scholarly journals Measuring Empiric Antibiotic Spectrum Patterns Across Space and Time

2020 ◽  
Vol 41 (S1) ◽  
pp. s2-s4
Author(s):  
Michael Yarrington ◽  
Rebekah Moehring ◽  
Deverick John Anderson ◽  
Rebekah Wrenn ◽  
Christina Sarubbi ◽  
...  
Keyword(s):  
Critical Care ◽  
Medical Center ◽  
Academic Medical Center ◽  
Antibiotic Use ◽  
Time Of Day ◽  
Weekend Effect ◽  
Antibiotic Administration ◽  
Critical Care Units ◽  
Hospital Units ◽  
Medical Icus

Background: Quantitative evaluation of antibiotic spectrum is an important, underutilized metric in measuring antibiotic use (AU) and may assist antimicrobial stewards in identifying targets and strategy for intervention. We evaluated the spectrum of initial antibiotic choices by hospital location, day of the week, and time of day to determine whether these factors may be associated with broad-spectrum antibiotic choices. Methods: We identified all admissions with antibiotic exposure in medical and surgical wards and critical care units in a tertiary academic medical center between July 1, 2014, and July 1, 2019. The antibiotic spectrum index (ASI), proposed by Gerber et al, is a numeric score based on the number of pathogens covered by a particular agent. We defined ASI for initial antibiotic choice as follows: ASI for each unique antibiotic administered within 24 hours of the first antibiotic administration was summed and assigned to the administration time of the first dose. We categorized time into 4 distinct categories: weekday days (Monday–Friday, 7 a.m.–7 p.m.), weekday nights, weekend days, and weekend nights. Weekend time began 7 p.m. Friday and ended 7 a.m. Monday. We constructed heatmaps stratified by hospital location. Mann-Whitney U tests were applied to evaluate differences in the distributions of ASI using weekday days as a reference. Results: Data included 90,455 unique antibiotic admissions with initial antibiotic starts in medical and surgical wards and critical care units. Patterns of ASI for initial antibiotic choice varied between unit locations and time (Figs. 1 and 2). Mean and median ASIs for initial antibiotic choices were higher for medical ward and medical ICUs than for surgical wards and surgical ICUs. Initial antibiotic choices had higher ASIs during overnight hours for all units except the surgical ICU. Notable differences in ASIs were identified between weekday and weekend prescribing for surgical units, whereas medical units demonstrated less extreme differences. Conclusion: We observed a “weekend effect” across hospital units; the most extreme occurred in surgical wards. This observation may be due to differences in patient volume and rounding patterns. For example, hospitalist and critical care units have 7-day schedules, whereas surgical wards are highly influenced by operating room schedules. Antimicrobial stewardship teams may use these data to identify strategies targeting the most opportune time and place to intervene on the spectrum of initial antibiotic choice.Funding: NoneDisclosures: None

scholarly journals Clinical Team Distribution and Antibiotic Use Patterns at a Tertiary-Care Academic Medical Center

2020 ◽  
Vol 41 (S1) ◽  
pp. s168-s169
Author(s):  
Rebecca Choudhury ◽  
Ronald Beaulieu ◽  
Thomas Talbot ◽  
George Nelson
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Tertiary Care ◽  
Antibiotic Use ◽  
Care Hospital ◽  
Hospital Units ◽  
Antibiotic Utilization ◽  
Academic Medical ◽  
Level Data ◽  
Utilization Data

