Claims research and reverse translation
Claims research provides one of our most effective means of understanding the ways we use our health care system and how system is or is not improving our health.
Dartmouth's CTPR team provides knowledgeable technical and analytic support to allow investigators and others to generate reports and build their own databases from Medicare claims data and other large-scale data sources.
Reverse translation uses insights found through analyzing population-based claims data to develop hypotheses about new interventions or new treatment protocols that can be tested in clinical trials. This kind of research finds trends across large data sets and can identify otherwise missed health events—for example, drug-drug interactions that worsen health outcomes in groups with certain conditions. Our Reverse Translation Claims Research team seeks to bring together a diverse community of clinical and basic science investigators to formulate and address critical questions about the effectiveness of clinical treatments and health care systems by using population data on patient outcomes to inform clinical science.
Our Crowd-Sourcing Project
Our crowd-sourcing project CTPR is proud home to a translational research crowd-sourcing project. We are hoping this project will engage our visitors and fellow consortium members to collectively generate ideas for "reverse translation" that will ultimately be tested on our data and then in controlled clinical interventions. Please visit our Crowd-Sourcing page to see our progress and questions that have already been submitted.
Our data and other center resources
Dartmouth is a leading center for the study of population-based health care utilization and outcomes and is the home of the Dartmouth Atlas of Health Care project. Our data core provides a remarkable platform for conducting new and innovative research to understand the United States health care system. We rely on a foundation of a large repository of national Medicare fee-for-service claims and national Medicaid claims and a team of highly skilled programmers and analysts who know how to use these data. Many of our research projects enrich Medicare or Medicaid claims with registry or survey data.
The Dartmouth Atlas provides reports and publications, and interactive tools to view region specific data and perform comparisons and analysis of the United States health care system using Medicare claims data. These raw claims datasets are obtained from CMS on an annual basis, then processed and analyzed to develop aggregated datasets, which contain specific measures across national, regional, and local markets.
Atlas Rate Generator
A common barrier to streamlined research is the investigator's ability to navigate the DUA process and run preliminary data analyses during the research and grant development phase to avoid expensive and time-consuming costs associated with applying for and building individual databases. Additionally, media and policy-makers frequently request specific population health data at the geographic level that we are unable to provide.
Claims Research Consultation
To address the needs and enhance the productivity of clinical and translational science investigators, our Center provides multiple levels of research consultation. Our consultants provide research assistance on using the extensive Medicare database and developing an analytic memorandum that effectively describes the project aims and specifies needed data. This service also connects investigators to guidance from our network of experts for the development of comparative effectiveness studies using Medicare data and linked data.