2249. Impact of Minimum Inhibitory Concentration on Clinical Outcomes of Daptomycin for VRE Bloodstream Infection Among Neutropenic Oncology Patients

Abstract Background Vancomycin-resistant Enterococcus (VRE) bloodstream infection (BSI) is a significant cause of morbidity and mortality in immunocompromised patients. This study aimed to assess the impact of daptomycin (DAP) MIC on outcomes of treatment for VRE BSI in neutropenic oncology patients. Methods This was a retrospective, observational, single-center, cohort study at an academic medical center. Included: age ≥ 18, neutropenia, admitted to oncology unit, and DAP for VRE BSI. Excluded: death within 24 hours after initiation of DAP, polymicrobial BSI, and linezolid use for > 48 hours before DAP initiation. Patients with VRE BSI 2008–2018 were identified using a report from the micro lab. Data were collected by electronic medical record review. The primary outcome of the study was clinical success, defined as culture sterilization, hypotension resolution, defervescence, and no need to change DAP due to persistent signs/symptoms of infection. Patients were analyzed according to DAP MIC ≤ 2 vs. ≥ 4 mg/L. Multivariable logistic regression analysis was performed to identify factors associated with clinical success. Results 44 patients met study criteria (MIC ≤ 2, n = 26; MIC ≥ 4, n = 18). Mean age was 58 years, 59% were male, and median ANC was 0. Median Charlson Comorbidity Index Score and Pitt Bacteremia Score (Pitt) were 5 and 1, respectively. 34% required ICU admission. More patients achieved clinical success with MIC ≤ 2 (88% vs. 56%; P = 0.03). Time to success (2.4 vs. 4 days, P = 0.02) and time to culture sterilization (2.2 vs. 2.9 days, P = 0.24) were shorter with MIC ≤ 2. Mortality was similar between groups (31% vs. 33%). Time to culture sterilization (P = 0.008), neutropenia resolution (P = 0.02), MIC group (P = 0.096), and Pitt (P = 0.52) were included in the multivariable model. Conclusion DAP MIC should be considered when choosing therapy for VRE BSI among neutropenic oncology patients, particularly those expected to have prolonged neutropenia and those with persistently positive cultures. Disclosures All authors: No reported disclosures.

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

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.821 ◽

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

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Variability of Antibiotic Prescribing in a Large Healthcare Network Despite Adjusting for Patient-Mix: Reconsidering Targets for Improved Prescribing

Open Forum Infectious Diseases ◽

10.1093/ofid/ofz018 ◽

2019 ◽

Vol 6 (2) ◽

Cited By ~ 8

Author(s):

Sophia Jung ◽

Mary Elizabeth Sexton ◽

Sallie Owens ◽

Nathan Spell ◽

Scott Fridkin

Keyword(s):

Antibiotic Prescription ◽

Medical Center ◽

Academic Medical Center ◽

Primary Care Clinic ◽

Multivariable Logistic Regression Analysis ◽

Comorbid Condition ◽

Antibiotic Prescribing ◽

Cross Sectional ◽

Care Clinic ◽

The Impact

Abstract Background In the outpatient setting, the majority of antibiotic prescriptions are for acute respiratory infections (ARIs), but most of these infections are viral and antibiotics are unnecessary. We analyzed provider-specific antibiotic prescribing in a group of outpatient clinics affiliated with an academic medical center to inform future interventions to minimize unnecessary antibiotic use. Methods We conducted a cross-sectional study of patients who presented with an ARI to any of 15 The Emory Clinic (TEC) primary care clinic sites between October 2015 and September 2017. We performed multivariable logistic regression analysis to examine the impact of patient, provider, and clinic characteristics on antibiotic prescribing. We also compared provider-specific prescribing rates within and between clinic sites. Results A total of 53.4% of the 9600 patient encounters with a diagnosis of ARI resulted in an antibiotic prescription. The odds of an encounter resulting in an antibiotic prescription were independently associated with patient characteristics of white race (adjusted odds ratio [aOR] = 1.59; 95% confidence interval [CI], 1.47–1.73), older age (aOR = 1.32, 95% CI = 1.20–1.46 for patients 51 to 64 years; aOR = 1.32, 95% CI = 1.20–1.46 for patients ≥65 years), and comorbid condition presence (aOR = 1.19; 95% CI, 1.09–1.30). Of the 109 providers, 13 (12%) had a rate significantly higher than predicted by modeling. Conclusions Antibiotic prescribing for ARIs within TEC outpatient settings is higher than expected based on prescribing guidelines, with substantial variation in prescribing rates by site and provider. These data lay the foundation for quality improvement interventions to reduce unnecessary antibiotic prescribing.

