2010-01-01
Background Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. Discussion We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. Summary In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved. PMID:20504357
McCaughey, Deirdre; Bruning, Nealia S
2010-05-26
Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved.
[The role of research-based evidence in health system policy decision-making].
Patiño, Daniel; Lavis, John N; Moat, Kaelan
2013-01-01
Different models may be used for explaining how research-based evidence is used in healthcare system policy-making. It is argued that models arising from a clinical setting (i.e. evidence-based policy-making model) could be useful regarding some types of healthcare system decision-making. However, such models are "silent" concerning the influence of political contextual factors on healthcare policy-making and are thus inconsistent with decision-making regarding the modification of healthcare system arrangements. Other political science-based models would seem to be more useful for understanding that research is just one factor affecting decision-making and that different types of research-based evidence can be used instrumentally, conceptual or strategically during different policy-making stages.
Reddy, K Srikanth; Sahay, Seema
2016-01-01
This study explores decision makers' perspectives on evidence-based policy (EBP) development using the case of TB/HIV co-infection in India. Twelve in-depth interviews were conducted with purposively selected key national and international policy decision makers in India. Verbatim transcripts were processed and analysed thematically using QSR (NUD*IST 6). The decision makers were unequivocal in recognizing the TB/HIV co-infection as an important public health issue in India and stated the problem to be different than Africa. The need of having a "third programme" for co-infection was not felt. According to them, the public health management of this co-infection must be within the realm of these two programmes. The study also emphasized on decision makers' perspectives on evidence and the process of utilization of evidence for decision-making for co-infection. Study findings showed global evidence was not always accepted by the decision makers and study shows several examples of decision makers demanding local evidence for policy decisions. Decision makers did make interim policies based on global evidence but most of the time their mandate was to get local evidence. Thus, operations research/implementation science especially multi-centric studies emerge as important strategy for EBP development. Researcher-policy maker interface was a gap where role of researcher as aggressive communicator of research findings was expected.
Evidence-based practice of transfusion medicine: is it possible and what do the words mean?
Vamvakas, Eleftherios C
2004-10-01
Evidence-based medicine (EBM) optimizes clinical decision making by dictating that clinical decisions be based on the best available research evidence and by integrating best research evidence with clinical expertise and patient values. Several rankings of the strength of the evidence generated from different types of clinical research designs have been presented, and, in addressing a particular problem, clinicians can base their decision making on the types of clinical reports that have been published, along with an assessment of the strengths and weaknesses of each study. At a policy level, the concept of EBM would dictate that policy decisions also be made based on the best available research evidence. In transfusion medicine, however, decisions are based on a broader range of inputs, and the criteria for evaluating the efficacy and/or cost-effectiveness of proposed interventions differ from those used in other areas. Reasons why policy decisions are often based on considerations other than the best research evidence include public expectations about transfusion safety and proposals for applying the precautionary principle to transfusion medicine. Using the debate over the appropriateness of introducing universal white-cell reduction as an example, this review describes 2 perspectives for assessing evidence and/or making clinical or policy decisions: the evidence-based approach and the precautionary-principle approach; and also considers whether decisions in transfusion medicine can be truly evidence based.
Demeter, Sandor J
2016-12-21
Health care providers (HCP) and clinical scientists (CS) are generally most comfortable using evidence-based rational decision-making models. They become very frustrated when policymakers make decisions that, on the surface, seem irrational and unreasonable. However, such decisions usually make sense when analysed properly. The goal of this paper to provide a basic theoretical understanding of major policy models, to illustrate which models are most prevalent in publicly funded health care systems, and to propose a policy analysis framework to better understand the elements that drive policy decision-making. The proposed policy framework will also assist HCP and CS achieve greater success with their own proposals.
Social work and end-of-life decisions: self-determination and the common good.
Wesley, C A
1996-05-01
Client self-determination is the key element of NASW's policy statement about social work intervention in end-of-life decisions. However, both self-determination and the common good must be respected in social work practice and policy regarding end-of-life decisions. This article discusses self-determination in end-of-life decision making, ethical decision making and the NASW Code of Ethics, and professional ethics based on a balanced view of both self-determination and the common good. Recommendations for professional practice and social policy are offered.
The impact of management science on political decision making
NASA Technical Reports Server (NTRS)
White, M. J.
1971-01-01
The possible impact on public policy and organizational decision making of operations research/management science (OR/MS) is discussed. Criticisms based on the assumption that OR/MS will have influence on decision making and criticisms based on the assumption that it will have no influence are described. New directions in the analysis of analysis and in thinking about policy making are also considered.
Sensitivity Analysis in Sequential Decision Models.
Chen, Qiushi; Ayer, Turgay; Chhatwal, Jagpreet
2017-02-01
Sequential decision problems are frequently encountered in medical decision making, which are commonly solved using Markov decision processes (MDPs). Modeling guidelines recommend conducting sensitivity analyses in decision-analytic models to assess the robustness of the model results against the uncertainty in model parameters. However, standard methods of conducting sensitivity analyses cannot be directly applied to sequential decision problems because this would require evaluating all possible decision sequences, typically in the order of trillions, which is not practically feasible. As a result, most MDP-based modeling studies do not examine confidence in their recommended policies. In this study, we provide an approach to estimate uncertainty and confidence in the results of sequential decision models. First, we provide a probabilistic univariate method to identify the most sensitive parameters in MDPs. Second, we present a probabilistic multivariate approach to estimate the overall confidence in the recommended optimal policy considering joint uncertainty in the model parameters. We provide a graphical representation, which we call a policy acceptability curve, to summarize the confidence in the optimal policy by incorporating stakeholders' willingness to accept the base case policy. For a cost-effectiveness analysis, we provide an approach to construct a cost-effectiveness acceptability frontier, which shows the most cost-effective policy as well as the confidence in that for a given willingness to pay threshold. We demonstrate our approach using a simple MDP case study. We developed a method to conduct sensitivity analysis in sequential decision models, which could increase the credibility of these models among stakeholders.
Bridge over troubled waters: A Synthesis Session to connect ...
Lack of access to relevant scientific data has limited decision makers from incorporating scientific information into their management and policy schemes. Yet, there is increasing interest among decision makers and scientists to integrate coastal and marine science into the policy and management process. Strategies designed to build communication between decision makers and scientists can be an effective means to disseminate and/or generate policy relevant scientific information. Here researchers develop, test, and present a workshop model designed to bridge the gap between coastal and marine decision makers and scientists. Researchers identify successful components of such a workshop as well as areas for improvement and recommendations to design and conduct similar workshops in the future. This novel workshop format can be used in other fora to effectively connect decision makers and scientists, and to initiate an iterative process to generate and transfer policy relevant scientific information into evidence-based decisions, an important element in protecting coastal and marine resources. In this paper we develop and present a model for increasing collaboration between scientists and decision makers to promote evidence based decisions. Successes and areas for improvement in the tested model are discussed. This novel workshop model is intended to build and sustain connections, with the ultimate goal of creating better policy and management practices. In a recent
The Two-Communities Theory and Knowledge Utilization.
ERIC Educational Resources Information Center
Caplan, Nathan
1979-01-01
Discusses strategies to improve policy makers' utilization of research based on the "two-communities" theory that social scientists and policy makers live in two different worlds. Notes that for high level decision making, collaboration must involve more general problems and a decision to use either data-based or nonresearch knowledge for solving…
Geddie, Hannah; Dobrow, Mark J; Hoch, Jeffrey S; Rabeneck, Linda
2012-06-01
Health-policy decision making is a complex and dynamic process, for which strong evidentiary support is required. This includes scientifically produced research, as well as information that relates to the context in which the decision takes place. Unlike scientific evidence, this "contextual evidence" is highly variable and often includes information that is not scientifically produced, drawn from sources such as political judgement, program management experience and knowledge, or public values. As the policy decision-making process is variable and difficult to evaluate, it is often unclear how this heterogeneous evidence is identified and incorporated into "evidence-based policy" decisions. Population-based colorectal cancer screening poses an ideal context in which to examine these issues. In Canada, colorectal cancer screening programs have been established in several provinces over the past five years, based on the fecal occult blood test (FOBT) or the fecal immunochemical test. However, as these programs develop, new scientific evidence for screening continues to emerge. Recently published randomized controlled trials suggest that the use of flexible sigmoidoscopy for population-based screening may pose a greater reduction in mortality than the FOBT. This raises the important question of how policy makers will address this evidence, given that screening programs are being established or are already in place. This study will examine these issues prospectively and will focus on how policy makers monitor emerging scientific evidence and how both scientific and contextual evidence are identified and applied for decisions about health system improvement. This study will employ a prospective multiple case study design, involving participants from Ontario, Alberta, Manitoba, Nova Scotia, and Quebec. In each province, data will be collected via document analysis and key informant interviews. Documents will include policy briefs, reports, meeting minutes, media releases, and correspondence. Interviews will be conducted in person with senior administrative leaders, government officials, screening experts, and high-level cancer system stakeholders. The proposed study comprises the third and final phase of an Emerging Team grant to address the challenges of health-policy decision making and colorectal cancer screening decisions in Canada. This study will contribute a unique prospective look at how policy makers address new, emerging scientific evidence in several different policy environments and at different stages of program planning and implementation. Findings will provide important insight into the various approaches that are or should be used to monitor emerging evidence, the relative importance of scientific versus contextual evidence for decision making, and the tools and processes that may be important to support challenging health-policy decisions.
Schuurman, Nadine; Leight, Margo; Berube, Myriam
2008-01-01
Background The creation of successful health policy and location of resources increasingly relies on evidence-based decision-making. The development of intuitive, accessible tools to analyse, display and disseminate spatial data potentially provides the basis for sound policy and resource allocation decisions. As health services are rationalized, the development of tools such graphical user interfaces (GUIs) is especially valuable at they assist decision makers in allocating resources such that the maximum number of people are served. GIS can used to develop GUIs that enable spatial decision making. Results We have created a Web-based GUI (wGUI) to assist health policy makers and administrators in the Canadian province of British Columbia make well-informed decisions about the location and allocation of time-sensitive service capacities in rural regions of the province. This tool integrates datasets for existing hospitals and services, regional populations and road networks to allow users to ascertain the percentage of population in any given service catchment who are served by a specific health service, or baskets of linked services. The wGUI allows policy makers to map trauma and obstetric services against rural populations within pre-specified travel distances, illustrating service capacity by region. Conclusion The wGUI can be used by health policy makers and administrators with little or no formal GIS training to visualize multiple health resource allocation scenarios. The GUI is poised to become a critical decision-making tool especially as evidence is increasingly required for distribution of health services. PMID:18793428
[Hospital self-management policy in Chile: perceptions of decision-makers].
Méndez, Claudio A; Miranda, Christian; Torres, M Cristina; Márquez, Myriam
2013-01-01
To learn the perceptions of decision-makers concerning the imple-men-t-ation stage of a hospital self-management policy in two highly complex hospitals in southern Chile. A descriptive, exploratory, qualitative study based on semi-structured in-depth interviews of decision-makers at the Regional Hospital of Valdivia and the Hospital San José de Osorno from August 2010 to December 2011. A convenience sample of 26 decision-makers was selected. The 26 interviews were recorded and transcribed verbatim. The information was analyzed using inductive content analysis. The interviewees consider the concept of self-management to be determined by autonomy in decision-making about resource allocation and the financing of health service delivery in the hospitals. They also stated that human resources and financing policies should be included to improve the implementation stage. They related weaknesses with the lack of organizational capabilities and managerial skills in the health teams implementing the changes. Conceptually, the hospital self-management policy is based on financial autonomy, and implementation is affected by persistent capacity gaps in policy design.
Role-based access control permissions
Staggs, Kevin P.; Markham, Thomas R.; Hull Roskos, Julie J.; Chernoguzov, Alexander
2017-04-25
Devices, systems, and methods for role-based access control permissions are disclosed. One method includes a policy decision point that receives up-to-date security context information from one or more outside sources to determine whether to grant access for a data client to a portion of the system and creates an access vector including the determination; receiving, via a policy agent, a request by the data client for access to the portion of the computing system by the data client, wherein the policy agent checks to ensure there is a session established with communications and user/application enforcement points; receiving, via communications policy enforcement point, the request from the policy agent, wherein the communications policy enforcement point determines whether the data client is an authorized node, based upon the access vector received from the policy decision point; and receiving, via the user/application policy enforcement point, the request from the communications policy enforcement point.
Evidence based policy making in the European Union: the role of the scientific community.
Majcen, Špela
2017-03-01
In the times when the acquis of the European Union (EU) has developed so far as to reach a high level of technical complexity, in particular in certain policy fields such as environmental legislation, it is important to look at what kind of information and data policy decisions are based on. This position paper looks at the extent to which evidence-based decision-making process is being considered in the EU institutions when it comes to adopting legislation in the field of environment at the EU level. The paper calls for closer collaboration between scientists and decision-makers in view of ensuring that correct data is understood and taken into consideration when drafting, amending, negotiating and adopting new legal texts at all levels of the EU decision-making process. It concludes that better awareness of the need for such collaboration among the decision-makers as well as the scientific community would benefit the process and quality of the final outcomes (legislation).
Research evidence utilization in policy development by child welfare administrators.
Jack, Susan; Dobbins, Maureen; Tonmyr, Lil; Dudding, Peter; Brooks, Sandy; Kennedy, Betty
2010-01-01
An exploratory qualitative study was conducted to explore how child welfare administrators use research evidence in decision-making. Content analysis revealed that a cultural shift toward evidence-based practice (EBP) is occurring in Canadian child welfare organizations and multiple types of evidence inform policy decisions. Barriers to using evidence include individual, organizational, and environmental factors. Facilitating factors include the development of internal champions and organizational cultures that value EBP. Integrating research into practice and policy decisions requires a multifaceted approach of creating organizational cultures that support research utilization and supporting senior bureaucrats to use research evidence in policy development.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Essiari, Abdelilah; Mudumbai, Srilehka; Thompson, Mary
Akenti is an authorization service for distributed resources. The authorization policy is kept in distributed certificates signed by one or more stakeholders for the resources. The package consists of the following components: Java GUI tools to create and sign the policy certificates C++ libraries to do make acess decisions based on the policy certificates A standalone authorization server that make access decisions C interfaces to the libraries and server
Value focused rationality in AIDS policy.
Wenstøp, F; Magnus, P
2001-07-01
A health policy analysis to contain the effects of the HIV epidemic in Norway has been carried out. It was performed as a Multi Criteria Decision Analysis where participants in a decision panel used personal values to weight benefits and costs of alternative policies. The analysis is of particular interest since Norway afterwards adopted a controversial HIV policy: the authorities warned the general population against sexual relations with immigrants from countries south of Sahara. The policy might reap benefits, but a certain cost was to stigmatise that group. This paper describes the analysis and defends the underlying consequentialistic ethics against other approaches involving rule-based ethics and benefit-cost analysis. The main argument is based on Hume's insight that reason alone does not prompt action; values will always be involved and should therefore be more explicitly focused on. The paper concludes that we need an extended notion of rationality that includes well-foundedness of values. Decision-makers should try to reach an emotional equilibrium where their values concerning the issue at hand become stable. The paradigm of decision analysis provides useful methods to approach this situation, although it must be considered only an input to policy rather than something producing a final answer.
Midmarket Solar Policies in the United States: A Guide for Midsized Solar Customers
DOE Office of Scientific and Technical Information (OSTI.GOV)
Tian, Tian; Liu, Chang; O'Shaughnessy, Eric
The midscale market for solar photovoltaics (PV) has not experienced the same high growth rate as residential- or utility-scale market segments in the past five years when solar PV deployment increased rapidly. Midscale solar can be defined as behind-the-meter solar PV between 50 kilowatts and 2 megawatts adopted by multi-housing residential, commercial, industrial, non-profit, and other entities. A number of challenges face the midscale segment, including difficulties in contracting, mismatch between tenant lease and PV financing terms, high transaction costs relative to project sizes, and inefficiencies in matching prospective projects with capital. The changing policy landscape across U.S. states providesmore » both opportunities and challenges to midmarket solar. Some states, such as California, are expanding system capacity limits for policies such as net metering, thus enabling a wider range of customers to benefit from excess generation. A number of states and utilities are making changes to rate design to introduce new or higher user fees for solar customers or reduced tariffs for net metering, which decrease the value of solar generation. An understanding of these policies relative to project feasibility and economics is important for prospective customers to make informed decisions to adopt solar PV. This guide complements existing solar policy resources to help potential customers navigate through the policy landscape in order to make informed decisions for their solar investment. The first part of this guide introduces the key solar policies necessary for policy-based decision-making, which involves using knowledge of a solar policy to improve project economics and efficiency. Policies that could result in policy-based decisions include interconnection standards, net metering, user fees, incentives, and third-party ownership policies. The goal of this section is to equip prospective customers and project developers with the tools necessary to understand and use solar policies in a dynamic policy environment. The second part of this guide provides a complete, state-by-state inventory of midmarket solar policies for potential customers and developers to use as reference when making policy-based decisions. Although solar policies are dynamic, the profiles provide a framework for assessing policies to build the parameters that could be used to determine feasibility and structure of a solar PV system for midmarket customers and developers.« less
GLIMPSE: a rapid decision framework for energy and environmental policy.
Akhtar, Farhan H; Pinder, Robert W; Loughlin, Daniel H; Henze, Daven K
2013-01-01
Over the coming decades, new energy production technologies and the policies that oversee them will affect human health, the vitality of our ecosystems, and the stability of the global climate. The GLIMPSE decision model framework provides insights about the implications of technology and policy decisions on these outcomes. Using GLIMPSE, decision makers can identify alternative techno-policy futures, examining their air quality, health, and short- and long-term climate impacts. Ultimately, GLIMPSE will support the identification of cost-effective strategies for simultaneously achieving performance goals for these metrics. Here, we demonstrate the utility of GLIMPSE by analyzing several future energy scenarios under existing air quality regulations and potential CO2 emission reduction policies. We find opportunities for substantial cobenefits in setting both climate change mitigation and health-benefit based air quality improvement targets. Though current policies which prioritize public health protection increase near-term warming, establishing policies that also reduce greenhouse gas emissions may offset warming in the near-term and lead to significant reductions in long-term warming.
Parker, Lisa
2017-07-01
Values are an important part of evidence-based decision making for health policy: they guide the type of evidence that is collected, how it is interpreted, and how important the conclusions are considered to be. Experts in breast screening (including clinicians, researchers, consumer advocates and senior administrators) hold differing values in relation to what is important in breast screening policy and practice, and committees may find it difficult to incorporate the complexity and variety of values into policy decisions. The decision making tool provided here is intended to assist with this process. The tool is modified from more general frameworks that are intended to assist with ethical decision making in public health, and informed by data drawn from previous empirical studies on values amongst Australian breast screening experts. It provides a structured format for breast screening committees to consider and discuss the values of themselves and others, suggests relevant topics for further inquiry and highlights areas of need for future research into the values of the public. It enables committees to publicly explain and justify their decisions with reference to values, improving transparency and accountability. It is intended to act alongside practices that seek to accommodate the values of individual women in the informed decision making process for personal decision making about participation in breast screening. Copyright © 2017 Elsevier B.V. All rights reserved.
Assessing Efficiency of GDP Revisions in South Africa
ERIC Educational Resources Information Center
Ncwadi, Ronney
2016-01-01
Gross Domestic Product of any country often influence economic decisions by policy makers, market participants and econometricians on policy recommendations, evaluation and forecasting. However these decisions are often based on preliminary data announcements by statistical agencies. It is therefore important to ensure that the preliminary GDP…
Malterud, Kirsti; Bjelland, Anne Karen; Elvbakken, Kari Tove
2016-03-05
Evidence-based policy (EBP), a concept modelled on the principles of evidence-based medicine (EBM), is widely used in different areas of policymaking. Systematic reviews (SRs) with meta-analyses gradually became the methods of choice for synthesizing research evidence about interventions and judgements about quality of evidence and strength of recommendations. Critics have argued that the relation between research evidence and service policies is weak, and that the notion of EBP rests on a misunderstanding of policy processes. Having explored EBM standards and knowledge requirements for health policy decision-making, we present an empirical point of departure for discussing the relationship between EBM and EBP. In a case study exploring the Norwegian Knowledge Centre for the Health Services (NOKC), an independent government unit, we first searched for information about the background and development of the NOKC to establish a research context. We then identified, selected and organized official NOKC publications as an empirical sample of typical top-of-the-line knowledge delivery adhering to EBM standards. Finally, we explored conclusions in this type of publication, specifically addressing their potential as policy decision tools. From a total sample of 151 SRs published by the NOKC in the period 2004-2013, a purposive subsample from 2012 (14 publications) advised major caution about their conclusions because of the quality or relevance of the underlying documentation. Although the case study did not include a systematic investigation of uptake and policy consequences, SRs were found to be inappropriate as universal tools for health policy decision-making. The case study demonstrates that EBM is not necessarily suited to knowledge provision for every kind of policy decision-making. Our analysis raises the question of whether the evidence-based movement, represented here by an independent government organization, undertakes too broad a range of commissions using strategies that seem too confined. Policymaking in healthcare should be based on relevant and transparent knowledge, taking due account of the context of the intervention. However, we do not share the belief that the complex and messy nature of policy processes in general is compatible with the standards of EBM.
Schemann, K; Gillespie, J A; Toribio, J-A L M L; Ward, M P; Dhand, N K
2014-10-01
Rapid, evidence-based decision-making is critical during a disease outbreak response; however, compliance by stakeholders is necessary to ensure that such decisions are effective - especially if the response depends on voluntary action. This mixed method study evaluated technical policy decision-making processes during the 2007 outbreak of equine influenza in Australia by identifying and analysing the stakeholder network involved and the factors driving policy decision-making. The study started with a review of the outbreak literature and published policy documents. This identified six policy issues regarding policy modifications or differing interpretations by different state agencies. Data on factors influencing the decision-making process for these six issues and on stakeholder interaction were collected using a pre-tested, semi-structured questionnaire. Face-to-face interviews were conducted with 24 individuals representing 12 industry and government organizations. Quantitative data were analysed using social network analysis. Qualitative data were coded and patterns matched to test a pre-determined general theory using a method called theory-oriented process-tracing. Results revealed that technical policy decisions were framed by social, political, financial, strategic and operational considerations. Industry stakeholders had influence through formal pre-existing channels, yet specific gaps in stakeholder interaction were overcome by reactive alliances formed during the outbreak response but outside the established system. Overall, the crisis management system and response were seen as positive, and 75-100% of individuals interviewed were supportive of, had interest in and considered the outcome as good for the majority of policy decisions, yet only 46-75% of those interviewed considered that they had influence on these decisions. Training to increase awareness and knowledge of emergency animal diseases (EADs) and response systems will improve stakeholder participation in emergency disease management and preparedness for future EAD incursions. © 2012 Blackwell Verlag GmbH.
