COVID-19 Surveillance: Not Everything That Counts Can be Counted, and not Everything That Can be Counted Countsa.

Infectious disease surveillance is one of the most valuable tools in monitoring the COVID-19 pandemic. Here we examine the components of an ideal surveillance system and assess the effectiveness of COVID-19 surveillance in North Carolina and around the world.

Preventable Patient Harm: a Multidisciplinary, Bundled Approach to Reducing Clostridium difficile Infections While Using a Glutamate Dehydrogenase/Toxin Immunochromatographic Assay/Nucleic Acid Amplification Test Diagnostic Algorithm.

Health care facility-onset Clostridium difficile infections (HO-CDI) are an important national problem, causing increased morbidity and mortality. HO-CDI is an important metric for the Center for Medicare and Medicaid Service's (CMS) performance measures. Hospitals that fall into the worst-performing quartile in preventing hospital-acquired infections, including HO-CDI, may lose millions of dollars in reimbursement. Under pressure to reduce CDI and without a clear optimal method for C. difficile detection, health care facilities are questioning how best to use highly sensitive nucleic acid amplification tests (NAATs) to aid in the diagnosis of CDI. Our institution has used a two-step glutamate dehydrogenase (GDH)/toxin immunochromatographic assay/NAAT algorithm since 2009. In 2016, our institution set an organizational goal to reduce our CDI rates by 10% by July 2017. We achieved a statistically significant reduction of 42.7% in our HO-CDI rate by forming a multidisciplinary group to implement and monitor eight key categories of infection prevention interventions over a period of 13 months. Notably, we achieved this reduction without modifying our laboratory algorithm. Significant reductions in CDI rates can be achieved without altering sensitive laboratory testing methods.

Reduction of Healthcare-Associated Infections by Exceeding High Compliance with Hand Hygiene Practices.

Improving hand hygiene from high to very high compliance has not been documented to decrease healthcare-associated infections. We conducted longitudinal analyses during 2013-2015 in an 853-bed hospital and observed a significantly increased hand hygiene compliance rate (p<0.001) and a significantly decreased healthcare-associated infection rate (p = 0.0066).

Assessing compliance of infection prevention mitigation strategies in hospital construction and renovation.

Hospital-associated fungal infections from construction and renovation activities can be mitigated using an infection control risk assessment (ICRA) and implementation of infection prevention measures. The effectiveness of these measures depends on proper installation and maintenance. Consistent infection prevention construction rounding with feedback is key to ongoing compliance.

A comparison of methods for microbiologic environmental sampling.

We compared the effectiveness of 4 sampling methods to recover Staphylococcus aureus, Klebsiella pneumoniae and Clostridioides difficile from contaminated environmental surfaces: cotton swabs, RODAC culture plates, sponge sticks with manual agitation, and sponge sticks with a stomacher. Organism type was the most important factor in bacterial recovery.

Methodologic challenges and lessons learned through conducting a hospital-based Salmonella Javiana case-control study.

OBJECTIVE: Determine the food(s) most likely contaminated by Salmonella Javiana associated with a salmonellosis outbreak involving 2 hospitals in North Carolina that were within 50 miles of each other in November 2021. METHODS: A 2:1 matched case-control study was conducted. Food histories were obtained from hospital food orders and potential confounder covariates were collected from patient medical records. Attack rates and conditional logistic regression odds ratios (OR) were estimated at the 80% confidence interval (CI) for each food exposure and salmonellosis. RESULTS: There were 21 cases and 42 controls included. Fruit cups had the strongest association with salmonellosis (matched and adjusted OR = 7.9 80% CI: 2.7, 23.6). Hospital-specific ORs varied for several food items, but attack rates analyses provided additional evidence that fruit cups were a likely common source. CONCLUSION: Our analyses implicated fruit cups in an outbreak of salmonellosis in 2 hospitals. Other methodologic challenges included selection of controls among sick patients, heterogeneity of food exposures, reliance on food orders rather than foods consumed, and retention of food history records. Understanding and anticipating these challenges through changes to policies and operational procedures is critical for conducting efficient and effective case-control studies in the hospital setting.

