This project focused on developing a stable, feasible approach to enable secure distributed linear, logistic, and Cox regression analysis within a distributed data network while not requiring sharing of any patient-level datasets from the participating data partners.
An individually randomized trial of a patient and provider level educational intervention to increase anticoagulant use among untreated members with atrial fibrillation and increased risk of stroke.
The purpose of this Request for Proposal (RFP) is to solicit proposals and quotes from candidate organizations to provide design, development, and potential ongoing maintenance as needed for the Sentinel Routine Querying Tool Graphical User Interface (GUI) web application. The application is needed to allow users to interact with a GUI to “design” their own postmarket pharmaceutical surveillance studies, which can then be translated into arguments that will be used in existing SAS-based analytic tools that are part of the existing Sentinel infrastructure.
The purpose of this activity was to develop a White Paper that addresses the suitability of using Sentinel to estimate vaccine effectiveness.
The Sentinel Operations Center (SOC) has transformed the Medicare Claims Synthetic Public Use Files (SynPUFs) into the Sentinel Common Data Model (SCDM) format as part of an ongoing effort to make Sentinel resources available to external investigators, with the goal of creating a community of investigators who can understand, utilize, and contribute to the Sentinel enterprise.
Sentinel routine querying tools are SAS programs designed to run against the Sentinel Common Data Model (SCDM). They allow rapid implementation of standard queries across the Sentinel Distributed Database (SDD). The programs can be customized using various input parameters that define medical product exposures, outcomes, covariates, diagnoses, date ranges, age ranges, and other implementation details. Tools can perform simple cohort characterization and descriptive analyses, but may also be used to perform more complex adjustment for confounding and support prospective surveillance activities.
The Cohort Identification and Descriptive Analysis (CIDA) program is the foundation of the routine querying system. CIDA is responsible for identifying, extracting, and characterizing cohorts of interest from the SDD based on the specification of a number of requester-defined options (e.g., continuous enrollment requirements, incidence criteria, inclusion/exclusion criteria).
The Sentinel Data Quality Review and Characterization Programs are used by the Sentinel Operations Center (SOC) for data quality review and characterization of the Sentinel Distributed Database (SDD). To create the SDD, each Data Partner transformed local source data into the Sentinel Common Data Model (SCDM) format. The SOC created a set of data quality review and characterization programs to ensure that the SDD meets reasonable standards for data transformation consistency and quality and that the SDD data meets expectations needed for a distributed health data network.
The Sentinel Operations Center (SOC) coordinates the network of Sentinel Data Partners and leads development of the Sentinel Common Data Model (SCDM), a standard data structure that allows Data Partners to quickly execute distributed programs against local data.