Wu, Shishi; Legido-Quigley, Helena; Spencer, Julia; Coker, Richard James; Khan, Mishal Sameer
2018-02-23
In light of the gap in evidence to inform future resource allocation decisions about healthcare provider (HCP) training in low- and middle-income countries (LMICs), and the considerable donor investments being made towards training interventions, evaluation studies that are optimally designed to inform local policy-makers are needed. The aim of our study is to understand what features of HCP training evaluation studies are important for decision-making by policy-makers in LMICs. We investigate the extent to which evaluations based on the widely used Kirkpatrick model - focusing on direct outcomes of training, namely reaction of trainees, learning, behaviour change and improvements in programmatic health indicators - align with policy-makers' evidence needs for resource allocation decisions. We use China as a case study where resource allocation decisions about potential scale-up (using domestic funding) are being made about an externally funded pilot HCP training programme. Qualitative data were collected from high-level officials involved in resource allocation at the national and provincial level in China through ten face-to-face, in-depth interviews and two focus group discussions consisting of ten participants each. Data were analysed manually using an interpretive thematic analysis approach. Our study indicates that Chinese officials not only consider information about the direct outcomes of a training programme, as captured in the Kirkpatrick model, but also need information on the resources required to implement the training, the wider or indirect impacts of training, and the sustainability and scalability to other settings within the country. In addition to considering findings presented in evaluation studies, we found that Chinese policy-makers pay close attention to whether the evaluations were robust and to the composition of the evaluation team. Our qualitative study indicates that training programme evaluations that focus narrowly on direct training outcomes may not provide sufficient information for policy-makers to make decisions on future training programmes. Based on our findings, we have developed an evidence-based framework, which incorporates but expands beyond the Kirkpatrick model, to provide conceptual and practical guidance that aids in the design of training programme evaluations better suited to meet the information needs of policy-makers and to inform policy decisions.
Health policy in a new key: setting democratic priorities.
Jennings, B
1993-01-01
Health policy in the United States is entering an era in which explicitly value-based allocation decisions require direct attention. Policies concerning access to care, financing, and utilization management will necessarily have redistributive effects. For these policies to command social legitimacy and political support, some consensus will have to emerge around the values and ideals justifying these policies. This article addresses the problems of conceptual clarification and democratic process raised by the prospect of an explicitly value-based allocation policy. It offers a conceptual matrix distinguishing the scope of the issue of allocation in health care. Drawing on the activities of community health decisions projects in several states, it also offers suggestions about building a participatory and educational process at the grassroots level that might lead to a democratic consensus suitable for guiding policy choice.
NASA Astrophysics Data System (ADS)
Dilling, L.; Pielke, R.; Sarewitz, D.
2005-12-01
Despite all good intentions, it is clear that science intended to serve decision making needs often fails to achieve that purpose. The aftermath of Hurricane Katrina provides a recent, tragic example. The reasons for failures of science to support decision making are varied. Researchers studying forecasts of climate variability have found, for example, cases where information provided is not needed; information is needed but not provided; information lacks regional specificity; information is provided in an inaccessible form; poor communication exists between potential users and providers; there is a lack of trust in information or deliverers; institutional constraints prevent use of new information; and so on. Traditional science policies have institutionalized the separation of the conduct of science from its application and use. It is clear that as long as such a separation, reinforced by tradition, institution and culture, is the dominant paradigm of science policies, the efficient and effective use of science in environmental and water-related decision making will be hampered. We introduce here a research methodology for examining the decision making involved in setting science policies for research aimed at being useful. Based on the economic concept, the notion of "reconciling supply and demand" for information offers a framework for identifying missed opportunities where science policies can be adjusted to improve the usefulness of a given research portfolio. We present results from a case study focused on internal science policies and decision making within the Regional Integrated Sciences and Assessments (RISA) projects. The RISA program aims to "expand the range of choices available to private and public communities in a region, by...enabling practical decisions...using research-based knowledge" and so provides an excellent opportunity for harvesting lessons for creating usable science.
What Is a Culture of Evidence? How Do You Get One? And... Should You Want One?
ERIC Educational Resources Information Center
Peck, Charles A.; McDonald, Morva A.
2014-01-01
Background/Context: Contemporary state and national policy rhetoric reflects increased press for "evidence-based" decision making within programs of teacher education, including admonitions that programs develop a "culture of evidence" in making decisions regarding policy and practice. Recent case study reports suggest that…
Health care priority setting in Norway a multicriteria decision analysis
2012-01-01
Background Priority setting in population health is increasingly based on explicitly formulated values. The Patients Rights Act of the Norwegian tax-based health service guaranties all citizens health care in case of a severe illness, a proven health benefit, and proportionality between need and treatment. This study compares the values of the country's health policy makers with these three official principles. Methods In total 34 policy makers participated in a discrete choice experiment, weighting the relative value of six policy criteria. We used multi-variate logistic regression with selection as dependent valuable to derive odds ratios for each criterion. Next, we constructed a composite league table - based on the sum score for the probability of selection - to rank potential interventions in five major disease areas. Results The group considered cost effectiveness, large individual benefits and severity of disease as the most important criteria in decision making. Priority interventions are those related to cardiovascular diseases and respiratory diseases. Less attractive interventions rank those related to mental health. Conclusions Norwegian policy makers' values are in agreement with principles formulated in national health laws. Multi-criteria decision approaches may provide a tool to support explicit allocation decisions. PMID:22335815
Health care priority setting in Norway a multicriteria decision analysis.
Defechereux, Thierry; Paolucci, Francesco; Mirelman, Andrew; Youngkong, Sitaporn; Botten, Grete; Hagen, Terje P; Niessen, Louis W
2012-02-15
Priority setting in population health is increasingly based on explicitly formulated values. The Patients Rights Act of the Norwegian tax-based health service guaranties all citizens health care in case of a severe illness, a proven health benefit, and proportionality between need and treatment. This study compares the values of the country's health policy makers with these three official principles. In total 34 policy makers participated in a discrete choice experiment, weighting the relative value of six policy criteria. We used multi-variate logistic regression with selection as dependent valuable to derive odds ratios for each criterion. Next, we constructed a composite league table - based on the sum score for the probability of selection - to rank potential interventions in five major disease areas. The group considered cost effectiveness, large individual benefits and severity of disease as the most important criteria in decision making. Priority interventions are those related to cardiovascular diseases and respiratory diseases. Less attractive interventions rank those related to mental health. Norwegian policy makers' values are in agreement with principles formulated in national health laws. Multi-criteria decision approaches may provide a tool to support explicit allocation decisions.
Policy Tree Optimization for Adaptive Management of Water Resources Systems
NASA Astrophysics Data System (ADS)
Herman, J. D.; Giuliani, M.
2016-12-01
Water resources systems must cope with irreducible uncertainty in supply and demand, requiring policy alternatives capable of adapting to a range of possible future scenarios. Recent studies have developed adaptive policies based on "signposts" or "tipping points", which are threshold values of indicator variables that signal a change in policy. However, there remains a need for a general method to optimize the choice of indicators and their threshold values in a way that is easily interpretable for decision makers. Here we propose a conceptual framework and computational algorithm to design adaptive policies as a tree structure (i.e., a hierarchical set of logical rules) using a simulation-optimization approach based on genetic programming. We demonstrate the approach using Folsom Reservoir, California as a case study, in which operating policies must balance the risk of both floods and droughts. Given a set of feature variables, such as reservoir level, inflow observations and forecasts, and time of year, the resulting policy defines the conditions under which flood control and water supply hedging operations should be triggered. Importantly, the tree-based rule sets are easy to interpret for decision making, and can be compared to historical operating policies to understand the adaptations needed under possible climate change scenarios. Several remaining challenges are discussed, including the empirical convergence properties of the method, and extensions to irreversible decisions such as infrastructure. Policy tree optimization, and corresponding open-source software, provide a generalizable, interpretable approach to designing adaptive policies under uncertainty for water resources systems.
ERIC Educational Resources Information Center
Banker, Nancy Sirmay
This case study of a small suburban school district in the San Francisco Bay Area examines the interplay among individuals and groups within the district who make and implement policy decisions. The issue of awarding credit for experience-based learning focuses and directs the study. As an introduction to examination of the ways decisions are…
NASA Astrophysics Data System (ADS)
Wu, Zhihui; Chen, Dongyan; Yu, Hui
2016-07-01
In this paper, the problem of the coordination policy is investigated for vendor-managed consignment inventory supply chain subject to consumer return. Here, the market demand is assumed to be affected by promotional effort and consumer return policy. The optimal consignment inventory and the optimal promotional effort level are proposed under the decentralized and centralized decisions. Based on the optimal decision conditions, the markdown allowance-promotional cost-sharing contract is investigated to coordinate the supply chain. Subsequently, the comparison between the two extreme policies shows that full-refund policy dominates the no-return policy when the returning cost and the positive effect of return policy are satisfied certain conditions. Finally, a numerical example is provided to illustrate the impacts of consumer return policy on the coordination contract and optimal profit as well as the effectiveness of the proposed supply chain decision.
Proceedings from a one-day workshop cosponsored by US EPA Office of Economy and Environment and National Center for Environmental Research and the National Science Foundation Decision, Risk,and Management Science Program on community-based decision making
Solutions to pervasive environmental problems often are not amenable to a straightforward application of science-based actions. These problems encompass large-scale environmental policy questions where environmental concerns, economic constraints, and societal values conflict ca...
Enhancing the role of science in the decision-making of the European Union.
Allio, Lorenzo; Ballantine, Bruce; Meads, Richard
2006-02-01
Used well, science provides effective ways of identifying potential risks, protecting citizens, and using resources wisely. It enables government decisions to be based on evidence and provides a foundation for a rule-based framework that supports global trade. To ensure that the best available science becomes a key input in the decisions made by EU institutions, this abridged version of a working paper produced for the European Policy Centre, a leading, independent think tank, considers how science is currently used in the policy and decision-making processes of the EU, what the limitations of scientific evidence are, and how a risk assessment process based on scientific 'good practices' can be advantageous. Finally, the paper makes recommendations on how to improve the use of science by EU institutions.
Abstract for presentation. Advances in genomics will have significant implications for risk assessment policies and regulatory decision making. In 2002, EPA issued its lnterim Policy on Genomics which stated that such data may be considered in the decision making process, but tha...
Historical Reflection on Advocacy in the Psychology of Intellectual Disability
ERIC Educational Resources Information Center
Routh, Donald K.
2005-01-01
Advocacy by psychologists has often been portrayed as requiring immersion in the processes of public policy. In the area of intellectual disability, many relevant laws have been passed, court cases fought, and administrative decisions made. These policy decisions have, however, sometimes been based on a division of labor, with psychologists doing…
Sarkies, Mitchell N; White, Jennifer; Morris, Meg E; Taylor, Nicholas F; Williams, Cylie; O'Brien, Lisa; Martin, Jenny; Bardoel, Anne; Holland, Anne E; Carey, Leeanne; Skinner, Elizabeth H; Bowles, Kelly-Ann; Grant, Kellie; Philip, Kathleen; Haines, Terry P
2018-04-24
It is widely acknowledged that health policy and practice do not always reflect current research evidence. Whether knowledge transfer from research to practice is more successful when specific implementation approaches are used remains unclear. A model to assist engagement of allied health managers and clinicians with research implementation could involve disseminating evidence-based policy recommendations, along with the use of knowledge brokers. We developed such a model to aid decision-making for the provision of weekend allied health services. This protocol outlines the design and methods for a multi-centre cluster randomised controlled trial to evaluate the success of research implementation strategies to promote evidence-informed weekend allied health resource allocation decisions, especially in hospital managers. This multi-centre study will be a three-group parallel cluster randomised controlled trial. Allied health managers from Australian and New Zealand hospitals will be randomised to receive either (1) an evidence-based policy recommendation document to guide weekend allied health resource allocation decisions, (2) the same policy recommendation document with support from a knowledge broker to help implement weekend allied health policy recommendations, or (3) a usual practice control group. The primary outcome will be alignment of weekend allied health service provision with policy recommendations. This will be measured by the number of allied health service events (occasions of service) occurring on weekends as a proportion of total allied health service events for the relevant hospital wards at baseline and 12-month follow-up. Evidence-based policy recommendation documents communicate key research findings in an accessible format. This comparatively low-cost research implementation strategy could be combined with using a knowledge broker to work collaboratively with decision-makers to promote knowledge transfer. The results will assist managers to make decisions on resource allocation, based on evidence. More generally, the findings will inform the development of an allied health model for translating research into practice. This trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) ( ACTRN12618000029291 ). Universal Trial Number (UTN): U1111-1205-2621.
Informed Ignorance and the Difficulty of Using Guidelines in Policy Processes
ERIC Educational Resources Information Center
Fernler, Karin
2015-01-01
Based on an ethnographic study, this article investigates an attempt by a multidisciplinary group to employ pre-developed guidelines for producing a knowledge base that was to be used in a policy decision. The article contributes to previous studies of the development and use of knowledge-based guidelines and knowledge syntheses in policy-research…
ERIC Educational Resources Information Center
Superfine, Benjamin Michael
2009-01-01
Courts hearing school finance reform cases have recently begun to consider several issues related to standards-based accountability policies. This convergence of school finance reform litigation and standards-based accountability policies represents a chance for the courts to reallocate decision-making authority for each type of reform across the…
From Research to Policy and Back
ERIC Educational Resources Information Center
Huston, Aletha C.
2008-01-01
Although science policy and social policy have distinct cultures, there are overlapping influences on both. Science policy decisions across the spectrum of basic and applied research are influenced by perceived social utility and the potential for solving current social problems. With the advent of evidence-based policy requirements, social…
How should treatment costs impact on physician's decisions?
Neymark, N
1999-01-01
This article first discusses at what level of clinical decision making cost considerations may be most pertinent and important. It is argued that cost assessments will be of most relevance and value at an intermediate level of clinical decision making i.e. at a level where so-called policy decisions are made. These are decisions such as which drugs to include in a hospital formulary or which standard treatment 'protocols' to choose for particular types of patients. The personal encounter between individual patients and physicians will take place within the framework of available treatment options determined by these policy decisions, which must necessarily be based on a prior assessment of the expected costs and benefits of treatments. The article goes on to give a brief introduction to the various methods of economic evaluation that have been developed in order to provide the decision makers with the means to make policy decisions on the basis of the most reliable and pertinent information possible.
Degeling, Chris; Rychetnik, Lucie; Street, Jackie; Thomas, Rae; Carter, Stacy M
2017-04-01
Citizens'/community juries [CJs] engage members of the public in policy decision-making processes. CJs can be employed to develop policy responses to health problems that require the consideration of both community values and scientific evidence. Based on the principles of deliberative democracy, recent reviews indicate that findings from CJs have successfully been used to influence health policy decision-making. Despite this evidence of success, there appears to be a gap between the goals of health researchers who organize CJs and the needs of policy actors and decision makers. Drawing on our experiences working with CJs and recent research on CJ methods, we describe a synopsis of the current state of the art organized around four key questions, and informed by insights from deliberative theory and critical policy studies. Our intention is to stimulate further discussion as to the types of health policy questions that can be usefully addressed through public deliberation, and provide guidance on the methodological and political dimensions that need to be considered in deciding whether a CJ is an appropriate approach for informing a policy decision-making process. Copyright © 2017 Elsevier Ltd. All rights reserved.
Purtle, Jonathan
2015-07-01
Racial health disparities in the United States are produced and perpetuated through public policies that differentially allocate risks and resources for health. Elected officials have the ability modify the structural determinants of racial health disparities through policy decisions and, through voting, the electorate can influence the extent to which these policy decisions promote health equity. In this commentary, I synthesize research on the voting behavior of electorates and policy decisions and present strategies to foster sociopolitical environments that are conducive to the implementation and enforcement of racial health disparity reduction initiatives. There is a need for research that contributes to a more comprehensive understanding of the role of voting in health policy making processes and further development of empirically-based policy advocacy strategies. Copyright © 2015 Elsevier Ltd. All rights reserved.
POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing.
Shaban-Nejad, Arash; Okhmatovskaia, Anya; Shin, Eun Kyong; Davis, Robert L; Buckeridge, David L
2017-01-01
The major goal of our study is to provide an automatic evaluation framework that aligns the results generated through semantic reasoning with the best available evidence regarding effective interventions to support the logical evaluation of public health policies. To this end, we have designed the POLicy EVAlUation & Logical Testing (POLE.VAULT) Framework to assist different stakeholders and decision-makers in making informed decisions about different health-related interventions, programs and ultimately policies, based on the contextual knowledge and the best available evidence at both individual and aggregate levels.
NASA Astrophysics Data System (ADS)
Flores, S.
2012-12-01
Scientific findings inform management decisions and policy products through various ways, these include: synthesis reports, white papers, in-person and web-based seminars (webinars), communication from specialized staff, and seminal peer-reviewed journal articles. Scientists are often told that if they want their science to inform management decisions and policy products that they must: clearly and simply articulate discreet pieces of scientific information and avoid attaching advocacy messages to the science; however, solely relying on these tenants does not ensure that scientific products will infuse the realms of management and policy. The process by which science successfully informs management decisions and policy products rarely begins at the time the results come out of the lab, but rather, before the research is carried out. Having an understanding of the political climate, management needs, agency research agendas, and funding limitations, as well as developing a working relationship with the intended managers and policy makers are key elements to developing the kind of science results and products that often make an impact in the management and policy world. In my presentation I will provide case-studies from California (USA) to highlight the type of coastal, ocean and climate science that has been successful in informing management decisions and policy documents, as well as provide a state-level agency perspective on the process by which this occurs.
Cable Television In Metro Denver. Background and Policy Issues For Local Decision-Making.
ERIC Educational Resources Information Center
Bortz, Paul I.; Gilmore, John S.
A general introduction to cable television (CATV) in the metropolitan Denver area, with a focus on policy issues for local decision-making, is provided. The overview is based upon a literature review, information presented at conferences, local surveys of CATV, interviews with people involved with CATV, and on-going research conducted by the…
Privatizing policy: Market solutions to energy and environmental problems
DOE Office of Scientific and Technical Information (OSTI.GOV)
Stroup, R.
1995-12-31
This paper discusses how and why privatization can improve policy, not only in terms of managing production, but also in terms of regulation. Three major aspects of privatization are discussed. The importance for the environment of economic efficiency and prosperity is examined. The role of private law and a rights-based policy for controlling pollution is considered. Finally the claim that privatization would replace farsighted government decisions with shortsighted decisions by owners is examined. 83 refs., 2 figs.
Teacher's Guide for "Tightrope," a Simulation Game in Economics.
ERIC Educational Resources Information Center
Baskind, Larry; And Others
"Tightrope" is a simulation based on economic stability and growth in a country. Several small groups of students, acting as Economic Advisory Councils, make fiscal and monetary policy decisions for their country based on their knowledge of business cycles, monetary policy, and fiscal policy. In each of the four rounds the Advisory Councils study…
Silva, Silvio Fernandes da; Souza, Nathan Mendes; Barreto, Jorge Otávio Maia
2014-11-01
The scope of this article was to identify the boundaries of the autonomy of local administration in the context of the federal pact in the Brazilian Unified Health System and the importance and potential for promoting innovation, creativity and evidence-based decision-making by local governments. The methodology used was to ask questions that favored dialogue with the specific literature to identify the influence of centrally-formulated policies in spaces of local autonomy and then to identify strategies to foster innovation, creativity and the systematic use of evidence-based research in health policy implementation. A gradual reduction in municipal decision-making autonomy was detected due to increased financial commitment of the municipalities resulting from responsibilities assumed, albeit with the possibility of reverting this trend in the more recent context. Some determinants and challenges for the dissemination of innovative practices were analyzed and some relevant national and international experiences in this respect were presented. The conclusion drawn is that it is possible to make local decision-making more effective provided that initiatives are consolidated to promote this culture and the formulation and implementation of evidence-based health policies.
Quality of service policy control in virtual private networks
NASA Astrophysics Data System (ADS)
Yu, Yiqing; Wang, Hongbin; Zhou, Zhi; Zhou, Dongru
2004-04-01
This paper studies the QoS of VPN in an environment where the public network prices connection-oriented services based on source, destination and grade of service, and advertises these prices to its VPN customers (users). As different QoS technologies can produce different QoS, there are according different traffic classification rules and priority rules. The internet service provider (ISP) may need to build complex mechanisms separately for each node. In order to reduce the burden of network configuration, we need to design policy control technologies. We considers mainly directory server, policy server, policy manager and policy enforcers. Policy decision point (PDP) decide its control according to policy rules. In network, policy enforce point (PEP) decide its network controlled unit. For InterServ and DiffServ, we will adopt different policy control methods as following: (1) In InterServ, traffic uses resource reservation protocol (RSVP) to guarantee the network resource. (2) In DiffServ, policy server controls the DiffServ code points and per hop behavior (PHB), its PDP distributes information to each network node. Policy server will function as following: information searching; decision mechanism; decision delivering; auto-configuration. In order to prove the effectiveness of QoS policy control, we make the corrective simulation.
Geospatial decision support systems for societal decision making
Bernknopf, R.L.
2005-01-01
While science provides reliable information to describe and understand the earth and its natural processes, it can contribute more. There are many important societal issues in which scientific information can play a critical role. Science can add greatly to policy and management decisions to minimize loss of life and property from natural and man-made disasters, to manage water, biological, energy, and mineral resources, and in general, to enhance and protect our quality of life. However, the link between science and decision-making is often complicated and imperfect. Technical language and methods surround scientific research and the dissemination of its results. Scientific investigations often are conducted under different conditions, with different spatial boundaries, and in different timeframes than those needed to support specific policy and societal decisions. Uncertainty is not uniformly reported in scientific investigations. If society does not know that data exist, what the data mean, where to use the data, or how to include uncertainty when a decision has to be made, then science gets left out -or misused- in a decision making process. This paper is about using Geospatial Decision Support Systems (GDSS) for quantitative policy analysis. Integrated natural -social science methods and tools in a Geographic Information System that respond to decision-making needs can be used to close the gap between science and society. The GDSS has been developed so that nonscientists can pose "what if" scenarios to evaluate hypothetical outcomes of policy and management choices. In this approach decision makers can evaluate the financial and geographic distribution of potential policy options and their societal implications. Actions, based on scientific information, can be taken to mitigate hazards, protect our air and water quality, preserve the planet's biodiversity, promote balanced land use planning, and judiciously exploit natural resources. Applications using the GDSS have demonstrated the benefits of utilizing science for policy decisions. Investment in science reduces decision-making uncertainty and reducing that uncertainty has economic value.
