Evidence map›Paper›PMID 39709341›Full record

ArticleBMC geriatrics2024

Digital divide as a determinant of health in the U.S. older adults: prevalence, trends, and risk factors.

Rumei Yang, Shiying Gao, Yun Jiang

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
–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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  12. Digital Divide Among U.S. Adults with and without Cancer: Prevalence and Associated Factors.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
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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

3 authors.

Rumei Yang *School of Nursing, Nanjing Medical University, Nanjing, China. rumeiyang@njmu.edu.cn.
Shiying GaoSchool of Nursing, Nanjing Medical University, Nanjing, China.
Yun Jiang *School of Nursing, University of Michigan, Ann Arbor, USA. jiangyu@umich.edu.

Funding

General Project of Philosophy and Social Science Research in Jiangsu Universities 2020SJA0302Nanjing Medical University JX10631803 & NMUR2020006National Natural Science Foundation of China 72004098Project of "Nursing Science" Funded by the Priority Discipline Development Program of Jiangsu Higher Education Institutions General Office, the People's Government of Jiangsu Province〔2018〕No.87
6 · The paper itself

Abstract

backgroundThe rapid development of digital technologies has fundamentally changed the care for older adults. However, not all older adults have equal opportunities to access and use the technologies, more importantly, be able to benefit from the technologies. We aimed to explore (1) the prevalence and the trend in the prevalence of digital divide in older adults, including digital access gap, digital use gap (specifically, using digital technologies for health commutation [e-communication gap]), and self-efficacy in information seeking gap (cognitive gap); (2) sociodemographic factors related to three perspectives of digital divide; and (3) the association between digital divide and self-rated health (exploratory).

methodsAdults aged 65 years or older (N = 5,671, weighted mean [SD] age = 74.26 [10.09] years) from the Health Information National Trends Surveys (2017-2020) were analyzed using the weighted logistic and linear regression models.

resultsThere was a significant linear decrease in the adjusted prevalence of digital access gap (odds ratio [OR] = 0.86, 95% CI = 0.78, 0.94) and the e-communication gap (OR = 0.88, 95% CI = 0.82, 0.95) over time. However, there were no significant changes in cognitive gap between 2017 and 2019, and between 2018 and 2020. Overall, older adults with digital divide were more likely to be less educated, have less income, and self-identified as Hispanic people. Univariate analyses found that three perspectives of digital divide were significantly associated with poor self-rated health. Multivariate analyses adjusted for covariates (e.g., age and sex) found that the access gap but not the e-commutation gap was associated with self-rated health and that cognitive gap was only associated with self-rated health between 2018 and 2020 but not between 2017 and 2019.

conclusionsDigital divide is decreasing but remains persistent and disproportionately affects self-rated health of older adults, particularly those who are socially disadvantaged (e.g., lower education and income). Continued efforts are needed to address digital divide among them.

Indexed as

Digital DivideAgedAged, 80 and overFemaleHealth StatusHumansMalePrevalenceRisk FactorsUnited StatesCognitive gapDigital access gapDigital divideE-communication gapOlder adultsSelf-rated health

Identifiers

PMID39709341
PMCPMC11662839

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LicenceCC BY-NC-ND
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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.