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The Impact of 2015 NHSN Catheter-associated Urinary Tract Infection (CAUTI) Definition Change on Central Line-associated Bloodstream Infection (CLABSI) Rates and CLABSI Prevention Efforts at an Academic Medical Center

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2018.78 ◽

2018 ◽

Vol 39 (07) ◽

pp. 878-880 ◽

Cited By ~ 1

Author(s):

Sonali D. Advani ◽

Rachael A. Lee ◽

Martha Long ◽

Mariann Schmitz ◽

Bernard C. Camins

Keyword(s):

Urinary Tract Infection ◽

Urinary Tract ◽

Tract Infection ◽

Bloodstream Infection ◽

Medical Center ◽

Academic Medical Center ◽

Bloodstream Infections ◽

Central Line ◽

Academic Medical ◽

The Impact

The 2015 changes in the catheter-associated urinary tract infection definition led to an increase in central line-associated bloodstream infections (CLABSIs) and catheter-related candidemia in some health systems due to the change in CLABSI attribution. However, our rates remained unchanged in 2015 and further declined in 2016 with the implementation of new vascular-access guidelines.Infect Control Hosp Epidemiol 2018;878–880

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STOP-BSI: Reducing Methicillin-Resistant Staphylococcus aureus Bloodstream Infections in Oncology Patients

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.1029 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s391-s391

Author(s):

Mylinh Yun ◽

Jay Varkey ◽

Renee Spinke ◽

Marie Ayers ◽

Christina Bell ◽

...

Keyword(s):

Staphylococcus Aureus ◽

Povidone Iodine ◽

Medical Center ◽

Academic Medical Center ◽

Bloodstream Infections ◽

Nurse Specialist ◽

Oncology Patients ◽

Improvement Project ◽

Methicillin Resistant ◽

Oncology Unit

Background: Hospital-acquired methicillin-resistant Staphylococcus aureus bloodstream infections (MRSA BSIs) are associated with serious morbidity and mortality in immunocompromised patients. Of all MRSA BSIs at our academic medical center, 63% occurred in the oncology units. A multidisciplinary team was formed to address the improvement opportunity: the clinical nurse specialist, hospital epidemiologist, unit leaders, nurse champions and representatives from infection prevention, pharmacy and information technology. The goal was to decrease the incidence of hospital-onset MRSA BSI in the oncology wards by 10 infections in 2016 by implementing daily chlorohexidine (CHG) bathing and weekly nasal povidone-iodine antisepsis in July 2016. Methods: The strategically targeting oncology with povidone-iodine nasal antisepsis and bathing with CHG Staph reduction initiative (STOP-BSI) was a quality improvement project consisting of daily CHG baths for all oncology patients and nasal povidone-iodine on admission and weekly thereafter. Nurses and patient care technicians were trained on how to administer CHG treatments. Education was also provided to patients on how to use CHG bath wipes to self-administer the nasal antisepsis. Education resources were created to help answer concerns of the staff, patient, or family, and an escalation process was developed for treatment refusal. CHG bath audits were performed to measure compliance and to identify barriers to the process. Results: By the end of 2016, the number of infections decreased by 5 on the oncology units. The number of infections continued to decrease each year. The bone marrow transplant (BMT) unit decreased from 8 infections in 2015 to 3 in 2018. The hematology oncology unit infections decreased from 5 infections in 2015 to 0 in 2018. The medical oncology unit infections decreased from 2 infections in 2015 to 0 in 2018. The CLABSI rates per 1,000 line days trended downward after some time. Conclusions: Implementing daily CHG baths and weekly povidone-iodine nasal antisepsis reduced the number of MRSA BSI infections in the oncology population. The CLABSI rates decreased after barriers to the process were removed.Funding: NoneDisclosures: None

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Alcohol Hand Rub Significantly Reduces Overall Bacterial Bioburden on Stethoscopes in a Real-World Clinical Setting

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.620 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s114-s115

Author(s):

Alexandra Johnson ◽

Bobby Warren ◽

Deverick John Anderson ◽

Melissa Johnson ◽

Isabella Gamez ◽

...

