ArticleTheScientificWorldJournal2024
Medical Error Prevalence, Nursing Power, and Structural Empowerment: A Serial Mediation Analysis.
Article in TheScientificWorldJournal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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
2 citing papers in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To investigate how structural empowerment and power may contribute to and predict the reduction of medical errors. Background: Medical errors threaten patient well-being, leading to adverse outcomes. Improving work conditions holds promise for reducing medical errors among nurses. Methods: A multisite correlational cross-sectional design was utilized. Data were completed by 375 nurses from four hospitals in Jordan. Data collection occurred between September and November 2023 using sociodemographic, structural empowerment, and medical error questionnaires. The study employed descriptive statistics, Pearson Results: Pearson
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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.