Factors Associated With 7-Day Rehospitalization After Heart Failure Admission
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Rehospitalizations within 7 days after discharge may reflect the quality of hospital care. OBJECTIVE: We examined factors associated with 7-day readmissions after discharge for heart failure (HF). METHODS: Using a matched pair case-control design, we examined health records for sociodemographic, clinical, and health system factors for patients with a primary diagnosis of HF (ICD-10 I50) discharged alive from all acute care hospitals in Calgary, Alberta, from 2004 to 2012. Logistic regression was used to identify variables associated with 7-day all-cause readmission. RESULTS: We included 382 patients, or 191 in matched pairs, with 41% of readmissions due to HF. Frailty (adjusted odds ratio [aOR], 2.30; 95% confidence interval [CI], 1.41-3.76) and attending physician as specialist (aOR, 2.10; 95% CI, 1.32-3.42) were associated with increased likelihood of readmission. Reduced likelihood of readmission was associated with documented instructions for follow-up with a family physician within 1 week of discharge (aOR, 0.56; 95% CI, 0.36-0.88). All 3 factors were easily abstracted from all patient records, including frailty, which was defined as all 3 of age older than 75 years, 3 or more comorbid conditions, and requiring assistance with activities of daily living. CONCLUSION: Very early readmission to hospital after HF admission is associated with 3 factors that may be easily identified in patient records.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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