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U.S. Department of Health & Human Services
Summary
Charts
Complete List of Activities
Type Of Collaboration
Committee, Advisory Group, or Work Group
Health Survey
Meeting/Workshop
Public Education Campaign
Research Initiative
Resource Development
Training Initiative
Other
Agency Collaborations
Administration for Children and Families (ACF)
Administration for Community Living (ACL)
Agency for Healthcare Research and Quality (AHRQ)
Agency for Toxic Substances and Disease Registry (ATSDR)
Centers for Disease Control and Prevention (CDC)
Centers for Medicare & Medicaid Services (CMS)
Food and Drug Administration (FDA)
Health Resources and Services Administration (HRSA)
Indian Health Service (IHS)
Office of the Secretary (OS)
Substance Abuse and Mental Health Services Administration (SAMHSA)
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Collaboration
Title
Collaboration
Type
HHS Participating Agencies
NIH Participating Institutes/Centers/ Office of the Director
Year Collaboration Originated
Details
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Maternal Health Working Group
Committee, Advisory Group, or Work Group
ACF, ACL, AHRQ, CDC, CMS, FDA, HRSA, IHS, OS, SAMHSA
NHLBI, NICHD, NIMHD, OD/ DPCPSI/ ORWH
2019
Funding levels reported in the Fiscal Year 2020 Intra-Agency Collaborations Reporting System (CRS) may not be consistent with funding levels reported under the Estimates of Funding for Various Research, Condition, and Disease Categories (RCDC) at the NIH Office of Budget Website at
https://report.nih.gov/categorical_spending.aspx
. The current process, implemented in 2008 through the Research, Condition, and Disease Categorization (RCDC) system, uses sophisticated text data mining (categorizing and clustering using words and multiword phrases) in conjunction with NIH-wide definitions used to match projects to categories. RCDC use of data mining improves consistency and eliminates the wide variability in defining the research categories reported. The definitions are a list of terms and concepts selected by NIH scientific experts to define a research category. The research category levels represent the NIH’s best estimates based on the category definitions.
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