Risks and older adults with atrial fibrillation in rural communities: an integration lens
Bibliographic record
Abstract
Purpose – Older adults with atrial fibrillation (AF) have put growing demands on a poorly integrated healthcare system. This is of particular concern in rural communities with rapid population aging and few healthcare resources elevating risk of stroke and mortality. The purpose of this paper is to explore healthcare delivery risks for rural older adults with AF. Design/methodology/approach – This qualitative study collected data from AF patients, healthcare providers and decision makers. Ten patients participated in six-month care journeys involving interviews, logs, photos, and chart reviews. In total, 13 different patients and ten healthcare providers participated in focus groups and two decision makers participated in interviews. Findings – Three key health service risks emerged: lack of patient-focussed access and self-management; unplanned care coordination and follow-up across the continuum of care; and ineffective teamwork with variable perspectives among patients, providers, and decision makers. Originality/value – This study extends the understanding of risks to the health system level. Results provide important information for further research aimed at interventions to improve health service delivery and policy change to mitigate risks for this population.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".