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To examine the relationships between nurses' exposure to workplace violence and self-reports of workplace cognitive failure.
A cross-sectional study.
An online questionnaire was administered in April 2023 to nurses in Michigan, US. Structural equation modelling was used to examine effects of physical and non-physical workplace violence (occupational stressors) and work efficiency and competence development (occupational protective factors) on workplace cognitive failure.
Physical violence was a significant predictor of the action subscale of cognitive failure. There were no direct effects of non-physical violence, workplace efficiency, or competence development on any of the workplace cognitive failure dimensions. Both types of violence and efficiency had significant indirect effects on workplace cognitive failure via work-related exhaustion. Work-related exhaustion predicted significantly higher scores for workplace cognitive failure.
Workplace violence and work efficiency exhibited primarily indirect effects on workplace cognitive failure among nurses via work-related exhaustion.
Nurses experiencing workplace violence may be at increased risk for workplace cognitive failure, especially if they are also experiencing work-related exhaustion. Workplaces that nurses perceive as more efficient can help to mitigate the effects of violence on nurses' cognitive failure.
This study addressed the possible effects of workplace violence as well as work efficiency and competence development on nurses' cognitive failure at work. Analyses revealed primarily indirect effects of workplace violence, and indirect protective effects of work efficiency, on nurses' cognitive failure via work-related exhaustion. This research has implications for healthcare organizations and suggests that efforts made by healthcare workplaces to prevent violence and work-related exhaustion, and to enhance work efficiency, may help to mitigate workplace cognitive failure among nurses.
We have followed the STROBE checklist in reporting this study.
No Patient or public contribution.
Paramount to patient safety is the ability for nurses to make clinical decisions free from human error. Yet, the dynamic clinical environment in which nurses work is characterized by uncertainty, urgency, and high consequence, necessitating that nurses make quick and critical decisions. The aim of this study was to examine the influence of human and environmental factors on the decision to administer among new graduate nurses in response to alert generation during bar code–assisted medication administration. The design for this study was a descriptive, longitudinal, observational cohort design using EHR audit log and administrative data. The study was set at a large, urban medical center in the United States and included 132 new graduate nurses who worked on adult, inpatient units. Research variables included human and environmental factors. Data analysis included descriptive and inferential analyses. This study found that participants continued with administration of a medication in 90.75% of alert encounters. When considering the response to an alert, residency cohort, alert category, and previous exposure variables were associated with the decision to proceed with administration. It is important to continue to study factors that influence nurses' decision-making, particularly during the process of medication administration, to improve patient safety and outcomes. The aim of this study was to describe medication administration and alert patterns among a cohort of new graduate nurses over the first year of practice. Medical errors related to clinical decision-making, including medication administration errors, may occur more frequently among new graduate nurses. To better understand nursing workflow and documentation workload in today's clinical environment, it is important to understand patterns of medication administration and alert generation during barcode-assisted medication administration. Study objectives were addressed through a descriptive, longitudinal, observational cohort design using secondary data analysis. Set in a large, urban medical center in the United States, the study sample included 132 new graduate nurses who worked on adult, inpatient units and administered medication using barcode-assisted medication administration. Data were collected through electronic health record and administration sources. New graduate nurses in the sample experienced a total of 587 879 alert and medication administration encounters, administering 772 unique medications to 17 388 unique patients. Nurses experienced an average medication workload of 28.09 medications per shift, 3.98% of which were associated with alerts, over their first year of practice. In addition to high volume of medication administration, new graduate nurses administer many different types of medications and are exposed to numerous alerts while using barcode-assisted medication administration. To explore and summarise the literature on the concept of ‘clinical deterioration’ as a nurse-sensitive indicator of quality of care in the out-of-hospital context.
The scoping review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review and the JBI best practice guidelines for scoping reviews.
Studies focusing on clinical deterioration, errors of omission, nurse sensitive indicators and the quality of nursing and midwifery care for all categories of registered, enrolled, or licensed practice nurses and midwives in the out-of-hospital context were included regardless of methodology. Text and opinion papers were also considered. Study protocols were excluded.
Data bases were searched from inception to June 2022 and included CINAHL, PsychINFO, MEDLINE, The Allied and Complementary Medicine Database, EmCare, Maternity and Infant Care Database, Australian Indigenous HealthInfoNet, Informit Health and Society Database, JSTOR, Nursing and Allied Health Database, RURAL, Cochrane Library and Joanna Briggs Institute.
Thirty-four studies were included. Workloads, education and training opportunities, access to technology, home visits, clinical assessments and use of screening tools or guidelines impacted the ability to recognise, relay information and respond to clinical deterioration in the out-of-hospital setting.
Little is known about the work of nurses or midwives in out-of-hospital settings and their recognition, reaction to and relay of information about patient deterioration. The complex and subtle nature of non-acute deterioration creates challenges in defining and subsequently evaluating the role and impact of nurses in these settings.
Further research is needed to clarify outcome measures and nurse contribution to the care of the deteriorating patient in the out-of-hospital setting to reduce the rate of avoidable hospitalisation and articulate the contribution of nurses and midwives to patient care.
Factors that impact a nurse's ability to recognise, relay information and respond to clinical deterioration in the out-of-hospital setting are not examined to date.
A range of factors were identified that impacted a nurse's ability to recognise, relay information and respond to clinical deterioration in the out-of-hospital setting including workloads, education and training opportunities, access to technology, home visits, clinical assessments, use of screening tools or guidelines, and avoidable hospitalisation.
Where and on whom will the research have an impact?
Nurses and nursing management will benefit from understanding the factors that act as barriers and facilitators for effective recognition of, and responding to, a deteriorating patient in the out-of-hospital setting. This in turn will impact patient survival and satisfaction.
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review guidelines guided this review. The PRISMA-Scr Checklist (Tricco et al., 2018) is included as (supplementary file 1).Data sharing is not applicable to this article as no new data were created or analysed in this study.”
Not required as the Scoping Review used publicly available information.
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