Perspectives on ageing: a qualitative study of the expectations, priorities, needs and values of older people from two Canadian provinces
Bibliographic record
Abstract
BACKGROUND: Understanding the needs and values of older people is vital to build responsive policies, services and research agendas in this time of demographic transition. Older peoples' expectations and priorities for ageing, as well as their beliefs regarding challenges facing ageing societies, are multi-faceted and require regular updates as populations' age. OBJECTIVE: To develop an understanding of self-perceptions of ageing and societal ageing among Canadian retirees of the education sector to define a meaningful health research agenda. METHODS: We conducted four qualitative focus groups among 27 members of a Canadian retired educators' organisation. Data were analysed using an inductive thematic approach. RESULTS: We identified four overarching themes: (1) vulnerability to health challenges despite a healthier generation, (2) maintaining health and social connection for optimal ageing, (3) strengthening person-centred healthcare for ageing societies and (4) mobilising a critical mass to enact change. Participants' preconceptions of ageing differed from their personal experiences. They prioritised maintaining health and social connections and felt that current healthcare practices disempowered them to manage and optimise their health. Although the sheer size of their demographic instilled optimism of their potential to garner positive change, participants felt they lacked mechanisms to contribute to developing solutions to address this transition. CONCLUSION: Our findings suggest a need for health research that improves perceptions of ageing and supports health system transformations to deliver person-centred care. Opportunities exist to harness their activism to engage older people as partners in shaping solution-oriented research that can support planning for an ageing society.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".