Key stakeholders’ views on the quality of care and services available to frail seniors in Canada
Bibliographic record
Abstract
BACKGROUND: Frail seniors often receive ineffective care, which does not meet their needs. It is still unclear how healthcare systems should be redesigned to be more sensitive to the needs and values of frail seniors and their caregivers. We thus aimed to describe key stakeholders' perspectives on the current healthcare and services available to frail seniors. METHODS: In this qualitative descriptive study, we conducted semi-structured interviews with a convenience sample of 42 frail seniors, caregivers, clinicians, or healthcare administrators/decision makers involved in frail senior care from five Canadian provinces. We explored participants' perspectives on the quality of care and services for frail seniors. We used an inductive/deductive thematic data analysis approach based on the Square-of-Care model, including emerging themes using the constant comparison method. RESULTS: We grouped participants' perspectives into strengths, weaknesses and opportunities for improvement, and then into nine themes: care processes, continuity of care, social frailty, access to healthcare and services, models of healthcare delivery, cost of care, healthcare staff management and professional development of healthcare providers, material resources and environmental design of healthcare facilities, and coordination of care. Our findings suggest redesigning assessment, communication with frail seniors and their caregivers, targeting care and services to the needs, and integrating care better across settings and in time. CONCLUSIONS: A systematic identification of frail older people is the first step to adapt healthcare systems to this population's needs. Participation of frail older people and their caregivers to decision making would also allow choosing care plans meeting their care goals. The integration of care and services across settings, over time, and with various providers, is also needed to meet frail senior needs.
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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 | 0.000 |
| 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 | 0.000 |
| 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".