Developing an emergency department order set to treat acute pain in sickle cell disease.
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ABSTRACT: Study objective
Patients with sickle cell disease (SCD) have many emergency department visits because of painful vaso-occlusive episodes (VOE). Guidelines recommend treatment within 30 minutes of triage, but this is rarely achieved in clinical practice. Our goal was to develop an order set that is being implemented in the ED to facilitate and standardize emergency care for SCD patients in acute pain from VOEs presenting to the emergency department (ED) in New York City (NYC).Methods
Using a RAND/University of California, Los Angeles modified Delphi panel, we convened a multidisciplinary panel and reviewed evidence on how to best manage SCD pain in the ED. Panelists collaboratively developed then rated 202 items that could be included in an ED order set.Results
A consensus order set, a practical how-to guide for managing SCD pain in the ED, was developed based on items that received high median ratings.Conclusions
The management of acute pain experienced during VOEs is critical to patients with SCD; ED order sets, such as this one, can help standardize pain management, including at triage, evaluation, discharge, and follow-up care. After implementation in NYC EDs, studies to examine changes in quality care metrics (eg, wait times, readmissions) are planned.
SUBMITTER: Duroseau Y
PROVIDER: S-EPMC8349222 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:OBJECTIVE:To determine the association between health literacy, medication knowledge, and pain treatment skills with emergency department (ED) use of parents of children with sickle cell disease (SCD). METHODS:Parents of children 1- to 12-years-old with SCD were enrolled. Health literacy was assessed using the Newest Vital Sign. Parents completed a structured interview assessing knowledge of the dosage and frequency of home pain medications and an applied skills task requiring them to dose a prescribed pain medication. Underdosage was defined by too small a dose (dosage error) or too infrequent a dose (frequency error). The association between medication knowledge and applied skills with ED visits for pain over the past year was evaluated using Poisson regression adjusting for genotype. RESULTS:One hundred parent/child pairs were included; 50% of parents had low health literacy. Low health literacy was associated with more underdose frequency errors (38% vs. 19%, P = 0.02) on the skills task. On medication knowledge, underdose dosage errors (adjusted incidence rate ratio [aIRR] 2.0, 95% confidence interval [CI] 1.3-3.0) and underdose frequency errors (aIRR, 1.7, 95% CI 1.2-2.6) were associated with a higher rate of ED visits for pain. On the skills task, underdose dosage errors (aIRR 1.6, 95% CI 1.1-2-.4) and underdose frequency errors were associated with more ED visits (aIRR 1.5, 95% CI 1.1-2.1). CONCLUSIONS:For medication knowledge and skills tasks, children of parents who underdosed pain medication had a higher rate of ED visits for pain. Health literate strategies to improve parents' medication skills may improve pain treatment at home and decrease healthcare utilization.
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Project description:Sickle pain is the hallmark of sickle cell disease (SCD). It could be acute, persistent/relapsing, chronic, or neuropathic. Although there is a general consensus that pain is a major manifestation of SCD, there is a controversy as to the types of pain and their interrelationship between acute, chronic, relapsing, persistent, etc. This report first reviews the general approach to the management of acute vaso-occlusive crisis (VOC) pain, including education, counseling, pharmacotherapy, non-pharmacotherapy, and fluid therapy. This is followed by the presentation of five patients that represent typical issues that are commonly encountered in the management of patients with SCD. These issues are: individualized treatment of pain, bilaterality of pain, use of illicit drugs, tolerance to opioids, opioid-induced hyperalgesia, and withdrawal syndrome. The clinical aspects and management of each of these issues are described. Moreover, such complications as tolerance and withdrawal may persist after discharge and may be mistaken as chronic pain rather than resolving, persistent or relapsing pain.
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Project description:Sickle cell disease is the most common inherited blood disorder in the United States. This disorder of hemoglobin structure leads to a chronic hemolytic anemia and complex chronic disease manifested by sudden, severe, and life-threatening complications. These acute complications can occur in any organ system beginning in early childhood and lasting throughout life. The intermittent nature and acuity of these complications lend the emergency department to be an important site of care. The hallmark of sickle cell disease is the vasoocclusive painful event. Other more "typical" complications include fever, acute chest syndrome, priapism, and ischemic stroke. Children with sickle cell disease can also present with other "atypical" complications that can have devastating consequences if they are unrecognized. Detailed discussion of these "atypical" sickle cell disease complications, organized by organ system involved, will be the focus of this article.