Background: As more US hospitals report antibiotic utilization to the CDC, standardized antimicrobial administration ratios (SAARs) derived from patient care unit-based antibiotic utilization data will increasingly be used to guide local antibiotic stewardship interventions. Location-based antibiotic utilization surveillance data are often utilized given the relative ease of ascertainment. However, aggregating antibiotic use data on a unit basis may have variable effects depending on the number of clinical teams providing care. In this study, we examined antibiotic utilization from units at a tertiary-care hospital to illustrate the potential challenges of using unit-based antibiotic utilization to change individual prescribing. Methods: We used inpatient pharmacy antibiotic use administration records at an adult tertiary-care academic medical center over a 6-month period from January 2019 through June 2019 to describe the geographic footprints and AU of medical, surgical, and critical care teams. All teams accounting for at least 1 patient day present on each unit during the study period were included in the analysis, as were all teams prescribing at least 1 antibiotic day of therapy (DOT). Results: The study population consisted of 24 units: 6 ICUs (25%) and 18 non-ICUs (75%). Over the study period, the average numbers of teams caring for patients in ICU and non-ICU wards were 10.2 (range, 3.2–16.9) and 13.7 (range, 10.4–18.9), respectively. Units were divided into 3 categories by the number of teams, accounting for ≥70% of total patient days present (Fig. 1): “homogenous” (≤3), “pauciteam” (4–7 teams), and “heterogeneous” (>7 teams). In total, 12 (50%) units were “pauciteam”; 7 (29%) were “homogeneous”; and 5 (21%) were “heterogeneous.” Units could also be classified as “homogenous,” “pauciteam,” or “heterogeneous” based on team-level antibiotic utilization or DOT for specific antibiotics. Different patterns emerged based on antibiotic restriction status. Classifying units based on vancomycin DOT (unrestricted) exhibited fewer “heterogeneous” units, whereas using meropenem DOT (restricted) revealed no “heterogeneous” units. Furthermore, the average number of units where individual clinical teams prescribed an antibiotic varied widely (range, 1.4–12.3 units per team). Conclusions: Unit-based antibiotic utilization data may encounter limitations in affecting prescriber behavior, particularly on units where a large number of clinical teams contribute to antibiotic utilization. Additionally, some services prescribing antibiotics across many hospital units may be minimally influenced by unit-level data. Team-based antibiotic utilization may allow for a more targeted metric to drive individual team prescribing.Funding: NoneDisclosures: None

scholarly journals Impact of Critical Care Consultation Requests for Avoidable Central Venous Catheters on Medical-Surgical Units

2020 ◽  
Vol 41 (S1) ◽  
pp. s258-s258
Author(s):  
Madhuri Tirumandas ◽  
Theresa Madaline ◽  
Gregory David Weston ◽  
Ruchika Jain ◽  
Jamie Figueredo
Keyword(s):  
Critical Care ◽  
High Risk ◽  
Medical Center ◽  
Academic Medical Center ◽  
Retrospective Chart Review ◽  
Bloodstream Infections ◽  
Central Line ◽  
Central Venous Catheters ◽  
High Risk Population ◽  
Central Venous

Background: Although central-line–associated bloodstream infections (CLABSI) in US hospitals have improved in the last decade, ~30,100 CLABSIs occur annually.1,2 Central venous catheters (CVC) carry a high risk of infections and should be limited to appropriate clinical indications.6,7 Montefiore Medical Center, a large, urban, academic medical center in the Bronx, serves a high-risk population with multiple comobidities.8–11 Despite this, the critical care medicine (CCM) team is often consulted to place a CVC when a peripheral intravenous line (PIV) cannot be obtained by nurses or primary providers. We evaluated the volume of CCM consultation requests for avoidable CVCs and related CLABSIs. Methods: Retrospective chart review was performed for patients with CCM consultation requests for CVC placement between July and October 2019. The indication for CVC, type of catheter inserted or recommended, and NHSN data were used to identify CLABSIs. CVCs were considered avoidable if a PIV was used for the stated indication and duration of therapy, with no anatomical contraindications to PIV in nonemergencies, according to the Michigan Appropriateness Guide for Intravenous Catheters (MAGIC).6Results: Of 229 total CCM consults, 4 (18%) requests were for CVC placement; 21 consultations (9%) were requested for avoidable CVCs. Of 40 CVC requests, 18 (45%) resulted in CVC placement by the CCM team, 4 (10%) were deferred for nonurgent PICC by interventional radiology, and 18 (45%) were deferred in favor of PIV or no IV. Indications for CVC insertion included emergent chemotherapy (n = 8, 44%) and dialysis (n = 3, 16%), vasopressors (n = 3, 16%), antibiotics (n = 2, 11%) and blood transfusion (n = 2, 11%). Of 18 CVCs, 9 (50%) were potentially avoidable: 2 short-term antibiotics and rest for nonemergent indications; 2 blood transfusions, 1 dialysis, 2 chemotherapy and 2 vasopressors. Between July and October 2019, 6 CLABSIs occurred in CVCs placed by the CCM team; in 3 of 6 CLABSI events (50%), the CVC was avoidable. Conclusions: More than half of consultation requests to the CCM team for CVCs are avoidable, and they disproportionately contribute to CLABSI events. Alternatives for intravenous access could potentially avoid 9% of CCM consultations and 50% of CLABSIs in CCM-inserted CVCs on medical-surgical wards.Funding: NoneDisclosures: None

