Evidence map›Paper›PMID 35019844›Full record

ArticleJMIR diabetes2022

Use of Health Information Technology by Adults With Diabetes in the United States: Cross-sectional Analysis of National Health Interview Survey Data (2016-2018).

Seamus Y Wang, Hsin-Chieh Yeh, Arielle Apfel Stein, Edgar R Miller

Open access · goldAbstract read
In one paragraph

Article in JMIR diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Seamus Y WangCollege of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-7529-6147
Hsin-Chieh YehDepartment of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-5738-0652
Arielle Apfel SteinDepartment of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-9568-4510
Edgar R MillerDepartment of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-0157-6258
Johns Hopkins University · USUniversity of the Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of health information technology (HIT) has been proposed to improve disease management in patients with type 2 diabetes mellitus.

objectiveThis study aims to report the prevalence of HIT use in adults with diabetes in the United States and examine the factors associated with HIT use.

methodsWe analyzed data from 7999 adults who self-reported a diabetes diagnosis as collected by the National Health Interview Survey (2016-2018). All analyses were weighted to account for the complex survey design.

resultsOverall, 41.2% of adults with diabetes reported looking up health information on the web, and 22.8% used eHealth services (defined as filled a prescription on the web, scheduled an appointment with a health care provider on the web, or communicated with a health care provider via email). In multivariable models, patients who were female (vs male: prevalence ratio [PR] 1.16, 95% CI 1.10-1.24), had higher education (above college vs less than high school: PR 3.61, 95% CI 3.01-4.33), had higher income (high income vs poor: PR 1.40, 95% CI 1.23-1.59), or had obesity (vs normal weight: PR 1.11, 95% CI 1.01-1.22) were more likely to search for health information on the web. Similar associations were observed among age, race and ethnicity, education, income, and the use of eHealth services. Patients on insulin were more likely to use eHealth services (on insulin vs no medication: PR 1.21, 95% CI 1.04-1.41).

conclusionsAmong adults with diabetes, HIT use was lower in those who were older, were members of racial minority groups, had less formal education, or had lower household income. Health education interventions promoted through HIT should account for sociodemographic factors.

Indexed as

diabeteshealth information technologyHealthy People 2020Healthy People 2030mobile phoneNational Health Interview Survey

Identifiers

PMID35019844
PMCPMC8792807
OpenAlexW4205404706

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.