Patterns of Care and Outcomes Differ for Urban Versus Rural Patients With Newly Diagnosed Heart Failure, Even in a Universal Healthcare System
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Access to medical care differs between urban and rural residents, but the magnitude of these differences and whether they affect outcomes are unknown. We aimed to determine whether outcomes differ for patients with incident heart failure (HF) by urban-rural status. METHODS AND RESULTS: This cohort study used administrative data from Alberta, Canada. Patients with incident HF were identified from April 1, 1999, to December 31, 2005, and followed for 1-year. Multivariable logistic regression was used to assess differences in 1-year outcomes after initial HF diagnosis in patients living in rural versus urban settings. We identified 72 043 patients with incident HF (mean age, 72±14; male sex, 50%) of whom 12 173 (17%) died and 29 074 (39%) were hospitalized within 1 year. Although crude all-cause 1-year mortality rates were higher in urban than in rural residents (17.3% versus 15.6%, P<0.001), after adjustment for comorbidities, no significant differences were observed (adjusted odds ratio [aOR], 0.95; 95% CI, 0.90 to 1.00). However, sex-specific analyses indicated that urban men had a significantly lower risk of mortality than rural men (aOR, 0.89; 95% CI, 0.83 to 0.96). In contrast, no difference was observed between urban and rural women (aOR, 1.02; 95% CI, 0.94 to 1.10). Urban patients were more likely to have office-based physician visits in the first year after HF diagnosis (aOR, 1.09; 95% CI, 1.02 to 1.17) and exhibited lower rates of hospitalization (aOR, 0.71; 95% CI, 0.68 to 0.74) and emergency department visits (aOR, 0.62; 95% CI, 0.60 to 0.65) than rural patients. CONCLUSIONS: Even within a universal healthcare system, there are differences in outcomes after HF diagnosis based on location of residence. Urban patients with HF are more likely to receive outpatient care and less likely to be hospitalized or present to the emergency department in the first year after diagnosis than rural patients with HF.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it