Morally Problematic Situations Encountered by Adults Living With Rare Diseases
Bibliographic record
Abstract
BACKGROUND: Rare diseases are generally poorly understood from scientific and medical standpoints due, to their complexity and low prevalence. As a result, individuals living with rare diseases struggle to obtain timely diagnoses and suitable care. These clinical difficulties add to the physical and psychological impacts of living with chronic and often severe medical conditions. From the standpoint of pragmatist ethics, the morally problematic situations that adults living with rare diseases experience matter crucially. However, there is little known about these experiences. METHODS: A survey study was conducted with 121 adults living with rare diseases in Québec, Canada, to identify morally problematic situations encountered in the healthcare system and everyday life as part of a participatory action research project. Morally problematic situations elicited internal tensions and constraints to agency. RESULTS: Adults living with rare diseases experienced morally problematic situations of stigmatization, disbelief, and sometimes abuse in the healthcare system. These situations were compounded by diagnostic delays, inadequate care, and suboptimal follow-up, and led some individuals to opt-out of medical care. In their personal lives, these individuals sometimes found themselves in situations of physical and financial dependency. They often also had to give up professional occupations, academic training, or life projects. CONCLUSIONS: Adults living with rare diseases experience important morally problematic situations navigating the healthcare system and their everyday lives, some of which could be alleviated through interventions developed through future participatory action research.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| 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".