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Results 11 - 16 of 16
Credit(s): PDHs: 3.0, ASHA CEUs*: 0.3
Summary: This course is composed of three articles that center around quality of life: at end of life, following a stroke, and among individuals with voice disorders.
Credit(s): PDHs: 4.5, ASHA CEUs*: 0.45
Summary: This course contains four articles that address current demands in geriatric care, including impacts of the COVID-19 pandemic and the shifting demographics reflecting an aging population.
Credit(s): PDHs: 2.5, ASHA CEUs*: 0.25
Summary: In an ever-changing global landscape, it is pertinent that audiologists and speech-language pathologists “account for the complexity and diversity of healthcare contexts” (as stated in the second article by Pillay and Pillay). Pressing concerns related to advancing technology (artificial intelligence and machine learning), culturally responsive practice, and rapid climate change are all trending societal conversations. This SIG 17 self-study explores creative solutions to pressing global issues that impact the field of audiology and speech-language pathology. Topics presented include key ethical concerns regarding hearing aids with machine learning, a novel culturally responsive framework for contextualized clinical reasoning, and the impact of climate change on communication and swallowing disorders.
Credit(s): PDHs: 3.0, ASHA CEUs*: 0.3
Summary: Three clinical practice considerations are reviewed within this course, including communication with patients/families in the face of the COVID-19 pandemic, identification of word finding errors in normally aging individuals, and how to address severe tinnitus.
Credit(s): PDHs: 1.5, ASHA CEUs*: 0.15
Summary: This course examines three progressive cultural topics as they relate to speech-language pathology and audiology: ageism among CSD graduate students; institutional, symbolic, and individual systems of oppression; and the interaction between social determinants and health disparities.
Credit(s): PDHs: 4.5, ASHA CEUs*: 0.45
Summary: This course is based on a recently published SIG 1 Perspectives forum, Language Sample Analysis Tutorials. The articles in the forum focus on three types of language sample analysis and best practices for conducting them utilizing the Computerized Language Analysis (CLAN), Systematic Analysis of Language Transcriptions (SALT), and Sampling Utterances and Grammatical Analysis Revised (SUGAR).
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