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Short Courses Promoting Cross-National Analyses Using Data from the International Health and Retirement Study (HRS) and Harmonized Cognitive Assessment Protocol (HCAP) (R25 Clinical Trial Not Allowed)

Sector: Hospital • Location: United States of America

Source: Grants.gov

Project
Closed

The goal of this NOFO is to support short courses designed to increase utilization of the cognitive data from the HRS International Family of Studies (International HRS) and Harmonized Cognitive Assessment Protocol (HCAP) to improve skills in conducting cross-national comparative research using these cognitive data to study a variety of aging and Alzheimers disease and Alzheimers disease-related d

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The project “Short Courses Promoting Cross-National Analyses Using Data from the International Health and Retirement Study (HRS) and Harmonized Cognitive Assessment Protocol (HCAP) (R25 Clinical Trial Not Allowed)” is an infrastructure initiative in the Hospital sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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closed

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Description

Description

The goal of this NOFO is to support short courses designed to increase utilization of the cognitive data from the HRS International Family of Studies (International HRS) and Harmonized Cognitive Assessment Protocol (HCAP) to improve skills in conducting cross-national comparative research using these cognitive data to study a variety of aging and Alzheimers disease and Alzheimers disease-related dementias (AD/ADRD) topics. Priority areas of focus include but are not limited to behavioral and social pathways to AD/ADRD, cognitive and dementia epidemiology, dementia care, caregiver/care partner research, unexpected environmental or economic shocks to the system, factors that are protective of AD and ADRD at the individual-level and statistical methods. This type of research will further our understanding of different contexts can lead to different outcomes related to AD/ADRD. This information can inform interventions and policies in the United States and globally to improve population health.

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High

Data quality score

100%

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