Exploring the challenges and opportunities of navigating community and healthcare systems among informal caregivers of older adults: Towards communication-oriented care
Bibliographic record
Abstract
Despite the integrative role of informal caregivers in navigating community and healthcare systems for older adults, their perspectives and experiences have not been fully examined. This study aimed to fill knowledge gaps related to the challenges of informal caregiving in the context of community and healthcare system navigation (SN). Informed by the Behavioural-Ecological Framework of Healthcare Access and Navigation (BEAN) model, twenty semi-structured interviews were conducted with informal caregivers of older adults and analyzed using NVivo 14. Interviews were conducted from February to July 2024 via Zoom or phone. Utilizing a grounded theory approach, gaps in communication with different service providers and the lack of continuity across the care settings were identified as major themes. We use these to revise the BEAN model in particular by incorporating findings elucidating communication-oriented care. We discuss future directions to tackle these issues for better navigation experiences in the community and healthcare system.
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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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".