Outpatient central venous catheters (CVCs) are being used more frequently; however, data describing mechanical complications and central-line–associated bloodstream infections (CLABSI) in the outpatient setting are limited. We performed a retrospective observational cohort study to understand the burden of these complications to elucidate their impact on the healthcare system.

Data were retrospectively collected on patients discharged from Vanderbilt University Medical Center with a CVC in place and admitted into the care of Vanderbilt Home Care Services. Risk factors for medically attended catheter-associated complications (CACs) and outpatient CLABSIs were analyzed.

A CAC developed in 143 patients (21.9%), for a total of 165 discrete CAC events. Among these, 76 (46%) required at least 1 visit to the emergency department or an inpatient admission, while the remaining 89 (54%) required an outpatient clinic visit. The risk for developing a CAC was significantly increased in female patients, patients with a CVC with >1 lumen, and patients receiving total parenteral nutrition. The absolute number of CLABSIs identified in the study population was small at 16, or 2.4% of the total cohort.

Medically attended catheter complications were common among outpatients discharged with a CVC, and reduction of these events should be the focus of outpatient quality improvement programs.

Infect Control Hosp Epidemiol 2018;39:439–444

Outpatient parenteral antimicrobial therapy (OPAT) is a safe and effective alternative to prolonged inpatient stays for patients requiring long-term intravenous antimicrobials, but antimicrobial-associated adverse events remain a significant challenge. Thus, we sought to measure the association between choice of antimicrobial agent (vancomycin vs daptomycin) and incidence of adverse drug events (ADEs).

Patients receiving OPAT treatment with vancomycin or daptomycin for skin and soft-tissue infections, bone and joint infections, endocarditis, and bacteremia or endovascular infections during the period from July 1, 2013, through September 30, 2016, were included. Demographic and clinical data were abstracted from the medical record. Logistic regression was used to compare ADEs requiring a change in or early discontinuation of therapy, hospital readmission, and emergency room visits between groups. Time from OPAT enrollment to ADE was compared using the log-rank test.

In total, 417 patients were included: 312 (74·8%) received vancomycin and 105 (25·2%) received daptomycin. After adjusting for age, Charlson comorbidity index, location of OPAT treatment, receipt of combination therapy with either β-lactam or fluoroquinolone, renal function, and availability of safety labs, patients receiving vancomycin had significantly higher incidence of ADEs (adjusted odds ratio [aOR], 3·71; 95% CI, 1·64–8·40). ADEs occurred later in the treatment course for patients treated with daptomycin (P<·01). Rates of readmission and emergency room visits were similar.

In the OPAT setting, vancomycin use was associated with higher incidence of ADEs than daptomycin use. This finding is an important policy consideration for programs aiming to optimize outcomes and minimize cost. Careful selection of gram-positive agents for prolonged treatment is necessary to limit toxicity.

We developed a decision analytic model to evaluate the impact of a preoperative Staphylococcus aureus decolonization bundle on surgical site infections (SSIs), health-care–associated costs (HCACs), and deaths due to SSI.

Our model population comprised US adults undergoing elective surgery. We evaluated 3 self-administered preoperative strategies: (1) the standard of care (SOC) consisting of 2 disinfectant soap showers; (2) the “test-and-treat” strategy consisting of the decolonization bundle including chlorhexidine gluconate (CHG) soap, CHG mouth rinse, and mupirocin nasal ointment for 5 days) if S. aureus was found at any of 4 screened sites (nasal, throat, axillary, perianal area), otherwise the SOC; and (3) the “treat-all” strategy consisting of the decolonization bundle for all patients, without S. aureus screening. Model parameters were derived primarily from a randomized controlled trial that measured the efficacy of the decolonization bundle for eradicating S. aureus.

Under base-case assumptions, the treat-all strategy yielded the fewest SSIs and the lowest HCACs, followed by the test-and-treat strategy. In contrast, the SOC yielded the most SSIs and the highest HCACs. Consequently, relative to the SOC, the average savings per operation was $217 for the treat-all strategy and $123 for the test-and-treat strategy, and the average savings per per SSI prevented was $21,929 for the treat-all strategy and $15,166 for the test-and-treat strategy. All strategies were sensitive to the probability of acquiring an SSI and the increased risk if SSI if the patient was colonized with SA.

We predict that the treat-all strategy would be the most effective and cost-saving strategy for preventing SSIs. However, because this strategy might select more extensively for mupirocin-resistant S. aureus and cause more medication adverse effects than the test-and-treat approach or the SOC, additional studies are needed to define its comparative benefits and harms.