Keyword(s):

Real World ◽

Medical Center ◽

Academic Medical Center ◽

Randomized Study ◽

Healthcare Providers ◽

Clinical Workflow ◽

Provider Type ◽

Academic Medical ◽

Rn Students ◽

The Impact

Background: Stethoscopes are a known vector for microbial transmission; however, common strategies used to clean stethoscopes pose certain barriers that prevent routine cleaning after every use. We aimed to determine whether using readily available alcohol-based hand rub (ABHR) would effectively reduce bacterial bioburden on stethoscopes in a real-world setting. Methods: We performed a randomized study on inpatient wards of an academic medical center to assess the impact of using ABHR (AlcareExtra; ethyl alcohol, 80%) on the bacterial bioburden of stethoscopes. Stethoscopes were obtained from healthcare providers after routine use during an inpatient examination and were randomized to control (no intervention) or ABHR disinfection (2 pumps applied to tubing and bell or diaphragm by study personnel, then allowed to dry). Cultures of the tubing and bell or diaphragm were obtained with premoistened cellulose sponges. Sponges were combined with 1% Tween20-PBS and mixed in the Seward Stomacher. The homogenate was centrifuged and all but ~5 mL of the supernatant was discarded. Samples were plated on sheep’s blood agar and selective media for clinically important pathogens (CIPs) including S. aureus, Enterococcus spp, and gram-negative bacteria (GNB). CFU count was determined by counting the number of colonies on each plate and using dilution calculations to calculate the CFU of the original ~5 mL homogenate. Results: In total, 80 stethoscopes (40 disinfection, 40 control) were sampled from 46 physicians (MDs) and MD students (57.5%), 13 advanced practice providers (16.3%), and 21 nurses (RNs) and RN students (26.3%). The median CFU count was ~30-fold lower in the disinfection arm compared to control (106 [IQR, 50–381] vs 3,320 [986–4,834]; P < .0001). The effect was consistent across provider type, frequency of recent usual stethoscope cleaning, age, and status of pet ownership (Fig. 1). Overall, 26 of 80 (33%) of stethoscopes harbored CIP. The presence of CIP was lower but not significantly different for stethoscopes that underwent disinfection versus controls: S. aureus (25% vs 32.5%), Enterococcus (2.5% vs 10%), and GNB (2.5% vs 5%). Conclusions: Stethoscopes may serve as vectors for clean hands to become recontaminated immediately prior to performing patient care activities. Using ABHR to clean stethoscopes after every use is a practical and effective strategy to reduce overall bacterial contamination that can be easily incorporated into clinical workflow. Larger studies are needed to determine the efficacy of ABHR at removing CIP from stethoscopes as stethoscopes in both arms were frequently contaminated with CIP. Prior cleaning of stethoscopes on the study day did not seem to impact contamination rates, suggesting the impact of alcohol foam disinfection is short-lived and may need to be repeated frequently (ie, after each use).Funding: NoneDisclosures: NoneDisclosures: NoneFunding: None

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Communications and Screening for 2019 Novel Coronavirus at a Tertiary-Care Medical Center

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.578 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s84-s84

Author(s):

Lorinda Sheeler ◽

Mary Kukla ◽

Oluchi Abosi ◽

Holly Meacham ◽

Stephanie Holley ◽

...

