To sustainably improve cleaning of high-touch surfaces (HTSs) in acute-care hospitals using a multimodal approach to education, reduction of barriers to cleaning, and culture change for environmental services workers.

Prospective, quasi-experimental, before-and-after intervention study.

The study was conducted in 2 academic acute-care hospitals, 2 community hospitals, and an academic pediatric and women’s hospital.

Frontline environmental services workers.

A 5-module educational program, using principles of adult learning theory, was developed and presented to environmental services workers. Audience response system (ARS), videos, demonstrations, role playing, and graphics were used to illustrate concepts of and the rationale for infection prevention strategies. Topics included hand hygiene, isolation precautions, personal protective equipment (PPE), cleaning protocols, and strategies to overcome barriers. Program evaluation included ARS questions, written evaluations, and objective assessments of occupied patient room cleaning. Changes in hospital-onset C. difficile infection (CDI) and methicillin-resistant S. aureus (MRSA) bacteremia were evaluated.

On average, 357 environmental service workers participated in each module. Most (93%) rated the presentations as ‘excellent’ or ‘very good’ and agreed that they were useful (95%), reported that they were more comfortable donning/doffing PPE (91%) and performing hand hygiene (96%) and better understood the importance of disinfecting HTSs (96%) after the program. The frequency of cleaning individual HTSs in occupied rooms increased from 26% to 62% (P < .001) following the intervention. Improvement was sustained 1-year post intervention (P < .001). A significant decrease in CDI was associated with the program.

A novel program that addressed environmental services workers’ knowledge gaps, challenges, and barriers was well received and appeared to result in learning, behavior change, and sustained improvements in cleaning.

To evaluate the impact of universal contact precautions (UCP) on rates of multidrug-resistant organisms (MDROs) in intensive care units (ICUs) over 9 years

Retrospective, nonrandomized observational study

An 800-bed adult academic medical center in New York City

All patients admitted to 6 ICUs, 3 of which instituted UCP in 2007

Using a comparative effectiveness approach, we studied the longitudinal impact of UCP on MDRO incidence density rates, including methicillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, and carbapenem-resistant Klebsiella pneumoniae. Data were extracted from a clinical research database for 2006–2014. Monthly MDRO rates were compared between the baseline period and the UCP period, utilizing time series analyses based on generalized linear models. The same models were also used to compare MDRO rates in the 3 UCP units to 3 ICUs without UCPs.

Overall, MDRO rates decreased over time, but there was no significant decrease in the trend (slope) during the UCP period compared to the baseline period for any of the 3 intervention units. Furthermore, there was no significant difference between UCP units (6.6% decrease in MDRO rates per year) and non-UCP units (6.0% decrease per year; P=.840).

The results of this 9-year study suggest that decreases in MDROs, including multidrug-resistant gram-negative bacilli, were more likely due to hospital-wide improvements in infection prevention during this period and that UCP had no detectable additional impact.

Infect Control Hosp Epidemiol 2018;39:534–540

To assess antimicrobial prescriber knowledge, attitudes, and practices (KAP) regarding antimicrobial stewardship (AS) and associated barriers to optimal prescribing.

Cross-sectional survey.

Online survey.

A convenience sample of 2,900 US antimicrobial prescribers at 5 acute-care hospitals within a hospital network.

The following characteristics were assessed with an anonymous, online survey in February 2015: attitudes and practices related to antimicrobial resistance, AS programs, and institutional AS resources; antimicrobial prescribing and AS knowledge; and practices and confidence related to antimicrobial prescribing.

In total, 402 respondents completed the survey. Knowledge gaps were identified through case-based questions. Some respondents sometimes selected overly broad therapy for the susceptibilities given (29%) and some “usually” or “always” preferred using the most broad-spectrum empiric antimicrobials possible (32%). Nearly all (99%) reported reviewing antimicrobial appropriateness at 48–72 hours, but only 55% reported “always” doing so. Furthermore, 45% of respondents felt that they had not received adequate training regarding antimicrobial prescribing. Some respondents lacked confidence selecting empiric therapy using antibiograms (30%), interpreting susceptibility results (24%), de-escalating therapy (18%), and determining duration of therapy (31%). Postprescription review and feedback (PPRF) was the most commonly cited AS intervention (79%) with potential to improve patient care.

