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Scaling-up Innovations in Public Health. Nancy Edwards Professor, University of Ottawa, Scientific Director, Institute of Population and Public Health Canadian Institutes of Health Research.
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Scaling-up Innovationsin Public Health Nancy Edwards Professor, University of Ottawa, Scientific Director, Institute of Population and Public Health Canadian Institutes of Health Research
Canadian Institutes of Health ResearchInstitute of Population and Public HealthHealth Equity Mattershttp://www.cihr.ca/e/13777.html
Approach • Reviewed all titles from assembled literature to identify relevant studies • Identified public health “scenarios” that reflect different classes of innovation • Limited search for recent articles/reports (including review articles and case studies) pertinent to scenarios
Scaling-up Common Elements of Definitions • Series of processes to introduce innovation(s) with demonstrated effectiveness • Processes involve organizational and/or political intentionality • Aim for sustained improvements in coverage of, and equitable access to the innovations • Require program delivery structure/strategy
Classes of Innovation • Discrete • Multi-component and multi-level • Paradigmatic
Key Factors Limiting Scale-up (1) • Underestimating type and quantity of resources required • Implementation capacity - human, financial, infrastructural investments • System absorption capacity – governance, administrative, accountability and financial systems • Political and/or policy naivety • Not understanding actors involved – failure to get issue on policy agenda • Lack of long-term political commitment • Vested interests
Key Factors Limiting Scale-up (2) • Lack of attention to potential for scaling-up and sustainability during initial testing of innovation • Inattention to demand side of scale-up • Push versus pull • Over-emphasis on either vertical or horizontal spread of innovations
Key Factors Limiting Scale-up (3) • Inattention to temporal dimensions of scale-up • Spatial dimensions – coverage, reach, availability and accessibility of services • Temporal dimensions – differential rate of change at each system level
Public Health Scenarios • H1N1 vaccination • Tobacco control • Policy change and built environment
H1N1Key Learnings • preparing for a range of potential epidemic scenarios • deploying an ethical and cost-effective approach to distribute a limited resource (vaccine and tamiflu) • media rapidly increased the demand side for vaccines • scale-up constrained provision of other essential public health services • Highlighted importance of a systems approach for effective scale-up
H1N1Research Questions • What gets scaled-down and what are the short and long-term impacts of scaling-down programs when surge responses are required to deal with a public health crisis? • What are the critical elements required for components of a system (both those under the authority of health ministries and those outside their authority) to work most effectively as a responsive and adaptive system for rapid scale-up?
Tobacco ControlKey Learnings • government commitment at all levels essential to resource a comprehensive and long-term multi-faceted tobacco control strategy • coalitions and alliances maintained momentum towards tobacco reduction goals • monitoring and evaluation systems informed decisions about progress (e.g. shifts in patterns of tobacco use and types of tobacco used) • constant vigilance has been required to identify counter measures by the tobacco industry
Tobacco ControlResearch Questions • What can be learned about successful efforts to scale-up the adoption of lifestyle changes by the private sector within and across jurisdictions? • How do national and international conventions on product control (e.g. control of tobacco products) exert their influence within and across jurisdictions?
Policy and built environmentKey Learnings • enduring and omnipresent influence of the built environment on all types of human activities • other sectors play key role in planning, designing and constructing the built environment • built environment exemplifies historical and structural influences that create system rigidity, potentially reinforcing inequities across social strata
Policy and built environmentResearch Questions • Does modeling the projected scaled-up impact of the built environment shift decisions about options for land use, urban design, transportation corridors or housing developments?
Highlights - What we know • Scaling up involves a complex chain of pathways, and adaptive changes to the innovation in a dynamic context • Many factors external to the innovation influence scale-up including system absorption capacity, governance mechanisms, partnerships, political will, leadership, and financial accountability structures • Policy windows of opportunity may set the stage for initiating scale-up change processes, while alliances may help maintain momentum for longer-term scale-up • Both horizontal and vertical dimensions of scaling-up are important
Highlights - What we don’t know • Approaches to scale-up that optimally strengthen equity, while improving overall health status. • Direct and indirect costs of scale up. • What is required for initial versus sustained scale-up. • Comparative effectiveness of approaches to scaling up-across classes of innovations and under a range of contextual conditions (governance, financing, leadership, political support). • Intersection of scaling-up and scaling-down processes.
Recommendations - Highlights • A typology for classes of innovation in public health requires further development. • A framework is needed for the contextual analysis of scale-up. • Research on the scale-up of public health innovations should include equity outcomes. • Temporal dimensions of scaling-up require further study. • Identify what monitoring and feedback systems are needed to better capture scaling-up processes and integrate these systems into the planned scale-up of large initiatives. • De-scaling - how to remove innovations that have already gone to scale - warrants more attention.