The optimal approach to auditing outpatient antimicrobial prescribing has not been established. We assessed how different types of electronic data—including prescriptions, patient-visits, and International Classification of Disease, Tenth Revision (ICD-10) codes—could inform automated antimicrobial audits.

Outpatient visits during 2016 were retrospectively reviewed, including chart abstraction, if an antimicrobial was prescribed (cohort 1) or if the visit was associated with an infection-related ICD-10 code (cohort 2). Findings from cohorts 1 and 2 were compared.

Primary care clinics and the emergency department (ED) at the Iowa City Veterans Affairs Medical Center.

In cohort 1, we reviewed 2,353 antimicrobial prescriptions across 52 providers. ICD-10 codes had limited sensitivity and positive predictive value (PPV) for validated cases of cystitis and pneumonia (sensitivity, 65.8%, 56.3%, respectively; PPV, 74.4%, 52.5%, respectively). The volume-adjusted antimicrobial prescribing rate was 13.6 per 100 ED visits and 7.5 per 100 primary care visits. In cohort 2, antimicrobials were not indicated in 474 of 851 visits (55.7%). The antimicrobial overtreatment rate was 48.8% for the ED and 59.7% for primary care. At the level of the individual prescriber, there was a positive correlation between a provider’s volume-adjusted antimicrobial prescribing rate and the individualized rates of overtreatment in both the ED (r=0.72; P<.01) and the primary care setting (r=0.82; P=0.03).

In this single-center study, ICD-10 codes had limited sensitivity and PPV for 2 infections that typically require antimicrobials. Electronically extracted data on a provider’s rate of volume-adjusted antimicrobial prescribing correlated with the frequency at which unnecessary antimicrobials were prescribed, but this may have been driven by outlier prescribers.

Infect Control Hosp Epidemiol 2018;39:64–70

To reduce inappropriate antimicrobial prescribing across ambulatory care, understanding the patient-, provider-, and practice-level characteristics associated with antibiotic prescribing is essential. In this study, we aimed to elucidate factors associated with inappropriate antimicrobial prescribing across urgent care, family medicine, and pediatric and internal medicine ambulatory practices.

Data for this retrospective cohort study were collected from outpatient visits for common upper respiratory conditions that should not require antibiotics. The cohort included 448,990 visits between January 2014 and May 2016. Carolinas HealthCare System urgent care, family medicine, internal medicine and pediatric practices were included across 898 providers and 246 practices.

Prescribing rates were reported per 1,000 visits. Indications were defined using the International Classification of Disease, Ninth and Tenth Revisions, Clinical Modification (ICD-9/10-CM) criteria. In multivariable models, the risk of receiving an antibiotic prescription was reported with adjustment for practice, provider, and patient characteristics.

The overall prescribing rate in the study cohort was 407 per 1,000 visits (95% confidence interval [CI], 405–408). After adjustment, adult patients seen by an advanced practice practitioner were 15% more likely to receive an antimicrobial than those seen by a physician provider (incident risk ratio [IRR], 1.15; 95% CI, 1.03–1.29). In the pediatric sample, older providers were 4 times more likely to prescribe an antimicrobial than providers aged ≤30 years (IRR, 4.21; 95% CI, 2.96–5.97).

Our results suggest that patient, practice, and provider characteristics are associated with inappropriate antimicrobial prescribing. Future research should target antibiotic stewardship programs to specific patient and provider populations to reduce inappropriate prescribing compared to a “one size fits all” approach.

Infect Control Hosp Epidemiol 2018;39:307–315

The risk of cross infection in a busy emergency department (ED) is a serious public health concern, especially in times of pandemic threats. We simulated cross infections due to respiratory diseases spread by large droplets using empirical data on contacts (ie, close-proximity interactions of ≤1m) in an ED to quantify risks due to contact and to examine factors with differential risks associated with them.

Prospective study.

Health workers (HCWs) and patients.

A busy ED.

Data on contacts between participants were collected over 6 months by observing two 12-hour shifts per week using a radiofrequency identification proximity detection system. We simulated cross infection due to a novel agent across these contacts to determine risks associated with HCW role, chief complaint category, arrival mode, and ED disposition status.

Cross-infection risk between HCWs was substantially greater than between patients or between patients and HCWs. Providers had the least risk, followed by nurses, and nonpatient care staff had the most risk. There were no differences by patient chief complaint category. We detected differential risk patterns by arrival mode and by HCW role. Although no differential risk was associated with ED disposition status, 0.1 infections were expected per shift among patients admitted to hospital.

