BMJ 2004;328:39-41 (3 January), doi:10.1136/bmj.328.7430.39
Education and debate
Assessing the quality of research
Paul Glasziou, reader1,
Jan Vandenbroucke, professor of clinical epidemiology2,
Iain Chalmers, editor, James Lind library3
1 Department of Primary Health Care, University of Oxford, Oxford OX3 7LF,
2 Leiden University Medical School, Leiden 9600 RC, Netherlands,
3 James Lind Initiative, Oxford OX2 7LG
Correspondence to: P Glasziou paul.glasziou@dphpc.ox.ac.uk
Inflexible use of evidence hierarchies confuses practitioners and irritates researchers. So how can we improve the way we assess research?
| The first 150 words of the full text of this article appear below. |
The widespread use of hierarchies of evidence that grade research studies according to their quality has helped to raise awareness that some forms of evidence are more trustworthy than others. This is clearly desirable. However, the simplifications involved in creating and applying hierarchies have also led to misconceptions and abuses. In particular, criteria designed to guide inferences about the main effects of treatment have been uncritically applied to questions about aetiology, diagnosis, prognosis, or adverse effects. So should we assess evidence the way Michelin guides assess hotels and restaurants? We believe five issues should be considered in any revision or alternative approach to helping practitioners to find reliable answers to important clinical questions.
Different types of question require different types of evidence
Ever since two American social scientists introduced the concept in the early 1960s,1 hierarchies have been used almost exclusively to determine the effects of interventions. This initial focus was appropriate but has also engendered confusion. Although interventions . . . [Full text of this article]
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Systematic reviews of research are always preferred
Level alone should not be used to grade evidence
What to do when systematic reviews are not available
Balanced assessments should draw on a variety of types of research
Conclusions

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