Restricting infectious healthcare workers (HCWs) from the workplace is an important infection prevention strategy. The duration of viral shedding or symptoms are often used as proxies for the infectious period in adults but may not accurately estimate it.

To determine the risk period for transmission among previously healthy adults infected with SARS-CoV-2 omicron variant (omicron) or influenza A (influenza) by examining the duration of shedding and symptoms, and day of symptom onset in secondary cases of transmission pairs.

Rapid review

This rapid review adhered to PRISMA-ScR; five databases were searched. The cumulative daily proportion of participants with an outcome of interest was calculated for each study and summarized.

Forty-three studies were included. Shedding resolved among ≥ 70% of participants by the end of day nine post symptom onset for omicron, and day seven for influenza; and for ≥ 90% of participants, by the end of day 10 for omicron and day nine for influenza. Two studies suggested shedding continues > 24 hours post-fever resolution for both viruses. Symptom onset occurred in ≥ 80% of secondary cases by the end of day seven post-primary case symptom onset for omicron and day six for influenza.

Omicron shedding is consistent with previous recommendations to exclude infected HCWs from work for 10 days; and influenza follows a similar trend. Earlier symptom onset in most secondary cases for both pathogens indicates that, despite persistent viral shedding, most transmission occurs earlier; and the cumulative serial interval might better approximate the duration of infectiousness.

To evaluate the impact of a mobile-app-based central line-associated bloodstream infection (CLABSI) prevention program in nursing home residents with peripherally inserted central catheters (PICCs).

Pre-post prospective cohort study with baseline (September 2015–December 2016), phase-in (January 2017–April 2017), and intervention (May 2017–December 2018). Generalized linear mixed models compared intervention with baseline frequency of localized inflammation/infection, dressing peeling, and infection-related hospitalizations. Cox proportional hazards models compared days-to-removal of lines with localized inflammation/infection.

Six nursing homes in Orange County, California.

Adult nursing home residents with PICCs.

CLABSI prevention program consisting of an actionable scoring system for identifying insertion site infection/inflammation coupled with a mobile-app enabling photo-assessments and automated physician alerting for remote response.

We completed 8,131 assessments of 817 PICCs in 719 residents (baseline: 4,865 assessments, 422 PICCs, 385 residents; intervention: 4,264 assessments, 395 PICCs, 334 residents). The intervention was associated with 57% lower odds of peeling dressings (OR 0.43, 95% CI 0.28–0.64, P < .001), 73% lower local inflammation/infection (OR = 0.27, 95% CI: 0.13–0.56, P < .001), and 41% lower risk of infection-related hospitalizations (OR = 0.59, 95% CI: 0.42–0.83, P = .002). Physician mobile-app alerting and response enabled 62% lower risk of lines remaining in place after inflammation/infection was identified (HR 0.38, CI: 0.24–0.62, P < .001) and 95% faster removal of infected lines from mean (SD) 19 (20) to 1 (2) days.

A mobile-app-based CLABSI prevention program decreased the frequency of inflamed/infected central line insertion sites, improved dressing integrity, increased speed of removal when inflammation/infection were found, and reduced infection-related hospitalization risk.

Bathing intensive care unit (ICU) patients with chlorhexidine gluconate (CHG) decreases healthcare-associated infections (HAIs). The optimal method of CHG bathing remains undefined.

Prospective crossover study comparing CHG daily bathing with 2% CHG-impregnated cloths versus 4% CHG solution. In phase 1, from January 2020 through March 2020, 1 ICU utilized 2% cloths, while the other ICU utilized 4% solution. After an interruption caused by the coronavirus disease 2019 pandemic, in phase 2, from July 2020 through September 2020, the unit CHG bathing assignments were reversed. Swabs were performed 3 times weekly from patients’ arms and legs to measure skin microbial colonization and CHG concentration. Other outcomes included HAIs, adverse reactions, and skin tolerability.

411 assessments occurred after baths with 2% cloth, and 425 assessments occurred after baths with 4% solution. Average microbial colonization was 691 (interquartile range 0, 30) colony-forming units per square centimeter (CFU/cm2) for patients bathed with 2% cloths, 1,627 (0, 265) CFUs/cm2 for 4% solution, and 8,519 (10, 1130) CFUs/cm2 for patients who did not have a CHG bath (P < .001). Average CHG skin concentration (parts per million) was 1300.4 (100, 2000) for 2% cloths, 307.2 (30, 200) for 4% solution, and 32.8 (0, 20) for patients without a recorded CHG bath. Both CHG bathing methods were well tolerated. Although underpowered, no difference in HAI was noted between groups.

Either CHG bathing method resulted in a significant decrease in microbial skin colonization with a greater CHG concentration and fewer organisms associated with 2% CHG cloths.

Environmental features of a patient’s room depend on the patient’s level of acuity and their clinical manifestations upon admission and during their hospital stay. In this study, we wish to apply statistical methodology to explore the association between room features and hospital onset infections caused by Clostridioides difficile (HO-CDI) while accounting for room assignment.