These simulations demonstrate that, on average, 11 patients who were infected in the ED will be admitted to the hospital over the course of an 8-week local influenza outbreak. These patients are a source of further cross-infection risk once in the hospital.

Infect Control Hosp Epidemiol 2018;39:688–693

To validate a system to detect ventilator associated events (VAEs) autonomously and in real time.

Retrospective review of ventilated patients using a secure informatics platform to identify VAEs (ie, automated surveillance) compared to surveillance by infection control (IC) staff (ie, manual surveillance), including development and validation cohorts.

The Massachusetts General Hospital, a tertiary-care academic health center, during January–March 2015 (development cohort) and January–March 2016 (validation cohort).

Ventilated patients in 4 intensive care units.

The automated process included (1) analysis of physiologic data to detect increases in positive end-expiratory pressure (PEEP) and fraction of inspired oxygen (FiO2); (2) querying the electronic health record (EHR) for leukopenia or leukocytosis and antibiotic initiation data; and (3) retrieval and interpretation of microbiology reports. The cohorts were evaluated as follows: (1) manual surveillance by IC staff with independent chart review; (2) automated surveillance detection of ventilator-associated condition (VAC), infection-related ventilator-associated complication (IVAC), and possible VAP (PVAP); (3) senior IC staff adjudicated manual surveillance–automated surveillance discordance. Outcomes included sensitivity, specificity, positive predictive value (PPV), and manual surveillance detection errors. Errors detected during the development cohort resulted in algorithm updates applied to the validation cohort.

In the development cohort, there were 1,325 admissions, 479 ventilated patients, 2,539 ventilator days, and 47 VAEs. In the validation cohort, there were 1,234 admissions, 431 ventilated patients, 2,604 ventilator days, and 56 VAEs. With manual surveillance, in the development cohort, sensitivity was 40%, specificity was 98%, and PPV was 70%. In the validation cohort, sensitivity was 71%, specificity was 98%, and PPV was 87%. With automated surveillance, in the development cohort, sensitivity was 100%, specificity was 100%, and PPV was 100%. In the validation cohort, sensitivity was 85%, specificity was 99%, and PPV was 100%. Manual surveillance detection errors included missed detections, misclassifications, and false detections.

Manual surveillance is vulnerable to human error. Automated surveillance is more accurate and more efficient for VAE surveillance.

Infect Control Hosp Epidemiol 2018;826–833

To describe the 5-year findings after a policy to screen for, diagnose, and isolate medical center employees with adenoviral conjunctivitis was implemented.

Observational report with a retrospective evaluation of a current quality improvement initiative.

Johns Hopkins Medicine, Baltimore, Maryland.

Johns Hopkins Medicine employees.

Data were retrieved from records maintained for this initiative, in which employees with suspected adenoviral conjunctivitis were evaluated in the Occupational Health Clinic and swabbed for polymerase chain reaction (PCR) testing for adenoviral conjunctivitis. Signs, symptoms, work area, diagnoses, and disposition of employees with eye complaints as well as PCR result and adenoviral type were recorded. Five-year data were reviewed.

From 2011 to 2016, of 10,000 full-time equivalent employees, 1,059 employees visited the Occupational Health Clinic with suspicion of adenoviral conjunctivitis. Of these, 104 (10%) were PCR positive for adenovirus. Of these PCR-positive employees, 26 (25%) had the worst clinical presentation, epidemic keratoconjunctivitis (EKC). The Outpatient Pharmacy had the highest number of adenoviral conjunctivitis cases (n=9). The proportion of red-eye employees having PCR-positive adenoviral conjunctivitis increased over 5 years (P<.005, Cochrane-Armitage test for trend) as did the proportion of employees with EKC (P<.05). The proportion of employees with EKC caused by type 37 also increased (P<.05).

Adenoviral conjunctivitis represents 10% of employee cases clinically suspected of this infection. Employees in patient-care areas should be screened even if they have no direct patient contact. Despite increases in the proportions of adenoviral conjunctivitis and of EKC over 5 years, no outbreaks occurred. This policy helps identify incipient EKC outbreaks and guides infection control efforts.

To synthesize the existing evidence base of systematic reviews of interventions to improve healthcare worker (HCW) hand hygiene compliance (HHC).

