Save Your Back: Comparison of the Compressive Force on the Lower Back Based on Differences in the Training Techniques.

INTRODUCTION: Musculoskeletal injury prevention for nurses is aimed at removing the need to manually position patients. In the ED, this is not always possible or practical. The purpose of this study is to compare the calculated estimated compressive force on the lumbar spine between recommended lifting techniques and the SHAPE lifting method during the horizontal transfer of a patient. METHODS: Twenty-one student nurses completed the horizontal transfer of a simulated patient while motion was collected using inertial measurement units. Motion data were analyzed to calculate an estimated compressive force on the lumbar spine while completing the movement based on current recommended lifting methods and while using the SHAPE lifting method. RESULTS: A significant reduction in estimated peak and average compressive force at the lumbar spine was found during both the push and the pull portions (P < .001) of the horizontal transfer. DISCUSSION: While the optimal way to limit musculoskeletal injury among nurses is to eliminate the need for manual handling of a patient, this is not always possible in the ED. It is critical that when emergency nurses must reposition a patient, they perform the movement in the most biomechanically sound method while using a friction reduction. These findings, coupled with the previous biomechanical risk factor reduction related to the SHAPE lifting intervention, gives promise to a safer lifting strategy for emergency nurses moving forward.

What if It Were Me? A Qualitative Exploratory Study of Emergency Nurses' Clinical Decision Making Related to Obstetrical Emergencies in the Context of a Post-Roe Environment.

INTRODUCTION: Previous research describes a significant knowledge deficit in obstetrical care in emergency settings. In a post-Roe environment, additional medicolegal challenges are documented across the obstetrics and gynecology landscape, but an understudied care setting is the emergency department, where patients may present to a practice environment where there is limited or no obstetrical care available. It is unknown how emergency nurses make decisions around these types of presentations. The purpose of this study was to explore the clinical decision-making processes of emergency nurses in the care of patients with obstetrical emergencies in the context of limited or absent access to abortion care and the impact of those processes on patient care. METHODS: Qualitative exploratory approach using interview data (n = 13) and situational analysis was used. RESULTS: Situational mapping uncovered human elements comprised nurses, providers, pregnant people, and families; nonhuman elements comprised legislation, education, and legal understanding. Social worlds mapping included challenges of inexperience, conflict about clinical responsibility, uncertainty about the meaning of legislation, and passivity around implications for patient care. Positional mapping yielded both the overlapping discourses around the phenomenon of interest and the area of silence around abortion-limiting legislation. DISCUSSION: We found that emergency nurses in states with abortion care-limiting laws had significant self-reported deficits in both education and training around the management of obstetrical emergencies. In this sample, there was a surprising lack of awareness of care-limiting legislation and the clinical, ethical, and legal implications for both emergency care staff and for patients.

Proof of Concept Testing of Safe Patient Handling Intervention Using Wearable Sensor Technology.

BACKGROUND: Healthcare workers make up one of the occupations in the United States that experience the most musculoskeletal injuries. These injuries are often related to the movement and repositioning of patients. Despite previous injury prevention attempts, injury rates remain at an unsustainable level. The purpose of this proof-of-concept study is to provide preliminary testing of the impact of a lifting intervention on common biomechanical risk factors for injury during high-risk patient movements.; Methods: A before-and-after (quasi-experimental) design was utilized to compare biomechanical risk factors before and after a lifting intervention. Kinematic data were collected using the Xsens motion capture system, while muscle activations were collected with the Delsys Trigno EMG system. RESULTS: Improvements were noted in the lever arm distance, trunk velocity, and muscle activations during the movements following the intervention; Conclusions: The contextual lifting intervention shows a positive impact on the biomechanical risk factors for musculoskeletal injury among healthcare workers without increasing the biomechanical risk. A larger, prospective study is needed to determine the intervention's ability to reduce injuries among healthcare workers.

Comparison of Slate Safety Wearable Device to Ingestible Pill and Wearable Heart Rate Monitor.

