002 Bedside Biostatistics: How to Find and Use Evidences to Take Care of Patients

Saturday, April 13
8:00 am - 5:00 pm
Location: 28DE; SDCC

Fee: $600
Advanced Practice Provider Fee: $420
Candidate and Medical Student Fee: $130

Director(s): Michael Glantz, MD

Faculty: Frederick G. Barker II, MD, FAANS; Nicholas James Brandmeir, MD; Ephraim W. Church, MD; Robert E. Harbaugh, MD, FAANS; Akshal Sudhir Patel, MD; Elias B. Rizk, MD, FAANS; Steven A. Toms, MD, MPH, FAANS; Brad Evan Zacharia, MD, FAANS

The goal of this program is to equip participants with the knowledge and tools needed to translate evidence (a published article, a research presentation, clinical trial data) into action (a specific bedside intervention). Although brief formal lectures (for example, on "Meta-analysis", "Choosing the Correct Statistical Test", "When Can We Be Positive About P-Values" and "Kaplan-Meier Analysis") will be a part of the program, traditional didactic talks will be minimized, and much of our time will be spent performing hands-on analyses of data within faculty-mentored small groups. Each group will collect, grade, and synthesize (using meta-analytic and other pertinent statistical techniques) the evidence surrounding a current major controversy in neurosurgery. Topics will include vascular, functional, spine, and oncologic neurosurgery. Participants will make use of and go home with user-friendly statistical tools, checklists, algorithms, and assessment sheets specially designed for this course. By the completion of the course, each small group will have produced a document that summarizes the available evidence relevant to their specific diagnostic or therapeutic question. We anticipate that these documents, with subsequent editing, will be submitted for publication to a prominent peer reviewed neurosurgical journal. The process used in this course will empower participants to perform the same EBM magic on journal articles or clinical questions of their choosing in their own office, hospital, or academic setting. This course will equip academically oriented participants to author manuscripts for publication and prepare clinical trials for submission to IRBs and other regulatory committees, will equip participants in clinical practice to identify and apply best current practices, and will protect all practitioners from being misled by unsupported research claims. No previous training in biostatistics is required. Participants will need to bring a laptop or similar device with them for use during the course.

Learning Objectives: After completing this educational activity, participants should be able to:

  • Recognize the principles of evidence-based medicine and critical review, and how these apply to the bedside practice of neurosurgery.
  • Deconstruct published articles, assess their accuracy and rigor, and make appropriate evidence-based clinical decisions based on those articles.
  • Identify bias and the misuse of statistical procedures.
  • Apply and interpret statistical tests and algorithms in ways that enhance performance in each participant's own practice setting.