ABSTRACT
Background. Inequities in healthcare among racial and ethnic minorities are globally recognized. The focus has centered on access to healthcare, equitable treatment, and optimizing outcomes. However, there has been relatively little investigation into potential racial and ethnic disparities in HAI. Methods. We performed a retrospective cohort analysis of select HAI prospectively-collected by a network of community hospitals in the southeastern US, including central line-associated bloodstream infection (CLABSI), catheterassociated urinary tract infection (CAUTI), and laboratory-identified Clostridioides difficile infection (CDI). Outcomes were stratified by race/ethnicity as captured in the electronic medical record. We defined the pre-pandemic period from 1/1/2019 to 2/29/2020 and the pandemic period from 3/1/2020 to 6/30/2021. Outcomes were reported by race/ethnicity as a proportion of the total events. Relative rates were compared using Poisson regression. Results. Overall, relatively few facilities consistently collect race/ethnicity information in surveillance databases within this hospital network (< 40%). Among 21 reporting hospitals, a greater proportion of CLABSI occurred in Black patients relative toWhite patients in both study periods (pre-pandemic, 49% vs 38%;during pandemic, 47% vs 31%;respectively, Figure 1a), while a higher proportion of CAUTI and CDI occurred in White patients (Figures 1b-c). Black patients had a 30% higher likelihood of CLABSI than White patients in the pre-COVID period (RR, 1.30;95% CI, 0.83-2.05), which was not statistically significant (Table 1). However, this risk significantly increased to 51% after the start of the pandemic (RR, 1.51;95% CI, 1.02-2.24). Similar trends were not observed in other HAI (Tables 2-3). Conclusion. We found differences in HAI rates by race/ethnicity in a network of community hospitals. Black patients had higher likelihood of CLABSI, and this likelihood increased during the pandemic. Patient safety events, including HAI, may differ across racial and ethnic groups and negatively impact health outcomes. (Figure Presented).
ABSTRACT
Background. Hospital-onset bloodstream infection (HOBSI) incidence has been proposed as a complementary quality metric to central line-associated bloodstream infection (CLABSI) surveillance. Several recent studies have detailed increases in median HOBSI and CLABSI rates during the COVID-19 pandemic. We sought to understand trends in HOBSI and CLABSI rates at a single health system in the context of COVID-19. Methods. We conducted a retrospective analysis of HOBSIs and CLABSIs at a three-hospital health system from 2017 to 2021 (Figure 1). We compared counts, denominators, and demographic data for HOBSIs and CLABSIs between the prepandemic (1/1/2017-3/30/2020) and pandemic period (4/1/2020-12/31/2021) (Table 1). We applied Poisson or negative binomial regression models to estimate the monthly change in incidence of HO-BSI and CLABSI rates over the study period. Figure 1: Definitions applied for hospital-onset bloodstream infections (HO-BSIs) and central line-associated bloodstream infections (CLABSIs). Potentially contaminated blood cultures were identified by microbiology laboratory technicians as any set of blood culture in which a single bottle was positive for organisms typically considered as skin contaminants. Uncertain cases undergo secondary review by senior lab technicians. Table 1: Count, denominator, and device utilization ratio data for hospital-onset bloodstream infections (HO-BSIs) and central line-associated bloodstream infections (CLABSIs) Note that central line utilization increased upon regression analysis (p<0.001). Results. The median monthly HOBSI rate per 1,000 patient days increased from 1.0 in the pre-pandemic to 1.3 (p< 0.01) in the pandemic period, whereas the median monthly CLABSI rate per central line days was stable (1.01 to 0.88;p=0.1;Table 2). Our regression analysis found that monthly rates of HO-BSIs increased throughout the study, but the increase was not associated with the onset of the COVID-19 pandemic based on comparisons of model fit (Figure 2;Table 3). Despite an increase in central line utilization, regression modelling found no changes in monthly CLABSIs rates with respect to time and the COVID-19 pandemic. Incidence of HOBSIs and CLABSIs by common nosocomial organisms generally increased over this time period, though time to infection onset remained unchanged in our studied population (Table 2). Conclusion. HOBSIs rates did not correlate with CLABSI incidence across a three-hospital health system from 2017 and 2021, as rates of HOBSI increased but CLABSI rates remained flat. Our observed increase in HOBSI rates did not correlate with the onset of the COVID-19 pandemic, and caution should be used in modeling the effects of COVID-19 without time-trended analysis. Further evaluation is needed to understand the etiology, epidemiology, and preventability of HO-BSI.
