Clinical trials : journal of the Society for Clinical Trials
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There is growing consensus that the US clinical trials system is broken, with trial costs and complexity increasing exponentially, and many trials failing to accrue. Yet, concerns about the expense and failure rate of randomized trials are only the tip of the iceberg; perhaps what should worry us most is the number of trials that are not even considered because of projected costs and poor accrual. Several initiatives, including the Clinical Trials Transformation Initiative and the "Sensible Guidelines Group" seek to push back against current trends in clinical trials, arguing that all aspects of trials-including design, approval, conduct, monitoring, analysis, and dissemination-should be based on evidence rather than contemporary norms. ⋯ The second two methodologic fixes aim to shed barriers to accrual, either by cluster randomization of clinicians (in the case of modifications to existing treatment) or by early consent, where patients are offered the chance of being randomly selected to be offered a novel intervention if disease progresses at a subsequent point. Such solutions may be partial, or result in a new set of problems of their own. Yet, the current crisis in clinical trials mandates innovative approaches: randomized trials have resulted in enormous benefits for patients, and we need to ensure that they continue to do so.
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Randomized Controlled Trial
Value of information analysis optimizing future trial design from a pilot study on catheter securement devices.
Value of information analysis has been proposed as an alternative to the standard hypothesis testing approach, which is based on type I and type II errors, in determining sample sizes for randomized clinical trials. However, in addition to sample size calculation, value of information analysis can optimize other aspects of research design such as possible comparator arms and alternative follow-up times, by considering trial designs that maximize the expected net benefit of research, which is the difference between the expected cost of the trial and the expected value of additional information. ⋯ The value of information approach allows efficient trial design by maximizing the expected net benefit of additional research. This approach should be considered early in the design of randomized clinical trials.