CE: Breaking Through the Bottleneck: Acuity Adaptability in Noncritical Trauma Care.

BACKGROUND: Achieving efficient throughput of patients is a challenge faced by many hospital systems. Factors that can impede efficient throughput include increased ED use, high surgical volumes, lack of available beds, and the complexities of coordinating multiple patient transfers in response to changing care needs. Traditionally, many hospital inpatient units operate via a fixed acuity model, relying on multiple intrahospital transfers to move patients along the care continuum. In contrast, the acuity-adaptable model allows care to occur in the same room despite fluctuations in clinical condition, removing the need for transfer. This model has been shown to be a safe and cost-effective approach to improving throughput in populations with predictable courses of hospitalization, but has been minimally evaluated in other populations, such as patients hospitalized for traumatic injury. PURPOSE: This quality improvement project aimed to evaluate implementation of an acuity-adaptable model on a 20-bed noncritical trauma unit. Specifically, we sought to examine and compare the pre- and postimplementation metrics for throughput efficiency, resource utilization, and nursing quality indicators; and to determine the model's impact on patient transfers for changes in level of care. METHODS: This was a retrospective, comparative analysis of 1,371 noncritical trauma patients admitted to a level 1 trauma center before and after the implementation of an acuity-adaptable model. Outcomes of interest included throughput efficiency, resource utilization, and quality of nursing care. Inferential statistics were used to compare patients pre- and postimplementation, and logistic regression analyses were performed to determine the impact of the acuity-adaptable model on patient transfers. RESULTS: Postimplementation, the median ED boarding time was reduced by 6.2 hours, patients more often remained in their assigned room following a change in level of care, more progressive care patient days occurred, fall and hospital-acquired pressure injury index rates decreased respectively by 0.9 and 0.3 occurrences per 1,000 patient days, and patients were more often discharged to home. Logistic regression analyses revealed that under the new model, patients were more than nine times more likely to remain in the same room for care after a change in acuity and 81.6% less likely to change rooms after a change in acuity. An increase of over $11,000 in average daily bed charges occurred postimplementation as a result of increased progressive care-level bed capacity. CONCLUSIONS: The implementation of an acuity-adaptable model on a dedicated noncritical trauma unit improved throughput efficiency and resource utilization without sacrificing quality of care. As hospitals continue to face increasing demand for services as well as numerous barriers to meeting such demand, leaders remain challenged to find innovative ways to optimize operational efficiency and resource utilization while ensuring delivery of high-quality care. The findings of this study demonstrate the value of the acuity-adaptable model in achieving these goals in a noncritical trauma care population.

Original Research: Breaking Through the Bottleneck: Acuity Adaptability in Noncritical Trauma Care.

BACKGROUND: Achieving efficient throughput of patients is a challenge faced by many hospital systems. Factors that can impede efficient throughput include increased ED use, high surgical volumes, lack of available beds, and the complexities of coordinating multiple patient transfers in response to changing care needs. Traditionally, many hospital inpatient units operate via a fixed acuity model, relying on multiple intrahospital transfers to move patients along the care continuum. In contrast, the acuity-adaptable model allows care to occur in the same room despite fluctuations in clinical condition, removing the need for transfer. This model has been shown to be a safe and cost-effective approach to improving throughput in populations with predictable courses of hospitalization, but has been minimally evaluated in other populations, such as patients hospitalized for traumatic injury. PURPOSE: This quality improvement project aimed to evaluate implementation of an acuity-adaptable model on a 20-bed noncritical trauma unit. Specifically, we sought to examine and compare the pre- and postimplementation metrics for throughput efficiency, resource utilization, and nursing quality indicators; and to determine the model's impact on patient transfers for changes in level of care. METHODS: This was a retrospective, comparative analysis of 1,371 noncritical trauma patients admitted to a level 1 trauma center before and after the implementation of an acuity-adaptable model. Outcomes of interest included throughput efficiency, resource utilization, and quality of nursing care. Inferential statistics were used to compare patients pre- and postimplementation, and logistic regression analyses were performed to determine the impact of the acuity-adaptable model on patient transfers. RESULTS: Postimplementation, the median ED boarding time was reduced by 6.2 hours, patients more often remained in their assigned room following a change in level of care, more progressive care patient days occurred, fall and hospital-acquired pressure injury index rates decreased respectively by 0.9 and 0.3 occurrences per 1,000 patient days, and patients were more often discharged to home. Logistic regression analyses revealed that under the new model, patients were more than nine times more likely to remain in the same room for care after a change in acuity and 81.6% less likely to change rooms after a change in acuity. An increase of over $11,000 in average daily bed charges occurred postimplementation as a result of increased progressive care-level bed capacity. CONCLUSIONS: The implementation of an acuity-adaptable model on a dedicated noncritical trauma unit improved throughput efficiency and resource utilization without sacrificing quality of care. As hospitals continue to face increasing demand for services as well as numerous barriers to meeting such demand, leaders remain challenged to find innovative ways to optimize operational efficiency and resource utilization while ensuring delivery of high-quality care. The findings of this study demonstrate the value of the acuity-adaptable model in achieving these goals in a noncritical trauma care population.

