Purpose: Most speech-language pathologists (SLPs) working with children with developmental language disorder (DLD) do not perform language sample analysis (LSA) on a regular basis, although they do regard LSA as highly informative for goal setting and evaluating grammatical therapy. The primary aim of this study was to identify facilitators, barriers, and needs related to performing LSA by Dutch SLPs working with children with DLD. The secondary aim was to investigate whether a training would change the actual performance of LSA. Method: A focus group with 11 SLPs working in Dutch speech-language pathology practices was conducted. Barriers, facilitators, and needs were identified using thematic analysis and categorized using the theoretical domain framework. To address the barriers, a training was developed using software program CLAN. Changes in barriers and use of LSA were evaluated with a survey sent to participants before, directly after, and 3 months posttraining. Results: The barriers reported in the focus group were SLPs’ lack of knowledge and skills, time investment, negative beliefs about their capabilities, differences in beliefs about their professional role, and no reimbursement from health insurance companies. Posttraining survey results revealed that LSA was not performed more often in daily practice. Using CLAN was not the solution according to participating SLPs. Time investment remained a huge barrier. Conclusions: A training in performing LSA did not resolve the time investment barrier experienced by SLPs. User-friendly software, developed in codesign with SLPs might provide a solution. For the short-term, shorter samples, preferably from narrative tasks, should be considered.
DOCUMENT
Spontaneous speech is an important source of information for aphasia research. It is essential to collect the right amount of data: enough for distinctions in the data to become meaningful, but not so much that the data collection becomes too expensive or places an undue burden on participants. The latter issue is an ethical consideration when working with participants that find speaking difficult, such as speakers with aphasia. So, how much speech data is enough to draw meaningful conclusions? How does the uncertainty around the estimation of model parameters in a predictive model vary as a function of the length of texts used for training?
DOCUMENT
Background Children with speech sound disorders (SSD) are at higher risk of communication breakdown, but the impact of having an SSD may vary from child to child. Determining the severity of SSD helps speech-language therapists (SLTs) to recognise the extent of the problem and to identify and prioritise children who require intervention. Aims This study aimed to identify severity factors for SSD in order to develop a multifactorial Speech Sound Disorder Severity Construct (SSDSC) using SLTs’ views and the International Classification of Functioning, Disability and Health (ICF). Method In an explorative five-staged qualitative study, the research question was answered: ‘How do SLTs determine the severity of SSD in children?’. A total of 91 SLTs from The Netherlands participated in data collection and analysis. The iterative process included three different qualitative research methodologies (thematic analysis [TA], constructivist grounded theory [CGT] and content analysis [CA]) to ensure validation of the results by means of method triangulation. Results SLTs considered nine themes: intelligibility, speech accuracy, persistence, the child's perception, impact, communicative participation, concomitant factors, professional point of view, and environmental factors. The themes were summarised in three main severity factors: (I) Speech accuracy, (II) The child's perception of the impact of their speech, and (III) Intelligibility in communication. Other severity factors were concomitant factors and impact. Expertise and support were identified as facilitators or barriers that may worsen or relieve the severity of SSD. Conclusions This study highlights the need for SLTs to rethink how they think about severity as a simplistic construct reflecting only speech accuracy. It is recommended that a broader holistic approach to measuring severity is adopted.
LINK
ABSTRACT Purpose: This short paper describes the dashboard design process for online hate speech monitoring for multiple languages and platforms. Methodology/approach: A case study approach was adopted in which the authors followed a research & development project for a multilingual and multiplatform online dashboard monitoring online hate speech. The case under study is the project for the European Observatory of Online Hate (EOOH). Results: We outline the process taken for design and prototype development for which a design thinking approach was followed, including multiple potential user groups of the dashboard. The paper presents this process's outcome and the dashboard's initial use. The identified issues, such as obfuscation of the context or identity of user accounts of social media posts limiting the dashboard's usability while providing a trade-off in privacy protection, may contribute to the discourse on privacy and data protection in (big data) social media analysis for practitioners. Research limitations/implications: The results are from a single case study. Still, they may be relevant for other online hate speech detection and monitoring projects involving big data analysis and human annotation. Practical implications: The study emphasises the need to involve diverse user groups and a multidisciplinary team in developing a dashboard for online hate speech. The context in which potential online hate is disseminated and the network of accounts distributing or interacting with that hate speech seems relevant for analysis by a part of the user groups of the dashboard. International Information Management Association
LINK
Analysis of spontaneous speech is an important tool for clinical linguists to diagnose various types of neurodegenerative disease that affect the language processing areas. Prosody, fluency and voice quality may be affected in individuals with Parkinson's disease (PD, degradation of voice quality, unstable pitch), Alzheimer's disease (AD, monotonic pitch), and the non-fluent type of Primary Progressive Aphasia (PPA-NF, hesitant, non-fluent speech). In this study, the performance of a SVM classifier is evaluated that is trained on acoustic features only. The goal is to distinguish different types of brain damage based on recorded speech. Results show that the classifier can distinguish some dementia types (PPA-NF, AD), but not others (PD).