PRISMA guidelines were followed, and 10 information sources were searched in September 2017, with no limits to language or date of publication, and papers were screened against inclusion criteria for relevance. Data were extracted and risk of bias was assessed.

Overall, 19 systematic reviews (n=20 articles) were included. Only 1 article had a low risk of bias. Moreover, 15 systematic reviews showed positive effects of interventions on HCW HHC, whereas 3 reviews evaluating monitoring technology did not. Findings regarding whether multimodal rather than single interventions are preferable were inconclusive. Targeting social influence, attitude, self-efficacy, and intention were associated with greater effectiveness. No clear link emerged between how educational interventions were delivered and effectiveness.

This is the first systematic review of systematic reviews of interventions to improve HCW HHC. The evidence is sufficient to recommend the implementation of interventions to improve HCW HHC (except for monitoring technology), but it is insufficient to make specific recommendations regarding the content or how the content should be delivered. Future research should rigorously apply behavior change theory, and recommendations should be clearly described with respect to intervention content and how it is delivered. Such recommendations should be tested for longer terms using stronger study designs with clearly defined outcomes.

In 2012, the Centers for Medicare and Medicaid Services expanded a 2008 program that eliminated additional Medicare payment for mediastinitis following coronary artery bypass graft (CABG) to include Medicaid. We aimed to evaluate the impact of this Medicaid program on mediastinitis rates reported by the National Healthcare Safety Network (NHSN) compared with the rates of a condition not targeted by the program, deep-space surgical site infection (SSI) after knee replacement.

Interrupted time series with comparison group.

We included surveillance data from nonfederal acute-care hospitals participating in the NHSN and reporting CABG or knee replacement outcomes from January 2009 through June 2017. We examined the Medicaid program’s impact on NHSN-reported infection rates, adjusting for secular trends. The data analysis used generalized estimating equations with robust sandwich variance estimators.

During the study period, 196 study hospitals reported 273,984 CABGs to the NHSN, resulting in 970 mediastinitis cases (0.35%), and 294 hospitals reported 555,395 knee replacements, with 1,751 resultant deep-space SSIs (0.32%). There was no significant change in incidence of either condition during the study. Mediastinitis models showed no effect of the 2012 Medicaid program on either secular trend during the postprogram versus preprogram periods (P=.70) or an immediate program effect (P=.83). Results were similar in sensitivity analyses when adjusting for hospital characteristics, restricting to hospitals with consistent NHSN reporting or incorporating a program implementation roll-in period. Knee replacement models also showed no program effect.

The 2012 Medicaid program to eliminate additional payments for mediastinitis following CABG had no impact on reported mediastinitis rates.

Infect Control Hosp Epidemiol 2018;39:694–700

Active daily surveillance of central-line days (CLDs) in the assessment of rates of central-line–associated bloodstream infections (CLABSIs) is time-consuming and burdensome for healthcare workers. Sampling of denominator data is a method that could reduce the time necessary to conduct active surveillance.

To evaluate the accuracy of various sampling strategies in the estimation of CLABSI rates in adult and pediatric units in Greece.

Daily denominator data were collected across Greece for 6 consecutive months in 33 units: 11 adult units, 4 pediatric intensive care units (PICUs), 12 neonatal intensive care units (NICUs), and 6 pediatric oncology units. Overall, 32 samples were evaluated using the following strategies: (1) 1 fixed day per week, (2) 2 fixed days per week, and (3) 1 fixed week per month. The CLDs for each month were estimated as follows: (number of sample CLDs/number of sampled days) × 30. The estimated CLDs were used to calculate CLABSI rates. The accuracy of the estimated CLABSI rates was assessed by calculating the percentage error (PE): [(observed CLABSI rates − estimated CLABSI rates)/observed CLABSI rates].

Compared to other strategies, sampling over 2 fixed days per week provided the most accurate estimates of CLABSI rates for all types of units. Percentage of estimated CLABSI rates with PE ≤±5% using the strategy of 2 fixed days per week ranged between 74.6% and 88.7% in NICUs. This range was 79.4%–94.1% in pediatric onology units, 62.5%–91.7% in PICUs, and 80.3%–92.4% in adult units. Further evaluation with intraclass correlation coefficients and Bland-Altman plots indicated that the estimated CLABSI rates were reliable.

Sampling over 2 fixed days per week provides a valid alternative to daily collection of CLABSI denominator data. Adoption of such a monitoring method could be an important step toward better and less burdensome infection control and prevention.