Compassion Fatigue and the Healthy Work Environment

2017 ◽  
Vol 28 (4) ◽  
pp. 351-358 ◽  
Author(s):  
Lesly Kelly ◽  
Michael Todd
Keyword(s):  
Critical Care ◽  
Work Environment ◽  
Compassion Fatigue ◽  
American Association ◽  
Medical Center ◽  
Academic Medical Center ◽  
Compassion Satisfaction ◽  
Critical Care Nurses ◽  
Healthy Work Environment ◽  
Healthy Work

Background:Burnout is a concern for critical care nurses in high-intensity environments. Studies have highlighted the importance of a healthy work environment in promoting optimal nurse and patient outcomes, but research examining the relationship between a healthy work environment and burnout is limited.Objective:To examine how healthy work environment components relate to compassion fatigue (eg, burnout, secondary trauma) and compassion satisfaction.Methods:Nurses (n = 105) in 3 intensive care units at an academic medical center completed a survey including the Professional Quality of Life and the American Association of Critical-Care Nurses’ Healthy Work Environment standards.Results:Regression models using each Healthy Work Environment component to predict each outcome, adjusting for background variables, showed that the 5 Healthy Work Environment components predicted burnout and that meaningful recognition and authentic leadership predicted compassion satisfaction.Conclusions:Findings on associations between healthy work environment standards and burnout suggest the potential importance of implementing the American Association of Critical-Care Nurses’ Healthy Work Environment standards as a mechanism for decreasing burnout.

scholarly journals 154. Antibiotic Use During Three Separate Waves of the COVID-19 Pandemic at a Large Academic Medical Center in Detroit, MI

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S188-S189
Author(s):  
Deepika Sivakumar ◽  
Shelbye R Herbin ◽  
Raymond Yost ◽  
Marco R Scipione
Keyword(s):  
Retrospective Review ◽  
Bacterial Pneumonia ◽  
Medical Center ◽  
Academic Medical Center ◽  
Antibiotic Use ◽  
Percent Change ◽  
Academic Medical ◽  
Days Of Therapy ◽  
Time Periods ◽  
The Impact

Abstract Background Inpatient antibiotic use early on in the COVID-19 pandemic may have increased due to the inability to distinguish between bacterial and COVID-19 pneumonia. The purpose of this study was to determine the impact of COVID-19 on antimicrobial usage during three separate waves of the COVID-19 pandemic. Methods We conducted a retrospective review of patients admitted to Detroit Medical Center between 3/10/19 to 4/24/21. Median days of therapy per 1000 adjusted patient days (DOT/1000 pt days) was evaluated for all administered antibiotics included in our pneumonia guidelines during 4 separate time periods: pre-COVID (3/3/19-4/27/19); 1st wave (3/8/20-5/2/20); 2nd wave (12/6/21-1/30/21); and 3rd wave (3/7/21-4/24/21). Antibiotics included in our pneumonia guidelines include: amoxicillin, azithromycin, aztreonam, ceftriaxone, cefepime, ciprofloxacin, doxycycline, linezolid, meropenem, moxifloxacin, piperacillin-tazobactam, tobramycin, and vancomycin. The percent change in antibiotic use between the separate time periods was also evaluated. Results An increase in antibiotics was seen during the 1st wave compared to the pre-COVID period (2639 [IQR 2339-3439] DOT/1000 pt days vs. 2432 [IQR 2291-2499] DOT/1000 pt days, p=0.08). This corresponded to an increase of 8.5% during the 1st wave. This increase did not persist during the 2nd and 3rd waves of the pandemic, and the use decreased by 8% and 16%, respectively, compared to the pre-COVID period. There was an increased use of ceftriaxone (+6.5%, p=0.23), doxycycline (+46%, p=0.13), linezolid (+61%, p=0.014), cefepime (+50%, p=0.001), and meropenem (+29%, p=0.25) during the 1st wave compared to the pre-COVID period. Linezolid (+39%, p=0.013), cefepime (+47%, p=0.08) and tobramycin (+47%, p=0.05) use remained high during the 3rd wave compared to the pre-COVID period, but the use was lower when compared to the 1st and 2nd waves. Figure 1. Antibiotic Use 01/2019 to 04/2019 Conclusion Antibiotics used to treat bacterial pneumonia during the 1st wave of the pandemic increased and there was a shift to broader spectrum agents during that period. The increased use was not sustained during the 2nd and 3rd waves of the pandemic, possibly due to the increased awareness of the differences between patients who present with COVID-19 pneumonia and bacterial pneumonia. Disclosures All Authors: No reported disclosures

