Tracking global resources and capacity for health research: time to reassess strategies and investment decisions.

The COVID-19 pandemic and more recently the Monkeypox outbreak emphasize the urgency and importance of improving the availability and equitable distribution of resources for health research across rich and poor countries. Discussions about the persistent imbalances in resource allocation for health research between rich and poor countries are not new, but little or no progress has been made in redressing these imbalances over the years. This is critical not only for emergency preparedness, but for the worlds' ability to improve population health in an equitable manner. Concerned with the lack of progress in this area, Member States of the World Health Organization requested the establishment of a Global Observatory on Health Research and Development, with the aim of consolidating, monitoring and analyzing relevant information on health research and development, with a view to informing the coordination and prioritization of new investments. In this commentary, we highlight some of the striking disparities from the Observatory's analysis over the 5 years since its establishment and reflect on what is needed to overturn stagnant progress.

Taking stock of the availability and functions of National Ethics Committees worldwide.

BACKGROUND: National Ethics Committees (NECs) offer important oversight and guidance functions and facilitate public debate on bioethical issues. In an increasingly globalized world where technological advances, multi-national research collaborations, and pandemics are creating ethical dilemmas that transcend national borders, coordination and the joining of efforts among NECs are key. The purpose of this study is to take stock of the current NEC landscape, their varying roles and missions, and the range of bioethical topics on which they deliberated since their inception. METHODS: Data on the availability, functions, and ethical deliberations (publications) of NECs globally were gathered through a systematic search of NEC websites and through contacts known to the authors. The search was conducted in English, French, and Spanish. The data abstraction was done in Excel and included the NEC's country, region, functions, and deliberations on bioethical issues. Deliberation topics were classified into thematic categories through an iterative process of regrouping to arrive at the main set of themes. RESULTS: 124 NECs in 100 countries were identified. 44% of the NECs are in Europe and 47% are in high-income countries. Out of the 1108 retrieved publications, 40% were on bioethics in the context of research, followed by the clinic (28%) and public health issues (22%). The top five topics of these publications were: research ethics (124; 9%), genetics and genomics (62; 6%), organ transplantation (58; 5%), assisted reproductive technology (49; 4%), and end of life (36; 3%). CONCLUSION: Our study makes an important contribution to understanding the current interests and functions of NECs and the range of their bioethics deliberations. By making the data publicly available through this publication, it allows users to conduct tailored analyses and queries based on their interests, and to seek and strengthen collaboration and exchange. It also makes the case for the fruitfulness of developing and maintaining a global repository of current and new deliberations to more effectively advance this field for the greater good of humanity, research, and public health.

Resource allocation for biomedical research: analysis of investments by major funders.

BACKGROUND: Data on grants for biomedical research by 10 major funders of health research were collected from the World RePORT platform to explore what is being funded, by whom and where. This analysis is part of the World Health Organization Global Observatory on Health Research and Development's work with the overall aim to enable evidence-informed deliberations and decisions on new investments in health research and development. The analysis expands on the interactive data visualisations of these data on the Observatory's website and describes the methods used to enable the categorisation of grants by health categories using automated data-mining techniques. METHODS: Grants data were extracted from the World RePORT platform for 2016, the most recent year with data from all funders. A data-mining algorithm was developed in Java to categorise grants by health category. The analysis explored the distribution of grants by funder, recipient country and organisation, type of grant, health category, average grant duration, and the nature of collaborations between recipients of direct grants and the institutions they collaborated with. RESULTS: Out of a total of 69,420 grants in 2016, the United States of America's National Institutes of Health funded the greatest number of grants (52,928; 76%) and had the longest average grant duration (6 years and 10 months). Grants for research constituted 70.4% (48,879) of all types of grants, followed by grants for training (13,008; 18.7%) and meetings (2907; 4.2%). Of grant recipients by income group, low-income countries received only 0.2% (165) of all grants. Almost three-quarters of all grants were for non-communicable diseases (72%; 40,035), followed by communicable, maternal, perinatal and nutritional conditions (20%; 11,123), and injuries (6%; 3056). Only 1.1% of grants were for neglected tropical diseases and 0.4% for priority diseases on the WHO list of highly infectious (R&D blueprint) pathogens. CONCLUSIONS: The findings highlight the importance of considering funding decisions by other actors in future health research and capacity-strengthening decisions. This will not only improve efficiency and equity in allocating scarce resources but will also allow informed investment decisions that aim to support research on public health needs and neglected areas.

