Five steps to high quality antimicrobial stewardship research.

The escalating threat of antimicrobial resistance (AMR) necessitates impactful, reproducible, and scalable antimicrobial stewardship strategies. This review addresses the critical need to enhance the quality of antimicrobial stewardship intervention research. We propose five considerations for authors planning and evaluating antimicrobial stewardship initiatives. Antimicrobial stewards should consider the following mnemonic ABCDE: (A) plan Ahead using implementation science; (B) Be clear and thoroughly describe the intervention by using the TidIER checklist; (C) Use a Checklist to comprehensively report study components; (D) Select a study Design carefully; and (E) Assess Effectiveness and implementation by selecting meaningful outcomes. Incorporating these recommendations will help strengthen the evidence base of antimicrobial stewardship literature and support optimal implementation of strategies to mitigate AMR.

Confronting the Disruption of the Infectious Diseases Workforce by Artificial Intelligence: What This Means for Us and What We Can Do About It.

With the rapid advancement of artificial intelligence (AI), the field of infectious diseases (ID) faces both innovation and disruption. AI and its subfields including machine learning, deep learning, and large language models can support ID clinicians' decision making and streamline their workflow. AI models may help ensure earlier detection of disease, more personalized empiric treatment recommendations, and allocation of human resources to support higher-yield antimicrobial stewardship and infection prevention strategies. AI is unlikely to replace the role of ID experts, but could instead augment it. However, its limitations will need to be carefully addressed and mitigated to ensure safe and effective implementation. ID experts can be engaged in AI implementation by participating in training and education, identifying use cases for AI to help improve patient care, designing, validating and evaluating algorithms, and continuing to advocate for their vital role in patient care.

Minimizing Low-Value, Uncompensated Work in Academic Infectious Diseases: A 6-Step Program.

Uncompensated work in academic infectious diseases (ID) may be high value (eg, important for academic promotion or necessary for advancement to leadership roles) or low value (eg, not aligning with or contributing to professional goals and aspirations). "Curbside" consultations, participation in hospital committees outside of professional interests, and other "citizenship" tasks are common examples of threats to our valuable time as ID providers. Herein, we define the scope of the problem of low-value uncompensated work in academic ID and outline a 6-step program to minimize these threats. Collaboration with professional sponsors, such as division chiefs, to align individual and team goals and use of a "value-versus-compensation" matrix to prioritize activities may help us establish our own agendas and reclaim our professional autonomy.

Contact precautions as a barrier to hand hygiene: The Plan-Do-Study-Act (PDSA) framework to improve compliance with gloved hand hygiene.

In an identified quality improvement effort, nurses were observed regarding their workflow while in contact precaution rooms. Multiple opportunities for hand hygiene were missed while nurses were in gloves, predominantly while moving between "dirty" and "clean" tasks. An education initiative afterward did not show improvement in hand hygiene rates.

Are reporting guidelines used in infectious diseases publications? An analysis of more than 1,000 articles.

Objective: To assess whether 16 reporting guidelines of Enhancing the QUAlity and Transparency Of Health Research (EQUATOR) were used in infectious diseases research publications. Design: This cross-sectional, audit-type study assessed articles published in five infectious diseases journals in 2019. Methods: All articles were manually reviewed to assess if a reporting guideline was advisable and searched for the names and acronyms of 16 reporting guidelines. An "advisable use rate" was calculated. Results: We reviewed 1,251 manuscripts across five infectious diseases journals. Guideline use was advisable for 973 (75%) articles. Reporting guidelines were used in 85 articles, 6.1% of total articles, and 8% (95% CI 6%-9%) of articles for which guidelines were advised. The advisable use rate ranged from 0.06 to 0.17 for any guideline, 0-0.08 for CONSORT, 0.53-1 for Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), and 0-0.66 for Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) : The TRIPOD statement. No trends were observed across the five journals. Conclusions: The use of EQUATOR-related reporting guidelines is infrequent, despite journals and publishers promoting their usage. Whether this finding is attributable to knowledge, acceptance, or perceived usefulness of the guidelines still needs to be clarified.

A comparison of severity of illness between the SARS-CoV-2 Omicron variant and Delta variant.

Background: The COVID-19 pandemic has disproportionally affected traditionally marginalized groups. Both the Delta and Omicron variants raised concern amongst public health officials due to potentially higher infectivity rates and disease severity than prior variants. This study sought to compare disease severity between adults infected with the Omicron variant and adults infected with the Delta variant who presented to the Emergency Department at an academic, safety-net hospital in Virginia. Methods: This retrospective cohort study used electronic medical record data of patients who presented to the Emergency Department and received a positive SARS-CoV-2 test between September 1, 2021, and January 31, 2022. Positive tests were stratified by genotypic variant through whole genome sequencing. Participants with the Omicron variant were propensity scores matched with individuals with the Delta variant. Results: Among 500 Delta and 500 Omicron participants, 279 propensity score-matched pairs were identified. Participants were predominantly unvaccinated, with medical comorbidities, and self-identified as Black. Individuals infected with the Delta variant had more severe disease compared to those with the Omicron variant, regardless of vaccination status. Patients with kidney, liver, and respiratory disease, as well as cancer, are at higher risk for severe disease. Patients with 2 doses of COVID-19 immunization trended toward less severe disease. Conclusions: Overall, these data further support the literature regarding the disproportionate effects of the COVID-19 pandemic on vulnerable patient populations - such as those with limited access to care, people of color, and those with chronic medical conditions - and can be used to inform public health interventions.

Gender balance in infectious diseases and hospital epidemiology journals.

