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Results 11 - 13 of 13
Presenter(s): Tommy Evans, AuD, CCC-A
Credit(s): PDHs: 1.0, ASHA CEUs*: 0.1
Summary: This course demonstrates how Cincinnati Children's Hospital Medical Center is using telehealth applications to address the needs of children with hearing loss during the COVID-19 pandemic and into the future, including remote hearing aid evaluations, fittings, programming, repairs, and functional benefit assessments. The course is one in a set of practical programs that address specific aspects of remote practice in audiology.
Presenter(s): Elizabeth (Liz) Delsandro, MS, CCC-SLP; Kathryn Basco, MA, CCC-SLP
Credit(s): PDHs: 2.0, ASHA CEUs*: 0.2
Summary: This on demand webinar explores provision of SLP services for preschool and school-age children with mild to moderate impairment in their development as a result of early medical diagnoses and experiences such as premature birth, congenital anomalies, and chronic medical conditions. The speakers discuss the impact of early diagnoses or disorders on children’s future development; the developmental outcomes for these children; and strategies and tools to support these children and their families.
Credit(s): PDHs: 6.0, ASHA CEUs*: 0.6
Summary: This journal self-study course compares language performance in children with and without cochlear implants from preschool to 6th grade. The articles examine levels of language from phonology to prosody, offering insights into areas of strength and weakness as well as clinical directions. The first article examines consonant acquisition patterns based on hearing exposure. The second and third articles compare morphosyntactic, lexical, and phonological awareness profiles, the effect of literacy on each language skill, and types of errors produced in school-age children with and without cochlear implants. The fourth article explores differences in word-learning strategies that could affect lexical development and offers clinical suggestions based on these findings. The final article explores children’s abilities to discriminate emotional intent based on suprasegmental characteristics in the speech signal.
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