Diagnostic Accuracy of a Trauma Risk Assessment Tool Among Geriatric Patients With Crash Injuries.

ABSTRACT: The Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) is a risk stratification tool. We evaluated the STTGMA's accuracy in predicting 30-day mortality and the odds of unfavorable clinical trajectories among crash-related trauma patients. This retrospective cohort study (n = 912) pooled adults aged 55 years and older from a single institutional trauma database. The data were split into training and test data sets (70:30 ratio) for the receiver operating curve analysis and internal validation, respectively. The outcome variables were 30-day mortality and measures of clinical trajectory. The predictor variable was the high-energy STTGMA score (STTGMAHE). We adjusted for the American Society of Anesthesiologists Physical Status. Using the training and test data sets, STTGMAHE exhibited 82% (95% CI: 65.5-98.3) and 96% (90.7-100.0) accuracies in predicting 30-day mortality, respectively. The STTGMA risk categories significantly stratified the proportions of orthopedic trauma patients who required intensive care unit (ICU) admissions, major and minor complications, and the length of stay (LOS). The odds of ICU admissions, major and minor complications, and the median difference in the LOS increased across the risk categories in a dose-response pattern. STTGMAHE exhibited an excellent level of accuracy in identifying middle-aged and geriatric trauma patients at risk of 30-day mortality and unfavorable clinical trajectories.

Influence of COVID-19 on Stress at Work During the First Wave of the Pandemic Among Emergency Health Care Workers.

OBJECTIVES: For more than 2 years, coronavirus disease (COVID-19) has forced worldwide health care systems to adapt their daily practice. These adaptations add to the already stressful demands of providing timely medical care in an overcrowded health care system. Specifically, the COVID-19 pandemic added stress to an already overwhelmed emergency and critical care health care workers (HCWs) on the front lines during the first wave of the pandemic.This study assessed comparative subjective and objective stress among frontline HCWs using a visual analog scale and biometric data, specifically heart rate variability (HRV). METHODS: This is a prospective, observational study using surveys and heart rate monitoring among HCWs who work in 3 frontline health care units (emergency department, mobile intensive care unit, and intensive care unit) in the University Hospital of Clermont-Ferrand, France. Two sessions were performed: 1 during the first wave of the pandemic (April 10 to May 10, 2020) and 1 after the first wave of the pandemic (June 10 to July 15, 2020).The primary outcome is the difference in stress levels between the 2 time points. Secondary objectives were the impact of overcrowding, sociodemographics, and other variables on stress levels. We also assessed the correlation between subjective and objective stress levels. RESULTS: Among 199 HCWs, 98 participated in biometric monitoring, 84 had biometric and survey data, and 12 with only biometric data. Subjective stress was higher during the second time point compared to the first (4.39 ± 2.11 vs 3.16 ± 2.34, P = 0.23). There were higher objective stress levels with a decrease in HRV between the first and the second time points. Furthermore, we found higher patient volumes as a source of stress during the second time point. We did not find any significant correlation between subjective and objective stress levels. CONCLUSION: HCWs had higher stress levels between the 2 waves of the pandemic. Overcrowding in the emergency department is associated with higher stress levels. We did not find any correlation between subjective and objective stress among intensive care and emergency HCWs during the first wave of the pandemic.

Emergency Providers' Knowledge and Attitudes Toward Hospice and Palliative Care: A Cross-Sectional Analysis Across 35 Emergency Departments in the United States.

Background: Emergency providers' knowledge and attitudes may be a barrier to adopting hospice and palliative care practice. Objective: To assess provider characteristics associated with knowledge and attitudes toward hospice and palliative care (KAHP). Design: Cross-sectional analysis. Setting/Subjects: Emergency physicians, advanced practice providers (APPs), and nurses from 35 U.S. emergency departments (EDs) enrolled in a provider-focused intervention. Measurement: The outcome measures were the total and subscale scores of the KAHP scale. The predictor variables were age, sex, race/ethnicity, and years of practice. We reported the observed association using a linear mixed-effects regression model. Results: The mean KAHP score, rated from 10 to 50, was 36. Increased years of practice were associated with increased mean self-reported knowledge and attitudes scores among APPs and nurses. Conclusion: Understanding the provider characteristics associated with hospice and palliative care adoption in the ED may inform the development of interventions for specific providers. ClinicalTrials.gov (NCT03424109).

