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Practice Variation, Bias, and Experiential Learning in Cesarean Delivery: A Data‐Based System Dynamics Approach

Practice Variation, Bias, and Experiential Learning in Cesarean Delivery: A Data‐Based System... Objectives To simulate physician‐driven dynamics of delivery mode decisions (scheduled cesarean delivery (CD) vs. vaginal delivery (VD) vs. unplanned CD after labor), and to evaluate a behavioral theory of how experiential learning leads to emerging bias toward more CD and practice variation across obstetricians. Data Sources/Study Setting Hospital discharge data on deliveries performed by 300 randomly selected obstetricians in Florida who finished obstetrics residency and started practice after 1991. Study Design We develop a system dynamics simulation model of obstetricians' delivery mode decision based on the literature of experiential learning. We calibrate the model and investigate the extent to which the model replicates the data. Principal Findings Our learning‐based simulation model replicates the empirical data, showing that physicians are more likely to schedule CD as they practice longer. Variation in CD rates is related to the way that physicians learn from outcomes of past decisions and accumulate experience. Conclusions The repetitive nature of medical decision making, learning from past practice, and accumulating experience can account for increases in CD decisions and practice variation across physicians. Policies aimed at improving medical decision making should account for providers' feedback‐based learning mechanisms. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Health Services Research Wiley

Practice Variation, Bias, and Experiential Learning in Cesarean Delivery: A Data‐Based System Dynamics Approach

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References (54)

Publisher
Wiley
Copyright
© Health Research and Educational Trust
ISSN
0017-9124
eISSN
1475-6773
DOI
10.1111/1475-6773.12040
pmid
23398502
Publisher site
See Article on Publisher Site

Abstract

Objectives To simulate physician‐driven dynamics of delivery mode decisions (scheduled cesarean delivery (CD) vs. vaginal delivery (VD) vs. unplanned CD after labor), and to evaluate a behavioral theory of how experiential learning leads to emerging bias toward more CD and practice variation across obstetricians. Data Sources/Study Setting Hospital discharge data on deliveries performed by 300 randomly selected obstetricians in Florida who finished obstetrics residency and started practice after 1991. Study Design We develop a system dynamics simulation model of obstetricians' delivery mode decision based on the literature of experiential learning. We calibrate the model and investigate the extent to which the model replicates the data. Principal Findings Our learning‐based simulation model replicates the empirical data, showing that physicians are more likely to schedule CD as they practice longer. Variation in CD rates is related to the way that physicians learn from outcomes of past decisions and accumulate experience. Conclusions The repetitive nature of medical decision making, learning from past practice, and accumulating experience can account for increases in CD decisions and practice variation across physicians. Policies aimed at improving medical decision making should account for providers' feedback‐based learning mechanisms.

Journal

Health Services ResearchWiley

Published: Apr 1, 2013

Keywords: ; ; ; ;

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