Barriers to appropriate antimicrobial selection and de-escalation of antimicrobial therapy were identified among front-line prescribers in acute-care hospitals. Prescribers desired more AS-related education and identified PPRF as the most helpful AS intervention to improve patient care. Educational interventions should be preceded by and tailored to local assessment of educational needs.

Infect Control Hosp Epidemiol 2018;39:316–322

The emergency preparedness of residents of North Carolina and Montana were compared.

General preparedness was evaluated using responses to 4 questions related to a household's 3-day supply of water, 3-day supply of nonperishable food, a working battery-operated radio, and a working battery-operated flashlight. Each positive answer was awarded 1 point to create an emergency preparedness score that ranged from 0 (minimum) to 4 (maximum). Results were assessed statistically.

The average emergency preparedness score did not differ between the 2 states (P = .513). One factor influencing higher preparedness in both states was being male. Other influencing factors in North Carolina were older age, being a race/ethnicity other than white, having an annual income of $35 000 or more, having children in the household, better (excellent/very good/good) self-reported health, and not being disabled. In contrast, other factors influencing higher emergency preparedness in Montana were having a college degree and being married or partnered.

A divergence was found in factors influencing the likelihood of being prepared. These factors were likely a result of different sociodemographic and geographic characteristics between the 2 states. (Disaster Med Public Health Preparedness. 2014;0:1-4)

Assessing the impact of 2009 influenza A (H1N1) on healthcare workers (HCWs) is important for pandemic planning.

We retrospectively analyzed employee health records of HCWs at a tertiary care center in New York City with influenza-like illnesses (ILI) and confirmed influenza from March 31, 2009, to February 28, 2010. We evaluated HCWs' clinical presentations during the first and second wave of the pandemic, staff absenteeism, exposures among HCWs, and association between high-risk occupational exposures to respiratory secretions and infection.

During the pandemic, 40% (141/352) of HCWs with ILI tested positive for influenza, representing a 1% attack rate among our 13,066 employees. HCWs with influenza were more likely to have fever, cough, and tachycardia. When compared with the second wave, cases in the first wave were sicker and at higher risk of exposure to patients' respiratory secretions (P = .049). HCWs with ILI- with and without confirmed influenza-missed on average 4.7 and 2.7 work days, respectively (P = .001). Among HCWs asked about working while ill, 65% (153/235) reported they did so (mean, 2 days).

HCWs in the first wave had more severe ILI than those in the second wave and were more likely to be exposed to patients' respiratory secretions. HCWs with ILI often worked while ill. Timely strategies to educate and support HCWs were critical to managing this population during the pandemic.

To assess the impact of an electronic surveillance system on isolation practices and rates of methicillin-resistant Staphylococcus aureus (MRSA).

A pre-post test intervention.

Inpatient units (except psychiatry and labor and delivery) in 4 New York City hospitals.

All patients for whom isolation precautions were indicated, May 2009–December 2011.

Trained observers assessed isolation sign postings, availability of isolation carts, and staff use of personal protective equipment (PPE). Infection rates were obtained from the infection control department. Regression analyses were used to examine the association between the surveillance system, infection prevention practices, and MRSA infection rates.

A total of 54,159 isolation days and 7,628 staff opportunities for donning PPE were observed over a 31-month period. Odds of having an appropriate sign posted were significantly higher after intervention than before intervention (odds ratio [OR], 1.10 [95% confidence interval {CI}, 1.01–1.20]). Relative to baseline, postintervention sign posting improved significantly for airborne and droplet precautions but not for contact precautions. Sign posting improved for vancomycin-resistant enterococci (OR, 1.51 [95% CI, 1.23–1.86]; P = .0001), Clostridium difficile (OR, 1.59 [95% CI, 1.27–2.02]; P = .00005), and Acinetobacter baumannii (OR, 1.41 [95% CI, 1.21–1.64]; P = .00001) precautions but not for MRSA precautions (OR, 1.11 [95% CI, 0.89–1.39]; P = .36). Staff and visitor adherence to PPE remained low throughout the study but improved from 29.1% to 37.0% after the intervention (OR, 1.14 [95% CI, 1.01–1.29]). MRSA infection rates were not significantly different after the intervention.

