The purpose of this laboratory study was to investigate whether rhythmic speech was primarily responsible for stuttering reductions in four school-aged children after the instatement stage of the Westmead Program of syllable-timed speech (STS) intervention. The study was designed to inform further development of the program. Reduction in variability of vowel duration is a marker of STS, and it was predicted that this would be present in the children's conversational speech after Stage 1 of the program if they were using STS. To strengthen such a finding, it was also predicted that there would be no reduction in articulation rate, sentence complexity, and utterance length after treatment, as there is evidence that reductions in these can reduce stuttering. Perceptual judgments of speech quality after treatment were also made by independent listeners. Participants were four children, ages 8-11 years, who completed Stage 1 of an STS program and whose stuttering had reduced significantly. Pre-treatment (PRE) and post-treatment (POST) within-clinic audio-visual recordings of conversational speech were analysed for percentage of syllables stuttered, variability of vowel duration, articulation rate, and length and complexity of utterance. Four blinded listeners made perceptual judgments of speech quality in the POST recordings. Recordings of all children showed that variability of vowel duration clearly reduced from the PRE to POST speech samples. Importantly, articulation rate and language use were not compromised. Some possible indicators of rhythmicity were identified in one child in the perceptual study. The findings suggest that STS was primarily responsible for the clinically significant reductions in stuttering after Stage 1 of the program. There is an urgent need for more evidence-based interventions for stuttering in this age group and further development of STS interventions is warranted.
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http://dx.doi.org/10.1080/17549507.2021.1946152 | DOI Listing |
Patient Educ Couns
January 2025
Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Brigham and Women's Hospital, Boston, MA, USA. Electronic address:
Context: Effective communication between patients and oncologists is crucial, particularly around illness understanding. When this communication is asymmetric or imbalanced, it can hinder shared decision-making and lead to suboptimal clinical outcomes.
Objectives: We sought to describe physician-patient speech imbalances ("asymmetry") in illness understanding portions of discussions between oncologists and advanced cancer patients and explore potential trends related to patient characteristics.
Noise Health
January 2025
Department of EICU, Wenzhou Central Hospital; The Dingli Clinical College of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Purpose: This study aimed to assess the levels and sources of noise in the emergency intensive care unit (EICU) of an emergency department and investigate their effects on the sleep quality of conscious patients.
Methods: A study was conducted on patients admitted to the EICU from December 2020 to December 2023. They were categorised according to their sleep quality with the Pittsburgh Sleep Quality Index.
Jpn J Nurs Sci
January 2025
Department of Palliative Nursing, Health Sciences, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Aim: Patient-reported outcome measures (PROMs) are increasingly used in palliative care to evaluate patients' symptoms and conditions. Healthcare providers often collect PROMs through conversations. However, the manual entry of these data into electronic medical records can be burdensome for healthcare providers.
View Article and Find Full Text PDFAm J Speech Lang Pathol
January 2025
University of Sydney, New South Wales, Australia.
Purpose: The purpose of this pilot investigation was to identify formative feedback to guide the development of a North American version of the TBIconneCT program. A secondary purpose was to examine the feasibility of delivering the intervention by graduate students.
Method: Two cohorts of individuals with chronic brain injuries and their communication partners were recruited for a 10-week, modified TBIconneCT program delivered by graduate student clinicians via telehealth.
Sensors (Basel)
December 2024
Department of Information Convergence Engineering, Pusan National University, Busan 46241, Republic of Korea.
Dialogue systems must understand children's utterance intentions by considering their unique linguistic characteristics, such as syntactic incompleteness, pronunciation inaccuracies, and creative expressions, to enable natural conversational engagement in child-robot interactions. Even state-of-the-art large language models (LLMs) for language understanding and contextual awareness cannot comprehend children's intent as accurately as humans because of their distinctive features. An LLM-based dialogue system should acquire the manner by which humans understand children's speech to enhance its intention reasoning performance in verbal interactions with children.
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