Applying a system dynamics modelling approach to explore policy options for improving neonatal health in Uganda.

BACKGROUND: The most recent reports on global trends in neonatal mortality continue to show alarmingly slow progress on improvements in neonatal mortality rates, with sub-Saharan Africa still lagging behind. This emphasised the urgent need to innovatively employ alternative solutions that take into account the intricate complexities of neonatal health and the health systems in which the various strategies operate. METHODS: In our first paper, we empirically explored the causes of the stagnating neonatal mortality in Uganda using a dynamic synthesis methodology (DSM) approach. In this paper, we completed the last three stages of DSM, which involved the development of a quantitative (simulation) model, using STELLA modelling software. We used statistical data to populate the model. Through brainstorming sessions with stakeholders, iterations to test and validate the model were undertaken. The different strategies and policy interventions that could possibly lower neonatal mortality rates were tested using what-if analysis. Sensitivity analysis was used to determine the strategies that could have a great impact on neonatal mortality. RESULTS: We developed a neonatal health simulation model (NEOSIM) to explore potential interventions that could possibly improve neonatal health within a health system context. The model has four sectors, namely population, demand for services, health of the mothers and choices of clinical care. It tests the effects of various interventions validated by a number of Ugandan health practitioners, including health education campaigns, free delivery kits, motorcycle coupons, kangaroo mother care, improving neonatal resuscitation and labour management skills, and interventions to improve the mothers health, i.e. targeting malaria, anaemia and tetanus. Among the tested interventions, the package with the highest impact on reducing neonatal mortality rates was a combination of the free delivery kits in a setting where delivery services were free and motorcycle coupons to take women to hospital during emergencies. CONCLUSIONS: This study presents a System Dynamics model with a broad and integrated view of the neonatal health system facilitating a deeper understanding of its current state and constraints and how these can be mitigated. A tool with a user friendly interface presents the dynamic nature of the model using 'what-if' scenarios, thus enabling health practitioners to discuss the consequences or effects of various decisions. Key findings of the research show that proposed interventions and their impact can be tested through simulation experiments thereby generating policies and interventions with the highest impact for improved healthcare service delivery.

Informing the establishment of the WHO Global Observatory on Health Research and Development: a call for papers.

In May 2013, the WHO Member States requested the WHO to establish a Global Observatory on Health Research and Development (R&D), as part of a strategic work-plan to promote innovation, build capacity, improve access, and mobilize resources to address diseases that disproportionately affect the world's poorest countries.The rationale for establishing a Global Observatory on Health R&D is to provide a mechanism to monitor and analyse health R&D resource flows, product pipelines, and research outputs, aiming to contribute to the identification of gaps to inform priority-setting for new R&D investments to be operationalized through a new global financing and coordination mechanism for health R&D and utilized by all stakeholders informing health research policy decisions in countries, civil society, and the private sector.As one of the mechanisms to achieve the goals of the Global Observatory on Health R&D, the WHO is launching a Call for Papers to be published as a Thematic Series in Health Research Policy and Systems to contribute state-of-the-art knowledge and innovative approaches to analyse, interpret, and report on health R&D information. Further, to serve as a key resource to inform the future WHO-convened coordination mechanism, which will be utilized to generate evidence-informed priorities for new R&D investments to be financed through a proposed new global financing and coordination mechanism for health R&D.

Success factors for reducing maternal and child mortality.

