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Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs

The public sector is becoming increasingly appealing. In the context of declining public money to support health studies and public health interventions, public–private partnerships with entities (including government agencies and scientific research institutes) are becoming increasingly important....

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Detalles Bibliográficos
Autores principales: Heydari, Mohammad, Lai, Kin Keung, Shi, Victor, Xiao, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859255/
https://www.ncbi.nlm.nih.gov/pubmed/36673929
http://dx.doi.org/10.3390/ijerph20021175
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author Heydari, Mohammad
Lai, Kin Keung
Shi, Victor
Xiao, Feng
author_facet Heydari, Mohammad
Lai, Kin Keung
Shi, Victor
Xiao, Feng
author_sort Heydari, Mohammad
collection PubMed
description The public sector is becoming increasingly appealing. In the context of declining public money to support health studies and public health interventions, public–private partnerships with entities (including government agencies and scientific research institutes) are becoming increasingly important. When forming this type of cooperation, the participants highlight synergies between the private partners and the public’s missions or goals. The tasks of private and public sector actors, on the other hand, frequently diverge significantly. The integrity and honesty of public officials, institutions, trust, and faith in those individuals and institutions may all be jeopardized by these collaborations. In this study, we use the institutional corruption framework to highlight systemic concerns raised by PPPs affiliated with the governments of one of South Asia’s countries. Overall analytical frameworks for such collaborations tend to downplay or disregard these systemic impacts and their ethical implications, as we argue. We offer some guidelines for public sector stakeholders that want to think about PPPs in a more systemic and analytical way. Partnership as a default paradigm for engagement with the private sector needs to be reconsidered by public sector participants. They also need to be more vocal about which goals they can and cannot fulfill, given the limitations of public financing resources.
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spelling pubmed-98592552023-01-21 Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs Heydari, Mohammad Lai, Kin Keung Shi, Victor Xiao, Feng Int J Environ Res Public Health Article The public sector is becoming increasingly appealing. In the context of declining public money to support health studies and public health interventions, public–private partnerships with entities (including government agencies and scientific research institutes) are becoming increasingly important. When forming this type of cooperation, the participants highlight synergies between the private partners and the public’s missions or goals. The tasks of private and public sector actors, on the other hand, frequently diverge significantly. The integrity and honesty of public officials, institutions, trust, and faith in those individuals and institutions may all be jeopardized by these collaborations. In this study, we use the institutional corruption framework to highlight systemic concerns raised by PPPs affiliated with the governments of one of South Asia’s countries. Overall analytical frameworks for such collaborations tend to downplay or disregard these systemic impacts and their ethical implications, as we argue. We offer some guidelines for public sector stakeholders that want to think about PPPs in a more systemic and analytical way. Partnership as a default paradigm for engagement with the private sector needs to be reconsidered by public sector participants. They also need to be more vocal about which goals they can and cannot fulfill, given the limitations of public financing resources. MDPI 2023-01-09 /pmc/articles/PMC9859255/ /pubmed/36673929 http://dx.doi.org/10.3390/ijerph20021175 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Heydari, Mohammad
Lai, Kin Keung
Shi, Victor
Xiao, Feng
Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs
title Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs
title_full Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs
title_fullStr Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs
title_full_unstemmed Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs
title_short Public Health Risk Evaluation through Mathematical Optimization in the Process of PPPs
title_sort public health risk evaluation through mathematical optimization in the process of ppps
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859255/
https://www.ncbi.nlm.nih.gov/pubmed/36673929
http://dx.doi.org/10.3390/ijerph20021175
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