Three essays on health economics and policy interventions

This thesis examines the health and economic impacts of policy interventions in Colombia through three distinct studies. It explores critical policy interventions in the Colombian healthcare system, focusing on the implications for health outcomes, cost management, and risk adjustment mechanisms. Ea...

Full description

Autores:
Arias Camacho, Camilo Antonio
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/75655
Acceso en línea:
https://hdl.handle.net/1992/75655
Palabra clave:
Economía de la salud
Salud al nacer
Ajuste de riesgo
Inclusiones UPC
Economía
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International
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dc.title.none.fl_str_mv Three essays on health economics and policy interventions
title Three essays on health economics and policy interventions
spellingShingle Three essays on health economics and policy interventions
Economía de la salud
Salud al nacer
Ajuste de riesgo
Inclusiones UPC
Economía
title_short Three essays on health economics and policy interventions
title_full Three essays on health economics and policy interventions
title_fullStr Three essays on health economics and policy interventions
title_full_unstemmed Three essays on health economics and policy interventions
title_sort Three essays on health economics and policy interventions
dc.creator.fl_str_mv Arias Camacho, Camilo Antonio
dc.contributor.advisor.none.fl_str_mv Bardey, David
Laajaj, Rachid
dc.contributor.author.none.fl_str_mv Arias Camacho, Camilo Antonio
dc.contributor.jury.none.fl_str_mv Riascos Villegas, Álvaro José
Rodríguez, Paul
Prada Ríos, Sergio Iván
dc.subject.keyword.none.fl_str_mv Economía de la salud
Salud al nacer
Ajuste de riesgo
Inclusiones UPC
topic Economía de la salud
Salud al nacer
Ajuste de riesgo
Inclusiones UPC
Economía
dc.subject.themes.spa.fl_str_mv Economía
description This thesis examines the health and economic impacts of policy interventions in Colombia through three distinct studies. It explores critical policy interventions in the Colombian healthcare system, focusing on the implications for health outcomes, cost management, and risk adjustment mechanisms. Each paper addresses a different dimension of the healthcare landscape, analyzing the complex interplay between health policy, economic incentives, and institutional design. The first paper investigates the impact of the end of armed conflict on health at birth, leveraging the 2016 ceasefire between the Colombian government and FARC guerrillas as a natural experiment. Using a difference-in-differences approach, the study finds nuanced effects on birth outcomes. The conflict's end resulted in a rise in very low birth weights, likely due to the increased survival of weaker newborns, while reduced maternal stress improved the likelihood of higher birth weights. These effects were most pronounced in municipalities where post-conflict rebuilding efforts were concentrated, underscoring the significance of institutional capacity in shaping health outcomes. Additionally, the study reveals an increase in the likelihood of births being attended by medical personnel, suggesting improved access to healthcare services following the resolution of the conflict. The second paper shifts focus to the economic side of healthcare, examining the transition from a retrospective to a prospective drug reimbursement scheme for insurers. Under the retrospective system, insurers were reimbursed for the actual costs of drugs, but the uncertainty around timing and amounts led to inefficiencies. The study finds that the shift to a prospective payment scheme—where insurers receive a fixed amount per enrollee—had mixed effects. While it increased the quantity of low-sales drugs and reduced prices, it also prompted strategic responses from insurers, particularly in managing drugs still under the retrospective system. These strategic behaviors, which include increasing sales of non-prospective drugs, highlight the complexities of cost control under different reimbursement structures and suggest that the design of payment schemes can significantly influence healthcare spending patterns. The third paper addresses the challenge of risk selection in health insurance markets, where inaccurate risk adjustment formulas can lead to unfair compensation for insurers and reduced access to care for high-risk groups. This paper proposes a novel econometric methodology for selecting variables in risk adjustment formulas, balancing the need for accurate risk prediction with the risks of overcompensation and the potential for strategic behaviors like upcoding. By analyzing a rich dataset from Colombia, the study identifies an optimal set of variables regulators can use to fine-tune risk adjustment models. This approach provides a framework for minimizing risk selection while maintaining cost control.
publishDate 2024
dc.date.issued.none.fl_str_mv 2024-11-26
dc.date.accessioned.none.fl_str_mv 2025-01-24T21:27:34Z
dc.date.available.none.fl_str_mv 2025-01-24T21:27:34Z
dc.type.none.fl_str_mv Trabajo de grado - Doctorado
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dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.en.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
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eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 83 páginas
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad de los Andes
dc.publisher.program.none.fl_str_mv Doctorado en Economía
dc.publisher.faculty.none.fl_str_mv Facultad de Economía
publisher.none.fl_str_mv Universidad de los Andes
institution Universidad de los Andes
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The first paper investigates the impact of the end of armed conflict on health at birth, leveraging the 2016 ceasefire between the Colombian government and FARC guerrillas as a natural experiment. Using a difference-in-differences approach, the study finds nuanced effects on birth outcomes. The conflict's end resulted in a rise in very low birth weights, likely due to the increased survival of weaker newborns, while reduced maternal stress improved the likelihood of higher birth weights. These effects were most pronounced in municipalities where post-conflict rebuilding efforts were concentrated, underscoring the significance of institutional capacity in shaping health outcomes. Additionally, the study reveals an increase in the likelihood of births being attended by medical personnel, suggesting improved access to healthcare services following the resolution of the conflict. The second paper shifts focus to the economic side of healthcare, examining the transition from a retrospective to a prospective drug reimbursement scheme for insurers. Under the retrospective system, insurers were reimbursed for the actual costs of drugs, but the uncertainty around timing and amounts led to inefficiencies. The study finds that the shift to a prospective payment scheme—where insurers receive a fixed amount per enrollee—had mixed effects. While it increased the quantity of low-sales drugs and reduced prices, it also prompted strategic responses from insurers, particularly in managing drugs still under the retrospective system. These strategic behaviors, which include increasing sales of non-prospective drugs, highlight the complexities of cost control under different reimbursement structures and suggest that the design of payment schemes can significantly influence healthcare spending patterns. The third paper addresses the challenge of risk selection in health insurance markets, where inaccurate risk adjustment formulas can lead to unfair compensation for insurers and reduced access to care for high-risk groups. This paper proposes a novel econometric methodology for selecting variables in risk adjustment formulas, balancing the need for accurate risk prediction with the risks of overcompensation and the potential for strategic behaviors like upcoding. By analyzing a rich dataset from Colombia, the study identifies an optimal set of variables regulators can use to fine-tune risk adjustment models. 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