Data and Code for: Does Patient Demand Contribute to the Overuse of Prescription Drugs?
Principal Investigator(s): View help for Principal Investigator(s) Carolina Lopez, Brown University; Anja Sautmann, World Bank; Simone Schaner, University of Southern California
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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Lopez_Sautmann_Schaner_2020 | 01/25/2021 05:56:PM |
Project Citation:
Lopez, Carolina, Sautmann, Anja, and Schaner, Simone. Data and Code for: Does Patient Demand Contribute to the Overuse of Prescription Drugs? Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-12-17. https://doi.org/10.3886/E126722V1
Project Description
Summary:
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In an experiment in Mali, we test whether patients pressure providers to prescribe medical treatment they do not necessarily need. We varied patients’ information about a discount for antimalarial tablets and measured demand for both tablets and costlier antimalarial injections. We find evidence of patient-driven demand: informing patients about the discount, instead of letting doctors decide to share this information, increased discount use by 35 percent and overall malaria treatment by 10 percent. These marginal patients rarely had malaria, worsening the illness-treatment match. Providers did not use the information advantage to sell injections - their use fell in both information conditions.
Funding Sources:
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ESRC/DFID (ES/N00583X/1)
Scope of Project
Subject Terms:
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malaria treatment;
demand for prescription drugs;
healt care overuse;
doctor-patient interaction
JEL Classification:
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I12 Health Behavior
I18 Health: Government Policy; Regulation; Public Health
O12 Microeconomic Analyses of Economic Development
I12 Health Behavior
I18 Health: Government Policy; Regulation; Public Health
O12 Microeconomic Analyses of Economic Development
Geographic Coverage:
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Bamako and Kati, Mali
Time Period(s):
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5/2016 – 1/2017
Universe:
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Patients visiting 60 clinics in Bamako and neighboring Kati.
Data Type(s):
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experimental data;
survey data
Methodology
Unit(s) of Observation:
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Individual patients
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