An electronic surveillance system resulted in small but statistically significant improvements in isolation practices but no reductions in infection rates over the short term. Such innovations likely require considerable uptake time.

To assess how healthcare professionals caring for patients in intensive care units (ICUs) understand and use antimicrobial susceptibility testing (AST) for multidrug-resistant gram-negative bacilli (MDR-GNB).

A knowledge, attitude, and practice survey assessed ICU clinicians' knowledge of antimicrobial resistance, confidence interpreting AST results, and beliefs regarding the impact of AST on patient outcomes.

Sixteen ICUs affiliated with NewYork-Presbyterian Hospital.

Attending physicians and subspecialty residents with primary clinical responsibilities in adult or pediatric ICUs as well as infectious diseases subspecialists and clinical pharmacists.

Participants completed an anonymous electronic survey. Responses included 4-level Likert scales dichotomized for analysis. Multivariate analyses were performed using generalized estimating equation logistic regression to account for correlation of respondents from the same ICU.

The response rate was 51% (178 of 349 eligible participants); of the respondents, 120 (67%) were ICU physicians. Those caring for adult patients were more knowledgeable about antimicrobial activity and were more familiar with MDR-GNB infections. Only 33% and 12% of ICU physicians were familiar with standardized and specialized AST methods, respectively, but more than 95% believed that AST improved patient outcomes. After adjustment for demographic and healthcare provider characteristics, those familiar with treatment of MDR-GNB bloodstream infections, those aware of resistance mechanisms, and those aware of AST methods were more confident that they could interpret AST results and/or request additional in vitro testing.

Our study uncovered knowledge gaps and educational needs that could serve as the foundation for future interventions. Familiarity with MDR-GNB increased overall knowledge, and familiarity with AST increased confidence interpreting the results.

We conducted a retrospective cohort study to examine the role played by length of hospital stay in the risk of healthcare-associated bloodstream infection (BSI), independent of demographic and clinical risk factors for BSI.

We employed data from 113,893 admissions from inpatients discharged between 2006 and 2008.

Large tertiary healthcare center in New York City.

We estimated the crude and adjusted hazard of BSI by conducting logistic regression using a person-day data structure. The covariates included in the fully adjusted model included age, sex, Charlson score of comorbidity, renal failure, and malignancy as static variables and central venous catheterization, mechanical ventilation, and intensive care unit stay as time-varying variables.

In the crude model, we observed a nonlinear increasing hazard of BSI with increasing hospital stay. This trend was reduced to a constant hazard when fully adjusted for demographic and clinical risk factors for BSI.

The association between longer length of hospital stay and increased risk of infection can largely be explained by the increased duration of stay among those who have underlying morbidity and require invasive procedures. We should take caution in attributing the association between length of stay and BSI to a direct negative impact of the healthcare environment.

To test in a real-world setting the recommendations for measuring infection with multidrug-resistant organisms (MDRO) from the Society for Healthcare Epidemiology of America (SHEA) and the Centers for Disease Control and Prevention's Healthcare Infection Control Practices Advisory Committee (HICPAC).

Using data from 3 hospital settings within a healthcare network, we applied the SHEA/HICPAC recommendations to measure methicillin-resistant Staphylococcus aureus (MRSA) infection and colonization. Data were obtained from the hospitals' electronic surveillance system and were supplemented by manual medical record review as necessary. Additionally, we tested (1) different definitions for nosocomial incidence, (2) the effect of excluding patients not at risk from the denominator for hospital-onset incidence, and (3) the appropriate time period to use when including or excluding patients with a prior history of MRSA infection or colonization from nosocomial rates. Negative binomial regression models were used to test for differences between rate definitions. A rating scale was created for each metric, assessing the extent to which manual or electronic data elements were required.

There was no statistically significant difference between using 72 hours or 3 calendar days as the cutoff to define hospital-onset incidence. Excluding patients not at risk from the denominator when calculating hospital-onset incidence led to statistically significant increases in rates. When excluding patients with a prior history of MRSA infection or colonization from nosocomial incidence rates, rates were similar regardless of whether we looked at 1, 2, or 3 years' worth of prior data.

The SHEA/HICPAC MDRO metrics are useful but can be challenging to implement. We include in our description of the data sources and processes required to calculate these metrics information that may simplify the process for institutions.