Prospective Observational Evaluation of Predatory Journals in Critical Care Pharmacy Practice: Defining Characteristics Associated With Receiving Unsolicited Invitations to Publish

2021 ◽  
pp. 089719002110360
Author(s):  
William J. Peppard ◽  
Sarah R. Peppard ◽  
Joel T. Feih ◽  
Andy K. Kim ◽  
Steve J. Obenberger ◽  
...  
Keyword(s):  
Critical Care ◽  
Graduate Training ◽  
Medical Center ◽  
Academic Medical Center ◽  
Pharmacy Practice ◽  
Open Access Publishing ◽  
Email Address ◽  
Post Graduate Training ◽  
Predatory Publishers ◽  
Predatory Journal

Open-access publishing promotes accessibility to scholarly research at no cost to the reader. The emergence of predatory publishers, which exploit the author-pay model by charging substantial publication fees for publication in journals with questionable publishing processes, is on the rise. Authors are solicited through aggressive marketing tactics, though who is targeted is not well described. The purpose of this study was to identify characteristics associated with critical care pharmacists that make them targets of unsolicited invitations to publish. A prospective, observational study of critical care pharmacists was performed. Participants archived emails received by their professional email that were unsolicited invitations to submit their original work for publication in a journal (unsolicited journals). Variables were evaluated to determine which were associated with unsolicited invitations; these were compared to legitimate journals, defined as all PubMed-indexed journals in which the participants were previously published. Twenty-three pharmacist participants were included, all of whom were residency and/or fellowship trained and practicing in an academic medical center. Participants had a median of 7 years of experience since their post-graduate training, 6 years since their last change in professional email address, and 2 years since their first PubMed-indexed publication. From these participants, 136 unsolicited and 59 legitimate journals were included. The average number of invitations increased 1.04 (95% CI, 1.02–1.05) times for every additional PubMed-indexed publication ( P < .001). Most unsolicited journals were considered predatory. Legitimate and unsolicited journals differed significantly. The number of previous PubMed-indexed publications strongly correlates with the likelihood of critical care pharmacists receiving unsolicited publication invitations, often from predatory journal.

scholarly journals Neighborhood Poverty Rate and Mortality in Patients Receiving Critical Care in the Academic Medical Center Setting

CHEST Journal ◽  
2011 ◽  
Vol 139 (6) ◽  
pp. 1368-1379 ◽  
Author(s):  
Sam Zager ◽  
Mallika L. Mendu ◽  
Domingo Chang ◽  
Heidi S. Bazick ◽  
Andrea B. Braun ◽  
...  
Keyword(s):  
Critical Care ◽  
Medical Center ◽  
Academic Medical Center ◽  
Poverty Rate ◽  
Neighborhood Poverty ◽  
Academic Medical

scholarly journals 1116. Impact of Antimicrobial Stewardship Incentive Goals for Pharmacists on Overall Antibiotic Use and Appropriate Duration of Therapy in Urinary Tract Infections

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S397-S397
Author(s):  
Matthew A Miller ◽  
Mattie Huffman ◽  
Nichole Neville ◽  
Misha Huang ◽  
Gerard Barber
Keyword(s):  
Urinary Tract ◽  
Antimicrobial Stewardship ◽  
Group Performance ◽  
Respiratory Infections ◽  
Medical Center ◽  
Academic Medical Center ◽  
Antibiotic Use ◽  
Days Of Therapy ◽  
Essential Resource ◽  
Tract Infections

