The Satcher Health Leadership Institute (SHLI) at Morehouse School of Medicine (MSM) proposes to lead a Health Policy Transdisciplinary Collaborative Center (TCC) for Health Disparities Research, with the unifying theme of a comprehensive and meaningful approach to the development, advancement, and implementation of health policy that harnesses the power of collaboration to bolster innovation, cost reduction, and health equity. The SHLI TCC proposes transfonnative health policy goals that will positively impact and sustain health equity across our regional transdisciplinary collaborative, with the ultimate goal of the SHLI emerging as the preeminent, national health policy center focused on innovation, cost reduction and health equity; emerging as the 'collaborator of choice' in leading-edge health policy research focused on health equity; train the next generation of leaders in health policy research and expand the diversity of the health policy workforce. SHLI TCC and its partners across HHS Region IV, will significantly impact the health outcomes of participating communities through policy development and implementation.

Agency
National Institute of Health (NIH)
Institute
National Institute on Minority Health and Health Disparities (NIMHD)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54MD008173-04
Application #
8896329
Study Section
Special Emphasis Panel (ZMD1-RN (09))
Program Officer
Sayre, Michael
Project Start
2012-09-26
Project End
2017-07-31
Budget Start
2015-08-01
Budget End
2016-07-31
Support Year
4
Fiscal Year
2015
Total Cost
$3,000,000
Indirect Cost
$860,619
Name
Morehouse School of Medicine
Department
Type
Schools of Medicine
DUNS #
102005451
City
Atlanta
State
GA
Country
United States
Zip Code
30310
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Jin, Seok Won; Lee, Jongwook; Yun Lee, Hee (2018) Analyzing factors associated with decisional stage of adopting breast cancer screening among Korean American women using precaution adoption process model. Ethn Health :1-17
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Douglas, Megan Daugherty; Xu, Junjun; Heggs, Akilah et al. (2017) Assessing Telemedicine Utilization by Using Medicaid Claims Data. Psychiatr Serv 68:173-178

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