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Assessing Women's Preferences and Preference Modeling for Breast Reconstruction Decision-Making.
Clement S Sun1, Scott B Cantor2, Gregory P Reece3
1Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX ; Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.
A new study recommends the risk averse multiplicative model to help breast cancer patients choose reconstruction options. This model effectively quantifies patient preferences for outcomes like satisfaction and well-being, aiding decision-making.
Area of Science:
- Decision analysis
- Health outcomes research
- Patient-reported outcomes
Background:
- Women undergoing breast reconstruction face complex choices with conflicting factors.
- A unified measure is needed to simplify outcome assessment for patients.
Purpose of the Study:
- To develop and evaluate a quantitative method for summarizing patient preferences in breast reconstruction decisions.
- To identify the most effective preference model for aiding patient choice.
Main Methods:
- Utilized multiattribute utility theory with nine preference models.
- Elicited preferences from 36 women regarding satisfaction, well-being (breast, chest, abdominal, sexual), time, and cost using BREAST-Q.
- Participants ranked hypothetical reconstruction outcomes to assess model agreement.
Main Results:
- The risk averse multiplicative model showed the highest agreement with participant rankings (75.9%-78.9%).
- Median time for preference assessment was 34 minutes.
- A significant positive correlation was found between unequal attribute weighting and agreement.
Conclusions:
- The risk averse multiplicative model is recommended for modeling patient preferences in breast reconstruction.
- This model offers a reliable summary measure to support patient decision-making regarding reconstruction options.
