Knowledge brokering is a promising strategy to close the “know–do gap” and foster greater use of research findings and evidence in policy-making. It focuses on organising the interactive process between the producers and users of knowledge so that they can co-produce feasible and research-informed policy options. This paper describes a recent successful experience with this novel approach in the Netherlands and also discusses the potential of this approach to assist health policy development in low-income countries based on the experience of developing the Regional East-African Health (REACH)- Policy Initiative.
Monitoring equity and research policy
Recent attempts to integrate geographic information systems (GIS) and participatory techniques have given rise to terminologies such as participatory GIS and community-integrated GIS. Although GIS was initially developed for physical geographic application, it can be used for the management and analysis of health and health care data. Geographic information systems, combined with participatory methodology, have facilitated the analysis of access to health facilities and disease risk in different populations. Little has been published about the usefulness of combining participatory methodologies and GIS technology in an effort to understand and inform community-based intervention studies, especially in the context of HIV. This paper attempts to address this perceived gap in the literature. The authors describe the application of participatory research methods with GIS in the formative phase of a multisite community-based social mobilisation trial, using voluntary counselling and testing and post-test support as the intervention.
As reducing socio-economic inequalities in health is an important public health objective, monitoring of these inequalities is an important public health task. The specific inequality measure used can influence the conclusions drawn, and there is no consensus on which measure is most meaningful. The key issue raising most debate is whether to use relative or absolute inequality measures. Our paper aims to inform this debate and develop recommendations for monitoring health inequalities on the basis of empirical analyses for a broad range of developing countries.
The case-studies presented in this paper analyse findings from sexual and reproductive health and HIV research programmes in sub-Saharan Africa, including Ghana, South Africa and Tanzania. The analysis emphasises the relationships and communications involved in using research to influence policy and practice and recognises a distinction whereby practice is not necessarily influenced as a result of policy change – especially in SRH – where there are complex interactions between policy actors. Both frameworks demonstrate how policy networks, partnership and advocacy are critical in shaping the extent to which research is used and the importance of on-going and continuous links between a range of actors to maximise research impact on policy uptake and implementation. The case-studies illustrate the importance of long-term engagement between researchers and policy makers and how to use evidence to develop policies which are sensitive to context: political, cultural and practical.
In the case-studies presented in this paper, the authors analyse findings from sexual and reproductive health (SRH) and HIV research programmes in sub-Saharan Africa. In their analysis, they emphasise the relationships and communications involved in using research to influence policy and practice and recognises a distinction whereby practice is not necessarily influenced as a result of policy change – especially in SRH – where there are complex interactions between policy actors. Policy networks, partnership and advocacy are critical in shaping the extent to which research is used and the importance of on-going and continuous links between a range of actors to maximise research impact on policy uptake and implementation. The case-studies illustrate the importance of long-term engagement between researchers and policy makers and how to use evidence to develop policies which are sensitive to context: political, cultural and practical.
This report and summary deals with the findings of the survey that deal with the District Health Barometer (DHB) publication. The DHB aims at improving the quality of and access to primary health care through monitoring important aspects of the health system at a district level by analysing and comparing a carefully selected range of health indicators.
This article describes the validation of an instrument to measure work group climate in public health organizations in developing countries. The instrument, the Work Group Climate Assessment Tool (WCA), was applied in Brazil, Mozambique, and Guinea to assess the intermediate outcomes of a program to develop leadership for performance improvement. Findings discussed include how the WCA is useful for comparing the climates of different work groups, tracking the changes in climate in a single work group over time, or examining differences among individuals' perceptions of their work group climate.
In this study, researchers aimed to validate vaccination data from a longitudinal population-based demographic surveillance system (DSS) against data from a clinical cohort study. The sample included 821 children in the Vertical Transmission cohort Study (VTS), and researchers found that vaccination data in matched children in the DSS was based on the vaccination card in about two-thirds of the cases and on maternal recall in about one-third. In conclusion, the addition of maternal recall of vaccination status of the child to the child’s card information significantly increased the proportion of children known to be vaccinated across all vaccines in the DSS. The authors recommend that information based on both maternal recall and vaccination cards should be used to identify which children have received a vaccination and which have not.
Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing measurement systems in the developing world and the lack of biometry tests for non-communicable diseases. Diagnosis based on self-reported signs and symptoms (“Symptomatic Diagnosis,” or SD) analysed with computer-based algorithms may be a promising method for collecting timely and reliable information on non-communicable disease prevalence. This study developed and assessed the performance of a symptom-based questionnaire to estimate prevalence of non-communicable diseases in low-resource areas. The authors collected 1,379 questionnaires in Mexico from individuals who suffered from a non-communicable disease that had been diagnosed with gold standard diagnostic criteria or individuals who did not suffer from any of the 10 target conditions. To make the diagnosis of non-communicable diseases, the authors selected the Tariff method, a technique developed for verbal autopsy cause of death calculation. They assessed the performance of this instrument and analytical techniques at the individual and population levels. The questionnaire revealed that SD is a viable method for producing estimates of the prevalence of non-communicable diseases in areas with low health information infrastructure. This technology can provide higher-resolution prevalence data, more flexible data collection, and potentially individual diagnoses for certain conditions.
In this video researchers from Kemri Wellcome Trust in Kenya outline some of the ethical dilemmas that they encounter in their day to day lives. RinGs is a project and learning platform that aims to support researchers on understanding and integrating gender and ethics into their work.
