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EBM Dr Adrian Burger 20 March 2007.

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Presentation on theme: "EBM Dr Adrian Burger 20 March 2007."— Presentation transcript:

1 EBM Dr Adrian Burger 20 March 2007

2 EBM Intro Evidence based guidelines Evidence based care paths
Evidence based Questions Evidence based Solutions Evidence based ……

3 Shift_Expectations Whether to implement How to - sensibly
- efficiently - avoid misconceptions EBM CONCEPTS ARE NOW UNAVOIDABLE

4 (Mis)Concepts EBM DOES NOT = RCT
Cannot rely solely on research from RCT - <14% are RCT - Observational studies overlooked - undervalued patient preferences, clinical circumstances, expertise

5 What You Need to Do Clearly define your question
Thorough literature search Critically appraise the quality of the evidence Critically assess the applicability Balanced application

6 The evidence cycle

7 Balanced application of the evidence

8 Clinical circumstances
Clinical expertise and judgment Assumes physician competence on basis of - clinical experience - development of clinical instincts

9 Patient preferences Individualizes needs Takes into account patients’
- experiences - values - expectations

10 Research evidence Ask the question Acquire the information
Appraise the quality Apply the results Act on the patient

11 EBM Resources Own research, reviews - Guide to the Medical Literature
Online - Cochrane Database - Best Bets

12 Levels of Evidence Hierarchy of evidence RCT
Controlled observational studies Uncontrolled studies and opinion

13 Studies: First Question
Is the study - investigating results of a treatment? Therapeutic Study - outcome of a disease? Prognostic Study - Diagnostic test? - Developing an economic model/decision analysis?

14 Studies: Categorize the study
Level 1 RCT or systematic review of RCTs Level 2 Prospective cohort, poor quality RCT, systematic review Level 3 Case control, retrospective cohort, systematic review of level 3 studies

15 Categorize the studies 2
Level 4 Case series Level 5 Expert opinion

16 Level One and Two

17 Level 3-5

18 Errors in Hypothesis Testing
Small sample studies - Type 2 Beta errors Probability of concluding that no difference exists when there is a difference Acceptable rate is 20% This equals a power of 80% If >20% then unacceptably high risk of false negatives

19 Errors 2 Type 1 or Alpha Error
Concluding the results of a study are true when in fact it is due to chance or random sampling error Is an erroneous false positive Acceptable rate of 5%

20 Power of a study Probability of concluding a difference between two treatments when one actually does exist Power = 1- Beta Can be used before a study to determine study sample size Can be used after a study to determine if negative findings true or just due to chance

21 Article Injury, 37, 302 – 306 Evidence-based Medicine: What it is
and what it is not


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