Evidence map›Paper›PMID 32667891›Full record

ArticleJournal of medical Internet research2020

Exploring eHealth Literacy and Patient-Reported Experiences With Outpatient Care in the Hungarian General Adult Population: Cross-Sectional Study.

Zsombor Zrubka, Óscar Brito Fernandes, Petra Baji, Ottó Hajdu, Levente Kovacs, Dionne Kringos, Niek Klazinga, László Gulácsi, Valentin Brodszky, Fanni Rencz and 1 more

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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  3. [Relevance of eHealth Literacy (eHL) for health services research and practice - Part II].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2026
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  7. Population norms for the EQ-5D-5L for Hungary: comparison of online surveys and computer assisted personal interviews.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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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

11 authors.

Zsombor ZrubkaDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.ORCID 0000-0002-1992-6087
Óscar Brito FernandesDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.ORCID 0000-0002-3212-373X
Petra BajiDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.ORCID 0000-0003-2899-8557
Ottó HajduDepartment of Comparative Economics, Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0003-3054-5813
Levente KovacsPhysiological Controls Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary.ORCID 0000-0002-3188-0800
Dionne KringosDepartment of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0003-2711-4713
Niek KlazingaDepartment of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-3937-8014
László GulácsiDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.ORCID 0000-0002-9285-8746
Valentin BrodszkyDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.ORCID 0000-0002-6095-2295
Fanni RenczDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.ORCID 0000-0001-9674-620X
Márta PéntekDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.ORCID 0000-0001-9636-6012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health, which encompasses the use of information and communications technology in support of health, is a key driving force behind the cultural transformation of medicine toward people-centeredness. Thus, eHealth literacy, assisted by innovative digital health solutions, may support better experiences of care.

objectiveThe purpose of this study is to explore the relationship between eHealth literacy and patient-reported experience measures (PREMs) among users of outpatient care in Hungary.

methodsIn early 2019, we conducted a cross-sectional survey on a large representative online sample recruited from the Hungarian general population. eHealth literacy was measured with the eHealth Literacy Scale (eHEALS). PREMs with outpatient care were measured with a set of questions recommended by the Organisation for Economic Co-operation and Development (OECD) for respondents who attended outpatient visit within 12 months preceding the survey. Bivariate relationships were explored via polychoric correlation, the Kruskal-Wallis test, and chi-square test. To capture nonlinear associations, after controlling covariates, we analyzed the relationship between eHEALS quartiles and PREMs using multivariate probit, ordinary least squares, ordered logit, and logistic regression models.

resultsFrom 1000 survey respondents, 666 individuals (364 females, 54.7%) were included in the study with mean age of 48.9 (SD 17.6) years and mean eHEALS score of 29.3 (SD 4.9). Respondents with higher eHEALS scores were more likely to understand the health care professionals' (HCPs') explanations (χ

conclusionsWe demonstrated the association between eHealth literacy and PREMs. The potential patient-, physician-, and system-related factors explaining the negative experiences among people with highest levels of eHealth literacy warrant further investigation, which may contribute to the development of efficient eHealth literacy interventions. Further research is needed to establish causal relationship between eHealth literacy and patient-reported experiences.

Indexed as

Patient Reported Outcome MeasuresAmbulatory CareCross-Sectional StudiesFemaleHealth LiteracyHumansHungaryMaleMiddle AgedSurveys and QuestionnairesTelemedicineambulatory careeHealth literacy, patient-reported experience measureshealth literacyHungarypatient-reported outcome measuresshared decision makingsurvey

Identifiers

PMID32667891
PMCPMC7448194

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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.