IDEAL: A Community-Academic-Governmental Collaboration Toward Improving Evidence-Based Data Collection on Race and Ethnicity
Prev Chronic Dis
.
2023 Oct 12:20:E90.
doi: 10.5888/pcd20.230029.
Authors
Farah Kader
1
2
,
Lan N Ðoàn
1
,
Matthew K Chin
1
,
Maya Scherer
3
,
Luisa Cárdenas
3
,
Lloyd Feng
4
,
Vanessa Leung
4
,
Anita Gundanna
4
,
Matthew Lee
1
,
Rienna Russo
1
,
Olugbenga G Ogedegbe
1
,
Iyanrick John
5
,
Ilseung Cho
6
,
Simona C Kwon
1
,
Stella S Yi
1
Affiliations
1
Department of Population Health, New York University Grossman School of Medicine, New York, New York.
2
Department of Population Health, NYU Langone Health, 180 Madison Ave, Floor 8, New York, NY 10016 (farah.kader@nyulangone.org).
3
Center for Evaluation and Applied Research, The New York Academy of Medicine, New York, New York.
4
Coalition for Asian American Children and Families, New York, New York.
5
ChangeLab Solutions, Oakland, California.
6
Department of Medicine, New York University Grossman School of Medicine, New York, New York.
PMID:
37824700
PMCID:
PMC10599325
DOI:
10.5888/pcd20.230029
No abstract available
Publication types
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, U.S. Gov't, P.H.S.
Research Support, N.I.H., Extramural
MeSH terms
Data Collection
Ethnicity*
Humans
Racial Groups*
Grants and funding
UL1 TR001445/TR/NCATS NIH HHS/United States
U54 MD000538/MD/NIMHD NIH HHS/United States
P30 DK111022/DK/NIDDK NIH HHS/United States
R01 HL141427/HL/NHLBI NIH HHS/United States
OT2 HL156812/HL/NHLBI NIH HHS/United States