A model of interaction between anticorruption authority and corruption groups
DOE Office of Scientific and Technical Information (OSTI.GOV)
Neverova, Elena G.; Malafeyef, Oleg A.
The paper provides a model of interaction between anticorruption unit and corruption groups. The main policy functions of the anticorruption unit involve reducing corrupt practices in some entities through an optimal approach to resource allocation and effective anticorruption policy. We develop a model based on Markov decision-making process and use Howard’s policy-improvement algorithm for solving an optimal decision strategy. We examine the assumption that corruption groups retaliate against the anticorruption authority to protect themselves. This model was implemented through stochastic game.
David C. Calkin; Mark A. Finney; Alan A. Ager; Matthew P. Thompson; Krista M. Gebert
2011-01-01
In this paper we review progress towards the implementation of a riskmanagement framework for US federal wildland fire policy and operations. We first describe new developments in wildfire simulation technology that catalyzed the development of risk-based decision support systems for strategic wildfire management. These systems include new analytical methods to measure...
ERIC Educational Resources Information Center
Lazarus, Sheryl S.; Cormier, Damien C.; Thurlow, Martha L.
2011-01-01
The characteristics of a state's accommodations policy may affect a state's decision about whether to develop an alternate assessment based on modified achievement standards (AA-MAS). A very restrictive accommodations policy may make it more difficult for some students to participate in the state's regular assessment used for accountability…
Lancaster, K; Seear, K; Treloar, C; Ritter, A
2017-03-01
For over twenty years there have been calls for greater 'consumer' participation in health decision-making. While it is recognised by governments and other stakeholders that 'consumer' participation is desirable, barriers to meaningful involvement nonetheless remain. It has been suggested that the reifying of 'evidence-based policy' may be limiting opportunities for participation, through the way this discourse legitimates particular voices to the exclusion of others. Others have suggested that assumptions underpinning the very notion of the 'affected community' or 'consumers' as fixed and bounded 'policy publics' need to be problematised. In this paper, drawing on interviews (n = 41) with individuals closely involved in Australian drug policy discussions, we critically interrogate the productive techniques and constitutive effects of 'evidence-based policy' and 'consumer participation' discourses in the context of drug policy processes. To inform our analysis, we draw on and combine a number of critical perspectives including Foucault's concept of subjugated knowledges, the work of feminist theorists, as well as recent work regarding conceptualisations of emergent policy publics. First, we explore how the subject position of 'consumer' might be seen as enacted in the material-discursive practices of 'evidence-based policy' and 'consumer participation' in drug policy processes. Secondly, we consider the centralising power-effects of the dominant 'evidence-based policy' paradigm, and how resistance may be thought about in this context. We suggest that such interrogation has potential to recast the call for 'consumer' participation in health policy decision-making and drug policy processes. Copyright © 2017 Elsevier Ltd. All rights reserved.
Operating Policies and Procedures of Computer Data-Base Systems.
ERIC Educational Resources Information Center
Anderson, David O.
Speaking on the operating policies and procedures of computer data bases containing information on students, the author divides his remarks into three parts: content decisions, data base security, and user access. He offers nine recommended practices that should increase the data base's usefulness to the user community: (1) the cost of developing…
Mai, Bettina; Sommer, Susanne; Hauber, Wolfgang
2012-03-01
Decision-making policies are subject to modulation by changing motivational states. However, so far, little is known about the neurochemical mechanisms that bridge motivational states with decision making. Here we examined whether dopamine (DA) in the nucleus accumbens core (AcbC) modulates the effects of motivational states on effort-based decision making. Using a cost-benefit T-maze task in rats, we examined the effects of AcbC DA depletions on effort-based decision making, in particular on the sensitivity of effort-based decision making to a shift from a hungry to a sated state. The results demonstrated that, relative to sham controls, rats with AcbC DA depletion in a hungry as well as in a sated state had a reduced preference for effortful but large-reward action. This finding provides further support for the notion that AcbC DA regulates how much effort to invest for rewards. Importantly, our results further revealed that effort-based decision making in lesioned rats, as in sham controls, was still sensitive to a shift from a hungry to a sated state; that is, their preferences for effortful large-reward actions became lower after a shift from a restricted to a free-feeding regimen. These finding indicate that AcbC DA is not necessarily involved in mediating the effects of a shift in motivational state on decision-making policies.
Freebairn, Louise; Rychetnik, Lucie; Atkinson, Jo-An; Kelly, Paul; McDonnell, Geoff; Roberts, Nick; Whittall, Christine; Redman, Sally
2017-10-02
Evidence-based decision-making is an important foundation for health policy and service planning decisions, yet there remain challenges in ensuring that the many forms of available evidence are considered when decisions are being made. Mobilising knowledge for policy and practice is an emergent process, and one that is highly relational, often messy and profoundly context dependent. Systems approaches, such as dynamic simulation modelling can be used to examine both complex health issues and the context in which they are embedded, and to develop decision support tools. This paper reports on the novel use of participatory simulation modelling as a knowledge mobilisation tool in Australian real-world policy settings. We describe how this approach combined systems science methodology and some of the core elements of knowledge mobilisation best practice. We describe the strategies adopted in three case studies to address both technical and socio-political issues, and compile the experiential lessons derived. Finally, we consider the implications of these knowledge mobilisation case studies and provide evidence for the feasibility of this approach in policy development settings. Participatory dynamic simulation modelling builds on contemporary knowledge mobilisation approaches for health stakeholders to collaborate and explore policy and health service scenarios for priority public health topics. The participatory methods place the decision-maker at the centre of the process and embed deliberative methods and co-production of knowledge. The simulation models function as health policy and programme dynamic decision support tools that integrate diverse forms of evidence, including research evidence, expert knowledge and localised contextual information. Further research is underway to determine the impact of these methods on health service decision-making.
People adopt optimal policies in simple decision-making, after practice and guidance.
Evans, Nathan J; Brown, Scott D
2017-04-01
Organisms making repeated simple decisions are faced with a tradeoff between urgent and cautious strategies. While animals can adopt a statistically optimal policy for this tradeoff, findings about human decision-makers have been mixed. Some studies have shown that people can optimize this "speed-accuracy tradeoff", while others have identified a systematic bias towards excessive caution. These issues have driven theoretical development and spurred debate about the nature of human decision-making. We investigated a potential resolution to the debate, based on two factors that routinely differ between human and animal studies of decision-making: the effects of practice, and of longer-term feedback. Our study replicated the finding that most people, by default, are overly cautious. When given both practice and detailed feedback, people moved rapidly towards the optimal policy, with many participants reaching optimality with less than 1 h of practice. Our findings have theoretical implications for cognitive and neural models of simple decision-making, as well as methodological implications.
Jones, Michael L.; Brenden, Travis O.; Irwin, Brian J.
2015-01-01
The St. Marys River (SMR) historically has been a major producer of sea lampreys (Petromyzon marinus) in the Laurentian Great Lakes. In the early 2000s, a decision analysis (DA) project was conducted to evaluate sea lamprey control policies for the SMR; this project suggested that an integrated policy of trapping, sterile male releases, and Bayluscide treatment was the most cost-effective policy. Further, it concluded that formal assessment of larval sea lamprey abundance and distribution in the SMR would be valuable for future evaluation of control strategies. We updated this earlier analysis, adding information from annual larval assessments conducted since 1999 and evaluating additional control policies. Bayluscide treatments continued to be critical for sea lamprey control, but high recruitment compensation minimized the effectiveness of trapping and sterile male release under current feasible ranges. Because Bayluscide control is costly, development of strategies to enhance trapping success remains a priority. This study illustrates benefits of an adaptive management cycle, wherein models inform decisions, are updated based on learning achieved from those decisions, and ultimately inform future decisions.
The Risky Shift in Policy Decision Making: A Comparative Analysis
ERIC Educational Resources Information Center
Wilpert, B.; And Others
1976-01-01
Based on analysis of data on 432 decision-makers from around the world, this study examines the decision-making phenomenon that individuals tend to move toward riskier decisions after group discussion. Findings of the analysis contradicted earlier studies, showing a consistent shift toward greater risk avoidance. Available from Elsevier Scientific…
Kleinhout-Vliek, Tineke; de Bont, Antoinette; Boer, Bert
2017-07-01
Policy makers and insurance companies decide on coverage of care by both calculating (cost-) effectiveness and assessing the necessity of coverage. To investigate argumentations pertaining to necessity used in coverage decisions made by policy makers and insurance companies, as well as those argumentations used by patients, authors, the public and the media. This study is designed as a realist review, adhering to the RAMESES quality standards. Embase, Medline and Web of Science were searched and 98 articles were included that detailed necessity-based argumentations. We identified twenty necessity-based argumentation types. Seven are only used to argue in favour of coverage, five solely for arguing against coverage, and eight are used to argue both ways. A positive decision appears to be facilitated when patients or the public set the decision on the agenda. Moreover, half the argumentation types are only used by patients, authors, the public and the media, whereas the other half is also used by policy makers and insurance companies. The latter group is more accepted and used in more different countries. The majority of necessity-based argumentation types is used for either favouring or opposing coverage, and not for both. Patients, authors, the public and the media use a broader repertoire of argumentation types than policy makers and insurance companies. Copyright © 2017 Elsevier B.V. All rights reserved.
Economic considerations for social distancing and behavioral based policies during an epidemic
Fenichel, Eli P.
2013-01-01
Public policies intended to induce behavioral change, specifically incentives to reduce interpersonal contacts or to “social distance,” increasingly play a prominent role in public disease response strategies as governments plan for and respond to major epidemics. I compare social distancing incentives and outcomes under decentralized, full control social planner, and constrained social planner, without health class specific control, decision making scenarios. Constrained social planner decision making, based on non-health class specific controls, can in some instances make society worse off than decentralized decision making (i.e. no intervention). The oft neglected behavior of recovered and immune individuals is important for welfare and health outcomes. PMID:23419635
Ethical Issues in Editing Scholarly Journals.
ERIC Educational Resources Information Center
Stryker, Sheldon
1990-01-01
Discusses ethical issues that arise when serving as an editor of a scholarly journal. Suggests treating these issues using paradigm-based decisions; decisions based on personal sociological predilections and commitments; and reasonable referee-assignment policies. Notes how conflicts of interest inevitably accompanying such a position. (NL)
Van Herck, Pieter; Annemans, Lieven; Sermeus, Walter; Ramaekers, Dirk
2013-01-01
Context Health care technological evolution through new drugs, implants and other interventions is a key driver of healthcare spending. Policy makers are currently challenged to strengthen the evidence for and cost-effectiveness of reimbursement decisions, while not reducing the capacity for real innovations. This article examines six cases of reimbursement decision making at the national health insurance authority in Belgium, with outcomes that were contested from an evidence-based perspective in scientific or public media. Methods In depth interviews with key stakeholders based on the adapted framework of Davies allowed us to identify the relative impact of clinical and health economic evidence; experience, expertise & judgment; financial impact & resources; values, ideology & political beliefs; habit & tradition; lobbyists & pressure groups; pragmatics & contingencies; media attention; and adoption from other payers & countries. Findings Evidence was not the sole criterion on which reimbursement decisions were based. Across six equivocal cases numerous other criteria were perceived to influence reimbursement policy. These included other considerations that stakeholders deemed crucial in this area, such as taking into account the cost to the patient, and managing crisis scenarios. However, negative impacts were also reported, in the form of bypassing regular procedures unnecessarily, dominance of an opinion leader, using information selectively, and influential conflicts of interest. Conclusions ‘Evidence’ and ‘negotiation’ are both essential inputs of reimbursement policy. Yet, purposely selected equivocal cases in Belgium provide a rich source to learn from and to improve the interaction between both. We formulated policy recommendations to reconcile the impact of all factors identified. A more systematic approach to reimburse new care may be one of many instruments to resolve the budgetary crisis in health care in other countries as well, by separating what is truly innovative and value for money from additional ‘waste’. PMID:24205290
Dong, Yuwen; Deshpande, Sunil; Rivera, Daniel E; Downs, Danielle S; Savage, Jennifer S
2014-06-01
Control engineering offers a systematic and efficient method to optimize the effectiveness of individually tailored treatment and prevention policies known as adaptive or "just-in-time" behavioral interventions. The nature of these interventions requires assigning dosages at categorical levels, which has been addressed in prior work using Mixed Logical Dynamical (MLD)-based hybrid model predictive control (HMPC) schemes. However, certain requirements of adaptive behavioral interventions that involve sequential decision making have not been comprehensively explored in the literature. This paper presents an extension of the traditional MLD framework for HMPC by representing the requirements of sequential decision policies as mixed-integer linear constraints. This is accomplished with user-specified dosage sequence tables, manipulation of one input at a time, and a switching time strategy for assigning dosages at time intervals less frequent than the measurement sampling interval. A model developed for a gestational weight gain (GWG) intervention is used to illustrate the generation of these sequential decision policies and their effectiveness for implementing adaptive behavioral interventions involving multiple components.
Walls, Helen; Liverani, Marco; Chheng, Kannarath; Parkhurst, Justin
2017-11-10
Discussions within the health community routinely emphasise the importance of evidence in informing policy formulation and implementation. Much of the support for the evidence-based policy movement draws from concern that policy decisions are often based on inadequate engagement with high-quality evidence. In many such discussions, evidence is treated as differing only in quality, and assumed to improve decisions if it can only be used more. In contrast, political science scholars have described this as an overly simplistic view of the policy-making process, noting that research 'use' can mean a variety of things and relies on nuanced aspects of political systems. An approach more in recognition of how policy-making systems operate in practice can be to consider how institutions and ideas influence which pieces of evidence appear to be relevant for, and are used within, different policy processes. Drawing on in-depth interviews undertaken in 2015-2016 with key health sector stakeholders in Cambodia, we investigate the evidence perceived to be relevant to policy decisions for three contrasting health policy examples, namely tobacco control, HIV/AIDS and performance-based salary incentives. These cases allow us to examine the ways that policy-relevant evidence may differ given the framing of the issue and the broader institutional context in which evidence is considered. The three health issues show few similarities in how pieces of evidence were used in various aspects of policy-making, despite all being discussed within a broad policy environment in which evidence-based policy-making is rhetorically championed. Instead, we find that evidence use can be better understood by mapping how these health policy issues differ in terms of the issue characteristics, and also in terms of the stakeholders structurally established as having a dominant influence for each issue. Both of these have important implications for evidence use. Contrasting concerns of key stakeholders meant that evidence related to differing issues could be understood in terms of how it was relevant to policy. The stakeholders involved, however, could further be seen to possess differing logics about how to go about achieving their various outcomes - logics that could further help explain the differences seen in evidence utilisation. A comparative approach reiterates that evidence is not a uniform concept for which more is obviously better, but rather illustrates how different constructions and pieces of evidence become relevant in relation to the features of specific health policy decisions. An institutional approach that considers the structural position of stakeholders with differing core goals or objectives, as well as their logics related to evidence utilisation, can further help to understand some of the complexities of evidence use in health policy-making.
Hill, Suzanne; Freemantle, Nick
2003-01-01
Healthcare decision makers and pharmaceutical companies are increasingly using techniques of economic evaluation, particularly modelling, to assist them in their decisions about drug purchasing and drug development. The use of models in other types of policy decisions is also well established. One option, to shorten the time to a purchasing decision, would be for an interim decision for approval for reimbursement to be based on an economic model. Such a system would mainly benefit the drug development process and thus the pharmaceutical industry; however the approach could also lead to poor decision making, unethical marketing and withdrawal of drugs from the consumer. In this article, we consider the option of a two-stage economic appraisal process from the point of view of the seller, the purchaser and the patient and public. Although a two-stage process may offer some advantages in terms of early return on investment and access, there are significant disadvantages in terms of certainty about effects and public policy and expenditure. Until there are better methods of predicting the effectiveness of a new product, it is unlikely that interim decisions can be seen as a reasonable health policy alternative, although it seems likely that industry may continue to lobby for such an approach.
EnviroAtlas is a web-based decision support tool that combines maps, analysis tools, downloadable data and informational resources that states, tribes and communities can use to help inform policy and planning decisions impacting their surroundings.
Providing Climate Policy Makers With a Strong Scientific Base (Invited)
NASA Astrophysics Data System (ADS)
Struzik, E.
2009-12-01
Scientists can and should inform public policy decisions in the Arctic. But the pace of climate change in the polar world has been occurring far more quickly than most scientists have been able to predict. This creates problems for decision-makers who recognize that difficult management decisions have to be made in matters pertaining to wildlife management, cultural integrity and economic development. With sea ice melting, glaciers receding, permafrost thawing, forest fires intensifying, and disease and invasive species rapidly moving north, the challenge for scientists to provide climate policy makers with a strong scientific base has been daunting. Clashing as this data sometimes does with the “traditional knowledge” of indigenous peoples in the north, it can also become very political. As a result the need to effectively communicate complex data is more imperative now than ever before. Here, the author describes how the work of scientists can often be misinterpreted or exploited in ways that were not intended. Examples include the inappropriate use of scientific data in decision-making on polar bears, caribou and other wildlife populations; the use of scientific data to debunk the fact that greenhouse gases are driving climate change, and the use of scientific data to position one scientist against another when there is no inherent conflict. This work will highlight the need for climate policy makers to increase support for scientists working in the Arctic, as well as illustrate why it is important to find new and more effective ways of communicating scientific data. Strategies that might be considered by granting agencies, scientists and climate policy decision-makers will also be discussed.
Carroll, Fran E; Rooshenas, Leila; Owen-Smith, Amanda; Al-Janabi, Hareth; Hollinghurst, Sandra; Hay, Alastair D
2016-06-01
Many families rely on formal day care provision, which can be problematic when children are unwell. Attendance in these circumstances may impact on the transmission of infections in both day care and the wider community. Thirty-one semi-structured interviews were conducted to investigate how parents make decisions about nursery care when children are unwell. Topics for discussion included: illness attitudes, current practice during childhood illness and potential nursery policy changes that could affect decision-making. A combination of illness perceptions and external factors affected decision-making. Parents: (i) considered the severity of respiratory and non-respiratory symptoms differently, and stated that while most other contagious illnesses required nursery exclusion, coughs/colds did not; (ii) said decisions were not solely based on nursery policy, but on practical challenges such as work absences, financial penalties and alternative care availability; (iii) identified modifiable nursery policy factors that could potentially help parents keep unwell children at home, potentially reducing transmission of infectious illness. Decision-making is a complex interaction between the child's illness, personal circumstance and nursery policy. Improving our understanding of the modifiable aspects of nursery policies and the extent to which these factors affect decision-making could inform the design and implementation of interventions to reduce the transmission of infectious illness and the associated burden on NHS services. © The Author 2015. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Finding shared decisions in stakeholder networks: An agent-based approach
NASA Astrophysics Data System (ADS)
Le Pira, Michela; Inturri, Giuseppe; Ignaccolo, Matteo; Pluchino, Alessandro; Rapisarda, Andrea
2017-01-01
We address the problem of a participatory decision-making process where a shared priority list of alternatives has to be obtained while avoiding inconsistent decisions. An agent-based model (ABM) is proposed to mimic this process in different social networks of stakeholders who interact according to an opinion dynamics model. Simulations' results show the efficacy of interaction in finding a transitive and, above all, shared decision. These findings are in agreement with real participation experiences regarding transport planning decisions and can give useful suggestions on how to plan an effective participation process for sustainable policy-making based on opinion consensus.
Harlé, Katia M; Guo, Dalin; Zhang, Shunan; Paulus, Martin P; Yu, Angela J
2017-01-01
Depressive pathology, which includes both heightened negative affect (e.g., anxiety) and reduced positive affect (e.g., anhedonia), is known to be associated with sub-optimal decision-making, particularly in uncertain environments. Here, we use a computational approach to quantify and disambiguate how individual differences in these affective measures specifically relate to different aspects of learning and decision-making in reward-based choice behavior. Fifty-three individuals with a range of depressed mood completed a two-armed bandit task, in which they choose between two arms with fixed but unknown reward rates. The decision-making component, which chooses among options based on current expectations about reward rates, is modeled by two different decision policies: a learning-independent Win-stay/Lose-shift (WSLS) policy that ignores all previous experiences except the last trial, and Softmax, which prefers the arm with the higher expected reward. To model the learning component for the Softmax choice policy, we use a Bayesian inference model, which updates estimated reward rates based on the observed history of trial outcomes. Softmax with Bayesian learning better fits the behavior of 55% of the participants, while the others are better fit by a learning-independent WSLS strategy. Among Softmax "users", those with higher anhedonia are less likely to choose the option estimated to be most rewarding. Moreover, the Softmax parameter mediates the inverse relationship between anhedonia and overall monetary gains. On the other hand, among WSLS "users", higher state anxiety correlates with increasingly better ability of WSLS, relative to Softmax, to explain subjects' trial-by-trial choices. In summary, there is significant variability among individuals in their reward-based, exploratory decision-making, and this variability is at least partly mediated in a very specific manner by affective attributes, such as hedonic tone and state anxiety.
DOT National Transportation Integrated Search
2010-11-01
This project developed a GIS-based Spatial Decision Support System to help local, metropolitan, and state : jurisdictions and authorities in Texas understand the implications of transportation planning and : investment decisions, and plan appropriate...
ERIC Educational Resources Information Center
Ardoin, Scott P.; Christ, Theodore J.; Morena, Laura S.; Cormier, Damien C.; Klingbeil, David A.
2013-01-01
Research and policy have established that data are necessary to guide decisions within education. Many of these decisions are made within problem solving and response to intervention frameworks for service delivery. Curriculum-Based Measurement in Reading (CBM-R) is a widely used data collection procedure within those models of service delivery.…
Zhang, Donglan; Giabbanelli, Philippe J; Arah, Onyebuchi A; Zimmerman, Frederick J
2014-07-01
Unhealthy eating is a complex-system problem. We used agent-based modeling to examine the effects of different policies on unhealthy eating behaviors. We developed an agent-based simulation model to represent a synthetic population of adults in Pasadena, CA, and how they make dietary decisions. Data from the 2007 Food Attitudes and Behaviors Survey and other empirical studies were used to calibrate the parameters of the model. Simulations were performed to contrast the potential effects of various policies on the evolution of dietary decisions. Our model showed that a 20% increase in taxes on fast foods would lower the probability of fast-food consumption by 3 percentage points, whereas improving the visibility of positive social norms by 10%, either through community-based or mass-media campaigns, could improve the consumption of fruits and vegetables by 7 percentage points and lower fast-food consumption by 6 percentage points. Zoning policies had no significant impact. Interventions emphasizing healthy eating norms may be more effective than directly targeting food prices or regulating local food outlets. Agent-based modeling may be a useful tool for testing the population-level effects of various policies within complex systems.
