Reducing Catheter-Associated Urinary Tract Infections Across a Hospital System Through Urine Culture Stewardship.

Objective: To evaluate the effectiveness and safety of an evidence-based urine culture stewardship program in reducing hospital catheter-associated urinary tract infections (CAUTIs) and the rate of CAUTIs across a 3-hospital system. Patients and Methods: This is a prospective, 2-year quality improvement program conducted from October 1, 2018, to September 30, 2020. An evidence-based urine culture stewardship program was designed, which consisted of the following: criteria for allowing or restricting urine cultures from catheterized patients, a best practice advisory integrated into the ordering system of an electronic medical record, and a systematic provider education and feedback program to ensure compliance. The system-wide rates of CAUTIs (total CAUTIs/catheter days×1000), changes in intercepts, trends, mortality, length of stay, rates of device utilization, and rates of hospital-onset sepsis were compared for 3 years before and 2 years after the launch of the program. Results: Catheter-associated urinary tract infections progressively decreased after the initiation of the program (B=-0.21, P=.001). When the trends before and after the initiation of the program were compared, there were no statistically significant increases in the ratio of actual to predicted hospital length of stay, intensive care unit length of stay, system-wide mortality, and intensive care unit mortality. Although the rates of hospital-acquired sepsis remained consistent after the implementation of the stewardship program through the first quarter of 2020, the rates showed an increase in the second and third quarters of 2020. However, hospital-onset sepsis events associated with the diagnosis of a urinary tract infection did not increase after the intervention. Conclusion: Urine culture stewardship is a safe and effective way to reduce CAUTIs among patients in a large multihospital health care system. Patient safety indicators appeared unchanged after the implementation of the program, and ongoing follow-up will improve confidence in the long-term sustainability of this strategy.

Knowledge translation of the American College of Emergency Physicians' clinical policy on syncope using computerized clinical decision support.

AIMS: To influence physician practice behavior after implementation of a computerized clinical decision support system (CDSS) based upon the recommendations from the 2007 ACEP Clinical Policy on Syncope. METHODS: This was a pre-post intervention with a prospective cohort and retrospective controls. We conducted a medical chart review of consecutive adult patients with syncope. A computerized CDSS prompting physicians to explain their decision-making regarding imaging and admission in syncope patients based upon ACEP Clinical Policy recommendations was embedded into the emergency department information system (EDIS). The medical records of 410 consecutive adult patients presenting with syncope were reviewed prior to implementation, and 301 records were reviewed after implementation. Primary outcomes were physician practice behavior demonstrated by admission rate and rate of head computed tomography (CT) imaging before and after implementation. RESULTS: There was a significant difference in admission rate pre- and post-intervention (68.1% vs. 60.5% respectively, p = 0.036). There was no significant difference in the head CT imaging rate pre- and post-intervention (39.8% vs. 43.2%, p = 0.358). There were seven physicians who saw ten or more patients during the pre- and post-intervention. Subset analysis of these seven physicians' practice behavior revealed a slight significant difference in the admission rate pre- and post-intervention (74.3% vs. 63.9%, p = 0.0495) and no significant difference in the head CT scan rate pre- and post-intervention (42.9% vs. 45.4%, p = 0.660). CONCLUSIONS: The introduction of an evidence-based CDSS based upon ACEP Clinical Policy recommendations on syncope correlated with a change in physician practice behavior in an urban academic emergency department. This change suggests emergency medicine clinical practice guideline recommendations can be incorporated into the physician workflow of an EDIS to enhance the quality of practice.

Emergency department patient volume and troponin laboratory turnaround time.

OBJECTIVES: Increases in emergency department (ED) visits may place a substantial burden on both the ED and hospital-based laboratories. Studies have identified laboratory turnaround time (TAT) as a barrier to patient process times and lengths of stay. Prolonged laboratory study results may also result in delayed recognition of critically ill patients and initiation of appropriate therapies. The objective of this study was to determine how ED patient volume itself is associated with laboratory TAT. METHODS: This was a retrospective cohort review of patients at five academic, tertiary care EDs in the United States. Data were collected on all adult patients seen in each ED with troponin laboratory testing during the months of January, April, July, and October 2007. Primary predictor variables were two ED patient volume measures at the time the troponin test was ordered: 1) number of all patients in the ED/number of beds (occupancy) and 2) number of admitted patients waiting for beds/beds (boarder occupancy). The outcome variable was troponin turnaround time (TTAT). Adjusted covariates included patient characteristics, triage severity, season (month of the laboratory test), and site. Multivariable adjusted quantile regression was carried out to assess the association of ED volume measures with TTAT. RESULTS: At total of 9,492 troponin tests were reviewed. Median TTAT for this cohort was 107 minutes (interquartile range [IQR] = 73-148 minutes). Median occupancy for this cohort was 1.05 patients (IQR = 0.78-1.38 patients) and median boarder occupancy was 0.21 (IQR = 0.11-0.32). Adjusted quantile regression demonstrated a significant association between increased ED patient volume and longer times to TTAT. For every 100% increase in census, or number of boarders over the number of ED beds, respectively, there was a 12 (95% confidence interval [CI] = 9 to 14) or 33 (95% CI = 24 to 42)-minute increase in TTAT. CONCLUSIONS: Increased ED patient volume is associated with longer hospital laboratory processing times. Prolonged laboratory TAT may delay recognition of conditions in the acutely ill, potentially affecting clinician decision-making and the initiation of timely treatment. Use of laboratory TAT as a patient throughput measure and the study of factors associated with its prolonging should be further investigated.