Annals of emergency medicine
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Causal diagrams are used in biomedical research to develop and portray conceptual models that accurately and concisely convey assumptions about putative causal relations. Specifically, causal diagrams can be used for both observational studies and clinical trials to provide a scientific basis for some aspects of multivariable model selection. This methodology also provides an explicit framework for classifying potential sources of bias and enabling the identification of confounder, collider, and mediator variables for statistical analyses. ⋯ We present numeric examples of effect estimate calculations and miscalculations based on analyses of the well-known Framingham Heart Study. Clinical researchers can use causal diagrams to improve their understanding of complex causation relations to determine accurate and valid multivariable models for statistical analyses. The Framingham Heart Study dataset and software codes for our analyses are provided in Appendix E1 (available online at http://www.annemergmed.com) to allow readers the opportunity to conduct their analyses.
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Observational Study
Variability in Emergency Department Procedure Rates and Distributions in a Regional Health System: A Cross-Sectional Observational Study.
Procedural competency is essential to the practice of emergency medicine. However, there are limited data quantifying emergency department procedural volumes to inform the work of educators and credentialing bodies. In this study, we characterize procedural scope and volume in a regional health care system and compare rates between practice settings and over time. ⋯ All procedures were performed in all settings and rates of several emergent procedures were similar in both settings, underscoring the importance of broad procedural competence for all emergency physicians. Educators and credentialing organizations can use these data to inform decisions regarding curriculum design and certification requirements.