Resources

StARS Center Data Resources

A StARS Center goal is to support projects building shareable, sustainable data resources through its Dementia Care Innovation Grant (DCIG) funding opportunity. Our faculty have expertise with many datasets that may be used to evaluate dementia care programs as part of a DCIG proposal. The following list provides examples of datasets you might consider for generating proposal ideas. 

External Resources

NIA Data LINKAGE Program (LINKAGE)

The purpose of the NIA Data LINKAGE Program is to link NIA-funded study data with existing datasets from Centers for Medicare & Medicaid Services (CMS) and other sources and establish a cloud-based environment to support data accessibility and sharing. In providing these resources free of charge, LINKAGE aims to reduce resource cost and time barriers and promote access for researchers.  

Long-Term Care Data Cooperative

The LTC Data Cooperative is a novel data resource that assembles skilled nursing facilities & assisted living communities electronic health record (EHR) data. This long-term care provider-led effort, funded by the National Institute on Aging (NIA), serves four key purposes: (1) healthcare operations/population health analytics; (2) public health surveillance; (3) observational, comparative effectiveness research; and (4) clinical research studies.

Minnesota EHR Consortium

The MN EHR Consortium is a partnership between health systems and public health agencies working to provide comprehensive data to inform the real-time, changing needs of decision makers. The mission of the MN EHR Consortium is to improve health through data-driven collaboration among members of Minnesota's health care community.

Learning Resources

The Characteristics of Sites Delivering the Guiding an Improved Dementia Experience (GUIDE) Model

This study examined how healthcare organizations participating in the Centers for Medicare & Medicaid Services’ Guiding an Improved Dementia Experience (GUIDE) Model present their services from a consumer perspective.