Perspectives of speech and language therapists in paediatric palliative care:an international exploratory study
Bibliographic record
Abstract
Background: The involvement of speech and language therapists (SLTs) within paediatric palliative care (PPC) settings has been recognized within the extant literature. However, there is little understanding of SLT's specific roles and practices when working with this vulnerable cohort of children and their families. As part of a larger body of work to develop consensus-based recommendations for SLTs working in PPC, it is important to investigate demographic and caseload characteristics. Aims: This exploratory study aimed to gather previously undocumented international demographic data pertaining to SLT service provision, caseload and training in PPC. Additionally, it sought to ascertain the current treatment and assessment approaches of SLTs, and if variations exist in beliefs and practices. Methods & Procedures: An anonymous cross-sectional survey was designed and reported according to the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). The online survey consisted of 40 items spanning four domains: (1) demographic information, (2) caseload information, (3) service provision and (4) training and education. SLTs from Australia, Canada, New Zealand, the UK, Ireland and the United States were recruited using a purposive snowball sampling approach. Descriptive analysis of closed-ended survey responses and content analysis of open-ended responses are presented. Outcomes & Results: A total of 52 respondents completed the survey. SLTs worked in a variety of PPC settings, with patients of varying age and disease groups. Over 50% of participants reported working in PPC for ≤ 4 years. Genetic disorders (34%), oncology (27%) and neurological conditions (21%) made up a significant portion of respondents’ caseloads. Reported treatments and assessment approaches used by SLTs are not unique to a PPC population. Barriers and enablers for practice were identified. A portion of participants did not feel trained and prepared to assess (19.2%) or treat (15.4%) PPC clients. Conclusions & Implications: This study confirms that SLTs internationally have a role in the management of communication and swallowing impairments in a PPC context. However, whether current training and resources adequately support SLTs in this role remains questionable. This paper helps to provide SLTs, administrators, professional associations and tertiary institutions with foundational data to help inform workforce planning, advocacy efforts and training priorities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".