Reviewing Data Disaggregation in Aging Health Research
Author Information
Author(s): Cajavilca Moroni Fernandez, Lee Matthew, Doan Lan
Primary Institution: New York University
Hypothesis
Data disaggregation offers a promising approach to advancing data equity in aging research.
Conclusion
The study found that only 12 NIH-funded awards focused on disaggregating race and ethnicity data in aging research, highlighting a significant gap in this area.
Supporting Evidence
- Only 12 NIH-funded awards focused on disaggregating race and ethnicity data in aging research.
- Most grants mentioning data disaggregation were awarded from 2015 onwards.
- Proposed data disaggregation included Latino, Hispanic, Asian, Pacific Islander, and Arab ethnic groups.
Takeaway
The research shows that not enough studies are looking at different races and ethnicities in aging health research, which is important for fairness.
Methodology
The study reviewed the NIH RePORTER database to identify NIA grants proposing data disaggregation from 1985 to 2024.
Potential Biases
The grouping of diverse individuals into broad categories may lead to biased outcomes in health research.
Limitations
The limited number of grants focusing on data disaggregation indicates a lack of attention to this important issue.
Participant Demographics
Racially and ethnically diverse older adults.
Digital Object Identifier (DOI)
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