Transparency International

Abstract: This article seeks to draw possible lessons for adaptation programmes in Bangladesh by examining whether cyclone preparedness and relief interventions are subject to corrupt practices. Based on a random sample survey of 278 households, three focus-group discussions and seven key-informant interviews, the article investigates the nature and extent of corruption in pre- and post-disaster interventions in Khulna before and after Cyclone Aila in May 2009. Ninety nine percent of households reported losses from corrupt practices. Post-disaster interventions (such as food aid and public works schemes) suffered from greater levels, and worse types, of corruption than pre-disaster interventions (such as cyclone warning systems and disaster-preparedness training). Using an asset index created using principal component analysis, the article assesses how corruption affected wealth quartiles. Ultra-poor households were affected more by corruption in pre-disaster interventions, the wealthiest quartile more in certain post-disaster interventions, in particular public works and non-governmental interventions. These findings may hold lessons for attempts to increase resilience as current adaptation measures mirror some cyclone preparedness and relief efforts.

Abstract: Corruption has been described as a disease. When corruption infiltrates global health, it can be particularly devastating, threatening hard gained improvements in human and economic development, international security, and population health. Yet, the multifaceted and complex nature of global health corruption makes it extremely difficult to tackle, despite its enormous costs, which have been estimated in the billions of dollars. In this forum article, we asked anti-corruption experts to identify key priority areas that urgently need global attention in order to advance the fight against global health corruption. The views shared by this multidisciplinary group of contributors reveal several fundamental challenges and allow us to explore potential solutions to address the unique risks posed by health-related corruption. Collectively, these perspectives also provide a roadmap that can be used in support of global health anti-corruption efforts in the post-2015 development agenda.

Abstract: In recent years, the fight against healthcare corruption has intensified. Estimates from the European Healthcare Fraud and Corruption Network calculate an approximate €56 billion annual loss to Europe as a result of corruption. To promote understanding of the complexity and interconnection of corrupt activities, we aim to present healthcare-related corruption typologies of the European Union and European Healthcare Fraud and Corruption Network. We subsequently link them to the typology of individual and institutional corruption introduced by Dennis Thompson in the context of investigating misconduct of US Congressional members. According to Thompson, individual corruption is the personal gain of individuals performing duties within an institution in exchange for nurturing private interests, while institutional corruption pertains to the failure of the institution in directing the individual's behaviour towards the achievement of the institution's primary purpose because the institutional design promotes the pursuit of individual goals. Effective anti-corruption activities not only require the enactment of anti-corruption laws but also the monitoring and, where appropriate, revision of institutional frameworks to prevent the undermining of the primary purposes of health systems or institutions. To gain further understanding of the similarities and differences of the three typologies, prime examples of corrupt activities in the health sector in the European Union and USA (along with their potential remedies) are provided. Linking corruption cases to Thompson's typology revealed that many corrupt activities may show elements of both individual and institutional corruption because they are intertwined, partly overlap and may occur jointly. Hence, sanctioning individual actors only does not target the problem.