According to this report, the monitoring process for the Millennium Development Goals (MDGs) has taught important lessons on how to maintain focus on internationally agreed development goals and targets, while keeping stakeholders informed of achievements, problem areas and emerging issues. The Working Group argues that global statistics organisations should continue to occupy a strategic, oversight position on statistics and indicators for monitoring. One key lesson learned is that there is clear need for a broad-based technical but inclusive monitoring group, and for a succinct annual report for the public on progress and challenges. The Working Group argues that the UN System Task Team on the Post-2015 UN Development Agenda has played a critical role for the coordination, credibility and sustainability of global monitoring and reporting and should be maintained in some form post-2015. Another finding has been the importance of investment in country capacities for data collection and reporting, leading to progress in disaggregation as well as towards the development of new indicators. Finally, the monitoring process has brought to the fore the necessity of having well-defined, objectively measurable indicators that can be used to track progress across countries and be aggregated to represent regional and global trends.
Monitoring equity and research policy
Stigma is a pervasive influence on disease and responses of nations, communities, families, and individuals to illness. Too little research has been done in recent years to better understand the pathogenesis and implications of stigma, how beliefs are generated, perpetuated, and translated into behaviours, and the cost of stigma to individuals, families, communities, and nations. The sense that legislation and education against stigma is sufficient may explain the shortage of interest in research in this field.
Despite increasing attention and investment for maternal, neonatal, and child health, stillbirths remain invisible - not counted in the Millennium Development Goals, nor tracked by the UN, nor in the Global Burden of Disease metrics. At least 2.65 million stillbirths were estimated worldwide in 2008, of which 98% occured in low-income and middle-income countries. Worldwide, 67% of stillbirths occur in rural families, 55% in rural sub-Saharan Africa and south Asia, where skilled birth attendance and caesarean sections are much lower than that for urban births. National estimates of causes of stillbirths are scarce, and multiple classification systems impede international comparison. Immediate data improvements are feasible through household surveys and facility audit, and improvements in vital registration, including specific perinatal certificates and revised International Classification of Disease codes, are needed, according to the authors of this article.
This qualitative study focuses on the research communication and policy influencing objectives, strategies and experiences of four research consortia working on sexual and reproductive health (SRH), HIV and AIDS. The researchers carried out 22 in-depth interviews with researchers and communications specialists (research actors) from the four consortia and their partners, working in nine countries in sub-Saharan Africa and Asia. They found that the characteristics of researchers and their institutions, policy context, the multiplicity of actors, and the nature of the research evidence all play a role in policy influencing processes. Research actors perceived a trend towards increasingly intensive and varied communication approaches. Effective influencing strategies include making strategic alliances and coalitions and framing research evidence in ways that are most attractive to particular policy audiences. Tensions include the need to identify and avoid unnecessary communication or unintended impacts, challenges in assessing and attributing impact and the need for adequate resources and skills for communications work.
This qualitative study focuses on the research communication and policy-influencing objectives, strategies and experiences of four research consortia working in sexual and reproductive health, HIV and AIDS in nine countries in sub-Saharan Africa and Asia. The authors carried out 22 in-depth interviews with researchers and communications specialists to identify factors that affect the interaction of research evidence with policy and practice, using an adapted version of the Overseas Development Institute’s RAPID analytical framework. Results indicated that the characteristics of researchers and their institutions, policy context, the multiplicity of actors, and the nature of the research evidence all play a role in policy influencing processes. Research actors perceived a trend towards increasingly intensive and varied communication approaches. Effective influencing strategies include making strategic alliances and coalitions and framing research evidence in ways that are most attractive to particular policy audiences. Tensions include the need to identify and avoid unnecessary communication or unintended impacts, challenges in assessing and attributing impact and the need for adequate resources and skills for communications work. The authors conclude that the adapted RAPID framework can serve as a useful tool for research actors to use in resolving tensions.
