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A design process for using normative models in shared decision making: a case study in the context of prenatal
Sivan Rapaport1, Moshe Leshno, Lior Fink
1Department of Industrial Engineering and Management & Telekom Innovation Laboratories, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Developing a new process for shared decision making (SDM) and decision support systems (DSS) can improve patient-physician communication. This approach aids in applying normative models for complex medical choices.
Area of Science:
- Decision Analysis
- Medical Informatics
- Health Communication
Background:
- Shared decision making (SDM) aims to involve patients actively in treatment choices.
- Current communication methods struggle to accurately gauge patient preferences during consultations.
- Patients seeking greater involvement in medical decision making (MDM) face challenges in expressing their preferences effectively.
Purpose of the Study:
- To enhance patient-physician communication quality through a novel SDM design process.
- To demonstrate the application of this process using a normative model in a specific medical context.
- To improve the utilization of normative models in clinical practice.
Main Methods:
- Defined the medical situation and decision problem.
- Developed/identified and adapted a normative model.
- Conducted empirical analysis and developed decision support systems (DSS) tools.
- Applied the general normative theory of MDM under uncertainty to a medical-financial dilemma.
Main Results:
- A systematic design process for SDM was established.
- The process was demonstrated through a case study on choosing a physician for amniocentesis.
- Decision support systems (DSS) were developed to facilitate SDM.
Conclusions:
- Implementing normative models in SDM presents challenges regarding model goals and prediction vs. recommendation.
- The validity of using normative models for individuals not adhering to their assumptions requires further consideration.
- The study highlights the complexities in integrating normative decision theory into practical SDM.
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