ArticleJournal of clinical nursing2025
Nurse judgements of hospitalized patients' safety concerns are affected by patient, nurse and event characteristics: A factorial survey experiment.
Article in Journal of clinical nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- The Impact of Assessing Patients' Sense of Security on Nurses' Intent to Report Safety Events: A Factorial Survey Experiment.Journal of advanced nursing · 2026Article
- Concern and credibility: a factorial survey experiment on nurse judgments and intent to report patient-expressed safety events.BMC nursing · 2025Article
- Nurse judgements of hospitalized patients' safety concerns are affected by patient, nurse and event characteristics: A factorial survey experiment.Journal of clinical nursing · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
aimTo test the influences of patient, safety event and nurse characteristics on nurse judgements of credibility, importance and intent to report patients' safety concerns.
designFactorial survey experiment.
methodsA total of 240 nurses were recruited and completed an online survey including demographic information and responses to eight factorial vignettes consisting of unique combinations of eight patient and event factors. Hierarchical multivariate analysis was used to test influences of vignette factors and nurse characteristics on nurse judgements.
resultsThe intraclass coefficients for nurse judgements suggest that the variation among nurses exceeded the influence of contextual vignette factors. Several significant sources of nurse variation were identified, including race/ethnicity, suggesting a complex relationship between nurses' characteristics and their potential biases, and the influence of personal and patient factors on nurses' judgements, including the decision to report safety concerns.
conclusionNurses are key players in the system to manage patient safety concerns. Variation among nurses and how they respond to scenarios of patient safety concerns highlight the need for nurse-level intervention. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Complex factors influence nurses' judgement, interpretation and reporting of patients' safety concerns. IMPACT: Understanding nurse judgement regarding patient-expressed safety concerns is critical for designing processes and systems that promote reporting. Multiple event and patient characteristics (type of event and apparent harm, and patient gender, race/ethnicity, socioeconomic status, and communication approach) as well as participant characteristics (race/ethnicity, gender, years of experience and primary hospital area) impacted participants' judgements of credibility, degree of concern and intent to report. These findings will help guide patient safety nurse education and training. REPORTING
methodSTROBE guidelines. PATIENT OR PUBLIC CONTRIBUTION: Members of the public, including patient advocates, were involved in content validation of the vignette scenarios, norming photographs used in the factorial survey and testing the survey functionality.
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What OpenQuestion holds
Registered trials
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.