Reducing maternal and child mortality is a priority in the Millennium Development Goals (MDGs), and will likely remain so after 2015. Evidence exists on the investments, interventions and enabling policies required. Less is understood about why some countries achieve faster progress than other comparable countries. The Success Factors for Women's and Children's Health studies sought to address this knowledge gap using statistical and econometric analyses of data from 144 low- and middle-income countries (LMICs) over 20 years; Boolean, qualitative comparative analysis; a literature review; and country-specific reviews in 10 fast-track countries for MDGs 4 and 5a. There is no standard formula--fast-track countries deploy tailored strategies and adapt quickly to change. However, fast-track countries share some effective approaches in addressing three main areas to reduce maternal and child mortality. First, these countries engage multiple sectors to address crucial health determinants. Around half the reduction in child mortality in LMICs since 1990 is the result of health sector investments, the other half is attributed to investments made in sectors outside health. Second, these countries use strategies to mobilize partners across society, using timely, robust evidence for decision-making and accountability and a triple planning approach to consider immediate needs, long-term vision and adaptation to change. Third, the countries establish guiding principles that orient progress, align stakeholder action and achieve results over time. This evidence synthesis contributes to global learning on accelerating improvements in women's and children's health towards 2015 and beyond.

La réduction de la mortalité maternelle et infantile est une priorité des objectifs du Millénaire pour le développement (OMD) et le restera probablement après l'échéance de 2015. Il existe des données sur les investissements, les interventions et les politiques habilitantes nécessaires. On comprend mal pourquoi certains pays ont réalisé des progrès plus rapidement que d'autres pays comparables. Les Facteurs de réussite des études sur la santé des femmes et des enfants ont cherché à combler ce manque de connaissances en utilisant les analyses statistiques et économétriques des données provenant de 144 pays à faible revenu et à revenu intermédiaire et recueillies depuis 20 ans: une analyse comparative qualitative booléenne; une étude bibliographique et des études spécifiques à chaque pays pour les 10 pays à progression rapide pour les points 4 et 5a des OMD. Il n'existe pas de formule standard ­ les pays à progression rapide ont déployé des stratégies personnalisées et se sont adaptés rapidement aux changements. Cependant, ces pays ont en commun des approches efficaces visant 3 grands axes afin de réduire la mortalité maternelle et infantile. Premièrement, ils impliquent de nombreux secteurs pour traiter les facteurs déterminants et cruciaux pour la santé. Près de la moitié de la réduction de la mortalité infantile dans les pays à faible revenu et à revenu intermédiaire depuis 1990 résulte des investissements dans le secteur de la santé, l'autre moitié étant attribuée aux investissements réalisés dans les secteurs extérieurs à la santé. Deuxièmement, ces pays utilisent des stratégies pour mobiliser les partenaires dans la société, en utilisant des données solides et opportunes pour la prise de décisions et la responsabilisation, ainsi qu'une approche de planification triple pour prendre en considération les besoins immédiats, la vision à long terme et l'adaptation aux changements. Troisièmement, ces pays établissent des principes directeurs qui orientent les progrès, harmonisent les actions des parties prenantes et génèrent des résultats dans le temps. Cette synthèse de données contribue à l'ensemble des connaissances requises pour accélérer les améliorations sur la santé des femmes et des enfants en vue de l'échéance de 2015 et au-delà.

La reducción de la mortalidad materna e infantil es una prioridad en los Objetivos de Desarrollo del Milenio (ODM), y probablemente lo seguirá siendo después de 2015. Existen evidencias sobre las inversiones, las intervenciones y las políticas necesarias, pero se sabe menos acerca de por qué algunos países logran un progreso más rápido que otros países comparables. Los estudios relativos a los Factores de Éxito en la Salud de las Mujeres y los Niños han tratado de abordar esta brecha de conocimiento por medio de análisis estadísticos y econométricos de datos de 144 países de ingresos bajos y medianos (PIBM) a lo largo de más de 20 años, análisis comparativos cualitativos booleanos, revisión de la literatura y revisiones específicas de cada país en 10 países bien encarrilados para los ODM 4 y 5a. No existe una fórmula estándar, estos países despliegan estrategias a medida y se adaptan rápidamente a los cambios. Sin embargo, comparten ciertos enfoques eficaces a la hora de abordar tres áreas principales para reducir la mortalidad materna e infantil. En primer lugar, involucran a numerosos sectores para hacer frente a los factores sanitarios decisivos. Alrededor de la mitad de la reducción de la mortalidad infantil en los PIBM desde 1990 es el resultado de inversiones en el sector de la salud, y la otra mitad se atribuye a las inversiones realizadas en sectores fuera del ámbito sanitario. En segundo lugar, estos países utilizan estrategias para movilizar a socios a través de la sociedad, utilizando evidencias oportunas y sólidas para la toma de decisiones y la rendición de cuentas, así como un enfoque de planificación triple para considerar las necesidades inmediatas, la visión a largo plazo y la adaptación al cambio. En tercer lugar, los países establecen principios rectores que orientan el progreso, armonizan las acciones de las partes interesadas y logran resultados en el tiempo. Este compendio de evidencias contribuye al aprendizaje global sobre cómo acelerar las mejoras en la salud de mujeres y niños hacia el 2015 y más adelante.