Although community engagement is increasingly promoted in global health research to improve ethical research practice, the authors observe that there is sometimes a disconnect between the broader moral ambitions for community engagement in the literature and guidelines on the one hand and its rather narrower practical application in health research on the other. In practice, less attention is said to be paid to engaging communities for the ‘intrinsic’ value of showing respect and ensuring inclusive participation of community partners in research design. Rather, more attention is paid to the use of community engagement for ‘instrumental’ purposes to improve community understanding of research and ensure successful study implementation. Against this backdrop, the authors reviewed the literature and engaged various research stakeholders at a workshop to discuss ways of strengthening ethical engagement of communities and to develop context-relevant guidelines for community engagement in health research in Malawi. They concluded by proposing a model with three elements that would increase participatory community engagement in health research namely: collaboration, consultation and communication from the onset of research.
Strengthening health systems for improved policy making in low- and middle-income (LMIC) countries requires sustained efforts from many people, working collaboratively across multiple levels. Accordingly, the authors of this paper argue that the complexity of health systems necessitates approaches that are grounded in systems thinking at the global, national and subnational levels, and that recognise the need for ways of working that promote integration rather than fragmentation. Network structures represent a broad set of collaborative approaches that are useful for bringing stakeholders together. The authors propose that health systems in LMIC countries will be strengthened if policy researchers, policy makers and other stakeholders are able to explicitly and purposefully apply systems thinking concepts to the design, implementation, monitoring and evaluation of networks.
The Mozambique Population Health Implementation and Training (PHIT) Partnership focuses on improving the quality of routine data and its use through appropriate tools to facilitate decision making by health system managers; strengthening management and planning capacity and funding district health plans; and building capacity for operations research to guide system-strengthening efforts. This seven-year effort covers all 13 districts and 146 health facilities in Sofala Province. The Mozambique PHIT Partnership expects to provide evidence on the effect of efforts to improve data quality coupled with the introduction of tools, training, and supervision to improve evidence-based decision making. This contribution to the knowledge base on what works to enhance health systems is highly replicable for rapid scale-up to other provinces in Mozambique, as well as other sub-Saharan African countries with limited resources and a commitment to comprehensive primary health care.
The Western Cape Province has a local-level mortality surveillance system that has been upgraded to do automated cause of death coding using IRIS software, in concordance with the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) codes. This paper reviews the achievements in providing district-level and subdistrict-level mortality data, and describes the lessons learnt and the challenges for sustaining such a system. Cause of death coding was upgraded from a shortlist to full ICD-10 coding for natural causes of death in a customised data capture system. A total of 33 564 deaths from natural causes were coded for 2009, with 9.4% due to ill-defined causes. Completeness was estimated at 83.7% and mortality profiles were provided for all health districts for the first time, highlighting district variations in age-standardised mortality rates, although HIV and tuberculosis were the leading causes of premature mortality across all districts. It is necessary to train data capturers in medical terminology and doctors in death certification, as well as building quality assurance measures into the system. Local cause of death coding enables quality issues to be identified and addressed directly at source. IRIS makes it possible to standardise coding across districts for routine cases. Dissemination of local mortality information creates a demand for updated results, which are sometimes difficult to meet. Challenges include securing the appropriate resource allocation, integrating into a fragmented health system, and ensuring co-operation between government departments. Utilisation of information technology opportunities (eg, electronic registration of death) remains a challenge.
Tanzania’s socio-economic development is challenged by sharp inequities between and within urban and rural areas, and among different socio-economic groups. This paper discusses the importance of strengthening SDH research, knowledge, relevant capacities and responsive systems towards addressing health inequities in Tanzania.The conceptualization of SDH varies considerably among stakeholders and their professional background, but with some consensus that it is linked to “inequities” being a consequence of poverty, poor planning, limited attention to basic humanity and citizenship rights, weak governance structures and inefficient use of available resources. Commonly perceived SDH factors include age, income, education, beliefs, cultural norms, gender, occupation, nutritional status, access to health care, access to safe water and sanitation and child bearing practices. SDH research is in its infancy but gaining momentum. In the absence of a specific “SDH portfolio”, SDH research is scattered and hidden within disease specific, poverty-related research and research on universal health coverage. Research is mainly externally funded, which has implications on the focus of context specific SDH research, national priorities and transfer to policy. This create mismatch with population and research capacity needs. Establishing a system to promote collaboration across sectors and strengthen collective capacities for individuals and institutions researching in SDH will augment existing SDH research initiatives and better inform appropriate intersectoral policies towards addressing prevailing health inequities across the country.