Use of managed care claims data in the risk assessment of venous thromboembolism in outpatients.

ABSTRACT

BACKGROUND: Deep vein thrombosis (DVT) is a complication of immobilizing illness in both inpatient and outpatient settings and can lead to serious complications such as pulmonary embolism (PE). DVT and PE are collectively referred to as venous thromboembolism. OBJECTIVE: To develop DVT and PE risk assessment models that can be used in office-based practice and for population-based disease management efforts. METHODS: Data were culled from integrated medical and pharmacy claims paid by 37 health plans in the United States (the PharMetrics Integrated Outcomes Database, PharMetrics Inc., Watertown, MA), and included information on adult plan members enrolled during 1998 and 1999. Patients hospitalized for DVT or PE in 1999 were identified, and potential risk factors were assessed by reviewing claims for the entire study population in 1998 to document prior DVT or immobilizing illness. The contribution of each potential risk factor to the probability of the occurrence of DVT or PE was determined by means of multiple logistic regression analysis. A risk-scoring algorithm based on regression coefficients was then developed. RESULTS: Fifty-two percent of the study population of 2.8 million plan members were women. DVT or PE occurred in 1330 of those 2.8 million individuals (47 per 100,000). Logistic regression results confirmed the role of risk factors previously reported in the literature and revealed additional risk factors that have not been reported previously, including diabetes, renal failure, rheumatoid arthritis, cellulitis, use of warfarin, use of systemic corticosteroids, and use of potassium chloride. When risk scores were applied to the study population, the 1% identified as being at highest risk had a probability for the development of venous thromboembolism that was 10 times greater than that of the population average. CONCLUSIONS: This study confirms the feasibility of using managed care claims data to develop a risk assessment tool for venous thromboembolism that can be used in office-based practice and for population-based disease management.