The Relationship Between Patient Safety Culture and the Intentions of the Nursing Staff to Report a Near-Miss Event During the COVID-19 Crisis.

BACKGROUND: Reporting a near-miss event has been associated with better patient safety culture. PURPOSE: To examine the relationship between patient safety culture and nurses' intention to report a near-miss event during COVID-19, and factors predicting that intention. METHODS: This mixed-methods study was conducted in a tertiary medical center during the fourth COVID-19 waves in 2020-2021 among 199 nurses working in COVID-19-dedicated departments. RESULTS: Mean perception of patient safety culture was low overall. Although 77.4% of nurses intended to report a near-miss event, only 20.1% actually did. Five factors predicted nurses' intention to report a near-miss event; the model explains 20% of the variance. Poor departmental organization can adversely affect the intention to report a near-miss event. CONCLUSIONS: Organizational learning, teamwork between hospital departments, transfers between departments, and departmental disorganization can affect intention to report a near-miss event and adversely affect patient safety culture during a health crisis.

The effects of COVID-19 pandemic on patients with lower extremity peripheral arterial disease: A near miss disaster.

BACKGROUND: The COVID-19 pandemic has led to widespread postponement and cancelation of elective vascular surgeries in Switzerland. The consequences of these decisions are poorly understood. PATIENTS AND METHODS: In this observational, retrospective, single-center cohort study, we describe the impact of COVID-19 pandemic containment strategies on patients with lower extremity peripheral arterial disease (PAD) referred during the period March 11, to May 11, 2020, compared to the same time frames in 2018 to 2019. Patients admitted for acute limb ischemia (ALI) or chronic PAD and undergoing urgent or elective vascular surgery or primary amputation were included. Patients' characteristics, indications for admission, and surgical features were analyzed. The occurrence of 30 day outcomes was assessed, including length of stay, rates of major adverse cardiovascular events (MACE) and major adverse limb events (MALE), and procedural and hemodynamic success. RESULTS: Overall, 166 patients were included. Fewer subjects per 10 day period were operated in 2020 compared to, 2018 to 2019 (6.7 vs. 10.5, respectively; P < 0.001). The former had higher rates of chronic obstructive pulmonary disease (COPD) (25% vs. 11.1%; P = 0.029), and ASA score (3.13 vs. 2.90; P = 0.015). The percentage of patients with ALI in 2020 was about double that of the same period in 2018 to 2019 (47.5% vs. 24.6%; P = 0.006). Overall, the types of surgery were similar between 2020 and 2018 to 2019, while palliative care and primary amputations occurred only in 2020 (5 out 40 cases). The rate of post-operative MACE was significantly higher in 2020 (10% vs. 2.4%; P = 0.037). CONCLUSIONS: During the first state of emergency for COVID-19 pandemic in 2020, less regular medical follow-up and hindered hospital access could have resulted in more acute and advanced clinical presentations of patients with PAD undergoing surgery. Guidelines are needed to provide appropriate care to this vulnerable population and avoid a large-scale disaster.

Nurse's Achilles Heel: Using Big Data to Determine Workload Factors That Impact Near Misses.

PURPOSE: To explore how big data can be used to identify the contribution or influence of six specific workload variables: patient count, medication count, task count call lights, patient sepsis score, and hours worked on the occurrence of a near miss (NM) by individual nurses. DESIGN: A correlational and cross-section research design was used to collect over 82,000 useable data points of historical workload data from the three unique systems on a medical-surgical unit in a midsized hospital in the southeast United States over a 60-day period. Data were collected prior to the start of the Covid-19 pandemic in the United States. METHODS: Combined data were analyzed using JMP Pro version 12. Mean responses from two groups were compared using a t-test and those from more than two groups using analysis of variance. Logistic regression was used to determine the significance of impact each workload variable had on individual nurses' ability to administer medications successfully as measured by occurrence of NMs. FINDINGS: The mean outcome of each of the six workload factors measured differed significantly (p < .0001) among nurses. The mean outcome for all workload factors except the hours worked was found to be significantly higher (p < .0001) for those who committed an NM compared to those who did not. At least one workload variable was observed to be significantly associated (p < .05) with the occurrence or nonoccurrence of NMs in 82.6% of the nurses in the study. CONCLUSIONS: For the majority of the nurses in our study, the occurrence of an NM was significantly impacted by at least one workload variable. Because the specific variables that impact performance are different for each individual nurse, decreasing only one variable, such as patient load, will not adequately address the risk for NMs. Other variables not studied here, such as education and experience, might be associated with the occurrence of NMs. CLINICAL RELEVANCE: In the majority of nurses, different workload variables increase their risk for an NM, suggesting that interventions addressing medication errors should be implemented based on the individual's risk profile.