ArticleJournal of immigrant and minority health2026
Digital Health Inequalities Among Immigrants in the United States: An Intersectional Analysis Using Nationally Representative Survey Data.
Article in Journal of immigrant and minority health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The rapid expansion of digital health during COVID-19 transformed healthcare delivery, offering new opportunities for remote care. However, health access remains inequitable, with barriers such as technology access, language barriers, and financial constraints disproportionately affecting immigrants and marginalized populations. This study applied an intersectional approach to examine digital health utilization trends by immigration status and key sociodemographic factors. This study analyzed nationally representative data from the 2021-2023 National Health Interview Survey (NHIS) for adults (N = 83,116). Immigration status was cross-classified with race/ethnicity, gender, marital status, education, income, health insurance, chronic conditions, and rural residency. Weighted logistic regression models examined disparities and moderation effects. While digital health utilization generally declined post-pandemic with increased access to in-person care, disparities across populations persisted. While naturalized immigrants had similar odds of digital health use compared to U.S.-born individuals, noncitizen immigrants had significantly lower odds. The findings also reveal noncitizen immigrants, particularly those with lower income, no insurance, and living in rural areas, face significant barriers in accessing digital health services. These disparities highlight the need for targeted policies to ensure equitable access to digital health resources for immigrant populations.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.