Central line-associated bloodstream infection (CLABSI) is associated with significant morbidity and mortality. Despite a nationwide decline in CLABSI rates, individual hospital success in preventing CLABSI is variable. Difficulty in interpreting and applying complex CLABSI metrics may explain this problem. Therefore, we assessed expert interpretation of CLABSI quality data. DESIGN. Cross-sectional survey PARTICIPANTS. Members of the Society for Healthcare Epidemiology of America (SHEA) Research Network (SRN) METHODS. We administered a 10-item test of CLABSI data comprehension. The primary outcome was percent correct of attempted questions pertaining to the CLABSI data. We also assessed expert perceptions of CLABSI reporting.

The response rate was 51% (n=67).Among experts, the average proportion of correct responses was 73% (95% confidence interval [CI], 69%–77%). Expert performance on unadjusted data was significantly better than risk-adjusted data (86% [95% CI, 81%–90%] vs 65% [95% CI, 60%–70%]; P<.001). Using a scale of 1 to 100 (0, never reliable; 100, always reliable), experts rated the reliability of CLABSI data as 61. Perceived reliability showed a significant inverse relationship with performance (r=–0.28; P=.03), and as interpretation of data improved, perceptions regarding reliability of those data decreased. Experts identified concerns regarding understanding and applying CLABSI definitions as barriers to care.

Significant variability in the interpretation of CLABSI data exists among experts. This finding is likely related to data complexity, particularly with respect to risk-adjusted data. Improvements appear necessary in data sharing and public policy efforts to account for this complexity.

Infect Control Hosp Epidemiol 2018;39:71–76

To analyze the impact of the International Nosocomial Infection Control Consortium (INICC) Multidimensional Approach (IMA) and the INICC Surveillance Online System (ISOS) on central line-associated bloodstream infection (CLABSI) rates in 14 intensive care units (ICUs) in Argentina from January 2014 to April 2017.

This prospective, pre–post surveillance study of 3,940 ICU patients was conducted in 11 hospitals in 5 cities in Argentina. During our baseline evaluation, we performed outcome and process surveillance of CLABSI applying Centers for Disease Control and Prevention/National Health Safety Network (CDC/NHSN) definitions. During the intervention, we implemented the IMA through ISOS: (1) a bundle of infection prevention practice interventions, (2) education, (3) outcome surveillance, (4) process surveillance, (5) feedback on CLABSI rates and consequences, and (6) performance feedback of process surveillance. Bivariate and multivariate regression analyses were performed using a logistic regression model to estimate the effect of the intervention on the CLABSI rate.

During the baseline period, 5,118 CL days and 49 CLABSIs were recorded, for a rate of 9.6 CLABSIs per 1,000 central-line (CL) days. During the intervention, 15,659 CL days and 68 CLABSIs were recorded, for a rate of 4.1 CLABSIs per 1,000 CL days. The CLABSI rate was reduced by 57% (incidence density rate: 0.43; 95% confidence interval, 0.34–0.6; P<.001).

Implementing IMA through ISOS was associated with a significant reduction in the CLABSI rate in ICUs in Argentina.

Infect Control Hosp Epidemiol 2018;39:445–451

To assess general medical residents’ familiarity with antibiograms using a self-administered survey

Cross-sectional, single-center survey

Residents in internal medicine, family medicine, and pediatrics at an academic medical center

Participants were administered an anonymous survey at our institution during regularly scheduled educational conferences between January and May 2012. Questions collected data regarding demographics, professional training; further open-ended questions assessed knowledge and use of antibiograms regarding possible pathogens, antibiotic regimens, and prescribing resources for 2 clinical vignettes; a series of directed, closed-ended questions followed. Bivariate analyses to compare responses between residency programs were performed.

Of 122 surveys distributed, 106 residents (87%) responded; internal medicine residents accounted for 69% of responses. More than 20% of residents could not accurately identify pathogens to target with empiric therapy or select therapy with an appropriate spectrum of activity in response to the clinical vignettes; correct identification of potential pathogens was not associated with selecting appropriate therapy. Only 12% of respondents identified antibiograms as a resource when prescribing empiric antibiotic therapy for scenarios in the vignettes, with most selecting the UpToDate online clinical decision support resource or The Sanford Guide. When directly questioned, 89% reported awareness of institutional antibiograms, but only 70% felt comfortable using them and only 44% knew how to access them.

When selecting empiric antibiotics, many residents are not comfortable using antibiograms as part of treatment decisions. Efforts to improve antibiotic use may benefit from residents being given additional education on both infectious diseases pharmacotherapy and antibiogram utilization.

