Public health - Implementation science

Division of Advanced Science and Policy Analysis, John E. Fogarty International Center, U.S. National Institutes of Health, Bethesda, MD 20892, USA.
Science (Impact Factor: 33.61). 01/2008; 318(5857):1728-9. DOI: 10.1126/science.1150009
Source: PubMed
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Available from: Karen J. Hofman, Jun 26, 2014
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    • "At its most basic level, implementation is viewed as the execution of a plan, a method or a design for achieving certain outcomes. In direct contrast, the concept of implementation science, drawn largely but not exclusively from the medical research field implies a more integrated, rigorous, and systematic approach to translating policy into practice (Madon et al. 2007). As an emerging idea, implementation science is defined within the medical field as the study of methods to promote the integration of research findings and evidence into healthcare policy and practice (Fixsen et al. 2005, p. 15). "
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    ABSTRACT: This article looks at high-performing education systems in Asia through the lens of leadership and leadership development. It proposes that the top-performing education systems systematically build the leadership capacity for improvement and that this is part of an implementation science geared to maximizing performance. Drawing upon initial findings from a cross-national comparative study (The 7 System Leadership Study is funded by the University of Malaya and involves Malaysia, Indonesia, Singapore, Hong Kong, Russia, England and Australia.), the article focuses upon two high-performing systems in Asia, Singapore, and Hong Kong. The article concludes by arguing that the top performing systems in Asia, as determined by international comparative data, not only create the leadership capacity to consistently outperform others but also invest in an implementation science that defines, delineates and ultimately, determines exceptional performance.
    The Asia-Pacific Education Researcher 12/2014; 23(4). DOI:10.1007/s40299-014-0209-y · 0.96 Impact Factor
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    • "There is a major gap between the development of new health interventions and their delivery to communities in the developing world (Madon et al., 2008). Many potentially effective disease control programmes have had only limited impact on the burden of disease because of inadequate implementation, which results in poor access, even to very simple and affordable products (TDR, 2007). "
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    ABSTRACT: Summary Cross-sectional surveys with carers, health workers, community drug distributors (CDDs) and neighbourhood health committees were conducted to identify factors associated with utilization of community-directed treatment (ComDT) of soil-transmitted helminths in children aged 12-59 months in Mazabuka district, Zambia. The surveys took place in December 2006 and December 2007. In addition child treatment records were reviewed. The factors that were found to be significantly associated (p<0.05) with treatment of children by the CDDs were: (1) the perception of soil-transmitted helminth infections as having significant health importance, (2) the community-based decision to launch and subsequently implement ComDT, (3) the use of the door-to-door method of drug distribution, (4) CDDs being visited by a supervisor, (5) CDDs receiving assistance in mobilizing community members for treatment, (6) CDDs having access to a bicycle and (7) CDDs having received assistance in collecting drugs from the health centre. Despite the effectiveness of ComDT in raising treatment coverage there are factors in the implementation process that will still affect whether children and their carers utilize the ComDT approach. Identification and understanding of these factors is paramount to achieving the desired levels of utilization of such interventions.
    Journal of Biosocial Science 05/2014; 47(1):1-17. DOI:10.1017/S0021932014000170 · 0.98 Impact Factor
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    • "In this regard, development of a road map for mHealth implementation science is warranted. Implementation science is a field that explicitly aims to improve the uptake, implementation, and translation of actionable research findings into real world programs [39,40] and, as such, an implementation science agenda will ultimately focus the global community on the design, development, and use of technologies that have a demonstrable impact(s). "
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    ABSTRACT: This systematic review assesses the published literature to describe the landscape of mobile health technology (mHealth) for HIV/AIDS and the evidence supporting the use of these tools to address the HIV prevention, care, and treatment cascade. The speed of innovation, broad range of initiatives and tools, and heterogeneity in reporting have made it difficult to uncover and synthesize knowledge on how mHealth tools might be effective in addressing the HIV pandemic. To do address this gap, a team of reviewers collected literature on the use of mobile technology for HIV/AIDS among health, engineering, and social science literature databases and analyzed a final set of 62 articles. Articles were systematically coded, assessed for scientific rigor, and sorted for HIV programmatic relevance. The review revealed evidence that mHealth tools support HIV programmatic priorities, including: linkage to care, retention in care, and adherence to antiretroviral treatment. In terms of technical features, mHealth tools facilitate alerts and reminders, data collection, direct voice communication, educational messaging, information on demand, and more. Studies were mostly descriptive with a growing number of quasi-experimental and experimental designs. There was a lack of evidence around the use of mHealth tools to address the needs of key populations, including pregnant mothers, sex workers, users of injection drugs, and men who have sex with men. The science and practice of mHealth for HIV are evolving rapidly, but still in their early stages. Small-scale efforts, pilot projects, and preliminary descriptive studies are advancing and there is a promising trend toward implementing mHealth innovation that is feasible and acceptable within low-resource settings, positive program outcomes, operational improvements, and rigorous study design
    The Open AIDS Journal 08/2013; 7(1):17-41. DOI:10.2174/1874613620130812003
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