Accuracy of and prescriber perceptions related to documenting antibiotic indications during order entry at an academic medical center

2020 ◽  
Vol 77 (4) ◽  
pp. 282-287
Author(s):  
James Beardsley ◽  
Mark Vestal ◽  
Norbert Rosario ◽  
Kalyn Meosky ◽  
James Johnson ◽  
...  

Abstract Purpose To assess the accuracy of antibiotic indication documentation provided during order entry and prescriber perceptions of the requirement to specify indications. Methods Patients who received 1 of 6 selected antibiotics from May 1 through June 30, 2017, were identified. Records of 30 randomly selected patients who received each study antibiotic were retrospectively reviewed. The primary endpoint was indication accuracy, defined as agreement of the indication entered during order entry with that documented in progress notes at the time of order entry. Secondary endpoints included correlation of entered indication and final diagnosis for empiric antibiotics. A brief survey was emailed to prescribers to assess the burden and perceptions of requiring an indication during order entry. Results Four thousand five hundred twenty-four patients received 1 or more doses of a study antibiotic. For the 180 patients selected for evaluation, 89.4% of indications were accurate. Indications for antibiotics ordered for prophylaxis were more likely to be inaccurate than those for empiric or definitive antibiotics (accuracy rates of 46%, 94%, and 92%, respectively, p < 0.05). For empiric antibiotics, 78.5% of indications documented at order entry matched the final diagnosis. Two hundred fifty-four of 863 prescribers (29%) responded to the survey request. Most respondents felt that documenting the indication took no more than 20 seconds, was a “minor nuisance” or “occasionally burdensome,” and had no impact on their consideration of antibiotic appropriateness. Conclusion With the exception of prophylaxis, the indications documented during order entry were sufficiently accurate to assist antimicrobial stewardship efforts. Although indication documentation was perceived as a minor burden, surveyed prescribers indicated it had only a minimal beneficial effect on antibiotic prescribing.

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S667-S668
Author(s):  
Ann-Marie Idusuyi ◽  
Maureen Campion ◽  
Kathleen Belusko

Abstract Background The new ASHP/IDSA consensus guidelines recommend area under the curve (AUC) monitoring to optimize vancomycin therapy. Little is known about the ability to implement this recommendation in a real-world setting. At UMass Memorial Medical Center (UMMMC), an AUC pharmacy to dose protocol was created to manage infectious diseases (ID) consult patients on vancomycin. The service was piloted by the pharmacy residents and 2 clinical pharmacists. The purpose of this study was to determine if a pharmacy to dose AUC protocol can safely and effectively be implemented. Methods A first-order kinetics calculator was built into the electronic medical record and live education was provided to pharmacists. Pharmacists ordered levels, wrote progress notes, and communicated to teams regarding dose adjustments. Patients were included based upon ID consult and need for vancomycin. After a 3-month implementation period, a retrospective chart review was completed. Patients in the pre-implementation group were admitted 3 months prior to AUC pharmacy to dose, had an ID consult and were monitored by trough (TR) levels. The AUC group was monitored with a steady state peak and trough level to calculate AUC. The primary outcome evaluated time to goal AUC vs. time to goal TR. Secondary outcomes included number of dose adjustments made, total daily dose of vancomycin, and incidence of nephrotoxicity. Results A total of 64 patients met inclusion criteria, with 37 patients monitored by TR and 27 patients monitored by AUC. Baseline characteristics were similar except for weight in kilograms (TR 80.0 ±25.4 vs AUC 92.0 ±26.7; p=0.049). The average time to goal AUC was 4.13 (±2.08) days, and the average time to goal TR was 4.19 (±2.30) days (p=0.982). More dose adjustments occurred in the TR group compared to the AUC (1 vs 2; p=0.037). There was no difference between the two groups in dosing (TR 15.8 mg/kg vs AUC 16.4 mg/kg; p=0.788). Acute kidney injury occurred in 5 patients in the AUC group and 11 patients in the TR group (p=0.765). Conclusion Fewer dose adjustments and less nephrotoxicity was seen utilizing an AUC based protocol. Our small pilot has shown that AUC pharmacy to dose can be safely implemented. Larger studies are needed to evaluate reduction in time to therapeutic goals. Disclosures All Authors: No reported disclosures