Compassion Satisfaction, Burnout, and Secondary Traumatic Stress Among Nursing Staff at an Academic Medical Center: A Cross-Sectional Analysis.

BACKGROUND: Although several studies have recently described compassion satisfaction (CS), burnout (BO), and secondary traumatic stress (STS) in nurses, few to date have examined these issues across nursing specialties. Such examination is needed to inform future nursing-subspecialty tailored interventions. AIMS: To examine (1) differences in CS, BO, and STS across nursing specialties and (2) differences associated with demographic, work-related, and behavioral factors among nurses. METHOD: A secondary analysis of survey responses from nurses (N = 350) at an academic medical center. Demographic, behavioral, work-related, and professional quality of life variables were analyzed using hierarchical regression analyses. RESULTS: CS, BO, and STS scores significantly varied across specialties with emergency nurses experiencing significantly elevated rates of BO and STS, and lowest rates of CS; scores were also differentially associated with demographic, work-related, behavioral, and workplace violence variables. CONCLUSIONS: Key differences in CS, BO, and STS by nursing specialty suggests the importance of tailoring BO and STS mitigative interventions. BO and STS risk factors should be assessed in nurses (e.g., behavioral health problems and poor sleep quality) and specialty-specific interventions (e.g., reducing workplace violence exposure in emergency settings) may be considered to improve CS while reducing BO and STS among nurses.

Health-Related Quality of Life After Polytrauma: A Systematic Review.

BACKGROUND: Following hospital discharge after traumatic injuries, many patients' rehabilitation is inhibited by poor health-related quality of life (HRQoL). OBJECTIVE: The purpose of this review is to identify factors that influence the HRQoL of polytrauma patients after hospital discharge. METHODS: A systematic literature search was performed in CINAHL and PubMed databases for English-language articles published between January 2015 and January 2020. Articles that dealt with pediatric or narrow adult populations, exclusively considered brain and spinal cord injuries, burn injuries, or isolated fractures were excluded. In total, 22 nonexperimental cohort studies were eligible for inclusion. RESULTS: Based on these studies, with minor disagreements explainable by deficient sampling, variables that impacted HRQoL fell into 11 categories: demographics, preinjury HRQoL, preexisting conditions, mental health status, injury type and location, injury severity, course of hospitalization, time after injury, financial and employment status, functional capacity, and pain. CONCLUSION: The finding with the greatest implications was that mental health, positive coping, self-efficacy, and perception of physical state significantly influence HRQoL after injury and, along with other modifiable variables, can be optimized by directed treatment. Additionally, targeted assessments and interventions can be utilized to improve quality of life for patients with nonmodifiable risk factors.

Depressive Symptoms Predict Delayed Ambulation After Traumatic Injury.

BACKGROUND: Impaired psychological state, such as anxiety and depressive symptoms, occurs in up to 40% of patients hospitalized for traumatic injury. These symptoms, in the acute period, may delay engagement in activity, such as ambulation, following injury. The purpose of this study was to determine whether baseline anxiety and depressive symptoms predicted delayed (>48 hr from admission) ambulation in patients hospitalized for major traumatic injury. METHODS: Adults (n = 19) admitted for major trauma (Injury Severity Score [ISS] = 15) provided a baseline measure of anxiety and depressive symptoms (Hospital Anxiety and Depression Scale [HADS]). Logistic regression was used to determine the predictive power of baseline HADS Anxiety and HADS Depression subscale scores for delayed ambulation while controlling for ISS. RESULTS: At baseline, anxiety was present in 32% of patients; 21% reported depressive symptoms. Baseline HADS Anxiety score did not predict the ambulation group. However, for each 1 point increase in baseline HADS Depression score, the likelihood of patients ambulating after 48 hr from admission increased by 67% (odds ratio = 1.67; 95% CI [1.02, 2.72]; p = .041). CONCLUSION: Worsening depressive symptoms were associated with delayed ambulation in the acute period following injury. Future, larger scale investigations are needed to further elucidate the relationship between psychological symptoms and the acute recovery period from trauma to better inform clinicians and guide development of interventions to improve patient outcomes.

Correlates of post-traumatic growth among nursing professionals: A cross-sectional analysis.

