Using Recessions to Gauge Physician Induced Demand: The Case of C-sections
Discussant: Adam Leive
In Florida, the unadjusted c-section rate for all patients increased from 37.8% in 2005 to 41.1% in 2013. A number of studies attribute the use of c-sections to physician discretion. For instance, Epstein and Nicholson (2009), using a physician-level model on deliveries in Florida and New York, find that variation in c-section rates across physicians within a market is about twice as large as variation between markets. Gruber et al. (1999), Alin et al. (2015), Alexander (2015) and Foo et al. (2017) all find that pay differences result in variations in c-section rates, but Grant (2005, 2008) disputes these findings.
Using Florida discharge data aggregated to the physician level, we examine the impacts of changes in county unemployment rates on various forms of demand inducement. We control for hospital-specific and county-specific characteristics, as well as year fixed effects and physician fixed effects. We find that even after accounting for attributes of patient risk, c-section use was significantly higher during the Great Recession. Preliminary estimation results also indicate that physicians’ adjusted c-section rates increased during the Great Recession among physicians who treat a higher share of privately insured patients. Results also show that risk-adjusted c-section rates were lower for physicians practicing in teaching hospitals. In addition, we find that total physician volume was not significantly impacted by the recession, so these effects cannot be attributed to declining birthrates. While overall patient volume did not significantly change over time, the patient insurance mix changed substantially; the proportion of patients covered by private insurance decreased from 45.3% in 2005 to 39.8% by 2013. During the same period, proportion of patients covered by Medicaid went up 46.6% to 53.1%. Currently, we are in the process of exploring the effects of physician experience, education and gender as well as hospital financial characteristics.
Full Papers:
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