Healthcare Experiences of Elderly Patients and Managers’ Reactions to Video Testimonies
Bibliographic record
Abstract
Abstract Introduction : The involvement of citizen/patient partners is increasingly essential in health care research and in the management of health organizations. Capturing the perspective of citizen/patient partners allows better targeting of their needs and expectations in research projects, in teaching health professionals, and in organizational or clinical decision-making in health and social services networks. However, the involvement of older people in reflections on care trajectories is a challenge given the different characteristics associated with aging (age, mobility, neurocognitive disorders, comorbidities, frailty, etc.). Objective : To expose the voices of elderly patients with respect to their care trajectories in the Quebec context and to elicit managers’ reactions to their testimonies. Methodology : With the help of citizen partners, the coordinating team of a workshop presented at the Summer School in Health Services Management of the Faculty of Administrative Sciences (Université Laval, Québec, Canada) 2022, recruited nine elderly people who were living at home or in a residence for autonomous elderly to discuss their experiences in the health care system. Through semi-structured interviews, their testimonies were videotaped and presented to health care managers during a workshop. Results : The testimonies exposed issues and their appreciation of health and social services under the themes of the ability to meet their needs and expectations, coordination and care trajectory, home help services and potential improvements. Discussion : The testimonies of these elderly patients are particularly touching and informative. Although the data cannot be generalized, they can serve as an exploratory basis for reflection on improving health care and social services for the elderly population by ensuring that their needs are at the heart of our priorities.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".