ABSTRACT
Background: We evaluated the impact of a comprehensive SARS-CoV-2 (COVID-19) infection prevention (IP) bundle on rates of non–COVID-19 healthcare-acquired respiratory viral infection (HA-RVI). Methods: We performed a retrospective analysis of prospectively collected respiratory viral data using an infection prevention database from April 2017 to January 2021. We defined HA-RVI as identification of a respiratory virus via nasal or nasopharyngeal swabs collected on or after hospital day 7 for COVID-19 and non–COVID-19 RVI. We compared incident rate ratios (IRRs) of HA-RVI for each of the 3 years (April 2017 to March 2020) prior to and 10 months (April 2020 to January 2021) following full implementation of a comprehensive COVID-19 IP bundle at Duke University Health System. The COVID-19 IP bundle consists of the following elements: universal masking;eye protection;employee, patient, and visitor symptom screening;contact tracing;admission and preprocedure testing;visitor restrictions;discouraging presenteeism;population density control and/or physical distancing;and ongoing attention to basic horizontal IP strategies including hand hygiene, PPE compliance, and environmental cleaning. Results: During the study period, we identified 715 HA-RVIs over 1,899,700 inpatient days, for an overall incidence rate of 0.38 HA-RVI per 1,000 inpatient days. The HA-RVI IRR was significantly higher during each of the 3 years prior to implementing the COVID-19 IP bundle (Table 1). The incidence rate of HA-RVI decreased by 60% after bundle implementation. COVID-19 became the dominant HA-RVI, and no cases of HA-influenza occurred in the postimplementation period (Figure 1). Conclusions: Implementation of a comprehensive COVID-19 IP bundle likely contributed to a reduction in HA-RVI for hospitalized patients in our healthcare system. Augmenting traditional IP interventions in place during the annual respiratory virus season may be a future strategy to reduce rates of HA-RVI for inpatients.Table 1.Figure 1.
ABSTRACT
Background. We aimed to describe SARS-CoV-2 (COVID-19) infections among employees in a large, academic institution. Methods. We prospectively tracked and traced COVID-19 infections among employees across our health system and university. Each employee with a confirmed positive test and 3 presumed positive cases were interviewed with a standard contact tracing template that included descriptive variables such as high-risk behaviors and contacts, dates worked while infectious, and initial symptoms. Using this information, the most likely location of infection acquisition was adjudicated (Table 1). We compared behavior frequency between community and unknown, likely community and community and unknown cases using descriptive statistics. Results. From 3/2020 to 4/2021 we identified 3,140 COVID-19 infections in 3,119 employees out of a total of 34,562 employees (9.0%) (Figure 1). Of those 3,119 employees 1,685 (54.0%) were clinical employees working in the health system, 916 (29.4%) were non-clinical employees working in the health system, and 518 (16.6%) were university employees. Descriptive characteristics for the COVID-19 infections and adjudications are outlined in Table 2. Severe disease among employees was significantly less frequent compared to patients in the health system (15.3% vs 2.2%, p< 0.01). The frequency of travel within 14 days, masked gatherings and unmasked gatherings/ activities was not significantly different between the community and unknown, likely community groups or the community and unknown groups (Table 3). Conclusion. The majority of COVID-19 infections were linked to acquisition in the community, and few were attributed to workplace exposures. Employees with unknown sources of COVID-19 participated in higher-risk activities at approximately the same frequency as employees with community sources of COVID-19. The most frequently reported initial symptoms were mild and non-specific and rarely included fever. Despite a comprehensive testing and benefit program, a large proportion of COVID-positive employees worked with symptoms, highlighting ongoing challenges with presenteeism in healthcare.
ABSTRACT
Background. Children infected with SARS-CoV-2 often have mild or no symptoms, making symptom screening an ineffective tool for determining isolation precautions. As an infection control measure, universal pre-procedural and admission SARS-CoV-2 testing for pediatric patients was implemented in April and August 2020, respectively. Limited data exist on the utility screening programs in the pediatric population. Methods. We performed a retrospective cohort study of pediatric patients (birth to 18 years) admitted to a tertiary care academic medical center from April 2020 to May 2021 that had one or more SARS-CoV-2 point-of-care or polymerase chain reaction tests performed. We describe demographic data, positivity rates and repeat testing trends observed in our cohort. Results. A total of 2,579 SARS-CoV-2 tests were performed among 1,027 pediatric inpatients. Of these, 51 tests (2%) from 45 patients (4.3%) resulted positive. Community infection rates ranged from 4.5-60 cases/100,000 persons/day during the study period. Hispanic patients comprised 16% of the total children tested, but were disproportionately overrepresented (40%) among those testing positive (Figure1). Of 654 children with repeated tests, 7 (0.1%) converted to positive from a prior negative result. Median days between repeat tests was 12 (IQR 6-45), not necessarily performed during the same hospital stay. Five of these 7 patients had tests repeated < 3 days from a negative result, of which only 2 had no history of recent infection by testing performed at an outside facility. Pre-procedural tests accounted for 35% of repeat testing, of which 0.9% were positive. Repeated tests were most frequently ordered for patients in hematology/ oncology (35%) and solid organ transplant/surgical (33%) wards, each with < 3% positive conversion rate. Notably, no hematopoietic stem cell transplant patients tested positive for SARS-CoV-2 during the study period. Conclusion. The positivity rate of universal pre-procedural and admission SARSCoV-2 testing in pediatric patients was low in our inpatient cohort. Tests repeated < 3 days from a negative result were especially low yield, suggesting limited utility of this practice. Diagnostic testing stewardship in certain populations may be useful, especially as community infection rates decline.
