To Explain or to Predict: Important Aspect to Consider Also in Orthopaedics: Response
Authors: Domb BG, Chen SL, Go CC, Shapira J, Rosinsky PJ, Meghpara MB, Maldonado DR, Lall AC
DOI: 10.1177/03635465211043973
Background
This response article highlights the critical distinction between explaining outcomes (understanding causal factors) and predicting outcomes (forecasting patient trajectories) in orthopaedic surgery, particularly hip arthroscopy.
Methods
The authors reflect on prior studies and advocate for increased use of predictive analytics to enhance clinical decision-making.
Key Findings
- Predictive models can inform individualized treatment plans and improve patient counseling.
- More research is needed to integrate predictive tools effectively into orthopaedic practice.
Conclusions
A dual focus on explanation and prediction will drive advances in patient-specific care and optimize surgical outcomes.
What Does This Mean for Providers?
- Providers should incorporate predictive analytics to complement traditional explanatory models for better surgical planning and patient counseling.
- Understanding both the “why” and the “what next” regarding patient outcomes can improve shared decision-making and tailor treatments.
- Investing in research and training on predictive tools will be important for the future of orthopaedic care.