Antimicrobial Stewardship in a Long-Term Acute Care Hospital Using Offsite Electronic Medical Record Audit

2016 ◽  
Vol 37 (4) ◽  
pp. 433-439 ◽  
Author(s):  
Kirthana Beaulac ◽  
Silvia Corcione ◽  
Lauren Epstein ◽  
Lisa E. Davidson ◽  
Shira Doron

OBJECTIVETo offer antimicrobial stewardship to a long-term acute care hospital using telemedicine.METHODSWe conducted an uninterrupted time-series analysis to measure the impact of antimicrobial stewardship on hospital-acquired Clostridium difficile infection (CDI) rates and antimicrobial use. Simple linear regression was used to analyze changes in antimicrobial use; Poisson regression was used to estimate the incidence rate ratio in CDI rates. The preimplementation period was April 1, 2010–March 31, 2011; the postimplementation period was April 1, 2011–March 31, 2014.RESULTSDuring the preimplementation period, total antimicrobial usage was 266 defined daily doses (DDD)/1,000 patient-days (PD); it rose 4.54 (95% CI, −0.19 to 9.28) per month then significantly decreased from preimplementation to postimplementation (−6.58 DDD/1,000 PD [95% CI, −11.48 to −1.67]; P=.01). The same trend was observed for antibiotics against methicillin-resistant Staphylococcus aureus (−2.97 DDD/1,000 PD per month [95% CI, −5.65 to −0.30]; P=.03). There was a decrease in usage of anti-CDI antibiotics by 50.4 DDD/1,000 PD per month (95% CI, −71.4 to −29.2; P<.001) at program implementation that was maintained afterwards. Anti-Pseudomonas antibiotics increased after implementation (30.6 DDD/1,000 PD per month [95% CI, 4.9–56.3]; P=.02) but with ongoing education this trend reversed. Intervention was associated with a decrease in hospital-acquired CDI (incidence rate ratio, 0.57 [95% CI, 0.35–0.92]; P=.02).CONCLUSIONAntimicrobial stewardship using an electronic medical record via remote access led to a significant decrease in antibacterial usage and a decrease in CDI rates.Infect. Control Hosp. Epidemiol. 2016;37(4):433–439

2012 ◽  
Vol 33 (4) ◽  
pp. 405-408 ◽  
Author(s):  
Perry G. Pate ◽  
Donald F. Storey ◽  
Donna L. Baum

We implemented an antimicrobial stewardship program at an urban, 60-bed long-term acute care hospital using a strategy of weekly postprescriptive chart audit with intervention and feedback. The results for the first 15 months demonstrated 80% acceptance of recommendations, a 21% reduction in use, and a 28% reduction in cost per patient-day.


2011 ◽  
Vol 52 (8) ◽  
pp. 988-994 ◽  
Author(s):  
M. Deutscher ◽  
S. Schillie ◽  
C. Gould ◽  
J. Baumbach ◽  
M. Mueller ◽  
...  

2021 ◽  
Vol 1 (S1) ◽  
pp. s23-s24
Author(s):  
Michihiko Goto ◽  
Eli Perencevich ◽  
Alexandre Marra ◽  
Bruce Alexander ◽  
Brice Beck ◽  
...  

Group Name: VHA Center for Antimicrobial Stewardship and Prevention of Antimicrobial Resistance (CASPAR) Background: Antimicrobial stewardship programs (ASPs) are advised to measure antimicrobial consumption as a metric for audit and feedback. However, most ASPs lack the tools necessary for appropriate risk adjustment and standardized data collection, which are critical for peer-program benchmarking. We created a system that automatically extracts antimicrobial use data and patient-level factors for risk-adjustment and a dashboard to present risk-adjusted benchmarking metrics for ASP within the Veterans’ Health Administration (VHA). Methods: We built a system to extract patient-level data for antimicrobial use, procedures, demographics, and comorbidities for acute inpatient and long-term care units at all VHA hospitals utilizing the VHA’s Corporate Data Warehouse (CDW). We built baseline negative binomial regression models to perform risk-adjustments based on patient- and unit-level factors using records dated between October 2016 and September 2018. These models were then leveraged both retrospectively and prospectively to calculate observed-to-expected ratios of antimicrobial use for each hospital and for specific units within each hospital. Data transformation and applications of risk-adjustment models were automatically performed within the CDW database server, followed by monthly scheduled data transfer from the CDW to the Microsoft Power BI server for interactive data visualization. Frontline antimicrobial stewards at 10 VHA hospitals participated in the project as pilot users. Results: Separate baseline risk-adjustment models to predict days of therapy (DOT) for all antibacterial agents were created for acute-care and long-term care units based on 15,941,972 patient days and 3,011,788 DOT between October 2016 and September 2018 at 134 VHA hospitals. Risk adjustment models include month, unit types (eg, intensive care unit [ICU] vs non-ICU for acute care), specialty, age, gender, comorbidities (50 and 30 factors for acute care and long-term care, respectively), and preceding procedures (45 and 24 procedures for acute care and long-term care, respectively). We created additional models for each antimicrobial category based on National Healthcare Safety Network definitions. For each hospital, risk-adjusted benchmarking metrics and a monthly ranking within the VHA system were visualized and presented to end users through the dashboard (an example screenshot in Figure 1). Conclusions: Developing an automated surveillance system for antimicrobial consumption and risk-adjustment benchmarking using an electronic medical record data warehouse is feasible and can potentially provide valuable tools for ASPs, especially at hospitals with no or limited local informatics expertise. Future efforts will evaluate the effectiveness of dashboards in these settings.Funding: NoDisclosures: None


Sign in / Sign up

Export Citation Format

Share Document