AIMS: Among nursing professionals, our aims were to examine (a) self-reported traumatic experiences, (b) differences in post-traumatic growth (i.e. positive psychological growth after experiencing a traumatic event) by nursing professional level and (c) demographic, work-related, behavioural and traumatic experience covariates of post-traumatic growth. BACKGROUND: Trauma experience among nursing professionals is higher than observed in the general population. Due to the nature of their work environment, workplace trauma rates are particularly alarming. Understanding post-traumatic growth among nursing professionals may guide interventions to enhance well-being. METHOD: A secondary analysis of cross-sectional survey data from nursing professionals (N = 299). Demographic, work-related, behavioural, trauma experience categories and post-traumatic growth variables were examined. RESULTS: Advanced practice nurses and clinical nurses reported higher rates of workplace trauma, as compared to nursing assistants. Higher post-traumatic growth scores were associated with having a postgraduate degree, serving the paediatric population and lower frequency of alcohol use. Lower post-traumatic growth scores were associated with being married/widowed, being an advanced practice provider or clinical nurse, working in the intensive care unit and reporting workplace, family/personal stress and undisclosed trauma. CONCLUSIONS: Nursing professionals have several demographic, work-related, behavioural and traumatic experience-related variables associated with and that explain variances in post-traumatic growth. IMPLICATION FOR NURSING MANAGEMENT: Targeted screening and individualized treatment based on nursing professional level should be considered to support trauma recovery and post-traumatic growth.

Factors Associated With Burnout in Trauma Nurses.

BACKGROUND: Burnout is a psychological syndrome resulting from repeated stressors experienced in the workplace that centers on emotional exhaustion, detachment from the job, and a sense of ineffectiveness. It has been previously demonstrated that burnout exists in the health care workforce, but there has been limited investigation of burnout in nurses who primarily provide care for patients who have been traumatically injured. The purpose of this study was to explore factors associated with burnout reported by trauma nurses. METHODS: This was a secondary analysis of a cross-sectional survey distributed at a large, academic Level I trauma center that serves both adult and pediatric patients. For this analysis, only the Burnout subscale of the Professional Quality of Life scale Version 5 (ProQOL) was used. Multivariate hierarchical regression was used to determine factors associated with burnout reported by trauma nurses. RESULTS: Protective factors included being female, being married, and better quality of sleep. Risk factors included having a mental health diagnosis and working with adult populations. CONCLUSIONS: These results provide an important contribution to the burnout risk profile for trauma nurses and may provide insight into future investigations as well as development and testing of tailored interventions to mitigate burnout in trauma nurses.

Early Ambulation After Injury Is Associated With Increased Muscle Size and Strength.

BACKGROUND: Trauma and management of injuries can result in reduction or loss of mobility, which can lead to skeletal muscle deconditioning and sustained disability. Prior investigators have examined changes in skeletal muscle due to injury and immobility separately. The muscular consequences of combined immobility and trauma have not been systematically investigated. OBJECTIVE: The purpose of this study was to explore the association of time to first ambulation with skeletal muscle size and strength in patients after major trauma. METHODS: Adults (N = 19) admitted for major trauma (Injury Severity Score [ISS] > 15) provided daily measures of muscle size (ultrasound) and strength (dynamometry) during hospitalization. Participants were grouped based on time to first ambulation. Repeated measures analysis of variance was used to compare muscle measures between the groups across 5 days while controlling for age and gender. RESULTS: Participants were primarily male (63%) aged 40 ± 17 years with a mean ISS of 21 ± 4. Early ambulation was associated with a 10% increase from baseline in bicep size on Days 3 and 4 and a 15% increase from baseline on Day 5. There were no changes in rectus femoris size in either group. The early ambulation group was significantly stronger than the delayed ambulation group throughout the study in measures taken with the biceps (22%-37%) and quadriceps (26%-46%). CONCLUSION: Early ambulation following major trauma was associated with increased bicep size and greater muscle strength in the biceps and quadriceps muscles over time.

A cross-sectional examination of factors associated with compassion satisfaction and compassion fatigue across healthcare workers in an academic medical centre.

Compassion satisfaction (CS) among healthcare professionals is a sense of gratification derived from caring for their suffering patients. In contrast, compassion fatigue, often a consequence of burnout (BO) and secondary traumatic stress (STS), is detrimental to healthcare professionals' productivity and patient care. While several studies have examined CS, BO, and STS among healthcare professionals, the majority have assessed samples in specific disciplines. However, the comparative differences in these factors by discipline or work setting are not well known. The aims of this study were to examine the differences in CS, BO, and STS by discipline and work setting, and to assess demographic, work-related, and behavioural factors associated with these outcomes. An electronic survey was administered (N = 764) at a large academic medical centre in the southeast United States. Questions elicited demographic variables, work-related factors, behavioural/lifestyle factors, experience with workplace violence, and the Professional Quality of Life Scale. Findings of the study determined that the rates of CS, BO, and STS vary across healthcare disciplines and work settings. Demographic, work-related, behavioural, and work setting (i.e., experience of workplace violence) factors were differentially associated with experiences of CS, BO, and STS. The results of the study suggest two potential areas for research, specifically workplace violence and sleep quality as a means of further understanding reduced CS and increased BO and STS among healthcare workers. These findings have important implications for future research and policy interventions to enhance healthcare workers' health and safety.