Keyword(s):

Screening Tool ◽

Medical Center ◽

Academic Medical Center ◽

Tertiary Care ◽

The United States ◽

World Health ◽

Communication Campaign ◽

Electronic Screening ◽

Novel Coronavirus ◽

The Impact

Background: In December of 2019, the World Health Organization reported a novel coronavirus (severe acute respiratory coronavirus virus 2 [SARS-CoV-2)]) causing severe respiratory illness originating in Wuhan, China. Since then, an increasing number of cases and the confirmation of human-to-human transmission has led to the need to develop a communication campaign at our institution. We describe the impact of the communication campaign on the number of calls received and describe patterns of calls during the early stages of our response to this emerging infection. Methods: The University of Iowa Hospitals & Clinics is an 811-bed academic medical center with >200 outpatient clinics. In response to the coronavirus disease 2019 (COVID-19) outbreak, we launched a communications campaign on January 17, 2020. Initial communications included email updates to staff and a dedicated COVID-19 webpage with up-to-date information. Subsequently, we developed an electronic screening tool to guide a risk assessment during patient check in. The screening tool identifies travel to China in the past 14 days and the presence of symptoms defined as fever >37.7°C plus cough or difficulty breathing. The screening tool was activated on January 24, 2020. In addition, university staff contacted each student whose primary residence record included Hubei Province, China. Students were provided with medical contact information, signs and symptoms to monitor for, and a thermometer. Results: During the first 5 days of the campaign, 3 calls were related to COVID-19. The number of calls increased to 18 in the 5 days following the implementation of the electronic screening tool. Of the 21 calls received to date, 8 calls (38%) were generated due to the electronic travel screen, 4 calls (19%) were due to a positive coronavirus result in a multiplex respiratory panel, 4 calls (19%) were related to provider assessment only (without an electronic screening trigger), and 2 calls (10%) sought additional information following the viewing of the web-based communication campaign. Moreover, 3 calls (14%) were for people without travel history but with respiratory symptoms and contact with a person with recent travel to China. Among those reporting symptoms after travel to China, mean time since arrival to the United States was 2.7 days (range, 0–11 days). Conclusion: The COVID-19 outbreak is evolving, and providing up to date information is challenging. Implementing an electronic screening tool helped providers assess patients and direct questions to infection prevention professionals. Analyzing the types of calls received helped tailor messaging to frontline staff.Funding: NoneDisclosures: None

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

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.356 ◽

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

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The Impact of Delayed Symptomatic Treatment Implementation in the Intensive Care Unit

Healthcare ◽

10.3390/healthcare10010035 ◽

2021 ◽

Vol 10 (1) ◽

pp. 35

Author(s):

Lesley Meng ◽

Krzysztof Laudanski ◽

Mariana Restrepo ◽

Ann Huffenberger ◽

Christian Terwiesch

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Medical Center ◽

Academic Medical Center ◽

Symptomatic Treatment ◽

Medication Administration ◽

Average Delay ◽

Treatment Implementation ◽

Medication Delivery ◽

The Impact

We estimated the harm related to medication delivery delays across 12,474 medication administration instances in an intensive care unit using retrospective data in a large urban academic medical center between 2012 and 2015. We leveraged an instrumental variables (IV) approach that addresses unobserved confounds in this setting. We focused on nurse shift changes as disruptors of timely medication (vasodilators, antipyretics, and bronchodilators) delivery to estimate the impact of delay. The average delay around a nurse shift change was 60.8 min (p < 0.001) for antipyretics, 39.5 min (p < 0.001) for bronchodilators, and 57.1 min (p < 0.001) for vasodilators. This delay can increase the odds of developing a fever by 32.94%, tachypnea by 79.5%, and hypertension by 134%, respectively. Compared to estimates generated by a naïve regression approach, our IV estimates tend to be higher, suggesting the existence of a bias from providers prioritizing more critical patients.

