Accessing and Receiving Speech-Language Pathology Services at the Multidisciplinary Amyotrophic Lateral Sclerosis Clinic: An Exploratory Qualitative Study of Patient Experiences and Needs
Bibliographic record
Abstract
PURPOSE: This study sought to explore how patients with amyotrophic lateral sclerosis (ALS) presenting with coexisting bulbar and cognitive impairments and their caregivers experienced the speech-language pathologist (SLP) services provided in multidisciplinary ALS clinics in Canada and identified their perceived needs for bulbar symptom management. METHOD: This qualitative study was informed by interpretive description. Seven interviews were conducted with patients with severe bulbar dysfunction or severe bulbar and cognitive dysfunction due to ALS or ALS-frontotemporal dementia, respectively, and/or their caregivers. Purposive sampling was used to recruit individuals with severe bulbar or bulbar and cognitive disease. Thematic analysis was used to analyze interview data. RESULTS: Patients and caregivers reported difficulties with accessing and receiving SLP services at the multidisciplinary ALS clinic. These difficulties were further exacerbated in those with severe cognitive disease. Participants expressed a need for more specific (i.e., disease and service-related) information and personalized care to address their changing needs and preferences. Engaging caregivers earlier in SLP appointments was perceived as vital to support care planning and provide in-time caregiver education. CONCLUSIONS: This study highlighted the challenges experienced by patients and caregivers in accessing and receiving SLP services. There is a pressing need for a more person-centered approach to ALS care and a continuing need for education of SLPs on care provision in cases of complex multisymptom diseases within a multidisciplinary ALS clinic. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.24069222.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".