Country progress towards the Millennium Development Goals: adjusting for socioeconomic factors reveals greater progress and new challenges.

BACKGROUND: The health Millennium Development Goals (4, 5, 6) impose the same ambitious 2015 targets on every country. Few low-income countries are on track to reach them. Some authors have proposed country-specific targets as a more informative method by which countries can measure their progress against their potential. METHODS: This paper demonstrates a supplementary approach to assess individual country progress that complements the global goals by adjusting for socioeconomic resources and prior time trends. A minimum performance target adjusts for time and national GDP. Fast-track targets, based on best-performing countries' progress within regional and income groups, adjust for health and non-health sector factors known to affect maternal and child health. RESULTS: Measuring by the minimum performance target, 74% and 59% of low- and middle-income countries are on track for reducing child mortality and maternal mortality, respectively, compared with 69% and 22% using global MDGs. Only 20% and 7% of low- and middle-income countries are on track for the child and maternal mortality fast-track targets. CONCLUSIONS: Supplementary targets in maternal and child health, adjusted for each country's resources and policy performance can help countries know if they are truly underperforming relative to their potential. Adjusted targets can also flag countries that have surpassed their potential, and open opportunities for learning from success. FUNDING: Partnership for Maternal, Newborn & Child Health and the Alliance for Health Policy and Systems Research, as part of the Success Factors Study on reducing maternal and child mortality.

Advancing the application of systems thinking in health: understanding the growing complexity governing immunization services in Kerala, India.

BACKGROUND: Governing immunization services in a way that achieves and maintains desired population coverage levels is complex as it involves interactions of multiple actors and contexts. In one of the Indian states, Kerala, after routine immunization had reached high coverage in the late 1990s, it started to decline in some of the districts. This paper describes an application of complex adaptive systems theory and methods to understand and explain the phenomena underlying unexpected changes in vaccination coverage. METHODS: We used qualitative methods to explore the factors underlying changes in vaccination coverage in two districts in Kerala, one with high and one with low coverage. Content analysis was guided by features inherent to complex adaptive systems such as phase transitions, feedback, path dependence, and self-organization. Causal loop diagrams were developed to depict the interactions among actors and critical events that influenced the changes in vaccination coverage. RESULTS: We identified various complex adaptive system phenomena that influenced the change in vaccination coverage levels in the two districts. Phase transition describes how initial acceptability to vaccination is replaced by a resistance in northern Kerala, which involved new actors; actors attempting to regain acceptability and others who countered it created several feedback loops. We also describe how the authorities have responded to declining immunization coverage and its impact on vaccine acceptability in the context of certain highly connected actors playing disproportionate influence over household vaccination decisions.Theoretical exposition of our findings reveals the important role of trust in health workers and institutions that shape the interactions of actors leading to complex adaptive system phenomena. CONCLUSIONS: As illustrated in this study, a complex adaptive system lens helps to uncover the 'real' drivers for change. This approach assists researchers and decision makers to systematically explore the driving forces and factors in each setting and develop appropriate and timely strategies to address them. The study calls for greater consideration of dynamics of vaccine acceptability while formulating immunization policies and program strategies. The analytical approaches adopted in this study are not only applicable to immunization or Kerala but to all complex interventions, health systems problems, and contexts.

Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda.

