Assessment of discordance between radiologists and emergency physicians of RADIOgraphs among discharged patients in an emergency department: the RADIO-ED study.

BACKGROUND: The possibility to perform standard X-rays is mandatory for all French Emergency Department (ED). Initial interpretation is under the prescriber emergency physician-who continually works under extreme conditions, but a radiologist needs to describe a report as soon as possible. We decided to assess the rate of discordance between emergency physicians and radiologists among discharged patients. METHODS: We performed a monocentric study on an adult ED among discharged patients who had at least one X-ray during their consult. We used an automatic electronic system that classified interpretation as concordant or discordant. We review all discordant interpretation, which were classified as false negative, false positive, or more exam needed. RESULTS: For 1 year, 8988 patients had 12,666 X-rays. We found a total of 742 (5.9%) discordant X-rays, but only 277 (2.2%) discordance had a consequence (new consult or exam not initially scheduled). We found some factors associated with discordance such as male sex, or ankle, foot, knee, finger, wrist, ribs, and elbow locations. CONCLUSIONS: On discharged patients, using a systematic second interpretation of X-ray by a radiologist, we found a total of 2.2% discordance that had an impact on the initial care.

Psychological distress is more common in some occupations and increases with job tenure: a thirty-seven year panel study in the United States.

BACKGROUND: Workers in certain occupations may have elevated risks of psychological distress. However, research is limited. For example, researchers often measure distress that may have existed before occupational exposures. We studied occupations and the development of psychological distress using national data from the United States. METHODS: We reviewed relevant research to identify occupations with low and high risks of mental health problems. We confirmed those individual low and high risk occupations using 1981-2017 data from the Panel Study of Income Dynamics (n = 24,789). We measured new cases of distress using the Screening Scale for Psychological Distress (Kessler K6) and compared distress in the low and high risk groups, adjusted for factors associated with occupational selection and non-occupational distress risks. A subset of participants described their jobs (n = 1,484), including factors such as job demands, social support, and control over work. We examined associations of those factors with psychological distress. RESULTS: Workers in high risk occupations had 20% higher adjusted odds of developing distress than those in low risk occupations (odds ratio, OR 1.20, 95% confidence interval, CI 1.13-1.28). Distress increased with time in a high risk occupation: ≥5 years OR 1.38 (CI 1.18-1.62), ≥ 10 years OR 1.46 (CI 1.07-1.99), and ≥ 15 years OR 1.77 (CI 1.08-2.90; p-trend = 0.0145). The most common positive participant descriptions of their jobs indicated social support (34%), sense of accomplishment (17%), and control over work (15%). Participants reporting such descriptions were significantly less likely to have a high risk occupation (OR 0.66, CI 0.46-0.94, p = 0.0195). The most common negative descriptions were excessive job demands (43%), low social support (27%), and lack of control (14%). Participants reporting such descriptions were significantly more likely to have a high risk occupation (OR 1.49, CI 1.03-2.14, p = 0.0331). CONCLUSION: Certain occupations may have high risks of psychological distress, which may be due to characteristics of the occupations rather than employee characteristics, or in addition to them. Results were consistent with theoretical models of psychosocial work environments. Providers of health care and social services should ask patients or clients about work-related distress.

Knowledge and Attitudes Toward Hospice and Palliative Care: Instrument Validation Among Emergency Providers.

Background: Emergency providers can engage in goals of care discussions and hospice and palliative care referrals. Little is known about their knowledge and attitudes, which may influence these care practices. Objective: This study aims to re-validate the knowledge and attitude towards hospice and palliative care (KAHP) scale and assess the scale's latent constructs among emergency providers. Methods: The scale consists of ten items measured on a five-point Likert scale. Five of the ten items were reverse scored. Content validation was performed by ten experts in Hospice and Palliative Medicine and Emergency Medicine. Baseline surveys of emergency physicians, advance practice providers, and nurses conducted in the context of a pragmatic, randomized control trial were used for the item analysis and the exploratory and confirmatory factor analyses. Results: The KAHP scale is a ten-item scale scored from 10 to 50. Based on the synthesis of content validation results and the item analysis, all ten items were retained. The item and scale Content Validity Index were each .91. The reliability of the scale was .64 and the exploratory factor analysis identified three underlying constructs defined as self-rated knowledge, support for hospice and palliative care practice, and views on provider-patient communication. The presence of good model fit indices supported the structural integrity of the constructs. Conclusion: We present a validated instrument that is suitable for assessing knowledge and attitude variations toward interventions designed to improve hospice and palliative care practice among emergency providers.

