Evidence map›Paper›PMID 28090401›Full record

ArticleHawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health2017

Insights in Public Health: Challenges Investigating Health Outcomes in Chinese Americans Using Population-Based Survey Data.

Michelle Tong, Tetine Sentell

Open access · greenAbstract read
In one paragraph

Article in Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health, 2017. 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
3.9field-weighted citation impact, top 6% of its field
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, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Equity in the Access of Chinese Immigrants to Healthcare Services in Portugal.International journal of environmental research and public health · 2023
    Article
  4. Exploring Health Literacy and the Correlates of Pap Testing Among African Immigrant Women: Findings from the AfroPap Study.Journal of cancer education : the official journal of the American Association for Cancer Education · 2021
    Article
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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 at 1 institution in 1 country.

Michelle TongOffice of Public Health Studies, University of Hawai'i at Manoa, Honolulu, HI.
Tetine SentellOffice of Public Health Studies, University of Hawai'i at Manoa, Honolulu, HI.
University of Hawaiʻi at Mānoa · US

Funding

RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MOKUAU, NOREEN, SHIRAMIZU, BRUCE T · 2012 to 2018
$21.1M
NIMHD NIH HHS U54 MD007584
6 · The paper itself

Abstract

Chinese Americans constitute the largest percentage of Asian Americans. In Hawai'i, Chinese Americans make up approximately 4.7% of the total state population. Accurately assessing health disparities across specific Asian American subgroups is critically important to health research and policy, as there is often substantial variability in risk and outcomes. However, even for Chinese Americans, the largest of the Asian American subgroups, such analyses can present challenges in population-based surveys. This article considers these challenges generally and then specifically in terms of the issue of health literacy and heart disease in Chinese Americans using existing population-based survey data sets in the United States, California, and Hawai'i.

Indexed as

Outcome Assessment, Health CareAsianCommunication BarriersFemaleHawaiiHealth LiteracyHealth SurveysHumansMalePublic HealthRisk FactorsChinese Americanshealth literacylimited English proficiency

Identifiers

PMID28090401
PMCPMC5226019
OpenAlexW2912996317

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.