Standing-up COVID-19 monoclonal antibody infusion centers: Infection prevention and control.

This paper describes the creation of outpatient monoclonal antibody (mAb) infusion centers for COVID-19 patients in a large academic medical center. It shows how the early and consistent partnership between infection prevention and the clinical and operational teams to establish and implement policies and procedures led to efficient and safe workflows.

A helping hand: The impact of a central line insertion support team.

As part of a central line-associated bloodstream infections prevention initiative, our academic medical center formed a dedicated nursing team to assist with central line insertions and provide support with caring for difficult lines and dressings. During the program's first 3 years, the proportion of insertion-related central line-associated bloodstream infections occurring in areas within the team's scope declined overall by 47%.

Creation and impact of containment units with high-risk zones during the coronavirus disease 2019 (COVID-19) pandemic.

BACKGROUND: The rapid spread of coronavirus disease 2019 (COVID-19) required swift preparation to protect healthcare personnel (HCP) and patients, especially considering shortages of personal protective equipment (PPE). Due to the lack of a pre-existing biocontainment unit, we needed to develop a novel approach to placing patients in isolation cohorts while working with the pre-existing physical space. OBJECTIVES: To prevent disease transmission to non-COVID-19 patients and HCP caring for COVID-19 patients, to optimize PPE usage, and to provide a comfortable and safe working environment. METHODS: An interdisciplinary workgroup developed a combination of approaches to convert existing spaces into COVID-19 containment units with high-risk zones (HRZs). We developed standard workflow and visual management in conjunction with updated staff training and workflows. The infection prevention team created PPE standard practices for ease of use, conservation, and staff safety. RESULTS: The interventions resulted in 1 possible case of patient-to-HCP transmission and zero cases of patient-to-patient transmission. PPE usage decreased with the HRZ model while maintaining a safe environment of care. Staff on the COVID-19 units were extremely satisfied with PPE availability (76.7%) and efforts to protect them from COVID-19 (72.7%). Moreover, 54.8% of HCP working in the COVID-19 unit agreed that PPE monitors played an essential role in staff safety. CONCLUSIONS: The HRZ model of containment unit is an effective method to prevent the spread of COVID-19 with several benefits. It is easily implemented and scaled to accommodate census changes. Our experience suggests that other institutions do not need to modify existing physical structures to create similarly protective spaces.

Sustainability of a well-established hand hygiene program during the coronavirus disease 2019 (COVID-19) pandemic.

Overall, engagement and compliance from the crowd-sourced hand hygiene observation program, Clean-In-Clean-Out (CICO), were similar between 2019 (96.6%) and 2020 (96.7%) despite fluctuations within 2020 that reflected our hospital's coronavirus disease 2019 (COVID-19) experience. Shared responsibility and just-in-time reminders can allow manual hand hygiene observation models to be sustainable.

Reduction and persistence of co-circulating respiratory viruses during the SARS-CoV-2 pandemic.

To evaluate the co-circulation of respiratory viruses during the SARS-CoV-2 Alpha surge, we performed a molecular respiratory panel on 1,783 nasopharyngeal swabs collected between January 15 and April 15, 2021, from symptomatic outpatients that tested negative for SARS-CoV-2 in North Carolina. Of these, 373 (20.9%) were positive for at least 1 virus tested on the panel. Among positive tests, over 90% were positive for rhinovirus and/or enterovirus, either as a single infection or coinfection, illustrating persistent co-circulation of some respiratory viruses despite active infection control measures.

Strategies utilized to prevent and control SARS-CoV-2 transmission in two congregate, psychiatric healthcare settings during the pandemic.

