Evidence map›Paper›PMID 32217505›Full record

ArticleJournal of medical Internet research2020

The Impact of Portal Satisfaction on Portal Use and Health-Seeking Behavior: Structural Equation Analysis.

Reginald A Silver, Chandrasekar Subramaniam, Antonis Stylianou

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

3 authors.

Reginald A Silver *University of North Carolina at Charlotte, Charlotte, NC, United States.ORCID 0000-0003-1074-3249
Chandrasekar Subramaniam *University of North Carolina at Charlotte, Charlotte, NC, United States.ORCID 0000-0003-4832-2503
Antonis Stylianou *University of North Carolina at Charlotte, Charlotte, NC, United States.ORCID 0000-0002-8605-1161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study addresses a gap in the modern information systems (IS) use literature by investigating factors that explain patient portal satisfaction (SWP) and perceptions about health-seeking behavior (HSB). A novel feature of our study is the incorporation of actual portal use data rather than the perceptions of use intention, which prevails in the modern IS literature.

objectiveThis study aimed to empirically validate factors that influence SWP as an influencing agent on portal use and HSB. Our population segment was comprised of college students with active patient portal accounts.

methodsUsing web-based survey data from a population of portal users (n=1142) in a university health center, we proposed a theoretical model that adapts constructs from the Technology Acceptance Model by Davis, the revised Technology Adoption Model by Venkatesh, the Unified Theory of the Acceptance and Use of Technology 2, and the Health Belief Model by Rosenstock et al. We validated our model using structural equation modeling techniques.

resultsOur model explained nearly 65% of the variance in SWP (R

conclusionsUnderstanding the importance of SWP and the role it plays in influencing HSB may point to future technology design considerations for information technology developers and health care providers. We extend current Expectancy Confirmation Theory research by finding a positive association between SWP and portal use.

Indexed as

AdultData CollectionFemaleHealth BehaviorHumansInformation Seeking BehaviorInformation SystemsMalePatient PortalsPersonal SatisfactionSurveys and QuestionnairesYoung Adulthealth care IThealth-seeking behaviorpatient portalstechnology usage

Identifiers

PMID32217505
PMCPMC7148551

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.