Practice variation, bias, and experiential learning in cesarean delivery: a data-based system dynamics approach
Navid Ghaffarzadegan1, Andrew J Epstein, Erika G Martin
1Engineering Systems Division, Massachusetts Institute of Technology, Boston, MA, USA.
Health Services Research
|February 13, 2013
Summary
Physician experience influences delivery decisions, with longer practice correlating to more scheduled cesarean deliveries (CD). Learning from past outcomes drives this bias and contributes to practice variations among obstetricians.
Area of Science:
- Obstetrics and Gynecology
- Health Services Research
- Behavioral Medicine
Background:
- Physician decision-making in delivery mode (vaginal delivery vs. cesarean delivery) is complex.
- Experiential learning is a potential factor influencing practice patterns and variations.
Purpose of the Study:
- To simulate physician-driven delivery mode choices.
- To evaluate how experiential learning impacts cesarean delivery (CD) bias and practice variation.
Main Methods:
- Developed a system dynamics simulation model of obstetrician delivery decisions.
- Utilized hospital discharge data from 300 Florida obstetricians practicing post-1991.
- Calibrated the model and assessed its replication of empirical data.
Main Results:
- The simulation model successfully replicated empirical data.
- Physicians showed an increased likelihood of scheduling cesarean deliveries (CD) with more practice experience.
- Practice variation in CD rates was linked to physicians' learning from past outcomes.
Conclusions:
- Repetitive medical decision-making and learning from experience can explain increased CD rates and physician practice variation.
- Healthcare policies should consider provider feedback-based learning mechanisms to improve decision-making.
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