Anesthesia and analgesia
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Anesthesia and analgesia · May 2019
ReviewEvidence Review Conducted for the Agency for Healthcare Research and Quality Safety Program for Improving Surgical Care and Recovery: Focus on Anesthesiology for Colorectal Surgery.
The Agency for Healthcare Research and Quality, in partnership with the American College of Surgeons and the Johns Hopkins Medicine Armstrong Institute for Patient Safety and Quality, has developed the Safety Program for Improving Surgical Care and Recovery (ISCR), which is a national effort to disseminate best practices in perioperative care to more than 750 hospitals across multiple procedures in the next 5 years. The program will integrate evidence-based processes central to enhanced recovery and prevention of surgical site infection, venous thromboembolic events, catheter-associated urinary tract infections with socioadaptive interventions to improve surgical outcomes, patient experience, and perioperative safety culture. The objectives of this review are to evaluate the evidence supporting anesthesiology components of colorectal (CR) pathways and to develop an evidence-based CR protocol for implementation. ⋯ These guidelines/recommendations were supplemented by evidence made further literature searches. Anesthesiology protocol components were identified spanning the immediate preoperative, intraoperative, and postoperative phases of care. Components included carbohydrate loading, reduced fasting, multimodal preanesthesia medication, antibiotic prophylaxis, blood transfusion, intraoperative fluid management/goal-directed fluid therapy, normothermia, a standardized intraoperative anesthesia pathway, and standard postoperative multimodal analgesic regimens.
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Anesthesia and analgesia · May 2019
Digital Quality Improvement Approach Reduces the Need for Rescue Antiemetics in High-Risk Patients: A Comparative Effectiveness Study Using Interrupted Time Series and Propensity Score Matching Analysis.
Affecting nearly 30% of all surgical patients, postoperative nausea and vomiting (PONV) can lead to patient dissatisfaction, prolonged recovery times, and unanticipated hospital admissions. There are well-established, evidence-based guidelines for the prevention of PONV; yet physicians inconsistently adhere to them. We hypothesized that an electronic medical record-based clinical decision support (CDS) approach that incorporates a new PONV pathway, education initiative, and personalized feedback reporting system can decrease the incidence of PONV. ⋯ We demonstrate an approach to reduce PONV using individualized emails and anesthesia-specific CDS tools integrated directly into a commercial electronic medical record. We found an associated decrease in the PACU administration of rescue antiemetics for our high-risk patient population.
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Anesthesia and analgesia · May 2019
Considerations for Clock Drawing Scoring Systems in Perioperative Anesthesia Settings.
The Clock Drawing Test is a cognitive screening tool gaining popularity in the perioperative setting. We compared 3 common scoring systems: (1) the Montreal Cognitive Assessment; (2) the Mini-Cog; and (3) the Libon scale. Three novice raters acquired interrater and intrarater reliability for each scoring system and then scored 738 preoperative clock drawings with each scoring system. Final scores correlated with each other but with notable discrepancies, indicating the need to attend to interrater and intrarater reliability when implementing any scoring approach in a clinical setting.
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Anesthesia and analgesia · May 2019
Automated Assessment of Existing Patient's Revised Cardiac Risk Index Using Algorithmic Software.
Previous work in the field of medical informatics has shown that rules-based algorithms can be created to identify patients with various medical conditions; however, these techniques have not been compared to actual clinician notes nor has the ability to predict complications been tested. We hypothesize that a rules-based algorithm can successfully identify patients with the diseases in the Revised Cardiac Risk Index (RCRI). ⋯ Rules-based algorithms for disease in the RCRI can be created that perform with a similar discriminative ability as compared to physician notes and ICD codes but with significantly increased economies of scale.