Point-of-care Resource Use in the Emergency Department: A Developmental Model.

BACKGROUND: Technologic advances, free open-access medical education (FOAM or #FOAMed), and social media have increased access to clinician-oriented medical education resources and interactions at the point of care (POC); yet, how, when, and why medical providers use these resources remains unclear. To facilitate the development and design of intuitive POC resources, it is imperative that we expand our understanding of physician knowledge-seeking behavior at the POC. METHODS: Individual semistructured interviews were conducted and analyzed using a qualitative, grounded theory approach. Twelve emergency medicine providers (three medical students, three residents, and six attending physicians) were interviewed in person or via video chat to explore how POC resources are used in the emergency department (ED). A coding system was developed by two investigators and merged by consensus. A third investigator audited the analysis. RESULTS: A conceptual framework emerged from the data describing the four main uses of POC resources (deep-dive, advanced clinical decision making, teaching patients, and teaching learners) and how practitioners' main use varied based on medical expertise. Junior learners prioritize their own broad learning. Experienced learners and physicians prefer to 1) seek answers to specific focused clinical questions and 2) disseminate POC information to teach patients and learners, allowing them to devote more of their time to other clinical and teaching tasks. CONCLUSION: The conceptual framework describes how physician knowledge-seeking behavior using POC resources in the ED evolves predictably throughout training and practice. Knowledge of this evolution can be used to enhance POC resource design and guide bedside teaching strategies.

Implementation of an institution-specific antimicrobial stewardship smartphone application.

Smartphones are increasingly used to access clinical decision support, and many medical applications provide antimicrobial prescribing guidance. However, these applications do not account for local antibiotic resistance patterns and formularies. We implemented an institution-specific antimicrobial stewardship smartphone application and studied patterns of use over a 1-year period.

Validation of the Denver Emergency Department Trauma Organ Failure Score to Predict Post-Injury Multiple Organ Failure.

BACKGROUND: Early recognition of trauma patients at risk for multiple organ failure (MOF) is important to reduce the morbidity and mortality associated with MOF. The objective of the study was to externally validate the Denver Emergency Department (ED) Trauma Organ Failure (TOF) Score, a 6-item instrument that includes age, intubation, hematocrit, systolic blood pressure, blood urea nitrogen, and white blood cell count, which was designed to predict the development of MOF within 7 days of hospitalization. STUDY DESIGN: We performed a prospective multicenter study of adult trauma patients between November, 2011 and March, 2013. The primary outcome was development of MOF within 7 days of hospitalization, assessed using the Sequential Organ Failure Assessment Score. Hierarchical logistic regression analysis was performed to determine associations between the Denver ED TOF Score and MOF. Discrimination was assessed and quantified using a receiver operating characteristics (ROC) curve. The predictive accuracy of the Denver ED TOF score was compared with attending emergency physician estimation of the likelihood of MOF. RESULTS: We included 2,072 patients with a median age of 46 years (interquartile range [IQR] 30 to 61 years); 68% were male. The median Injury Severity Score was 9 (IQR 5 to 17), and 88% of patients had blunt mechanism injury. Among participants, 1,024 patients (49%) were admitted to the ICU, and 77 (4%) died. Multiple organ failure occurred in 120 (6%; 95% CI 5% to 7%) patients and of these, 37 (31%; 95% CI 23% to 40%) died. The area under the ROC curve for the Denver ED TOF Score prediction of MOF was 0.89 (95% CI 0.86 to 0.91) and for physician estimation of the likelihood of MOF was 0.78 (95% CI 0.73 to 0.83). CONCLUSIONS: The Denver ED TOF Score predicts development of MOF within 7 days of hospitalization. Its predictive accuracy outperformed attending emergency physician estimation of the risk of MOF.