We conducted a nested case–control study using retrospective electronic health record (EHR) data of patients hospitalized at the Ohio State University Wexner Medical Center (OSUWMC) between January 2019 and April 2021. We collected clinical information and combined that with room-based information, collected as surveys. Data were analyzed to assess the association between room factors and HO-CDI.

2427 patients and 968 unique rooms were included in the study. Results indicated protective effects for rooms with cubical curtains near the patient (OR = 0.705, 95% CI = 0.549–0.906), rooms with separate shower units (OR = 0.674, 95% CI = 0.528–0.860), rooms with wall-mounted toilets (OR = 0.749, 95% CI = 0.592–0.950), rooms with sliding bathroom doors (OR = 0.593, 95% CI = 0.432–0.816), and sliding door knobs (OR = 0.593, 95% CI = 0.431-0.815). Rooms with manual paper towel dispensers had increased odds of HO-CDI (OR = 1.334, 95% CI = 1.053–1.691) compared to those with automatic towel dispensers.

Results suggest possible association between specific room features and HO-CDI, which could be further investigated with techniques like environmental sampling. Moreover, findings from the study offer valuable insights for targeted intervention measures.

Patients with chronic kidney disease suffer from immune dysfunction, increasing susceptibility to infections. The aim of the study was to investigate air contamination with respiratory viruses in a dialysis unit at a quaternary hospital using molecular detection techniques and to analyze airflow dynamics through computational fluid dynamics (CFD) simulations for a comprehensive assessment of air transmission risks.

We conducted dialysis unit air sampling using AerosolSense™ samplers. Air and clinical sampling occurred during three periods in 2022: winter, early, and late fall. A technical team maintained the dialysis unit’s ventilation system during mid fall. Ventilation system capacity and airflow rates were measured. CFD simulations were used to evaluate airflow dynamics.

The investigation collected 144 air samples, revealing heterogeneous virus detection rates across locations and study periods. Virus positivity correlated with the presence of patients and the effectiveness of the ventilation system. The ratio of virus air positivity to virus patient positivity was 1.84 and 3.35 during the first and the second periods, respectively, and collapsed to 0.64 after maintenance. Airflow rate measurements highlighted a ninefold discrepancy between actual and theoretical airflow (393 m3/h vs. 3530 m3/h), which was rectified by maintenance actions. Airflow dynamics and particle dispersion visualization through CFD simulations contributed to a better understanding of transmission risks.

Detection of viruses in the air, combined with CFD, revealed deficiencies in air renewal. Maintenance interventions significantly improved airflow dynamics and particle dispersion, reducing airborne virus spread.

Urgent care centers (UCCs) have reported high rates of antibiotic prescribing for acute respiratory tract infections. Prior UCC studies have generally been limited to single networks. Broadly generalizable stewardship efforts targeting common diagnoses are needed. This study examines the effectiveness of an antibiotic stewardship intervention in reducing inappropriate prescribing for bronchitis and viral upper respiratory tract infections (URTIs) in UCCs.

A quality improvement study comparing inappropriate antibiotic prescribing rates in UCCs after the introduction of an antibiotic stewardship intervention.

Forty-nine UCCs in 27 different networks from 18 states, including 1 telemedicine site.

Urgent care clinicians from a national collaborative of UCCs, all members of the Urgent Care Association.

The intervention included signing a commitment statement and selecting from 5 different intervention options during 3 plan-do-study-act cycles. The primary outcome was the percentage of urgent care encounters for viral URTIs or bronchitis with inappropriate prescribing, stratified by clinician engagement and diagnosis. A 3-month baseline and 9-month intervention period were compared using a regression model using a generalized estimating equation.

Among 15,385 encounters, the intervention was associated with decreases in inappropriate antibiotic prescribing for bronchitis (48% relative decrease, aOR = 0.52; 95% CI, 0.33–0.83) and viral URTIs (33%, aOR = 0.67; 95% CI, 0.55–0.82) among actively engaged clinicians compared to baseline. The intervention did not result in significant changes for clinicians not actively engaged.

This intervention was associated with reductions in inappropriate prescribing among actively engaged clinicians. Implementing stewardship interventions in UCCs may reduce inappropriate antibiotic prescriptions for common diagnoses; however, active clinician engagement may be necessary.

Skin and soft tissue infections (SSTIs) account for over 2.8 million annual emergency department (ED) visits and often result in suboptimal antibiotic therapy. The objective of this study was to evaluate a set of interventions in minimizing inappropriate prescription of antibiotics for presumed SSTIs in the ED.

Case vignette survey.

A national sample of emergency medicine (EM) physicians.

Each vignette described a clinical scenario of a presumed SSTI (cellulitis or abscess) and included a unique combination of zero to five interventions (outpatient follow-up, inappropriate antibiotic request flag, thermal imaging for cellulitis or rapid wound MRSA PCR for abscess, patient education/shared decision-making, and clinical decision support). Out of 64 possible vignettes, we asked participants to respond to eight vignettes. Following each vignette, we asked participants if they would prescribe an antibiotic in their everyday practice (yes/no). We built adjusted hierarchical logistic regression models to estimate the probability of prescribing an antibiotic for each intervention and vignette.

