Evidence map›Paper›PMID 26104000›Full record

ArticleJournal of medical Internet research2015

Association Between Acute Medical Exacerbations and Consuming or Producing Web-Based Health Information: Analysis From Pew Survey Data.

Risha Gidwani, Donna Zulman

Registry-linked trialOpen access · goldAbstract readComparative Study
In one paragraph

Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02932228 (Evaluating Innovative Care Models for High-Utilizing Patients), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 8% 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.

NCT02932228 nacompletednot on this map

Evaluating Innovative Care Models for High-Utilizing Patients

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2013 to 2015Enrolled583ConditionsPrimary Health Care, Health Care CostsArmsImPACT
3 · Its place in the literature

Who cites it

6 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

2 authors at 1 institution in 1 country.

Risha GidwaniVA Health Economics Resource Center, Menlo Park, CA, United States. risha.gidwani@va.gov.ORCID http://orcid.org/0000-0002-3548-2332
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Internet is an increasingly important resource for individuals who seek information from both health professionals and peers. While the demographic and health characteristics of persons who use health information technology has been well described, less is known about the relationship between these health characteristics and level of engagement with health information technology. Even less is known about whether persons who produce Web-based health information differ in health status from persons who consume such content.

objectiveWe explored the health characteristics of persons who engage with the Internet for the purposes of consuming or producing Web-based health information, and specifically, whether healthier versus sicker persons engage with health information technology in different ways.

methodsWe analyzed data from the 2012 Pew Health survey, a landline and cell phone survey of 3104 adults in the United States. Using multiple logistic regression with sampling weights, we examined the association between sociodemographic and health characteristics and the consumption or production of Web-based health information. Sociodemographic variables included age, sex, race, and education. Health characteristics included self-reported health status, presence of chronic condition(s), and having an acute medical exacerbation. Acute medical exacerbations were defined as an emergency department visit, hospitalization, or other serious medical emergency in the last 12 months.

resultsThe majority of the sample reported good or excellent health (79.7%), although 50.3% reported having at least one chronic condition. About a fifth (20.2%) of the sample experienced an acute medical exacerbation in the past year. Education was the sociodemographic characteristic most strongly associated with consuming Web-based health information. The strongest health-related predictors of consuming Web-based health information were an acute medical exacerbation (OR 2.39, P<.001) and having a chronic condition (OR 1.54, P=.007). Having an acute medical exacerbation was the only predictor of producing Web-based health information (OR 1.97, P=.003). All participants, regardless of health status, were most interested in Web-based health information regarding diseases or medical problems. However, persons with acute medical exacerbations were more likely to seek Web-based health information regarding medical tests, procedures, and drugs compared to persons without acute medical exacerbations.

conclusionsProducers of Web-based health information differ from consumers of this information in important health characteristics that could skew the content of peer-generated Web-based health information and overrepresent the experiences of persons with acute medical exacerbations. Providers may have a role to play in directing patients towards high-quality, easy-to-understand online information, especially information regarding treatments and procedures.

Indexed as

Disease ProgressionHealth StatusInternetAdultAgedCell PhoneChronic DiseaseConsumer Health InformationEmergency Service, HospitalFemaleHospitalizationHumansLogistic ModelsMaleMedical InformaticsMiddle Agedemergencieshealth knowledge, attitudes, practicehospitalizationInternet

Identifiers

PMID26104000
PMCPMC4526957
OpenAlexW1773679515

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.