BACKGROUND: The COVID-19 pandemic has had a substantial effect on the delivery of psychiatric health care. Inpatient psychiatric health care facilities have experienced outbreaks of COVID-19, making these areas particularly vulnerable. METHODS: Our facility used a multidisciplinary approach to implement enhanced infection prevention and control (IPC) interventions in our psychiatric health care areas. RESULTS: In a 16-month period during the COVID-19 pandemic, our 2 facilities provided >29,000 patient days of care to 1,807 patients and identified only 47 COVID-19 positive psychiatric health inpatients (47/1,807, or 2.6%). We identified the majority of these cases by testing all patients at admission, preventing subsequent outbreaks. Twenty-one psychiatric health care personnel were identified as COVID+ during the same period, with 90% linked to an exposure other than a known positive case at work. DISCUSSION: The IPC interventions we implemented provided multiple layers of safety for our patients and our staff. Ultimately, this resulted in low SARS-CoV-2 infection rates within our facilities. CONCLUSIONS: Psychiatric health care facilities are uniquely vulnerable to COVID-19 outbreaks because they are congregate units that promote therapeutic interactions in shared spaces. IPC interventions used in acute medical care settings can also work effectively in psychiatric health care, but often require modifications to ensure staff and patient safety.

Does a mobile dust-containment cart reduce the risk of healthcare-associated fungal infections during above-ceiling work?

Immunocompromised patients are at risk for infections due to above-ceiling activities in hospitals. Mobile dust-containment carts are available as environmental controls, but no published data support their efficacy. Using microbial air sampling and particle counts, we provide evidence of reduced risk of fungal exposure during open ceiling activities.

Building a personal protective equipment monitor team as part of a comprehensive COVID-19 prevention strategy.

We instituted Personal Protective Equipment (PPE) Monitors as part of our care of COVID-19 patients in high-risk zones. PPE Monitors aided health care personnel (HCP) in donning and doffing, which contributed to nearly zero transmission of COVID-19 to HCP, despite their care of over 1400 COVID-19 patients.

The holy grail of hand hygiene compliance: Just-in-time peer coaching that leads to behavior change.

We describe the delivery of real-time feedback on hand hygiene compliance between healthcare personnel over a 3-year time period via a crowdsourcing web-based application. Feedback delivery as a metric can be used to examine and improve a culture of safety within a healthcare setting.

Incidence and risk factors of non-device-associated pneumonia in an acute-care hospital.

OBJECTIVE: To update current estimates of non-device-associated pneumonia (ND pneumonia) rates and their frequency relative to ventilator associated pneumonia (VAP), and identify risk factors for ND pneumonia. DESIGN: Cohort study. SETTING: Academic teaching hospital. PATIENTS: All adult hospitalizations between 2013 and 2017 were included. Pneumonia (device associated and non-device associated) were captured through comprehensive, hospital-wide active surveillance using CDC definitions and methodology. RESULTS: From 2013 to 2017, there were 163,386 hospitalizations (97,485 unique patients) and 771 pneumonia cases (520 ND pneumonia and 191 VAP). The rate of ND pneumonia remained stable, with 4.15 and 4.54 ND pneumonia cases per 10,000 hospitalization days in 2013 and 2017 respectively (P = .65). In 2017, 74% of pneumonia cases were ND pneumonia. Male sex and increasing age we both associated with increased risk of ND pneumonia. Additionally, patients with chronic bronchitis or emphysema (hazard ratio [HR], 2.07; 95% confidence interval [CI], 1.40-3.06), congestive heart failure (HR, 1.48; 95% CI, 1.07-2.05), or paralysis (HR, 1.72; 95% CI, 1.09-2.73) were also at increased risk, as were those who were immunosuppressed (HR, 1.54; 95% CI, 1.18-2.00) or in the ICU (HR, 1.49; 95% CI, 1.06-2.09). We did not detect a change in ND pneumonia risk with use of chlorhexidine mouthwash, total parenteral nutrition, all medications of interest, and prior ventilation. CONCLUSION: The incidence rate of ND pneumonia did not change from 2013 to 2017, and 3 of 4 nosocomial pneumonia cases were non-device associated. Hospital infection prevention programs should consider expanding the scope of surveillance to include non-ventilated patients. Future research should continue to look for modifiable risk factors and should assess potential prevention strategies.

The compliance coach: A bedside observer, auditor, and educator as part of an infection prevention department's team approach for improving central line care and reducing central line-associated bloodstream infection risk.

