Implementing strategies to prevent infections in acute-care settings

Assessment of IPCAF scores and incidence of health care-associated infections: A cross-sectional study in Eastern China

A cross-sectional study was conducted to evaluate the relationship between Infection Prevention and Control Assessment Framework scores and the incidence of health care-associated infections in tertiary hospitals in Eastern China. The results indicate that hospitals with Infection Prevention and Control Assessment Framework scores above 700 have a lower incidence rate of health care-associated infections (1.31%; 95%CI, 1.15%-1.47%) compared to those with scores below 700 (1.90%; 95%CI, 1.60%-2.21%).

Optimizing the implementation of Enhanced Barrier Precautions in community-based nursing homes

BACKGROUND

Enhanced Barrier Precautions (EBPs) recommend using gowns and gloves for certain nursing home residents during specific high-contact care activities associated with multidrug-resistant organism (MDRO) transmission. Though EBP is included in published guidance as an MDRO control strategy, optimal implementation approaches remain unclear.

METHODS

We implemented a quality improvement (QI) initiative using the 4E process model (engagement, education, execution, and evaluation) to optimize EBP implementation in 4 Maryland nursing homes. Semistructured interviews with health care personnel (HCP) occurred to understand EBP acceptability.

RESULTS

Glove use during high-contact care increased from 85% in the baseline to 97% during the intervention (P < .01). Gown use increased from 27% to 78% (P < .01). The accuracy of identifying residents eligible for EBP improved from 63% to 99% (P < .01). Of 780 residents observed, one third met EBP indications: MDRO colonization (21%), indwelling medical device (14%), and/or chronic wound (10%). The most noted facilitator to EBP implementation included HCP perception that EBP reduces MDRO transmission to other residents and staff. The most noted barrier was uncomfortable gowns.

CONCLUSIONS

Implementation was complex and required assessments of barriers and facilitators within each facility. HCP interviews identified barriers and facilitators of EBP that can inform future EBP implementation projects.

A survey of healthcare workers on the acceptance and value of personal protective equipment for patient care

OBJECTIVE

Assess healthcare workers' (HCW) attitudes toward universal masking, and gowns and gloves used as part of transmission-based precautions.

DESIGN

Cross-sectional survey.

SETTING

Academic, tertiary care medical center in Baltimore, Maryland.

PARTICIPANTS

HCW who work in patient care areas and have contact with patients.

METHODS

In May 2023, a 15-question web-based survey was distributed by the hospital's communications team via email. The survey contained questions to assess HCW perceptions of universal masking policies prior to the availability of COVID-19 vaccines and at the time of the survey, and the use of gowns and gloves for transmission-based precautions. Descriptive statistics were used to summarize data. Differences in agreement with universal masking over time, level of agreement with gown and glove policies, and with all PPE types across respondent characteristics were assessed.

RESULTS

257 eligible respondents completed the survey. Nurses and patient care technicians (43%) and providers (17%) were the most commonly reported roles. Agreement with universal mask use decreased from 84% early in the pandemic to 55% at the time of the survey. 70% and 72% of HCW agreed masks protect themselves and others, respectively. 63% expressed any level of annoyance with mask wearing, the most often due to communication challenges or physical discomfort. 75% agreed with gown use for antibiotic-resistant bacteria compared with 90% for glove use.

CONCLUSIONS

The majority of HCW agree with the use of PPE to prevent pathogen transmission in the healthcare setting. Agreement with universal mask use for patient care shifted during the COVID-19 pandemic.

Reducing catheter-associated urinary tract infections in a large health system: a quality improvement approach using a fractal management system

Objective

Although preventable through established infection control practices, catheter-associated urinary tract infections (CAUTIs) remain prevalent in acute-care settings. Our goal was to improve the CAUTI rates through multiple hospitals through implementing sustainable practices, including enhancing communication, provider engagement, accountability, and transparency in reporting to achieve long-term improvements.

Design

Quality improvement with multiple levels of interventions.

Setting

A health system in northern Ohio with 21 affiliated hospitals across 16 counties.

Patients

Adult patients admitted to the hospital between June 2020 and June 2023.