2017-03-23
Air Force Institute of Technology AFIT Scholar Theses and Dissertations 3-23-2017 Using Markov Decision Processes with Heterogeneous Queueing Systems... TECHNOLOGY Wright-Patterson Air Force Base, Ohio DISTRIBUTION STATEMENT A APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED. The views expressed in...POLICIES THESIS Presented to the Faculty Department of Operational Sciences Graduate School of Engineering and Management Air Force Institute of Technology
Consumer Decision-Making Abilities and Long-Term Care Insurance Purchase.
McGarry, Brian E; Tempkin-Greener, Helena; Grabowski, David C; Chapman, Benjamin P; Li, Yue
2018-04-16
To determine the impact of consumer decision-making abilities on making a long-term care insurance (LTCi) purchasing decision that is consistent with normative economic predictions regarding policy ownership. Using data from the Health and Retirement Study, multivariate analyses are implemented to estimate the effect of decision-making ability factors on owning LTCi. Stratified multivariate analyses are used to examine the effect of decision-making abilities on the likelihood of adhering to economic predictions of LTCi ownership. In the full sample, better cognitive capacity was found to significantly increase the odds of ownership. When the sample was stratified based on expected LTCi ownership status, cognitive capacity was positively associated with ownership among those predicted to own and negatively associated with ownership among those predicted not to own who could likely afford a policy. Consumer decision-making abilities, specifically cognitive capacity, are an important determinant of LTCi decision outcomes. Deficits in this ability may prevent individuals from successfully preparing for future long-term care expenses. Policy makers should consider changes that reduce the cognitive burden of this choice, including the standardization of the LTCi market, the provision of consumer decision aids, and alternatives to voluntary and private insuring mechanisms.
Policy, practice and decision making for zoonotic disease management: water and Cryptosporidium.
Austin, Zoë; Alcock, Ruth E; Christley, Robert M; Haygarth, Philip M; Heathwaite, A Louise; Latham, Sophia M; Mort, Maggie; Oliver, David M; Pickup, Roger; Wastling, Jonathan M; Wynne, Brian
2012-04-01
Decision making for zoonotic disease management should be based on many forms of appropriate data and sources of evidence. However, the criteria and timing for policy response and the resulting management decisions are often altered when a disease outbreak occurs and captures full media attention. In the case of waterborne disease, such as the robust protozoa, Cryptosporidium spp, exposure can cause significant human health risks and preventing exposure by maintaining high standards of biological and chemical water quality remains a priority for water companies in the UK. Little has been documented on how knowledge and information is translated between the many stakeholders involved in the management of Cryptosporidium, which is surprising given the different drivers that have shaped management decisions. Such information, coupled with the uncertainties that surround these data is essential for improving future management strategies that minimise disease outbreaks. Here, we examine the interplay between scientific information, the media, and emergent government and company policies to examine these issues using qualitative and quantitative data relating to Cryptosporidium management decisions by a water company in the North West of England. Our results show that political and media influences are powerful drivers of management decisions if fuelled by high profile outbreaks. Furthermore, the strength of the scientific evidence is often constrained by uncertainties in the data, and in the way knowledge is translated between policy levels during established risk management procedures. In particular, under or over-estimating risk during risk assessment procedures together with uncertainty regarding risk factors within the wider environment, was found to restrict the knowledge-base for decision-making in Cryptosporidium management. Our findings highlight some key current and future challenges facing the management of such diseases that are widely applicable to other risk management situations. Copyright © 2011 Elsevier Ltd. All rights reserved.
Computer-Assisted Community Planning and Decision Making.
ERIC Educational Resources Information Center
College of the Atlantic, Bar Harbor, ME.
The College of the Atlantic (COA) developed a broad-based, interdisciplinary curriculum in ecological policy and community planning and decision-making that incorporates two primary computer-based tools: ARC/INFO Geographic Information System (GIS) and STELLA, a systems-dynamics modeling tool. Students learn how to use and apply these tools…
Identifying Cost-Effective Dynamic Policies to Control Epidemics
Yaesoubi, Reza; Cohen, Ted
2016-01-01
We describe a mathematical decision model for identifying dynamic health policies for controlling epidemics. These dynamic policies aim to select the best current intervention based on accumulating epidemic data and the availability of resources at each decision point. We propose an algorithm to approximate dynamic policies that optimize the population’s net health benefit, a performance measure which accounts for both health and monetary outcomes. We further illustrate how dynamic policies can be defined and optimized for the control of a novel viral pathogen, where a policy maker must decide (i) when to employ or lift a transmission-reducing intervention (e.g. school closure) and (ii) how to prioritize population members for vaccination when a limited quantity of vaccines first become available. Within the context of this application, we demonstrate that dynamic policies can produce higher net health benefit than more commonly described static policies that specify a pre-determined sequence of interventions to employ throughout epidemics. PMID:27449759
12 CFR 367.16 - Ethics Counselor decisions.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 4 2011-01-01 2011-01-01 false Ethics Counselor decisions. 367.16 Section 367... POLICY SUSPENSION AND EXCLUSION OF CONTRACTOR AND TERMINATION OF CONTRACTS § 367.16 Ethics Counselor... disputed material facts, the Ethics Counselor shall base the decision on the facts as found, together with...
12 CFR 367.16 - Ethics Counselor decisions.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Ethics Counselor decisions. 367.16 Section 367... POLICY SUSPENSION AND EXCLUSION OF CONTRACTOR AND TERMINATION OF CONTRACTS § 367.16 Ethics Counselor... disputed material facts, the Ethics Counselor shall base the decision on the facts as found, together with...
12 CFR 367.16 - Ethics Counselor decisions.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 5 2013-01-01 2013-01-01 false Ethics Counselor decisions. 367.16 Section 367... POLICY SUSPENSION AND EXCLUSION OF CONTRACTOR AND TERMINATION OF CONTRACTS § 367.16 Ethics Counselor... disputed material facts, the Ethics Counselor shall base the decision on the facts as found, together with...
12 CFR 367.16 - Ethics Counselor decisions.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 5 2014-01-01 2014-01-01 false Ethics Counselor decisions. 367.16 Section 367... POLICY SUSPENSION AND EXCLUSION OF CONTRACTOR AND TERMINATION OF CONTRACTS § 367.16 Ethics Counselor... disputed material facts, the Ethics Counselor shall base the decision on the facts as found, together with...
12 CFR 367.16 - Ethics Counselor decisions.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 5 2012-01-01 2012-01-01 false Ethics Counselor decisions. 367.16 Section 367... POLICY SUSPENSION AND EXCLUSION OF CONTRACTOR AND TERMINATION OF CONTRACTS § 367.16 Ethics Counselor... disputed material facts, the Ethics Counselor shall base the decision on the facts as found, together with...
Standards-Based Accountability Systems. Policy Brief.
ERIC Educational Resources Information Center
Stapleman, Jan
This policy brief summarizes research results and provides guidance regarding decisions associated with school accountability. Unlike previous notions of accountability, a standards-based system examines outputs, such as student performance and graduation rates, as well as inputs like the amount of instructional time or the number of books in the…
Buskens, E
2005-07-09
Research among a sample of the Dutch population has shown that different relative values are assigned to some of the five sub-domains of the 'Euro-Quality of life, five dimensions' (EQ-5D) questionnaire when compared to the current English values. These findings might be interpreted as proof that the resulting 'tariffs' should also differ across countries. Conversely, one could argue that the current Oxford tariffs are simply inadequate. Clearly, decisions for individual patients should be based on the individual's preferences. However, policy decisions taken from a societal perspective should be based on a global value system. It would seem that a single Western European tariff would be preferable to a whole range of national tariffs.
NASA Astrophysics Data System (ADS)
Wong, Jacqueline Yin Sang
2015-10-01
Evidence and explanatory mechanism are central to scientific practices. Using such information could also inform decisions about issues in which science can play some role, from policy issues like climate change to personal issues like vaccination. While research suggests that people tend to focus on non-science considerations when making science-related decisions, there is also evidence that people can reason very productively with evidence and mechanism. This study examines how the goals participants pursue when reading a science report influences how they attend to information about causal mechanism and evidence. Two hundred and seventeen high school students were asked either to evaluate the truth of a scientific claim, to make a personal decision based on the claim, or to make a social policy decision based on the claim using an online task-based survey. All three groups of participants attended to evidence and mechanism, but participants with different goals requested different types of information and were influenced by evidence and mechanism for different reasons. The findings suggest that goals influence how participants use evidence and mechanism.
National policy-makers speak out: are researchers giving them what they need?
Hyder, Adnan A; Corluka, Adrijana; Winch, Peter J; El-Shinnawy, Azza; Ghassany, Harith; Malekafzali, Hossein; Lim, Meng-Kin; Mfutso-Bengo, Joseph; Segura, Elsa; Ghaffar, Abdul
2011-01-01
The objective of this empirical study was to understand the perspectives and attitudes of policy-makers towards the use and impact of research in the health sector in low- and middle-income countries. The study used data from 83 semi-structured, in-depth interviews conducted with purposively selected policy-makers at the national level in Argentina, Egypt, Iran, Malawi, Oman and Singapore. The interviews were structured around an interview guide developed based on existing literature and in consultation with all six country investigators. Transcripts were processed using a thematic-analysis approach. Policy-makers interviewed for this study were unequivocal in their support for health research and the high value they attribute to it. However, they stated that there were structural and informal barriers to research contributing to policy processes, to the contribution research makes to knowledge generally, and to the use of research in health decision-making specifically. Major findings regarding barriers to evidence-based policy-making included poor communication and dissemination, lack of technical capacity in policy processes, as well as the influence of the political context. Policy-makers had a variable understanding of economic analysis, equity and burden of disease measures, and were vague in terms of their use in national decisions. Policy-maker recommendations regarding strategies for facilitating the uptake of research into policy included improving the technical capacity of policy-makers, better packaging of research results, use of social networks, and establishment of fora and clearinghouse functions to help assist in evidence-based policy-making. PMID:20547652
A Policy Process Model as a Tool of Educational Governance.
ERIC Educational Resources Information Center
Este, Robert A.
An examination of the relevant literature reveals that "policy" means different things to different people. Among the concepts that emerge when these meanings are reviewed are that policies are intentional, decision-based, goal-oriented, and conditional; they lead to results, balance facts and values, and allocate resources; and they…
Engaging Effectively in the Policy-Making Process
ERIC Educational Resources Information Center
McLaughlin, Virginia L.; West, Jane E.; Anderson, Jeffrey A.
2016-01-01
Current political polarization and competing priorities complicate development of sound education policy. Particularly troubling is the disconnect between research and policy, as decision makers rely more on the work of think tanks and advocacy groups than the knowledge base of the profession. The mismatch between higher education and policy…
Dynamic and adaptive policy models for coalition operations
NASA Astrophysics Data System (ADS)
Verma, Dinesh; Calo, Seraphin; Chakraborty, Supriyo; Bertino, Elisa; Williams, Chris; Tucker, Jeremy; Rivera, Brian; de Mel, Geeth R.
2017-05-01
It is envisioned that the success of future military operations depends on the better integration, organizationally and operationally, among allies, coalition members, inter-agency partners, and so forth. However, this leads to a challenging and complex environment where the heterogeneity and dynamism in the operating environment intertwines with the evolving situational factors that affect the decision-making life cycle of the war fighter. Therefore, the users in such environments need secure, accessible, and resilient information infrastructures where policy-based mechanisms adopt the behaviours of the systems to meet end user goals. By specifying and enforcing a policy based model and framework for operations and security which accommodates heterogeneous coalitions, high levels of agility can be enabled to allow rapid assembly and restructuring of system and information resources. However, current prevalent policy models (e.g., rule based event-condition-action model and its variants) are not sufficient to deal with the highly dynamic and plausibly non-deterministic nature of these environments. Therefore, to address the above challenges, in this paper, we present a new approach for policies which enables managed systems to take more autonomic decisions regarding their operations.
Developing a Policy Flight Simulator to Facilitate the Adoption of an Evidence-Based Intervention
Yu, Zhongyuan; Hirschman, Karen B.; Pepe, Kara; Pauly, Mark V.; Naylor, Mary D.; Rouse, William B.
2018-01-01
While the use of evidence-based interventions (EBIs) has been advocated by the medical research community for quite some time, uptake of these interventions by healthcare providers has been slow. One possible explanation is that it is challenging for providers to estimate impacts of a specific EBI on their particular organization. To address that concern, we developed and evaluated a type of simulation called a policy flight simulator to determine if it could improve the adoption decision about a specific EBI, the transitional care model (TCM). The TCM uses an advanced practice nurse-led model of care to transition older adults with multiple chronic conditions from a hospitalization to home. An evaluation by a National Advisory Committee, made up of senior representatives from various stakeholders in the U.S. healthcare system, found the policy flight simulator to be a useful tool that has the potential to better inform adoption decisions. This paper describes the simulation development effort and documents lessons learned that may be useful to the healthcare modeling community and those interested in using simulation to support decisions based on EBIs. PMID:29805921
From Population Databases to Research and Informed Health Decisions and Policy.
Machluf, Yossy; Tal, Orna; Navon, Amir; Chaiter, Yoram
2017-01-01
In the era of big data, the medical community is inspired to maximize the utilization and processing of the rapidly expanding medical datasets for clinical-related and policy-driven research. This requires a medical database that can be aggregated, interpreted, and integrated at both the individual and population levels. Policymakers seek data as a lever for wise, evidence-based decision-making and information-driven policy. Yet, bridging the gap between data collection, research, and policymaking, is a major challenge. To bridge this gap, we propose a four-step model: (A) creating a conjoined task force of all relevant parties to declare a national program to promote collaborations; (B) promoting a national digital records project, or at least a network of synchronized and integrated databases, in an accessible transparent manner; (C) creating an interoperative national research environment to enable the analysis of the organized and integrated data and to generate evidence; and (D) utilizing the evidence to improve decision-making, to support a wisely chosen national policy. For the latter purpose, we also developed a novel multidimensional set of criteria to illuminate insights and estimate the risk for future morbidity based on current medical conditions. Used by policymakers, providers of health plans, caregivers, and health organizations, we presume this model will assist transforming evidence generation to support the design of health policy and programs, as well as improved decision-making about health and health care, at all levels: individual, communal, organizational, and national.
Social Work and End-of-Life Decisions: Self-Determination and the Common Good.
ERIC Educational Resources Information Center
Wesley, Carol A.
1996-01-01
Self-determination and the common good must be respected in social work practice and policy regarding end-of-life decisions. This article discusses self-determination in end-of-life decision making, ethical decision making and the NASW Code of Ethics, and professional ethics based on a balanced view of both self-determination and the common good.…
The need for consumer behavior analysis in health care coverage decisions.
Thompson, A M; Rao, C P
1990-01-01
Demographic analysis has been the primary form of analysis connected with health care coverage decisions. This paper reviews past demographic research and shows the need to use behavioral analyses for health care coverage policy decisions. A behavioral model based research study is presented and a case is made for integrated study into why consumers make health care coverage decisions.
Dzeng, Elizabeth; Colaianni, Alessandra; Roland, Martin; Chander, Geetanjali; Smith, Thomas J; Kelly, Michael P; Barclay, Stephen; Levine, David
2015-05-01
Controversy exists regarding whether the decision to pursue a do-not-resuscitate (DNR) order should be grounded in an ethic of patient autonomy or in the obligation to act in the patient's best interest (beneficence). To explore how physicians' approaches to DNR decision making at the end of life are shaped by institutional cultures and policies surrounding patient autonomy. We performed semistructured in-depth qualitative interviews of 58 internal medicine physicians from 4 academic medical centers (3 in the United States and 1 in the United Kingdom) by years of experience and medical subspecialty from March 7, 2013, through January 8, 2014. Hospitals were selected based on expected differences in hospital culture and variations in hospital policies regarding prioritization of autonomy vs best interest. This study identified the key influences of institutional culture and policies on physicians' attitudes toward patient autonomy in DNR decision making at the end of life. A hospital's prioritization of autonomy vs best interest as reflected in institutional culture and policy appeared to influence the way that physician trainees conceptualized patient autonomy. This finding may have influenced the degree of choice and recommendations physician trainees were willing to offer regarding DNR decision making. Trainees at hospitals where policies and culture prioritized autonomy-focused approaches appeared to have an unreflective deference to autonomy and felt compelled to offer the choice of resuscitation neutrally in all situations regardless of whether they believed resuscitation to be clinically appropriate. In contrast, trainees at hospitals where policies and culture prioritized best-interest-focused approaches appeared to be more comfortable recommending against resuscitation in situations where survival was unlikely. Experienced physicians at all sites similarly did not exclusively allow their actions to be defined by policies and institutional culture and were willing to make recommendations against resuscitation if they believed it would be futile. Institutional cultures and policies might influence how physician trainees develop their professional attitudes toward autonomy and their willingness to make recommendations regarding the decision to implement a DNR order. A singular focus on autonomy might inadvertently undermine patient care by depriving patients and surrogates of the professional guidance needed to make critical end of life decisions.
Informing clinical policy decision-making practices in ambulance services.
Muecke, Sandy; Curac, Nada; Binks, Darryn
2013-12-01
This study aims to identify the processes and frameworks that support an evidence-based approach to clinical policy decision-making practices in ambulance services. This literature review focused on: (i) the setting (pre-hospital); and (ii) the process of evidence translation, for studies published after the year 2000. Searches of Medline, CINAHL and Google were undertaken. Reference lists of eligible publications were searched for relevant articles. A total of 954 articles were identified. Of these, 20 full text articles were assessed for eligibility and seven full text articles met the inclusion criteria. Three provided detailed descriptions of the evidence-based practice processes used to inform ambulance service protocol or guideline development or review. There is little published literature that describes the processes involved, and frameworks required, to inform clinical policy decision making within ambulance services. This review found that processes were iterative and involved collaborations across many internal and external stakeholders. In several jurisdictions, these were coordinated by a dedicated team. Success appears dependent on committed leadership and purposive human and structural resources. Although time consuming, structured processes have been developed in some jurisdictions to assist decision-making processes. Further insight is likely to be obtained from literature published by those from other disciplines. © 2013 The Authors. International Journal of Evidence-Based Healthcare © 2013 The Joanna Briggs Institute.
Limitations and opportunities for the social cost of carbon (Invited)
NASA Astrophysics Data System (ADS)
Rose, S. K.
2010-12-01
Estimates of the marginal value of carbon dioxide-the social cost of carbon (SCC)-were recently adopted by the U.S. Government in order to satisfy requirements to value estimated GHG changes of new federal regulations. However, the development and use of SCC estimates of avoided climate change impacts comes with significant challenges and controversial decisions. Fortunately, economics can provide some guidance for conceptually appropriate estimates. At the same time, economics defaults to a benefit-cost decision framework to identify socially optimal policies. However, not all current policy decisions are benefit-cost based, nor depend on monetized information, or even have the same threshold for information. While a conceptually appropriate SCC is a useful metric, how far can we take it? This talk discusses potential applications of the SCC, limitations based on the state of research and methods, as well as opportunities for among other things consistency with climate risk management and research and decision-making tools.
Walking the Fine Line: Political Decision Making with or without Data.
ERIC Educational Resources Information Center
Merkel-Keller, Claudia
The stages of the policy process are examined and explained in terms of the decision making framework. The policy process is comprised of four stages; policy analysis, policy formation, policy decision, and political analysis. Political analysis is the performance of the market analysis needed for a decision. The political weight, rather than the…
Ji, Xiaoting; Niu, Yifeng; Shen, Lincheng
2016-01-01
This paper presents a robust satisficing decision-making method for Unmanned Aerial Vehicles (UAVs) executing complex missions in an uncertain environment. Motivated by the info-gap decision theory, we formulate this problem as a novel robust satisficing optimization problem, of which the objective is to maximize the robustness while satisfying some desired mission requirements. Specifically, a new info-gap based Markov Decision Process (IMDP) is constructed to abstract the uncertain UAV system and specify the complex mission requirements with the Linear Temporal Logic (LTL). A robust satisficing policy is obtained to maximize the robustness to the uncertain IMDP while ensuring a desired probability of satisfying the LTL specifications. To this end, we propose a two-stage robust satisficing solution strategy which consists of the construction of a product IMDP and the generation of a robust satisficing policy. In the first stage, a product IMDP is constructed by combining the IMDP with an automaton representing the LTL specifications. In the second, an algorithm based on robust dynamic programming is proposed to generate a robust satisficing policy, while an associated robustness evaluation algorithm is presented to evaluate the robustness. Finally, through Monte Carlo simulation, the effectiveness of our algorithms is demonstrated on an UAV search mission under severe uncertainty so that the resulting policy can maximize the robustness while reaching the desired performance level. Furthermore, by comparing the proposed method with other robust decision-making methods, it can be concluded that our policy can tolerate higher uncertainty so that the desired performance level can be guaranteed, which indicates that the proposed method is much more effective in real applications. PMID:27835670
Ji, Xiaoting; Niu, Yifeng; Shen, Lincheng
2016-01-01
This paper presents a robust satisficing decision-making method for Unmanned Aerial Vehicles (UAVs) executing complex missions in an uncertain environment. Motivated by the info-gap decision theory, we formulate this problem as a novel robust satisficing optimization problem, of which the objective is to maximize the robustness while satisfying some desired mission requirements. Specifically, a new info-gap based Markov Decision Process (IMDP) is constructed to abstract the uncertain UAV system and specify the complex mission requirements with the Linear Temporal Logic (LTL). A robust satisficing policy is obtained to maximize the robustness to the uncertain IMDP while ensuring a desired probability of satisfying the LTL specifications. To this end, we propose a two-stage robust satisficing solution strategy which consists of the construction of a product IMDP and the generation of a robust satisficing policy. In the first stage, a product IMDP is constructed by combining the IMDP with an automaton representing the LTL specifications. In the second, an algorithm based on robust dynamic programming is proposed to generate a robust satisficing policy, while an associated robustness evaluation algorithm is presented to evaluate the robustness. Finally, through Monte Carlo simulation, the effectiveness of our algorithms is demonstrated on an UAV search mission under severe uncertainty so that the resulting policy can maximize the robustness while reaching the desired performance level. Furthermore, by comparing the proposed method with other robust decision-making methods, it can be concluded that our policy can tolerate higher uncertainty so that the desired performance level can be guaranteed, which indicates that the proposed method is much more effective in real applications.
