Sustained Reduction of Ventilator-Associated Pneumonia Rates Using Real-Time Course Correction With a Ventilator Bundle Compliance Dashboard

2015 ◽  
Vol 36 (11) ◽  
pp. 1261-1267 ◽  
Author(s):  
Thomas R. Talbot ◽  
Devin Carr ◽  
C. Lee Parmley ◽  
Barbara J. Martin ◽  
Barbara Gray ◽  
...  
Keyword(s):  
Real Time ◽  
Program Implementation ◽  
Time Course ◽  
Medical Center ◽  
Pearson Correlation ◽  
Academic Medical Center ◽  
Ventilator Associated Pneumonia ◽  
Interrupted Time Series Analysis ◽  
Adherence Assessment ◽  
Bundle Compliance

BACKGROUNDThe effectiveness of practice bundles on reducing ventilator-associated pneumonia (VAP) has been questioned.OBJECTIVETo implement a comprehensive program that included a real-time bundle compliance dashboard to improve compliance and reduce ventilator-associated complications.DESIGNBefore-and-after quasi-experimental study with interrupted time-series analysis.SETTINGAcademic medical center.METHODSIn 2007 a comprehensive institutional ventilator bundle program was developed. To assess bundle compliance and stimulate instant course correction of noncompliant parameters, a real-time computerized dashboard was developed. Program impact in 6 adult intensive care units (ICUs) was assessed. Bundle compliance was noted as an overall cumulative bundle adherence assessment, reflecting the percentage of time all elements were concurrently in compliance for all patients.RESULTSThe VAP rate in all ICUs combined decreased from 19.5 to 9.2 VAPs per 1,000 ventilator-days following program implementation (P<.001). Bundle compliance significantly increased (Z100 score of 23% in August 2007 to 83% in June 2011 [P<.001]). The implementation resulted in a significant monthly decrease in the overall ICU VAP rate of 3.28/1,000 ventilator-days (95% CI, 2.64–3.92/1,000 ventilator-days). Following the intervention, the VAP rate decreased significantly at a rate of 0.20/1,000 ventilator-days per month (95% CI, 0.14–0.30/1,000 ventilator-days per month). Among all adult ICUs combined, improved bundle compliance was moderately correlated with monthly VAP rate reductions (Pearson correlation coefficient, −0.32).CONCLUSIONA prevention program using a real-time bundle adherence dashboard was associated with significant sustained decreases in VAP rates and an increase in bundle compliance among adult ICU patients.Infect. Control Hosp. Epidemiol. 2015;36(11):1261–1267

scholarly journals Does Nursing Shift Influence Adherence to Central-Line Maintenance Bundles?

2020 ◽  
Vol 41 (S1) ◽  
pp. s195-s195
Author(s):  
Josephine Fox ◽  
Robert Russell ◽  
Lydia Grimes ◽  
Heather Gasama ◽  
Carrie Sona ◽  
...  
Keyword(s):  
Multinomial Logistic Regression ◽  
Medical Center ◽  
Academic Medical Center ◽  
Night Shift ◽  
Insertion Site ◽  
Central Line ◽  
Central Lines ◽  
Bundle Compliance ◽  
Evening Shift ◽  
Infusion Tubing

Background: Proper care and maintenance of central lines is essential to prevent central-line–associated bloodstream infections (CLABSI). Our facility implemented a hospital-wide central-line maintenance bundle based on CLABSI prevention guidelines. The objective of this study was to determine whether maintenance bundle adherence was influenced by nursing shift or the day of week. Methods: A central-line maintenance bundle was implemented in April 2018 at a 1,266-bed academic medical center. The maintenance bundle components included alcohol-impregnated disinfection caps on all ports and infusion tubing, infusion tubing dated, dressings, not damp or soiled, no oozing at insertion site greater than the size of a quarter, dressings occlusive with all edges intact, transparent dressing change recorded within 7 days, and no gauze dressings in place for >48 hours. To monitor bundle compliance, 4 non–unit-based nurse observers were trained to audit central lines. Observations were collected between August 2018 and October 2019. Observations were performed during all shifts and 7 days per week. Just-in-time feedback was provided for noncompliant central lines. Nursing shifts were defined as day (7:00 a.m. to 3:00 p.m.), evening (3:00 p.m. to 11:00 p.m.), and night (11:00 p.m. to 7:00 a.m.). Central-line bundle compliance between shifts were compared using multinomial logistic regression. Bundle compliance between week day and weekend were compared using Mantel-Haenszel 2 analysis. Results: Of the 25,902 observations collected, 11,135 (42.9%) were day-shift observations, 11,559 (44.6%) occurred on evening shift, and 3,208 (12.4%) occurred on the night shift. Overall, 22,114 (85.9%) observations occurred on a week day versus 3,788 (14.6%) on a Saturday or Sunday (median observations per day of the week, 2,570; range, 1,680–6,800). In total, 4,599 CLs (17.8%) were noncompliant with >1 bundle component. The most common reasons for noncompliance were dressing not dated (n = 1,577; 44.0%) and dressings not occlusive with all edges intact (n = 1340; 37.4%). The noncompliant rates for central-line observations by shift were 12.8% (1,430 of 1,1,135) on day shift, 20.4% (2,361 of 11,559) on evening shift, and 25.2% (808 of 3,208) on night shift. Compared to day shift, evening shift (OR, 1.74; 95% CI, 1.62–1.87; P < .001) and night shift (OR, 2.29; 95% CI, 2.07–2.52; P < .001) were more likely to have a noncompliant central lines. Compared to a weekday, observations on weekend days were more likely to find a noncompliant central line: 914 of 3,788 (24.4%) weekend days versus 3,685 of 22,114 (16.7%) week days (P < .001). Conclusions: Noncompliance with central-line maintenance bundle was more likely on evening and night shifts and during the weekends.Funding: NoneDisclosures: None

