Exploring associations between older adults’ demographic characteristics and their perceptions of self‐care actions for communicating with healthcare professionals in southern United States
Bibliographic record
Abstract
AIMS: This study examined associations between older adults' demographic factors and their perceived importance of, desire to and ability to perform seven self-care behaviours for communicating with healthcare professionals. DESIGN: This cross-sectional survey study analysed subset data of 123 older adults 65 years and older, living in southern United States. METHODS: (57 items, grouped into 11 categories) was used to collect self-reported self-care data. Demographic characteristics were also collected. Descriptive statistics and logistic regression analyses were used to tests for relationships between the variables relevant to the research objective. RESULTS: Regression findings showed that separated older adults felt less able to share ideas about their healthcare experiences compared to married older adults. Male older adults reported less desire to list issues to discuss and less desire to share ideas about their care experience with their healthcare professionals compared to their female counterparts.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".