Evidence map›Paper›PMID 37096622›Full record

ArticleThe Milbank quarterly2023

Making Communities More Visible: Equity-Centered Data to Achieve Health Equity.

Ninez A Ponce, Riti Shimkhada, Paris B Adkins-Jackson

Abstract read
In one paragraph

Article in The Milbank quarterly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Data Disaggregation in Action: Filipino Americans Who Do Not Identify As Asian.Journal of racial and ethnic health disparities · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ninez A PonceCenter for Health Policy Research, University of California, Los Angeles.
Riti ShimkhadaCenter for Health Policy Research, University of California, Los Angeles.
Paris B Adkins-JacksonMailman School of Public Health, Columbia University.

Funding

UCSD Leading the Advancement of Underrepresented Neuroscientists for Change (LAUNCH) Faculty Development ProgramR25NS117367 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Victoria B Risbrough, Joann Trejo · 2020 to 2026
$1.6M
NINDS NIH HHS R25 NS117367
6 · The paper itself

Abstract

Policy Points Despite decades of research exposing health disparities between populations and communities in the US, health equity goals remain largely unfulfilled. We argue these failures call for applying an equity lens in the way we approach data systems, from collection and analysis to interpretation and distribution. Hence, health equity requires data equity. There is notable federal interest in policy changes and federal investments to improve health equity. With this, we outline the opportunities to align these health equity goals with data equity by improving the way communities are engaged and how population data are collected, analyzed, interpreted, made accessible, and distributed. Policy priority areas for data equity include increasing the use of disaggregated data, increasing the use of currently underused federal data, building capacity for equity assessments, developing partnerships between government and community, and increasing data accountability to the public.

Indexed as

Health EquityHumanscommunity engagementdata disaggregationhealth equity

Identifiers

PMID37096622
PMCPMC10126976

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.