Evidence map›Paper›PMID 31094350›Full record

ArticleJournal of medical Internet research2019

Profiles of a Health Information-Seeking Population and the Current Digital Divide: Cross-Sectional Analysis of the 2015-2016 California Health Interview Survey.

Hena Naz Din, Corinne McDaniels-Davidson, Jesse Nodora, Hala Madanat

Abstract readHistorical Article
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Social media use and mental health among older adults with multimorbidity: the role of self-care efficacy.Journal of the American Medical Informatics Association : JAMIA · 2024
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3 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

4 authors.

Hena Naz DinUniversity of California, San Diego, La Jolla, CA, United States.ORCID 0000-0002-0137-769X
Corinne McDaniels-DavidsonSchool of Public Health, San Diego State University, San Diego, CA, United States.ORCID 0000-0002-4062-7532
Jesse NodoraMoores Cancer Center, University of California, San Diego, La Jolla, CA, United States.ORCID 0000-0001-6756-4423
Hala MadanatSchool of Public Health, San Diego State University, San Diego, CA, United States.ORCID 0000-0002-2547-2202

Funding

Research Education CoreU54CA132384 · NCI · SAN DIEGO STATE UNIVERSITY · PI CRIPPS, RICHARD MATTHEW, CROWE, SHEILA E. · 2008 to 2022
$20.7M
Research Education CoreU54CA132379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARREDONDO, ELVA M, CROWE, SHEILA E. · 2008 to 2021
$16.1M
NCI NIH HHS U54 CA132379NCI NIH HHS U54 CA132384
6 · The paper itself

Abstract

backgroundInternet use for health information is important, given the rise of electronic health (eHealth) that integrates technology into health care. Despite the perceived widespread use of the internet, a persistent "digital divide" exists in which many individuals have ready access to the internet and others do not. To date, most published reports have compared characteristics of internet users seeking health information vs nonusers. However, there is little understanding of the differences between internet users seeking health information online and users who do not seek such information online. Understanding these differences could enable targeted outreach for health interventions and promotion of eHealth technologies.

objectiveThis study aims to assess population-level characteristics associated with different types of internet use, particularly for seeking online health information.

methodsThe 2015-2016 California Health Interview Survey datasets were used for this study. Internet use was classified as never used the internet (Never use), ever used the internet but not to search for health information in the last 12 months (Use not for health), and ever used the internet and have used it to search for health information in the last 12 months (Use for health). Weighted multinomial logistic regression was used to assess sociodemographic and health characteristics associated with types of internet use. Findings are reported as odds ratios (ORs) with 95% CIs.

resultsAmong 42,087 participants (weighted sample of 29,236,426), 19% reported Never Use of the internet, 27.9% reported Use not for health, and 53.1% reported Use for health. Compared to Never Use individuals, Use for health individuals were more likely to be younger (OR: 0.1, 95% CI 0.1-0.2 for ≥60 years vs <60 years), female (OR: 1.6, 95% CI 1.3-1.9 compared to males), and non-Hispanic white (OR: 0.54, 95% CI 0.4-0.7 for Latinos and OR: 0.2, 95% CI 0.2-0.4 for African Americans) and have a higher socioeconomic status (>400% of Federal Poverty Guidelines; OR: 1.3, 95% CI 1.4-2.4). Overall, characteristics for the Use not for health and Use for health groups were similar, except for those with lower levels of education and respondents not having visited a physician in the last year. For these two characteristics, the Use not for health group was more similar to the Never Use group.

conclusionsOur findings indicate that a digital divide characterized by sociodemographic and health information exists across three types of users. Our results are in line with those of previous studies on the divide, specifically with regard to disparities in use and access related to age, race/ethnicity, and socioeconomic status. Disparities in online health-seeking behavior may reflect existing disparities in health care access extending into a new era of health technology. These findings support the need for interventions to target internet access and health literacy among Never Use and Use not for health groups.

Indexed as

Information Seeking BehaviorCaliforniaCross-Sectional StudiesDigital DivideFemaleHealth SurveysHistory, 21st CenturyHumansInternetMaleMiddle AgedPatient Portalsdigital divideeHealthhealth informationinternetonline health information seekingpatient portals

Identifiers

PMID31094350
PMCPMC6537507

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.