Evidence map›Paper›PMID 36332522›Full record

ArticleInternational journal of medical informatics2022

User satisfaction and the readiness-to-use e-health applications in the future in Polish society in the early phase of the COVID-19 pandemic: A cross-sectional study.

Mariusz Duplaga, Natalia Turosz

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Article in International journal of medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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  3. Investigating the early uptake of digital self-management interventions amongst Dutch cancer survivors using nationwide registry data-the OncoAppstore case.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Mariusz DuplagaDepartment of Health Promotion and e-Health, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Skawinska St, 8, 31-066 Cracow, Poland. Electronic address: mariusz.duplaga@uj.edu.pl.
Natalia TuroszDepartment of Health Promotion and e-Health, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Skawinska St, 8, 31-066 Cracow, Poland. Electronic address: natalia.turosz@uj.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic resulted in the rapid expansion of e-health services in Poland. The main aim of the study was to assess the determinants of user satisfaction and the readiness-to-use e-health applications in Polish society. PATIENTS AND

methodsThe paper presents the results of the analysis of the data obtained through a computer-assisted web interviewing survey in a representative sample of 1002 adult Internet users in Poland. The survey was based on a questionnaire consisting of 55 items. The determinants of user satisfaction and the readiness-to-use of e-health solutions were assessed with univariable and hierarchical logistic regression models.

resultsE-health services had been used by 60.6% of respondents from the beginning of the epidemic state in Poland to June 2020, when the survey was performed. The hierarchical model showed that user satisfaction with e-health interactions was significantly associated with HL (Health Literacy) and eHL (e-Health Literacy), COVID-19-related conspiracy beliefs score, and using a televisit because of acute symptoms not suggesting COVID-19. Readiness-to-use e-health in the future showed a significant relationship with place of residence, marital status, eHL, the self-assessment of knowledge about preventing COVID-19, the use of televisits for renewing prescriptions, and the level of satisfaction with e-health services.

conclusionsSatisfaction with e-health services depends mainly on the HL, eHL, and conspiracy beliefs of patients. Readiness-to-use e-health in the future is associated with the level of eHL and sociodemographic characteristics, but previous experience with e-health services seems to be the main predictor.

Indexed as

COVID-19Health LiteracyTelemedicineAdultCross-Sectional StudiesHumansPandemicsPersonal SatisfactionPolandSurveys and QuestionnairesConspiracy beliefsCOVID-19E-healthHealth literacyTelemedicine

Identifiers

PMID36332522
PMCPMC9595485

What OpenQuestion holds

Textmetadata
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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.