scholarly journals Implementation Strategies of a Quality Improvement Initiative for Hospital-Acquired Clostridioides difficile Infection Prevention

2020 ◽  
Vol 41 (S1) ◽  
pp. s279-s280
Author(s):  
Nicole Lamont ◽  
Lauren Bresee ◽  
Kathryn Bush ◽  
Blanda Chow ◽  
Bruce Dalton ◽  
...  

Background:Clostridioides difficile infection (CDI) is the most common cause of infectious diarrhea in hospitalized patients. Probiotics have been studied as a measure to prevent CDI. Timely probiotic administration to at-risk patients receiving systemic antimicrobials presents significant challenges. We sought to determine optimal implementation methods to administer probiotics to all adult inpatients aged 55 years receiving a course of systemic antimicrobials across an entire health region. Methods: Using a randomized stepped-wedge design across 4 acute-care hospitals (n = 2,490 beds), the probiotic Bio-K+ was prescribed daily to patients receiving systemic antimicrobials and was continued for 5 days after antimicrobial discontinuation. Focus groups and interviews were conducted to identify barriers, and the implementation strategy was adapted to address the key identified barriers. The implementation strategy included clinical decision support involving a linked flag on antibiotic ordering and a 1-click order entry within the electronic medical record (EMR), provider and patient education (written/videos/in-person), and local site champions. Protocol adherence was measured by tracking the number of patients on therapeutic antimicrobials that received BioK+ based on the bedside nursing EMR medication administration records. Adherence rates were sorted by hospital and unit in 48- and 72-hour intervals with recording of percentile distribution of time (days) to receipt of the first antimicrobial. Results: In total, 340 education sessions with >1,800 key stakeholders occurred before and during implementation across the 4 involved hospitals. The overall adherence of probiotic ordering for wards with antimicrobial orders was 78% and 80% at 48 and 72 hours, respectively over 72 patient months. Individual hospital adherence rates varied between 77% and 80% at 48 hours and between 79% and 83% at 72 hours. Of 246,144 scheduled probiotic orders, 94% were administered at the bedside within a median of 0.61 days (75th percentile, 0.88), 0.47 days (75th percentile, 0.86), 0.71 days (75th percentile, 0.92) and 0.67 days (75th percentile, 0.93), respectively, at the 4 sites after receipt of first antimicrobial. The key themes from the focus groups emphasized the usefulness of the linked flag alert for probiotics on antibiotic ordering, the ease of the EMR 1-click order entry, and the importance of the education sessions. Conclusions: Electronic clinical decision support, education, and local champion support achieved a high implementation rate consistent across all sites. Use of a 1-click order entry in the EMR was considered a key component of the success of the implementation and should be considered for any implementation strategy for a stewardship initiative. Achieving high prescribing adherence allows more precision in evaluating the effectiveness of the probiotic strategy.Funding: Partnerships for Research and Innovation in the Health System, Alberta Innovates/Health Solutions Funding: AwardDisclosures: None

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S M Jansen-Kosterink ◽  
M Cabrita ◽  
I Flierman

Abstract Background Clinical Decision Support Systems (CDSSs) are computerized systems using case-based reasoning to assist clinicians in making clinical decisions. Despite the proven added value to public health, the implementation of CDSS clinical practice is scarce. Particularly, little is known about the acceptance of CDSS among clinicians. Within the Back-UP project (Project Number: H2020-SC1-2017-CNECT-2-777090) a CDSS is developed with prognostic models to improve the management of Neck and/or Low Back Pain (NLBP). Therefore, the aim of this study is to present the factors involved in the acceptance of CDSSs among clinicians. Methods To assess the acceptance of CDSSs among clinicians we conducted a mixed method analysis of questionnaires and focus groups. An online questionnaire with a low-fidelity prototype of a CDSS (TRL3) was sent to Dutch clinicians aimed to identify the factors influencing the acceptance of CDSSs (intention to use, perceived threat to professional autonomy, trusting believes and perceived usefulness). Next to this, two focus groups were conducted with clinicians addressing the general attitudes towards CDSSs, the factors determining the level of acceptance, and the conditions to facilitate use of CDSSs. Results A pilot-study of the online questionnaire is completed and the results of the large evaluation are expected spring 2020. Eight clinicians participated in two focus groups. After being introduced to various types of CDSSs, participants were positive about the value of CDSS in the care of NLBP. The clinicians agreed that the human touch in NLBP care must be preserved and that CDSSs must remain a supporting tool, and not a replacement of their role as professionals. Conclusions By identifying the factors hindering the acceptance of CDSSs we can draw implications for implementation of CDSSs in the treatment of NLBP.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S663-S663
Author(s):  
Jason Moss ◽  
Derek W Forster ◽  
Vaneet Arora ◽  
David Burgess ◽  
Katie Wallace ◽  
...  

