Data and Code for: The Effects of a Large-Scale Mental Health Reform: Evidence from Brazil
Principal Investigator(s): View help for Principal Investigator(s) Mateus Dias, Catolica Lisbon School of Business and Economics; Luiz Felipe Fontes, Insper
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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submissao | 11/13/2023 12:43:PM |
Project Citation:
Dias, Mateus, and Fontes, Luiz Felipe. Data and Code for: The Effects of a Large-Scale Mental Health Reform: Evidence from Brazil. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-07-02. https://doi.org/10.3886/E195122V1
Project Description
Summary:
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This paper studies the Brazilian Psychiatric Reform, which reorganized the public mental health care provision by introducing mental health centers (CAPS) as a community-based substitute for inpatient care. Our research design exploits the roll-out of CAPS in a difference-in-differences framework. We show that these centers increased outpatient mental health care production and reduced psychiatric hospitalizations. These reductions were more pronounced for long-stay admissions and among patients with schizophrenia. We find that the savings implied by fewer admissions do not offset the cost of the policy. Also, the reform did not reduce mental health mortality and it increased violent crimes.
Scope of Project
Subject Terms:
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Mental health;
health policy;
deinstitutionalization;
public policy;
Brazil;
penrose
JEL Classification:
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D04 Microeconomic Policy: Formulation, Implementation, and Evaluation
H51 National Government Expenditures and Health
I18 Health: Government Policy; Regulation; Public Health
D04 Microeconomic Policy: Formulation, Implementation, and Evaluation
H51 National Government Expenditures and Health
I18 Health: Government Policy; Regulation; Public Health
Geographic Coverage:
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Brazil
Time Period(s):
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2002 – 2016
Collection Date(s):
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2018 – 2019
Universe:
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All Brazilian municipalities.
Data Type(s):
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administrative records data
Methodology
Data Source:
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Public data from the Brazilian Ministry of Health (DATASUS).
Unit(s) of Observation:
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Municipality x year
Geographic Unit:
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Municipality
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