<p>Older adults&rsquo; suggestions to engage other older adults in health and healthcare: a qualitative study conducted in western Canada</p>
Bibliographic record
Abstract
AIM: This qualitative study reports identified themes from suggestions made by 533 Canadian older adults, aged ≥65 years in response to the open-ended question contained in a Saskatchewan Telephone Survey: "What suggestions can you make to engage someone in their health and healthcare?". BACKGROUND: In 2016, seniors accounted for 16.9% of the Canadian population. As Canadians age over the next 30 years, emergency room visits are predicted to increase by 40%, outpacing the expected 30% population growth. Avoiding this increase could save the nation about $210 million annually. A recent US study reported that the ability of seniors to carry out self-care actions predicted lower likelihood of emergency department use within 3 months. MATERIALS AND METHODS: We conducted a secondary data analysis based on a province-wide, cross-sectional Saskatchewan (Canada) Telephone Survey of seniors' self-care needs conducted in March-June 2018 (N=1,000). Results were analyzed using qualitative thematic content analysis. Data were charted and coded separately by two researchers; coding conflicts were resolved by consensus. RESULTS: A total of 533 seniors answered the open-ended question. Content analysis resulted in 11 contextual content areas with 956 total suggestions. Five key themes emerged, which included the following: feasible healthcare access, being proactive toward healthy living, having social support systems, being more open to alternative medicine, and other self-care options, and having more trained healthcare professionals to care for seniors. CONCLUSION: This study reveals facilitators and challenges that currently face seniors. Seniors want equitable access to professional healthcare services and an environment that fosters self-care actions in everyday living. There is a gap in supports that would assist seniors to engage in their health and healthcare. Additional research on this issue could further inform health and human service providers to develop patient-centered strategies for promoting self-care among seniors.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".