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Vaccine Coverage and Hesitancy · Journal article
International Nursing Review · September 1, 2026
Early or partial results. Treat as a signal, not a conclusion.
This cross-sectional survey examined associations between demographic factors, trust in scientists, and self-reported online health misinformation susceptibility among nurses in Greece using validated scales. The study reports three associations—perceived scientist integrity, higher education (MSc/PhD), and political interest—but does not provide effect sizes, confidence intervals, or statistical significance values needed to judge the magnitude or reliability of these associations.
Cross-sectional survey study. Nurses in Greece; eligibility criteria and recruitment method not specified in abstract. Intervention: None; observational study examining associations. Greece.
Nurses' perceived integrity of scientists showed negative association with online health misinformation susceptibility Nurses with MSc/PhD diploma had lower levels of misinformation susceptibility Interest in politics was associated with lower misinformation susceptibility
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
The findings identify potential characteristics of nurses at higher risk for misinformation susceptibility, suggesting that education level and trust in scientists may be intervention targets. However, without effect sizes or statistical testing data, the clinical or professional relevance of these associations cannot be quantified.
Cross-sectional survey study identifying associations between demographic factors and misinformation susceptibility in nurses, but without effect sizes, confidence intervals, or statistical significance reporting; descriptive and exploratory in nature.
As stated by the source record.
The findings identify potential characteristics of nurses at higher risk for misinformation susceptibility, suggesting that education level and trust in scientists may be intervention targets. However, without effect sizes or statistical testing data, the clinical or professional relevance of these associations cannot be quantified.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
What is missing. This record has no reported figures. That is a gap in the analysis, not a judgement about the study.
AIM: We 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. BACKGROUND: The ability to identify and counteract misinformation in healthcare is more critical than ever to safeguard public health and maintain confidence in evidence-based practices. METHODS: For 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. RESULTS: We 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. CONCLUSION: Our 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.
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