Infect Control Hosp Epidemiol 2018;39:578–583

Hand hygiene is the primary measure for reducing nosocomial infections based on 7 steps recommended by the WHO. The aim of this study was to assess the duration and the quality of hand hygiene before and after simulation-based training (SBT).

The study took place in a University Hospital Pediatric Department among its residents and nurses. In assessment A, 10 hand-rubbing procedures per participant during a work day were scored by observers using a validated, anatomically based assessment scale. Two weeks later, all participants received a didactic course and SBT, followed 1 month later by assessment B, observation of 10 hand-rubbing procedures. Assessments were performed by 2 independent observers. Before-and-after testing was used to evaluate the demonstration of theoretical knowledge.

In total, 22 participants were included, for whom 438 hand hygiene procedures were assessed: 218 for assessment A and 220 for assessment B. The duration of hand rubbing increased from 31.16 seconds in assessment A to 35.75 seconds in assessment B (P=.04). In assessment A, participants averaged 6.33 steps, and in assessment B, participants averaged 6.03 steps (difference not significant). Significant improvement in scores was observed between assessments A and B, except for the dorsal side of the right hand. The wrist and interdigital areas were the least-cleaned zones. A difference between assessments A and B was observed for nail varnish (P=.003) but not for long nails or jewelry. Theoretical scores increased from 2.83 to 4.29 (scale of 0–5; P<.001).

This study revealed that an optimal number of steps were performed during hand-rubbing procedures and that SBT improved the duration and quality of hand hygiene, except for the dorsal right side. Emphasis should be placed on the specific hand areas that remained unclean after regular hand-rubbing procedures.

Worldwide, Mycobacterium chimaera infections have been linked to contaminated aerosols from heater-cooler units (HCUs) during open-heart surgery. These infections have mainly been associated with the 3T HCU (LivaNova, formerly Sorin). The reasons for this and the risk of transmission from other HCUs have not been systematically assessed.

Prospective observational study.

University Hospital Basel, Switzerland.

Continuous microbiological surveillance of 3 types of HCUs in use (3T from LivaNova/Sorin and HCU30 and HCU40 from Maquet) was initiated in June 2014, coupled with an epidemiologic workup. Monthly water and air samples were taken. Construction design was analyzed, and exhausted airflow was measured.

Mycobacterium chimaera grew in 8 of 12 water samples (66%) and 22 of 24 air samples (91%) of initial 3T HCUs in use, and in 2 of 83 water samples (2%) and 0 of 41 (0%) air samples of new replacement 3T HCUs. Moreover, 7 of 12 water samples (58%) and 0 of 4 (0%) air samples from the HCU30 were positive, and 0 of 64 (0%) water samples and 0 of 50 (0%) air samples from the HCU40 were positive. We identified 4 relevant differences in HCU design compared to the 3T: air flow direction, location of cooling ventilators, continuous cooling of the water tank at 4°C, and an electronic alarm in the HCU40 reminding the user of the next disinfection cycle.

All infected patients were associated with a 3T HCU. The individual HCU design may explain the different risk of disseminating M. chimaera into the air of the operating room. These observations can help the construction of improved devices to ensure patient safety during cardiac surgery.

Infect Control Hosp Epidemiol 2018;834–840

This study examined the effect of the timing of administration of oseltamivir chemoprophylaxis for the control of influenza A H3N2 outbreaks among residents in long-term care facilities (LTCFs) in Manitoba, Canada, during the 2014–2015 influenza season.

A retrospective cohort study was conducted of all LTCF influenza A H3N2 outbreaks (n=94) using a hierarchical logistic regression analysis. The main independent variable was how many days passed between the start of the outbreak and commencement of oseltamivir chemoprophylaxis. The dependent variable was whether each person in the institution developed influenza-like illness (yes or no).

Delay of oseltamivir chemoprophylaxis was associated with increased odds of infection in both univariate (t=5·41; df=51; P<·0001) and multivariable analyses (t=6·04; df=49; P<·0001) with an adjusted odds ratio of 1.3 (95% confidence interval [CI], 1·2–1·5) per day for influenza A H3N2.

The sooner chemoprophylaxis is initiated, the lower the odds of secondary infection with influenza in LTCFs during outbreaks caused by influenza A H3N2 in Manitoba. For every day that passed from the start of the outbreak to the initiation of oseltamivir, the odds of a resident at risk of infection in the facility developing symptomatic infection increased by 33%.

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