Evidence map›Paper›PMID 25880870›Full record

ArticleBMC infectious diseases2015

Hepatitis B screening among Chinese Americans: a structural equation modeling analysis.

Grace X Ma, Guo Yolanda Zhang, Shumenghui Zhai, Xiang Ma, Yin Tan, Steven E Shive, Min Qi Wang

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Grace X MaDepartment of Public Health, Director of Center for Asian Health, College of Public Health, 1301 Cecil B Moore Ave. Ritter Annex, Rm 913, Philadelphia, PA, 19122, USA. grace.ma@temple.edu.
Guo Yolanda ZhangCenter for Asian Health and College of Public Health, Temple University, Philadelphia, PA, 19122, USA. yolanda.zhang1868@gmail.co.
Shumenghui ZhaiCenter for Asian Health and College of Public Health, Temple University, Philadelphia, PA, 19122, USA. tue85115@temple.edu.
Xiang MaCenter for Asian Health and College of Public Health, Temple University, Philadelphia, PA, 19122, USA. shawnma@temple.edu.
Yin TanCenter for Asian Health and College of Public Health, Temple University, Philadelphia, PA, 19122, USA. ytan@temple.edu.
Steven E ShiveDepartment of Health, Research Associate, Center for Asian Health, Temple University; and East Stroudsburg University, DeNike Hall, 200 Prospect St., East Stroudsburg University, East Stroudsburg, PA, 18301-2999, USA. sshive@po-box.esu.edu.
Min Qi WangDepartment of Public and Community Health, University of Maryland, College Park, Maryland, USA. mqw@umd.edu.
Temple University · USEast Stroudsburg University · USUniversity of Maryland, College Park · US

Funding

Training ProgramU54CA153513 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI MA, GRACE X. · 2010 to 2015
$5.2M
Feasibility Study of Culturally Tailored Smoking Cessation Chinese Smokers in NYCU01CA114582 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI MA, GRACE X. · 2005 to 2009
$4.5M
NCI NIH HHS U01 CA114582NCI NIH HHS U54 CA153513NCI NIH HHS U54CA153513
6 · The paper itself

Abstract

backgroundHepatitis B Virus (HBV) disproportionately affects new immigrants from endemic regions such as China. Untreated infections increase health risks for liver diseases including cancer. Yet most of those infected are unaware of their disease limiting prevention and early treatment options. The purpose of this community based study was to evaluate a heuristic model identifying factors contributing to Hepatitis B (HBV) screening among Chinese Americans.

methodsA cross-sectional design included a sample of 924 Chinese men and women 18 years of age and older of which 718 had complete data for final analysis. Confirmatory factor analysis verified conceptual indicators including access/satisfaction with health care and enabling, predisposing, cultural, and health belief factors. Structural equation modeling was used to identify direct and indirect predictors of Hepatitis B screening.

resultsBivariate analysis revealed that Chinese respondents who were never screened for HBV were significantly more likely to be below age 40 (69.8%), male (69.2%), had less than a high school education (76.4%), with less than 6 years living in the US (72.8%) and had no health insurance (79.2%). The final model identified enabling factors (having health insurance, a primary health care provider to go to when sick and more frequent visits to a doctor in the last year) as the strongest predictor of HBV screening (coefficient = 0.470, t = 7.618, p < .001). Predisposing factors (education variables) were also significantly related to HBV screening. Cultural factors and Satisfaction with Health care were associated with HBV screening only through their significant relationships with enabling factors.

conclusionsThe tested theoretical model shows promise in predicting HBV testing among Chinese Americans. Increasing access to health care by expanding insurance options and improving culturally sensitivity in health systems are critical to reach new immigrants like Chinese for HBV screening. Yet such strategies are consistent with DHHS Action plan for the Prevention and Treatment of Viral Hepatitis. Implementing community-based strategies like partnering with relevant Community-Based Organizations are important for meeting HBV policy targets.

Indexed as

AdolescentAdultAgedAge FactorsAsianChinaCross-Sectional StudiesEducational StatusEmigrants and ImmigrantsFactor Analysis, StatisticalFemaleHepatitis BHepatitis B virusHumansInsurance, HealthMale

Identifiers

PMID25880870
PMCPMC4357149
OpenAlexW2016992579

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.