Audit and Feedback to Reduce Broad-Spectrum Antibiotic Use among Intensive Care Unit Patients A Controlled Interrupted Time Series Analysis

2012 ◽  
Vol 33 (4) ◽  
pp. 354-361 ◽  
Author(s):  
Marion Elligsen ◽  
Sandra A. N. Walker ◽  
Ruxandra Pinto ◽  
Andrew Simor ◽  
Samira Mubareka ◽  
...  
Keyword(s):  
Time Series ◽  
Critical Care ◽  
Intensive Care ◽  
Broad Spectrum ◽  
Interrupted Time Series ◽  
Antibiotic Use ◽  
Audit And Feedback ◽  
Broad Spectrum Antibiotic ◽  
Days Of Therapy ◽  
Prospective Audit And Feedback

Objective.We aimed to rigorously evaluate the impact of prospective audit and feedback on broad-spectrum antimicrobial use among critical care patients.Design.Prospective, controlled interrupted time series.SettingSingle tertiary care center with 3 intensive care units.Patients and Interventions.A formal review of all critical care patients on their third or tenth day of broad-spectrum antibiotic therapy was conducted, and suggestions for antimicrobial optimization were communicated to the critical care team.Outcomes.The primary outcome was broad-spectrum antibiotic use (days of therapy per 1000 patient-days; secondary outcomes included overall antibiotic use, gram-negative bacterial susceptibility, nosocomial Clostridium difficile infections, length of stay, and mortality.Results.The mean monthly broad-spectrum antibiotic use decreased from 644 days of therapy per 1,000 patient-days in the preintervention period to 503 days of therapy per 1,000 patient-days in the postintervention period (P < .0001); time series modeling confirmed an immediate decrease (± standard error) of 119 ± 37.9 days of therapy per 1,000 patient-days (P = .0054). In contrast, no changes were identified in the use of broad-spectrum antibiotics in the control group (nonintervention medical and surgical wards) or in the use of control medications in critical care (stress ulcer prophylaxis). The incidence of nosocomial C. difficile infections decreased from 11 to 6 cases in the study intensive care units, whereas the incidence increased from 87 to 116 cases in the control wards (P = .04). Overall gram-negative susceptibility to meropenem increased in the critical care units. Intensive care unit length of stay and mortality did not change.Conclusions.Institution of a formal prospective audit and feedback program appears to be a safe and effective means to improve broad-spectrum antimicrobial use in critical care.

Evaluating a Pharmacy-Driven 72-Hour Antibiotic Monitoring Program Implemented in a Community Hospital

2019 ◽  
pp. 001857871986766
Author(s):  
Vishal Patel ◽  
Shaina Doyen
Keyword(s):  
Infectious Diseases ◽  
Antimicrobial Stewardship ◽  
Broad Spectrum ◽  
Community Hospital ◽  
Monitoring Program ◽  
Antibiotic Use ◽  
Audit And Feedback ◽  
Broad Spectrum Antibiotic ◽  
Days Of Therapy ◽  
The Impact

Background: Antimicrobial stewardship programs commonly utilize infectious diseases pharmacists to guide appropriate utilization of broad-spectrum antimicrobials. Strategies should be developed to increase staff pharmacist’s participation in decreasing broad-spectrum antibiotic use. Objective: The purpose of this study was to determine the effectiveness of a pharmacy-driven 72-hour antimicrobial stewardship initiative. Methods: A pharmacy-driven 72-hour antibiotic review policy was implemented at a community hospital. Targeted antibiotics included ertapenem, meropenem, and daptomycin. The hospital’s infectious diseases pharmacist provided policy education to staff pharmacists. All pharmacists provided prospective audit and feedback to physicians. Preimplementation and postimplementation data were collected through a retrospective chart review to analyze the impact of the initiative. Results: There were a total of 570 targeted antibiotic orders for review, of which 155 antibiotic orders met criteria for inclusion; 97 in the preimplementation group and 58 in the postimplementation group. Targeted antibiotic orders decreased postimplementation during the study period. Days of therapy per 1000 patient days decreased between the 2 groups, although this was statistically significant neither for the pooled targeted antibiotics nor for each individual antibiotic. There was a statistically significant increase in the number of appropriately prescribed targeted antibiotics from preimplementation compared to postimplementation (from 35% to 64%, P < .01). Pharmacist interventions documented for patients receiving the targeted antibiotics increased significantly during the intervention period ( P < .01). In addition, there was a total of $28 795.96 in cost avoidance based on the difference in antibiotic use between the 2 groups. Conclusion: Implementation of a pharmacy-driven 72-hour broad-spectrum antibiotic review in a large community-based hospital resulted in a reduction in utilization and hospital spending and a significant increase in appropriate use of targeted antibiotics, while also increasing pharmacist engagement with antimicrobial stewardship.

