Evidence map›Paper›PMID 30518513›Full record

ArticleJournal of medical Internet research2018

eHealth Engagement as a Response to Negative Healthcare Experiences: Cross-Sectional Survey Analysis.

Nicole Senft, Jordan Everson

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
8.1field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  4. Patient-Provider Discussions About Online Health Information in the Health Information National Trends Survey.Health education & behavior : the official publication of the Society for Public Health Education · 2026
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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 2 institutions in 1 country.

Nicole Senft *Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-3617-7276
Jordan Everson *Department of Health Policy, Vanderbilt University School of Medicine, Nashville, TN, United States.ORCID 0000-0001-5355-6043
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

Learning Health System training program: PROgRESS--Patient/ pRactice Outcomes and Research in Effectiveness and Systems ScienceT32HS026122 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRIJALVA, CARLOS G, ROUMIE, CHRISTIANNE L. · 2018 to 2024
$3.5M
Learning Health System Scholar Program at VanderbiltK12HS026395 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROTHMAN, RUSSELL L., ROUMIE, CHRISTIANNE L. · 2018 to 2022
$2.7M
AHRQ HHS T32 HS026122
6 · The paper itself

Abstract

backgroundeHealth provides individuals with new means of accessing health information and communicating with providers through online channels. Prior evidence suggests that patients use eHealth to find information online when they receive care that is low in patient centeredness. However, it is unclear how other problems with the healthcare-delivery system motivate the use of eHealth, how these problems relate to different kinds of eHealth activities, and which populations are most likely to use eHealth when they receive low-quality care.

objectiveWe aimed to determine how two types of negative care experiences-low patient centeredness and care coordination problems-motivate the use of different eHealth activities, and whether more highly educated individuals, who may find these tools easier to use, are more likely to use eHealth following negative experiences than less highly educated individuals.

methodsUsing nationally representative data from the 2017 Health Information National Trends Survey, we used factor analysis to group 25 different eHealth activities into categories based on the correlation between respondents' reports of their usage. Subsequently, we used multivariate negative binomial generalized linear model regressions to determine whether negative healthcare experiences predicted greater use of these resulting categories. Finally, we stratified our sample based on education level to determine whether the associations between healthcare experiences and eHealth use differed across groups.

resultsThe study included 2612 individuals. Factor analysis classified the eHealth activities into two categories: provider-facing (eg, facilitating communication with providers) and independent (eg, patient-driven information seeking and communication with non-providers). Negative care experiences were not associated with provider-facing eHealth activity in the overall population (care coordination: P=.16; patient centeredness: P=.57) or among more highly educated respondents (care coordination: P=.73; patient centeredness: P=.32), but respondents with lower education levels who experienced problems with care coordination used provider-facing eHealth more often (IRR=1.40, P=.07). Individuals engaged in more independent eHealth activities if they experienced problems with either care coordination (IRR=1.15 P=.01) or patient-centered communication (IRR=1.16, P=.01). Although care coordination problems predicted independent eHealth activity across education levels (higher education: IRR=1.13 P=.01; lower education: IRR=1.19, P=.07), the relationship between low perceived patient centeredness and independent activity was limited to individuals with lower education levels (IRR=1.25, P=.02).

conclusionsIndividuals use a greater number of eHealth activities, especially activities that are independent of healthcare providers, when they experience problems with their healthcare. People with lower levels of education seem particularly inclined to use eHealth when they have negative healthcare experiences. To maximize the potential for eHealth to meet the needs of all patients, especially those who are traditionally underserved by the healthcare system, additional work should be performed to ensure that eHealth resources are accessible and usable to all members of the population.

Indexed as

AdultCross-Sectional StudiesFemaleHealthcare DisparitiesHumansMalePatient-Centered CareQuality of Health CareSurveys and QuestionnairesTelemedicinecare coordinationeHealthhealth disparitiespatient-centered care

Identifiers

PMID30518513
PMCPMC6300707
OpenAlexW2896184277

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.