Evidence map›Paper›PMID 40206610›Full record

ArticleMayo Clinic proceedings. Digital health2023

Assessing Access to Digital Services in Health Care-Underserved Communities in the United States: A Cross-Sectional Study.

Diego F Cuadros, Claudia M Moreno, F DeWolfe Miller, Ryosuke Omori, Neil J MacKinnon

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Journal of the American Heart Association · 2024
    Review
  6. Review
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

5 authors.

Diego F CuadrosDigital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati.
Claudia M MorenoDepartment of Physiology and Biophysics, University of Washington School of Medicine, Seattle.
F DeWolfe MillerDepartment of Tropical Medicine and Medical Microbiology and Pharmacology, University of Hawaii, Honolulu.
Ryosuke OmoriDivision of Bioinformatics, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan.
Neil J MacKinnonDepartment of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the spatial association between the access to broadband and social and health care vulnerability in the United States at the county level. Patients and Methods: Data from 3108 counties in the contiguous United States was used in this study. Access to broadband was defined as the percentage of population with a high-speed internet subscription. County-level data for access was obtained from the Survey and American Community Survey Geographic Estimates of Internet Use, 1997-2018. Indexes for resource-constrained health system, health care access barriers, and social vulnerability were obtained from the 2021 Surgo COVID-19 Vaccine Uptake Index and the Centers for Diseases and Control. We used spatial bivariate and multivariate analyses to determine the geospatial association between broadband access and the health care and social determinants. After identifying the geospatial clusters, their rates for the health care and social indexes were compared using generalized linear mixed-effects models. Results: We found that the United States exhibits a distinct spatial structure with defined vulnerable communities characterized by a high social vulnerability index, a high health access barrier index, and a high resource-constrained health care system index. However, we found a negative geospatial association between these 3 indexes of vulnerability and the access to broadband. We identified a geographical cluster in the southern part of the country with low broadband access and poor social and health indicators. Conclusions: Most health care-underserved communities in the United States are located in digital deserts with low high-speed internet access. These digital barriers could prevent the successful expansion of digital health care services and might exacerbate health care disparities in these vulnerable communities.

Identifiers

PMID40206610
PMCPMC11975688

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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.