Evidence map›Paper›PMID 35635741›Full record

ArticleJournal of medical Internet research2022

Disparity and Factors Associated With Internet Health Information Seeking Among US Adults Living With Diabetes Mellitus: Cross-sectional Study.

Ransome Eke, Khadiza Tul Jannat, Xin Thomas Yang, Jason M Parton

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 21 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.

Ransome Eke *Department of Community Medicine, Mercer University School of Medicine, Columbus, GA, United States.ORCID 0000-0003-2148-4414
Khadiza Tul Jannat *College of Communication and Information Sciences, The University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0003-2583-934X
Xin Thomas Yang *Institute of Data and Analytics, The University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0002-7542-054X
Jason M Parton *Institute of Data and Analytics, The University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0002-6636-1090
University of Alabama · USMercer University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany patients with chronic medical conditions search the internet to obtain medical advice and health information to improve their health condition and quality of life. Diabetes is a common chronic disease that disproportionately affects different race and ethnicity groups in the United States. In the existing literature on the popularity of internet health information seeking among persons with a chronic medical condition, there are limited data on US adults living with diabetes.

objectiveThis study aims to examine the factors associated with internet health information seeking among US adults living with diabetes and whether there is a disparity in internet health information seeking stratified by race and ethnicity.

methodsWe conducted a cross-sectional study using the Health Information National Trends Survey data from 2017 to 2020. We selected our study sample based on respondents' reports on whether they were told they had diabetes, and our primary outcome was internet health information-seeking behavior. We used 2 multivariable logistic regression models to examine the effects of sociodemographic factors and other covariates on the internet health information-seeking behavior of adults with diabetes. Jackknife replicate weights were used to provide bias-corrected variance estimates.

resultsOur study sample included 2903 adults who self-reported that they had diabetes. In total, 60.08% (1744/2903) were non-Hispanic White individuals, 46.88% (1336/2850) were men, and 64% (1812/2831) had some college or graduate education. The prevalence of internet health information seeking in this population was 64.49% (1872/2903), and the main factors associated with internet health information seeking included education level (some college vs less than high school: odds ratio [OR] 1.42, 95% CI 1.44-1.88; and college graduate or higher vs less than high school: OR 2.50, 95% CI 1.79-3.50), age (age group ≥65 years vs age group 18-44 years: OR 0.46, 95% CI 0.34-0.63), and household income level (P<.001). In addition, we found significant differences in the effects of predictors stratified by race.

conclusionsThe findings from this study suggest that internet health information seeking is common among US adults living with diabetes. Internet health information could influence the relationship between health care providers and adults living with diabetes and improve their self-management and quality of life.

Indexed as

Diabetes MellitusInformation Seeking BehaviorAdolescentAdultAgedCross-Sectional StudiesFemaleHumansInternetMaleQuality of LifeUnited StatesYoung Adultadults living with diabeteschronic conditionsdiabetesethnicityHealth Information National Trends Surveyinformation seekinginternetinternet health informationmobile phonepredictorsraceracial disparityself-management

Identifiers

PMID35635741
PMCPMC9153918
OpenAlexW4282925768

What OpenQuestion holds

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LicenceCC BY
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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.