BACKGROUND: With the increase in concern for deaths and illness related to the increase in temperature globally, there is a growing need for real-time monitoring of workers for heat stress indicators. The purpose of this study was to determine the usability of the Slate Safety (SS) wearable physiological monitoring system. METHODS: Twenty nurses performed a common task in a moderate or hot environment while wearing the SS device, the Polar 10 monitor, and having taken the e-Celsius ingestible pill. Data from each device was compared for correlation and accuracy. RESULTS: High correlation was determined between the SS wearable device and the Polar 10 system (0.926) and the ingestible pill (0.595). The SS was comfortable to wear and easily monitored multiple participants from a distance. CONCLUSIONS: The Slate Safety wearable device demonstrated accuracy in measuring core temperature and heart rate while not restricting the motion of the worker, and provided a remote monitoring platform for physiological parameters.

Calories and control: Eating habits, behaviors, and motivations of Generation Z females.

OBJECTIVE: This qualitative phenomenological study explored eating habits, behaviors, and motivations of Gen Z females (born 1996-2002). PARTICIPANTS: Ten participants met selection criteria: female aged 18-24 (thus, part of Gen Z), enrolled full-time at the University and able to share experiences. Maximum variation was sought for race/ethnicity, Greek life/sorority involvement and hometown regional area. METHODS: Semi-structured interviews elicited detailed descriptions of lived experiences. Data consisted of five face-to-face interviews and five Internet-based teleconferenced interviews. Saldana's First Cycle/Second Cycle constant comparative method was used for data analysis. RESULTS: Four themes and four subthemes were identified: Blurred Lines (healthy versus disordered behaviors), Rationalizing Behaviors (Denial), Technological Influences (Social Media; Self-Worth), and Pandemic Influence. CONCLUSION: Gen Z represents a pivotal population with diverse characteristics. These findings are helpful to health professionals, faculty, academic administrators, and others with vested interests in promoting healthier living, learning and work environments for this population.

The Experiences of United States Emergency Nurses Related to Witnessed and Experienced Bias: A Mixed-Methods Study.

INTRODUCTION: The purpose of this study was to obtain a broad view of the knowledge, attitudes, beliefs, and lived experiences of emergency nurses regarding implicit and explicit bias. METHODS: An exploratory, descriptive, sequential mixed-methods approach using online surveys and focus groups to generate study data. Two validated instruments were incorporated into the survey to evaluate experiences of microaggression in the workplace and ethnocultural empathy. Focus group data were collected using Zoom meetings. RESULTS: The final sample comprised 1140 participants in the survey arm and 23 focus group participants. Significant differences were found in reported experiences of institutional, structural, and personal microaggressions for non-white vs white participants. Respondents who identified Christianity as their religious group had lower mean scores on items representing empathetic awareness. Respondents who identified as nonheterosexual had significantly higher mean total Scale of Ethnocultural Empathy scores, empathetic awareness subscale scores, and empathetic feeling and expression subscale scores. Thematic categories that arose from the focus group data included witnessed bias, experienced bias, responses to bias, impact of bias on care, and solutions. DISCUSSION: In both our survey and focus group data, we see evidence that racism and other forms of bias are threats to safe patient care. We challenge all emergency nurses and institutions to reflect on the implicit and explicit biases they hold and to engage in purposeful learning about the effects of individual and structural bias on patients and colleagues. We suggest an approach that favors structural analysis, intervention, and accountability.

Determining Clinical Judgment Among Emergency Nurses During a Complex Simulation.

INTRODUCTION: Clinical judgment is imperative for the emergency nurse caring for the acutely ill patients often seen in the emergency department. Without optimal clinical judgment in the emergency department, patients are at risk of medical errors and a failure to rescue. METHODS: A descriptive observational approach using the Lasater Clinical Judgment Rubric evaluated nurses during a task that required recognition of clinical signs of deterioration and appropriate clinical care for simulated patients. RESULTS: A total of 18 practicing emergency nurses completed only 44.6% of the patient assessments leading to low levels of clinical judgment throughout the simulation. Nurses expressed 4 levels of clinical judgment: exemplary (n = 1), accomplishing (n = 6), developing (n = 9), and beginning (n = 2). On average, nurses completed 69% of required tasks. DISCUSSION: Assessments were completed less than half the time, demonstrating a breakdown in the noticing phase of clinical judgment. The nurses shifted to task completion focus with minimal use of clinical judgment. As the nurses remained task oriented, several medication and medical errors were noted while caring for the simulated patients. Experience and education did not influence observed clinical judgment among the participants. Given the extreme demands placed on the emergency nurse, it cannot be assumed that nurses have developed or can use clinical judgment when caring for their patients. Time and training targeting clinical judgment are essential for emergency nurse development.

