Evidence map›Paper›PMID 37901675›Full record

ReviewHawai'i journal of health & social welfare2023

The Hawai'i NHPI Data Disaggregation Imperative: Preventing Data Genocide Through Statewide Race and Ethnicity Standards.

Joshua Quint, Chantelle Matagi, Joseph Keawe'aimoku Kaholokula

Abstract readReview
In one paragraph

Review in Hawai'i journal of health & social welfare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Disparities in 2020 Life Expectancy by Race and Ethnicity in Hawai'i.Hawai'i journal of health & social welfare · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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.

Joshua QuintPapa Ola Lōkahi, Honolulu, HI (JQ).
Chantelle MatagiCenter for Pacific Island Studies, University of Hawai'i at Mānoa, Honolulu, HI (CM).
Joseph Keawe'aimoku KaholokulaDepartment of Native Hawaiian Health, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI (JKK).

Funding

Tracking and Evaluation CoreU54GM138062 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI SY, ANGELA U · 2021 to 2025
$15.5M
NIGMS NIH HHS U54 GM138062
6 · The paper itself

Abstract

Federal race and ethnicity data standards are commonly applied within the state of Hawai'i. When a multiracial category is used, Native Hawaiians are disproportionately affected since they are more likely than any other group to identify with an additional race or ethnicity group. These data conventions contribute to a phenomenon known as data genocide - the systematic erasure of Indigenous and marginalized peoples from population data. While data aggregation may be unintentional or due to real or perceived barriers, the obstacles to disaggregating data must be overcome to advance health equity. In this call for greater attention to relevant social determinants of health through disaggregation of race and ethnicity data, the history of data standards is reviewed, the implications of aggregation are discussed, and recommended disaggregation strategies are provided.

Indexed as

EthnicityHealth Disparate Minority and Vulnerable PopulationsHealth Status DisparitiesNative Hawaiian or Pacific IslanderRacial GroupsData AnalysisHawaiiHealth EquityHumansSocial Determinants of Healthdata disaggregationdata genocidedata standardsindigenous healthmultiracialNative HawaiianPacific Islanderrace and ethnicity

Identifiers

PMID37901675
PMCPMC10612414

What OpenQuestion holds

Textmetadata
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.