Evidence map›Paper›PMID 33688561›Full record

ArticleAsia-Pacific journal of oncology nursing

Barriers and Challenges to Cervical Cancer Screening, Follow-Up, and Prevention Measures among Korean Immigrant Women in Hawaii.

Eurina Yujin Cha, Hans Chun

Open access · goldAbstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Eurina Yujin ChaSchool of Nursing and Health Professions, Chaminade University, Honolulu, HI, USA.
Hans ChunSchool of Education and Behavioral Sciences, Chaminade University, Honolulu, HI, USA.
Chaminade University of Honolulu · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDespite being the fastest-growing population in the United States, Asian American women have one of the lowest cancer screening rates and the least attention given to cancer-related research. Cervical cancer screening disparities among Korean immigrant women (KIWs) in Hawaii have been reported.

methodsThe qualitative ethnographic study was to explore the health barriers and challenges of cervical cancer prevention among KIWs in Hawaii. The Social Ecological Model was used to guide the study. Data were collected using individual structured interviews with 20 KIWs aged 21-65 years. The data were coded and analyzed to identify themes in exploring health barriers.

resultsThe findings revealed that participants (a) lacked knowledge about the U.S. health-care system; (b) lacked access; (c) had limited resources regarding cervical cancer screening communicated in Korean; (d) lacked an understanding of cultural and psychosocial beliefs on preventive care; (e) lacked female and Korean-speaking providers; and (f) experienced language barriers and limited coverage of health insurance.

conclusionsA multicomponent intervention combining individual and community-based, Internet-accessible, culturally, and linguistically appropriate approaches may enhance effective cervical cancer screening rates and positive health outcomes among KIWs in Hawaii.

Indexed as

Cervical cancer screeningcultural approachhealth barriershealth disparityKorean immigrant healthminority healthunderserved minority population

Identifiers

PMID33688561
PMCPMC7934592
OpenAlexW3126849778

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.