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Abstract 16125: Impact of COVID-19 on Echocardiography Volume at a Large Academic Medical Center

Circulation ◽

10.1161/circ.142.suppl_3.16125 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Merilyn S Varghese ◽

Jordan B Strom ◽

Sarah Fostello ◽

Warren J Manning

Keyword(s):

Patient Outcomes ◽

Hospital Admissions ◽

Medical Center ◽

Academic Medical Center ◽

Academic Medical ◽

Hospital Systems ◽

The Impact ◽

At Home

Introduction: COVID-19 has significantly impacted hospital systems worldwide. The impact of statewide stay-at-home mandates on echocardiography volumes is unclear. Methods: We queried our institutional echocardiography database from 6/1/2018 to 6/13/2020 to examine rates of transthoracic (TTE), stress (SE), and transesophageal echocardiograms (TEE) prior to and following the COVID-19 Massachusetts stay-at-home order on March 15, 2020. Results: Among 36,377 total studies performed during the study period, mean weekly study volume dropped from 332 + 3 TTEs/week, 30 + 1 SEs/week, and 21 + 1 TEEs/week prior to the stay-at-home order (6/1/2018-3/15/2020) to 158 + 13 TTEs/week, 8 + 2 SEs/week, and 8 + 1 TEEs/week after (% change, -52%, -73%, and -62% respectively, all p < 0.001 when comparing volume prior to March 15 versus after). Weekly TTEs correlated strongly with hospital admissions throughout the study period (r = 0.93, 95% CI 0.89-0.95, p < 0.001) ( Figure ). Outpatient TTEs declined more than inpatient TTEs (% change, -74% vs. -39%, p <0.001). As of 3 weeks following the cessation of the stay-at-home order, TTE, SE, and TEE weekly volumes have increased to 73%, 66%, and 81% of pre-pandemic levels, respectively. Conclusions: Echocardiography volumes fell precipitously following the Massachusetts stay-at-home order, strongly paralleling declines in overall hospitalizations. Outpatient TTEs declined more than inpatient TTEs. Despite lifting of the order, echocardiography volumes remain substantially below pre-pandemic levels. The impact of the decreased use of echocardiographic services on patient outcomes remains to be determined.

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Hardwiring diagnostic stewardship using electronic ordering restrictions for gastrointestinal pathogen testing

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2019.78 ◽

2019 ◽

Vol 40 (6) ◽

pp. 668-673 ◽

Cited By ~ 2

Author(s):

Jasmine R. Marcelin ◽

Charlotte Brewer ◽

Micah Beachy ◽

Elizabeth Lyden ◽

Tammy Winterboer ◽

...

Keyword(s):

Best Practice ◽

Medical Center ◽

Academic Medical Center ◽

Cost Savings ◽

Poisson Model ◽

Panel Testing ◽

Period 2 ◽

Gastrointestinal Pathogen ◽

Pathogen Testing ◽

The Impact

AbstractObjective:To evaluate the impact of a hard stop in the electronic health record (EHR) on inappropriate gastrointestinal pathogen panel testing (GIPP).Design:We used a quasi-experimental study to evaluate testing before and after the implementation of an EHR alert to stop inappropriate GIPP ordering.Setting:Midwest academic medical center.Participants:Hospitalized patients with diarrhea for which GIPP testing was ordered, between January 2016 through March 2017 (period 1) and April 2017 through June 2018 (period 2).Intervention:A hard stop in the EHR prevented clinicians from ordering a GIPP more than once per admission or in patients hospitalized for >72 hours.Results:During period 1, 1,587 GIPP tests were ordered over 212,212 patient days, at a rate of 7.48 per 1,000 patient days. In period 2, 1,165 GIPP tests were ordered over 222,343 patient days, at a rate of 5.24 per 1,000 patient days. The Poisson model estimated a 30% reduction in total GIPP ordering rates between the 2 periods (relative risk, 0.70; 95% confidence interval [CI], 0.63–0.78; P < .001). The rate of inappropriate tests ordered decreased from 21.5% to 4.9% between the 2 periods (P < .001). The total savings calculated factoring only GIPP orders that triggered the hard stop was ∼$67,000, with potential savings of $168,000 when factoring silent best-practice alert data.Conclusions:A simple hard stop alert in the EHR resulted in significant reduction of inappropriate GIPP testing, which was associated with significant cost savings. Clinicians can practice diagnostic stewardship by avoiding ordering this test more than once per admission or in patients hospitalized >72 hours.

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