Evidence map›Paper›PMID 27733329›Full record

ArticleJournal of medical Internet research2016

Education-Based Gaps in eHealth: A Weighted Logistic Regression Approach.

Laura Amo

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

Laura AmoState University of New York at Buffalo, Buffalo, NY, United States. lccasey@buffalo.edu.ORCID 0000-0002-6433-788X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersons with a college degree are more likely to engage in eHealth behaviors than persons without a college degree, compounding the health disadvantages of undereducated groups in the United States. However, the extent to which quality of recent eHealth experience reduces the education-based eHealth gap is unexplored.

objectiveThe goal of this study was to examine how eHealth information search experience moderates the relationship between college education and eHealth behaviors.

methodsBased on a nationally representative sample of adults who reported using the Internet to conduct the most recent health information search (n=1458), I evaluated eHealth search experience in relation to the likelihood of engaging in different eHealth behaviors. I examined whether Internet health information search experience reduces the eHealth behavior gaps among college-educated and noncollege-educated adults. Weighted logistic regression models were used to estimate the probability of different eHealth behaviors.

resultsCollege education was significantly positively related to the likelihood of 4 eHealth behaviors. In general, eHealth search experience was negatively associated with health care behaviors, health information-seeking behaviors, and user-generated or content sharing behaviors after accounting for other covariates. Whereas Internet health information search experience has narrowed the education gap in terms of likelihood of using email or Internet to communicate with a doctor or health care provider and likelihood of using a website to manage diet, weight, or health, it has widened the education gap in the instances of searching for health information for oneself, searching for health information for someone else, and downloading health information on a mobile device.

conclusionThe relationship between college education and eHealth behaviors is moderated by Internet health information search experience in different ways depending on the type of eHealth behavior. After controlling for college education, it was found that persons who experienced more fruitful Internet health information searches are generally less likely to engage in eHealth behaviors.

Indexed as

Information Seeking BehaviorInternetAdolescentAdultAgedEducational StatusFemaleHumansLogistic ModelsMaleMiddle AgedTelemedicineUnited StatesYoung AdulteHealthinformation storage and retrievalmodels, statistical

Identifiers

PMID27733329
PMCPMC5081480

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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.