In this Section |
244799 Project Libra: A New Analytic Tool for Comparative Effectiveness Analyses of Multipayer Claims DatabasesTuesday, November 1, 2011: 8:50 AM
Research Objective: The project aimed to develop a secure, interactive tool that will enable researchers to perform comparative effectiveness studies and other types of research on a multi-payer claims database with reduced need for complicated programming. Methods: A common data model, through which multiple data sources are standardized and linked via common data structures and vocabularies, was used to format five administrative databases: Medicare Chronic Condition Warehouse, Thomson Reuters MarketScan� Medicaid Multistate, Medicare Supplemental, and Commercial databases, and Healthcare Cost and Utilization Project National Inpatient Sample database. A web-based User-Interface was developed that captures the logic typically required by CER methods and capitalizes on the longitudinality of administrative data. Tools were developed to allow users to search taxonomies to select particular drugs, diagnoses, and procedures; apply inclusion/exclusion criteria; and create outcome measures. A comparison of outcomes of atrial fibrillation treatment with rate or rhythm control medications was used to pilot test the tool. Results: The tool allowed users to quickly define a study sample using criteria commonly used in claims-based CER studies. The flow diagram created in the tool graphically illustrated the attrition of the sample size as inclusion and exclusion criteria were applied. Embedded SAS procedures enabled analysis of comparison populations. They revealed a higher rate of coronary artery disease and heart failure prior to drug initiation among the amiodorone versus the calcium channel blocker population and a higher rate of post-drug initiation acquired hypothyroidism and pulmonary disease among the amiodorone population. Conclusions: Claims databases contain health care information on millions of patients in the United States. The strengths of Libra tool is that it allows a substantial portion of the research exploration, hypothesis generation; and statistical analysis to be performed in real-time using a web-based interface leveraging a large multi-payer database.
Learning Areas:
Conduct evaluation related to programs, research, and other areas of practicePublic health or related research Learning Objectives: Keywords: Information Technology, Information Databases
Presenting author's disclosure statement:
Qualified on the content I am responsible for because: I was the director of the project that developed the tool and the multi-payer database I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.
See more of: Health IT for Comparative Effectiveness Research (CER)
See more of: Health Informatics Information Technology |