Trends in fatal occupational injuries in Latino/a workers relative to other groups, North Carolina 2000-2017.

BACKGROUND: Latino/a workers may experience higher fatal occupational injury rates than non-Latino/a workers. In North Carolina, the Latino/a population more than doubled between 2000 and 2017. We examined fatal occupational injuries among Latino/a and non-Latino/a workers in North Carolina over this period. METHODS: Information on fatal occupational injuries was abstracted from records of the North Carolina Office of the Chief Medical Examiner and the death certificate records held by the North Carolina Office of Vital Records. Estimates of the working population were derived from the decennial census and American Community Survey. Estimates of annual rates of fatal occupational injury for the period January 1, 2000 to December 31, 2017 were derived for Latino/a workers and compared to Black and White workers not identified as Latino/a. RESULTS: Over the study period, 1,783 fatal occupational injuries were identified among non-Latino/a workers and 259 fatal occupational injuries among Latino/a workers in North Carolina. The majority of fatal occupational injuries among Latino/a workers occurred among males employed in construction and agriculture. While the fatal occupational injury rate among Latino/a workers declined over the study period, the rate among Latino/a workers was higher than among non-Latino/a White and Black workers; moreover, fatal occupational injury rates for Latino/a workers trended upwards during the most recent years of the study period. CONCLUSIONS: Latino/a workers in North Carolina have the highest fatal occupational injury rate of any race/ethnicity group.

A Healthcare Improvement Intervention Combining Nucleic Acid Microarray Testing With Direct Physician Response for Management of Staphylococcus aureus Bacteremia.

Background: Nucleic acid microarray (NAM) testing for detection of Staphylococcus aureus bacteremia (SAB) and S. aureus resistance gene determinants can reduce time to targeted antibiotic administration. Evidence-based management of SAB includes bedside infectious diseases (ID) consultation. As a healthcare improvement initiative at our institution, with the goal of improving management and outcomes for subjects with SAB, we implemented NAM with a process for responding to positive NAM results by directly triggered, mandatory ID consultation. Methods: Preintervention, SAB was identified by traditional culture and results passively directed to antibiotic stewardship program (ASP) pharmacists. Postintervention, SAB in adult inpatients was identified by Verigene Gram-Positive Blood Culture test, results paged directly to ID fellow physicians, and consultation initiated immediately. In the new process, ASP assisted with management after the initial consultation. A single-center, retrospective, pre-/postintervention analysis was performed. Results: One hundred six preintervention and 120 postintervention subjects were assessed. Time to ID consultation after notification of a positive blood culture decreased 26.0 hours (95% confidence interval [CI], 45.1 to 7.1 hours, P < .001) postintervention compared with preintervention. Time to initiation of targeted antibiotic decreased by a mean of 21.2 hours (95% CI, 31.4 to 11.0 hours, P < .001) and time to targeted antibiotics for methicillin-sensitive S. aureus decreased by a mean of 40.7 hours (95% CI, 58.0 to 23.5 hours, P < .001). The intervention was associated with lower in-hospital (13.2% to 5.8%, P = .047) and 30-day (17.9% to 8.3%, P = .025) mortality. Conclusions: Compared with an ASP-directed response to traditionally detected SAB, an efficient physician response to NAM was associated with improved care and outcomes for SAB.

Targeting disparate spaces: new technology and old tools.

A growing number of inexpensive, publicly available, validated air quality monitors are currently generating granular and longitudinal data on air quality. The expansion of interconnected networks of these monitors providing open access to longitudinal data represents a valuable data source for health researchers, citizen scientists, and community members; however, the distribution of these data collection systems will determine the groups that will benefit from them. Expansion of these and other exposure measurement networks represents a unique opportunity to address persistent inequities across racial, ethnic, and class lines, if the distribution of these devices is equitable. We present a lean template for local implementation, centered on groups known to experience excess burden of pulmonary disease, leveraging five resources, (a) publicly available, inexpensive air quality monitors connected via Wi-Fi to a centralized system, (b) discharge data from a state hospital repository (c) the U.S. Census, (d) monitoring locations generously donated by community organizations and (e) NIH grant funds. We describe our novel approach to targeting air-quality mediated pulmonary health disparities, review logistical and analytic challenges encountered, and present preliminary data that aligns with a growing body of research: in a high-burden zip code in Durham North Carolina, the census tract with the highest proportions of African Americans experienced worse air quality than a majority European-American census tract in the same zip code. These results, while not appropriate for use in causal inference, demonstrate the potential of equitably distributed, interconnected air quality sensors.

Influence of critically appraising exemption requests from healthcare personnel along a spectrum of influenza vaccine hesitancy.

OBJECTIVES: This study was performed to assess whether an intervention for critically appraising influenza vaccine exemption requests from healthcare personnel (HCP) affected (1) the overall rate of influenza vaccine exemption within a healthcare institution and/or (2) the rates of postintervention vaccine acceptance among those who inconsistently request exemption from annual vaccination and those who consistently request exemption from vaccination. DESIGN: Retrospective, before-and-after intervention study. SETTING: We conducted the study at a single academic medical center. PARTICIPANTS: This study included 29,663 HCP. METHODS: Between 2010 and 2019, HCP were permitted to request an exemption from influenza vaccination without critical appraisal of exemption requests. After January 2019, medical center policy required critical appraisal of exemption requests. Of those employed 3 or more years who requested an exemption at least once during the preintervention period (n = 1,177), those with unchanging exemption reasons annually were termed "consistent exempters." Those who changed reasons or accepted vaccination n ≥ 1 times were termed "inconsistent exempters." RESULTS: The overall exemption rate from influenza vaccine decreased from 3.8% to 1.2% (P < .001; N = 29,663) after the intervention. Of those requesting exemption at least once before the intervention, 329 (28.0%) of 1,177 were consistent exempters and 878 (72.0%) were inconsistent exempters. Of inconsistent exempters employed after the intervention, 442 (88.9%) of 497 accepted vaccine postintervention compared with 118 (59.6%) of 198 consistent exempters (P < .001). Of all exempters who changed from exemption to acceptance after the intervention, 442 (78.9%) of 560 were inconsistent exempters. CONCLUSIONS: Critical appraisal of HCP exemption requests promotes influenza vaccine acceptance, and acceptance by inconsistent exempters drives the effect of the intervention. Analysis of changes in annual exemption requests represents a novel objective method for describing those on the spectrum of vaccine hesitancy.

Alcohol, Cannabis and Crossfading: Concerns for COVID-19 Disease Severity.

Risk factors for severe COVID-19 pathology are currently being investigated worldwide. The emergence of this highly infectious respiratory disease has plagued the world, with varying severity across populations of different age, race, and socio-economic level. These data suggest that other environmental or social factors may contribute to this disease's severity. Using a mouse model, we identify heavy alcohol and cannabinoid consumption as risk factors for increased pulmonary pathology in the setting of exposure to a microbial pulmonary pathogen (K. pneumoniae). We present observational evidence that pneumonia patients admitted to North Carolina hospitals have longer lengths of stay when they endorse alcohol use or have conditions considered alcohol attributable. We are concerned that the observed increase in alcohol and legal cannabinoid sales during lockdown and quarantine may contribute to increased pulmonary pathology among patients who become infected with COVID-19.