DOCUMENT
Background: Collaboration between Speech and Language Therapists (SLTs) and parents is considered best practice for children with developmental disorders. However, such collaborative approach is not yet implemented in therapy for children with developmental language disorders (DLD) in the Netherlands. Improving Dutch SLTs’ collaboration with parents requires insight in factors that influence the way SLTs work with parents. Aims: To explore the specific beliefs of Dutch SLTs that influence how they collaborate with parents of children with DLD. Methods and procedures: We conducted three online focus groups with 17 SLTs using a reflection tool and fictional examples of parents to prompt their thoughts, feelings and actions on specific scenarios. Data were organised using the Theoretical Domains Framework (TDF). Outcomes and results: We identified 34 specific beliefs across nine TDF domains on how SLTs collaborate with parents of children with DLD. The results indicate that SLTs hold beliefs on how to support SLTs in collaborating with parents but also conflicting specific beliefs regarding collaborative work with parents. The latter relate to SLTs’ perspectives on their professional role and identity, their approach towards parents, and their confidence and competence in working collaboratively with parents.
DOCUMENT
Electromagnetic articulography (EMA) is one of the instrumental phonetic research methods used for recording and assessing articulatory movements. Usually, articulographic data are analysed together with standard audio recordings. This paper, however, demonstrates how coupling the articulograph with devices providing other types of information may be used in more advanced speech research. A novel measurement system is presented that consists of the AG 500 electromagnetic articulograph, a 16-channel microphone array with a dedicated audio recorder and a video module consisting of 3 high-speed cameras. It is argued that synchronization of all these devices allows for comparative analyses of results obtained with the three components. To complement the description of the system, the article presents innovative data analysis techniques developed by the authors as well as preliminary results of the system’s accuracy.
DOCUMENT
In order to optimize collaboration between Speech and Language Therapists (SLTs) and parents of children with Developmental Language Disorders (DLD), our aim was to study what is needed for SLTs to transition from the parent-as-therapist aide model to the FCC model and optimal collaborate with parents. Chapter 2 discusses the significance of demystifying collaborative working by making explicit how collaboration works. Chapter 3 examines SLTs’ perspectives on engaging parents in parent-child interaction therapy, utilizing a secondary analysis of interview data. Chapter 4 presents a systematic review of specific strategies that therapists can employ to enhance their collaboration with parents of children with developmental disabilities. Chapter 5 explores the needs of parents in their collaborative interactions with SLTs during therapy for their children with DLD, based on semi-structured interviews. Chapter 6 reports the findings from a behavioral analysis of how SLTs currently engage with parents of children with DLD, using data from focus groups. Chapter 7 offers a general discussion on the findings of this thesis, synthesizing insights from previous chapters to propose recommendations for practice and future research.
DOCUMENT
Background: Goal setting is an essential step in the clinical reasoning process of speech and language therapists (SLTs) who provide care for children, adolescents and adults with communication disorders. In the light of person-centred care, shared or collaborative goal setting between the SLT and client is advised in (inter)national guidelines. SLTs face challenges in implementing (shared) goal setting as theoretical frameworks and practical interventions are scarce and less applicable to use with a wide range of communication vulnerable populations. Aims: A first step in developing theory and practical interventions is to explore first-hand experiences of SLTs and clients about day-to-day goal-setting practice. This study was guided by the following research question:What are the perspectives and needs of SLTs and persons with communication disorders regarding (shared) goal setting in routine SLT services? Methods & Procedures: The qualitative study was carried out in the setting of routine speech–language therapy services in community practices, primary education and neurological rehabilitation in the Netherlands. Data collection followed the principles of video-reflexive ethnography, using video footage of goal-setting conversations to facilitate semi-structured, reflexive interviews.Data analysis was based on reflexive thematic analysis. A total of 12 interviews were conducted with client–SLT dyads, covering perspectives from children, parents and adults with a range of communication difficulties and their SLTs. Outcomes & Results: Data analysis resulted in four themes, of which two contain subthemes. Each theme represents a central organizing concept found in SLT and client interviews. The themes were identified as: (1) goal setting is a complex process; (2) goal talk needs to be communication accessible; (3) communicative participation goals are hard to grasp; and (4) the importance of relationships. Topics such as power imbalance, communication vulnerability, effective communication strategies, and motivation and trust are explored under these themes. Conclusions & Implications: SLTs are encouraged to view shared goal setting as a process that needs to be explicitly planned and communicated with clients regardless of their age or communication vulnerability. SLTs have expert knowledge and skills when it comes to supporting communication and applying these skills during goal talks might strengthen shared goal setting and foster a therapeutic relationship. There is a need to concretely conceptualize and embed shared goal setting in policy and clinical guidelines. The themes reported have tentative clinical implications for developing such policy, and shared goal-setting interventions for SLT practice, under the condition that SLTs and people with communication disorders are continuously involved.
MULTIFILE
From the article: "Individuals with dementia often experience a decline in their ability to use language. Language problems have been reported in individuals with dementia caused by Alzheimer’s disease, Parkinson’s disease or degeneration of the fronto-temporal area. Acoustic properties are relatively easy to measure with software, which promises a cost-effective way to analyze larger discourses. We study the usefulness of acoustic features to distinguish the speech of German-speaking controls and patients with dementia caused by (a) Alzheimer’s disease, (b) Parkinson’s disease or (c) PPA/FTD. Previous studies have shown that each of these types affects speech parameters such as prosody, voice quality and fluency (Schulz 2002; Ma, Whitehill, and Cheung 2010; Rusz et al. 2016; Kato et al. 2013; Peintner et al. 2008). Prior work on the characteristics of the speech of individuals with dementia is usually based on samples from clinical tests, such as the Western Aphasia Battery or the Wechsler Logical Memory task. Spontaneous day-to-day speech may be different, because participants may show less of their vocal abilities in casual speech than in specifically designed test scenarios. It is unclear to what extent the previously reported speech characteristics are still detectable in casual conversations by software. The research question in this study is: how useful for classification are acoustic properties measured in spontaneous speech."
MULTIFILE
