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A Clinician's Guide to Conducting Research on Causal Effects
Vivian H Lyons1, Jamaica Rm Robinson2, Brianna Mills3
1Department of Health Behavior and Health Education, University of Michigan, Ann Arbor, Michigan; Harborview Injury Prevention & Research Center, University of Washington, Seattle, Washington.
Surgeons can improve patient care through research but often lack training in causal inference. This guide provides examples to bridge this gap, enabling better clinical evidence generation.
Area of Science:
- Medical Research
- Surgical Sciences
- Clinical Epidemiology
Background:
- Surgeons are well-positioned to conduct research for enhancing patient care.
- A significant gap exists in surgeons' training for producing causal evidence.
- Bridging this gap is crucial for evidence-based clinical practice.
Purpose of the Study:
- To address the training gap in causal inference for surgeons.
- To provide clinically relevant examples illustrating assumptions for causal estimates.
- To empower surgeons to generate higher-quality causal evidence.
Main Methods:
- The guide uses practical, clinically-focused examples.
- It details the assumptions necessary for causal inference in research.
- Focuses on translating theoretical concepts to surgical research settings.
Main Results:
- Provides a framework for understanding causal assumptions in surgical research.
- Illustrates how to apply these assumptions using real-world scenarios.
- Aims to enhance the rigor of clinical research conducted by surgeons.
Conclusions:
- Enhanced training in causal inference is vital for surgeons.
- This guide equips surgeons with tools to improve patient care through robust research.
- Facilitates the generation of reliable causal evidence in surgical practice.
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