The Diverse Journeys of Rural Older Adults with Atrial Fibrillation
Bibliographic record
Abstract
Rationale, aims and objectives: Atrial fibrillation (AF) is a serious chronic heart condition characterized by an irregular, rapid heartbeat and unpredictable course. Patients with AF often struggle with managing the impact of the disease on daily activities. Afflicted rural dwelling patients face added challenges including inequities in health services and a lack of cardiac specialty services. AF patient journeys through the healthcare system have not been well documented, but offer a valuable tool for improving patient management and outcomes. The purpose of this study was to document individual AF patient journeys of rural living older adults. Method: This study used a 6-month longitudinal design to examine the rural healthcare experiences of 10 AF patients. AF patient journeys were mapped using information gathered through interviews, written logs, photographs and an electronic health record review. Thematic analysis was used in clustering common features of the healthcare journeys of older adult patients with AF and a typology developed to describe them. Results: Each patient’s journey with AF was unique. Symptom and disease severity, health service utilization and needs emerged as differentiating features in the identification of 3 journey types: (1) Stable, (2) Chronically Unstable and (3) Acute Crisis. Conclusions: These journey types provide a valuable person-centered tool to assess patient needs at any point in the AF trajectory and to address salient risks that accompany each type to improve management of the increasing number of persons suffering from AF.
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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 | 0.015 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".