Fluoroscopy time is not accurate as a surrogate for radiation exposure

Vascular ◽  
2017 ◽  
Vol 25 (5) ◽  
pp. 466-471 ◽  
Author(s):  
Edvard Skripochnik ◽  
Shang A Loh
Keyword(s):  
Radiation Exposure ◽  
Medical Center ◽  
Pearson Correlation ◽  
Academic Medical Center ◽  
Surrogate Marker ◽  
Correlation Coefficients ◽  
Frame Rate ◽  
Fluoroscopy Time ◽  
Poor Correlation ◽  
Dose Area Product

Objective The Food and Drug Administration and the Vascular Quality Initiative still utilize fluoroscopy time as a surrogate marker for procedural radiation exposure. This study demonstrates that fluoroscopy time does not accurately represent radiation exposure and that dose area product and air kerma are more appropriate measures. Methods Lower extremity endovascular interventions ( N = 145) between 2013 and 2015 performed at an academic medical center on a Siemens Artis-Zee floor mounted c-arm were identified. Data was collected from the summary sheet after every case. Scatter plots with Pearson correlation coefficients were created. A strong correlation was indicated by an r value approaching 1. Results Overall mean AK and DAP was 380.27 mGy and 4919.2 µGym2. There was a poor correlation between fluoroscopy time and total AK or DAP ( r = 0.27 and 0.32). Total DAP was strongly correlated to cine DAP and fluoroscopy DAP ( r = 0.92 vs. 0.84). The number of DSA runs and average frame rate did not affect AK or DAP levels. Mean magnification level was significantly correlated with total AK ( r = 0.53). Conclusions Fluoroscopy time shows minimal correlation with radiation delivered and therefore is a poor surrogate for radiation exposure during fluoroscopy procedures. DAP and AK are more suitable markers to accurately gauge radiation exposure.

Antibiotic Resistance in Pseudomonas aeruginosa Related to Quinolone Formulary Changes: An Interrupted Time Series Analysis

2011 ◽  
Vol 32 (4) ◽  
pp. 400-402 ◽  
Author(s):  
E. Chandler Church ◽  
Patrick D. Mauldin ◽  
John A. Bosso
Keyword(s):  
Pseudomonas Aeruginosa ◽  
South Carolina ◽  
Medical Center ◽  
Academic Medical Center ◽  
Interrupted Time Series ◽  
Multidrug Resistant ◽  
Resistance Mechanisms ◽  
Interrupted Time Series Analysis ◽  
University Of South Carolina ◽  
Development Of Resistance

Pseudomonas aeruginosa is a nosocomial pathogen capable of exhibiting a variety of resistance mechanisms against multiple classes of antibiotics. Fluoroquinolones, commonly used to treat a variety of infections in both ambulatory and hospitalized patients, have been increasingly linked to the development of resistance, both to fluoroquinolones and to other classes of antibiotics including β-lactams, cephalosporins, and carbapenems. In turn, as many as 95% of multidrug-resistant pseudomonal isolates may be resistant to fluoroquinolones. Although research has examined the effect of fluoroquinolone use on P. aeruginosa resistance, to our knowledge, no work has been published describing possible differences among individual fluoroquinolones related to resistance to other antibiotic classes. The purpose of this analysis was to assess the possible effects of varying usage of levofloxacin, gatifloxacin, and moxifloxacin on P. aeruginosa susceptibility to piperacillin-tazobactam, cefepime, and tobramycin. Data from January 2000 through December 2008 were obtained from clinical microbiology and pharmacy databases of the Medical University of South Carolina Medical Center, which is a 689-bed academic medical center and level 1 trauma center with adult and pediatric beds. This study was approved by the institution's institutional review board.