"Black out or back out": Understanding the alcohol habits, behaviors, and motivations of generation Z students.

OBJECTIVE: This qualitative phenomenological study explored alcohol habits, behaviors, and motivations of Gen Z students (born 1996-2010). Participants: Thirteen participants met selection criteria: aged 18-24 years (thus, part of Gen Z), enrolled as at either the University or community college, and able to share experiences. Maximum variation was sought for race/ethnicity, Greek life/sorority involvement and hometown regional area. Methods: Semi-structured interviews elicited detailed descriptions of lived experiences. Saldana's First Cycle/Second Cycle constant comparative method was used for data analysis. Results: Five themes were identified: Motivations to Drink, Know My Limits, Exceeding Limits Leads to Risky Behaviors, Hangover Anxiety ("Hangxiety"), and Greek Life Influence. Additionally, the subtheme Internal Thoughts and Rationalizations was identified. Conclusion: Unique characteristics and unprecedented times contribute to alcohol consumption behaviors of Gen Z students. These findings hold an awareness to assist in the provision of education, support, and needed resources.

Role and Training of Emergency Department Charge Nurses: A Mixed Methods Analysis of Processes, Needs, and Expectations.

INTRODUCTION: Charge nurses (CNs) are shift leaders who manage resources and facilitate patient care, yet CNs in EDs receive minimal training, with implications for patient safety and emergency nursing practice. The purpose of the study was to describe the experiences of emergency nurses related to training, preparation, and function of the CN role. METHODS: An explanatory sequential mixed methods design using survey data (n = 2579) and focus group data (n = 49) from both CN and staff nurse perspectives. RESULTS: Participants reported minimal training for the CN role, with divergent understandings of role, required education and experience, the need for situational awareness, and the acceptability of the CN taking on other duties. CONCLUSIONS: The ED CN is critical to the safety of both nursing environment and patient care. Nurses in this pivotal role do not receive adequate leadership orientation or formal training in the key areas of nurse patient assignment, communication, and situational awareness. Formal training in nurse-patient assignment, communication, and situational awareness are critical to appropriate patient care and maintenance of interprofessional trust necessary for successful execution of the CN role. ED nurse managers should advocate for this training.

Empirical Study on Human Movement Classification Using Insole Footwear Sensor System and Machine Learning.

This paper presents a plantar pressure sensor system (P2S2) integrated in the insoles of shoes to detect thirteen commonly used human movements including walking, stooping left and right, pulling a cart backward, squatting, descending, ascending stairs, running, and falling (front, back, right, left). Six force sensitive resistors (FSR) sensors were positioned on critical pressure points on the insoles to capture the electrical signature of pressure change in the various movements. A total of 34 adult participants were tested with the P2S2. The pressure data were collected and processed using a Principal Component Analysis (PCA) for input to the multiple machine learning (ML) algorithms, including k-NN, neural network and Support-Vector Machine (SVM) algorithms. The ML models were trained using four-fold cross-validation. Each fold kept subject data independent from other folds. The model proved effective with an accuracy of 86%, showing a promising result in predicting human movements using the P2S2 integrated in shoes.

Lower Body Joint Angle Prediction Using Machine Learning and Applied Biomechanical Inverse Dynamics.