ABSTRACT
Background. Data on occupational acquisition of COVID-19 in healthcare settings are limited. Contact tracing efforts are high resource investments. Methods. Duke Health developed robust COVID-19 contact tracing methods as part of a comprehensive prevention program. We prospectively collected data on HCW exposures and monitored for development of symptomatic (SYX) and asymptomatic (ASYX) COVID-19 infection after documented high-, medium, and low-risk exposures. HCWs were required to self-report exposures or were identified through contact tracing as potentially exposed to COVID-19 positive HCWs, patients or visitors. Contact tracers interviewed exposed HCWs and assessed the risk of exposure as high-, medium-, or low-risk based on CDC guidance (Table 1). Testing was recommended at 6 days after high- or medium-risk exposures and was provided upon HCW request following low-risk exposures. Our vaccination campaign began in 12/2020. Results. 12,916 HCWs registered in the contact tracing database. From March 2020-May 2021, we identified 6,606 occupational exposures (0.51 exposures/HCW). The highest incidence of workplace exposures per number of HCWs in each job category was among respiratory therapists (RT) (0.95 exposures/RT), nursing assistants (NA) (0.79 exposures/NA), and physicians (0.64 exposures/physician). The most common exposure risk level was medium (51.4%), followed by low (35.5%), and then high (13.1%). A total of 260 (2%) HCW had positive tests/conversions;28 (10.8%) were ASYX at the time of testing. High-risk exposures had a significantly greater number of post-exposure infections compared to medium- and low-risk exposures (12.5% vs. 4.2%, vs. 0.4%;p < 0.001). The rate of SYX infection following exposure to a fellow HCW (179/3,198;5.6%) was higher than that following exposure to a patient (81/3,408;2.4%;p< 0.001). Conclusion. Conversion following exposure to COVID-19 in the healthcare setting with appropriate protective equipment was low. Incomplete testing of all exposed individuals was a limitation and our data may under-estimate the true conversion rate. Our findings support our local practice of not quarantining HCWs following non-household exposures. Limiting contact tracing to only high or medium risk exposures may best utilize limited personnel resources.
ABSTRACT
Background. The COVID-19 pandemic significantly impacted hospitalizations and healthcare utilization. Diversion of infection prevention resources toward COVID-19 mitigation limited routine infection prevention activities such as rounding, observations, and education in all areas, including the peri-operative space. There were also changes in surgical care delivery. The impact of the COVID-19 pandemic on SSI rates has not been well described, especially in community hospitals. Methods. We performed a retrospective cohort study analyzing prospectively collected data on SSIs from 45 community hospitals in the southeastern United States from 1/2018 to 12/2020. We included the 14 most commonly performed operative procedure categories, as defined by the National Healthcare Safety Network. Coronary bypass grafting was included a priori due to its clinical significance. Only facilities enrolled in the network for the full three-year period were included. We defined the pre-pandemic time period from 1/1/18 to 2/29/20 and the pandemic period from 3/1/20 to 12/31/20. We compared monthly and quarterly median procedure totals and SSI prevalence rates (PR) between the pre-pandemic and pandemic periods using Poisson regression. Results. Pre-pandemic median monthly procedure volume was 384 (IQR 192-999) and the pre-pandemic SSI PR per 100 cases was 0.98 (IQR 0.90-1.04). There was a transient decline in surgical cases beginning in March 2020, reaching a nadir of 185 cases in April, followed by a return to pre-pandemic volume by June (figure 1). Overall and procedure-specific SSI PRs were not significantly different in the COVID-19 period relative to the pre-pandemic period (total PR per 100 cases 0.96 and 0.97, respectively, figure 2). However, when stratified by quarter and year, there was a trend toward increased SSI PR in the second quarter of 2020 with a PRR of 1.15 (95% CI 0.96-1.39, table 1). Conclusion. The decline in surgical procedures early in the pandemic was shortlived in our community hospital network. Although there was no overall change in the SSI PR during the study period, there was a trend toward increased SSIs in the early phase of the pandemic (figure 3). This trend could be related to deferred elective cases or to a shift in infection prevention efforts to outbreak management.