Category Archives: Evidence-Based Practice

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Expert Advice: EBP Resources: Online Clinical Practice Guidelines

One of the questions I’ve been asked recently is around finding free online resources for evidence-based practice (EBP).  (Of course, I think you are already on the best website for clarifying your questions and really understanding how to be an evidence-based practitioner!) 🙂 I have been obsessed with finding good

What’s the Difference Between Statistical Significance and Clinical Significance?

There are two types of significance used to interpret research studies – statistical significance and clinical significance. They are not the same thing. One answers the question, Are the statistical results due to random chance? and the other answers the question, So what? Will the results matter to our patients?

Use the 6A’s to Remember the Evidence-Based Practice Process

In recent weeks, I presented an overview of what the three components of evidence-based practice (best evidence, clinical expertise, and patient preferences) really mean to the evidence-based practitioner.  In this post, I’m going to present an overview of the evidence-based practice process, also known as the “A’s” – this post

What Does “Patient Preferences” Mean in Evidence-Based Practice?

To be an evidence-based practitioner one must find the best evidence available, include one’s clinical expertise as an additional source of evidence, and then incorporate patient preferences and values into a recommendation for care.  A few weeks ago I talked about EBP in general terms.  I deconstructed the major components

What Does “Clinical Expertise” Mean in Evidence-Based Practice?

Two weeks ago, I introduced the topic of evidence-based practice (EBP) and defined it as the integration of best evidence, clinical expertise, and patient preferences for clinical decision-making.  Last week, I talked about the concept of “best evidence” and how nurses apply best evidence in practice.  This post will deep

What Does “Best Evidence” Mean in Evidence-Based Practice?

Last week I introduced the topic of evidence-based practice or EBP.  The evolution of EBP into the healthcare mindset, as opposed to traditional or authority-based practice, has been gradual, but is now part of the healthcare vernacular and, indeed, accepted as the way that modern healthcare clinicians should be practicing

What is Evidence-Based Practice?

Regardless of when you went to nursing school, you’ve heard the term, evidence-based practice or evidence-based nursing, in your clinical or professional practice. Evidence-based practice may even be a part of your job description — but do you really understand what it means to base your nursing practice on evidence?

Introduction to Clinical Statistics for EBP – Morbidity (Frequency) Measures

This Podcast provides an introduction to clinical epidemiology, the foundation of clinical statistics that are used in evidence-based practice (EBP).  This podcast introduces morbidity or frequency measures of incidence, prevalence, and incidence density and why these concepts are important for advanced nursing practice. In addition, a brief overview of research designs to

Introduction to Clinical Statistics for EBP – Measures of Clinical Significance

A continuation of the podcast series providing an overview of clinical statistics for evidence-based practice for healthcare providers. This podcast contains a discussion of epidemiologic parameters that are important for choosing and understanding measures of clinical significance. Especially those related to ascertaining differences in group outcomes, i.e., intervention effects (e.g., effect size),

Introduction to Clinical Statistics for EBP – Diagnostic Testing

A continuation of the podcast series providing an overview of clinical statistics for evidence-based practice for healthcare providers. This podcast contains a discussion of parameters used to ascertain the accuracy of diagnostic testing for clinical decision-making. 2×2 Tables for diagnostic tests, Pretest and posttest probabilities, sensitivity and specificity, predictive values, and likelihood values are

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