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Results 81 - 88 of 88
Presenter(s): Tanya Ramadan; Bronwyn A Hemsley; Rebecca Sullivan
Credit(s): PDHs: 0.5, ASHA CEUs*: 0.05
Summary: This course presents a study to determine the views of hospital staff, including speech-language pathologists, on the impact of COVID-19 visitor restrictions on patients or staff. This course discusses the findings of the descriptive and content analysis with implications for stroke rehabilitation.
Credit(s): PDHs: 4.5, ASHA CEUs*: 0.45
Summary: This journal self-study course examines remote treatment for aphasia, a topic that several researchers explored at the 51st Clinical Aphasiology Conference (CAC) in North Carolina. Articles examine the effectiveness of telepractice delivery of three types of aphasia treatment: conversation group treatment, Combined Aphasia and Apraxia of Speech Treatment, and Sound Production Treatment. The articles compare outcomes of the treatments when administered remotely vs. in-person.
Presenter(s): Bethany L Kusek , MA, CCC-SLP; Andrea Elise Kremeier, MS, CCC-SLP, CBIS; Jett Mickelsen Stenson, MS, CCC-SLP
Credit(s): PDHs: 0.5, ASHA CEUs*: 0.05
Summary: In the era of COVID-19, clinicians in health care settings have faced challenges in the evaluation and treatment of a new patient population - those who have had COVID-19 - requiring us to reframe our current treatment techniques. This session focuses on reinventing the SLP's approach to treatment of respiratory activity tolerance for motor speech.
Presenter(s): Nicole Cruse, PhD; Nicholas Behn; Victor Piotto; Carl A Coelho, PhD, BC-ANCDS
Credit(s): PDHs: 0.5, ASHA CEUs*: 0.05
Summary: This session discusses a study that examined the feasibility of telehealth administration of narrative and procedural discourse tasks to individuals with TBI and matched controls. Results support the feasibility of collecting discourse samples via telehealth. Although the participants' discourse performance distinguished the TBI and control groups on the narrative task, no differences between the groups were noted for the procedural task.
Presenter(s): Susan M Sheehy, AuD
Credit(s): PDHs: 0.5, ASHA CEUs*: 0.05
Summary: This course reviews the relationship between brain health and hearing health, including the supporting research, and then dives into how expanding patient evaluations can facilitate a more holistic and patient-centered approach to patient counseling and care planning. The presenter highlights real-world data to demonstrate the value of new clinical insights available through cognitive screening.
Presenter(s): Meaghan Foody, MS, CCC-SLP; Elizabeth C Walker, PhD, CCC-A/SLP
Credit(s): PDHs: 1.0, ASHA CEUs*: 0.1
Summary: This session describes predictors of hearing aid use time for adolescents who are deaf or hard of hearing (DHH) as well as activities that target self-advocacy in this population. The session discusses the long-term goal of identifying challenges to device use in adolescents who are DHH and improving self-advocacy skills.
Presenter(s): Maria De Leon, MS, CCC-SLP; Vianca Ocampo, MA, CCC-SLP; Alan Vu, MA, CCC-SLP
Credit(s): PDHs: 2.5, ASHA CEUs*: 0.25
Summary: In this course, three SLPs share their perspectives on working with multilingual students and overcoming challenges and barriers to equitable and effective augmentative and alternative communication (AAC) interventions. The course explores practical strategies, tools, and templates to help SLPs engage students and families, support multiple languages in AAC devices for students who are speaking or nonspeaking, and advocate for affirming practices that center the whole child.
Presenter(s): Matthew B Fitzgerald, CCC-A
Credit(s): PDHs: 1.0, ASHA CEUs*: 0.1
Summary: This session describes a research investigation of speech recognition in quiet and noise in thousands of patients with varying degrees of hearing loss. Based on the data, the speaker provides clinical recommendations in which speech recognition in noise can become the default test of speech perception in routine audiologic assessment, and word recognition in quiet is only performed when it is likely to be suboptimal.
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