WORKSHOP 2023
The 2023 Workshop on how existing data resources paired with innovative applications of both novel and well-known methodologies can be used to identify valid and replicable population health trends and effects was focused on multi-level societal, community, and individual determinants of health disparities in AD/ADRD. The majority of the recommendations have been integrated into a review of the current state-of-the art in race/ethnicity-related, sex-related, and geographic disparities in the risk and survival of AD/ADRD and approaches (including forecasting approaches) for leveraging existing data and analytic methods for analyzing these health disparities published in Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring.
AGENDA: MARCH 15, 2023
AGENDA: MARCH 16, 2023
SPEAKERS 2023
WORKSHOP 2022
This Workshop extends the 2021 Workshop focus by including the analysis of clinical datasets routinely collected in Medical centers and demonstrating how new and established analytic methods can be rigorously applied to such data to contribute to identifying some of the causes of persistent health disparities between specific groups of the U.S. population and narrowly defined patient strata. Analyses of such increasingly available large health datasets provide an opportunity to obtain nationally representative race/ethnicity-related and geography/area-specific results based on individual-level measures that reflect the real care-related and epidemiological processes ongoing in the U.S. healthcare system.
AGENDA: MARCH 7, 2022
AGENDA: MARCH 8, 2022
SPEAKERS 2022
WORKSHOP 2021
March 8, 2021 workshop was focused on analysis of population data and demonstrating how studies using established administrative data resources such as Medicare claims databases combined with complex well-established and innovative analytic approaches (such as partitioning analyses, time-series based methods of projection and forecasting, and stochastic process models) can be used to uncover previously overlooked or understudied aspects in this area of research.
March 9, 2021 workshop extended the focus to include the analysis of clinical datasets routinely collected in Medical centers and demonstrate how new and established analytic methods can be rigorously applied to such data to contribute to identifying some of the causes of persistent health disparities between specific groups of the U.S. population and narrowly defined patient strata. Analyses of such increasingly available large health datasets provide an opportunity to obtain nationally representative race/ethnicity-related and geography/area-specific results based on individual-level measures that reflect the real care-related and epidemiological processes ongoing in the U.S. healthcare system.
