The US child population is rapidly becoming more racially and ethnically diverse, yet there are persistent racial/ethnic gaps in child health. Improving and expanding policies to reduce these gaps is increasingly a mandate of government agencies. Identifying effective policies requires a rigorous approach, yet there is a lack of information about which policies improve equity. This article introduces the Policy Equity Assessment, a framework that combines policy assessment and rigorous equity methods to both synthesize existing research and identify and conduct new analyses of policies' ability to reduce racial/ethnic inequities. We applied the Policy Equity Assessment to three policies: Head Start, the Family and Medical Leave Act, and a federal housing assistance program known as Section 8. Our results show racial/ethnic inequities in access to benefits and substantial data and evidence gaps regarding the impact of policies in improving racial/ethnic equity. These results should motivate policy makers to strengthen equity analysis.
This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 September 2021.
All research outputs
#2,810,943
of 29,606,669 outputs
Outputs from Health Affairs
#3,517
of 6,890 outputs
Outputs of similar age
#33,495
of 383,635 outputs
Outputs of similar age from Health Affairs
#52
of 80 outputs
Altmetric has tracked 29,606,669 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,890 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 69.5. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 383,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
