Economic Burden and Cost Determinants of Deep Venous Thrombosis During the Two Years Following Diagnosis: a Prospective Evaluation
Bibliographic record
Abstract
Abstract Abstract 566 Background and objectives: Deep venous thrombosis (DVT) is a common and serious vascular condition that is frequently complicated by the chronic post-thrombotic syndrome. Costs of DVT may occur over a long period and may be medical and non-medical in nature. During a Canadian multicenter cohort study of the long-term outcomes after DVT (The Venous Thrombosis Outcomes [VETO] Study), we prospectively quantified resource use and costs related to DVT during two years after DVT diagnosis, and identified clinical determinants of costs. Methods: The study population consisted of 355 consecutive patients diagnosed with objectively confirmed acute DVT at one of 7 participating hospitals in the province of Quebec, Canada. Using a societal perspective, we tracked total medical resource use (hospitalizations, physician visits, other health professional visits, medications, ambulance services, stockings, assistive devices) and non-medical resource use (loss of productivity, home care, transportation) incurred by DVT during the 2 years after diagnosis. Data sources included weekly patient-completed cost diaries, nurse-completed case report forms (baseline, 1, 4, 8, 12, 24 months and at any DVT-related clinical event) and the Quebec provincial administrative healthcare database (“RAMQ”). Resources for each patient were valued using individual patient level information obtained from RAMQ and patient diaries. Statistics Canada data, provincial health professionals associations and local suppliers were used to estimate resource costs if individual information was not available. The value of lost productivity was estimated using a friction-cost approach. Multivariate regression modeling for predictors of medical costs during 2 years included baseline demographic and clinical characteristics as well as the development of post-thrombotic syndrome (PTS) during study follow-up. Results: At study entry, mean age was 56.5 years, 50.1% were male, 2/3 were out-patients and 58.0% had proximal DVT. The mean duration of heparin and warfarin treatment was 7.6 days (SD 6.0) and 21.6 weeks (SD 10.0), respectively. During 2 years follow-up, the rate of DVT-related hospitalization was 3.5 per 100 patient-years (95% CI 2.2, 4.9). Patients reported, on average, 15.0 (SD 14.5) physician visits and 0.7 (SD 1.2) non-physician visits. Patients required 12.7 (SD 9.2) transportations, 38.6 (SD 138.0) hours of assistance and missed 12.1 (SD 39.8) workdays. The average per-patient total cost over 2 years was Can$4109 (95% CI $3658, $4561) with 63.7% of costs attributable to non-medical resource use. The two largest medical cost components were hospitalizations (Can$502; 95% CI $261, $744) and physician visits (Can$356; 95% CI $320, $392). More than two-thirds of all resource consumption occurred during the first 4 months after diagnosis. In multivariate analysis focusing on determinants of medical costs, concomitant pulmonary embolism (p = 0.002), idiopathic DVT (p= 0.003), and development of post-thrombotic syndrome during follow-up (p= 0.002) were independently associated with increased costs. Conclusion: The economic burden of DVT over the two years following initial diagnosis is substantial with almost two-thirds of costs attributable to non-medical resource use. Concomitant pulmonary embolism, idiopathic DVT, and development of PTS are important predictors of medical costs after DVT. Better adherence to thromboprophylaxis strategies and use of measures to prevent occurrence of PTS have the potential to diminish costs and resource utilization related to DVT. Disclosures: No relevant conflicts of interest to declare.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".