The Economic Burden of Acute Venous Thromboembolism During One Year Following Diagnosis: A Population-Based Cohort Study
Notice bibliographique
Résumé
Abstract Abstract 1152 Background: Although venous thromboembolism (VTE) is the third most common cardiovascular condition after myocardial infarct and stroke, few data exist on the economic burden associated with this condition. Objective: We aimed to quantify the economic burden of acute VTE in direct medical costs in the general population. Methods: Using the linked administrative healthcare databases of the province of Québec, Canada, including the provincial hospitalization database (MED-ÉCHO) and the healthcare claims databases of RAMQ which is a government agency that administers the provincial universal healthcare program, we determined a source population of all RAMQ beneficiaries with a physician visit or a hospitalization associated with an ICD-9-CM or ICD-10-CA diagnosis code for deep vein thrombosis (DVT) or pulmonary embolism (PE) between January 1, 2000 and December 31, 2009 and without a DVT or PE code prior to January 1, 2000. From the source population, we identified a cohort of Québec residents with a definite VTE and a cohort with a definite or probable VTE. We used a priori determined diagnostic algorithms using RAMQ and MED-ÉCHO data to identify definite and probable VTE cases. Subjects were followed forward in time from first VTE until the earliest of either death or end of study period (December 31, 2009). We determined the total direct cost per year for VTE by applying unit costs to the patient resource use profile in the year after diagnosis of VTE. Resource costs included hospitalizations, physician visits, and prescription medications. Resources were valued by the use of individual patient-level information from RAMQ and MED-ÉCHO. All costs were standardized to the 2009–2010 fiscal year costs, and are reported in Canadian dollars (year 2010 average US exchange rate 1.04). The RAMQ Manuel de Facturation and Manuel des Services de laboratoire en établissement was used to determine fees physician acts associated with a VTE diagnosis. The RAMQ List des médicaments contains information on drugs covered by the provincial drug insurance plan and was used to determine VTE-related drug costs. Because hospital costs are not available in Québec, we used the Ontario Case Costing Initiative to obtain hospital cost data. Hospitalizations for VTE–related outcomes were identified. The mean cost per person-years of follow-up was calculated as the sum of all costs during the year after VTE diagnosis divided by the total person-time of follow-up during that year. Results: From the 245 452 Québec residents between 2000 and 2009 with at least 1 VTE diagnosis in RAMQ or MED-ÉCHO, we identified 40 776 cases with definite VTE, and 14 027 cases with probable VTE. The average direct cost per person-year for VTE is $4,449.13 in the year following a definite VTE (Table 1) and $3,418.83 in the year following a definite or probable VTE. In both cohorts, the majority of cost was incurred by hospitalization for the initial VTE, and average cost after PE was higher than cost following DVT. Conclusions: The economic burden of VTE is large, and is mainly due to the initial VTE hospitalization. Use of measures favouring the safe out-patient treatment of VTE and the development of management strategies to identify patients with acute PE who can safely be treated in the ambulatory setting have the potential to decrease cost. Disclosures: No relevant conflicts of interest to declare.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».