Health expenditures after first hospital admission for heart failure in Nova Scotia, Canada: a retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: Although the frequency of heart failure makes it among the costliest of illnesses, there are scant Canadian data on annual costs of treatment or the costs as the condition advances. Our objective was to estimate mean prevalence- and incidence-based direct medical costs among older adults discharged alive after a first hospital admission for heart failure. METHODS: We conducted a retrospective cohort study using population-based administrative health databases for Nova Scotia. The cohort comprised persons 50 years of age or older with an incident hospital admission for heart failure between 2009 and 2012. We considered the costs (expressed as 2020 Canadian dollars) of hospital admissions, physician visits and, for patients 65 years of age or older, outpatient cardiac medications. We estimated costs for calendar years, longitudinally and in the last 2 years of life. We analyzed costs from the perspective of a third-party public payer. RESULTS: The cohort consisted of 3327 patients (mean age 77.6 yr; 1605 [48.2%] women). Median survival was 2.5 and 2.2 years among men and women, respectively. Annual prevalence-based costs were about $7100. Mean incidence-based costs ranged between $65 000 and $164 000 in the year after diagnosis and decreased by 90% subsequently. Costs were 4 to 7 times higher in the year before death than in the period from 1 to 2 years before death. INTERPRETATION: The direct medical costs of treating patients with heart failure in Nova Scotia displayed a reverse J shape, with costs highest after diagnosis, declining subsequently and then increasing during the final year of life. Strategies designed to improve the quality of care immediately after diagnosis and during more advanced stages of disease might reduce these costs.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".