Published 9 September 2009, doi:10.1136/bmj.b3603
Cite this as: BMJ 2009;339:b3603

Endgames

Statistical question

Intention to treat analyses

Philip M Sedgwick, senior lecturer

1 St George’s Hospital, University of London, London SW17 0RE

p.sedgwick{at}sgul.ac.uk

A randomised double blind controlled trial compared the efficacy and tolerability of fluoxetine with paroxetine in patients with major depression. Owing to adverse effects, some patients in each treatment group changed medication during the study. Treatment groups were compared using the intention to treat principle.

Which one of the following statements best describes the principle of intention to treat?

a) All patients compared received the treatment the recruiting clinician had originally intended prior to trial recruitment.
b) The two groups of patients were compared on the basis of the treatment they eventually received.
c) The two groups of patients were compared on the basis of the treatment regimen assigned at start of the trial.
d) Patients were only included in the analyses if they completed the treatment originally allocated.

Answer

c—Intention to treat analysis compares all patients on the basis of the treatment group to which they were originally randomly allocated, rather than according to the treatment eventually administered. This principle is applied regardless of whether patients actually started the treatment allocated, subsequently withdrew from treatment, deviated from treatment protocol, or received a different treatment. Intention to treat analysis, therefore, maintains the comparability in potential confounding factors achieved by random allocation. Confounding factors are those that might influence outcome, such as demographics, prognostic factors, and characteristics that may influence whether someone participates in or withdraws from a trial. Providing the sample is large enough, any differences between treatment groups at the end of the study will be owing to differences in treatment and not be the result of potential confounding factors.

With the introduction of the Consolidated Standards of Reporting Trials (CONSORT) guidelines, intention to treat analysis has become standard practice when analysing results from clinical trials. The CONSORT guidelines encompass various initiatives and were developed in order to alleviate problems arising from inadequate reporting of randomised controlled trials.

Nonetheless, the intention to treat principle is not without its critics. The reasoning behind intention to treat analysis is primarily pragmatic, in that this approach probably reflects what happens in clinical practice—patients may not start, complete, or continue with their prescribed treatment. Intention to treat analysis may, therefore, provide an assessment of the practical impact of being given a treatment.

Answer a is false because patients were assigned treatment using random allocation. This approach removes allocation bias, namely systematic differences in characteristics of those assigned to treatment groups when the researcher(s) or clinician(s) chose a patient’s treatment.

Answers b and d are false by definition. Intention to treat analyses include all patients in the treatment groups to which they were originally randomly allocated, regardless of which treatment they received or whether they completed the treatment regimen.

Cite this as: BMJ 2009;339:b3603


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