scholarly journals Acceptability and effectiveness of antimicrobial stewardship implementation strategies on fluoroquinolone prescribing

2021 ◽  
pp. 1-8
Author(s):  
Katie J. Suda ◽  
Gosia S. Clore ◽  
Charlesnika T. Evans ◽  
Heather Schacht Reisinger ◽  
Ibuola Kale ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Clinical Pathways ◽  
Statistical Significance ◽  
Implementation Strategies ◽  
Antibiotic Use ◽  
Audit And Feedback ◽  
Prior Approval ◽  
Days Of Therapy ◽  
Prospective Audit And Feedback ◽  
Advanced Generation

Abstract Objective: To assess the effectiveness and acceptability of antimicrobial stewardship-focused implementation strategies on inpatient fluoroquinolones. Methods: Stewardship champions at 15 hospitals were surveyed regarding the use and acceptability of strategies to improve fluoroquinolone prescribing. Antibiotic days of therapy (DOT) per 1,000 days present (DP) for sites with and without prospective audit and feedback (PAF) and/or prior approval were compared. Results: Among all of the sites, 60% had PAF or prior approval implemented for fluoroquinolones. Compared to sites using neither strategy (64.2 ± 34.4 DOT/DP), fluoroquinolone prescribing rates were lower for sites that employed PAF and/or prior approval (35.5 ± 9.8; P = .03) and decreased from 2017 to 2018 (P < .001). This decrease occurred without an increase in advanced-generation cephalosporins. Total antibiotic rates were 13% lower for sites with PAF and/or prior approval, but this difference did not reach statistical significance (P = .20). Sites reporting that PAF and/or prior approval were “completely” accepted had lower fluoroquinolone rates than sites where it was “moderately” accepted (34.2 ± 5.7 vs 48.7 ± 4.5; P < .01). Sites reported that clinical pathways and/or local guidelines (93%), prior approval (93%), and order forms (80%) “would” or “may” be effective in improving fluoroquinolone use. Although most sites (73%) indicated that requiring infectious disease consults would or may be effective in improving fluoroquinolones, 87% perceived implementation to be difficult. Conclusions: PAF and prior approval implementation strategies focused on fluoroquinolones were associated with significantly lower fluoroquinolone prescribing rates and nonsignificant decreases in total antibiotic use, suggesting limited evidence for class substitution. The association of acceptability of strategies with lower rates highlights the importance of culture. These results may indicate increased acceptability of implementation strategies and/or sensitivity to FDA warnings.

scholarly journals Impact of Removal of Automatic 7-Day Stop Orders for Inpatient Antimicrobials

2020 ◽  
Vol 41 (S1) ◽  
pp. s264-s265
Author(s):  
Afia Adu-Gyamfi ◽  
Keith Hamilton ◽  
Leigh Cressman ◽  
Ebbing Lautenbach ◽  
Lauren Dutcher
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Antibiotic Use ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
Treatment Interruptions ◽  
Days Of Therapy ◽  
Quasi Experimental ◽  
The Impact

