Evidence map›Paper›PMID 38587751›Full record

ArticleJournal of racial and ethnic health disparities2025

Digital Health Interventions for Cancer Prevention Among Racial and Ethnic Minority Groups in the United States: A Scoping Review.

Chinenye Lynette Ejezie, Jihye Choi, Sylvia Ayieko, Sara Burgoa, Yasmine Zerrouki, Diana Lobaina, Goodness Okwaraji, Sandrine Defeu, Lea Sacca

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Digital oncology interventions and equity: a scoping review of design strategies to address cancer disparities.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  3. Review
  4. 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

9 authors.

Chinenye Lynette EjezieThe University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA. CLEjezie@mdanderson.org.ORCID 0000-0001-7335-8597
Jihye ChoiUTHealth Houston School of Public Health, 1200 Pressler Street, Houston, TX, 77030, USA.
Sylvia AyiekoUTHealth Houston School of Public Health, 1200 Pressler Street, Houston, TX, 77030, USA.
Sara BurgoaCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Yasmine ZerroukiCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Diana LobainaCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Goodness OkwarajiCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Sandrine DefeuTulane University School of Medicine, 1430 Tulane Avenue, New Orleans, LA, 70112, USA.
Lea SaccaCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, 33431, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe COVID-19 pandemic abruptly accelerated the use of digital health for cancer care. Previously, researchers identified a variety of digital health interventions for cancer prevention. The purpose of the present scoping review was to identify digital health interventions for cancer prevention designed for racial/ethnic minority groups.

methodsThe scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews and was guided by the Arksey and O'Malley methodological framework. A search of PubMed, Ovid MEDLINE, and CINAHL for peer-reviewed research articles published from database inception to August 21, 2023, was conducted. Peer-reviewed studies published in English that employed digital health interventions for cancer prevention, that were conducted among racial/ethnic minority groups, and that were conducted in the United States were included. Also included were cancer prevention interventions for people who did not have cancer, people who did have cancer, and cancer survivors. Excluded were interventions that included non-Hispanic White individuals, interventions performed outside the United States, interventions that combined face-to-face methods with digital strategies, and interventions that did not clearly include digital health. Articles that focused on technologies for collecting and transmitting health data (e.g., remote patient monitoring) without an explicit tie-in to cancer prevention intervention outcomes were also excluded.

resultsFollowing screening, eight articles met the eligibility criteria. Six of the articles were published prior to the COVID-19 pandemic, and two were published during it. The digital health interventions for cancer prevention in racial/ethnic minority groups included screening (n = 5), emotional support and education (n = 1), human papillomavirus vaccination (n = 1), and education and treatment (n = 1). A consistently measured outcome was intervention efficacy. Four authors explicitly stated that theories or theoretical constructs were employed to guide intervention development. Also, no interventions were created using novel devices such as emerging technologies.

conclusionsWe identified several notable gaps regarding digital health for cancer prevention among racial/ethnic minority groups. Addressing these gaps may help guide continued innovation in the use of digital health for cancer prevention among racial/ethnic minority groups.

Indexed as

Ethnic and Racial MinoritiesEthnicityMinority GroupsNeoplasmsTelemedicineCOVID-19Digital HealthHumansUnited StatesCancer preventionCOVID-19 pandemicDigital healthInterventionRacial and ethnic minority groupsTechnology

Identifiers

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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.