Crosswalk between Charlson Comorbidity Index and the American Society of Anesthesiologists Physical Status Score for Geriatric Trauma Assessment.

The American Society of Anesthesiologists Physical Status (ASA-PS) grade better risk stratifies geriatric trauma patients, but it is only reported in patients scheduled for surgery. The Charlson Comorbidity Index (CCI), however, is available for all patients. This study aims to create a crosswalk from the CCI to ASA-PS. Geriatric trauma cases, aged 55 years and older with both ASA-PS and CCI values (N = 4223), were used for the analysis. We assessed the relationship between CCI and ASA-PS, adjusting for age, sex, marital status, and body mass index. We reported the predicted probabilities and the receiver operating characteristics. A CCI of zero was highly predictive of ASA-PS grade 1 or 2, and a CCI of 1 or higher was highly predictive of ASA-PS grade 3 or 4. Additionally, while a CCI of 3 predicted ASA-PS grade 4, a CCI of 4 and higher exhibited greater accuracy in predicting ASA-PS grade 4. We created a formula that may accurately situate a geriatric trauma patient in the appropriate ASA-PS grade after adjusting for age, sex, marital status, and body mass index. In conclusion, ASA-PS grades can be predicted from CCI, and this may aid in generating more predictive trauma models.

The Impact of Job-Demand-Control-Support on Leptin and Ghrelin as Biomarkers of Stress in Emergency Healthcare Workers.

Despite the available literature on the consequences of night shiftwork on stress and food intake, its impact on leptin and ghrelin has never been studied. We previously demonstrated that leptin and ghrelin were biomarkers related to stress, and acute stress-induced a decrease in leptin levels and an increase in ghrelin levels. We performed a prospective observational study to assess the influence of night work, nutrition, and stress on the levels of ghrelin and leptin among emergency healthcare workers (HCWs). We took salivary samples at the beginning of a day shift and/or at the end of a night shift. We also monitored stress using the job demand-control-support model of Karasek. We recorded 24-h food intake during the day shift and the consecutive night shift and during night work and the day before. We included 161 emergency HCWs. Emergency HCWs had a tendency for decreased levels of leptin following the night shift compared to before the dayshift (p = 0.067). Furthermore, the main factors explaining the decrease in leptin levels were an increase in job-demand (coefficient -54.1, 95 CI -99.0 to -0.92) and a decrease in job control (-24.9, -49.5 to -0.29). Despite no significant changes in ghrelin levels between shifts, social support was the main factor explaining the increase in ghrelin (6.12, 0.74 to 11.5). Food intake (kcal) also had a negative impact on leptin levels, in addition to age. Ghrelin levels also decreased with body mass index, while age had the opposite effect. In conclusion, we confirmed that ghrelin and leptin as biomarkers of stress were directly linked to the job demand-control-support model of Karasek, when the main cofounders were considered.

Emergency provider perspectives on facilitators and barriers to home and community services for older adults with serious life limiting illness: A qualitative study.

BACKGROUND: Older adults account for a large proportion of emergency department visits, but those with serious life-limiting illness may benefit most from referral to home and community services instead of hospitalization. We aim to document emergency provider perspectives on facilitators and barriers to accessing home and community services for older adults with serious life-limiting illness. METHODS: We conducted interviewer-administered semi-structured interviews with emergency providers from health systems across the United States to obtain provider perspectives on facilitators and barriers to accessing home and community services. We completed qualitative thematic analysis using an iterative process to develop themes and subthemes to summarize provider responses. RESULTS: We interviewed 8 emergency nurses and 10 emergency physicians across 11 health systems. Emergency providers were familiar with local home and community services. Facilitators to accessing these services include care management and social workers. Barriers include services that are not accessible full-time to receive referrals, insurance/payment, and the busy nature of the emergency department. The most helpful reported services were hospice, physical therapy, occupational therapy, and visiting nursing services. Home-based palliative care and full-time emergency department-based care management and social work were the services most desired by providers. Providers expressed support for improving access to home and community services in the hopes of decreasing unnecessary emergency visits and inpatient admissions, and to provide patients with greater options for supportive care. CONCLUSION: Obtaining the perspective of emergency providers highlights important considerations to accessing HCS for older-adults with serious life-limiting illness from the emergency department. This study provides foundational information for futures studies and initiatives for improving access to home and community services directly from the emergency department.