2019 ◽  
Vol 76 (21) ◽  
pp. 1770-1776
Author(s):  
Mary Frances Picone ◽  
James P New ◽  
Matthew Hunter Johnson ◽  
Nihal Nilesh Desai ◽  
Matthew Hebbard

Abstract Purpose A project was undertaken at an academic medical center to assess use of available dosing buttons within the computerized provider-order-entry (CPOE) system in order to identify opportunities for optimization of medication builds. Methods A retrospective observational study was conducted to identify medication records within a CPOE system meeting prespecified inclusion and exclusion criteria. A report capturing all inpatient adult medication orders associated with the identified medication records over a 6-month period was generated. The primary endpoint was percent dosing-button compliance, calculated as the number of orders with doses consistent with existing dosing-button options divided by the total number of orders during the study period. Secondary study objectives included a comparison of high- and low-performing medication record samples and identification of potential reasons for lack of dosing-button use. Results A total of 2,506 CPOE medication records associated with a total of 694,877 medication orders entered during the study period were analyzed. Median percent dosing-button compliance was 99.92% (interquartile range, 83.33–100%). High-performing records (n = 1243) were more likely to be associated with anti-infective medications (p = 0.041) and medications not on formulary at the study institution (p < 0.001). Medications in the sample of poor-performing CPOE records (n = 614) were more likely to be agents delivered via the i.v. route (p < 0.001). There were 45 records for which poor dosing-button compliance was attributed to lack of a clinically reasonable dosing option. Conclusion A high level of dosing-button compliance was demonstrated despite the lack of routine revalidation of dosing buttons after initial medication builds. Some opportunity for optimization was identified during the project, which established a quality assurance method to facilitate future auditing of medication builds.


2020 ◽  
pp. 194187442097776
Author(s):  
Kristin Galetta ◽  
Galina Gheihman ◽  
Amy Rosen ◽  
Joshua P. Klein ◽  
Shamik Bhattacharyya

Objective: To determine the frequency of autoimmune antibody testing in an inpatient neurology setting and its influence on immunotherapy use on an inpatient neurology service. Methods: A retrospective descriptive cohort study of patients admitted to the neurology inpatient service at a large tertiary academic medical center who had autoimmune and/or paraneoplastic antibody testing performed between 10/1/2017 and 10/1/2018. Characteristics of patients’ initial clinical presentation, antibody testing results, test timing in relation to initiating immunotherapy, and final diagnosis using consensus criteria were extracted and analyzed. Case reports of patients with positive antibody panels are presented. Results: Of 1,604 patients, 50 patients (3.1%) had an antibody panel sent. Tests resulted after an average of 17 days (range 7-27). The most common clinical presenting symptom in those with a panel sent was encephalopathy. There were 5 (10%) positive serum panels and no positive CSF panels. Only one of these 5 patients had autoimmune encephalitis and was treated with immunotherapy. Of those with negative serum and CSF panels, 15 were treated acutely with empiric immunotherapy and the remainder with supportive care. Of those treated with immunotherapy, 14/15 (93%) were treated before the panel tests resulted. Four patients who had negative panels but were empirically treated met consensus criteria for an autoimmune-mediated neurologic process. Conclusion: Our study suggests that the results of antibody testing did not influence inpatient neurologists’ decision to treat with immunotherapy as most treatments began prior to final results being available.


2021 ◽  
Vol 11 (24) ◽  
pp. 12004
Author(s):  
Shuo-Chen Chien ◽  
Yen-Po Chin ◽  
Chang-Ho Yoon ◽  
Chun-You Chen ◽  
Chun-Kung Hsu ◽  
...  