Methods

A broad set of quality improvement (QI) strategies was developed by an interdisciplinary team and guided by the Fractal Management System framework to ensure accountability, communication, and alignment across teams and facilities. Key drivers were indwelling urinary catheter (IUC) alternatives, insertion, maintenance, removal, and smart diagnostics. The main outcome measures were standardized infection ratios (SIR) and standardized utilization ratio (SUR), comparing period 1 (P1, June 2020 to December 2021) and period 2 (P2, January 2022 to June 2023).

Results

Enhanced communication and management played crucial roles in minimizing IUC placement. Updated policies and protocols, coupled with clear guidelines and decision support tools, facilitated effective urinary management. Performance tracking and visual management boards provided real-time insights, while collaborative efforts, including staff huddles and multidisciplinary teamwork, ensured consistent adherence to best practices.

Conclusions

A systemwide QI initiative focused on enhanced communication, management, and collaboration contributed to improved SIR and reduced CAUTI rates across multiple hospitals, highlighting the impact of strong communication and proactive management in healthcare settings.

Healthcare-associated infections and antimicrobial use in acute care hospitals: a point prevalence survey in Lombardy, Italy, in 2022

BACKGROUND

Healthcare-Associated Infections (HAIs) are a global public health issue, representing a significant burden of disease that leads to prolonged hospital stays, inappropriate use of antimicrobial drugs, intricately linked to the development of resistant microorganisms, and higher costs for healthcare systems. The study aimed to measure the prevalence of HAIs, the use of antimicrobials, and assess healthcare- and patient-related risk factors, to help identify key intervention points for effectively reducing the burden of HAIs.

METHODS

A total of 28 acute care hospitals in the Lombardy region, Northern Italy, participated in the third European Point Prevalence Survey (PPS-3) coordinated by ECDC for the surveillance of HAIs in acute care hospitals (Protocol 6.0).

RESULTS

HAIs were detected in 1,259 (10.1%, 95% CI 9.6-10.7%) out of 12,412 enrolled patients. 1,385 HAIs were reported (1.1 HAIs per patient on average). The most common types of HAIs were bloodstream infections (262 cases, 18.9%), urinary tract infections (237, 17.1%), SARS-CoV-2 infections (236, 17.0%), pneumonia and lower respiratory tract infections (231, 16.7%), and surgical site infections (152, 11.0%). Excluding SARS-CoV-2 infections, the overall prevalence of HAIs was 8.4% (95% CI 7.9-8.9%). HAIs were significantly more frequent in patients hospitalized in smaller hospitals and in intensive care units (ICUs), among males, advanced age, severe clinical condition and in patients using invasive medical devices. Overall, 5,225 patients (42.1%, 95% CI 41.3-43.0%) received systemic antimicrobial therapy. According to the WHO's AWaRe classification, the Access group accounted for 32.7% of total antibiotic consumption, while Watch and Reserve classes accounted for 57.0% and 5.9% respectively. From a microbiological perspective, investigations were conducted on only 64% of the HAIs, showing, however, a significant pattern of antibiotic resistance.

CONCLUSIONS

The PPS-3 in Lombardy, involving data collection on HAIs and antimicrobial use in acute care hospitals, highlights the crucial need for a structured framework serving both as a valuable benchmark for individual hospitals and as a foundation to effectively channel interventions to the most critical areas, prioritizing future regional health policies to reduce the burden of HAIs.

Navigating the network: a narrative overview of AMR surveillance and data flow in the United States

The antimicrobial resistance (AMR) surveillance landscape in the United States consists of a data flow that starts in the clinical setting and is maintained by a network of national and state public health laboratories. These organizations are well established, with robust methodologies to test and confirm antimicrobial susceptibility. Still, the bridge that guides the flow of data is often one directional and caught in a constant state of rush hour that can only be refined with improvements to infrastructure and automation in the data flow. Moreover, there is an absence of information in the literature explaining the processes clinical laboratories use to coalesce and share susceptibility test data for AMR surveillance, further complicated by variability in testing procedures. This knowledge gap limits our understanding of what is needed to improve and streamline data sharing from clinical to public health laboratories. Successful models of AMR surveillance display attributes like 2-way communication between clinical and public health laboratories, centralized databases, standardized data, and the use of electronic health records or data systems, highlighting areas of opportunity and improvement. This article explores the roles and processes of the organizations involved in AMR surveillance in the United States and identifies current knowledge gaps and opportunities to improve communication between them through standardization, communication, and modernization of data flow.