The impact of formulary restriction on the relative consumption of carbapenems in intensive care units at an academic medical center

2019 ◽  
Vol 40 (9) ◽  
pp. 1056-1058
Author(s):  
Jacob W. Pierce ◽  
Andrew Kirk ◽  
Kimberly B. Lee ◽  
John D. Markley ◽  
Amy Pakyz ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Medical Center ◽  
Academic Medical Center ◽  
Interrupted Time Series ◽  
Interrupted Time Series Analysis ◽  
Surgical Intensive Care ◽  
Academic Medical ◽  
The Impact ◽  
Formulary Restriction

AbstractAntipseudomonal carbapenems are an important target for antimicrobial stewardship programs. We evaluated the impact of formulary restriction and preauthorization on relative carbapenem use for medical and surgical intensive care units at a large, urban academic medical center using interrupted time-series analysis.

Using Real-Time Locating Systems to Optimize Endoscope Use at a Large Academic Medical Center

2020 ◽  
Vol 44 (4) ◽  
Author(s):  
Jason C. Troutner ◽  
Matthew V. Harrell ◽  
Mark T. Seelen ◽  
Bethany J. Daily ◽  
Wilton C. Levine
Keyword(s):  
Real Time ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical

scholarly journals Impact of an Enhanced Prevention Bundle on Central-Line–Associated Bloodstream Infection Incidence in Adult Oncology Units

2020 ◽  
Vol 41 (S1) ◽  
pp. s256-s258
Author(s):  
Mary Kukla ◽  
Shannon Hunger ◽  
Tacia Bullard ◽  
Kristen Van Scoyoc ◽  
Mary Beth Hovda-Davis ◽  
...  
Keyword(s):  
Bloodstream Infection ◽  
Medical Center ◽  
Academic Medical Center ◽  
Central Line ◽  
Team Approach ◽  
Evidence Based ◽  
Interrupted Time Series Analysis ◽  
Increased Risk ◽  
Oncology Unit ◽  
The Impact

Background: Central-line–associated bloodstream infection (CLABSI) rates have steadily decreased as evidence-based prevention bundles were implemented. Bone marrow transplant (BMT) patients are at increased risk for CLABSI due to immunosuppression, prolonged central-line utilization, and frequent central-line accesses. We assessed the impact of an enhanced prevention bundle on BMT nonmucosal barrier injury CLABSI rates. Methods: The University of Iowa Hospitals & Clinics is an 811-bed academic medical center that houses the only BMT program in Iowa. During October 2018, we added 3 interventions to the ongoing CLABSI prevention bundle in our BMT inpatient unit: (1) a standardized 2-person dressing change team, (2) enhanced quality daily chlorhexidine treatments, and (3) staff and patient line-care stewardship. The bundle included training of nurse champions to execute a team approach to changing central-line dressings. Standard process description and supplies are contained in a cart. In addition, 2 sets of sterile hands and a second person to monitor for breaches in sterile procedure are available. Site disinfection with chlorhexidine scrub and dry time are monitored. Training on quality chlorhexidine bathing includes evaluation of preferred product, application per product instructions for use and protection of the central-line site with a waterproof shoulder length glove. In addition to routine BMT education, staff and patients are instructed on device stewardship during dressing changes. CLABSIs are monitored using NHSN definitions. We performed an interrupted time-series analysis to determine the impact of our enhanced prevention bundle on CLABSI rates in the BMT unit. We used monthly CLABSI rates since January 2017 until the intervention (October 2018) as baseline. Because the BMT changed locations in December 2018, we included both time points in our analysis. For a sensitivity analysis, we assessed the impact of the enhanced prevention bundle in a hematology-oncology unit (March 2019) that did not change locations. Results: During the period preceding bundle implementation, the CLABSI rate was 2.2 per 1,000 central-line days. After the intervention, the rate decreased to 0.6 CLABSI per 1,000 central-line days (P = .03). The move in unit location did not have a significant impact on CLABSI rates (P = .85). CLABSI rates also decreased from 1.6 per 1,000 central-line days to 0 per 1,000 central-line days (P < .01) in the hematology-oncology unit. Conclusions: An enhanced CLABSI prevention bundle was associated with significant decreases in CLABSI rates in 2 high-risk units. Novel infection prevention bundle elements should be considered for special populations when all other evidence-based recommendations have been implemented.Funding: NoneDisclosures: None

scholarly journals A real-time spatiotemporal AI model analyzes skill in open surgical videos