Surveys were completed by 113 EM physicians. The thermal imaging, rapid wound MRSA PCR, and patient education/shared decision-making interventions showed the largest decrease (15–20%) in antibiotic prescribing probability. Vignettes with a combination of both a diagnostic intervention (thermal imaging or rapid wound MRSA PCR) and a patient education/shared decision-making intervention had the lowest prescribing probabilities.

We recommend future research focuses on the development and integration of novel diagnostic tools to identify true infection and incorporate shared decision-making to improve diagnosis and management of SSTIs.

We aimed to determine whether benchmarking antimicrobial use (AU) to antimicrobial resistance (AR) using select AU/AR ratios is more informative than AU metrics in isolation.

We retrospectively measured AU (antimicrobial therapy days per 1,000 days present) and AU/AR ratios (specific antimicrobial therapy days per corresponding AR event) in two hospitals during 2020 through 2022. We then had antimicrobial stewardship committee members evaluate each AU and corresponding AU/AR value and indicate whether they believed it represented potential overuse, appropriate use, or potential underuse of the antimicrobials, or whether they could not provide an assessment.

Two acute-care hospitals.

Hospitalized patients.

In semi-annual facility-wide analyses, echinocandins had a median AU/AR ratio of 658.5 therapy days per fluconazole-resistant Candida event in Hospital A, IV vancomycin had a median AU/AR ratio of 114.9 and 108.2 therapy days per methicillin-resistant Staphylococcus aureus event in Hospital A and B, respectively, and linezolid had a median AU/AR ratio of 33.8 and 88.0 therapy days per vancomycin-resistant Enterococcus event in Hospital A and B, respectively. When AU and AU/AR values were evaluated by stewardship committees, more respondents were able to assess antimicrobial use based on AU/AR values compared to AU values. Based on AU/AR ratios, most respondents identified potential overuse of echinocandins and IV vancomycin in Hospital A, and potential overuse of linezolid and IV vancomycin in Hospital B.

Select AU/AR ratios provided informative metrics to antimicrobial stewardship personnel, which can be used to motivate audits of antimicrobial administration to determine appropriateness.

Understanding healthcare personnel’s (HCP) contact patterns are important to mitigate healthcare-associated infectious disease transmission. Little is known about how HCP contact patterns change over time or during outbreaks such as the COVID-19 pandemic.

This study in a large United States healthcare system examined the social contact patterns of HCP via standardized social contact diaries. HCP were enrolled from October 2020 to June 2022. Participants completed monthly surveys of social contacts during a representative working day. In June 2022, participants completed a 2-day individual-level contact diary. Regression models estimated the association between contact rates and job type. We generated age-stratified contact matrices.

Three-hundred and sixty HCP enrolled, 157 completed one or more monthly contact diaries and 88 completed the intensive 2-day diary. In the monthly contact diaries, the median daily contacts were 15 (interquartile range (IQR) 8–20), this increased slightly during the study (slope-estimate 0.004, p-value 0.016). For individual-level contact diaries, 88 HCP reported 2,550 contacts over 2 days. HCP were 2.8 times more likely to contact other HCP (n = 1,592 contacts) than patients (n = 570 contacts). Rehabilitation/transport staff, diagnostic imaging technologists, doctors, nurses, mid-level, and laboratory personnel had higher contacts compared with the lowest contact group (Nursing aids). Contact matrices concentrated in working-age populations.

HCP contacts concentrate in their work environment, primarily with other HCP. Their contacts remained stable over time even during large changes to societal contact patterns during the COVID-19 pandemic. This stability is critical for designing outbreak and pandemic responses.

Clinical trials for assessing the effects of infection prevention and control (IPC) interventions are expensive and have shown mixed results. Mathematical models can be relatively inexpensive tools for evaluating the potential of interventions. However, capturing nuances between institutions and in patient populations have adversely affected the power of computational models of nosocomial transmission.

In this study, we present an agent-based model of ICUs in a tertiary care hospital, which directly uses data from the electronic medical records (EMR) to simulate pathogen transmission between patients, HCWs, and the environment. We demonstrate the application of our model to estimate the effects of IPC interventions at the local hospital level. Furthermore, we identify the most important sources of uncertainty, suggesting areas for prioritization in data collection.

Our model suggests that the stochasticity in ICU infections was mainly due to the uncertainties in admission prevalence, hand hygiene compliance/efficacy, and environmental disinfection efficacy. Analysis of interventions found that improving mean HCW compliance to hand hygiene protocols to 95% from 70%, mean terminal room disinfection efficacy to 95% from 50%, and reducing post-handwashing residual contamination down to 1% from 50%, could reduce infections by an average of 36%, 31%, and 26%, respectively.

In-silico models of transmission coupled to EMR data can improve the assessment of IPC interventions. However, reducing the uncertainty of the estimated effectiveness requires collecting data on unknown or lesser known epidemiological and operational parameters of transmission, particularly admission prevalence, hand hygiene compliance/efficacy, and environmental disinfection efficacy.