The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a distributed network that leverages electronic health record (EHR) data to generate timely prevalence estimates of chronic disease measures at national and local levels.
MENDS has several data tools available to authenticated data users that provide local chronic disease estimates using validated algorithms. Data users are also able to submit custom local queries through an open-source interface called PopMedNet to obtain additional chronic disease measures for specific locations or time periods of interest.
The National Association of Chronic Disease Directors (NACDD) is building capacity to provide data user support for developing custom local queries. We created this repository of validated queries and information for data users to reference when developing their own custom queries.
Several GitHub repositories related to MENDS provide documentation, tools, and code for processing and analyzing chronic disease surveillance data.
This repository managed by Health Data Compass, a MENDS data contributor, implements a demo version of the OMOP to FHIR pipeline described in the open access JAMIA Open publication. (Python)
This repository managed by NORC at the University of Chicago documents processing and analytic steps for producing weighted chronic disease estimates in MENDS. NORC (the weighting and estimation vendor supporting MENDS) releases annotated code files at various geographic levels (national, state, county, ZIP code) for priority MENDS indicators (e.g., hypertension). The repository will evolve to align with weighting and modeling methodology updates for MENDS. (SAS)
If you have questions or need support, please contact us at: mends@chronicdisease.org