A Digital Self‐Administered Check‐Up Assessment and Evaluation of Risk Communication in Older People
Bibliographic record
Abstract
BACKGROUND: Digital health tools can significantly contribute to the continuum of care and support for persons with their self-management role. Despite the increasing adoption of digital health tools, little is known about the uptake and comfort of use among older persons. METHODS: A mixed methods design was used to assess the feasibility and utility of the check-up (CU), a self-administered digital health assessment for older persons. For the older person, qualitative interviews and de-identified CU assessment data were collected. A focus group was held to gain the health provider perspective. RESULTS: A total of 32 online CU assessments were completed, and 17 individuals participated in interviews. Three main themes were identified: digital literacy and accessibility, communication of risk and role within the circle of care. CONCLUSION: Self-administered digital assessments are feasible for older adults. Strategies for adoption should focus on accessibility and collaboration with health professionals to maximise utility and understanding of assessment results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".