Back to search

Article

Influence of nursing time and staffing on medical errors: A cross-sectional analysis of administrative data

2024-03-28

Abstract excerpt

<title>Abstract</title> <p>Background Medical errors cause adverse events; however, no studies have examined medical errors related to nursing hours considering unit characteristics in Japan. We investigated medical errors mainly caused by nurses to quantitatively assess ward activity as busyness in nursing duties. Methods This study considered patients hospitalized in general wards of 10 National Hospital Orga...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1f852ae8-4988-5e46-9e10-f938cd429323
DOI
10.21203/rs.3.rs-4140361/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Influence of nursing time and staffing on medical errors: A cross-sectional analysis of administrative dataDOI 10.21203/rs.3.rs-4140361/v1
Prevalence and contributing factors of workflow interruptions among nurses in general hospitals in Kashan, Iran: a cross-sectional studySemantic proximity
Investigating the prevalence of nurses' workflow interruptions and the factors affecting them in the general hospitals affiliated with Kashan University of Medical Sciences in 2024Semantic proximity
Staffing level in the discharge planning department and average length of stay in acute care wards: A cross-sectional study using a nationwide hospital- and ward-level data in JapanSemantic proximity
Shift Nurses’ Work Quality and Job Satisfaction After Implementing the Inha University Hospital Nursing AI Scheduling System (IH-NASS)Semantic proximity
Nursing Intervention Analysis in COVID-19 Negative Pressure Isolation Wards and General Wards: Observational studySemantic proximity
Calculation of the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross-sectional studySemantic proximity
Meta-analysis and Systematic Review of Medical Errors Across Specialties: Bridging the Gap with International Perspectives and RecommendationsSemantic proximity
The impact of COVID-19 on nurse staffing levels and healthcare- associated infections in medical institutions: A retrospective cohort studySemantic proximity
The relationship between staffing and adverse events in Washington State hospitals: a cross-sectional study using linked hospital dataSemantic proximity
Factors contributing to physician overwork in 80 Saiseikai hospitals of JapanSemantic proximity
Prevalence of occupational blood and body fluid exposure among clinical nurses in China: A nationwide cross-sectional surveySemantic proximity
Assessment of patient safety culture among nurses in Djibouti: a multicentric studySemantic proximity
Select a neighboring publication to make it the new centre.