Evidence map›Paper›PMID 28075508›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2018

Differences in Access to and Use of Electronic Personal Health Information Between Rural and Urban Residents in the United States.

Alexandra J Greenberg, Danielle Haney, Kelly D Blake, Richard P Moser, Bradford W Hesse

Abstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

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

  1. Pooled it
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  3. The role of digital health technology in rural cancer care delivery: A systematic review.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Pooled it
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  8. Gaps in artificial intelligence research for rural health in the United States: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2026
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  13. Investigating the early uptake of digital self-management interventions amongst Dutch cancer survivors using nationwide registry data-the OncoAppstore case.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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43 more citing papers are in PubMed but not listed here.

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.

Alexandra J GreenbergDepartment of Neurology, Mayo Clinic, Rochester, Minnesota.
Danielle HaneyOffice of Science Policy, Engagement, Education, and Communications, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Kelly D BlakeDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Richard P MoserDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Bradford W HesseDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.

Funding

"Don't Know" Responses to Risk Perception Questions: Identifying Mechanisms and SolutionsR01CA197351 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI HAY, JENNIFER L, OROM, HEATHER · 2015 to 2018
$1.4M
Intramural NIH HHS Z99 CA999999NCI NIH HHS R01 CA197351
6 · The paper itself

Abstract

purposeThe increase in use of health information technologies (HIT) presents new opportunities for patient engagement and self-management. Patients in rural areas stand to benefit especially from increased access to health care tools and electronic communication with providers. We assessed the adoption of 4 HIT tools over time by rural or urban residency.

methodsAnalyses were conducted using data from 7 iterations of the National Cancer Institute's Health Information National Trends Survey (HINTS; 2003-2014). Rural/urban residency was based on the USDA's 2003 Rural-Urban Continuum Codes. Outcomes of interest included managing personal health information online; whether providers maintain electronic health records (EHRs); e-mailing health care providers; and purchasing medicine online. Bivariate analyses and logistic regression were used to assess relationships between geography and outcomes, controlling for sociodemographic characteristics.

findingsIn total, 6,043 (17.6%, weighted) of the 33,749 respondents across the 7 administrations of HINTS lived in rural areas. Rural participants were less likely to report regular access to Internet (OR = 0.70, 95% CI = 0.61-0.80). Rural respondents were neither more nor less likely to report that their health care providers maintained EHRs than were urban respondents; however, they had decreased odds of managing personal health information online (OR = 0.59, 95% CI = 0.40-0.78) and e-mailing health care providers (OR = 0.62, 95% CI = 0.49-0.77).

conclusionsThe digital divide between rural and urban residents extends to HIT. Additional investigation is needed to determine whether the decreased use of HIT may be due to lack of Internet connectivity or awareness of these tools.

Indexed as

AdolescentAdultAgedAged, 80 and overElectronic Health RecordsFemaleHealth Records, PersonalHealth Services AccessibilityHumansLogistic ModelsMaleMiddle AgedRural PopulationUnited StatesUrban Populationaccess to carehealth disparitieshealth services researchtechnologyutilization of health services

Identifiers

PMID28075508
PMCPMC5505819

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.