BACKGROUND: Of the three million newborns that die each year, Uganda ranks fifth highest in neonatal mortality rates, with 43,000 neonatal deaths each year. Despite child survival and safe motherhood programmes towards reducing child mortality, insufficient attention has been given to this critical first month of life. There is urgent need to innovatively employ alternative solutions that take into account the intricate complexities of neonatal health and the health systems. In this paper, we set out to empirically contribute to understanding the causes of the stagnating neonatal mortality by applying a systems thinking approach to explore the dynamics arising from the neonatal health complexity and non-linearity and its interplay with health systems factors, using Uganda as a case study. METHODS: Literature reviews and interviews were conducted in two divisions of Kampala district with high neonatal mortality rates with mothers at antenatal clinics and at home, village health workers, community leaders, healthcare decision and policy makers, and frontline health workers from both public and private health facilities. Data analysis and brainstorming sessions were used to develop causal loop diagrams (CLDs) depicting the causes of neonatal mortality, which were validated by local and international stakeholders. RESULTS: We developed two CLDs for demand and supply side issues, depicting the range of factors associated with neonatal mortality such as maternal health, level of awareness of maternal and newborn health, and availability and quality of health services, among others. Further, the reinforcing and balancing feedback loops that resulted from this complexity were also examined. The potential high leverage points include special gender considerations to ensure that girls receive essential education, thereby increasing maternal literacy rates, improved socioeconomic status enabling mothers to keep healthy and utilise health services, improved supervision, and internal audits at the health facilities as well as addressing the gaps in resources (human, logistics, and drugs). CONCLUSIONS: Synthesis of theoretical concepts through CLDs facilitated our understanding and interpretation of the interactions and feedback loops that contributed to the stagnant neonatal mortality rates in Uganda, which is the first step towards discussing and exploring the potential strategies and their likely impact.

Exploring the effects of task shifting for HIV through a systems thinking lens: the case of Burkina Faso.

BACKGROUND: While the impact of task shifting on quality of care and clinical outcomes has been demonstrated in several studies, evidence on its impact on the health system as a whole is limited. This study has two main objectives. The first is to conceptualize the wider range of effects of task shifting through a systems thinking lens. The second is to explore these effects using task shifting for HIV in Burkina Faso as a case study. METHODS: We used a case study approach, using qualitative research methods. Data sources included document reviews, reviews of available data and records, as well as interviews with key informants and health workers. RESULTS: In addition to the traditional measures of impact of task shifting on health outcomes, our study identified 20 possible effects of the strategy on the system as a whole. Moreover, our analysis highlighted the importance of differentiating between two types of health systems effects. The first are effects inherent to the task shifting strategy itself, such as job satisfaction or better access to health services. The second are effects due to health system barriers, for example the unavailability of medicines and supplies, generating a series of effects on the various components of the health system, e.g., staff frustration.Among the health systems effects that we found are positive, mostly unintended, effects and synergies such as increased health workers' sense of responsibility and worthiness, increased satisfaction due to using the newly acquired skills in other non-HIV tasks, as well as improved patient-provider relationships. Among the negative unintended effects are staff frustration due to lack of medicines and supplies or lack of the necessary infrastructure to be able to perform the new tasks. CONCLUSION: Our analysis highlights the importance of adopting a systems thinking approach in designing, implementing and evaluating health policies to mitigate some of the design issues or system bottle-necks that may impede their successful implementation or risk to present an incomplete or misleading picture of their impact.

Increasing Effectiveness and Equity in Strengthening Health Research Capacity Using Data and Metrics: Recent Advances of the ESSENCE Mechanism.

Background: The ESSENCE on Health Research initiative established a Working Group on Review of Investments in 2018 to improve coordination and collaboration among funders of health research capacity strengthening. The Working Group comprises more than a dozen ESSENCE members, including diverse representation by geography, country income level, the public sector, and philanthropy. Objective: The overall goal of the Working Group is increased research on national health priorities as well as improved pandemic preparedness, and, ultimately, fewer countries with very limited research capacity. Methods: We developed a basic set of metrics for national health research capacity, assessed different models of coordination and collaboration, took a deeper dive into eight countries to characterize their national research capacity, and began to identify opportunities to better coordinate our investments. In this article, we summarize the presentations, discussions, and outcomes of our second annual (virtual) meeting, which had more than 100 participants representing funders, researchers, and other stakeholders from higher- and lower-income countries worldwide. Findings and conclusions: Presentations on the first day included the keynote speaker, Dr. Soumya Swaminathan, chief scientist of the World Health Organization (WHO), and updates on data and metrics for research capacity, which are critical to establish targets, road maps, and budgets. The second day focused on improving collaboration and coordination among funders and other stakeholders, the potential return on investment for health research, ongoing work to increase coordination at the country level, and examples of research capacity strengthening efforts in diverse health research areas from around the world. We concluded that an intentional data- and metric-driven approach to health research capacity strengthening, emphasizing coordination among funders, local leadership, and equitable partnerships and allocation of resources, will enhance the health systems of resource-poor countries as well as the world's pandemic preparedness.