Alert dwell time, defined as the time elapsed from the generation of an interruptive alert to its closure, has rarely been used to describe the time required by clinicians to respond to interruptive alerts. Our study aimed to develop a tool to retrieve alert dwell times from a homegrown CPOE (computerized physician order entry) system, and to conduct exploratory analysis on the impact of various alert characteristics on alert dwell time. Additionally, we compared this impact between various professional groups. With these aims, a dominant window detector was developed using the Golang programming language and was implemented to collect all alert dwell times from the homegrown CPOE system of a 726-bed, Taiwanese academic medical center from December 2019 to February 2021. Overall, 3,737,697 interruptive alerts were collected. Correlation analysis was performed for alerts corresponding to the 100 most frequent alert categories. Our results showed that there was a negative correlation (ρ = −0.244, p = 0.015) between the number of alerts and alert dwell times. Alert dwell times were strongly correlated between different professional groups (physician vs. nurse, ρ = 0.739, p < 0.001). A tool that retrieves alert dwell times can provide important insights to hospitals attempting to improve clinical workflows.


2016 ◽  
Vol 24 (2) ◽  
pp. 303-309 ◽  
Author(s):  
Ann M Lyons ◽  
Katherine A Sward ◽  
Vikrant G Deshmukh ◽  
Marjorie A Pett ◽  
Gary W Donaldson ◽  
...  

Objective: To examine changes in patient outcome variables, length of stay (LOS), and mortality after implementation of computerized provider order entry (CPOE). Materials and Methods: A 5-year retrospective pre-post study evaluated 66 186 patients and 104 153 admissions (49 683 pre-CPOE, 54 470 post-CPOE) at an academic medical center. Generalized linear mixed statistical tests controlled for 17 potential confounders with 2 models per outcome. Results: After controlling for covariates, CPOE remained a significant statistical predictor of decreased LOS and mortality. LOS decreased by 0.90 days, P &lt; .0001. Mortality decrease varied by model: 1 death per 1000 admissions (pre = 0.006, post = 0.0005, P &lt; .001) or 3 deaths (pre = 0.008, post = 0.005, P &lt; .01). Mortality and LOS decreased in medical and surgical units but increased in intensive care units. Discussion: This study examined CPOE at multiple levels. Given the inability to randomize CPOE assignment, these results may only be applicable to the local setting. Temporal trends found in this study suggest that hospital-wide implementations may have impacted nursing staff and new residents. Differences in the results were noted at the patient care unit and room levels. These differences may partly explain the mixed results from previous studies. Conclusion: Controlling for confounders, CPOE implementation remained a statistically significant predictor of LOS and mortality at this site. Mortality appears to be a sensitive outcome indicator with regard to hospital-wide implementations and should be further studied.


2021 ◽  
pp. 089719002110271
Author(s):  
Sophia Pathan ◽  
Danine Sullinger ◽  
Laura J. Avino ◽  
Samuel E. Culli

Background: Timely medication administration is integral to patient care, and operational delays can challenge timely administration. Within an inpatient pharmacy of an academic medical center, intravenous medications were historically compounded on a patient-specific basis. In 2020, the pharmacy began batching frequently-utilized medications. This analysis explored the impact of compounded sterile batching on pharmacy and nursing services. Methods: This pre- and post-interventional study compared data from February through March 2020 with a seasonally matched period from 2019. The primary endpoint was difference in time to administration of urgent (STAT) medications. Secondary endpoints included timeframes for a pharmacy technician to prepare, a pharmacist to check, and a nurse to administer the medications, as well as reprinted labels and estimated waste. Results: On average, it took one hour and 43 minutes to administer a STAT medication in 2019 and one hour and 57 minutes in 2020 ( p = 0.122). It took about four hours to administer routine medications in 2019 and 2020 ( p = 0.488). The number of labels reprinted decreased from 616 in 2019 to 549 in 2020 ( p = 0.195), relating to decreased missing doses. The mean time to check and send a medication decreased from 2019 to 2020 for STAT orders ( p < 0.001), and there was no difference in wasted medications looking at all orders in this time. Conclusion: Anticipatory batching decreased time to prepare, check, and send medications, though there was no effect on waste or on time to administration. Future studies can examine the correlation between pharmacy operations and medication administration.


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