Optimizing model: insemination, replacement, seasonal production, and cash flow.
DeLorenzo, M A; Spreen, T H; Bryan, G R; Beede, D K; Van Arendonk, J A
1992-03-01
Dynamic programming to solve the Markov decision process problem of optimal insemination and replacement decisions was adapted to address large dairy herd management decision problems in the US. Expected net present values of cow states (151,200) were used to determine the optimal policy. States were specified by class of parity (n = 12), production level (n = 15), month of calving (n = 12), month of lactation (n = 16), and days open (n = 7). Methodology optimized decisions based on net present value of an individual cow and all replacements over a 20-yr decision horizon. Length of decision horizon was chosen to ensure that optimal policies were determined for an infinite planning horizon. Optimization took 286 s of central processing unit time. The final probability transition matrix was determined, in part, by the optimal policy. It was estimated iteratively to determine post-optimization steady state herd structure, milk production, replacement, feed inputs and costs, and resulting cash flow on a calendar month and annual basis if optimal policies were implemented. Implementation of the model included seasonal effects on lactation curve shapes, estrus detection rates, pregnancy rates, milk prices, replacement costs, cull prices, and genetic progress. Other inputs included calf values, values of dietary TDN and CP per kilogram, and discount rate. Stochastic elements included conception (and, thus, subsequent freshening), cow milk production level within herd, and survival. Validation of optimized solutions was by separate simulation model, which implemented policies on a simulated herd and also described herd dynamics during transition to optimized structure.
Managing expectations from our land: 3 is the magic number.
NASA Astrophysics Data System (ADS)
Creamer, Rachel; Schulte, Rogier; O'Sullivan, Lilian; Staes, Jan; Vrebos, Dirk; Jones, Arwyn
2017-04-01
In recent years, sustainable food production has risen to the top of the EU policy agenda. Europe's land is now expected to provide multiple ecosystem services (soil functions) for society. These include: i) food production, ii) carbon storage, iii) the provision of clean water, iv) habitats for biodiversity and v) nutrient cycling. A tension exists between the demand for and supply of these soil functions on our land. We cannot expect all soil functions to be delivered simultaneously to optimal capacity, but with careful decision making we can optimise our soils to provide multiple functions. Our societal demands also vary in spatial extent, for example we may require nutrient cycling and food production to be focussed at local scale, but carbon sequestration may be a national target to reduce greenhouse gas emissions. Every day, farmers make decisions on how they manage their land and soil. At the same time, national and European policy makers make long-term decisions on how to manage their soil resources at larger scales. Therefore, the contemporary challenge for researchers and stakeholders is to link the decision making on land management across scales, so that the practicalities of how farmers make decisions is reflected in policy formation and that policies enable farmers to make decisions that meet EU policy objectives. LANDMARK (LAND Management: Assessment, Research, Knowledge base) is a Horizon 2020 consortium of 22 partner institutes from 14 EU countries plus Switzerland, China and Brazil. The primary objective of the LANDMARK project is to provide a policy framework for Functional Land Management at EU level. This implies the identification of policy instruments that could guide the management of soil functions at the appropriate scale. This presentation will provide an overview of the challenge faced across these scales, from local to European, it will demonstrate how local decision making must try and account for the delivery of at least three soil functions to contribute to sustainable soil management.
ERIC Educational Resources Information Center
Oredein, Afolakemi O.; Durojaye, Toluwase G.
2012-01-01
This study is based on lecturers' and students' perception on educational policy implementation factors and quality education in Nigerian universities. Educational policies have always been formulated purposely to guide the present and future thinking, actions and decisions of managers. The potency of policy is not in formulation but in its proper…
NASA Astrophysics Data System (ADS)
Rooney-varga, J. N.; Franck, T.; Jones, A.; Sterman, J.; Sawin, E.
2013-12-01
To meet international goals for climate change mitigation and adaptation, as well as energy access and equity, there is an urgent need to explore and define energy policy paths forward. Despite this need, students, citizens, and decision-makers often hold deeply flawed mental models of the energy and climate systems. Here we describe a simulation role-playing game, World Energy, that provides an immersive learning experience in which participants can create their own path forward for global energy policy and learn about the impact of their policy choices on carbon dioxide emissions, temperature rise, energy supply mix, energy prices, and energy demand. The game puts players in the decision-making roles of advisors to the United Nations Sustainable Energy for All Initiative (drawn from international leaders from industry, governments, intergovernmental organizations, and citizens groups) and, using a state-of-the-art decision-support simulator, asks them to negotiate a plan for global energy policy. We use the En-ROADS (Energy Rapid Overview and Decision Support) simulator, which runs on a laptop computer in <0.1 sec. En-ROADS enables users to specify many factors, including R&D-driven cost reductions in fossil fuel-based, renewable, or carbon-neutral energy technologies; taxes and subsidies for different energy sources; performance standards and energy efficiency; emissions prices; policies to address other greenhouse gas emissions (e.g., methane, nitrous oxide, chlorofluorocarbons, etc.); and assumptions about GDP and population. In World Energy, participants must balance climate change mitigation goals with equity, prices and access to energy, and the political feasibility of policies. Initial results indicate participants gain insights into the dynamics of the energy and climate systems and greater understanding of the potential impacts policies.
The influence of hazard models on GIS-based regional risk assessments and mitigation policies
Bernknopf, R.L.; Rabinovici, S.J.M.; Wood, N.J.; Dinitz, L.B.
2006-01-01
Geographic information systems (GIS) are important tools for understanding and communicating the spatial distribution of risks associated with natural hazards in regional economies. We present a GIS-based decision support system (DSS) for assessing community vulnerability to natural hazards and evaluating potential mitigation policy outcomes. The Land Use Portfolio Modeler (LUPM) integrates earth science and socioeconomic information to predict the economic impacts of loss-reduction strategies. However, the potential use of such systems in decision making may be limited when multiple but conflicting interpretations of the hazard are available. To explore this problem, we conduct a policy comparison using the LUPM to test the sensitivity of three available assessments of earthquake-induced lateral-spread ground failure susceptibility in a coastal California community. We find that the uncertainty regarding the interpretation of the science inputs can influence the development and implementation of natural hazard management policies. Copyright ?? 2006 Inderscience Enterprises Ltd.
Optimal policy for value-based decision-making.
Tajima, Satohiro; Drugowitsch, Jan; Pouget, Alexandre
2016-08-18
For decades now, normative theories of perceptual decisions, and their implementation as drift diffusion models, have driven and significantly improved our understanding of human and animal behaviour and the underlying neural processes. While similar processes seem to govern value-based decisions, we still lack the theoretical understanding of why this ought to be the case. Here, we show that, similar to perceptual decisions, drift diffusion models implement the optimal strategy for value-based decisions. Such optimal decisions require the models' decision boundaries to collapse over time, and to depend on the a priori knowledge about reward contingencies. Diffusion models only implement the optimal strategy under specific task assumptions, and cease to be optimal once we start relaxing these assumptions, by, for example, using non-linear utility functions. Our findings thus provide the much-needed theory for value-based decisions, explain the apparent similarity to perceptual decisions, and predict conditions under which this similarity should break down.
Optimal policy for value-based decision-making
Tajima, Satohiro; Drugowitsch, Jan; Pouget, Alexandre
2016-01-01
For decades now, normative theories of perceptual decisions, and their implementation as drift diffusion models, have driven and significantly improved our understanding of human and animal behaviour and the underlying neural processes. While similar processes seem to govern value-based decisions, we still lack the theoretical understanding of why this ought to be the case. Here, we show that, similar to perceptual decisions, drift diffusion models implement the optimal strategy for value-based decisions. Such optimal decisions require the models' decision boundaries to collapse over time, and to depend on the a priori knowledge about reward contingencies. Diffusion models only implement the optimal strategy under specific task assumptions, and cease to be optimal once we start relaxing these assumptions, by, for example, using non-linear utility functions. Our findings thus provide the much-needed theory for value-based decisions, explain the apparent similarity to perceptual decisions, and predict conditions under which this similarity should break down. PMID:27535638
The Roles of Science in Local Resilience Policy Development: A Case Study of Three U.S. Cities
NASA Astrophysics Data System (ADS)
Clavin, C.; Gupta, N.
2015-12-01
The development and deployment of resilience policies within communities in the United States often respond to the place-based, hazard-specific nature of disasters. Prior to the onset of a disaster, municipal and regional decision makers establish long-term development policies, such as land use planning, infrastructure investment, and economic development policies. Despite the importance of incorporating disaster risk within community decision making, resilience and disaster risk are only one consideration community decision makers weigh when choosing how and whether to establish resilience policy. Using a case study approach, we examine the governance, organizational, management, and policy making processes and the involvement of scientific advice in designing and implementing resilience policy in three U.S. communities: Los Angeles, CA; Norfolk, VA; and Flagstaff, AZ. Disaster mitigation or resilience initiatives were developed and deployed in each community with differing levels and types of scientific engagement. Engagement spanned from providing technical support with traditional risk assessment to direct engagement with community decision makers and design of community resilience outreach. Best practices observed include embedding trusted, independent scientific advisors with strong community credibility within local government agencies, use of interdisciplinary and interdepartmental expert teams with management and technical skillsets, and establishing scientifically-informed disaster and hazard scenarios to enable community outreach. Case study evidence suggest science communication and engagement within and across municipal government agencies and scientifically-informed direct engagement with community stakeholders are effective approaches and roles that disaster risk scientists can fill to support resilience policy development.
ERIC Educational Resources Information Center
Irvin, P. Shawn; Pilger, Marissa; Sáez, Leilani; Alonzo, Julie
2016-01-01
Identifying and measuring indicators of learning difficulties among young children and implementing effective instructional approaches are complicated, particularly during the transition to kindergarten. Purposeful school-based transition policies and practices support teacher and school decision-making and, thus, can ease the…
Scientific Literacy for Democratic Decision-Making
ERIC Educational Resources Information Center
Yacoubian, Hagop A.
2018-01-01
Scientifically literate citizens must be able to engage in making decisions on science-based social issues. In this paper, I start by showing examples of science curricula and policy documents that capitalise the importance of engaging future citizens in decision-making processes whether at the personal or at the societal levels. I elucidate the…
ERIC Educational Resources Information Center
van der Scheer, Emmelien A.; Visscher, Adrie J.
2018-01-01
Data-based decision making (DBDM) is an important element of educational policy in many countries, as it is assumed that student achievement will improve if teachers worked in a data-based way. However, studies that evaluate rigorously the effects of DBDM on student achievement are scarce. In this study, the effects of an intensive…
Cooke, Mary; Hurley, Ciarán
2008-05-01
We aimed to identify policy, process and ethical issues related to allocation of National Health Service resources when patients with end-of-life illness are referred to acute care services. Sharing healthcare decisions denotes a different partnership between professionals and patients when patients are empowered to define their needs. Implementation of a transition from professional to patient decision-making appears to be dependent upon its interpretation by personnel delivering care using the local trust policy. The outcome of this is a reformation of responsibility for budget allocation, choice of acute care provider and selecting services, currently in the realm of primary care; be it the general practitioner, community practitioners, or the patient. We used a 'lens' approach to case study analysis in which the lens is constructed of a model of policy analysis and four principles of biomedical ethics. A patient's decision to decline care proposed by an Accident and Emergency department nurse and the nurse's response to that decision expose a policy that restricts the use of ambulance transport and with that, flexibility in responses to patients' decisions. End-of-life care partnership decisions require sensitivity and flexibility from all healthcare practitioners. We found that policy-based systems currently used to deliver care across the primary care - hospital care border are far from seamless and can lead to foreseeable problems. Health professionals responsible for the care of a patient at the end of life should consider the holistic outcomes of resource allocation decisions for patients. Government and health professional agenda suggest that patients should be given a greater element of control over their healthcare than has historically been the case. When patients take responsibility for their decisions, healthcare personnel should recognize that this signals a shift in the nature of the professional-patient relationship to one of partnership.
ERIC Educational Resources Information Center
Foster, Lisa; LaSota, Robin; Yeide, Martha
2015-01-01
The purpose of this investigation is to report about study identification practices across evidence-based registries and clearinghouses in social policy fields, which serve as a resource for scientific, evidence-based decision-making about practices about desired outcomes in these social policy fields. The information retrieval procedures of the…
Code of Federal Regulations, 2012 CFR
2012-07-01
.... (b) That the decision to protect unclassified information as DoD UCNI shall be based on a... requirements of 10 U.S.C. 128 necessary to protect the health and safety of the public or the common defense... DEFENSE UNCLASSIFIED CONTROLLED NUCLEAR INFORMATION (DOD UCNI) § 223.4 Policy. It is DoD policy: (a) To...
Code of Federal Regulations, 2011 CFR
2011-07-01
.... (b) That the decision to protect unclassified information as DoD UCNI shall be based on a... requirements of 10 U.S.C. 128 necessary to protect the health and safety of the public or the common defense... DEFENSE UNCLASSIFIED CONTROLLED NUCLEAR INFORMATION (DOD UCNI) § 223.4 Policy. It is DoD policy: (a) To...
On the design of computer-based models for integrated environmental science.
McIntosh, Brian S; Jeffrey, Paul; Lemon, Mark; Winder, Nick
2005-06-01
The current research agenda in environmental science is dominated by calls to integrate science and policy to better understand and manage links between social (human) and natural (nonhuman) processes. Freshwater resource management is one area where such calls can be heard. Designing computer-based models for integrated environmental science poses special challenges to the research community. At present it is not clear whether such tools, or their outputs, receive much practical policy or planning application. It is argued that this is a result of (1) a lack of appreciation within the research modeling community of the characteristics of different decision-making processes including policy, planning, and (2) participation, (3) a lack of appreciation of the characteristics of different decision-making contexts, (4) the technical difficulties in implementing the necessary support tool functionality, and (5) the socio-technical demands of designing tools to be of practical use. This article presents a critical synthesis of ideas from each of these areas and interprets them in terms of design requirements for computer-based models being developed to provide scientific information support for policy and planning. Illustrative examples are given from the field of freshwater resources management. Although computer-based diagramming and modeling tools can facilitate processes of dialogue, they lack adequate simulation capabilities. Component-based models and modeling frameworks provide such functionality and may be suited to supporting problematic or messy decision contexts. However, significant technical (implementation) and socio-technical (use) challenges need to be addressed before such ambition can be realized.
Irrigation water policy analysis using a business simulation game
NASA Astrophysics Data System (ADS)
Buchholz, M.; Holst, G.; Musshoff, O.
2016-10-01
Despite numerous studies on farmers' responses to changing irrigation water policies, uncertainties remain about the potential of water pricing schemes and water quotas to reduce irrigation. Thus far, policy impact analysis is predominantly based upon rational choice models that assume behavioral assumptions, such as a perfectly rational profit-maximizing decision maker. Also, econometric techniques are applied which could lack internal validity due to uncontrolled field data. Furthermore, such techniques are not capable of identifying ill-designed policies prior to their implementation. With this in mind, we apply a business simulation game for ex ante policy impact analysis of irrigation water policies at the farm level. Our approach has the potential to reveal the policy-induced behavioral change of the participants in a controlled environment. To do so, we investigate how real farmers from Germany, in an economic experiment, respond to a water pricing scheme and a water quota intending to reduce irrigation. In the business simulation game, the participants manage a "virtual" cash-crop farm for which they make crop allocation and irrigation decisions during several production periods, while facing uncertain product prices and weather conditions. The results reveal that a water quota is able to reduce mean irrigation applications, while a water pricing scheme does not have an impact, even though both policies exhibit equal income effects for the farmers. However, both policies appear to increase the variation of irrigation applications. Compared to a perfectly rational profit-maximizing decision maker, the participants apply less irrigation on average, both when irrigation is not restricted and when a water pricing scheme applies. Moreover, the participants' risk attitude affects the irrigation decisions.
Process-Based Governance in Public Administrations Using Activity-Based Costing
NASA Astrophysics Data System (ADS)
Becker, Jörg; Bergener, Philipp; Räckers, Michael
Decision- and policy-makers in public administrations currently lack on missing relevant information for sufficient governance. In Germany the introduction of New Public Management and double-entry accounting enable public administrations to get the opportunity to use cost-centered accounting mechanisms to establish new governance mechanisms. Process modelling in this case can be a useful instrument to help the public administrations decision- and policy-makers to structure their activities and capture relevant information. In combination with approaches like Activity-Based Costing, higher management level can be supported with a reasonable data base for fruitful and reasonable governance approaches. Therefore, the aim of this article is combining the public sector domain specific process modelling method PICTURE and concept of activity-based costing for supporting Public Administrations in process-based Governance.
Role of ideas and ideologies in evidence-based health policy.
Prinja, S
2010-01-01
Policy making in health is largely thought to be driven by three 'I's namely ideas, interests and institutions. Recent years have seen a shift in approach with increasing reliance being placed on role of evidence for policy making. The present article ascertains the role of ideas and ideologies in shaping evidence which is used to aid in policy decisions. The article discusses different theories of research-policy interface and the relative freedom of research-based evidence from the influence of ideas. Examples from developed and developed countries are cited to illustrate the contentions made. The article highlights the complexity of the process of evidence-based policy making, in a world driven by existing political, social and cultural ideologies. Consideration of this knowledge is paramount where more efforts are being made to bridge the gap between the 'two worlds' of researchers and policy makers to make evidence-based policy as also for policy analysts.
Integrating Agriculture and Conservation
Vandever, Mark W.
2010-01-01
The USGS produces the needed science-based information to guide management actions and policy decisions that support wildlife habitat and other environmental services compatible with USDA conservation goals and farm operations. The Policy Analysis and Science Assistance Branch of the Fort Collins Science Center (FORT) has conducted research involving a national landowner survey and numerous short- and long-term evaluations regarding vegetation responses to land management practices. This research helps land and resource managers to make informed decisions and resolve resource management conflicts.
Giabbanelli, Philippe J.; Arah, Onyebuchi A.; Zimmerman, Frederick J.
2014-01-01
Objectives. Unhealthy eating is a complex-system problem. We used agent-based modeling to examine the effects of different policies on unhealthy eating behaviors. Methods. We developed an agent-based simulation model to represent a synthetic population of adults in Pasadena, CA, and how they make dietary decisions. Data from the 2007 Food Attitudes and Behaviors Survey and other empirical studies were used to calibrate the parameters of the model. Simulations were performed to contrast the potential effects of various policies on the evolution of dietary decisions. Results. Our model showed that a 20% increase in taxes on fast foods would lower the probability of fast-food consumption by 3 percentage points, whereas improving the visibility of positive social norms by 10%, either through community-based or mass-media campaigns, could improve the consumption of fruits and vegetables by 7 percentage points and lower fast-food consumption by 6 percentage points. Zoning policies had no significant impact. Conclusions. Interventions emphasizing healthy eating norms may be more effective than directly targeting food prices or regulating local food outlets. Agent-based modeling may be a useful tool for testing the population-level effects of various policies within complex systems. PMID:24832414
NASA Astrophysics Data System (ADS)
Noble, Bram F.; Christmas, Lisa M.
2008-01-01
This article presents a methodological framework for strategic environmental assessment (SEA) application. The overall objective is to demonstrate SEA as a systematic and structured policy, plan, and program (PPP) decision support tool. In order to accomplish this objective, a stakeholder-based SEA application to greenhouse gas (GHG) mitigation policy options in Canadian agriculture is presented. Using a mail-out impact assessment exercise, agricultural producers and nonproducers from across the Canadian prairie region were asked to evaluate five competing GHG mitigation options against 13 valued environmental components (VECs). Data were analyzed using multi-criteria and exploratory analytical techniques. The results suggest considerable variation in perceived impacts and GHG mitigation policy preferences, suggesting that a blanket policy approach to GHG mitigation will create gainers and losers based on soil type and associate cropping and on-farm management practices. It is possible to identify a series of regional greenhouse gas mitigation programs that are robust, socially meaningful, and operationally relevant to both agricultural producers and policy decision makers. The assessment demonstrates the ability of SEA to address, in an operational sense, environmental problems that are characterized by conflicting interests and competing objectives and alternatives. A structured and systematic SEA methodology provides the necessary decision support framework for the consideration of impacts, and allows for PPPs to be assessed based on a much broader set of properties, objectives, criteria, and constraints whereas maintaining rigor and accountability in the assessment process.
Pavement maintenance optimization model using Markov Decision Processes
NASA Astrophysics Data System (ADS)
Mandiartha, P.; Duffield, C. F.; Razelan, I. S. b. M.; Ismail, A. b. H.
2017-09-01
This paper presents an optimization model for selection of pavement maintenance intervention using a theory of Markov Decision Processes (MDP). There are some particular characteristics of the MDP developed in this paper which distinguish it from other similar studies or optimization models intended for pavement maintenance policy development. These unique characteristics include a direct inclusion of constraints into the formulation of MDP, the use of an average cost method of MDP, and the policy development process based on the dual linear programming solution. The limited information or discussions that are available on these matters in terms of stochastic based optimization model in road network management motivates this study. This paper uses a data set acquired from road authorities of state of Victoria, Australia, to test the model and recommends steps in the computation of MDP based stochastic optimization model, leading to the development of optimum pavement maintenance policy.
Peters, Ellen; Klein, William; Kaufman, Annette; Meilleur, Louise; Dixon, Anna
2013-01-01
Public policy decisions often appear based on an assumption that providing more options, more information, and greater decision-making autonomy to consumers will produce better outcomes. We examine reasons why this “more-is-better” approach exists based on the psychological literature. Although better outcomes can result from informed consumer choice, we argue that more options, information, and autonomy can also lead to unintended negative consequences. We use mostly health-related policies and guidelines from the United States and elsewhere as exemplars. We consider various psychological mechanisms that cause these unintended consequences including cognitive overload, affect, and anticipated regret, information salience and availability, and trust in governments as authoritative information providers. We also point toward potential solutions based on psychological research that may reduce the negative unintended consequences of a “more-is-better” approach. PMID:24000291
Health Care Organizations and Policy Leadership: Perspectives on Nonsmoker-Only Hiring Policies.
