Purpose: The purpose of this study was to identify human factors associated with nursing errors.
Design: Using a Delphi technique, this study used feedback from a panel of nurse experts (n = 25) on an initial qualitative survey questionnaire followed by summarizing the results with feedback and confirmation.
Methods: Synthesized factors regarding causes of errors were incorporated into a quantitative Likert-type scale, and the original expert panel participants were queried a second time to validate responses.
Findings: The list identified 24 items as most common causes of nursing errors, including swamping and errors made by others that nurses are expected to recognize and fix. The responses provided a consensus top 10 errors list based on means with heavy workload and fatigue at the top of the list.
Conclusions: The use of the Delphi survey established consensus and developed a platform upon which future study of nursing errors can evolve as a link to future solutions. This list of human factors in nursing errors should serve to stimulate dialogue among nurses about how to prevent errors and improve outcomes.
Clinical Relevance: Human and system failures have been the subject of an abundance of research, yet nursing errors continue to occur.
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http://dx.doi.org/10.1111/nuf.12178 | DOI Listing |
Nurs Res Pract
January 2025
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Unlabelled: Artificial intelligence (AI) is constantly improving the quality of medical procedures. Despite the application of AI in the healthcare industry, there are conflicting opinions among professionals, and limited research on its practical application in Saudi Arabia was conducted.
Aim: To assess the nurses' knowledge regarding the application of AI in practice at one of the Ministry of Health hospitals in Saudi Arabia.
J Med Surg Public Health
December 2024
College of Nursing, Michigan State University, Michigan, Life Science, 1355 Bogue St Room A218, East Lansing, MI 48824, USA.
In-hospital cardiac arrest (IHCA) has been understudied relative to out-of-hospital cardiac arrest. Further, studies of IHCA have mainly focused on a limited number of pre-arrest patient characteristics (e.g.
View Article and Find Full Text PDFInt J Nurs Stud Adv
June 2025
Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare (IQ Health), Radboud University Medical Center, Kapittelweg 54, 6525 EP Nijmegen, The Netherlands.
Background: Evidence-based practice (EBP) is crucial for appropriate, effective, and affordable care. Despite EBP education, barriers like low self-efficacy and outcome expectancy limit nurses' engagement in EBP. Reliable scales are essential to evaluate interventions aimed at improving self-efficacy and outcome expectancy in EBP.
View Article and Find Full Text PDFHeliyon
January 2025
The First Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou City, Guangdong Province, 515000, China.
Background: Due to their young age and limited ability to communicate, pediatric patients in internal medicine wards are at risk of nursing assessment errors, which can lead to adverse events and disputes.
Objective: To explore the application effect of modified pediatric early warning score (PEWS) in the early identification of critically ill children in pediatric general wards.
Design: A single-blind, two-arm randomized controlled trial was conducted using a convenience sampling method.
Palliat Support Care
January 2025
Department of Thanatology and Health Counseling, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
Objectives: Supporting family caregivers (FCs) is a critical core function of palliative care. Brief, reliable tools suitable for busy clinical work in Taiwan are needed to assess bereavement risk factors accurately. The aim is to develop and evaluate a brief bereavement scale completed by FCs and applicable to medical staff.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!