Evidence map›Paper›PMID 42667549›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2026

Digital Divide Among U.S. Adults with and without Cancer: Prevalence and Associated Factors.

Yupawadee Kantabanlang, Shushun Ren, Misun Hwang, Rumei Yang, Abdul-Ghaniyu Alidu, Yun Jiang

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Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yupawadee KantabanlangSchool of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0001-9397-0652
Shushun RenSchool of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0009-0005-7536-003X
Misun HwangSchool of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0001-8102-3308
Rumei YangNanjing Medical University School of Nursing, Nanjing, 211166, China.ORCID http://orcid.org/0000-0001-9971-2507
Abdul-Ghaniyu AliduSchool of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0009-0006-6832-8418
Yun JiangSchool of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI, 48109, USA. jiangyu@umich.edu.ORCID http://orcid.org/0000-0001-6737-5016

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital technologies have transformed healthcare, yet disparities persist, particularly among older adults and individuals with cancer. The digital divide encompasses not only access but also challenges in electronic communication and cognitive engagement, affecting health equity. This study examined the prevalence of three digital divide dimensions (Access, E-communication, and Cognitive Gaps) among U.S.adults with and without cancer and assessed their associations with sociodemographic factors, clinical characteristics, and self-rated health. Cross-sectional data from the 2022 Health Information National Trends Survey (HINTS 6; N = 5,808) were analyzed using survey-weighted methods. Generalized linear models examined sociodemographic and clinical predictors of digital gaps, and survey-weighted linear regression assessed associations with self-rated health. The E-communication Gap was most prevalent (36.2%), followed by the Cognitive Gap (13.3%) and Access Gap (4.7%). Older adults had higher prevalence across all gaps. Individuals with cancer showed higher Access and Cognitive Gaps than those without cancer. Older age and lower education were consistent predictors, and comorbidities increased the likelihood of Access Gap among adults with cancer. The Cognitive Gap reflecting low confidence in finding health information online was significantly associated with poorer self-rated health overall (β̂ = -0.18; 95% CI [- 0.30, - 0.06]) and among older adults. The digital divide is multidimensional and disproportionately affects older adults and individuals with cancer. Cognitive-related digital barriers may play an important role in perceived health, highlighting the need for interventions that strengthen digital literacy and support equitable participation in digital health.

Indexed as

Cancer survivorsDigital divideDigital literacyHealth equityOlder adultsSelf-rated health

Identifiers

What Socratic holds

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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 Socratic graph.