McDaniel, Patricia A; Malone, Ruth E
2018-02-01
To explore employers' decisions to base hiring policies on tobacco or nicotine use and community perspectives on such policies, and analyze the implications for organizational identity, community engagement, and health promotion. From 2013 to 2016, 11 executives from six health care organizations and one non-health-care organization with nonsmoker-only hiring policies were interviewed about why and how their policies were created and implemented, concerns about the policies, and perceptions of employee and public reactions. Focus groups were conducted with community members (n = 51) who lived in or near cities where participating employers were based, exploring participants' opinions about why an employer would stop hiring smokers and their support (or not) for such a policy. Most employers excluded from employment those using all forms of nicotine. Several explained their adoption of the policy as a natural extension of a smoke-free campus and as consistent with their identity as health care organizations. They regarded the policy as promoting health. No employer mentioned engaging in a community dialogue before adopting the policy or reported efforts to track the policy's impact on rejected applicants. Community members understood the cost-saving appeal of such policies, but most opposed them. They made few exceptions for health care organizations. Policy decisions undertaken by health care organizations have influence beyond their immediate setting and may establish precedents that others follow. Nonsmoker-only hiring policies may fit with a health care organization's institutional identity but may not be congruent with community values or promote public health.
Ethics and public health emergencies: rationing vaccines.
Wynia, Matthew K
2006-01-01
There are three broad ethical issues related to handling public health emergencies. They are the three R's-rationing, restrictions and responsibilities. Recently, a severe shortage of annual influenza vaccine in the US, combined with the threat of pandemic flu, has provided an opportunity for policy makers to think about rationing in very concrete terms. Some lessons from annual flu vaccination likely will apply to pandemic vaccine distribution, but many preparatory decisions must be based on very rough estimates. What ethical principles should guide rationing decisions, what data should inform these decisions, how to revise decisions as new data emerge, and how to implement rationing decisions on the ground are all important considerations. In addition, ethicists might be able to help policy makers think through the importance of international cooperation in surmounting global rationing dilemmas and to accept the inevitable responsibilities of government in making and implementing rationing decisions.
A Multidisciplinary Research Agenda for Understanding Vaccine-Related Decisions
Larson, Heidi; Leask, Julie; Aggett, Sian; Sevdalis, Nick; Thomson, Angus
2013-01-01
There is increasingly broad global recognition of the need to better understand determinants of vaccine acceptance. Fifteen social science, communication, health, and medical professionals (the “Motors of Trust in Vaccination” (MOTIV) think tank) explored factors relating to vaccination decision-making as a step to building a multidisciplinary research agenda. One hundred and forty seven factors impacting decisions made by consumers, professionals, and policy makers on vaccine acceptance, delay, or refusal were identified and grouped into three major categories: cognition and decision-making; groups and social norms; and communication and engagement. These factors should help frame a multidisciplinary research agenda to build an evidence base on the determinants of vaccine acceptance to inform the development of interventions and vaccination policies. PMID:26344114
Using Decision Structures for Policy Analysis in Software Product-line Evolution - A Case Study
NASA Astrophysics Data System (ADS)
Sarang, Nita; Sanglikar, Mukund A.
Project management decisions are the primary basis for project success (or failure). Mostly, such decisions are based on an intuitive understanding of the underlying software engineering and management process and have a likelihood of being misjudged. Our problem domain is product-line evolution. We model the dynamics of the process by incorporating feedback loops appropriate to two decision structures: staffing policy, and the forces of growth associated with long-term software evolution. The model is executable and supports project managers to assess the long-term effects of possible actions. Our work also corroborates results from earlier studies of E-type systems, in particular the FEAST project and the rules for software evolution, planning and management.
Shared decision making as part of value based care: New U.S. policies challenge our readiness.
Spatz, Erica S; Elwyn, Glyn; Moulton, Benjamin W; Volk, Robert J; Frosch, Dominick L
2017-06-01
Shared decision making in the United States is increasingly being recognized as part of value-based care. During the last decade, several state and federal initiatives have linked shared decision making with reimbursement and increased protection from litigation. Additionally, private and public foundations are increasingly funding studies to identify best practices for moving shared decision making from the research world into clinical practice. These shifts offer opportunities and challenges for ensuring effective implementation. Copyright © 2017. Published by Elsevier GmbH.
Evidence-based health policy-making, hospital funding and health insurance.
Palmer, G R
2000-02-07
An important goal of health services research is to improve the efficiency and effectiveness of health services through a quantitative and evidence-based approach. There are many limitations to the use of evidence in health policy-making, such as differences in what counts as evidence between the various disciplines involved, and a heavy reliance on theory in social science disciplines. Community and interest group values, ideological positions and political assessments inevitably intrude into government health policy-making. The importance of these factors is accentuated by the current absence of evidence on the impact of policy options for improving the health status of the community, and ensuring that efficiency and equity objectives for health services are also met. Analysis of recent hospital funding and private health insurance initiatives shows the limited role of evidence in the making of these decisions. Decision-making about health policy might be improved in the future by initiatives such as greater exposure of health professionals to educational inputs with a policy focus; increased contribution of doctors to health services research via special postgraduate programs; and establishing a national, multidisciplinary centre for health policy research and evaluation.
NASA Astrophysics Data System (ADS)
Alexandridis, Konstantinos T.
This dissertation adopts a holistic and detailed approach to modeling spatially explicit agent-based artificial intelligent systems, using the Multi Agent-based Behavioral Economic Landscape (MABEL) model. The research questions that addresses stem from the need to understand and analyze the real-world patterns and dynamics of land use change from a coupled human-environmental systems perspective. Describes the systemic, mathematical, statistical, socio-economic and spatial dynamics of the MABEL modeling framework, and provides a wide array of cross-disciplinary modeling applications within the research, decision-making and policy domains. Establishes the symbolic properties of the MABEL model as a Markov decision process, analyzes the decision-theoretic utility and optimization attributes of agents towards comprising statistically and spatially optimal policies and actions, and explores the probabilogic character of the agents' decision-making and inference mechanisms via the use of Bayesian belief and decision networks. Develops and describes a Monte Carlo methodology for experimental replications of agent's decisions regarding complex spatial parcel acquisition and learning. Recognizes the gap on spatially-explicit accuracy assessment techniques for complex spatial models, and proposes an ensemble of statistical tools designed to address this problem. Advanced information assessment techniques such as the Receiver-Operator Characteristic curve, the impurity entropy and Gini functions, and the Bayesian classification functions are proposed. The theoretical foundation for modular Bayesian inference in spatially-explicit multi-agent artificial intelligent systems, and the ensembles of cognitive and scenario assessment modular tools build for the MABEL model are provided. Emphasizes the modularity and robustness as valuable qualitative modeling attributes, and examines the role of robust intelligent modeling as a tool for improving policy-decisions related to land use change. Finally, the major contributions to the science are presented along with valuable directions for future research.
RF-CLASS: A Remote-sensing-based Interoperable Web service system for Flood Crop Loss Assessment
NASA Astrophysics Data System (ADS)
Di, L.; Yu, G.; Kang, L.
2014-12-01
Flood is one of the worst natural disasters in the world. Flooding often causes significant crop loss over large agricultural areas in the United States. Two USDA agencies, the National Agricultural Statistics Service (NASS) and Risk Management Agency (RMA), make decisions on flood statistics, crop insurance policy, and recovery management by collecting, analyzing, reporting, and utilizing flooded crop acreage and crop loss information. NASS has the mandate to report crop loss after all flood events. RMA manages crop insurance policy and uses crop loss information to guide the creation of the crop insurance policy and the aftermath compensation. Many studies have been conducted in the recent years on monitoring floods and assessing the crop loss due to floods with remote sensing and geographic information technologies. The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS), being developed with NASA and USDA support, aims to significantly improve the post-flood agricultural decision-making supports in USDA by integrating and advancing the recently developed technologies. RF-CLASS will operationally provide information to support USDA decision making activities on collecting and archiving flood acreage and duration, recording annual crop loss due to flood, assessing the crop insurance rating areas, investigating crop policy compliance, and spot checking of crop loss claims. This presentation will discuss the remote sensing and GIS based methods for deriving the needed information to support the decision making, the RF-CLASS cybersystem architecture, the standards and interoperability arrangements in the system, and the current and planned capabilities of the system.
29 CFR 790.18 - “Administrative practice or enforcement policy.”
Code of Federal Regulations, 2010 CFR
2010-07-01
... may be, and frequently are, based upon decisions or views which the agency has set forth in its... happening of some contingency, such as a final decision in pending litigation. 112 See United States v... court decisions he has changed his view as to coverage of a certain class of employees under the Fair...
Design Decisions in Developing Learning Trajectories-Based Assessments in Mathematics: A Case Study
ERIC Educational Resources Information Center
Penuel, William R.; Confrey, Jere; Maloney, Alan; Rupp, André A.
2014-01-01
This article analyzes the design decisions of a team developing diagnostic assessments for a learning trajectory focused on rational number reasoning. The analysis focuses on the design rationale for key decisions about how to develop the cognitive assessments and related validity arguments within a fluid state and national policy context. The…
A glossary of theories for understanding policymaking.
Smith, Katherine Elizabeth; Katikireddi, Srinivasa Vittal
2013-02-01
Public health practitioners and researchers often seek to influence public policies in order to improve population health and/or reduce health inequalities. However, these efforts frequently appear to be uninformed by the many empirically-based theories about policymaking that have been developed within political science. This glossary provides a brief overview of some of the most popular of these theories, describing how each: frames the policymaking process; portrays the relationships and influence of specific policy actors; and depicts the potential for policy change (or inertia). Examples of their application to public health are provided to help improve understanding of the material presented. Throughout the article, the implications of the different theories for public health researchers and advocates seeking to inform policy decisions are emphasised. The glossary aims to provide an accessible overview to key theories about policy and decision-making, with a view to supporting public health efforts to achieve healthier public policies.
Harun, N A; Finlay, A Y; Salek, M S; Piguet, V
2015-09-01
Outpatient discharge decision making in dermatology is poorly understood. To identify the influences on clinicians' thought processes when making discharge decisions in dermatology outpatient clinics. Forty clinicians from 11 National Health Service Trusts in England were interviewed. The interviews were audiorecorded, transcribed, coded and thematically analysed. The mean age of the clinicians was 48.8 years (range 33.0-67.0), 17 (43%) were men and 19 (48%) had > 20 years of clinical experience. One hundred and forty-eight influences were reported, with five main themes: (i) disease-based influences included type of diagnosis (100% of clinicians), guidelines (100%) and treatment needed (100%); (ii) clinician-based influences included the clinician's level of experience (100%), seniority (37%), emotional attitude (95%), 'gut feeling' (25%), personal attitude towards discharge (45%) and level of perception (100%); (iii) patient-based influences included patients' ability to cope with their disease (100%), wishes (70%), quality of life (32%), command of English (40%) and cultural background (25%); (iv) practice-based influences included good primary care (100%), secondary support structure (100%) and clinic capacity pressure (67%); (v) policy-based influences included pressure from hospital managers (57%) and an active discharge policy (7%). Fourteen (9%) influences were potentially inappropriate. This study has identified multiple factors influencing outpatient discharge decision making. This provides the basis for developing evidence-based training to improve discharge decision appropriateness. © 2015 British Association of Dermatologists.
Gottlieb, Jacqueline
2018-05-01
In natural behavior we actively gather information using attention and active sensing behaviors (such as shifts of gaze) to sample relevant cues. However, while attention and decision making are naturally coordinated, in the laboratory they have been dissociated. Attention is studied independently of the actions it serves. Conversely, decision theories make the simplifying assumption that the relevant information is given, and do not attempt to describe how the decision maker may learn and implement active sampling policies. In this paper I review recent studies that address questions of attentional learning, cue validity and information seeking in humans and non-human primates. These studies suggest that learning a sampling policy involves large scale interactions between networks of attention and valuation, which implement these policies based on reward maximization, uncertainty reduction and the intrinsic utility of cognitive states. I discuss the importance of using such paradigms for formalizing the role of attention, as well as devising more realistic theories of decision making that capture a broader range of empirical observations. Copyright © 2017 Elsevier Ltd. All rights reserved.
O'Brien-Pallas, Linda; Hayes, Laureen
2008-12-01
This paper draws upon empirical research and other published sources to discuss nursing workforce issues, the challenges of using health human resource research in policy decisions and the importance of evidence-based policies and practices for nursing care and outcomes. Increasing evidence points to the critical relationship between registered nurse care and improved patient outcomes. The negative impact that insufficient nurse staffing has on patient, nursing and system outcomes has influenced health human resource researchers to further examine nurses' work environments to determine factors that are amenable to policy change. Survey of literature was conducted. Electronic databases were searched using keywords. Sustained health human resource planning efforts by policy makers are difficult given changing governments and political agendas. The health human resource conceptual framework provides researchers and planners with a guide to decision-making that considers current circumstances as well as those factors that need to be accounted for in predicting future requirements. However, effective use of research depends on communication of findings between researchers and policymakers. Health care managers and other decision-makers in health care organisations often lack an understanding of the research process and do not always have easy access to current evidence. Also, managerial decisions are often constrained by organisational requirements such as resource availability and policies and procedures. Unless nursing workplace issues are addressed, the physiological and psychological stress in the work environments of nurses will continue. Effective health human resource policy and planning (at the macro level) and management strategies (at the micro level) would stabilise the nursing workforce and reduce job stress. Furthermore, the efficiency and cost-effectiveness of the health system could be enhanced through improved health outcomes of care providers and health care clients.
ERIC Educational Resources Information Center
Hite, Seven J.
Educational planners and policymakers are rarely able to base their decision-making on sound information and research, according to this book. Because the situation is even more difficult in developing countries, educational policy often is based on research conducted in others parts of the world. This book provides a practical framework that can…
ERIC Educational Resources Information Center
Straubhaar, Rolf
2017-01-01
The purpose of this article is to ethnographically document the market-based ideological assumptions of Rio de Janeiro's educational policymakers, and the ways in which those assumptions have informed these policymakers' decision to implement value-added modeling-based teacher evaluation policies. Drawing on the anthropological literature on…
ERIC Educational Resources Information Center
Weasel, Lisa H.; Finkel, Liza
2016-01-01
Deliberative democracy, a consensus model of decision making, has been used in real-life policy making involving controversial, science-related issues to increase citizen participation and engagement. Here, we describe a pedagogical approach based on this model implemented in a large, lecture-based, nonmajors introductory biology course at an…
NASA Technical Reports Server (NTRS)
Eckman, Richard S.
2009-01-01
Earth observations are playing an increasingly significant role in informing decision making in the energy sector. In renewable energy applications, space-based observations now routinely augment sparse ground-based observations used as input for renewable energy resource assessment applications. As one of the nine Group on Earth Observations (GEO) societal benefit areas, the enhancement of management and policy decision making in the energy sector is receiving attention in activities conducted by the Committee on Earth Observation Satellites (CEOS). CEOS has become the "space arm" for the implementation of the Global Earth Observation System of Systems (GEOSS) vision. It is directly supporting the space-based, near-term tasks articulated in the GEO three-year work plan. This paper describes a coordinated program of demonstration projects conducted by CEOS member agencies and partners to utilize Earth observations to enhance energy management end-user decision support systems. I discuss the importance of engagement with stakeholders and understanding their decision support needs in successfully increasing the uptake of Earth observation products for societal benefit. Several case studies are presented, demonstrating the importance of providing data sets in formats and units familiar and immediately usable by decision makers. These projects show the utility of Earth observations to enhance renewable energy resource assessment in the developing world, forecast space-weather impacts on the power grid, and improve energy efficiency in the built environment.
Guidelines for Using Movement Science to Inform Biodiversity Policy
NASA Astrophysics Data System (ADS)
Barton, Philip S.; Lentini, Pia E.; Alacs, Erika; Bau, Sana; Buckley, Yvonne M.; Burns, Emma L.; Driscoll, Don A.; Guja, Lydia K.; Kujala, Heini; Lahoz-Monfort, José J.; Mortelliti, Alessio; Nathan, Ran; Rowe, Ross; Smith, Annabel L.
2015-10-01
Substantial advances have been made in our understanding of the movement of species, including processes such as dispersal and migration. This knowledge has the potential to improve decisions about biodiversity policy and management, but it can be difficult for decision makers to readily access and integrate the growing body of movement science. This is, in part, due to a lack of synthesis of information that is sufficiently contextualized for a policy audience. Here, we identify key species movement concepts, including mechanisms, types, and moderators of movement, and review their relevance to (1) national biodiversity policies and strategies, (2) reserve planning and management, (3) threatened species protection and recovery, (4) impact and risk assessments, and (5) the prioritization of restoration actions. Based on the review, and considering recent developments in movement ecology, we provide a new framework that draws links between aspects of movement knowledge that are likely the most relevant to each biodiversity policy category. Our framework also shows that there is substantial opportunity for collaboration between researchers and government decision makers in the use of movement science to promote positive biodiversity outcomes.
Raybould, Alan; Macdonald, Phil
2018-01-01
We describe two contrasting methods of comparative environmental risk assessment for genetically modified (GM) crops. Both are science-based, in the sense that they use science to help make decisions, but they differ in the relationship between science and policy. Policy-led comparative risk assessment begins by defining what would be regarded as unacceptable changes when the use a particular GM crop replaces an accepted use of another crop. Hypotheses that these changes will not occur are tested using existing or new data, and corroboration or falsification of the hypotheses is used to inform decision-making. Science-led comparative risk assessment, on the other hand, tends to test null hypotheses of no difference between a GM crop and a comparator. The variables that are compared may have little or no relevance to any previously stated policy objective and hence decision-making tends to be ad hoc in response to possibly spurious statistical significance. We argue that policy-led comparative risk assessment is the far more effective method. With this in mind, we caution that phenotypic profiling of GM crops, particularly with omics methods, is potentially detrimental to risk assessment. PMID:29755975
Freebairn, L; Atkinson, J; Kelly, P; McDonnell, G; Rychetnik, L
2016-09-21
Evidence-informed decision-making is essential to ensure that health programs and services are effective and offer value for money; however, barriers to the use of evidence persist. Emerging systems science approaches and advances in technology are providing new methods and tools to facilitate evidence-based decision-making. Simulation modelling offers a unique tool for synthesising and leveraging existing evidence, data and expert local knowledge to examine, in a robust, low risk and low cost way, the likely impact of alternative policy and service provision scenarios. This case study will evaluate participatory simulation modelling to inform the prevention and management of gestational diabetes mellitus (GDM). The risks associated with GDM are well recognised; however, debate remains regarding diagnostic thresholds and whether screening and treatment to reduce maternal glucose levels reduce the associated risks. A diagnosis of GDM may provide a leverage point for multidisciplinary lifestyle modification interventions. This research will apply and evaluate a simulation modelling approach to understand the complex interrelation of factors that drive GDM rates, test options for screening and interventions, and optimise the use of evidence to inform policy and program decision-making. The study design will use mixed methods to achieve the objectives. Policy, clinical practice and research experts will work collaboratively to develop, test and validate a simulation model of GDM in the Australian Capital Territory (ACT). The model will be applied to support evidence-informed policy dialogues with diverse stakeholders for the management of GDM in the ACT. Qualitative methods will be used to evaluate simulation modelling as an evidence synthesis tool to support evidence-based decision-making. Interviews and analysis of workshop recordings will focus on the participants' engagement in the modelling process; perceived value of the participatory process, perceived commitment, influence and confidence of stakeholders in implementing policy and program decisions identified in the modelling process; and the impact of the process in terms of policy and program change. The study will generate empirical evidence on the feasibility and potential value of simulation modelling to support knowledge mobilisation and consensus building in health settings.
Roger N. Clark; Errol E. Meidinger
1998-01-01
Relations between science and policy concerning many issues (e.g., health, energy, natural resources) have been changing worldwide. Public pressure to resolve such complex and often controversial issues has resulted in policymakers and policy implementers seeking better knowledge on which to base their decisions. As a result, scientists have become more actively...
NASA Astrophysics Data System (ADS)
Frey, Elaine F.
Even though environmental policy can greatly affect the path of technology diffusion, the economics literature contains limited empirical evidence of this relationship. My research will contribute to the available evidence by providing insight into the technology adoption decisions of electric generating firms. Since policies are often evaluated based on the incentives they provide to promote adoption of new technologies, it is important that policy makers understand the relationship between technological diffusion and regulation structure to make informed decisions. Lessons learned from this study can be used to guide future policies such as those directed to mitigate climate change. I first explore the diffusion of scrubbers, a sulfur dioxide (SO 2) abatement technology, in response to federal market-based regulations and state command-and-control regulations. I develop a simple theoretical model to describe the adoption decisions of scrubbers and use a survival model to empirically test the theoretical model. I find that power plants with strict command-and-control regulations have a high probability of installing a scrubber. These findings suggest that although market-based regulations have encouraged diffusion, many scrubbers have been installed because of state regulatory pressure. Although tradable permit systems are thought to give firms more flexibility in choosing abatement technologies, I show that interactions between a permit system and pre-existing command-and-control regulations can limit that flexibility. In a separate analysis, I explore the diffusion of combined cycle (CC) generating units, which are natural gas-fired generating units that are cleaner and more efficient than alternative generating units. I model the decision to consider adoption of a CC generating unit and the extent to which the technology is adopted in response to environmental regulations imposed on new sources of pollutants. To accomplish this, I use a zero-inflated Poisson model and focus on both the decision to adopt a CC unit at an existing power plant as well as the firm-level decision to adopt a CC unit in either a new or an existing power plant. Evidence from this empirical investigation shows that environmental regulation has a significant effect on both the decision to consider adoption as well as the extent of adoption.
Integrated modelling of stormwater treatment systems uptake.
Castonguay, A C; Iftekhar, M S; Urich, C; Bach, P M; Deletic, A
2018-05-24
Nature-based solutions provide a variety of benefits in growing cities, ranging from stormwater treatment to amenity provision such as aesthetics. However, the decision-making process involved in the installation of such green infrastructure is not straightforward, as much uncertainty around the location, size, costs and benefits impedes systematic decision-making. We developed a model to simulate decision rules used by local municipalities to install nature-based stormwater treatment systems, namely constructed wetlands, ponds/basins and raingardens. The model was used to test twenty-four scenarios of policy-making, by combining four asset selection, two location selection and three budget constraint decision rules. Based on the case study of a local municipality in Metropolitan Melbourne, Australia, the modelled uptake of stormwater treatment systems was compared with attributes of real-world systems for the simulation period. Results show that the actual budgeted funding is not reliable to predict systems' uptake and that policy-makers are more likely to plan expenditures based on installation costs. The model was able to replicate the cumulative treatment capacity and the location of systems. As such, it offers a novel approach to investigate the impact of using different decision rules to provide environmental services considering biophysical and economic factors. Copyright © 2018 Elsevier Ltd. All rights reserved.
