Statistical issues in the design and analysis of expertise-based randomized clinical trials

Area of Science:

• Clinical Trials Methodology
• Surgical Research
• Biostatistics

Background:

• Conventional randomized clinical trials (RCTs) face challenges like procedural crossovers and differential expertise bias.
• Differential expertise bias occurs when clinicians have varying familiarity with experimental versus standard treatments, skewing results.
• Clinician recruitment and patient retention can be hindered in conventional RCTs due to limitations on treatment choice.

Purpose of the Study:

• To evaluate the expertise-based design as an alternative to conventional RCTs.
• To compare the relative efficiency of estimating treatment effects between expertise-based and conventional designs.
• To explore how clinician expertise influences treatment effect estimation and patient outcomes.

Main Methods:

• Proposed an expertise-based design where patients are randomized to clinicians, who then manage all their assigned patients with their preferred intervention.
• Analyzed the potential for reduced procedural crossovers and improved clinician recruitment compared to conventional RCTs.
• Examined the impact of confounding clinician effects on treatment effect estimation and assessed potential biases, including differential expertise bias.

Main Results:

• The expertise-based design may mitigate differential expertise bias inherent in conventional RCTs.
• This design acknowledges and potentially leverages individual clinical preferences, which may enhance clinician and patient recruitment.
• While potentially introducing confounding, the expertise-based design's improved patient outcomes can sometimes offset a higher standard error in treatment effect estimation.

Conclusions:

• The expertise-based design offers a viable alternative to conventional RCTs, particularly in fields with significant inter-clinician variability, such as surgery.
• This design may lead to more efficient and less biased estimation of treatment effects by accounting for clinician expertise.
• Further investigation into the expertise-based design is warranted, especially for complex procedures like tibial fracture surgery, to optimize clinical trial efficiency and patient care.