ArticleThe Journal of nursing administration2018
Relationship of Staff Information Sharing and Advice Networks to Patient Safety Outcomes.
Article in The Journal of nursing administration, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed, 14 citations in OpenAlex.
- Aspects of Patient Safety Culture Most Associated With Employees' Overall Rating of Patient Safety and Whether Employees Reported Safety Events: Overall and for Hospitals Predominantly Serving Black Patients.Journal of patient safety · 2025Article
- Influence of perceptions of reporting nurses' medical errors and patient safety culture on patient safety nursing practices in Korea: a cross-sectional study.Journal of Korean biological nursing science · 2025Article
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Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThe aim of this study was to compare information sharing and advice networks' relationships with patient safety outcomes.
backgroundCommunication contributes to medical errors, but rarely is it clear what elements of communication are key.
methodsWe investigated relationships of information-sharing and advice networks to patient safety outcomes in 24 patient care units from 3 hospitals over 7 months. Web-based questionnaires completed via Android tablets provided data to create 2 networks using ORA, a social network analysis application. Each hospital provided nurse-sensitive patient safety outcomes.
resultsIn both networks, medication errors correlated positively with node count and average distance and negatively with clustering coefficient. Density and weighted density negatively correlated with medication errors and falls in both networks. Eigenvector and total degree centrality correlated negatively with both safety outcomes, whereas betweenness centrality positively related to falls in the information-sharing network.
conclusionTechnology-enabled social network analysis data collection is feasible and can provide managers actionable system-level information.
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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.