Consistently Exploring Nurse Staffing and Neurocritical Care Unit Turnover.

ABSTRACT: BACKGROUND: Staffing models within nursing units have long been a hot topic of discussion. The COVID-19 pandemic exacerbated this discussion by straining the national nursing environment and workforce. Before the pandemic, the neuroscience intensive care unit (NSICU) primarily used an acuity-adjusted staffing model and aimed for a nurse-to-patient ratio of 1:1.5. During and after the pandemic, the NSICU was forced to primarily use a centralized staffing model because of the increased turnover in the hospital at large and a rise in patient census. METHODS : Unit census data in an NSICU were tracked before, during, and after the pandemic alongside utilization of a centralized staffing model in the hospital at large. RESULTS : During this time, the NSICU saw a statistically significant increase in average nurse-to-patient ratio and incidences of both floating and tripled assignments. The NSICU simultaneously saw a 180% increase in nursing turnover. CONCLUSION : Although we cannot prove that a centralized staffing model is directly responsible for higher nursing turnover, its utilization led to greater incidence of poor staffing-reflected in deviation from the nurse-to-patient ratio goal of the unit. Nurse staffing concerns play a large role in nurse satisfaction in the workforce: staffing shortages have been described both as a precursor to and as a consequence of increased nursing turnover.

Multidisciplinary Teamwork Perceptions When Mobilizing Ventilated Neurosurgery Patients.

ABSTRACT: BACKGROUND: Multidisciplinary teamwork is essential in delivering holistic care to critically ill populations, including ventilated neurosurgery patients. Although it is considered a safe and feasible aspect of patient care, mobilization is often missed in this population because of negative healthcare provider perceptions regarding barriers and patient safety. Nurse-led teamwork has been suggested to overcome these barriers and to achieve earlier mobilization for patients, as well as positive provider perceptions, which may affect the culture and frequency of mobilization on neurointensive care units. Quantitative studies analyzing multidisciplinary teamwork perceptions to mobilize ventilated neurosurgery patients with or without a nurse-led protocol have not been previously conducted. Analyzing such perceptions may provide insight to team-related barriers related to missed mobility. This pilot quasi-experimental study aimed to determine whether the use of a nurse-led mobility protocol affects teamwork perceptions when mobilizing ventilated neurosurgery patients. METHODS: A sample of multidisciplinary teams, composed of nurses, patient care technicians, and respiratory therapists, mobilized ventilated neurosurgery patients according to either standard of care (for the control group) or a nurse-led mobility protocol (for the interventional group). Teamwork perceptions were measured via the reliable and valid Nursing Teamwork Survey tool. RESULTS: Linear mixed model analyses revealed that multidisciplinary teams in the nurse-led mobility protocol group had significantly higher levels of overall perceived teamwork than those in the control group, t3 = -3.296, P = .038. Such differences were also noted for teamwork variables of team leadership and mutual trust. CONCLUSION: Nurse-led mobility protocols should be considered to increase teamwork when performing multidisciplinary teamwork-based mobility for ventilated neurosurgery patients. Future studies should continue to evaluate teamwork perceptions after nurse-led mobility.

Reflections on Nursing Ingenuity During the COVID-19 Pandemic.

INTRODUCTION: This reflections article provides insight toward nursing innovations to reduce the overuse of personal protective equipment while maintaining a safe environment for staff taking care of COVID-19 patients. The secondary aim of this article to capitalize on recent advances in mass electronic communication through social media to encourage nurses across the globe to share their knowledge and expertise during this pandemic. INNOVATIONS: The many innovations that have been implemented fall into 3 categories of reducing unnecessary use of personal protective equipment, promoting staff safety and readiness, and reducing foot traffic. SUMMARY: These strategies are being shared to promote dissemination of innovative nursing interventions that will save lives during the COVID-19 pandemic.

Efficacy of Using Available Data to Examine Nurse Staffing Ratios and Quality of Care Metrics.

BACKGROUND: Nurse staffing ratios impact both the quality and safety of care on a particular unit. Most hospitals have access to a large volume of nurse-sensitive outcomes. We hypothesized that these data could be used to explore the impact of changing the nurse-to-patient ratio on patient-reported outcomes, nurse satisfaction scores, and quality of care metrics. METHODS: Retrospective data from hospital resources (eg, Press Ganey reports) were linked to daily staffing records (eg, assignment sheets) in a pre-post study. Before September 2017, the nurse-to-patient ratio was 1:1.75 (pre); afterward, the ratio was reduced to 1:1.5 (post). RESULTS: Press Ganey National Database of Nursing Quality Indicators scores were improved, staffing turnover rates were reduced, and falls were linked to periods of high nurse-to-patient ratios. CONCLUSION: This study shows the efficacy of using readily available metrics to explore for associations between nurse staffing and nurse-sensitive outcomes at the nursing care unit level. This provides a unique perspective to optimize staffing ratios based on personalized (unit-level) metrics.

Establishing Normative Data for Pupillometer Assessment in Neuroscience Intensive Care: The "END-PANIC" Registry.

BACKGROUND: Trained medical practitioners have been assessing the pupillary light reflex for more than 2 millennia. However, the interrater reliability of the pupillary light reflex remains low. To overcome the drawbacks of a subjective interpretation of pupillary size and reactivity, automated pupillometers are becoming increasingly commonplace, but practitioners do not have adequate data from which to judge whether the numerical values provided by the pupillometer are "within reference limits." METHODS: This article details the methods used to create an extensive database of automated pupillometer readings and associated patient data (eg, intracranial pressure). DISCUSSION/CONCLUSIONS: The "Establishing Normative Data for Pupillometer Assessments in Neuroscience Intensive Care" Registry will provide a large data set of pupillary size, reactivity, and speed of contraction in a cohort of patients admitted to a neuroscience intensive care unit with a variety of conditions. Analysis of this data set will help establish normative data for pupillometer readings for neurologically impaired patients. Exploratory analysis of this data set may also provide preliminary hypothesis generating data for future prospective studies on pupillary findings and trends in acute neurological conditions.