Evidence map›Paper›PMID 36749506›Full record

Trial reportDigestive diseases and sciences2023

A Comparative Trial of Improving Care for Underserved Asian Americans Infected with Hepatitis B Virus.

Grace X Ma, Lin Zhu, Yin Tan, Shumenghui Zhai, Xiaoli Ma, Olorunseun O Ogunwobi, Wei Jenny Yang, Tsunyou Ting, Sara Kim, Min Qi Wang

Open access · greenAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Digestive diseases and sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. 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

10 authors at 5 institutions in 1 country.

Grace X MaCenter for Asian Health, Lewis Katz School of Medicine, Temple University, Kresge Hall, Suite 320, 3440 N Broad St., Philadelphia, PA, 19140, USA. grace.ma@temple.edu.ORCID http://orcid.org/0000-0002-3619-0550
Lin ZhuCenter for Asian Health, Lewis Katz School of Medicine, Temple University, Kresge Hall, Suite 320, 3440 N Broad St., Philadelphia, PA, 19140, USA.
Yin TanCenter for Asian Health, Lewis Katz School of Medicine, Temple University, Kresge Hall, Suite 320, 3440 N Broad St., Philadelphia, PA, 19140, USA.
Shumenghui ZhaiSchool of Nursing, University of Washington, Seattle, WA, USA.
Xiaoli MaHepatology Clinic, Philadelphia, PA, USA.
Olorunseun O OgunwobiDepartment of Biological Sciences, Hunter College, City University of New York, New York, NY, USA.
Wei Jenny YangCenter for Asian Health, Lewis Katz School of Medicine, Temple University, Kresge Hall, Suite 320, 3440 N Broad St., Philadelphia, PA, 19140, USA.
Tsunyou TingFaith Hope Love Chinese Church, Philadelphia, PA, USA.
Sara KimKorean Community Services of Metropolitan New York, New York, NY, USA.
Min Qi WangDepartment of Behavioral and Community Health, School of Public Health, University of Maryland, College Park, MD, USA.
Temple University · USCity University of New York · USKorean Community Services of Metropolitan New York · USUniversity of Maryland, College Park · USUniversity of Washington · US

Funding

TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221705 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI GRACE X. MA · 2018 to 2026
$16.3M
TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221704 · NCI · HUNTER COLLEGE · PI Joel Erblich, Jennifer S Ford · 2018 to 2026
$10.6M
NCI NIH HHS U54 CA221704NCI NIH HHS U54 CA221705
6 · The paper itself

Abstract

backgroundHepatitis B virus (HBV) is the leading cause of hepatocellular carcinoma (HCC). Asian Americans have the highest incidence and mortality rates of HCC among all US racial/ethnic groups. Inadequate monitoring and treatment of chronic hepatitis B contribute to poor health outcomes and increased healthcare costs among Asian Americans.

aimsThe goal of this study is to assess the effect of a patient-led strategy on chronic hepatitis B monitoring and treatment adherence specifically among Asian Americans with culturally tailored Patient Navigator-led Intervention.

methodsFrom 2015 to 2018, 532 eligible participants living with chronic hepatitis B in the greater Philadelphia and New York city metropolitan areas were randomly assigned to either the intervention group or the control group. Generalized linear mixed-effects models were used to estimate the odds ratio (OR) for rates of doctor visits for chronic hepatitis B and rates of alanine aminotransferase testing for evidence of liver damage.

resultsIntervention group had higher rates of doctor visits than the control group at both 6-month (77.22% vs. 45.75%) and 12-month assessments (90.73% vs. 60.61%). Significantly more intervention group participants received ALT testing than control group participants at 6-month (52.90% vs. 25.10%) and 12-month (75.40% vs. 46.75%) follow-up.

conclusionsCulturally and linguistically appropriate intervention has strong effects on adherence to follow-up care among Asian American hepatitis B patients experiencing challenges to medication adherence and follow up care. These findings further identify opportunities for practical implementation of evidence-based intervention that could lead to reductions in disparities in chronic liver disease and liver cancer among high-risk, underserved populations.

Indexed as

Carcinoma, HepatocellularHepatitis BHepatitis B, ChronicLiver NeoplasmsAsianHepatitis B virusHumansQuality ImprovementAsian AmericansChronic hepatitis BMonitoringTreatment adherence

Identifiers

PMID36749506
PMCPMC10192107
OpenAlexW4319334067

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.