Profile of Patients with Amyotrophic Lateral Sclerosis Across Continuum of Care
Bibliographic record
Abstract
OBJECTIVE: This study describes the socio-demographic and clinical profile of persons with amyotrophic lateral sclerosis (ALS) in home care, nursing homes and complex continuing care settings in several Canadian jurisdictions. METHODS: A cross-sectional study was conducted using available Resident Assessment Instrument (RAI 2.0 and RAI Home Care) national databases from 1996- 2011. The profile of ALS patients was compared with patients without pre-specified neurological conditions. RESULTS: There were 2,092 ALS patients identified in these settings. Persons with ALS were more likely than those in the comparison group to suffer from health instability (25.4%) and minor to major depressive symptoms (27.2%) , to experience falls (44.0%) and weight loss (22.9%), to require extensive assistance in activities of daily living (54.9%), and to receive rehabilitation services: physical (23.9%), speech language pathology (8.9%), and occupational therapy 43.3%). CONCLUSIONS: The ALS population in this study are greatly affected by a number of health issues. They are more likely than the comparison group to require therapies, medical interventions, and psychotropic drug use. While persons with ALS have a poor prognosis, a great deal could be done to enhance their quality of life and the quality of care they receive.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".