The Negative Impact of Night Shifts on Diet in Emergency Healthcare Workers.

Despite the consequences of night-shift work, the diet of night-shift workers has not been widely studied. To date, there are no studies related to food intake among emergency healthcare workers (HCWs). We performed a prospective observational study to assess the influence of night work on the diet of emergency HCWs. We monitored 24-h food intake during a day shift and the consecutive night, and during night work and the daytime beforehand. We analyzed 184 emergency HCWs' food intakes. Emergency HCWs had 14.7% lower (-206 kcal) of their 24-h energy intake during night shifts compared to their day-shift colleagues (1606.7 ± 748.2 vs. 1400.4 ± 708.3 kcal, p = 0.049) and a 16.7% decrease in water consumption (1451.4 ± 496.8 vs. 1208.3 ± 513.9 mL/day, p = 0.010). Compared to day shifts, night-shift had 8.7% lower carbohydrates, 17.6% proteins, and 18.7% lipids. During the night shift the proportion of emergency HCWs who did not drink for 4 h, 8 h and 12 h increased by 20.5%, 17.5%, and 9.1%, respectively. For those who did not eat for 4 h, 8 h and 12 h increased by 46.8%, 27.7%, and 17.7%, respectively. A night shift has a huge negative impact on both the amount and quality of nutrients consumed by emergency healthcare workers.

A cross-sectional study to assess job strain of emergency healthcare workers by Karasek questionnaire: The SEEK study.

Background: Emergency healthcare workers (eHCWs) are particularly at risk of stress, but data using the gold standard questionnaire of Karasek are scarce. We assessed the level of stress of eHCWs and aimed to compare it with the general population. Methods: This is a cross-sectional nationwide study in French Emergency Departments (EDs), using the job-content questionnaire of Karasek, compared with the 25,000 answers in the French general population (controls from the SUMER study). The descriptions of job demand, job control, and social support were described as well as the prevalence of job strain and isostrain. Putative factors were searched using mixed-method analysis. Results: A total of 166 eHCWs (37.9 ± 10.5 years old, 42% men) from five French EDs were included: 53 emergency physicians and 104 emergency paramedics, compared to 25,000 workers with other occupations. Job demand was highest for physicians (28.3 ± 3.3) and paramedics (25.9 ± 3.8), compared to controls (36.0 ± 7.2; p < 0.001). Job control was the lowest for physicians (61.2 ± 5.8) and paramedics (59.1 ± 6.8), compared to controls (70.4 ± 11.7; p < 0.001). Mean social support did not differ between groups (23.6 ± 3.4 for physicians, 22.6 ± 2.9 for paramedics, and 23.7 ± 3.6 for controls). The prevalence of job strain was massively higher for physicians (95.8%) and paramedics (84.8%), compared to controls (23.9%; p < 0.001), as well as for isostrain (45.1% for physicians, 56.8% for paramedics, and 14.3% for controls, p < 0.001). We did not find any significant impact of sociodemographic characteristics on job control, job demand, or social support. Conclusion: Emergency healthcare workers have a dramatic rate of job strain, necessitating urgent promotion of policy to take care of them.

An assessment of the rural-urban differences in the crash response time and county-level crash fatalities in the United States.

