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Utilizing mixed methods to understand social determinants of successful disease management among populations with comorbid cardiometabolic syndrome and anxiety disorder

Award Number: K01MD018415
ORGANIZATION: NATIONAL CENTER ON MINORITY HEALTH AND HEALTH DISPARITIES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP
PERIOD OF PERFORMANCE START DATE: 09/24/2023
PERIOD OF PERFORMANCE END DATE: 04/30/2028

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Utilizing mixed methods to understand social determinants of successful disease management among populations with comorbid cardiometabolic syndrome and anxiety disorder - ABSTRACT Cardiometabolic and mental health conditions are highly prevalent and complicate management of each other when they co-occur, leading to greater healthcare costs. Such multi-comorbidity becomes even more challenging when it intersects with community health and other determinants of health culminating in amplified risk of adverse outcomes. Successful disease management that works at the intersection of the individual and the community must be implemented to mitigate disparities and optimal treatment must address aspects of both cardiometabolic and mental health disorders in a culturally relevant intervention. Evidence based interventions have not been demonstrated to be relevant for resource deficit populations. The community perspective is likely missing in the overall care management of comorbid conditions. Scientific study must include all populations both in the collection of data and also in the identification of community identified variables important in successful management of comorbid conditions. Subsequently, positioning these variables in community-generated conceptual models and then testable computer models will help to identify and highlight key points for development of culturally relevant intervention strategies. The candidate proposes a parallel, integrated dynamic process of understanding community perspectives, analyzing risk factors and determinants, and building and testing computer models that explain disparities and predict outcomes. Connecting the dots between epidemiologic research and computer modeling through systems science in a community based participatory framework will allow for the development of accurate replicable models of health disparities that are co-built by community voices and population scientists.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $130,348 )
2025	2025	FLORIDA STATE UNIVERSITY	874 TRADITIONS WAY	TALLAHASSEE	FL	32306	LEON	USA	Minority Health and Health Disparities Research	000	3	8/17/2025	NON-COMPETING CONTINUATION	$130,348
														Subtotal = $130,348

Issue Date FY: 2024 ( Subtotal = $130,645 )
2024	2024	FLORIDA STATE UNIVERSITY	874 TRADITIONS WAY	TALLAHASSEE	FL	32306	LEON	USA	Minority Health and Health Disparities Research	001	2	5/14/2024	NON-COMPETING CONTINUATION	$130,645
2024	2023	FLORIDA STATE UNIVERSITY	874 TRADITIONS WAY	TALLAHASSEE	FL	32306	LEON	USA	Minority Health and Health Disparities Research	000	1	4/30/2024	NEW	$0
														Subtotal = $130,645

Issue Date FY: 2023 ( Subtotal = $130,161 )
2023	2023	FLORIDA STATE UNIVERSITY	874 TRADITIONS WAY	TALLAHASSEE	FL	32306	LEON	USA	Minority Health and Health Disparities Research	000	1	9/24/2023	NEW	$130,161
2023	2023	FLORIDA STATE UNIVERSITY	874 TRADITIONS WAY	TALLAHASSEE	FL	32306	LEON	USA	Minority Health and Health Disparities Research	001	1	9/29/2023	NEW	$0
														Subtotal = $130,161

Grand Total All Awards = $391,154

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Utilizing mixed methods to understand social determinants of successful disease management among populations with comorbid cardiometabolic syndrome and anxiety disorder

Award Number: K01MD018415

ORGANIZATION: NATIONAL CENTER ON MINORITY HEALTH AND HEALTH DISPARITIES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP

PERIOD OF PERFORMANCE START DATE: 09/24/2023

PERIOD OF PERFORMANCE END DATE: 04/30/2028

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