The impact of the COVID-19 pandemic on healthcare access and utilisation in South Sudan: a cross-sectional mixed methods study.

BACKGROUND: Indirect effects of the COVID-19 pandemic on communities in fragile and conflict-affected settings may be severe due to reduced access and use of healthcare, as happened during the 2015 Ebola Virus Disease outbreak. Achieving a balance between short-term emergency response and addressing long-term health needs is particularly challenging in fragile and conflict-affected settings such as South Sudan, given the already significant barriers to accessing healthcare for the population. This study sought to characterise the effect of COVID-19 on healthcare access and South Sudan's healthcare response. This can inform efforts to mitigate the potential impacts of COVID-19 or other epidemiological threats, and contribute to understanding how these may be balanced for greater health system resilience in fragile contexts. METHODS: We conducted a mixed methods study in three of South Sudan's states, combining data from a cross-sectional quantitative household survey with qualitative interviews and Focus Group Discussions. RESULTS: Even though some fears related to COVID-19 were reported, we found these did not greatly dissuade people from seeking care and do not yield significant consequences for health system programming in South Sudan. The pillars of the response focused on risk communication and community engagement were effective in reaching communities through different channels. Respondents and participants reported behaviour changes that were in line with public health advice. We also found that the implementation of COVID-19 response activities sometimes created frictions between the national government and international health actors, and that COVID-19 caused a greater reliance on, and increased responsibility for, international donors for health planning. CONCLUSIONS: Given the fact that global priorities on COVID-19 are greatly shifting, power dynamics between international health agencies and the national government may be useful to consider in further COVID-19 planning, particularly for the vaccine roll-out. South Sudan must now navigate a period of transition where COVID-19 vaccine roll-out continues and other domestic health burdens are re-prioritised.

A Model for Good Governance of Healthcare Technology Management in the Public Sector: Learning from Evidence-Informed Policy Development and Implementation in Benin.

Good governance (GG) is an important concept that has evolved as a set of normative principles for low- and middle-income countries (LMICs) to strengthen the functional capacity of their public bodies, and as a conditional prerequisite to receive donor funding. Although much is written on good governance, very little is known on how to implement it. This paper documents the process of developing a strategy to implement a GG model for Health Technology Management (HTM) in the public health sector, based on lessons learned from twenty years of experience in policy development and implementation in Benin. The model comprises six phases: (i) preparatory analysis, assessing the effects of previous policies and characterizing the HTM system; (ii) stakeholder identification and problem analysis, making explicit the perceptions of problems by a diverse range of actors, and assessing their ability to solve these problems; (iii) shared analysis and visioning, delineating the root causes of problems and hypothesizing solutions; (iv) development of policy instruments for pilot testing, based on quick-win solutions to understand the system's responses to change; (v) policy development and validation, translating the consensus solutions identified by stakeholders into a policy; and (vi) policy implementation and evaluation, implementing the policy through a cycle of planning, action, observation and reflection. The policy development process can be characterized as bottom-up, with a central focus on the participation of diverse stakeholders groups. Interactive and analytical tools of action research were used to integrate knowledge amongst actor groups, identify consensus solutions and develop the policy in a way that satisfies criteria of GG. This model could be useful for other LMICs where resources are constrained and the majority of healthcare technologies are imported.