A compliance coach who audits central line maintenance and provides feedback and education to bedside nurses through timely, nonpunitive conversation is an effective addition to busy infection prevention departments. Staff nurses and nurse managers reported receiving clearly communicated and actionable information from the coach and compliance improved over time in multiple areas of central line maintenance.

Incidence and risk factors of non-device-associated urinary tract infections in an acute-care hospital.

OBJECTIVE: To update current estimates of non-device-associated urinary tract infection (ND-UTI) rates and their frequency relative to catheter-associated UTIs (CA-UTIs) and to identify risk factors for ND-UTIs. DESIGN: Cohort study. SETTING: Academic teaching hospital. PATIENTS: All adult hospitalizations between 2013 and 2017 were included. UTIs (device and non-device associated) were captured through comprehensive, hospital-wide active surveillance using Centers for Disease Control and Prevention case definitions and methodology. RESULTS: From 2013 to 2017 there were 163,386 hospitalizations (97,485 unique patients) and 1,273 UTIs (715 ND-UTIs and 558 CA-UTIs). The rate of ND-UTIs remained stable, decreasing slightly from 6.14 to 5.57 ND-UTIs per 10,000 hospitalization days during the study period (P = .15). However, the proportion of UTIs that were non-device related increased from 52% to 72% (P < .0001). Female sex (hazard ratio [HR], 1.94; 95% confidence interval [CI], 1.50-2.50) and increasing age were associated with increased ND-UTI risk. Additionally, the following conditions were associated with increased risk: peptic ulcer disease (HR, 2.25; 95% CI, 1.04-4.86), immunosuppression (HR, 1.48; 95% CI, 1.15-1.91), trauma admissions (HR, 1.36; 95% CI, 1.02-1.81), total parenteral nutrition (HR, 1.99; 95% CI, 1.35-2.94) and opioid use (HR, 1.62; 95% CI, 1.10-2.32). Urinary retention (HR, 1.41; 95% CI, 0.96-2.07), suprapubic catheterization (HR, 2.28; 95% CI, 0.88-5.91), and nephrostomy tubes (HR, 2.02; 95% CI, 0.83-4.93) may also increase risk, but estimates were imprecise. CONCLUSION: Greater than 70% of UTIs are now non-device associated. Current targeted surveillance practices should be reconsidered in light of this changing landscape. We identified several modifiable risk factors for ND-UTIs, and future research should explore the impact of prevention strategies that target these factors.

Creation of a Geospatially Explicit, Agent-based Model of a Regional Healthcare Network with Application to Clostridioides difficile Infection.

Agent-based models (ABMs) describe and simulate complex systems comprising unique agents, or individuals, while accounting for geospatial and temporal variability among dynamic processes. ABMs are increasingly used to study healthcare-associated infections (ie, infections acquired during admission to a healthcare facility), including Clostridioides difficile infection, currently the most common healthcare-associated infection in the United States. The overall burden and transmission dynamics of healthcare-associated infections, including C difficile infection, may be influenced by community sources and movement of people among healthcare facilities and communities. These complex dynamics warrant geospatially explicit ABMs that extend beyond single healthcare facilities to include entire systems (eg, hospitals, nursing homes and extended care facilities, the community). The agents in ABMs can be built on a synthetic population, a model-generated representation of the actual population with associated spatial (eg, home residence), temporal (eg, change in location over time), and nonspatial (eg, sociodemographic features) attributes. We describe our methods to create a geospatially explicit ABM of a major regional healthcare network using a synthetic population as microdata input. We illustrate agent movement in the healthcare network and the community, informed by patient-level medical records, aggregate hospital discharge data, healthcare facility licensing data, and published literature. We apply the ABM output to visualize agent movement in the healthcare network and the community served by the network. We provide an application example of the ABM to C difficile infection using a natural history submodel. We discuss the ABM's potential to detect network areas where disease risk is high; simulate and evaluate interventions to protect public health; adapt to other geographic locations and healthcare-associated infections, including emerging pathogens; and meaningfully translate results to public health practitioners, healthcare providers, and policymakers.