Background: Automatic discontinuation of antimicrobial orders after a prespecified duration of therapy has been adopted as a strategy for reducing excess days of therapy (DOT) as part of antimicrobial stewardship efforts. Automatic stop orders have been shown to decrease antimicrobial DOT. However, inadvertent treatment interruptions may occur as a result, potentially contributing to adverse patient outcomes. To evaluate the effects of this practice, we examined the impact of the removal of an electronic 7-day ASO program on hospitalized patients. Methods: We performed a quasi-experimental study on inpatients in 3 acute-care academic hospitals. In the preintervention period (automatic stop orders present; January 1, 2016, to February 28, 2017), we had an electronic dashboard to identify and intervene on unintentionally missed doses. In the postintervention period (April 1, 2017, to March 31, 2018), the automatic stop orders were removed. We compared the primary outcome, DOT per 1,000 patient days (PD) per month, for patients in the automatic stop orders present and absent periods. The Wilcoxon rank-sum test was used to compare median monthly DOT/1,000 PD. Interrupted time series analysis (Prais-Winsten model) was used to compared trends in antibiotic DOT/1,000 PD and the immediate impact of the automatic stop order removal. Manual chart review on a subset of 300 patients, equally divided between the 2 periods, was performed to assess for unintentionally missed doses. Results: In the automatic stop order period, a monthly median of 644.5 antibiotic DOT/1,000 PD were administered, compared to 686.2 DOT/1,000 PD in the period without automatic stop orders (P < .001) (Fig. 1). Using interrupted time series analysis, there was a nonsignificant increase by 46.7 DOT/1,000 PD (95% CI, 40.8 to 134.3) in the month immediately following removal of automatic stop orders (P = .28) (Fig. 2). Even though the slope representing monthly change in DOT/1,000 PD increased in the period without automatic stop orders compared to the period with automatic stop orders, it was not statistically significant (P = .41). Manual chart abstraction revealed that in the period with automatic stop orders, 9 of 150 patients had 17 unintentionally missed days of therapy, whereas none (of 150 patients) in the period without automatic stop orders did. Conclusions: Following removal of the automatic stop orders, there was an overall increase in antibiotic use, although the change in monthly trend of antibiotic use was not significantly different. Even with a dashboard to identify missed doses, there was still a risk of unintentionally missed doses in the period with automatic stop orders. Therefore, this risk should be weighed against the modest difference in antibiotic utilization garnered from automatic stop orders.Funding: NoneDisclosures: None

Quantifying Empiric Antibiotic Use in US Children’s Hospitals

2021 ◽  
Author(s):  
Kathleen Chiotos ◽  
Lauren D’Arinzo ◽  
Eimear Kitt ◽  
Rachael Ross ◽  
Jeffrey S. Gerber
Keyword(s):  
Broad Spectrum ◽  
Antibiotic Use ◽  
Level Variation ◽  
Hospital Level ◽  
Broad Spectrum Antibiotic ◽  
Children's Hospitals ◽  
Broad Spectrum Antibiotics ◽  
Children’S Hospitals ◽  
Days Of Therapy ◽  
Rule Out

OBJECTIVES Empirical broad-spectrum antibiotics are routinely administered for short durations to children with suspected bacteremia while awaiting blood culture results. Our aim for this study was to estimate the proportion of broad-spectrum antibiotic use accounted for by these “rule-outs.” METHODS The Pediatric Health Information System was used to identify children aged 3 months to 20 years hospitalized between July 2016 and June 2017 who received broad-spectrum antibiotics for suspected bacteremia. Using an electronic definition for a rule-out, we estimated the proportion of all broad-spectrum antibiotic days of therapy accounted for by this indication. Clinical and demographic characteristics, as well as antibiotic choice, are reported descriptively. RESULTS A total of 67 032 episodes of suspected bacteremia across 42 hospitals were identified. From these, 34 909 (52%) patients were classified as having received an antibiotic treatment course, and 32 123 patients (48%) underwent an antibiotic rule-out without a subsequent treatment course. Antibiotics prescribed for rule-outs accounted for 12% of all broad-spectrum antibiotic days of therapy. Third-generation cephalosporins and vancomycin were the most commonly prescribed antibiotics, and substantial hospital-level variation in vancomycin use was identified (range: 16%–58% of suspected bacteremia episodes). CONCLUSIONS Broad-spectrum intravenous antibiotic use for rule-out infections appears common across children’s hospitals, with substantial hospital-level variation in the use of vancomycin in particular. Antibiotic stewardship programs focused on intervening on antibiotics prescribed for longer durations may consider this novel opportunity to further standardize antibiotic regimens and reduce antibiotic exposure.

The Impact of a National Antimicrobial Stewardship Program on Antibiotic Prescribing in Primary Care: An Interrupted Time Series Analysis

2018 ◽  
Vol 69 (2) ◽  
pp. 227-232 ◽  
Author(s):  
Violeta Balinskaite ◽  
Alan P Johnson ◽  
Alison Holmes ◽  
Paul Aylin
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Broad Spectrum ◽  
Interrupted Time Series ◽  
Series Data ◽  
Antibiotic Prescribing ◽  
Segmented Regression ◽  
Broad Spectrum Antibiotic ◽  
Stewardship Program ◽  
The Impact

