“If she recommends it, I would have it”. A qualitative study of nonagenarians’ perspectives of their health status and healthcare
Bibliographic record
Abstract
In the developed world, the population is rapidly aging. Primary care physicians will be called upon to deliver person-centred care to this population. However, current models of care are poorly adapted to the needs of the very old and an adequate evidence base does not exist. We conducted a qualitative study to elicit and explore the perceptions of nonagenarians who attend a primary care clinic in Ontario, Canada. Saturation was achieved after 13 interviews. The key themes identified were, positive self-perception of health status trust in the primary care physician, fear of ageism in the healthcare system, and limits to care. The trust in the competency of the primary care physician may be misplaced given the paucity of available evidence on appropriate outcome measures in this population. Ageism should be countered by creating systems of person-centered care that focus specifically on the needs of the very old in primary care.
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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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".