Evidence map›Paper›PMID 34791615›Full record

ReviewJournal of racial and ethnic health disparities2022

Advancing Health Disparities Research: The Need to Include Asian American Subgroup Populations.

Stephanie Yom, Maichou Lor

Abstract readReview
In one paragraph

Review in Journal of racial and ethnic health disparities, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

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

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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

2 authors.

Stephanie Yom, Los Angeles, CA, USA.
Maichou LorUniversity of Wisconsin - Madison, Madison, WI, USA. mlor2@wisc.edu.ORCID 0000-0001-8451-4364

Funding

Information Visualization to Improve Pain Communication Between Providers, Interpreters, and Patients with Limited English ProficiencyK23NR019289 · NINR · UNIVERSITY OF WISCONSIN-MADISON · PI LOR, MAICHOU · 2020 to 2022
$480k
NINR NIH HHS K23 NR019289NINR NIH HHS K23NR019289
6 · The paper itself

Abstract

backgroundDespite recognition that the health outcomes of Asian American subgroups are heterogeneous, research has mainly focused on the six largest subgroups. There is limited knowledge of smaller subgroups and their health outcomes. This scoping review identifies trends in the health outcomes, reveals those which are under-researched, and provide recommendations on data collection with 24 Asian American subgroups.

methodsOur literature search of peer-reviewed English language primary source articles published between 1991 and 2018 was conducted across six databases (Embase, PubMed, Web of Sciences, CINAHL, PsychINFO, Academic Search Complete) and Google Scholar, yielding 3844 articles. After duplicate removal, we independently screened 3413 studies to determine whether they met inclusion criteria. Seventy-six studies were identified for inclusion in this review. Data were extracted on study characteristics, content, and findings.

findingsSeventy-six studies met the inclusion criteria. The most represented subgroups were Chinese (n = 74), Japanese (n = 60), and Filipino (n = 60), while Indonesian (n = 1), Malaysian (n = 1), and Burmese (n = 1) were included in only one or two studies. Several Asian American subgroups listed in the 2010 U.S. Census were not represented in any of the studies. Overall, the most studied health conditions were cancer (n = 29), diabetes (n = 13), maternal and infant health (n = 10), and cardiovascular disease (n = 9). Studies showed that health outcomes varied greatly across subgroups.

conclusionsMore research is required to focus on smaller-sized subgroup populations to obtain accurate results and address health disparities for all groups.

Indexed as

AsianCardiovascular DiseasesData CollectionHealthcare DisparitiesHealth Services ResearchHealth Status DisparitiesHumansAsian AmericanData disaggregationHealthHealth equitySubgroups

Identifiers

PMID34791615
PMCPMC8598103

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.