Abstract Background The Quality Premium was introduced in 2015 to financially reward local commissioners of healthcare in England for targeted reductions in antibiotic prescribing in primary care. Methods We used a national antibiotic prescribing dataset from April 2013 until February 2017 to examine the number of antibiotic items prescribed, the total number of antibiotic items prescribed per STAR-PU (specific therapeutic group age/sex-related prescribing units), the number of broad-spectrum antibiotic items prescribed, and broad-spectrum antibiotic items prescribed, expressed as a percentage of the total number of antibiotic items. To evaluate the impact of the Quality Premium on antibiotic prescribing, we used a segmented regression analysis of interrupted time series data. Results During the study period, over 140 million antibiotic items were prescribed in primary care. Following the introduction of the Quality Premium, antibiotic items prescribed decreased by 8.2%, representing 5933563 fewer antibiotic items prescribed during the 23 post-intervention months, as compared with the expected numbers based on the trend in the pre-intervention period. After adjusting for the age and sex distribution in the population, the segmented regression model also showed a significant relative decrease in antibiotic items prescribed per STAR-PU. A similar effect was found for broad-spectrum antibiotics (comprising 10.1% of total antibiotic prescribing), with an 18.9% reduction in prescribing. Conclusions This study shows that the introduction of financial incentives for local commissioners of healthcare to improve the quality of prescribing was associated with a significant reduction in both total and broad-spectrum antibiotic prescribing in primary care in England.

Impact of Order-Set Modifications and Provider Education Following Guideline Updates on Broad-Spectrum Antibiotic Use in Patients Admitted With Community Acquired Pneumonia

2021 ◽  
pp. 001857872110557
Author(s):  
Jessica L. Colmerauer ◽  
Kristin E. Linder ◽  
Casey J. Dempsey ◽  
Joseph L. Kuti ◽  
David P. Nicolau ◽  
...  
Keyword(s):  
Broad Spectrum ◽  
Antibiotic Use ◽  
Community Acquired Pneumonia ◽  
Intervention Period ◽  
Provider Education ◽  
Broad Spectrum Antibiotic ◽  
Post Intervention ◽  
Post Intervention Period ◽  
Days Of Therapy ◽  
Order Set

Purpose: Following updates to the Infectious Diseases Society of America (IDSA) practice guidelines for the Diagnosis and Treatment of Adults with Community-acquired Pneumonia in 2019, Hartford HealthCare implemented changes to the community acquired pneumonia (CAP) order-set in August 2020 to reflect criteria for the prescribing of broad-spectrum antimicrobial therapy. The objective of the study was to evaluate changes in broad-spectrum antibiotic days of therapy (DOT) following these order-set updates with accompanying provider education. Methods: This was a multi-center, quasi-experimental, retrospective study of patients with a diagnosis of CAP from September 1, 2019 to October 31, 2019 (pre-intervention) and September 1, 2020 to October 31, 2020 (post-intervention). Patients were identified using ICD-10 codes (A48.1, J10.00-J18.9) indicating lower respiratory tract infection. Data collected included demographics, labs and vitals, radiographic, microbiological, and antibiotic data. The primary outcome was change in broad-spectrum antibiotic DOT, specifically anti-pseudomonal β-lactams and anti-MRSA antibiotics. Secondary outcomes included guideline-concordance of initial antibiotics, utilization of an order-set to prescribe antibiotics, and length of stay (LOS). Results: A total of 331 and 352 patients were included in the pre- and post-intervention cohorts, respectively. There were no differences in order-set usage (10% vs 11.3%, P = .642) between the pre- and post-intervention cohort, respectively. The overall duration of broad-spectrum therapy was a median of 2 days (IQR 0-8 days) in the pre-intervention period and 0 days (IQR 0-4 days) in the post-intervention period ( P < .001). Patients in whom the order-set was used in the post-intervention period were more likely to have guideline-concordant regimens ([36/40] 90% vs [190/312] 60.9%; P = .003). Hospital LOS was shorter in the post-intervention cohort (4.8 days [2.9-7.2 days] vs 5.3 days [IQR 3.5-8.5 days], P = .002). Conclusion: Implementation of an updated CAP order-set with accompanying provider education was associated with reduced use of broad-spectrum antibiotics. Opportunities to improve compliance and thus further increase guideline-concordant therapy require investigation.

scholarly journals Reduction of broad-spectrum antibiotic use with computerized decision support in an intensive care unit

2006 ◽  
Vol 18 (3) ◽  
pp. 224-231 ◽  
Author(s):  
Karin A. Thursky ◽  
Kirsty L. Buising ◽  
Narin Bak ◽  
Lachlan Macgregor ◽  
Alan C. Street ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Decision Support ◽  
Broad Spectrum ◽  
Antibiotic Use ◽  
Broad Spectrum Antibiotic ◽  
Computerized Decision Support
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