Residency Course
Evidence-Based Practice: The Hallmark of Specialty Practice
Faculty: Jenni Moore PT, DHS, Board Certified Neurologic Physical Therapist and T. George Hornby PT, PhD
with contributions from:
Chris Henderson PT, PhD, NCS
T. George Hornby PT, PhD
Course Description
Evidence-based practice is defined as the conscientious use of current best evidence in making decisions about patient care. The approach integrates a systematic search for and critical appraisal of the most relevant evidence to answer a burning clinical question, one's own clinical expertise, and patient preferences and values. A rehabilitation practitioner needs to understand the steps to conduct evidence-based practice, including formulating a clinical question, searching for evidence, appraising evidence, applying evidence to practice, and evaluating the use of evidence. This includes development of skills such as creating good clinical questions, conducting a literature search, critically appraising articles, applying evidence-based assessments and interventions with appropriate timing and dose, and understanding the impact of the evidence on a specific patient. This comprehensive online course dives into each aspect of evidence-based practice using video tutorials, quizzes, and case applications.
Learning Objectives
At the conclusion of this course, learners will be able to:
define Evidence-Based Practice (EBP)
identify at least 3 barriers to EBP
describe the role of a specialist in promoting EBP
discuss Steps Required for Evidence-Based Practice
state the difference between EBP and Knowledge Translation
design a PICO for a clinical question
describe at least 3 resources to find literature on a PICO question
describe 2 reasons why literature appraisal is important
identify at least 3 critical appraisal tools
explain how a journal impact factor is calculated
describe the levels of evidence
explain when parametric statistics should be used
explain when non-parametric statistics should be used
given a basic description of a measurement result, determine whether a parametric or non-parametric statistic should be used
The online course will be launched in Aug, 2019
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