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Project description:IntroductionAcute pain is one of the most common complaints that presents to the emergency department. Despite its ubiquity, oligoanalgesia, or the undertreatment of pain, remains a problem in medicine, possibly due to minimal dedicated pain teaching for senior medical students transitioning to residency.MethodsWe designed a 2.5-hour interactive seminar for senior medical students transitioning into residency. The seminar included a chalk talk and case-based discussion, reviewed pain physiology, revisited pain assessment, and introduced pain management strategies using a novel acute pain plan to organize an analgesic approach from presentation through disposition from the emergency department. The didactic chalk talk was interwoven with a case of acute pain. Seminar materials promoted a near-peer teaching opportunity for future facilitators. Learners completed open-ended pre-/postsession knowledge assessments.ResultsData were obtained from 19 fourth-year medical students enrolled in three iterations of a preinternship course at Harvard Medical School. Prior to the seminar, learners scored an average of 23.0 out of 53.0 points (SD = 9.0) on the knowledge assessment, which improved to 36.6 out of 53.0 points (SD = 6.7) following the seminar (paired t test p < .001). Learner satisfaction data revealed a positive response to the seminar: Learners felt more confident managing pain and highly recommended the seminar's continuation in the future.DiscussionInitial data from this seminar suggest a need for and benefit of targeted pain education for senior medical students. Seminar materials can easily be adapted for learners in other departments or in early graduate medical education.
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Project description:BackgroundDue to an aging population and the increasing proportion of patients with various comorbidities, the number of patients with acute ischemic heart disease (AIHD) who present to the emergency department (ED) with atypical chest pain is increasing. The aim of this study was to develop and validate a prediction model for AIHD in patients with atypical chest pain.Methods and resultsA chest pain workup registry, ED administrative database, and clinical data warehouse database were analyzed and integrated by using nonidentifiable key factors to create a comprehensive clinical dataset in a single academic ED from 2014 to 2018. Demographic findings, vital signs, and routine laboratory test results were assessed for their ability to predict AIHD. An extreme gradient boosting (XGB) model was developed and evaluated, and its performance was compared to that of a single-variable model and logistic regression model. The area under the receiver operating characteristic curve (AUROC) was calculated to assess discrimination. A calibration plot and partial dependence plots were also used in the analyses. Overall, 4,978 patients were analyzed. Of the 3,833 patients in the training cohort, 453 (11.8%) had AIHD; of the 1,145 patients in the validation cohort, 166 (14.5%) had AIHD. XGB, troponin (single-variable), and logistic regression models showed similar discrimination power (AUROC [95% confidence interval]: XGB model, 0.75 [0.71-0.79]; troponin model, 0.73 [0.69-0.77]; logistic regression model, 0.73 [0.70-0.79]). Most patients were classified as non-AIHD; calibration was good in patients with a low predicted probability of AIHD in all prediction models. Unlike in the logistic regression model, a nonlinear relationship-like threshold and U-shaped relationship between variables and the probability of AIHD were revealed in the XGB model.ConclusionWe developed and validated an AIHD prediction model for patients with atypical chest pain by using an XGB model.
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Project description:BackgroundEarly screening and accurately identifying Acute Appendicitis (AA) among patients with undifferentiated symptoms associated with appendicitis during their emergency visit will improve patient safety and health care quality. The aim of the study was to compare models that predict AA among patients with undifferentiated symptoms at emergency visits using both structured data and free-text data from a national survey.MethodsWe performed a secondary data analysis on the 2005-2017 United States National Hospital Ambulatory Medical Care Survey (NHAMCS) data to estimate the association between emergency department (ED) patients with the diagnosis of AA, and the demographic and clinical factors present at ED visits during a patient's ED stay. We used binary logistic regression (LR) and random forest (RF) models incorporating natural language processing (NLP) to predict AA diagnosis among patients with undifferentiated symptoms.ResultsAmong the 40,441 ED patients with assigned International Classification of Diseases (ICD) codes of AA and appendicitis-related symptoms between 2005 and 2017, 655 adults (2.3%) and 256 children (2.2%) had AA. For the LR model identifying AA diagnosis among adult ED patients, the c-statistic was 0.72 (95% CI: 0.69-0.75) for structured variables only, 0.72 (95% CI: 0.69-0.75) for unstructured variables only, and 0.78 (95% CI: 0.76-0.80) when including both structured and unstructured variables. For the LR model identifying AA diagnosis among pediatric ED patients, the c-statistic was 0.84 (95% CI: 0.79-0.89) for including structured variables only, 0.78 (95% CI: 0.72-0.84) for unstructured variables, and 0.87 (95% CI: 0.83-0.91) when including both structured and unstructured variables. The RF method showed similar c-statistic to the corresponding LR model.ConclusionsWe developed predictive models that can predict the AA diagnosis for adult and pediatric ED patients, and the predictive accuracy was improved with the inclusion of NLP elements and approaches.
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