Implementation research is important in global health to address the challenges of the know-do gap in real world settings, and the practicalities of achieving national and global health goals.Implementation research is an integrated concept linking research and practice to accelerate the development and delivery of public health approaches. It involves the creation and application of knowledge to improve the implementation of health policies, programmes, and practices. It uses multiple disciplines and methods, and emphasises partnerships between community members, implementers, researchers and policy makers. Implementation research focuses on practical approaches to improve implementation; to enhance equity, efficiency, scale up and sustainability, and ultimately to improve people's health. There is growing interest in the principles of implementation research, and a range of perspectives on its purposes and appropriate methods.However, there have been limited efforts to systematically document and review learning from the practice of implementation research across different countries and technical areas. Drawing on an expert review process, this paper presents purposively selected case studies to illustrate the essential characteristics of implementation research and its application in low and middleincome countries (LMICs). The case studies are organized in four categories related to the purposes for using implementation research: impacting people's health, informing policy design and implementation, improving health service delivery, and empowering communities and beneficiaries. Common characteristics of these case studies are the focus on addressing implementation problems, ensuring a partnership approach to the co-creation of solutions, including using tacit knowledge, and commitment of key stakeholders to a pathway towards impact. The case studies reveal the complex adaptive nature of health systems, emphasize the importance of understanding context, and highlight the role of multidisciplinary, rigorous and adaptive processes which allow for course correction to ensure interventions have an impact. This Implementation Research: New Imperatives and Opportunities in Global HealthPanel 1: Key messages 1. Implementation research offers a way to understand and address implementation challenges and make a positive impact on people's health by contributing to building stronger and more responsive health systems within the realities of specific contexts. 2. Implementation research can lead to positive health outcomes, inform policy design, improve health management and service delivery, and support and empower communities and beneficiaries. 3. Implementation research uses multidisciplinary approaches and a range of empirical and systematic methods to document, analyse and address key health problems and test technical health interventions as well as contextually tailored innovative strategies within the foundations of local context. 4. Implementation research can be used to evaluate the feasibility, adoption, and a...
Building upon the successes of Countdown to 2015, Countdown to 2030 aims to support the monitoring and measurement of women's, children's, and adolescents' health in the 81 countries that account for 95% of maternal and 90% of all child deaths worldwide. To achieve the Sustainable Development Goals by 2030, the rate of decline in prevalence of maternal and child mortality, stillbirths, and stunting among children younger than 5 years of age needs to accelerate considerably compared with progress since 2000. Such accelerations are only possible with a rapid scale-up of effective interventions to all population groups within countries (particularly in countries with the highest mortality and in those affected by conflict), supported by improvements in underlying socioeconomic conditions, including women's empowerment. Three main conclusions emerge from our analysis of intervention coverage, equity, and drivers of reproductive, maternal, newborn, and child health (RMNCH) in the 81 Countdown countries. First, even though strong progress was made in the coverage of many essential RMNCH interventions during the past decade, many countries are still a long way from universal coverage for most essential interventions. Furthermore, a growing body of evidence suggests that available services in many countries are of poor quality, limiting the potential effect on RMNCH outcomes. Second, within-country inequalities in intervention coverage are reducing in most countries (and are now almost non-existent in a few countries), but the pace is too slow. Third, health-sector (eg, weak country health systems) and non-health-sector drivers (eg, conflict settings) are major impediments to delivering high-quality services to all populations. Although more data for RMNCH interventions are available now, major data gaps still preclude the use of evidence to drive decision making and accountability. Countdown to 2030 is investing in improvements in measurement in several areas, such as quality of care and effective coverage, nutrition programmes, adolescent health, early childhood development, and evidence for conflict settings, and is prioritising its regional networks to enhance local analytic capacity and evidence for RMNCH.
on behalf of the Effective Coverage Think Tank Group* Intervention coverage-the proportion of the population with a health-care need who receive care-does not account for intervention quality and potentially overestimates health benefits of services provided to populations. Effective coverage introduces the dimension of quality of care to the measurement of intervention coverage. Many definitions and methodological approaches to measuring effective coverage have been developed, resulting in confusion over definition, calculation, interpretation, and monitoring of these measures. To develop a consensus on the definition and measurement of effective coverage for maternal, newborn, child, and adolescent health and nutrition (MNCAHN), WHO and UNICEF convened a group of experts, the Effective Coverage Think Tank Group, to make recommendations for standardising the definition of effective coverage, measurement approaches for effective coverage, indicators of effective coverage in MNCAHN, and to develop future effective coverage research priorities. Via a series of consultations, the group recommended that effective coverage be defined as the proportion of a population in need of a service that resulted in a positive health outcome from the service. The proposed effective coverage measures and care cascade steps can be applied to further develop effective coverage measures across a broad range of MNCAHN services. Furthermore, advances in measurement of effective coverage could improve monitoring efforts towards the achievement of universal health coverage.
BackgroundTo plan for a community case management (CCM) program after the implementation of the Free Health Care Initiative (FHCI), we assessed health care seeking for children with diarrhoea, malaria and pneumonia in 4 poor rural districts in Sierra Leone.MethodsIn July 2010 we undertook a cross-sectional household cluster survey and qualitative research. Caregivers of children under five years of age were interviewed about healthcare seeking. We evaluated the association of various factors with not seeking health care by obtaining adjusted odds ratios and 95% confidence limits using a multivariable logistic regression model. Focus groups and in-depth interviews of young mothers, fathers and older caregivers in 12 villages explored household recognition and response to child morbidity.ResultsThe response rate was 93% (n=5951). Over 85% of children were brought for care for all conditions. However, 10.8% of those with diarrhoea, 36.5% of those with presumed pneumonia and 41.0% of those with fever did not receive recommended treatment. In the multivariable models, use of traditional treatments was significantly associated with not seeking outside care for all three conditions. Qualitative data showed that traditional treatments were used due to preferences for locally available treatments and barriers to facility care that remain even after FHCI.ConclusionWe found high healthcare seeking rates soon after the FHCI; however, many children do not receive recommended treatment, and some are given traditional treatment instead of seeking outside care. Facility care needs to be improved and the CCM program should target those few children still not accessing care.
Cohort studies of young (aged 18-30 years) injecting drug users recruited in 1997-1999 in the Harlem and Lower East Side areas of New York City, New York, were used to assess the incidence of human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV). The authors found that HIV incidence was low at both sites: 0.8/100 person-years at the Harlem site and 0/100 person-years at the Lower East Side site. In contrast, HBV incidence was moderate (12.2/100 person-years) at the Harlem site and high (30.7/100 person-years) at the Lower East Side site. Similarly, HCV incidence was moderate (9.3/100 person-years) at the Harlem site and high (34.0/100 person-years) at the Lower East Side site. Results show that high rates of HBV and HCV transmission do not imply high rates of HIV transmission, even within an area of high HIV seroprevalence.
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