Poverty, Health Care Access Barriers, and Functional Limitations among Individuals with Chronic Obstructive Pulmonary Disease: An 11-Year Cross-sectional Analysis, 2008-2018.

OBJECTIVES: To assess the relationship between poverty, delayed care, unaffordable care, and functional limitations among individuals with chronic obstructive pulmonary disease (COPD). METHODS: Using the National Health Interview Survey data, we selected respondents with COPD, aged 40 years and older. The predictor variables were poverty and measures of delayed and unaffordable care. The outcome variable was functional limitations. We performed a survey-weighted multivariate logistic regression analysis, adjusting for sociodemographic characteristics. RESULTS: Respondents classified as poor had three times the odds of functional limitations compared with those classified as not poor. Respondents who reported having measures of delayed care or unaffordable care had two to nine times and two to four times the adjusted odds of functional limitations compared with those who did not report such measures of delayed and unaffordable care, respectively. CONCLUSIONS: Poverty and delayed and unaffordable care are associated with functional limitations among individuals with COPD.

The association of crash response times and deaths at the crash scene: A cross-sectional analysis using the 2019 National Emergency Medical Service Information System.

BACKGROUND: Deaths at the crash scene (DAS) are crash deaths that occur within minutes after a crash. Rapid crash responses may reduce the occurrence of DAS. OBJECTIVES: This study aims to assess the association of crash response time and DAS during the rush and nonrush hour periods by rurality/urbanicity. METHOD: This single-year cross-sectional study used the 2019 National Emergency Medical Services (EMS) Information System. The outcome variable was DAS. The predictor variables were crash response measures: EMS Chute Initiation Time (ECIT) and EMS Travel Time (ETT). Age, gender, substance use, region of the body injured, and the revised trauma score were used as potential confounders. Logistic regression was used to assess the unadjusted and adjusted odds of DAS. RESULTS: A total of 654,675 persons were involved in EMS-activated road crash events, with 49.6% of the population exposed to crash events during the rush hour period. A total of 2,051 persons died at the crash scene. Compared to the baseline of less than 1 minute, ECIT ranging from 1 to 5 minutes was significantly associated with 58% (95% CI: 1.45-1.73) increased odds of DAS. Also, when compared to the baseline of less than 9 minutes, ETT ranging between 9 and 18 minutes was associated with 34% (95% CI: 1.22-1.47) increased odds of DAS. These patterns were consistent during the rush and nonrush hour periods and across rural and urban regions. CONCLUSION: Reducing crash response times may reduce the occurrence of DAS.

An Assessment of the Relationship of SNAP and Anemia Among School-Aged Children and Adolescents Living in Households With Food Insecurity.

Children in food-insecure households have an increased risk of anemia. Participation in Supplemental Nutrition Assistance Programs (SNAP) has several benefits. However, it is unknown if it ameliorates anemia among school-aged children and adolescents living in food-insecure households. This study aims to assess the association of SNAP participation and anemia among children and adolescents living in households experiencing food insecurity. The sample population (n = 1635), aged 6 to 18 years, were pooled from the 2003-2014 National Health and Nutrition Examination Survey (NHANES). The exposure of interest was self-reported household SNAP participation. The outcome variable was the presence or absence of anemia, classified using the blood hematocrit concentration values. Survey weighted logistic regression was performed to calculate the odds ratio (OR) and 95% Confidence Interval (CI) of the association between participation in SNAP and anemia in food-insecure children. We found that over 80% of anemic children and adolescents, living in food-insecure households, participated in SNAP, while 63% of non-anemic children and adolescents, living in food-insecure households participated in SNAP (p = .007). Among children living in food-insecure households, SNAP participants had 3-fold increased odds of anemia compared to those who do not participate in SNAP, after adjusting for confounders (OR = 3.33, 95% CI: 1.25-8.88). In this study, SNAP participation was associated with increased odds of anemia in children and adolescents living in food-insecure households. Additional research is needed to assess if these unexpected findings are related to the adequacy of SNAP, affordability, and accessibility to healthy foods, or the household and individual food preferences in food-insecure households.