Evaluation of interventions on road traffic injuries in Peru: a qualitative approach.

BACKGROUND: Evaluation of interventions on road traffic injuries (RTI) going beyond the assessment of impact to include factors underlying success or failure is an important complement to standard impact evaluations. We report here how we used a qualitative approach to assess current interventions implemented to reduce RTIs in Peru. METHODS: We performed in-depth interviews with policymakers and technical officers involved in the implementation of RTI interventions to get their insight on design, implementation and evaluation aspects. We then conducted a workshop with key stakeholders to analyze the results of in-depth interviews, and to further discuss and identify key programmatic considerations when designing and implementing RTI interventions. We finally performed brainstorming sessions to assess potential system-wide effects of a selected intervention (Zero Tolerance), and to identify adaptation and redesign needs for this intervention. RESULTS: Key programmatic components were consistently identified that should be considered when designing and implementing RTI interventions. They include effective and sustained political commitment and planning; sufficient and sustained budget allocation; training, supervision, monitoring and evaluation of implemented policies; multisectoral participation; and strong governance and accountability. Brainstorming sessions revealed major negative effects of the selected intervention on various system building blocks. CONCLUSIONS: Our approach revealed substantial caveats in current RTI interventions in Peru, and fundamental negative effects on several components of the sectors and systems involved. It also highlighted programmatic issues that should be applied to guarantee an effective implementation and evaluation of these policies. The findings from this study were discussed with key stakeholders for consideration in further designing and planning RTI control interventions in Peru.

Defining research to improve health systems.

Robert Terry and colleagues present working definitions of operational research, implementation research, and health systems research within the context of research to strengthen health systems.

Effect of the Integrated Management of Childhood Illness strategy on childhood mortality and nutrition in a rural area in Bangladesh: a cluster randomised trial.

BACKGROUND: WHO and UNICEF launched the Integrated Management of Childhood Illness (IMCI) strategy in the mid-1990s to reduce deaths from diarrhoea, pneumonia, malaria, measles, and malnutrition in children younger than 5 years. We assessed the effect of IMCI on health and nutrition of children younger than 5 years in Bangladesh. METHODS: In this cluster randomised trial, 20 first-level government health facilities in the Matlab subdistrict of Bangladesh and their catchment areas (total population about 350 000) were paired and randomly assigned to either IMCI (intervention; ten clusters) or usual services (comparison; ten clusters). All three components of IMCI-health-worker training, health-systems improvements, and family and community activities-were implemented beginning in February, 2002. Assessment included household and health facility surveys tracking intermediate outputs and outcomes, and nutrition and mortality changes in intervention and comparison areas. Primary endpoint was mortality in children aged between 7 days and 59 months. Analysis was by intention to treat. This study is registered, number ISRCTN52793850. FINDINGS: The yearly rate of mortality reduction in children younger than 5 years (excluding deaths in first week of life) was similar in IMCI and comparison areas (8.6%vs 7.8%). In the last 2 years of the study, the mortality rate was 13.4% lower in IMCI than in comparison areas (95% CI -14.2 to 34.3), corresponding to 4.2 fewer deaths per 1000 livebirths (95% CI -4.1 to 12.4; p=0.30). Implementation of IMCI led to improved health-worker skills, health-system support, and family and community practices, translating into increased care-seeking for illnesses. In IMCI areas, more children younger than 6 months were exclusively breastfed (76%vs 65%, difference of differences 10.1%, 95% CI 2.65-17.62), and prevalence of stunting in children aged 24-59 months decreased more rapidly (difference of differences -7.33, 95% CI -13.83 to -0.83) than in comparison areas. INTERPRETATION: IMCI was associated with positive changes in all input, output, and outcome indicators, including increased exclusive breastfeeding and decreased stunting. However, IMCI implementation had no effect on mortality within the timeframe of the assessment. FUNDING: Bill & Melinda Gates Foundation, WHO's Department of Child and Adolescent Health and Development, and US Agency for International Development.

