Evidence map›Paper›PMID 40854311›Full record

Trial reportJMIR human factors2025

Web-Based Delivery of an Effective Church-Based Intervention Program to Promote Cancer Screening (Community-based Health litEracy-focused intervention for breast and cervical Cancer Control) Among Korean Immigrant Women in the United States: Randomized Controlled Trial.

Hae-Ra Han, Yoon-Jae Lee, Deborah Min, Joyline Chepkorir, DaSol Amy Hwang, Steve Chae

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Hae-Ra HanJohns Hopkins School of Nursing, 525 N. Wolfe St, Baltimore, MD, 21205, United States, 1 410-614-2669, 1 410-502-5481.ORCID 0000-0002-9419-594X
Yoon-Jae LeeUniversity of Pennsylvania School of Nursing, Philadelphia, PA, United States.ORCID 0000-0002-7115-4192
Deborah MinJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0003-2193-0541
Joyline ChepkorirJohns Hopkins School of Nursing, 525 N. Wolfe St, Baltimore, MD, 21205, United States, 1 410-614-2669, 1 410-502-5481.ORCID 0000-0003-2273-418X
DaSol Amy HwangJohns Hopkins School of Nursing, 525 N. Wolfe St, Baltimore, MD, 21205, United States, 1 410-614-2669, 1 410-502-5481.ORCID 0000-0003-0306-1493
Steve ChaeJohns Hopkins School of Nursing, 525 N. Wolfe St, Baltimore, MD, 21205, United States, 1 410-614-2669, 1 410-502-5481.ORCID 0000-0002-5181-5942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Women with limited English proficiency continue experiencing an unequal cancer burden. Non-White immigrant women present with more advanced breast and cervical cancer than non-Hispanic Whites, attributed to significant cultural barriers as well as low health literacy in attempting to navigate the United States health care system for cancer screening. Community-based Health litEracy-focused intervention for breast and cervical Cancer Control (CHECC-uP) was an in-person, community health worker-led intervention, addressing both cultural and health literacy barriers through health literacy education and follow-up counseling with navigation assistance. The in-person program was tested in a large cluster-randomized trial and yielded high efficacy in promoting mammogram and Papanicolaou test screening in Korean-speaking women. With over 90% of Americans now having online access, the in-person program was adapted to web-based delivery. Objective: This study aimed to evaluate the feasibility, acceptability, and preliminary efficacy of the web version of the intervention-e-CHECC-uP. Methods: A randomized pilot trial was conducted. A total of 40 women were enrolled and randomized (20 per arm). The study intervention consisted of web-based health literacy education followed by phone counseling with navigation assistance. Study assessments were done at baseline, 3 months, and 6 months. The study's primary outcomes were cancer screening behaviors verified by medical record review. Upon completion of final study assessments, intervention participants were invited to join postintervention interviews. Results: In total, 34 women (intervention: n=15; control: n=19) completed the assessment at 6 months, yielding a retention rate of 85%. The intervention participants were highly satisfied with e-CHECC-uP with a median rating of 8 on a 10-point scale. Between-group differences in screening rates were 34.6%, 47.9%, and 37.5%, respectively, for completion of the mammogram, Papanicolaou test, and both at 6 months. Conclusions: We achieved a high retention rate and high participant satisfaction. Although the study was not powered for significance testing, the e-CHECC-uP intervention resulted in large group differences across all cancer screening outcomes in the pilot sample. Online technology can help address multiple logistical barriers associated with in-person intervention delivery. Our findings suggest that web-based delivery of CHECC-uP may be used to promote cancer screening among immigrant women with limited English proficiency, as a promising avenue to ultimately reduce health disparities in underserved communities.

Indexed as

AsianBreast NeoplasmsEarly Detection of CancerEmigrants and ImmigrantsHealth LiteracyUterine Cervical NeoplasmsAdultAgedFemaleHumansInternetInternet-Based InterventionMiddle AgedPilot ProjectsUnited Statescancer screeningcommunity health workersdigital healthhealth literacyKorean Americans

Identifiers

PMID40854311
PMCPMC12377870

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.