Objective: Diversity is recognized as a driver of excellence and innovation. Women represent a significant part of the infectious diseases (ID) and hospital epidemiology (HE) workforce. We aimed to assess gender representation among editors of top ID and HE journals and explore potential correlations with the gender of first and last authors in published articles. Methods: Using Scimago Journal & Country Rank, we identified 40 ID and 4 HE high-ranking journals. Editorial members were categorized by decision-making influence (levels I-III). We retrieved names of first and corresponding authors from 12 ID-focused journals' 2019 research articles. Gender assignment for editors, first authors, and last authors utilized digital galleries and manual searches. Results: Among 2,797 editors from 44 journals, 33% were women. Female representation varied across editorial levels: 26% at level I, 36% at level II, and 31% at level III. Gender balance disparities existed among journals. Female first authors accounted for 50%, and female last authors accounted for 36% of the 2,725 published articles. We found weak but significant correlations between the editors' gender and the gender of the first and last authors. Conclusion: Gender representation among ID and HE journal editors displayed unevenness, but no overt vertical segregation was observed. A generational transition among authors may be underway. Our findings suggest that a generational transition may be occurring among authors.

Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort.

BACKGROUND: Virginia is a large state in the USA, yet it remains unclear what percentage of the population has had natural COVID-19 infection and whether risk factors for infection have changed over time. METHODS: Using a longitudinal cohort, from December 2021-July 2022 we performed follow up serology and a questionnaire on 784 individuals from across Virginia who had previously participated in a statewide COVID-19 seroepidemiology study in 2020. Children were also invited to participate and an additional 62 children also completed the study. Serology was performed using Roche nucleocapsid and spike serological assays. RESULTS: The majority of participants were white (78.6%), over 50 years old (60.9%), and reported having received COVID-19 vaccine (93.4%). 28.6% had evidence of prior COVID-19 infection (nucleocapsid positive). Reweighted by region, age, and sex to match the Virginia census data, the seroprevalence of nucleocapsid antibodies was estimated to be 30.6% (95% CI: 24.7, 36.6). We estimated that 25-53% of COVID-19 infections were asymptomatic. Infection rates were lower in individuals > 60 years old and were higher in Blacks and Hispanics. Infection rates were also higher in those without health insurance, in those with greater numbers of household children, and in those that reported a close contact or having undergone quarantine for COVID-19. Participants from Southwest Virginia had lower seropositivity (16.2%, 95% CI 6.5, 26.0) than other geographic regions. Boosted vaccinees had lower infection rates than non-boosted vaccinees. Frequenting indoor bars was a risk factor for infection, while frequently wearing an N95 mask was protective, though the estimates of association were imprecise. Infection rates were higher in children than adults (56.5% vs. 28.6%). Infection in the parent was a risk factor for child infection. Spike antibody levels declined with time since last vaccination, particularly in those that were vaccinated but not previously infected. Neutralizing antibody positivity was high (97-99%) for wild type, alpha, beta, gamma, delta, and omicron variants. Neutralizing antibody levels were higher in the follow-up survey compared to the first survey in 2020 and among individuals with evidence of natural infection compared to those without. CONCLUSIONS: In this longitudinal statewide cohort we observed a lower-than-expected COVID-19 infection rate as of August 2022. Boosted vaccinees had lower infection rates. Children had higher infection rates and infections tracked within households. Previously identified demographic risk factors for infection tended to persist. Even after the omicron peak, a large number of Virginians remain uninfected with COVID-19, underscoring the need for ongoing vaccination strategies.

Estimating the effect of active detection and isolation on Clostridioides difficile infections in a bone marrow transplant unit.

OBJECTIVE: To model the effects of active detection and isolation (ADI) regarding Clostridioides difficile infection (CDI) in the bone marrow transplant (BMT) unit of our hospital. SETTING: ADI was implemented in a 21-patient bone marrow unit. PATIENTS: Patients were bone marrow recipients on this unit. INTERVENTIONS: We compared active ADI, in which patients who tested positive for colonization of C. difficile before their hospital stay were placed under extra contact precautions, with cases not under ADI. RESULTS: Within the BMT unit, ADI reduced total cases of CDI by 24.5% per year and reduced hospital-acquired cases by ∼84%. The results from our simulations also suggest that ADI can save ∼$67,600 per year in healthcare costs. CONCLUSIONS: Institutions with active BMT units should consider implementing ADI.

Characterizing burnout among healthcare epidemiologists in the early phases of the COVID-19 pandemic: A study of the SHEA Research Network.

A multisite research team proposed a survey to assess burnout among healthcare epidemiologists. Anonymous surveys were disseminated to eligible staff at SRN facilities. Half of the respondents were experiencing burnout. Staffing shortages were a key stressor. Allowing healthcare epidemiologists to provide guidance without directly enforcing policies may improve burnout.

Leading teams while exhausted: Perspectives from healthcare epidemiology and beyond.

Mental fatigue and burnout are concerns for healthcare organizations, but their effects on leaders have not been thoroughly studied. Infectious diseases teams and leaders are at risk for mental fatigue and burnout due to the increased demands from the coronavirus disease 2019 (COVID-19) pandemic, additive effects of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) (omicron) and δ (delta) variant surges, and unique pre-existing pressures. No single intervention can reduce stress and burnout in healthcare workers. Work-hour limitations may have the biggest impact in physician burnout mitigation. Institutional and individual programs focused on mindfulness may improve well-being in the workplace. Leading during times of stress requires a multimodal approach and an understanding of goals and priorities. Greater awareness of burnout and fatigue across the healthcare spectrum and continued research are required to advance healthcare worker well-being.