An assessment of the non-fatal crash risks associated with substance use during rush and non-rush hour periods in the United States.

BACKGROUND: Understanding how substance use is associated with severe crash injuries may inform emergency care preparedness. OBJECTIVES: This study aims to assess the association of substance use and crash injury severity at all times of the day and during rush (6-9 AM; 3-7 PM) and non-rush-hours. Further, this study assesses the probabilities of occurrence of low acuity, emergent, and critical injuries associated with substance use. METHODS: Crash data were extracted from the 2019 National Emergency Medical Services Information System. The outcome variable was non-fatal crash injury, assessed on an ordinal scale: critical, emergent, low acuity. The predictor variable was the presence of substance use (alcohol or illicit drugs). Age, gender, injured part, revised trauma score, the location of the crash, the road user type, and the geographical region were included as potential confounders. Partially proportional ordinal logistic regression was used to assess the unadjusted and adjusted odds of critical and emergent injuries compared to low acuity injury. RESULTS: Substance use was associated with approximately two-fold adjusted odds of critical and emergent injuries compared to low acuity injury at all times of the day and during the rush and non-rush hours. Although the proportion of substance use was higher during the non-rush hour period, the interaction effect of rush hour and substance use resulted in higher odds of critical and emergent injuries compared to low acuity injury. CONCLUSION: Substance use is associated with increased odds of critical and emergent injury severity. Reducing substance use-related crash injuries may reduce adverse crash injuries.

Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration.

Efficient broadband Internet access is required for optimal productivity in smart campuses. Besides access to broadband Internet, delivery of high speed and good Quality of Service (QoS) are pivotal to achieving a sustainable development in the area of education. In this data article, trends and patterns of the speed of broadband Internet provided in a Nigerian private university campus are largely explored. Data transmission speed and data reception speed were monitored and recorded on daily basis at Covenant University, Nigeria for a period of twelve months (January-December, 2017). The continuous data collection and logging were performed at the Network Operating Center (NOC) of the university using SolarWinds Orion software. Descriptive statistics, correlation and regression analyses, Probability Density Functions (PDFs), Cumulative Distribution Functions (CDFs), Analysis of Variance (ANOVA) test, and multiple comparison post-hoc test are performed using MATLAB 2016a. Extensive statistical visualizations of the results obtained are presented in tables, graphs, and plots. Availability of these data will help network administrators to determine optimal network latency towards efficient deployment of high-speed broadband communication networks in smart campuses.

Exploration of daily Internet data traffic generated in a smart university campus.

In this data article, a robust data exploration is performed on daily Internet data traffic generated in a smart university campus for a period of twelve consecutive (12) months (January-December, 2017). For each day of the one-year study period, Internet data download traffic and Internet data upload traffic at Covenant University, Nigeria were monitored and properly logged using required application software namely: FreeRADIUS; Radius Manager Web application; and Mikrotik Hotspot Manager. A comprehensive dataset with detailed information is provided as supplementary material to this data article for easy research utility and validation. For each month, descriptive statistics of daily Internet data download traffic and daily Internet data upload traffic are presented in tables. Boxplot representations and time series plots are provided to show the trends of data download and upload traffic volume within the smart campus throughout the 12-month period. Frequency distributions of the dataset are illustrated using histograms. In addition, correlation and regression analyses are performed and the results are presented using a scatter plot. Probability Density Functions (PDFs) and Cumulative Distribution Functions (CDFs) of the dataset are also computed. Furthermore, Analysis of Variance (ANOVA) and multiple post-hoc tests are conducted to understand the statistical difference(s) in the Internet traffic volume, if any, across the 12-month period. The robust data exploration provided in this data article will help Internet Service Providers (ISPs) and network administrators in smart campuses to develop empirical model for optimal Quality of Service (QoS), Internet traffic forecasting, and budgeting.