speech-Language Pathologists, new and innovative ways of delivering therapy to children with speech sound disorders are needed. Computer-based speech therapy may be an effective and viable means of addressing service access issues for children with speech sound disorders.To evaluate the efficacy of computer-based speech therapy programs for children with speech sound disorders.Studies reporting the efficacy of computer-based speech therapy programs were identified via a systematic, computerised database search. Key study characteristics, results, main findings and details of computer-based speech therapy programs were extracted. The methodological quality was evaluated using a structured critical appraisal tool.14 studies were identified and a total of 11 computer-based speech therapy programs were evaluated. The results showed that computer-based speech therapy is associated with positive clinical changes for some children with speech sound disorders.There is a need for collaborative research between computer engineers and clinicians, particularly during the design and development of computer-based speech therapy programs. Evaluation using rigorous experimental designs is required to understand the benefits of computer-based speech therapy.The reader will be able to 1) discuss how computerbased speech therapy has the potential to improve service access for children with speech sound disorders, 2) explain the ways in which computer-based speech therapy programs may enhance traditional tabletop therapy and 3) compare the features of computer-based speech therapy programs designed for different client populations.
Speech-Language Pathology, Humans, Speech Therapy, Child, Speech Sound Disorder, Software
Speech-Language Pathology, Humans, Speech Therapy, Child, Speech Sound Disorder, Software
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 52 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
