Use of electronic health information to assess the incidence of type 1 and type 2 diabetes in the U.S.
The Centers for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), intends to award a sole source contract to the University of Michigan, 016-422 W NCRC, Ann Arbor, M5 48109-2800 to use the Clinoformatics Data Mart Database (OptumInsight) to assess the incidence of type 1 and type 2 diabetes in the U.S. This database has insurance data from all 50 states and includes patient encounters (clinic visit, emergency room visits, hospitalizations), pharmacy data and laboratory information on over 61,796,000 individuals from January 2001 to December 2016.
The statutory authority for this sole source acquisition is 10 U.S.C 2304(c)(1) in accordance with FAR Part 6.302-1- only one responsible source and no other supplies or services will satisfy the agency requirement. The NAICS code for this procurement is 611310, Colleges, Universities, and Professional Schools. The period of performance for this procurement is 12 months.
A recent study by Rogers et al. estimated the incidence of T1D for all ages using a large electronic health information database (OptumInsight). This research demonstrated the feasibility of using this data source for incidence estimates of type 1 diabetes. The estimates for incidence of T1D among children and adolescents were similar to those found in the CDC's SEARCH for Diabetes in Youth Study, providing support for this method of surveillance. This resource includes all 50 states, potentially providing state based or regional estimates T1D incidence. It is also important to track the incidence of T2D. However, the incidence of T2D using this resources is not available in published results. Published results of T2D will support CDC's national diabetes surveillance efforts to monitor the incidence of T2D for all age groups, by sex and race/ethnicity.
Researchers at the University of Michigan have experience in use of large electronic health databases for surveillance of type 1 diabetes and are uniquely qualified to perform this analysis This includes application of validated algorithms and identified type 1 diabetes cases. Since type 1 diabetes cases are previously identified, additional analyses to estimate the incidence by state and race/ethnicity can be completed more economically. Further, this also enables faster and more economical identification of type 2 diabetes cases. In addition, the researchers at University of Michigan have developed methods to estimate incidence within insured population and model estimates of incidence for the U.S. population as a whole. The purpose of this contract is to use a large electronic health information database to assess the incidence of type 1 and type 2 diabetes in the U.S. This data base should include insurance data from all 50 states and include patient encounters (clinic visit, emergency room visits, hospitalizations), pharmacy data and laboratory information on over 60,000,000 individuals from January 2001 to December 2015. The Principal Investigator has shown considerable experience and expertise working with the OptumInsight electronic health information database, an electronic health information database available for researchers to use at the University of Michigan.
The University of Michigan is uniquely able to meet the objectives for this contract based on previous work and experience. In 2017, researchers at the University of Michigan used data from OptimInsight (Clinmatics) data to produce estimates for the incidence of type 1 diabetes in the United States for ages 0 to 65 year old. The researchers also used combined information from the OptimInsight data with U.S. Census based population estimates to produce incidence of type 1 diabetes for the U.S. overall and by Census regions. This project builds upon this work and expands the surveillance of incidence both type 1 and type 2 diabetes in the U.S. The researchers at the University of Michigan already have access to the data and can rapidly implement the analyses needed to achieve the project objectives. The Principal Investigator has a strong history of using large electronic health information databases for epidemiologic research and surveillance. This experience is needed given the relatively short time line of one year for the project.
The MarketScan® administrative database licensed by Truven Health Analytics was also considered for this project. While it is a large database of commercial inpatient, outpatient, and pharmacy claims data from approximately 100 payers representing large employers, health plans, and government and public organizations, state coverage varies in the MarketScan data. State specific estimates are likely not possible.
This contract involves the use of the data source to assess the incidence of type 1 and type 2 diabetes in the U.S. for ages 0 to 65 years. This builds on previous analysis by the Principal Investigator that estimated the incidence of type 1 diabetes by 5 year age groups, by sex, by U.S. region and by season. This contract will assess the incidence of type 1 diabetes by state and race/ethnicity and the incidence of type 2 diabetes by age, sex and race/ethnicity.
As a result of this synopsis, no competitive solicitation will be posted on FedBizOpps. We will issue only one solicitation to the University of Michigan. However, all responsible sources that believe they can meet these requirements may submit their capabilities/qualifications statement to provide the services to Leslie Jones via email ONLY at jxy6@cdc.gov with the solicitation number 18-Q-68547 referenced in the subject line NO LATER THAN June 30, 2018.
A determination by the Government not to compete this proposed action will be based on responses to this notice and are solely within the discretion of the Contracting Officer. Information received will be considered solely for the purpose of determining whether to conduct a competitive procurement
Leslie D. Jones, Phone 7704882042, Email jxy6@cdc.gov