Extreme angles in lower body joints may adversely increase the risk of injury to joints. These injuries are common in the workplace and cause persistent pain and significant financial losses to people and companies. The purpose of this study was to predict lower body joint angles from the ankle to the lumbosacral joint (L5S1) by measuring plantar pressures in shoes. Joint angle prediction was aided by a designed footwear sensor consisting of six force-sensing resistors (FSR) and a microcontroller fitted with Bluetooth LE sensors. An Xsens motion capture system was utilized as a ground truth validation measuring 3D joint angles. Thirty-seven human subjects were tested squatting in an IRB-approved study. The Gaussian Process Regression (GPR) linear regression algorithm was used to create a progressive model that predicted the angles of ankle, knee, hip, and L5S1. The footwear sensor showed a promising root mean square error (RMSE) for each joint. The L5S1 angle was predicted to be RMSE of 0.21° for the X-axis and 0.22° for the Y-axis, respectively. This result confirmed that the proposed plantar sensor system had the capability to predict and monitor lower body joint angles for potential injury prevention and training of occupational workers.

Ankle Angle Prediction Using a Footwear Pressure Sensor and a Machine Learning Technique.

Ankle injuries may adversely increase the risk of injury to the joints of the lower extremity and can lead to various impairments in workplaces. The purpose of this study was to predict the ankle angles by developing a footwear pressure sensor and utilizing a machine learning technique. The footwear sensor was composed of six FSRs (force sensing resistors), a microcontroller and a Bluetooth LE chipset in a flexible substrate. Twenty-six subjects were tested in squat and stoop motions, which are common positions utilized when lifting objects from the floor and pose distinct risks to the lifter. The kNN (k-nearest neighbor) machine learning algorithm was used to create a representative model to predict the ankle angles. For the validation, a commercial IMU (inertial measurement unit) sensor system was used. The results showed that the proposed footwear pressure sensor could predict the ankle angles at more than 93% accuracy for squat and 87% accuracy for stoop motions. This study confirmed that the proposed plantar sensor system is a promising tool for the prediction of ankle angles and thus may be used to prevent potential injuries while lifting objects in workplaces.

Development and Feasibility Testing of a Contextual Patient Movement Intervention.

INTRODUCTION: Nurses and emergency medical services workers frequently suffer musculoskeletal injuries at a disproportionate rate in relation to the rest of the population. The most common form of this musculoskeletal injury is lumbar spine injury. The purpose of this study was to develop and conduct phase 1 feasibility testing of a contextual lifting intervention that reduces the risks of low back injury. METHODS: This study was an intervention development and phase 1 feasibility test. The intervention was created on the basis of weightlifting techniques to specifically reduce the incidence injury related to valgus knee, asymmetrical lifting technique, and rotation of the trunk and pelvis. Motion capture technology (Xsens; Xsens Technologies) was used while 17 nursing students completed the direct patient lift from the floor, the lift from the floor with a manikin attached to a rigid spine board, the push portion of the horizontal transfer, and the pull portion of the horizontal transfer. Pre- and postintervention data were collected. Linear mixed model regression, with pairwise comparisons, was conducted for each lift at the time points of preintervention, immediately after the intervention, and 1-month postintervention. RESULTS: Significant changes were noted between the initial lifting techniques used and those used after the intervention. The maximum lever arm distance, defined as the distance from L5-S1 to the center of the force applied to the load, showed a significant reduction after the intervention in 3 of the 4 movements. DISCUSSION: Our results support the idea that injury risk can be reduced through appropriate contextual training methods.

Multiple malignant salivary gland neoplasms: mucoepidermoid carcinoma of palate and adenoid cystic carcinoma of floor of mouth.

Salivary gland tumors usually occur as single lesions. To have more than one tumor is unusual. We report a case of an adult male who presented with a mucoepidermoid carcinoma involving the minor salivary glands of the palate at age 57 years, followed by an adenoid cystic carcinoma of the floor of mouth at age 63 years. The patient later succumbed to non-Hodgkin lymphoma at age 72 years. There are 31 acceptable cases of multiple malignant salivary gland neoplasms reported in the world literature. Multiple malignant tumors of the same histologic type are more common than those of different histologic type. Bilateral acinic cell adenocarcinoma was the most frequent combination of multiple salivary gland malignancy, accounting for 14 cases (10 synchronous and four metachronous). All involved the parotid glands bilaterally with the exception of one case that involved parotid and submandibular gland. Polymorphous low-grade adenocarcinoma accounted for three of the four cases of multiple malignant tumors involving minor salivary glands. Individuals with a history of malignancy are at risk for the development of additional malignant tumors and should receive appropriate clinical follow-up.