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R J Lilford a Department of Public Health
and Epidemiology, University of Birmingham, Birmingham B15 2TT, b Department of Medicine, New England Medical Centre, Tufts
University, 750 Washington Street, Boston, MA 02111, USA, c MRC Health Services Research
Collaboration, University of Bristol, Bristol BS8 2PR
Correspondence to: Professor
Lilford rlilford@doh.gov.uk Series editors: Andrew Haines
and Anna Donald
| The first 150 words of the full text of this article appear below. |
Evidence based medicine is more than just reading the results of research and applying those results to patients because patients have particular features that may make them different from the "average" patient studied in a clinical trial.1 There are two types of differences. The first type of differences comprise those that affect probability (for example, the probability that treatments will have the same absolute or relative effects as those measured in the trial). The second type of differences comprise those values (or utilities) that affect how much of a side effect a person is prepared to trade off against the positive advantages of treatment.
Thus it is necessary for doctors to relate the results from a
trial to their particular patient. Health professionals usually do this
intuitively, but formal decision analysis provides an intellectual
framework for developing an explicit decision making algorithm which
can be criticised and improved. Although, currently,
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