Evidence map›Paper›PMID 36449328›Full record

ArticleJMIR formative research2022

Web-Based Health Information-Seeking Methods and Time Since Provider Engagement: Cross-sectional Study.

Eden Shaveet, Catherine Urquhart, Marissa Gallegos, Olaf Dammann, Laura Corlin

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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.

Eden ShaveetDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.ORCID https://orcid.org/0000-0002-6889-6064
Catherine UrquhartDepartment of Community Health, Tufts University School of Arts and Sciences, Medford, MA, United States.ORCID https://orcid.org/0000-0001-5477-2397
Marissa GallegosDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.ORCID https://orcid.org/0000-0001-7128-5638
Olaf DammannDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.ORCID https://orcid.org/0000-0002-0046-4863
Laura CorlinDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.ORCID https://orcid.org/0000-0002-3348-9063

Funding

Tufts BIRCWH ProgramK12HD092535 · NICHD · TUFTS UNIVERSITY BOSTON · PI FREUND, KAREN, JAFFE, IRIS Z · 2017 to 2023
$4.3M
NICHD NIH HHS K12 HD092535
6 · The paper itself

Abstract

backgroundThe use of web-based methods to seek health information is increasing in popularity. As web-based health information (WHI)-seeking affects health-related decision support and chronic symptom self-management, WHI-seeking from online sources may impact health care decisions and outcomes, including care-seeking decisions. Patients who are routinely connected to physicians are more likely to receive better and more consistent care. Little is known about whether WHI-seeking impacts the frequency at which patients engage with health care providers.

objectiveOur primary objective was to describe the associations between the use of web-based methods to seek information about one's own health and the time since last engaging with a health care provider about one's own health. Additionally, we aimed to assess participants' trust in health care organizations to contextualize our findings.

methodsWe analyzed data from US adults participating in the nationally representative Tufts Equity in Health, Wealth, and Civic Engagement Survey (N=1034). Bivariate associations between demographic characteristics and health information-seeking methods were assessed with Pearson chi-squared tests. Bivariate associations of Medical Mistrust Index (MMI) scores with each health information-seeking method and time since provider engagement were assessed with F tests and adjusted Wald tests. We fit a multivariable logistic regression model to assess the association between WHI-seeking within the 12 months prior to survey (alone or in combination with provider-based methods versus provider only) and engagement with a provider more than 1 year prior to the time of survey, adjusting for age, race and ethnicity, sex, education, insurance coverage, and MMI.

resultsAge, race and ethnicity, educational attainment, health insurance source, MMI, and time since provider engagement were each significantly associated with the health information-seeking method in bivariate analyses. Compared to using only provider-based health information seeking methods, WHI-based methods alone or in combination with provider-based methods were associated with a 51% lower likelihood (odds ratio 0.49, 95% CI 0.27-0.87) of engaging with a provider within the previous year. Participants who used WHI-seeking methods alone and those who had not engaged with a health care provider within the previous year demonstrated a higher mean MMI score; however, MMI was not a significant predictor of time since engagement with a provider in the multivariable analysis.

conclusionsOur findings from a nationally representative survey suggest that for those who use WHI-seeking methods (alone or in combination with provider-based information-seeking methods), there is a statistically significant lower likelihood of engaging with a provider in a year compared to those who only use provider-based methods. Future research should consider the intent of a person's visit with a provider, trust in health care systems, methods of provider engagement, and specific web-based platforms for health information.

Indexed as

consumer health informationinformation-seeking behaviorinternetphysician-patient relationssocial mediatrust

Identifiers

PMID36449328
PMCPMC9752449

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.