Abstract Background Testing for Clostridioides difficile infection has been the subject of recent debate. Guidelines from the Infectious Diseases Society of America now support the addition of a stool toxin test to a positive nucleic acid amplification test (NAAT) as part of a multi-step testing algorithm. In November 2017, the University of Kentucky HealthCare system added stool toxin testing to any specimen positive for C. difficile by NAAT. This change was accompanied by face to face education with provider groups and clinical decision support in the form of interpretive verbiage added to the results that are reported into the electronic record. The objective of this study was to assess whether this diagnostic stewardship intervention made an impact on C. difficile treatment Methods We performed a retrospective review of adult patients admitted to UK HealthCare from November 1, 2017 through October 31, 2018 who tested positive by NAAT but negative by stool toxin test to determine whether or not they were treated. We also assessed treatment by service line to see whether there were treatment differences among these groups. A cost analysis was also performed. Results A total of 300 adult inpatients were positive for C. difficile by NAAT during the study period with 71% (213 patients) having a negative stool toxin test. Of those, 58% (123) were never started on C. difficile therapy and an additional 14% (30) had their therapy stopped after 48 hours. Only 28% (60) of these patients received a full course of therapy. Hospital medicine had the highest rate of non-treatment at 82%. Conversely, our solid-organ and bone marrow transplant services had the lowest rate of non-treatment at 31%. Overall, this approach was associated with an estimated 1470 oral vancomycin days avoided (5,880 doses) and a cost savings of $6,278. Conclusion The addition of stool toxin testing to NAAT combined with education and clinical decision support lead to a dramatic reduction of treatment for NAAT positive but toxin-negative patients. This form of diagnostic stewardship had a significant impact on therapy decisions and can be a powerful antimicrobial stewardship approach to decrease unnecessary treatment of C. difficile colonization. Disclosures All authors: No reported disclosures.


PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207450 ◽  
Author(s):  
Sarah K. Pontefract ◽  
Jamie J. Coleman ◽  
Hannah K. Vallance ◽  
Christine A. Hirsch ◽  
Sonal Shah ◽  
...  

2014 ◽  
Vol 22 (e1) ◽  
pp. e21-e27 ◽  
Author(s):  
Atsushi Sorita ◽  
J Martijn Bos ◽  
Bruce W Morlan ◽  
Robert F Tarrell ◽  
Michael J Ackerman ◽  
...  

Abstract We developed and implemented a ‘CPOE-QT Alert’ system, that is, clinical decision support integrated in the computerized physician order entry system (CPOE), in 2011. The system identifies any attempts to order medications with risk of torsade de pointes (TdP) for patients with a history of significant QT prolongation (QTc ≥500 ms) and alerts the provider entering the order. We assessed its impact by comparing orders and subsequent medication administration before and after activation of the system. We found a significant decrease in the proportion of completed order per ordering attempt after system activation (94% (1293/1379) vs 77% (1888/2453), difference 16.8%; p<0.001). This resulted in a 13.9% reduction in the administration of those medications to patients. A significant decrease was observed across all provider types, educational levels, and specialties. The CPOE-QT Alert system successfully reduced exposure to QT-prolonging medications in high risk patients.


2017 ◽  
Vol 53 (3) ◽  
pp. 170-176
Author(s):  
Jonathon D. Pouliot ◽  
Erin B. Neal ◽  
Bob L. Lobo ◽  
Fred Hargrove ◽  
Rajnish K. Gupta

Background: The use of epidural anesthesia has been shown to improve outcomes in the postoperative setting. To minimize risk of complications, avoiding certain medications with epidural anesthesia is advised. Objective: This study sought to determine the role of a computerized clinical decision support module implemented into the computerized physician order entry (CPOE) system on the incidence of administration of medications known to increase complications with epidural anesthesia. Methods: This study was a retrospective cohort chart review in adult patients receiving epidural anesthesia for at least 1 day. Patients were identified retrospectively and divided into 2 cohorts, those receiving an epidural 3 months prior to initiation of the module and those receiving an epidural 3 months following implementation. The primary end point was incidence of inappropriate medication administration before and after implementation. Complications of therapy were collected as secondary end points. Results: There was a reduction in the incidence of inappropriate medication administration in the postimplementation group versus the preimplementation group (6.3% vs 12.8%) although statistical significance was not achieved. In addition, the incidence of enoxaparin administration was significantly lower postimplementation than the preimplementation (0% vs 3.9%). There were no significant differences in other complications of therapy. Conclusions: This study demonstrated that application of decision support for this high-risk procedural population was able to eliminate the incidence of the most common inappropriate medication for epidural analgesia, enoxaparin. A reduction in incidence of other inappropriate medications was also observed; however, statistical significance was not reached. The use of computerized clinical decision support can be a powerful tool in reducing or ameliorating medication errors, and further study will be required to determine the most appropriate and effective implementation strategies.


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