Evidence map›Paper›PMID 42683609›Full record

Observational studyInternational nursing review2026

Factors Associated With Nurses' Self-Reported Susceptibility to Online Health Misinformation: Evidence From Greece.

Aglaia Katsiroumpa, Ioannis Moisoglou, Olympia Konstantakopoulou, Petros Galanis

Abstract readObservational Study
In one paragraph

Observational study in International nursing review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Aglaia KatsiroumpaClinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.ORCID https://orcid.org/0000-0002-0920-6940
Ioannis MoisoglouFaculty of Nursing, University of Thessaly, Larissa, Greece.ORCID https://orcid.org/0000-0002-6003-0733
Olympia KonstantakopoulouClinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.ORCID https://orcid.org/0000-0002-7241-6860
Petros GalanisClinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.ORCID https://orcid.org/0000-0002-1308-5782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimWe investigated factors associated with online health misinformation in nurses. In particular, we examined the association between several demographic variables, nurses' perceived integrity of scientists, and online health misinformation susceptibility.

backgroundThe ability to identify and counteract misinformation in healthcare is more critical than ever to safeguard public health and maintain confidence in evidence-based practices.

methodsFor this cross sectional study, we collected our data in Greece through an online survey during October 2025. We used the Health-Related Online Misinformation Susceptibility Scale to measure online health misinformation behavioral susceptibility in our nurses. We used the Trust in Scientists Scale to measure levels of nurses' perceived integrity of scientists. Our study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology guidelines.

resultsWe found that nurses' perceived integrity of scientists is associated with online health misinformation behavioral susceptibility. Moreover, we found that nurses with an MSc/PhD diploma had lower levels of misinformation susceptibility. Additionally, interest in politics was associated with lower misinformation susceptibility.

conclusionOur findings showed a negative association between nurses' perceived integrity of scientists and online health misinformation susceptibility. Additionally, educational level and interest in politics were associated with online health misinformation susceptibility. IMPLICATIONS FOR NURSING: Identification of factors associated with nurses' misinformation susceptibility is crucial to identify high-risk groups and develop appropriate strategies to reduce this phenomenon. In this context, policymakers and healthcare organizations should reduce nurses' misinformation susceptibility and improve their ability to detect fake news. IMPLICATIONS FOR HEALTH POLICY: Well-informed nurses are essential for providing the public with accurate and reliable information. In this way, public health can be promoted, and individuals' quality of life can be improved.

Indexed as

Attitude of Health PersonnelCommunicationInternetAdultCross-Sectional StudiesDigital MediaFemaleGreeceHumansMaleMiddle AgedSelf ReportSurveys and Questionnairesfake newshealth misinformationmedical misinformationnursesscientistssusceptibilitytrust

Identifiers

PMID42683609
PMCPMC13535901

What Socratic holds

Textmetadata
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 Socratic graph.