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Title: Numeracy: disclaimer


1
Numeracy disclaimer
  • This is hard for many medical personnel
  • You can probably spelll beter than I can

2
Why understand measures of efficacy?
  • Go tohttp//medinformatics.uthscsa.edu/ms3/rx

3
Feedback
  • Current results

4
http//utxr.org
5
Example 1
  • Bad outcome
  • Drug 6 / 100
  • Placebo 10 / 100
  • What is the percent benefit?
  • ___ (ARR)
  • ___ (RRR)
  • (there are two possible answers)
  • What is the NNT ___ ?

6
Example 2
  • Change which team member has the pencil/paper
  • In a study of preventing death from a disease
  • Experimental event rate (EER) 20
  • Control event rate (CER) 30

7
Example 2
  • Use http//clinical.uthscsa.edu/calc
  • In a study of preventing death from a disease
  • Experimental event rate (EER) 20
  • Control event rate (CER) 30

8
Explanation
9
Explanation
10
Interpreting NNTs
  • The NNS (number need to screen) for women aged
    40-50 with MMG
  • 1200 according to the USPSTF (PMID 12204020)
  • 2500 according to the NCI (http//www.cancer.gov/c
    ancertopics/pdq/screening/breast/HealthProfessiona
    l/page2)
  • What is the NNS for prostate cancer according to
    PMID 10989402?

11
ARRs and NNTs
  • 3 limitations

12
Calculating NNTs
  • Can you calculate a NNT from the information in
    this NEJM abstract
  • PMID 18836213
  • How about using mortality data from the full text
    of the article?

13
What about this
  • Bad outcome
  • Drug 6 / 100
  • Placebo control 10 / 100
  • What is the percent benefit?
  • ARR is 4
  • RRR is 40
  • NNT 25
  • If a doctor uses this drug in patients that
    without rx have a 1 /100 risk of bad outcome.
    What is the
  • ARR
  • RRR
  • NNT

14
Shared decision making and the law
  • A residency program in Virginia lost a
    malpractice case when a resident physician used
    shared decision making, the patient declined PSA
    testing, and the patient later developed prostate
    cancer http//jama.ama-assn.org/cgi/content/full/2
    91/1/15.
  • This famous case was determined by a locality
    rule. In Texas we do not use a locality rule
    (http//jama.ama-assn.org/cgi/content/full/297/23/
    2633).

15
Calculators
  • Online calculator
  • http//clinical.uthscsa.edu
  • (click Calculators')
  • Center for Evidence-based medicine
  • (click 'EBM tool box')
  • Palm
  • UTHSCSA - Appraising applying medical evidence
  • Use www.StyleTap.com to place on PocketPC
  • Toronto
  • Palm http//www.cebm.utoronto.ca/palm/ebmcalc
  • EBM Tables (has many NNTs) http//www.cebm.utoront
    o.ca/palm/nnt/
  • Pocket PC
  • Toronto
  • PocketPC http//www.cebm.utoronto.ca/pocketpc/ebm
    cal

16
End
17
Relative risk reduction
  • Bad outcome
  • Drug 6 / 100 EER 6
  • Placebo 10 / 100 CER 10
  • Relative risk reduction
  • (EER - CER) / CER
  • (10 6) / 10
  • 4 / 10 40

Return
18
Absolute risk reduction
  • Bad outcome
  • Drug 6 / 100 EER 6
  • Placebo 10 / 100 CER 10
  • Absolute risk reduction
  • CER - CER
  • 10 6 4

Return
19
Number needed to treat (NNT)
  • Bad outcome
  • Drug 6 / 100 EER 6
  • Placebo 10 / 100 CER 10
  • NNT 100 / ARR
  • 100 / 4
  • 25 patients must be treated for one to be
    benefited by the drug

Return
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