Amyotrophic lateral sclerosis (ALS) health charities are central to ALS care: perspectives of Canadians affected by ALS
Bibliographic record
Abstract
OBJECTIVE: Expert consensus guidelines recommend referral of people with amyotrophic lateral sclerosis (ALS) to ALS health charities for support. Limited research indicates that patients and families value interaction with these volunteer sector organizations. We investigated how patient support from Canadian ALS health charities (ALS Societies) is experienced by those affected by ALS, and whether patient-centered outcomes validate recommendations for referral. METHODS: Data were drawn from the ALS Talk Project, an asynchronous online focus group study. Patients and family caregivers were recruited from regions across Canada. Seven groups met online for 14 weeks between January and July 2020. Seventy-eight participants made statements about ALS Societies. Data were qualitatively analyzed using directed content analysis and the constant-comparative approach. RESULTS: Participants viewed ALS Societies as integral to the healthcare system. The Societies acted as patient navigators and filled perceived care gaps, including psychological support. They provided critical practical assistance, particularly equipment loans and peer support groups; comprehensive disease-related and real-life information; and personal connections. They facilitated knowledge of research, emerging therapies, and research opportunities. Delayed referral to ALS Society supports and information resources was a concern for some participants. CONCLUSIONS: ALS Societies provide patients with critical practical, informational, and emotional support and play an overarching role as patient/research navigators. Patient-centred outcomes support patient referral to ALS Societies. Communication about the services provided should be a standard component of clinical care, with choice of access left to individuals. Clinical conversations should be supplemented with information resources developed by these voluntary sector organizations.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.036 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".