Tackling Bias in Tobacco Cessation Studies: Expert Advice from Dr. Jamie Hartmann-Boyce
Episode Overview
Dr. Hartmann-Boyce provides practical insights into minimizing bias in tobacco cessation trials Detailed discussion on specific biases such as performance and detection bias Insights into ongoing work for tailored risk assessment in non-randomized trials Valuable recommendations for evidence-based interventions A must-listen for researchers, clinicians, and anyone interested in tobacco cessation interventions
So if we're talking smoking cessation we should always be assessing detection bias because the best way to minimize that issue with differential misreport is to biochemically validate.
Have you ever thought about the hidden biases in tobacco cessation trials? In this episode of 'Addiction Audio', Chloe Burke chats with Dr. Jamie Hartmann-Boyce about the new guidelines from the Cochrane Tobacco Addiction Group on how to spot and reduce bias in these studies. Dr. Hartmann-Boyce dives into the nitty-gritty of performance and detection biases, explaining how they can skew trial results and why it's crucial to maintain consistency across different reviews.
This isn't just about ticking boxes; it's about making sure that the findings we rely on to help people quit smoking are as accurate and reliable as possible. The conversation also touches on the unique challenges of non-randomized trials and the ongoing efforts to develop specific tools to assess their risks.
If you're a researcher, clinician, or someone interested in the science behind tobacco cessation, this episode offers practical tips and valuable insights to help you navigate the complex world of bias in clinical trials.