Direct medical costs of cardiovascular diseases: Do cost components vary according to sex and age?
Bibliographic record
Abstract
BACKGROUND: The aim was to estimate direct medical costs of men and women patients by age group related to cardiovascular diseases (coronary heart disease, strokes) in the province of Quebec, Canada from the economic perspective of the healthcare public system, encompassing five cost components: physician fees, hospitalization (hospital stay, intensive care stay), emergency visits and medication costs. METHODS: This matched case-control study involved secondary data from a longitudinal cohort study (1997-2018) of 4584 white-collar workers. Participants were followed for a four-year period. We used an incremental cost method of difference-in-difference. Descriptive analyses using frequency counts, arithmetic means, standardized differences, chi-squared tests, and Student's T-tests were performed. Direct medical costs were estimated using mean and 95% bootstrap confidence interval. RESULTS: Direct medical costs per case were CAD $4970 [4344, 5595] for all in the first year after the event. For men patients, direct medical costs were $5351 [4649, 6053] and $4234 [2880, 5588] for women in the first year after the event, $221 [-229, 671] for men and $226 [-727, 1179] for women in the second year, and $11 [-356, 377] for men and $-24 [-612, 564] for women in the third year. This decrease was observed for both men and women, with higher costs for men. Within the first year, physician fees dominated CVD-associated costs among both men and women cases younger than 65. However, hospital stay represented the costliest component among cases aged 65 and older, incurring higher costs in women compared to men. In the subsequent years, the distribution of costs showed variations according to sex and age, with either medication costs or physician fees being the predominant components, depending on the specific subgroups. CONCLUSIONS: CVD-associated direct medical costs varied by components, sex, age, and follow-up years. Patients with CVD incurred more than twice the medical costs as compared to patients without CVD of same age and sex.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".