Resilience of the healthcare system has been described as the ability to absorb, adapt, and respond to stress while maintaining the provision of safe patient care. We quantified the impact that stressors associated with the COVID-19 pandemic had on patient safety, as measured by central line-associated bloodstream infections (CLABSIs) reported to the Centers for Disease Control and Prevention’s National Healthcare Safety Network.

Acute care hospitals were mandated to report markers of resource availability (staffing and hospital occupancy with COVID-19 inpatients) to the federal government between July 2020 and June 2021. These data were used with community levels of COVID-19 to develop a statistical model to assess factors influencing rates of CLABSIs among inpatients during the pandemic.

After risk adjustment for hospital characteristics, measured stressors were associated with increased CLABSIs. Staff shortages for more than 10% of days per month were associated with a statistically significant increase of 2 CLABSIs per 10,000 central line days versus hospitals reporting staff shortages of less than 10% of days per month. CLABSIs increased with a higher inpatient COVID-19 occupancy rate; when COVID-19 occupancy was 20% or more, there were 5 more CLABSIs per 10,000 central line days versus the referent (less than 5%).

Reporting of data pertaining to hospital operations during the COVID-19 pandemic afforded an opportunity to evaluate resilience of US hospitals. We demonstrate how the stressors of staffing shortages and high numbers of patients with COVID-19 negatively impacted patient safety, demonstrating poor resilience. Understanding stress in hospitals may allow for the development of policies that support resilience and drive safe care.

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 assist hospitals in reducing Clostridioides difficile infections (CDI), the Centers for Disease Control and Prevention (CDC) implemented a collaborative using the CDC CDI prevention strategies and the Targeted Assessment for Prevention (TAP) Strategy as foundational frameworks.

Acute-care hospitals.

We invited 400 hospitals with the highest cumulative attributable differences (CADs) to the 12-month collaborative, with monthly webinars, coaching calls, and deployment of the CDC CDI TAP facility assessments. Infection prevention barriers, gaps identified, and interventions implemented were qualitatively coded by categorizing them to respective CDI prevention strategies. Standardized infection ratios (SIRs) were reviewed to measure outcomes.

Overall, 76 hospitals participated, most often reporting CDI testing as their greatest barrier to achieving reduction (61%). In total, 5,673 TAP assessments were collected across 46 (61%) hospitals. Most hospitals (98%) identified at least 1 gap related to testing and at least 1 gap related to infrastructure to support prevention. Among 14 follow-up hospitals, 64% implemented interventions related to infrastructure to support prevention (eg, establishing champions, reviewing individual CDIs) and 86% implemented testing interventions (eg, 2-step testing, testing algorithms). The SIR decrease between the pre-collaborative and post-collaborative periods was significant among participants (16.7%; P < .001) but less than that among nonparticipants (25.1%; P < .001).

This article describes gaps identified and interventions implemented during a comprehensive CDI prevention collaborative in targeted hospitals, highlighting potential future areas of focus for CDI prevention efforts as well as reported challenges and barriers to prevention of one of the most common healthcare-associated infections affecting hospitals and patients nationwide.

Prevention of Clostridioides difficile infection (CDI) is a national priority and may be facilitated by deployment of the Targeted Assessment for Prevention (TAP) Strategy, a quality improvement framework providing a focused approach to infection prevention. This article describes the process and outcomes of TAP Strategy implementation for CDI prevention in a healthcare system.

Hospital A was identified based on CDI surveillance data indicating an excess burden of infections above the national goal; hospitals B and C participated as part of systemwide deployment. TAP facility assessments were administered to staff to identify infection control gaps and inform CDI prevention interventions. Retrospective analysis was performed using negative-binomial, interrupted time series (ITS) regression to assess overall effect of targeted CDI prevention efforts. Analysis included hospital-onset, laboratory-identified C. difficile event data for 18 months before and after implementation of the TAP facility assessments.

The systemwide monthly CDI rate significantly decreased at the intervention (β2, −44%; P = .017), and the postintervention CDI rate trend showed a sustained decrease (β1 + β3; −12% per month; P = .008). At an individual hospital level, the CDI rate trend significantly decreased in the postintervention period at hospital A only (β1 + β3, −26% per month; P = .003).

This project demonstrates TAP Strategy implementation in a healthcare system, yielding significant decrease in the laboratory-identified C. difficile rate trend in the postintervention period at the system level and in hospital A. This project highlights the potential benefit of directing prevention efforts to facilities with the highest burden of excess infections to more efficiently reduce CDI rates.

Presenteeism, or working while ill, by healthcare personnel (HCP) experiencing influenza-like illness (ILI) puts patients and coworkers at risk. However, hospital policies and practices may not consistently facilitate HCP staying home when ill.

We conducted a mixed-methods survey in March 2018 of Emerging Infections Network infectious diseases physicians, describing institutional experiences with and policies for HCP working with ILI.

Of 715 physicians, 367 (51%) responded. Of 367, 135 (37%) were unaware of institutional policies. Of the remaining 232 respondents, 206 (89%) reported institutional policies regarding work restrictions for HCP with influenza or ILI, but only 145 (63%) said these were communicated at least annually. More than half of respondents (124, 53%) reported that adherence to work restrictions was not monitored or enforced. Work restrictions were most often not perceived to be enforced for physicians-in-training and attending physicians. Nearly all (223, 96%) reported that their facility tracked laboratory-confirmed influenza (LCI) in patients; 85 (37%) reported tracking ILI. For employees, 109 (47%) reported tracking of LCI and 53 (23%) reported tracking ILI. For independent physicians, not employed by the facility, 30 (13%) reported tracking LCI and 11 (5%) ILI.

More than one-third of respondents were unaware of whether their institutions had policies to prevent HCP with ILI from working; among those with knowledge of institutional policies, dissemination, monitoring, and enforcement of these policies was highly variable. Improving communication about work-restriction policies, as well as monitoring and enforcement, may help prevent the spread of infections from HCP to patients.