User Perspectives on Issues that Influence the Quality of Daily life of Ventilator‐Assisted Individuals with Neuromuscular Disorders
Bibliographic record
Abstract
OBJECTIVES: To identify user perspectives on the issues that impact the quality of the daily lives of ventilator-assisted individuals living in the community. METHODS: Semistructured interviews were held with 26 Canadian ventilator-assisted individuals (mean age 44+/-14 [SD] years, range 23 to 60 years; mean ventilator experience 18+/-13 years, range three to 53 years) whose disability from neuromuscular conditions necessitated assistance with activities of daily living. Participants described their daily life experiences and perceptions of the factors that limited or enhanced their quality. Interviews were tape-recorded, transcribed and analyzed for emergent codes and themes. RESULTS: Ventilator users characterized important issues in terms of personal successes and limitations, as well as dependencies on others for daily living. Personal support services, income security, health care and transportation were important positive contributors to their quality of life. Dependency on others was clearly a negative contributor. The ventilator was regarded as a form of assistive technology, similar to a wheelchair. Ventilator users perceived that ventilation was associated with a stigma and negative assumptions about disability, particularly if suctioning was required. CONCLUSIONS: The majority of participants considered home mechanical ventilation to be a positive benefit for independent living, enhancing their overall health. They were clear as to the issues of importance to them, and formulated recommendations for health care providers and policy makers that could improve the quality of their daily lives. Many of the issues identified in the present report are faced by the growing community of ventilator users.
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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 | 0.001 | 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 | 0.001 |
| 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".