Measuring Antibiotic Appropriateness for Urinary Tract Infections in Nursing Home Residents.

We assessed the appropriateness of initiating antibiotics in 49 nursing home (NH) residents receiving antibiotics for urinary tract infection (UTI) using 3 published algorithms. Overall, 16 residents (32%) received prophylaxis, and among the 33 receiving treatment, the percentage of appropriate use ranged from 15% to 45%. Opportunities exist for improving UTI antibiotic prescribing in NH. Infect Control Hosp Epidemiol 2017;38:998-1001.

Prevalence of Antimicrobial Use and Opportunities to Improve Prescribing Practices in U.S. Nursing Homes.

OBJECTIVES: To describe the prevalence and epidemiology of antimicrobial use (AU) in nursing home residents. DESIGN: One-day point prevalence survey. SETTING AND PARTICIPANTS: Nine nursing homes in four states; 1,272 eligible residents. MEASUREMENT: Frequency of antimicrobials prescribed, drug name, start date, duration, route, rationale, and treatment site. AU prevalence per 100 residents overall and by resident characteristic. RESULTS: AU prevalence was 11.1% (95% confidence interval, 9.4%-12.9%) and varied by resident characteristics. Most (32%) antimicrobials were given for urinary tract infection. For 38% of AU, key prescribing information was not documented. CONCLUSION: Opportunities to improve AU documentation and prescribing exist in nursing homes.

Comparison of Data Collection for Healthcare-Associated Infection Surveillance in Nursing Homes.

OBJECTIVE To facilitate surveillance and describe the burden of healthcare-associated infection (HAI) in nursing homes (NHs), we compared the quality of resident-level data collected by NH personnel and external staff. DESIGN A 1-day point-prevalence survey SETTING AND PARTICIPANTS Overall, 9 nursing homes among 4 Centers for Disease Control and Prevention (CDC) Emerging Infection Program (EIP) sites were included in this study. METHODS NH personnel collected data on resident characteristics, clinical risk factors for HAIs, and the presence of 3 HAI screening criteria on the day of the survey. Trained EIP surveillance officers collected the same data elements via retrospective medical chart review for comparison; surveillance officers also collected available data to identify HAIs (using revised McGeer definitions). Overall agreement was calculated among residents identified by both teams with selected risk factors and HAI screening criteria. The impact of using NH personnel to collect screening criteria on HAI prevalence was assessed. RESULTS The overall prevalence of clinical risk factors among the 1,272 residents was similar between NH personnel and surveillance officers, but the level of positive agreement (residents with factors identified by both teams) varied between 39% and 87%. Surveillance officers identified 253 residents (20%) with ≥1 HAI screening criterion, resulting in 67 residents with an HAI (5.3 per 100 residents). The NH personnel identified 152 (12%) residents with ≥1 HAI screening criterion; 42 residents had an HAI (3.5 per 100 residents). CONCLUSION We identified discrepancies in resident-level data collection between surveillance officers and NH personnel, resulting in varied estimates of the HAI prevalence. These findings have important implications for the design and implementation of future HAI prevalence surveys. Infect Control Hosp Epidemiol 2016;1440-1445.

Sustained reduction of central line-associated bloodstream infections outside the intensive care unit with a multimodal intervention focusing on central line maintenance.

BACKGROUND: Central venous catheter use is common outside the intensive care units (ICUs), but prevention in this setting is not well studied. We initiated surveillance for central line-associated bloodstream infections (CLABSIs) outside the ICU setting and studied the impact of a multimodal intervention on the incidence of CLABSIs across multiple hospitals. METHODS: This project was constructed as a prospective preintervention-postintervention design. The project comprised 3 phases (preintervention [baseline], intervention, and postintervention) over a 4.5-year period (2008-2012) and was implemented through a collaborative of 37 adult non-ICU wards at 6 hospitals in the Rochester, NY area. The intervention focused on engagement of nursing staff and leadership, nursing education on line care maintenance, competence evaluation, audits of line care, and regular feedback on CLABSI rates. Quarterly rates were compared over time in relation to intervention implementation. RESULTS: The overall CLABSI rate for all participating units decreased from 2.6/1000 line-days preintervention to 2.1/1,000 line-days during the intervention and to 1.3/1,000 line-days postintervention, a 50% reduction (95% confidence interval, .40-.59) compared with the preintervention period (P .0179). CONCLUSION: A multipronged approach blending both the adaptive and technical aspects of care including front line engagement, education, execution of best practices, and evaluation of both process and outcome measures may provide an effective strategy for reducing CLABSI rates outside the ICU.