The role of risk-based prioritization in total quality management
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bennett, C.T.
1994-10-01
The climate in which government managers must make decisions grows more complex and uncertain. All stakeholders - the public, industry, and Congress - are demanding greater consciousness, responsibility, and accountability of programs and their budgets. Yet, managerial decisions have become multifaceted, involve greater risk, and operate over much longer time periods. Over the last four or five decades, as policy analysis and decisions became more complex, scientists from psychology, operations research, systems science, and economics have developed a more or less coherent process called decision analysis to aid program management. The process of decision analysis - a systems theoretic approachmore » - provides the backdrop for this paper. The Laboratory Integrated Prioritization System (LIPS) has been developed as a systems analytic and risk-based prioritization tool to aid the management of the Tri-Labs` (Lawrence Livermore, Los Alamos, and Sandia) operating resources. Preliminary analyses of the effects of LIPS has confirmed the practical benefits of decision and systems sciences - the systematic, quantitative reduction in uncertainty. To date, the use of LIPS - and, hence, its value - has been restricted to resource allocation within the Tri-Labs` operations budgets. This report extends the role of risk-based prioritization to the support of DOE Total Quality Management (TQM) programs. Furthermore, this paper will argue for the requirement to institutionalize an evolutionary, decision theoretic approach to the policy analysis of the Department of Energy`s Program Budget.« less
Kernel-Based Approximate Dynamic Programming Using Bellman Residual Elimination
2010-02-01
framework is the ability to utilize stochastic system models, thereby allowing the system to make sound decisions even if there is randomness in the system ...approximate policy when a system model is unavailable. We present theoretical analysis of all BRE algorithms proving convergence to the optimal policy in...policies based on MDPs is that there may be parameters of the system model that are poorly known and/or vary with time as the system operates. System
Sinclair, Shane; Hagen, Neil A; Chambers, Carole; Manns, Braden; Simon, Anita; Browman, George P
2008-05-01
Drug decision-makers are involved in developing and implementing policy, procedure and processes to support health resource allocation regarding drug treatment formularies. A variety of approaches to decision-making, including formal decision-making frameworks, have been developed to support transparent and fair priority setting. Recently, a decision tool, 'The 6-STEPPPs Tool', was developed to assist in making decisions about new cancer drugs within the public health care system. We conducted a qualitative study, utilizing focus groups and participant observation, in order to investigate the internal frameworks that supported and challenged individual participants as they applied this decision tool within a multi-stakeholder decision process. We discovered that health care resource allocation engaged not only the minds of decision-makers but profoundly called on the often conflicting values of the heart. Objective decision-making frameworks for new drug therapies need to consider the subjective internal frameworks of decision-makers that affect decisions. Understanding the very human, internal turmoil experienced by individuals involved in health care resource allocation, sheds additional insight into how to account for reasonableness and how to better support difficult decisions through transparent, values-based resource allocation policy, procedures and processes.
USING LIFE CYCLE ASSESSMENT TOOLS FOR INTEGRATED PRODUCT POLICY
The European Union's new Integrated Product Policy directs governments and companies to consider the entire product life cycle, from cradle to grave, in their environmental decision-making process. A life-cycle based approach is intended to lead toward true environmental improvem...
Matching Preservation Decisions with Collection Development Policy.
ERIC Educational Resources Information Center
Khislovskaya, Galina
Based on communication with librarians from Russia, Mongolia, the Baltic States, Bulgaria, Slovenia, the Czech Republic, and Romania, this paper discusses library collection development and preservation policies. Highlights include: mission statements of national and regional libraries; availability of a formal structure responsible for collection…
Hunsmann, Moritz
2012-05-01
Despite the well-documented role of highly co-endemic biological cofactors in facilitating HIV transmission and the availability of comparatively inexpensive tools to control them, cofactor-related interventions are only hesitantly included into African HIV prevention strategies. Against this background, this study analyzes political obstacles to policy-uptake of evidence concerning structural HIV prevention. The data used stem from fieldwork conducted in Tanzania between 2007 and 2009. They include 92 in-depth interviews with key AIDS policymakers and observations of 8 national-level policy meetings. Adopting a political economy perspective, the study shows that 1) assuming cost-aversion as a spontaneous reflex of policymakers is empirically wrong and analytically misleading, 2) that political constituencies induce a path dependence of allocative decisions inconducive to structural prevention, 3) that interventions' political attractiveness depends on the nature of their outputs and the expected temporality of political returns, 4) that policy fragmentation entailed by vertical disease control disfavours the consideration of broader causalities, and 5) that cofactor-based measures are hampered by policymakers' perception of structural prevention as being excessively complex and ultimately tantamount to poverty eradication. Confronting the policy players' reading of the Tanzanian situation with recent and classical literature on evidence-based decision-making and the politics of public health, this paper shows that, far from being strictly evidence-driven, HIV prevention policies result from a politically negotiated aggregation of competing, frequently non-optimizing rationalities. A realistic appraisal of policy processes suggests that the failure to consider the invariably political nature of HIV-related policymaking hampers the formulation of effective, politically informed strategies for positive change. Consequently, developing policy practitioners' understanding of how to effectively engage in evidence-influenced political struggles over priorities might be more instrumental in improving HIV prevention strategies than attempts to sidestep these ineradicably antagonistic controversies though technical decision tools meant to optimize health outcomes via the formulation of 'rational consensus'. Copyright © 2012 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Arani, Mohammad Reza Sarkar; Alagamandan, Jafar; Tourani, Heidar
2004-01-01
The work-based learning model of human resource development has captured a great deal of attention and has gained increasing importance in higher education in recent years. Work-based learning is a powerful phenomenon that attempts to help policy-makers, managers and curriculum developers improve the quality of the decision and organizational…
Decision Support System for Disability Assessment and Intervention.
ERIC Educational Resources Information Center
Dowler, Denetta L.; And Others
1991-01-01
Constructed decision support system to aid referral of good candidates for rehabilitation from Social Security Administration to rehabilitation counselors. Three layers of system were gross screening based on policy guidelines, training materials, and interviews with experts; physical and mental functional capacity items derived from policy…
Economic potential of market-oriented water storage decisions: Evidence from Australia
NASA Astrophysics Data System (ADS)
Brennan, Donna
2010-08-01
Significant reforms made to Australian irrigation property rights in recent years have enabled the development of an active seasonal water market. In contrast, decisions regarding the allocation of water across time are typically based on central decisions, with little or no opportunity offered to irrigators to manage risk by physically transferring their water access right between years by leaving it in the public dam. An empirical examination of the economics of water storage is presented using a case study of the Goulburn Valley, a major irrigation region in the state of Victoria. It is shown that, compared to the historically used, centrally determined storage policy, a market-based storage policy would store more water, on average, and would also allocate more water in periods of low rainfall. The analysis indicates that the costs associated with a recent prolonged drought were $100 million more than they would have been if water storage decisions had been guided by the market and prices were 3 times higher.
Exploring the Life Expectancy Increase in Poland in the Context of CVD Mortality Fall
Kobza, Joanna; Geremek, Mariusz
2015-01-01
Life expectancy at birth is considered the best mortality-based summary indicator of the health status of the population and is useful for measuring long-term health changes. The objective of this article was to present the concept of the bottom-up policy risk assessment approach, developed to identify challenges involved in analyzing risk factor reduction policies and in assessing how the related health indicators have changed over time. This article focuses on the reasons of the significant life expectancy prolongation in Poland over the past 2 decades, thus includes policy context. The methodology details a bottom-up risk assessment approach, a chain of relations between the health outcome, risk factors, and health policy, based on Risk Assessment From Policy to Impact Dimension project guidance. A decline in cardiovascular disease mortality was a key factor that followed life expectancy prolongation. Among basic factors, tobacco and alcohol consumption, diet, physical activity, and new treatment technologies were identified. Poor health outcomes of the Polish population at the beginning of 1990s highlighted the need of the implementation of various health promotion programs, legal acts, and more effective public health policies. Evidence-based public health policy needs translating scientific research into policy and practice. The bottom-up case study template can be one of the focal tools in this process. Accountability for the health impact of policies and programs and legitimization of the decisions of policy makers has become one of the key questions nowadays in European countries’ decision-making process and in EU public health strategy. PMID:26546595
Application of HTA research on policy decision-making.
Youngkong, Sitaporn
2014-05-01
This article provides an overview of the potential uses of health technology assessment (HTA) in health technology or health intervention-related policy decision-making. It summarises the role of HTA in policy planning, health system investment, price negotiation, development of clinical practice guidelines, and communication with health professionals. While the multifaceted nature of HTA means that some aspects of the data can result in conflicting conclusions, the comprehensive approach of HTA is still recommended. To help minimise the potential conflicts within HTA data, a multicriteria decision analysis (MCDA) approach is recommended as a way to assess a number of decision criteria simultaneously. A combination of HTA with MCDA allows policy decision-making to be undertaken in an empirically rigorous and rational way. This combination can be used to support policy decision-makers in Thailand and help them prioritise topics for assessment and make informed health benefit package coverage decisions. This approach enhances the legitimacy of policy decisions by increasing the transparency, systematic nature, and inclusiveness of the process.
Linearly Adjustable International Portfolios
NASA Astrophysics Data System (ADS)
Fonseca, R. J.; Kuhn, D.; Rustem, B.
2010-09-01
We present an approach to multi-stage international portfolio optimization based on the imposition of a linear structure on the recourse decisions. Multiperiod decision problems are traditionally formulated as stochastic programs. Scenario tree based solutions however can become intractable as the number of stages increases. By restricting the space of decision policies to linear rules, we obtain a conservative tractable approximation to the original problem. Local asset prices and foreign exchange rates are modelled separately, which allows for a direct measure of their impact on the final portfolio value.
Cost-effectiveness analyses and their role in improving healthcare strategies.
Rodriguez, Maria I; Caughey, Aaron B
2013-12-01
In this era of healthcare reform, attention is focused on increasing the quality of care and access to services, while simultaneously reducing the cost. Economic evaluations can play an important role in translating research to evidence-based practice and policy. Cost-effectiveness analysis (CEA) and its utility for clinical and policy decision making among U.S. obstetricians and gynecologists is reviewed. Three case examples demonstrating the value of this methodology in decision making are considered. A discussion of the methodologic principles of CEA, the advantages, and the limitations of the methodology are presented. CEA can play an important role in evidence-based decision making, with value for clinicians and policy makers alike. These studies are of particular interest in the field of obstetrics and gynecology, in which uncertainty from epidemiologic or clinical trials exists, or multiple perspectives need to be considered (maternal, neonatal, and societal). As with all research, it is essential that economic evaluations are conducted according to established methodologic standards. Interpretation and application of results should occur with a clear understanding of both the value and the limitations of economic evaluations.
Decision Making in Health and Medicine
NASA Astrophysics Data System (ADS)
Hunink, Myriam; Glasziou, Paul; Siegel, Joanna; Weeks, Jane; Pliskin, Joseph; Elstein, Arthur; Weinstein, Milton C.
2001-11-01
Decision making in health care means navigating through a complex and tangled web of diagnostic and therapeutic uncertainties, patient preferences and values, and costs. In addition, medical therapies may include side effects, surgery may lead to undesirable complications, and diagnostic technologies may produce inconclusive results. In many clinical and health policy decisions it is necessary to counterbalance benefits and risks, and to trade off competing objectives such as maximizing life expectancy vs optimizing quality of life vs minimizing the required resources. This textbook plots a clear course through these complex and conflicting variables. It clearly explains and illustrates tools for integrating quantitative evidence-based data and subjective outcome values in making clinical and health policy decisions. An accompanying CD-ROM features solutions to the exercises, PowerPoint® presentations of the illustrations, and sample models and tables.
ERIC Educational Resources Information Center
Douglass, John Aubrey
2007-01-01
The convergence of United States federal science and economic policy that began in earnest under the Reagan administration formed the First Stage in an emerging post-Cold War drive toward technological innovation. A frenzy of new state-based initiatives now forms the Second Stage, further promoting universities as decisive tools for economic…
Decentralized control of Markovian decision processes: Existence Sigma-admissable policies
NASA Technical Reports Server (NTRS)
Greenland, A.
1980-01-01
The problem of formulating and analyzing Markov decision models having decentralized information and decision patterns is examined. Included are basic examples as well as the mathematical preliminaries needed to understand Markov decision models and, further, to superimpose decentralized decision structures on them. The notion of a variance admissible policy for the model is introduced and it is proved that there exist (possibly nondeterministic) optional policies from the class of variance admissible policies. Directions for further research are explored.
Fiscal policy to improve diets and prevent noncommunicable diseases: from recommendations to action
Downs, Shauna M; Mayes, Christopher; Trevena, Helen; Waqanivalu, Temo; Cawley, John
2018-01-01
Abstract The World Health Organization has recommended that Member States consider taxing energy-dense beverages and foods and/or subsidizing nutrient-rich foods to improve diets and prevent noncommunicable diseases. Numerous countries have either implemented taxes on energy-dense beverages and foods or are considering the implementation of such taxes. However, several major challenges to the implementation of fiscal policies to improve diets and prevent noncommunicable diseases remain. Some of these challenges relate to the cross-sectoral nature of the relevant interventions. For example, as health and economic policy-makers have different administrative concerns, performance indicators and priorities, they often consider different forms of evidence in their decision-making. In this paper, we describe the evidence base for diet-related interventions based on fiscal policies and consider the key questions that need to be asked by both health and economic policy-makers. From the health sector’s perspective, there is most evidence for the impact of taxes and subsidies on diets, with less evidence on their impacts on body weight or health. We highlight the importance of scope, the role of industry, the use of revenue and regressive taxes in informing policy decisions. PMID:29531419
Fiscal policy to improve diets and prevent noncommunicable diseases: from recommendations to action.
Thow, Anne Marie; Downs, Shauna M; Mayes, Christopher; Trevena, Helen; Waqanivalu, Temo; Cawley, John
2018-03-01
The World Health Organization has recommended that Member States consider taxing energy-dense beverages and foods and/or subsidizing nutrient-rich foods to improve diets and prevent noncommunicable diseases. Numerous countries have either implemented taxes on energy-dense beverages and foods or are considering the implementation of such taxes. However, several major challenges to the implementation of fiscal policies to improve diets and prevent noncommunicable diseases remain. Some of these challenges relate to the cross-sectoral nature of the relevant interventions. For example, as health and economic policy-makers have different administrative concerns, performance indicators and priorities, they often consider different forms of evidence in their decision-making. In this paper, we describe the evidence base for diet-related interventions based on fiscal policies and consider the key questions that need to be asked by both health and economic policy-makers. From the health sector's perspective, there is most evidence for the impact of taxes and subsidies on diets, with less evidence on their impacts on body weight or health. We highlight the importance of scope, the role of industry, the use of revenue and regressive taxes in informing policy decisions.
Impacts of subsidy policies on vaccination decisions in contact networks
NASA Astrophysics Data System (ADS)
Zhang, Hai-Feng; Wu, Zhi-Xi; Xu, Xiao-Ke; Small, Michael; Wang, Lin; Wang, Bing-Hong
2013-07-01
To motivate more people to participate in vaccination campaigns, various subsidy policies are often supplied by government and the health sectors. However, these external incentives may also alter the vaccination decisions of the broader public, and hence the choice of incentive needs to be carefully considered. Since human behavior and the networking-constrained interactions among individuals significantly impact the evolution of an epidemic, here we consider the voluntary vaccination on human contact networks. To this end, two categories of typical subsidy policies are considered: (1) under the free subsidy policy, the total amount of subsidy is distributed to a certain fraction of individual and who are vaccinated without personal cost, and (2) under the partial-offset subsidy policy, each vaccinated person is offset by a certain amount of subsidy. A vaccination decision model based on evolutionary game theory is established to study the effects of these different subsidy policies on disease control. Simulations suggest that, because the partial-offset subsidy policy encourages more people to take vaccination, its performance is significantly better than that of the free subsidy policy. However, an interesting phenomenon emerges in the partial-offset scenario: with limited amount of total subsidy, a moderate subsidy rate for each vaccinated individual can guarantee the group-optimal vaccination, leading to the maximal social benefits, while such an optimal phenomenon is not evident for the free subsidy scenario.
Tools and techniques for developing policies for complex and uncertain systems.
Bankes, Steven C
2002-05-14
Agent-based models (ABM) are examples of complex adaptive systems, which can be characterized as those systems for which no model less complex than the system itself can accurately predict in detail how the system will behave at future times. Consequently, the standard tools of policy analysis, based as they are on devising policies that perform well on some best estimate model of the system, cannot be reliably used for ABM. This paper argues that policy analysis by using ABM requires an alternative approach to decision theory. The general characteristics of such an approach are described, and examples are provided of its application to policy analysis.
ISASS Policy Statement – Lumbar Artificial Disc
Garcia, Rolando
2015-01-01
Purpose The primary goal of this Policy Statement is to educate patients, physicians, medical providers, reviewers, adjustors, case managers, insurers, and all others involved or affected by insurance coverage decisions regarding lumbar disc replacement surgery. Procedures This Policy Statement was developed by a panel of physicians selected by the Board of Directors of ISASS for their expertise and experience with lumbar TDR. The panel's recommendation was entirely based on the best evidence-based scientific research available regarding the safety and effectiveness of lumbar TDR. PMID:25785243
Education and Decision-Making: An Experimental Study on the Framing Effect in China.
Fan, Wen
2017-01-01
China's higher education expansion policy has been in effect for almost two decades. Under this policy, a growing number of youths have gained access to higher education, which aims to train students to be more rational. This study examines human rationality at a Chinese college through an experiment based on the risky-choice framing effect. The basic results show no classical framing effect with regard to individual decisions for the entire sample in a benchmark setting. However, when the participants' roles were manipulated and subsamples were investigated, a significant framing effect was found that appeared to be role-related and that varied by sex. These results help to elucidate evaluations of the effects of China's higher education policy and may assist in guiding further policy reforms.
Education and Decision-Making: An Experimental Study on the Framing Effect in China
Fan, Wen
2017-01-01
China’s higher education expansion policy has been in effect for almost two decades. Under this policy, a growing number of youths have gained access to higher education, which aims to train students to be more rational. This study examines human rationality at a Chinese college through an experiment based on the risky-choice framing effect. The basic results show no classical framing effect with regard to individual decisions for the entire sample in a benchmark setting. However, when the participants’ roles were manipulated and subsamples were investigated, a significant framing effect was found that appeared to be role-related and that varied by sex. These results help to elucidate evaluations of the effects of China’s higher education policy and may assist in guiding further policy reforms. PMID:28553247
Role of Ideas and Ideologies in Evidence-Based Health Policy
Prinja, S
2010-01-01
Policy making in health is largely thought to be driven by three ‘I’s namely ideas, interests and institutions. Recent years have seen a shift in approach with increasing reliance being placed on role of evidence for policy making. The present article ascertains the role of ideas and ideologies in shaping evidence which is used to aid in policy decisions. The article discusses different theories of research-policy interface and the relative freedom of research-based evidence from the influence of ideas. Examples from developed and developed countries are cited to illustrate the contentions made. The article highlights the complexity of the process of evidence-based policy making, in a world driven by existing political, social and cultural ideologies. Consideration of this knowledge is paramount where more efforts are being made to bridge the gap between the ‘two worlds’ of researchers and policy makers to make evidence-based policy as also for policy analysts. PMID:23112991
Pharmaceutical expenditure forecast model to support health policy decision making.
Rémuzat, Cécile; Urbinati, Duccio; Kornfeld, Åsa; Vataire, Anne-Lise; Cetinsoy, Laurent; Aballéa, Samuel; Mzoughi, Olfa; Toumi, Mondher
2014-01-01
With constant incentives for healthcare payers to contain their pharmaceutical budgets, modelling policy decision impact became critical. The objective of this project was to test the impact of various policy decisions on pharmaceutical budget (developed for the European Commission for the project 'European Union (EU) Pharmaceutical expenditure forecast' - http://ec.europa.eu/health/healthcare/key_documents/index_en.htm). A model was built to assess policy scenarios' impact on the pharmaceutical budgets of seven member states of the EU, namely France, Germany, Greece, Hungary, Poland, Portugal, and the United Kingdom. The following scenarios were tested: expanding the UK policies to EU, changing time to market access, modifying generic price and penetration, shifting the distribution chain of biosimilars (retail/hospital). Applying the UK policy resulted in dramatic savings for Germany (10 times the base case forecast) and substantial additional savings for France and Portugal (2 and 4 times the base case forecast, respectively). Delaying time to market was found be to a very powerful tool to reduce pharmaceutical expenditure. Applying the EU transparency directive (6-month process for pricing and reimbursement) increased pharmaceutical expenditure for all countries (from 1.1 to 4 times the base case forecast), except in Germany (additional savings). Decreasing the price of generics and boosting the penetration rate, as well as shifting distribution of biosimilars through hospital chain were also key methods to reduce pharmaceutical expenditure. Change in the level of reimbursement rate to 100% in all countries led to an important increase in the pharmaceutical budget. Forecasting pharmaceutical expenditure is a critical exercise to inform policy decision makers. The most important leverages identified by the model on pharmaceutical budget were driven by generic and biosimilar prices, penetration rate, and distribution. Reducing, even slightly, the prices of generics had a major impact on savings. However, very aggressive pricing of generic and biosimilar products might make this market unattractive and can be counterproductive. Worth noting, delaying time to access innovative products was also identified as an effective leverage to increase savings but might not be a desirable policy for breakthrough products. Increasing patient financial contributions, either directly or indirectly via their private insurances, is a more likely scenario rather than expanding the national pharmaceutical expenditure coverage.