PURPOSE: This study aimed to estimate the crash response times in rural and urban counties in the United States, their association with county-level crash fatalities, and identify spatial clusters of crash fatalities across the United States. METHODS: We analyzed data from the Fatality Analysis Reporting System (2010-2019). Data were aggregated at the county level across the contiguous United States. The selected counties (n = 3,108) were categorized as rural, micropolitan-urban, or metropolitan-urban using the 2013 rural-urban commuting area codes. The predictor variable was crash response time, and the outcome variable was county-level crash fatalities. Crash and county characteristics were used as potential confounders. We performed a spatial negative binomial regression analysis and reported the rate ratios of crash fatalities. We estimated the crude and adjusted fatality rates across all counties and identified clusters of crash fatalities across the United States. FINDINGS: As one migrates from urban to rural areas, crash response times became significantly increasingly longer. The Emergency Medical Service (EMS) notification to scene arrival time was most predictive of crash fatalities. A minute increase in the EMS notification to scene arrival time was associated with a 1%, 2%, and 5% increased fatality rate ratio in rural, micropolitan-urban, and metropolitan-urban counties, respectively. Although crash fatalities were lower in rural counties, the crash fatality rate was 3-fold higher in rural counties compared to metropolitan-urban counties. Significant clusters of crash fatality rates were heterogeneously distributed across the United States. CONCLUSION: Reducing crash response time may contribute to reducing crash fatalities across the United States.

Evaluating the association of self-reported psychological distress and self-rated health on survival times among women with breast cancer in the U.S.

BACKGROUND: Psychological distress and self-rated health status may create additional complexities in patients already diagnosed with breast cancer. This study aims to assess the association of self-report-based assessment of psychological distress and self-rated health on survival times among women with breast cancer diagnoses. METHODS: Seventeen-year data from the Integrated Public Use Microdata Series-National Health Interview Survey (IPUMS-NHIS) were pooled and analyzed. Women who were aged 30 to 64 years old, with breast cancer diagnosis were selected (n = 2,819). The outcome variable was time to death. The independent variables were self-reported assessment of psychological distress and self-rated health. Psychological distress was defined using the Kessler-6 scale while self-rated health was measured on a 3-point Likert scale: Poor, Fair, and Good-to-Excellent (referred to as good for brevity). We computed unadjusted and adjusted hazard ratios (HR) using Cox-Proportional Hazard regression models with sociodemographic characteristics and measures of health care access used as potential confounders. Significance was set at alpha = 0.05. RESULTS: Women with breast cancer assessed as having psychological distress had 46% (Adjusted HR: 1.46; 95% CI: 1.02-2.09) increased risks of mortality. Also, women who rated their health as poor or fair had a significantly elevated mortality risk (Poor Health: Adjusted HR: 3.05; 95% CI: 2.61-4.69; Fair Health: Adjusted HR: 1.83; 95% CI: 1.43-2.35) as compared to women with good health status. CONCLUSIONS: Self-reported psychological distress and fair and poor self-rated health are associated with reduced survival times among women with breast cancer diagnoses.

Exploring the relationship of rush hour period and fatal and non-fatal crash injuries in the U.S.: A systematic review and meta-analysis.

Road crashes are preventable causes of morbidity and mortality. In the U.S., substantial crashes occur during the rush hour period. The rush hour represents the period of the day during which the density of humans and vehicles in the road environment is highest. In the U.S., the rush hour period is bi-modal, occurring in the morning and the afternoon, at times that vary by state and urban-rural status. This systematic review and meta-analysis aimed to evaluate the association between the rush hour period and fatal and non-fatal crash injuries. Selected articles were limited to peer-reviewed full-text articles that measured crash injury as an outcome and rush hour as either a predictor, covariate, stratification, or a control variable. A total of 17 articles were identified for systematic review and nine articles were included in the meta-analysis. Across the selected studies, the rush-hour period signified the period of "peak traffic flow." During the rush hour period, aggressive driving behavior, truck driving, bicycle riding, and precipitation were associated with increased crash events or crash injuries. Across the nine studies included in the meta-analysis, the effective sample size was 236,433. The rush-hour period was associated with a 28% increased risk of fatal crash injury (Pooled RR: 1.28; 95% CI: 1.11-1.45) and the morning rush hour period was associated with 36% increased crash injury risk (Pooled RR: 1.36; 95% CI: 1.13-1.59). The rush hour period, though less commonly studied as a predictor of fatal and non-fatal crash injuries, represents an important domain in need of crash injury prevention attention. The knowledge of the pattern of crash injuries, as it varies across countries, states, regions, and county can inform policy and intervention, in the presence of competing public health needs.

