In 2008, Vian reported an increasing interest in understanding how corruption affects healthcare outcomes and asked what could be done to combat corruption in the health sector. Eleven years later, corruption is seen as a heterogeneous mix of activity, extensive and expensive in terms of loss of productivity, increasing inequity and costs, but with few examples of programmes that have successfully tackled corruption in low-income or middle-income countries. The commitment, by multilateral organisations and many governments to the Sustainable Development Goals and Universal Health Coverage has renewed an interest to find ways to tackle corruption within health systems. These efforts must, however, begin with a critical assessment of the existing theoretical models and approaches that have underpinned action in the health sector in the past and an assessment of the potential of innovations from anticorruption work developed in sectors other than health. To that end, this paper maps the key debates and theoretical frameworks that have dominated research on corruption in health. It examines their limitations, the blind spots that they create in terms of the questions asked, and the capacity for research to take account of contextual factors that drive practice. It draws on new work from heterodox economics which seeks to target anticorruption interventions at practices that have high impact and which are politically and economically feasible to address. We consider how such approaches can be adopted into health systems and what new questions need to be addressed by researchers to support the development of sustainable solutions to corruption. We present a short case study from Bangladesh to show how such an approach reveals new perspectives on actors and drivers of corruption practice. We conclude by considering the most important areas for research and policy.

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In the absence of an efficacious and affordable vaccine, the current crisis of COVID-19 is likely to be a long drawn one for many developing countries. In Bangladesh, where the entire population is susceptible and strict lockdown has been relaxed (as of May 31 st 2020) due to concerns over saving livelihoods, the best available resources and capacities in the country have to be mobilized for an integrated and adaptive response strategy. In this paper we argue that a suitable response strategy for a country with highly constrained health system, must consider how response components will be delivered at scale, along with what can be delivered. In order to save maximum number of lives, an optimal strategy will be one that is able to iteratively select the most feasible set of health response and the network of organizations that can deliver most effectively at scale. This might require thinking outside of the conventional vertical network of public health system. Given its history of high-capacity non-government organizations in Bangladesh, it is likely that there are multiple alternative horizontal network options for delivering any set of response interventions. In fact many horizontal networks are already actively engaged in COVID-19 response work. The goal should be to identify and coordinate these networks, create new networks, and embed mechanisms for scaling up what works and scaling down what does not work. For a rapidly escalating and unpredictable crisis such as COVID-19, an adaptive response strategy is needed which allows for old and new networks of organizations to align and work collectively with minimum loss of lives.