Point of View: The importance of Leadership towards universal health coverage in Low Income Countries

Universal health coverage—defined as access to the full range of the most appropriate health care and technology for all people at the lowest possible price or with social health protection—was the goal of the 1978 Alma-Ata Conference on Primary Health Care in Kazakhstan. Many low-income (developing) countries are currently unable to reach this goal despite having articulated the same in their health-related documents. In this paper we argue that, over 30 years on, inadequate political and technical leadership has prevented the realization of universal health coverage in low-income countries

Magnetic Resonance Imaging in Malawi: Contributions to Clinical Care, Medical Education and Biomedical Research

Advanced medical imaging technologies are generally unavailable in low income, tropical settings despite the reality that neurologic disorders are disproportionately common in such environments. Through a series of donations as well as extramural research funding support, an MRI facility opened in Blantyre, Malawi in July 2008. Resulting opportunities for studying common tropical disorders, such as malaria and schistosomiasis, in vivo are promising. The subsequent improvements in local patient care were expected and exceptional and include major revisions in basic care protocols that may eventually impact care protocols at facilities in the region that do not have recourse to MRI. In addition, advanced neuroimaging technology has energized the medical education system, possibly slowing the brain drain. Advanced technologies, though potentially associated with significant fiscal opportunity costs, may bring unexpected and extensive benefits to the healthcare and medical education systems involved

Surveillance Programme of IN-patients and Epidemiology (SPINE): implementation of an electronic data collection tool within a large hospital in Malawi.

Miguel Sanjoaquin and colleagues describe their experience of setting up an electronic patient records system in a large referral hospital in Blantyre, Malawi

Morbidity, mortality, and HIV prevalence.

<p>Morbidity, mortality, and HIV prevalence.</p

Number of admissions (bars) and its proportion of all admissions (lines, with 95% confidence intervals).

<p>Number of admissions (bars) and its proportion of all admissions (lines, with 95% confidence intervals).</p

Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa

HIV modelling and economic analyses have had a prominent role in guiding programmatic responses to HIV in sub-Saharan Africa. However, there has been little reflection on how the HIV modelling field might develop in future. HIV modelling should more routinely align with national government and ministry of health priorities, recognising their legitimate mandates and stewardship responsibilities, for HIV and other wider health programmes. Importance should also be placed on ensuring collaboration between modellers, and that joint approaches to addressing modelling questions, becomes the norm rather than the exception. Such an environment can accelerate translation of modelling analyses into policy formulation because areas where models agree can be prioritised for action, whereas areas over which uncertainty prevails can be slated for additional study, data collection, and analysis. HIV modelling should increasingly be integrated with the modelling of health needs beyond HIV, particularly in allocative efficiency analyses, where focusing on one disease over another might lead to worse health overall. Such integration might also enhance partnership with national governments whose mandates extend beyond HIV. Finally, we see a need for there to be substantial and equitable investment in capacity strengthening within African countries, so that African researchers will increasingly be leading modelling exercises. Building a critical mass of expertise, strengthened through external collaboration and knowledge exchange, should be the ultimate goal

Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa

HIV modelling and economic analyses have had a prominent role in guiding programmatic responses to HIV in sub-Saharan Africa. However, there has been little reflection on how the HIV modelling field might develop in future. HIV modelling should more routinely align with national government and ministry of health priorities, recognising their legitimate mandates and stewardship responsibilities, for HIV and other wider health programmes. Importance should also be placed on ensuring collaboration between modellers, and that joint approaches to addressing modelling questions, becomes the norm rather than the exception. Such an environment can accelerate translation of modelling analyses into policy formulation because areas where models agree can be prioritised for action, whereas areas over which uncertainty prevails can be slated for additional study, data collection, and analysis. HIV modelling should increasingly be integrated with the modelling of health needs beyond HIV, particularly in allocative efficiency analyses, where focusing on one disease over another might lead to worse health overall. Such integration might also enhance partnership with national governments whose mandates extend beyond HIV. Finally, we see a need for there to be substantial and equitable investment in capacity strengthening within African countries, so that African researchers will increasingly be leading modelling exercises. Building a critical mass of expertise, strengthened through external collaboration and knowledge exchange, should be the ultimate goal