Introduction to nursing research

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reducingcentrallinearticle1.pdf

these practices mandatory, requiring support in order to enforce them. Preliminary chart review at UTSW showed low adherence overall. Objectives Our aim was to improve opioid treatment standards in CNCP patients at UTSW by increasing the number of physicians adhering to Texas Medical Board CNCP treatment requirements to 100% by December 2020. Methods A three-part intervention including an electronic medical record (EMR) navigator tool (figure 1), chronic opioids registry, and physician education was developed to improve accessibility, documentation, and understanding of opioid prescribing guideline recommendations. A survey was developed to measure physician barriers to policy adherence, attitudes toward the policy components, and current opioid prescribing practices.

Results Physicians who had used the EMR navigator tool reported overall greater use of several guideline-concordant treatment components compared to those who had not used it (figure 2). Physicians who received opioid prescribing train- ing were more aware and familiar with the policy. Those who had used the EMR navigator tool were more likely to imple- ment pain management agreements and check the PMP (table 1). Only a small percentage of respondents reported co-pre- scribing naloxone for high-risk CNCP individuals (table 2). Conclusions An EMR navigator tool to improve accessibility of treatment components is effective in improving policy adherence at our institution. These interventions may serve as a valuable tool at other academic medical centers to support safer opioid prescribing and provide a framework for tools to support other guidelines as well.

26 REDUCING CENTRAL LINE ASSOCIATED BLOODSTREAM INFECTIONS IN THE NEUROSURGICAL AND SURGICAL INTENSIVE CARE UNITS

Geralda Xavier, Briana Episcopia, Mikael Phillip. NYC Health + Hospitals/Kings County, USA

10.1136/bmjoq-2020-IHI.26

Background In 2018 there was an increase in Central Line Associated Bloodstream Infections (CLABSIs) in the Neurosur- gical and Surgical Intensive Care Units at NYC Health + Hos- pitals/Kings County Objectives We initiated a CLABSI reduction project with a goal to reduce the CLABSI rate by 50% by the end of 2019, which was achieved. Methods Through root cause analysis (RCA) of patients with central line catheters, CLABSI event data was analyzed and a special cause variation was revealed in patients on total paren- teral nutrition (TPN). Retrospective review of data from Janu- ary 2017 – March 2019 revealed 7 TPN-related candidemias. An interdisciplinary team was assembled to perform multiple tests of change. Using point prevalence data, we observed a 47% bundle compliance rate at the project’s onset, with the initial PDSA cycle focusing on bundle adherence for line maintenance. After implementing and sustaining our initial PDSA cycle, we focused additional cycles to included empiric treatment with fluconazole for patients on TPN over 7 days and implementation of dedicated ICU multidisciplinary care team rounds. Results Following these improvement cycles, we reduced our total CLABSI rate by 50% and we saw 0 TPN-related candi- demia over 10 consecutive months. From 2018–2019, our overall CLABSI rate in the ICU decreased from 3.6 to 1.8 per 1000 central line days. Using the Association for Profes- sionals in Infection Control and Epidemiology (APIC) Cost of Healthcare-Associated Infections Model we estimate a $100,854 cost savings and 51 avoided excess hospital days in 2019. Conclusions Through focused unit-based education, implemen- tation of a standardized bundle compliance monitoring tool and capture/circulation of staff feedback, we saw rates improve to 98%, which has sustained over time. We observed patients on TPN greater than 7 days are most susceptible to infection. However, multidisciplinary rounds with shared accountability improved compliance with bundle.

Abstract 25 Table 1 Summary of survey respondent characteristics pre- and post- intervention with cancer and palliative care respondents removed, SD = standard deviation

Abstract 25 Table 2 Distribution of other chronic pain policy recommendations,% (No.) Measured on a scale from 1-5 where 1 = Never, 2 = Rarely, 3 = Sometimes, 4 = Often, 5 = Very Often. MEDD = Morphine Equivalent Daily Dose

Abstracts

BMJ Open Quality 2020;9(Suppl 1):A1–A32 A27

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