2021 ◽  
Author(s):  
Serena Yeung ◽  
Emmett Goodman ◽  
Krishna Patel ◽  
Yilun Zhang ◽  
William Locke ◽  
...  
Keyword(s):  
Real Time ◽  
Medical Center ◽  
Academic Medical Center ◽  
Building Blocks ◽  
Dominant Form ◽  
Hand Motion ◽  
Academic Medical ◽  
Data Limitations ◽  
Invasive Techniques ◽  
Surgical Videos

Abstract Open procedures represent the dominant form of surgery worldwide. Artificial intelligence (AI) has the potential to optimize surgical practice and improve patient outcomes, but efforts have focused primarily on minimally invasive techniques. Our work overcomes existing data limitations for training AI models by curating, from YouTube, the largest dataset of open surgical videos to date: 1997 videos from 23 surgical procedures uploaded from 50 countries. Using this dataset, we developed a multi-task AI model capable of real-time understanding of surgical behaviors, hands, and tools—the building blocks of procedural flow and surgeon skill—across both space and time. We show that our model generalizes across diverse surgery types and environments. Illustrating this generalizability, we directly applied our YouTube-trained model to analyze open surgeries prospectively collected at an academic medical center and identified kinematic descriptors of surgical skill related to efficiency of hand motion. Our Annotated Videos of Open Surgery (AVOS) dataset and trained model will be made available for further development of surgical AI.

scholarly journals A Comparison of Diagnostic Algorithms and Clinical Parameters to Diagnose Ventilator-Associated Pneumonia: A Prospective Observational Study

2020 ◽  
Author(s):  
Farshid Rahimibashar ◽  
Andrew Carl Miller ◽  
Mojtaba H. Yaghoobi ◽  
Amir Vahedian-Azimi
Keyword(s):  
Observational Study ◽  
Prospective Observational Study ◽  
Medical Center ◽  
Academic Medical Center ◽  
False Negative ◽  
Youden Index ◽  
Ventilator Associated Pneumonia ◽  
Reference Standard ◽  
Male Predominance ◽  
Diagnostic Algorithms

Abstract BACKGROUND: Suspicion and clinical criteria continue to serve as the foundation for ventilator-associated pneumonia (VAP) diagnosis, however the criteria used to diagnose VAP vary widely. Data from head-to-head comparisons of clinical diagnostic algorithms is lacking, thus a prospective observational study was performed to determine the performance characteristics of the Johanson criteria, Clinical Pulmonary Infection Score (CPIS), and Centers for Disease Control and Prevention’s National Healthcare Safety Network (CDC/NHSN) criteria as compared to Hospital in Europe Link for Infection Control through Surveillance (HELICS) reference standard. METHODS: A prospective observational cohort study was performed in three mixed medical-surgical ICUs from one academic medical center from 1 October 2016 to 30 April 2018. VAP diagnostic criteria were applied to each patient including CDC/NHSN, CPIS, HELICS and Johanson criteria. Tracheal cultures and serum procalcitonin values were obtained for each patient. RESULTS: Eighty-five patients were enrolled (VAP 45, controls 41), mean age 46.94±18.9 years with a male predominance (72.94%). Using HELICS as the reference standard, the true positive (TP; sensitivity) and false negative (FN; miss rate) rates were CDC/NHSN (TP 44%; FN 0%), CPIS (TP 43%; FN 1%), Johnson (TP 43%; FN 1%). The highest true negative rate was seen with CPIS. CPIS had the highest Youden index; CDC/NHSN had the lowest. The positive tracheal culture rate was 81.2%. The sensitivity for positive tracheal culture with the serum procalcitonin level >0.5 ng/ml was 51.8%. CDC/NHSN had the highest false positive correlation with tracheal aspirate cultures. CONCLUSION: VAP remains a considerable source of morbidity and mortality in modern ICUs. The optimal diagnostic method remains unclear. Using HELICS criteria as the reference standard, CPIS displayed greater diagnostic accuracy compared to CDC/NHSN and Johanson criteria. Accuracy was improved with the addition of serum procalcitonin >0.5 ng/ml, but not positive quantitative endotracheal aspirate culture.TRIAL REGISTRATION: Not indicated for this study type.