Abstract Background Urinary tract (UTI), skin and soft tissue, and respiratory infections are among the most frequently reported indications for antibiotics, such that focusing stewardship efforts here would expectedly have dramatic effects. Antimicrobial stewardship (AMS) programs vary in structure and available resources. At the University of Colorado Hospital, a 740-bed academic medical center, dedicated resources for AMS are limited to a pharmacist, pharmacy resident, and physician; however, there is a large clinical pharmacist group. For the past 2 years, pharmacy management incorporated AMS targets as group goals tied to performance bonuses. Methods This is a descriptive report utilizing incentives to achieve AMS goals. The first goal (July 1, 2016 to June 30, 2017) set out to reduce inpatient antibiotic use by 10%. The second goal (July 1, 2018 to June 30, 2018) was a 10% reduction in median antibiotic duration for UTIs. The AMS team provided guidelines, education, and oversight throughout target periods. Antibiotic use was calculated as days of therapy (DOT) per 1000 patient-days. Data related to UTI treatment was collected retrospectively on a quarterly basis. This was compared with baseline data previously collected during a statewide hospital stewardship collaborative project. Results During the first period, overall antibiotic use declined from 497 to 403 DOT per 1000 patient-days (18.9%), and broad-spectrum antibiotic use declined 22%. During the second period, 30 patient charts were reviewed quarterly, and the median UTI duration declined from 10 to 7 days (P = 0.002). The most common UTI diagnoses were similar between periods with complicated cystitis and pyelonephritis comprising 60–70% of cases. The 30-day readmission rate was not different between the baseline and goal period, 11% vs. 6% respectively (P = 0.18). Conclusion The use of group pharmacist goals tied to annual performance bonuses was effective in achieving AMS goals at our institution. In larger facilities with fewer dedicated AMS personnel, clinical pharmacists covering ward and intensive care units are an essential resource to achieving AMS goals. Group performance incentives may be a feasible strategy to generate interest and motivation to achieve AMS program goals. Disclosures All authors: No reported disclosures.

scholarly journals The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital

2017 ◽  
Vol 08 (02) ◽  
pp. 491-501 ◽  
Author(s):  
Judith Dexheimer ◽  
Eric Kirkendall ◽  
Michal Kouril ◽  
Philip Hagedorn ◽  
Thomas Minich ◽  
...  
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Clinical Decision ◽  
The United States ◽  
Primary Outcome Measure ◽  
Time Of Day ◽  
Pediatric Hospital ◽  
Institutional Review ◽  
Electronic Alerts ◽  
Ideal Number

Summary Objective: More than 70% of hospitals in the United States have electronic health records (EHRs). Clinical decision support (CDS) presents clinicians with electronic alerts during the course of patient care; however, alert fatigue can influence a provider’s response to any EHR alert. The primary goal was to evaluate the effects of alert burden on user response to the alerts. Methods: We performed a retrospective study of medication alerts over a 24-month period (1/2013–12/2014) in a large pediatric academic medical center. The institutional review board approved this study. The primary outcome measure was alert salience, a measure of whether or not the prescriber took any corrective action on the order that generated an alert. We estimated the ideal number of alerts to maximize salience. Salience rates were examined for providers at each training level, by day of week, and time of day through logistic regressions. Results: While salience never exceeded 38%, 49 alerts/day were associated with maximal salience in our dataset. The time of day an order was placed was associated with alert salience (maximal salience 2am). The day of the week was also associated with alert salience (maximal salience on Wednesday). Provider role did not have an impact on salience. Conclusion: Alert burden plays a role in influencing provider response to medication alerts. An increased number of alerts a provider saw during a one-day period did not directly lead to decreased response to alerts. Given the multiple factors influencing the response to alerts, efforts focused solely on burden are not likely to be effective. Citation: Dexheimer JW, Kirkendall ES, Kouril M, Hagedorn PA, Minich T, Duan LL, Mahdi M, Szczesniak R, Spooner SA. The effects of medication alerts on prescriber response in a pediatric hospital. Appl Clin Inform 2017; 8: 491–501 https://doi.org/10.4338/ACI-2016-10-RA-0168

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