Browsing by Subject "order set"

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    A Novel Orderset Driven Emergency Department Atrial Fibrillation Algorithm to Increase Discharge and Risk-appropriate Anticoagulation.
    (Wolters Kluwer, 2022-09) Roumpf, Steven K.; Kline, Jeffrey A.; Dandamudi, Gopi; Schaffer, Jason T.; Flack, Tara; Gallaher, Wesley; Weaver, Allison M.; Hunt, Ina; Thinnes, Erynn; Strachan, Christian C.; Hall, Cassandra; Pafford, Carl; Hunter, Benton R.; Emergency Medicine, School of Medicine
    Introduction: Patients with atrial fibrillation (AF) are frequently admitted from the emergency department (ED), and when discharged, are not reliably prescribed indicated anticoagulation. We report the impact of a novel computerized ED AF pathway orderset on discharge rate and risk-appropriate anticoagulation in patients with primary AF. Methods: The orderset included options for rate and rhythm control of primary AF, structured risk assessment for thrombotic complications, recommendations for anticoagulation as appropriate, and follow up with an electrophysiologist. All patients discharged from the ED in whom the AF orderset was utilized over an 18-month period comprised the primary study population. The primary outcome was the rate of appropriate anticoagulation or not according to confirmed CHADS-VASC and HASBLED scores. Additionally, the percentage of primary AF patients discharged directly from the ED was compared in the 18-month periods before and after introduction of the orderset. Results: A total of 56 patients, average age 57.8 years and average initial heart rate 126 beats/minute, were included in the primary analysis. All 56 (100%; 95% confidence interval, 94-100) received guideline-concordant anticoagulation. The discharge rates in the pre- and postorderset implementation periods were 29% and 41%, respectively (95% confidence interval for 12% difference, 5-18). Conclusions: Our novel AF pathway orderset was associated with 100% guideline-concordant anticoagulation in patients discharged from the ED. Availability of the orderset was associated with a significant increase in the proportion of ED AF patients discharged.
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    Analysis of a Standardized Perioperative Pain Management Order Set in Highly Opioid-Tolerant Patients
    (Lippincott, Williams, and Wilkins, 2015) Isaacs, Alex N.; Knight, Kellie L.; Nisly, Sarah A.; Department of Medicine, IU School of Medicine
    Objective: The aim was to assess a standardized order set for perioperative pain management in highly opioid-tolerant patients undergoing elective orthopedic surgery. Methods: This retrospective chart review evaluated a pain order set in highly opioid-tolerant patients undergoing elective total knee or total hip arthroplasty from January 2010 through August 2012. Based on the date of the surgery, patients were allocated into preimplementation or postimplementation order set groups. The primary outcome assessed whether an adjustment in daily opioid dosage was required within the first 48 hours postoperatively. Secondary outcomes included pain scores, length of hospitalization, and safety outcomes. Results: Sixty patients were included in the analysis. An adjustment to postoperative opioid therapy occurred in 62% of the patients in the preimplementation group and in 56% of postimplementation group patients (P = 0.786). There were no differences in median pain scores 48 hours postoperatively (P = 0.348). Cumulative toxicity was increased after order set implementation compared with previous patients (44% versus 5%, P < 0.005); however, opioid doses held for sedation was the only individual toxicity to reach statistical significance (P = 0.011). Conclusions: This study is the first to evaluate a standardized order set for pain management in highly opioid-tolerant patients undergoing elective orthopedic surgery. The order set demonstrated similar efficacy to previous treatment modalities, but opioid-induced sedation was of concern with the order set. After the initial analysis, the order set was modified to minimize opioid-induced sedation. Continual safety analysis is warranted for quality improvement to enhance perioperative pain management in highly opioidtolerant patients