Mobile phone use while driving: Development and validation of knowledge, attitude, and practice survey instruments.

INTRODUCTION: Instruments that assess the knowledge, attitude, and practice (KAP) of mobile phone use serve as a primary assessment tool on which mobile phone distracted driving interventions can be designed. The objective of this study is to develop and validate KAP-modeled survey instruments that measure the knowledge of mobile phone hazards while driving (KMPHD), the attitude of drivers towards mobile phone use while driving (AMPUD), and the practice of mobile phone use while driving (PMPUD). METHOD: This study was a cross-sectional analytical survey conducted in Ibadan, Nigeria. Three instruments were designed to measure KMPHD, AMPUD, and PMPUD. Content validity, item analysis, exploratory factor analysis were conducted, and items were excluded based on the collective results of the analysis. The domains of the constructs and the reliability of the instruments are reported. A confirmatory factor analysis was used to assess the regression weights of each item and the model fit. RESULTS: From an original list of 13, 12, and 10 items in the KMPHD, AMPUD, and PMPUD instruments, a final list of 7, 5, and 7 items were generated in each survey instrument, respectively. Two domains of the knowledge of hazards and practice of mobile phone use were obtained, and attitude to phone use while driving was a single domain. The reliabilities (Cronbach alpha) of the KMPHD (0.881), AMPUD (0.954), and PMPUD (0.920) were sufficiently high. Also, all items in the three instruments had moderate-to-high regression coefficients, and the model fits of the instruments were good. CONCLUSIONS: This study provides KAP-modeled survey instruments that can be used to assess a population-based knowledge, attitude, and practice of mobile phone use while driving. Practical Applications: This survey instrument can be used in assessing baseline knowledge, attitude, and practice of phone use while driving and determine the focus and effectiveness of mobile phone-induced distracted driving interventions.

Characteristics of trauma patients that leave against medical advice: An eight-year survey analysis using the National Hospital Ambulatory Medical Care Survey, 2009-2016.

BACKGROUND: Leaving against medical advice (AMA) is associated with increased readmission rates, fragmented patient care, and healthcare litigation. Understanding the factors associated with trauma patients leaving AMA from acute care settings will help guide better communication with trauma patients and improve patient satisfaction. This study aims to assess the sociodemographic and in-hospital care characteristics of trauma patients that leave AMA from acute care centers across the U.S. METHODS: We pooled and analyzed eight years of data (2009-2016) from the National Hospital Ambulatory Medical Care Survey. The outcome variable was whether the patient left AMA or not. The main predictors were the triage class, weekend presentation, health insurance status, the presence of chronic diseases, and the receipt of therapeutic and diagnostic procedures. The sociodemographic characteristics -age, sex, and race/ethnicity, were measured as potential confounders in the developed model. We performed logistic regression and reported the unadjusted and adjusted odds of leaving AMA as well as the 95% confidence intervals. RESULTS: The weighted percent of the trauma patient population that left AMA was 1.8%. The odds of leaving AMA decreased with advancing age, and increased among non-Hispanic Blacks, compared with non-Hispanic Whites. After adjusting for age, race, and gender, the odds of leaving AMA increased among patients that lacked health insurance (AOR: 1.86; 95% CI: 1.51-2.31), and had diagnostic procedures (AOR: 2.79; 95% CI: 2.32-3.36). The odds of leaving AMA reduced among trauma patients who were classified as emergent (AOR: 0.70; 95% CI: 0.50-0.98) and had therapeutic procedures (AOR: 0.39; 95% CI: 0.32-0.47). CONCLUSION: Predicting trauma patients with increased odds of leaving AMA will inform intentional communication that may reduce leaving AMA rates and improve care.