Background: Healthcare corruption poses a significant threat to individuals, institutions, sectors, and states. Combating corruption is paramount for protecting patients, maintaining the healthcare system's integrity, and preserving public trust. As corruption evolves, takes new forms, and adapts to changing socio-political landscapes, understanding its manifestations is critical to developing effective anti-corruption strategies at individual and institutional levels.
Objective: The aim was to comprehensively collate the manifestations of different types of corruption in healthcare to illustrate prevailing patterns and trends and to provide policymakers, practitioners, and researchers with practical insights to inform research agendas, regulatory and governance strategies, and accountability measures.
Method: We conducted a narrative review of scientific articles published between 2013 and 2022 using keyword searches in SCOPUS and EBSCO. We utilized the corruption typology proposed by the European Union and Thompson's Institutional Corruption Framework to systematically identify manifestations across different corruption types. The Prisma scheme was employed to document the selection process and ensure reproducibility.
Findings: Bribery in medical service provision was the most frequently investigated form of corruption, revealing rather uniform manifestations. Misuse of high-level positions and networks and institutional corruption also received considerable attention, with a wide range of misconduct identified in institutional corruption. Extending the analysis to institutional corruption also deepened the understanding of misconduct in the context of improper marketing relations and highlighted the involvement of various stakeholders, including academia. The pandemic exacerbated the vulnerability of the healthcare sector to procurement corruption. Also, it fostered new types of misconduct related to the misuse of high-level positions and networks and fraud and embezzlement of medical drugs, devices, and services.
Conclusions: The review spotlights criminal actions by individuals and networks and marks a notable shift towards systemic misconduct within specific types of corruption. The findings highlight the necessity of customized anti-corruption strategies throughout the healthcare sector. These insights are crucial for policymakers, practitioners, and researchers in guiding the formulation of legal frameworks at local and global levels, governance strategies, and research priorities.
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http://dx.doi.org/10.1186/s13561-024-00530-6 | DOI Listing |
Nat Med
January 2025
Department of Neurosurgery, NYU Langone Health, New York, NY, USA.
The adoption of large language models (LLMs) in healthcare demands a careful analysis of their potential to spread false medical knowledge. Because LLMs ingest massive volumes of data from the open Internet during training, they are potentially exposed to unverified medical knowledge that may include deliberately planted misinformation. Here, we perform a threat assessment that simulates a data-poisoning attack against The Pile, a popular dataset used for LLM development.
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January 2025
Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129B, 1018 WS, Amsterdam, The Netherlands.
Anti-science movements brought more than public distrust in science. Perhaps even more worryingly, these movements are also associated with instances of harassment of-and violence against-scientists. However, virtually nothing is known about individuals likely to harass or harm scientists.
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December 2024
Department of Political Sciences and Law, Kyiv National University of Construction and Architecture, 31, Povitroflotsky Avenue, Kyiv, 03037, Ukraine.
Natl Sci Rev
January 2025
Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.
The long-term preservation of large volumes of infrequently accessed cold data poses challenges to the storage community. Deoxyribonucleic acid (DNA) is considered a promising solution due to its inherent physical stability and significant storage density. The information density and decoding sequence coverage are two important metrics that influence the efficiency of DNA data storage.
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December 2024
Law School, University of Wisconsin-Madison, Madison, WI, United States.
This article examines the landscape of Science, Technology, and Innovation policies in Central America, focusing on Nicaragua, Guatemala, Honduras, and El Salvador. These nations face significant challenges in leveraging STI for sustainable development, including financial constraints and limited resources. Additionally, Central America struggles with systemic issues such as corruption, violence, and high levels of emigration, further complicating efforts to advance STI.
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