scholarly journals A comparison of diagnostic algorithms and clinical parameters to diagnose ventilator-associated pneumonia: a prospective observational study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Farshid Rahimibashar ◽  
Andrew C. Miller ◽  
Mojtaba H. Yaghoobi ◽  
Amir Vahedian-Azimi
Keyword(s):  
Observational Study ◽  
Prospective Observational Study ◽  
Medical Center ◽  
Academic Medical Center ◽  
Tracheal Aspirate ◽  
Ventilator Associated Pneumonia ◽  
Reference Standard ◽  
Clinical Criteria ◽  
Diagnostic Algorithms ◽  
Study Type

Abstract Background Suspicion and clinical criteria continue to serve as the foundation for ventilator-associated pneumonia (VAP) diagnosis, however the criteria used to diagnose VAP vary widely. Data from head-to-head comparisons of clinical diagnostic algorithms is lacking, thus a prospective observational study was performed to determine the performance characteristics of the Johanson criteria, Clinical Pulmonary Infection Score (CPIS), and Centers for Disease Control and Prevention’s National Healthcare Safety Network (CDC/NHSN) criteria as compared to Hospital in Europe Link for Infection Control through Surveillance (HELICS) reference standard. Methods A prospective observational cohort study was performed in three mixed medical-surgical ICUs from one academic medical center from 1 October 2016 to 30 April 2018. VAP diagnostic criteria were applied to each patient including CDC/NHSN, CPIS, HELICS and Johanson criteria. Tracheal aspirate cultures (TAC) and serum procalcitonin values were obtained for each patient. Results Eighty-five patients were enrolled (VAP 45, controls 40). Using HELICS as the reference standard, the sensitivity and specificity for each of the assessed diagnostic algorithms were: CDC/NHSN (Sensitivity 54.2%; Specificity 100%), CPIS (Sensitivity 68.75%; Specificity 95.23%), Johanson (Sensitivity 67.69%; Specificity 95%). The positive TAC rate was 81.2%. The sensitivity for positive TAC with the serum procalcitonin level > 0.5 ng/ml was 51.8%. Conclusion VAP remains a considerable source of morbidity and mortality in modern intensive care units. The optimal diagnostic method remains unclear. Using HELICS criteria as the reference standard, CPIS had the greatest comparative diagnostic accuracy, whereas the sensitivity of the CDC/NHSN was only marginally better than a positive TAC plus serum procalcitonin > 0.5 ng/ml. Algorithm accuracy was improved by adding serum procalcitonin > 0.5 ng/ml, but not positive quantitative TAC. Trial Registration: Not indicated for this study type.

Chasing the rate: An interrupted time series analysis of interventions targeting reported hospital onset Clostridioides difficile, 2013–2018

2020 ◽  
Vol 41 (10) ◽  
pp. 1142-1147
Author(s):  
Michelle E. Doll ◽  
Jinlei Zhao ◽  
Le Kang ◽  
Barry Rittmann ◽  
Michael Alvarez ◽  
...  
Keyword(s):  
Time Series ◽  
Decision Support ◽  
Infection Control ◽  
Medical Center ◽  
Academic Medical Center ◽  
Interrupted Time Series ◽  
Interrupted Time Series Analysis ◽  
Test Volume ◽  
Clostridioides Difficile ◽  
The Impact

AbstractObjective:To assess the impact of major interventions targeting infection control and diagnostic stewardship in efforts to decrease Clostridioides difficile hospital onset rates over a 6-year period.Design:Interrupted time series.Setting:The study was conducted in an 865-bed academic medical center.Methods:Monthly hospital-onset C. difficile infection (HO-CDI) rates from January 2013 through January 2019 were analyzed around 5 major interventions: (1) a 2-step cleaning process in which an initial quaternary ammonium product was followed with 10% bleach for daily and terminal cleaning of rooms of patients who have tested positive for C. difficile (February 2014), (2) UV-C device for all terminal cleaning of rooms of C. difficile patients (August 2015), (3) “contact plus” isolation precautions (June 2016), (4) sporicidal peroxyacetic acid and hydrogen peroxide cleaning in all patient areas (June 2017), (5) electronic medical record (EMR) decision support tool to facilitate appropriate C. difficile test ordering (March 2018).Results:Environmental cleaning interventions and enhanced “contact plus” isolation did not impact HO-CDI rates. Diagnostic stewardship via EMR decision support decreased the HO-CDI rate by 6.7 per 10,000 patient days (P = .0079). When adjusting rates for test volume, the EMR decision support significance was reduced to a difference of 5.1 case reductions per 10,000 patient days (P = .0470).Conclusion:Multiple aggressively implemented infection control interventions targeting CDI demonstrated a disappointing impact on endemic CDI rates over 6 years. This study adds to existing data that outside of an outbreak situation, traditional infection control guidance for CDI prevention has little impact on endemic rates.

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