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Martin Roland a National Primary
Care Research and Development Centre, University of Manchester,
Manchester M13 6PL, b Centre for Health Economics,
University of York, York YO1 5DD
Correspondence to Dr
Roland
Many types of clinical, patient related, and economic
outcomes can be measured in trials. The choice of one or more outcomes will depend on the nature of the study and the question it is trying to
answer. Objectives can relate to different levels of observation and
analysis, from the individual to the family, the community, and society
as a whole.
If a trial is "explanatory"1 then a single main
measure of clinical outcome may be appropriate. For example, if a trial is designed to determine which of two antihypertensive agents is more
effective at lowering blood pressure then hypertensive control will be
the main outcome. Traditionally, clinical trials have used
physiological or biomedical outcomes, but these may not be well related
to clinical outcomes. One example of a surrogate outcome measure which
misled investigators was the CD4 count in AIDS trials: this turned out
to be a poor predictor of survival.2 Thus the use of
physiological surrogates which are not clearly related to health
outcomes must be viewed with caution.
A range of health status measures have been developed to address the
poor relation which may exist between clinical outcomes and outcomes
that are important to patients. These attempt to capture the patient's
experience using valid and reliable quantitative scales.
3 4
They generally aim to quantify the extent to
which an illness affects a patient's ability to carry out a range of normal activities. They may be related to abilities across a wide range
of activities or targeted at problems associated with specific diseases. A common approach is to use both a general and a disease specific measure within one trial.
In pragmatic trials a single outcome measure may be inadequate for
clinicians and other healthcare decision makers to weigh up the risks,
costs, and benefits of a given intervention. Several outcome measures
are therefore commonly included. For example, in trials of back pain,
the Cochrane Collaboration recommends that outcomes should include
pain, functional status, ability to work, and satisfaction with
treatment.5 In another example a recent trial sought to
compare evening and night care given by doctors from commercial
deputising services with that given by a doctor from the patient's own
practice; the outcomes included whether the patient was actually
visited, what prescriptions were given, whether there was any
difference in health outcome for patients, and whether care from one
type of doctor was more likely to increase subsequent use of health
services.
6 7
The use of a wide range of outcomes is
likely to be more informative for decision makers than a single outcome
measure.
The impact of a disease may extend beyond the individual to the family
or carers Although it is often advisable to use several different outcome
measures, some have advocated that the very large trials needed to
answer certain types of clinical problem should focus on a small number
of very simple outcomes.10 There is also a statistical drawback to using multiple outcome measures. Increasing the number of
measures in a trial increases the probability that one will reach
statistical significance on the basis of chance alone. When a research
question requires that several separate outcomes should be separately
assessed, this needs to be taken into account in the sample size
calculation. In general, more subjects are needed when several outcomes
are being measured.
for example, in dementia8
so the outcomes measured might need to be extended to a wider group. Similarly, at a
societal level, if an aim of the study is to influence resource allocation between different types of treatment then economic outcomes
will need to be included.9
References
What can you learn from this BMJ paper? Read Leanne Tite's Paper+