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Evidence Based Medicine

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Teaching Evidence Based Medicine At the Bedside Stephen R. Hayden, MD Department of Emergency Medicine UCSD Medical Center, San Diego EBM at the Bedside At the ... – PowerPoint PPT presentation

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Title: Evidence Based Medicine


1
Evidence Based Medicine
Teaching
At the Bedside
  • Stephen R. Hayden, MD
  • Department of Emergency Medicine
  • UCSD Medical Center, San Diego

2
The best teaching is taught by patients
themselves   Sir William Osler
3
EBM at the Bedside
  • At the bedside, use history and physical exam
    elements for teaching EBM
  • Take an item of history or physical exam and
    think of it as a diagnostic test
  • Presence or absence of a clinical finding changes
    the probability of disease

4
EBM at the Bedside
  • Opportunity to discuss many EBM concepts
  • Test properties of clinical exam parameters
  • Precision (kappa) of clinical examination
  • Accuracy (likelihood ratios, PPV, NPV)
  • Moving from pretest to post test probability
  • Quantifies the utility of diagnostic tests

5
Example
  • How often do you see a case of chest pain in the
    emergency department?

6
  • How precise are clinical findings in chest pain
    patients?
  • Interrater reliability (Kappa)

7
Precision of Clinical Features
Clinical Feature Kappa
Chest pain radiates to L arm 0.89
Pain in substernal location 0.74
Pain described as pressure 0.57
Pain described as sharp 0.30
Pain with movement 0.27
Hickan DH, et al. J Chronic Dis. 19853891-100
8
Precision of Physical Findings
  • Physical signs of heart failure in MI

Clinical Feature Kappa
Dyspnea 0.62 - 0.75
Neck vein distension 0.31 0.51
Dependent edema 0.27 0.64
Third heart sound 0.14 0.37
Rales 0.12 0.31
Gadsboll N. European Heart J. 1989101017-1028
9
  • How accurate are clinical findings in chest pain
    patients?

10
Accuracy of Clinical Features
Clinical Feature Positive LR (CI)
Radiation to left arm Radiation to right shoulder Radiation to both L and R arm 2.3 (1.7-3.1) 2.9 (1.4-6.0) 7.1 (3.6-14.2)
Third heart sound 3.2 (1.6-6.5)
Hypotension 3.1(1.8-5.2)
Diaphoresis 2.0 (1.9-2.2)
Nausea or vomiting 1.9 (1.7-2.3)
Past history of MI 1.5-3.0
Panju AA, et al. JAMA. 19982801256-1263
11
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12
Accuracy of Clinical Features
Clinical Feature Negative LR (CI)
Pleuritic chest pain 0.2 (0.2-0.3)
Chest pain sharp or stabbing 0.3 (0.2-0.5)
Positional chest pain 0.3 (0.2-0.4)
Chest pain reproduced by palpation 0.2 - 0.4
Panju AA, et al. JAMA. 19982801256-1263
13
  • Can this really be done in a busy ED?

14
YES IT CAN!
15
EBM at the Bedside
  • Dont attempt to answer all possible questions
    for every patient
  • Pick one clinical finding relevant to a
    individual patient
  • Choose cases you see frequently in ED

16
EBM at the Bedside
  • Requires advance preparation
  • Have Kappas, likelihood ratios with you on index
    cards, palm pilot, workstation
  • Need rapid access to high quality evidence

17
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18
Medcalc3000.com
19
http//pbrain.hypermart.net/medrules.html
(Freeware)
20
BestBets.org
Analgesia and Abdominal Pain
21
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22
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23
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24
http//nhscrd.york.ac.uk/darehp.htm
25
ACP Journal Club
26
  • How do you find articles relating to the
    precision and accuracy of the HP?

27
Search Tips
  • Add specific terms to search strategy
  • Physical examination
  • Medical history taking
  • Sensitivity or specificity
  • Clinical assessment
  • Observer variation
  • Interrater reliability

28
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29
MI Reference
  • Panju AA, et al. Is this patient having a
    myocardial infarction? JAMA. 19982801256-1263

30
Summary
  • Reviewed how to take EBM to the bedside
  • Identifying elements of the HP as tests
  • Describing precision and accuracy of HP
  • Preparing in advance / bedside tools
  • Rapid access to pre-appraised resources

31
  • I desire no other epitaph than the statement
    that I taught medical students in the wards, as I
    regard this by far the most useful and important
    work I have been called upon to do.

Sir William Osler Farewell Address, 1905
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