Estimating the obstetric costs of female genital mutilation in six African countries.

OBJECTIVE: To estimate the cost to the health system of obstetric complications due to female genital mutilation (FGM) in six African countries. METHODS: A multistate model depicted six cohorts of 100,000 15-year-old girls who survived until the age of 45 years. Cohort members were modelled to have various degrees of FGM, to undergo childbirth according to each country's mortality and fertility statistics, and to have medically attended deliveries at the frequency observed in the relevant country. The risk of obstetric complications was estimated based on a 2006 study of 28,393 women. The costs of each complication were estimated in purchasing power parity dollars (I$) for 2008 and discounted at 3%. The model also tracked life years lost owing to fatal obstetric haemorrhage. Multivariate sensitivity analysis was used to estimate the uncertainty around the findings. FINDINGS: The annual costs of FGM-related obstetric complications in the six African countries studied amounted to I$ 3.7 million and ranged from 0.1 to 1% of government spending on health for women aged 15-45 years. In the current population of 2.8 million 15-year-old women in the six African countries, a loss of 130,000 life years is expected owing to FGM's association with obstetric haemorrhage. This is equivalent to losing half a month from each lifespan. CONCLUSION: Beyond the immense psychological trauma it entails, FGM imposes large financial costs and loss of life. The cost of government efforts to prevent FGM will be offset by savings from preventing obstetric complications.

A Mechanism for Reviewing Investments in Health Research Capacity Strengthening in Low- and Middle-Income Countries.

More than 40 agencies that fund health research capacity strengthening in low- and middle-income countries (LMICs) participate in the ESSENCE Health Research initiative, which has established a mechanism for reviewing and coordinating their funding. Taken together, the expected outcomes of implementation of the review mechanism are increases in the efficiency and equity in health research capacity strengthening activities with decreased duplication of efforts. The overall goal is increased support of research on national health priorities as well as improved pandemic preparedness in LMICs, and, eventually, fewer countries with very limited research capacity.

From Mexico to Mali: progress in health policy and systems research.

In 2004, the ministerial summit in Mexico drew attention to the historic neglect of health policy and systems research (HPSR) and called for increased funding, investment in national institutional capacity for HPSR, and resources for selected priority research topics. On the basis of meeting discussions, published reports, and available data from research funders and organisations in low-income and middle-income countries, we discuss how HPSR has evolved since the summit in Mexico. Funding for HPSR, particularly in low-income countries, is mainly supported by international and bilateral organisations. Increased interest in health systems has translated into increased support for HPSR. However, small grants and lack of coordination between funders inhibit capacity development, and substantial gaps remain between institutional capacities of high-income and low-income countries. Lack of national capacity is judged to be the key constraint to the development of HPSR. Recommendations from the summit in Mexico remain pertinent, and momentum towards their achievement must be accelerated through the ministerial forum in Mali and beyond.

Cost implications of improving the quality of child care using integrated clinical algorithms: evidence from Northeast Brazil.

OBJECTIVES: Previous research has shown that providers trained in the Integrated Management of Childhood Illness offered higher quality care for under-fives than those providing routine care in several settings including Northeast Brazil. The objective of this paper is to examine if such quality improvements adds to total costs or is cost saving. METHODS: The additional costs associated with treating children based on IMCI clinical algorithms in northeast Brazil are estimated by comparing the total costs of under-five care in 22 municipalities with IMCI with 22 matched municipalities providing routine care. Multivariate analysis was also used to isolate the effect of IMCI on costs at primary facilities, controlling for other possible determinants. RESULTS: For 2001, there was no statistically significant difference in the cost per child of caring for under-fives in IMCI municipalities (US$ 95) relative to the comparison municipalities (US$ 98). Moreover, IMCI training had no independent effect on unit costs at primary facilities, the largest component in overall costs per child (79%). Case load was the most important determinant. CONCLUSION: Our findings suggest that scaling up IMCI-based care could increase child health outcomes in Brazil without increasing overall health costs.