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Published on: September 20, 2019
Optimizing the design of invasive placebo interventions in randomized controlled trials
S Cousins1,2, N S Blencowe1,2,3, C Tsang1,2
1National Institute for Health Research (NIHR) Biomedical Research Centre at University Hospitals Bristol NHS Foundation Trust and University of Bristol, Surgical Innovation Theme.
This study introduces the DITTO framework to guide the design of invasive placebo interventions in randomized controlled trials (RCTs). It systematically addresses risks and optimization strategies for effective blinding in surgical trials.
Area of Science:
- Medical Research Methodology
- Clinical Trial Design
- Surgical Interventions
Background:
- Placebo-controlled trials are crucial for evaluating healthcare interventions but pose design challenges for invasive procedures like surgery.
- Designing effective placebos for invasive interventions requires understanding treatment components, patient risks, and blinding strategies.
- Existing guidance for invasive placebo interventions in randomized controlled trials (RCTs) is lacking.
Purpose of the Study:
- To develop a framework for optimizing the design and delivery of invasive placebo interventions in randomized controlled trials (RCTs).
Main Methods:
- A preliminary framework was created by reviewing literature to expand intervention deconstruction typologies and identify placebo optimization strategies.
- The framework was refined through consultations with stakeholders in surgical trials, consensus methodology, and medical ethics.
Main Results:
- The developed DITTO (Deconstruct, Identify, Take out, Think, Optimize) framework comprises five stages for designing invasive placebos.
- DITTO guides the systematic deconstruction of treatments, identification of critical elements, risk/feasibility assessment, and placebo optimization for blinding.
Conclusions:
- The DITTO framework provides a systematic approach to invasive placebo composition, considering risk, feasibility, and optimization.
- Implementing DITTO can enhance the quality of randomized controlled trials, supporting evidence-based healthcare interventions.
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