Pharmaceutical expenditure forecast model to support health policy decision making
Rémuzat, Cécile; Urbinati, Duccio; Kornfeld, Åsa; Vataire, Anne-Lise; Cetinsoy, Laurent; Aballéa, Samuel; Mzoughi, Olfa; Toumi, Mondher
2014-01-01
Background and objective With constant incentives for healthcare payers to contain their pharmaceutical budgets, modelling policy decision impact became critical. The objective of this project was to test the impact of various policy decisions on pharmaceutical budget (developed for the European Commission for the project ‘European Union (EU) Pharmaceutical expenditure forecast’ – http://ec.europa.eu/health/healthcare/key_documents/index_en.htm). Methods A model was built to assess policy scenarios’ impact on the pharmaceutical budgets of seven member states of the EU, namely France, Germany, Greece, Hungary, Poland, Portugal, and the United Kingdom. The following scenarios were tested: expanding the UK policies to EU, changing time to market access, modifying generic price and penetration, shifting the distribution chain of biosimilars (retail/hospital). Results Applying the UK policy resulted in dramatic savings for Germany (10 times the base case forecast) and substantial additional savings for France and Portugal (2 and 4 times the base case forecast, respectively). Delaying time to market was found be to a very powerful tool to reduce pharmaceutical expenditure. Applying the EU transparency directive (6-month process for pricing and reimbursement) increased pharmaceutical expenditure for all countries (from 1.1 to 4 times the base case forecast), except in Germany (additional savings). Decreasing the price of generics and boosting the penetration rate, as well as shifting distribution of biosimilars through hospital chain were also key methods to reduce pharmaceutical expenditure. Change in the level of reimbursement rate to 100% in all countries led to an important increase in the pharmaceutical budget. Conclusions Forecasting pharmaceutical expenditure is a critical exercise to inform policy decision makers. The most important leverages identified by the model on pharmaceutical budget were driven by generic and biosimilar prices, penetration rate, and distribution. Reducing, even slightly, the prices of generics had a major impact on savings. However, very aggressive pricing of generic and biosimilar products might make this market unattractive and can be counterproductive. Worth noting, delaying time to access innovative products was also identified as an effective leverage to increase savings but might not be a desirable policy for breakthrough products. Increasing patient financial contributions, either directly or indirectly via their private insurances, is a more likely scenario rather than expanding the national pharmaceutical expenditure coverage. PMID:27226830
Carnero, María Carmen; Gómez, Andrés
2016-04-23
Healthcare organizations have far greater maintenance needs for their medical equipment than other organization, as many are used directly with patients. However, the literature on asset management in healthcare organizations is very limited. The aim of this research is to provide more rational application of maintenance policies, leading to an increase in quality of care. This article describes a multicriteria decision-making approach which integrates Markov chains with the multicriteria Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH), to facilitate the best choice of combination of maintenance policies by using the judgements of a multi-disciplinary decision group. The proposed approach takes into account the level of acceptance that a given alternative would have among professionals. It also takes into account criteria related to cost, quality of care and impact of care cover. This multicriteria approach is applied to four dialysis subsystems: patients infected with hepatitis C, infected with hepatitis B, acute and chronic; in all cases, the maintenance strategy obtained consists of applying corrective and preventive maintenance plus two reserve machines. The added value in decision-making practices from this research comes from: (i) integrating the use of Markov chains to obtain the alternatives to be assessed by a multicriteria methodology; (ii) proposing the use of MACBETH to make rational decisions on asset management in healthcare organizations; (iii) applying the multicriteria approach to select a set or combination of maintenance policies in four dialysis subsystems of a health care organization. In the multicriteria decision making approach proposed, economic criteria have been used, related to the quality of care which is desired for patients (availability), and the acceptance that each alternative would have considering the maintenance and healthcare resources which exist in the organization, with the inclusion of a decision-making group. This approach is better suited to actual health care organization practice and depending on the subsystem analysed, improvements are introduced that are not included in normal maintenance policies; in this way, not only have different maintenance policies been suggested, but also alternatives that, in each case and according to viability, provide a more complete decision tool for the maintenance manager.
Navigating the science-policy spectrum: Opportunities to work on policies related to your research
NASA Astrophysics Data System (ADS)
Licker, R.; Ekwurzel, B.; Goldman, G. T.; DeLonge, M. S.
2017-12-01
Many scientists conduct research with direct policy relevance, whether it be producing sea-level projections that are taken-up by local decision-makers, or developing new agricultural technologies. All scientists are affected by policies made by their respective local, regional, and federal governments. For example, budgets affect the grant resources available to conduct research and policies on visas influence the accessibility of new positions for foreign scientists. As a result, many scientists would like to engage with the policy domain, and either bring their science to bear on new policies that are in the works (science-for-policy) or inform policies on the scientific research enterprise (policy-for-science). Some scientists prefer to engage and be neutral to the policy outcome, serving primarily as an information resource. Many may choose to also advocate for a particular outcome based on their expertise and experience. Research shows that policy decisions benefit greatly from the input of scientific experts. We explore the spectrum between informing policies in a "non-prescriptive" manner to working on policies in an advocacy space. We highlight tips for successful engagement along this spectrum. Finally, we review current science-for-policy and policy-for-science issues of relevance to the geophysical sciences.
ECOLOGICAL MODEL TESTING: VERIFICATION, VALIDATION OR NEITHER?
Consider the need to make a management decision about a declining animal population. Two models are available to help. Before a decision is made based on model results, the astute manager or policy maker may ask, "Do the models work?" Or, "Have the models been verified or validat...
41 CFR 60-741.44 - Required contents of affirmative action programs.
Code of Federal Regulations, 2010 CFR
2010-07-01
... individuals with disabilities. (7) The contractor, in making hiring decisions, should consider applicants with... employment decisions are based only on valid job requirements. The policy shall state that employees and.... Individuals with disabilities should be made available for participation in career days, youth motivation...
Designing Dynamic Adaptive Policy Pathways using Many-Objective Robust Decision Making
NASA Astrophysics Data System (ADS)
Kwakkel, Jan; Haasnoot, Marjolijn
2017-04-01
Dealing with climate risks in water management requires confronting a wide variety of deeply uncertain factors, while navigating a many dimensional space of trade-offs amongst objectives. There is an emerging body of literature on supporting this type of decision problem, under the label of decision making under deep uncertainty. Two approaches within this literature are Many-Objective Robust Decision Making, and Dynamic Adaptive Policy Pathways. In recent work, these approaches have been compared. One of the main conclusions of this comparison was that they are highly complementary. Many-Objective Robust Decision Making is a model based decision support approach, while Dynamic Adaptive Policy Pathways is primarily a conceptual framework for the design of flexible strategies that can be adapted over time in response to how the future is actually unfolding. In this research we explore this complementarity in more detail. Specifically, we demonstrate how Many-Objective Robust Decision Making can be used to design adaptation pathways. We demonstrate this combined approach using a water management problem, in the Netherlands. The water level of Lake IJselmeer, the main fresh water resource of the Netherlands, is currently managed through discharge by gravity. Due to climate change, this won't be possible in the future, unless water levels are changed. Changing the water level has undesirable flood risk and spatial planning consequences. The challenge is to find promising adaptation pathways that balance objectives related to fresh water supply, flood risk, and spatial issues, while accounting for uncertain climatic and land use change. We conclude that the combination of Many-Objective Robust Decision Making and Dynamic Adaptive Policy Pathways is particularly suited for dealing with deeply uncertain climate risks.
School Boards as Policy-Makers.
ERIC Educational Resources Information Center
Coleman, Peter
Decision-making in general and policy decisions in particular are the prime responsibility of school boards because policies are control mechanisms by which trustees assert local control. Policy decisions differ from others in their concern with values and purposes and the legitimization of the organization to society at large. Additionally, they…
Survey of Argentine Health Researchers on the Use of Evidence in Policymaking
Corluka, Adrijana; Hyder, Adnan A.; Segura, Elsa; Winch, Peter; McLean, Robert K. D.
2015-01-01
Objective In this study, Argentine health researchers were surveyed regarding their perceptions of facilitators and barriers to evidence-based policymaking in Argentina, as well as their publication activities, and research environment satisfaction. Methods A self-administered online survey was sent to health researchers in Argentina. The survey questions were based on a preceding qualitative study of Argentine health researchers, as well as the scientific literature. Results Of the 647 researchers that were reached, 226 accessed the survey, for a response rate of 34.9%. Over 80% of researchers surveyed had never been involved in or contributed to decision-making, while over 90% of researchers indicated they would like to be involved in the decision-making process. Decision-maker self-interest was perceived to be the driving factor in the development of health and healthcare policies. Research conducted by a research leader was seen to be the most influential factor in influencing health policy, followed by policy relevance of the research. With respect to their occupational environment, researchers rated highest and most favourably the opportunities available to present, discuss and publish research results and their ability to further their education and training. Argentine researchers surveyed demonstrated a strong interest and willingness to contribute their work and expertise to inform Argentine health policy development. Conclusion Despite Argentina’s long scientific tradition, there are relatively few institutionalized linkages between health research results and health policymaking. Based on the results of this study, the disconnect between political decision-making and the health research system, coupled with fewer opportunities for formalized or informal researcher/decision-maker interaction, contribute to the challenges in evidence informing health policymaking in Argentina. Improving personal contact and the building of relationships between researchers and policymakers in Argentina will require taking into account researcher perceptions of policymakers, as highlighted in this study. PMID:25928292
Brogan, Paula; Hasson, Felicity; McIlfatrick, Sonja
2018-01-01
Globally recommended in healthcare policy, Shared Decision-Making is also central to international policy promoting community palliative care. Yet realities of implementation by multi-disciplinary healthcare professionals who provide end-of-life care in the home are unclear. To explore multi-disciplinary healthcare professionals' perceptions and experiences of Shared Decision-Making at end of life in the home. Qualitative design using focus groups, transcribed verbatim and analysed thematically. A total of 43 participants, from multi-disciplinary community-based services in one region of the United Kingdom, were recruited. While the rhetoric of Shared Decision-Making was recognised, its implementation was impacted by several interconnecting factors, including (1) conceptual confusion regarding Shared Decision-Making, (2) uncertainty in the process and (3) organisational factors which impeded Shared Decision-Making. Multiple interacting factors influence implementation of Shared Decision-Making by professionals working in complex community settings at the end of life. Moving from rhetoric to reality requires future work exploring the realities of Shared Decision-Making practice at individual, process and systems levels.
Tesfazghi, Kemi; Hill, Jenny; Jones, Caroline; Ranson, Hilary; Worrall, Eve
2016-02-01
New vector control tools are needed to combat insecticide resistance and reduce malaria transmission. The World Health Organization (WHO) endorses larviciding as a supplementary vector control intervention using larvicides recommended by the WHO Pesticides Evaluation Scheme (WHOPES). The decision to scale-up larviciding in Nigeria provided an opportunity to investigate the factors influencing policy adoption and assess the role that actors and evidence play in the policymaking process, in order to draw lessons that help accelerate the uptake of new methods for vector control. A retrospective policy analysis was carried out using in-depth interviews with national level policy stakeholders to establish normative national vector control policy or strategy decision-making processes and compare these with the process that led to the decision to scale-up larviciding. The interviews were transcribed, then coded and analyzed using NVivo10. Data were coded according to pre-defined themes from an analytical policy framework developed a priori. Stakeholders reported that the larviciding decision-making process deviated from the normative vector control decision-making process. National malaria policy is normally strongly influenced by WHO recommendations, but the potential of larviciding to contribute to national economic development objectives through larvicide production in Nigeria was cited as a key factor shaping the decision. The larviciding decision involved a restricted range of policy actors, and notably excluded actors that usually play advisory, consultative and evidence generation roles. Powerful actors limited the access of some actors to the policy processes and content. This may have limited the influence of scientific evidence in this policy decision. This study demonstrates that national vector control policy change can be facilitated by linking malaria control objectives to wider socioeconomic considerations and through engaging powerful policy champions to drive policy change and thereby accelerate access to new vector control tools. © The Author 2015. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.
Need for multicriteria evaluation of generic drug policies.
Kaló, Zoltán; Holtorf, Anke-Peggy; Alfonso-Cristancho, Rafael; Shen, Jie; Ágh, Tamás; Inotai, András; Brixner, Diana
2015-03-01
Policymakers tend to focus on improving patented drug policies because they are under pressure from patients, physicians, and manufacturers to increase access to novel therapies. The success of pharmaceutical innovation over the last few decades has led to the availability of many off-patent drugs to treat disease areas with the greatest public health need. Therefore, the success of public health programs in improving the health status of the total population is highly dependent on the efficiency of generic drug policies. The objective of this article was to explore factors influencing the true efficiency of generic prescription drug policies in supporting public health initiatives in the developed world. Health care decision makers often assess the efficiency of generic drug policies by the level of price erosion and market share of generics. Drug quality, bioequivalence, in some cases drug formulations, supply reliability, medical adherence and persistence, health outcomes, and nondrug costs, however, are also attributes of success for generic drug policies. Further methodological research is needed to measure and improve the efficiency of generic drug policies. This also requires extension of the evidence base of the impact of generic drugs, partly based on real-world evidence. Multicriteria decision analysis may assist policymakers and researchers to evaluate the true value of generic drugs. Copyright © 2015. Published by Elsevier Inc.
mobilityRERC state of the science: How science influences public policy in seating and mobility.
Hostak, Rita S; Edwards, Doran; Sprigle, Stephen
2013-11-01
In the United States (US), wheeled mobility and seating equipment is classified as Durable Medical Equipment (DME). DME includes a wide array of devices including canes, walkers, home oxygen equipment, hospital beds, and wheelchairs. Seating and mobility devices reflect a wide range of DME, from relatively simple standard manual wheelchairs and cushions to highly complex manual and power wheelchairs and custom seating systems. This wide range of complexity results in a wide range of policies that govern the provision of seating and mobility equipment. This article results from a presentation during the Wheeled Mobility Rehabilitation Engineering Research Center's (RERC's) State of the Science Conference in 2012. The presentation was designed to proffer key concepts related to coverage policies and policy decision-making. Topics covered include an introduction to key policy issues impacting seating and mobility equipment, a description of the barriers that prevent or hinder research being used to inform coverage policy decisions, discussion of the challenges surrounding evidence-based policy decisions regarding seating and mobility, and suggestions of strategies for including policy makers and other stakeholders in setting research priorities and in reporting research findings. In the United States, wheeled mobility and seating equipment are classified as Durable Medical Equipments which are governed by a wide range of policies. Researchers should be encouraged to supplement research articles with articles that explicitly address clinical and policy implications of the work. Policy-makers should be encouraged to engage researchers to insure the breadth of knowledge and evidence is represented and understood.
Agent-Based Modeling of Chronic Diseases: A Narrative Review and Future Research Directions
Lawley, Mark A.; Siscovick, David S.; Zhang, Donglan; Pagán, José A.
2016-01-01
The United States is experiencing an epidemic of chronic disease. As the US population ages, health care providers and policy makers urgently need decision models that provide systematic, credible prediction regarding the prevention and treatment of chronic diseases to improve population health management and medical decision-making. Agent-based modeling is a promising systems science approach that can model complex interactions and processes related to chronic health conditions, such as adaptive behaviors, feedback loops, and contextual effects. This article introduces agent-based modeling by providing a narrative review of agent-based models of chronic disease and identifying the characteristics of various chronic health conditions that must be taken into account to build effective clinical- and policy-relevant models. We also identify barriers to adopting agent-based models to study chronic diseases. Finally, we discuss future research directions of agent-based modeling applied to problems related to specific chronic health conditions. PMID:27236380
Agent-Based Modeling of Chronic Diseases: A Narrative Review and Future Research Directions.
Li, Yan; Lawley, Mark A; Siscovick, David S; Zhang, Donglan; Pagán, José A
2016-05-26
The United States is experiencing an epidemic of chronic disease. As the US population ages, health care providers and policy makers urgently need decision models that provide systematic, credible prediction regarding the prevention and treatment of chronic diseases to improve population health management and medical decision-making. Agent-based modeling is a promising systems science approach that can model complex interactions and processes related to chronic health conditions, such as adaptive behaviors, feedback loops, and contextual effects. This article introduces agent-based modeling by providing a narrative review of agent-based models of chronic disease and identifying the characteristics of various chronic health conditions that must be taken into account to build effective clinical- and policy-relevant models. We also identify barriers to adopting agent-based models to study chronic diseases. Finally, we discuss future research directions of agent-based modeling applied to problems related to specific chronic health conditions.
GOING DUTCH WHY THE DUTCH DO NOT SPEND 2% GDP ON DEFENSE
2017-04-06
considers four major changes in the external environment that influence coalition decision- making . Combined with the party programs and the Advocation...benefit their constituents, rather than make unfavorable decisions to heighten the Defense budget. Additionally, this paper will predict that based...explains the dynamics in coalition decision- making and has three major elements; the policy subsystem, advocacy coalitions that act within the
The research-policy-deliberation nexus: a case study approach.
La Brooy, Camille; Kelaher, Margaret
2017-09-02
Decision-makers tend to make connections with researchers far too late in the game of public policy, expecting to find a retail store in which researchers are busy filling shop-front shelves with a comprehensive set of all possible relevant studies that a decision-maker might some day drop by to purchase. This linear type of relation between research and policy needs to be replaced by a more interactive model that facilitates both researchers obtaining a better understanding of policy processes and policymakers being more aware and involved in the conceptualisation and conduct of research. This paper explores the role of governance in facilitating the research-policy nexus, testing a typology of research utilisation based on Murray's (Soc Policy Society 10(4):459-70, 2011) analysis that considers various degrees of researcher-policymaker deliberation in decision-making processes. The projects were all part of various evaluation efforts carried out by the researchers to explore the use of governance in health promotion activities. Three case studies were chosen to provide some specific examples that illustrate each level of Murray's typology. The examples involve intersectoral health promotion collaborations that combine evidence-based research in health policy initiatives with various levels of researcher involvement. For all three projects, interview data was collated in the same way, coded thematically and analysed to consider the relationship between researchers and policymakers. Comparing the three models and their applicability to health promotion interventions, it could be observed that all programmes demonstrated successful examples of research translation. Strong governance imperatives structuring relationships led to more successful outcomes, whereby research was successfully translated into a public policy initiative that also led to improved health outcomes. The key idea across all of these models was that strong governance arrangements mitigated some of the barriers evidenced by the varying degrees of deliberation and researcher involvement in processes. The paper demonstrates that successful research utilisation is related to strong governance agendas and that early and ongoing involvement of relevant decision-makers and researchers in the governance processes, that is both the conceptualisation and conduct of a study, tend to be the best predictors of success.
NASA Astrophysics Data System (ADS)
Cheng, Fen; Hu, Wanxin
2017-05-01
Based on analysis of the impact of the experience of parking policy at home and abroad, design the impact analysis process of parking strategy. First, using group decision theory to create a parking strategy index system and calculate its weight. Index system includes government, parking operators and travelers. Then, use a multi-level extension theory to analyze the CBD parking strategy. Assess the parking strategy by calculating the correlation of each indicator. Finally, assess the strategy of parking charges through a case. Provide a scientific and reasonable basis for assessing parking strategy. The results showed that the model can effectively analyze multi-target, multi-property parking policy evaluation.
EBM, HTA, and CER: clearing the confusion.
Luce, Bryan R; Drummond, Michael; Jönsson, Bengt; Neumann, Peter J; Schwartz, J Sanford; Siebert, Uwe; Sullivan, Sean D
2010-06-01
The terms evidence-based medicine (EBM), health technology assessment (HTA), comparative effectiveness research (CER), and other related terms lack clarity and so could lead to miscommunication, confusion, and poor decision making. The objective of this article is to clarify their definitions and the relationships among key terms and concepts. This article used the relevant methods and policy literature as well as the websites of organizations engaged in evidence-based activities to develop a framework to explain the relationships among the terms EBM, HTA, and CER. This article proposes an organizing framework and presents a graphic demonstrating the differences and relationships among these terms and concepts. More specific terminology and concepts are necessary for an informed and clear public policy debate. They are even more important to inform decision making at all levels and to engender more accountability by the organizations and individuals responsible for these decisions.
NASA Astrophysics Data System (ADS)
Brennan-Tonetta, Margaret
This dissertation seeks to provide key information and a decision support tool that states can use to support long-term goals of fossil fuel displacement and greenhouse gas reductions. The research yields three outcomes: (1) A methodology that allows for a comprehensive and consistent inventory and assessment of bioenergy feedstocks in terms of type, quantity, and energy potential. Development of a standardized methodology for consistent inventorying of biomass resources fosters research and business development of promising technologies that are compatible with the state's biomass resource base. (2) A unique interactive decision support tool that allows for systematic bioenergy analysis and evaluation of policy alternatives through the generation of biomass inventory and energy potential data for a wide variety of feedstocks and applicable technologies, using New Jersey as a case study. Development of a database that can assess the major components of a bioenergy system in one tool allows for easy evaluation of technology, feedstock and policy options. The methodology and decision support tool is applicable to other states and regions (with location specific modifications), thus contributing to the achievement of state and federal goals of renewable energy utilization. (3) Development of policy recommendations based on the results of the decision support tool that will help to guide New Jersey into a sustainable renewable energy future. The database developed in this research represents the first ever assessment of bioenergy potential for New Jersey. It can serve as a foundation for future research and modifications that could increase its power as a more robust policy analysis tool. As such, the current database is not able to perform analysis of tradeoffs across broad policy objectives such as economic development vs. CO2 emissions, or energy independence vs. source reduction of solid waste. Instead, it operates one level below that with comparisons of kWh or GGE generated by different feedstock/technology combinations at the state and county level. Modification of the model to incorporate factors that will enable the analysis of broader energy policy issues as those mentioned above, are recommended for future research efforts.
SCIENCE, SCIENTISTS, AND POLICY ADVOCACY
To effectively resolve many current ecological policy issues, decision-makers require an array of scientific information. Sometimes scientific information is summarized for decision-makers by policy analysts or others, but often it comes directly from scientists to decision-maker...
ERIC Educational Resources Information Center
Groombridge, Brian
2008-01-01
Foresight reports are meant to help "decision-makers" understand the possible future effects of their decisions. "Visions of the future", based on "robust science", should be used by policymakers "to inform government policy and strategy, and to improve how science and technology are used within government and by society". They are also intended…
Currently, many policy and management decisions are made without considering the goods and services humans derive from ecosystems and the costs associated with protecting them. This approach is unlikely to be sustainable. Conceptual frameworks provide a tool for capturing, visual...
ERIC Educational Resources Information Center
Coburn, Cynthia E.; Toure, Judith; Yamashita, Mika
2009-01-01
Background/Context: Calls for evidence-based decision making have become increasingly prominent on the educational landscape. School district central offices increasingly experience these demands. Yet there are few empirical studies of evidence use at the district level. Furthermore, research on evidence use among policy makers in noneducation…
Group Participation and Satisfaction: Results from a PBL Computer-Supported Module
ERIC Educational Resources Information Center
Ochoa, Theresa A.; Gottschall, Holly; Stuart, Shannon K.
2004-01-01
Special education policy requires schools to make disciplinary decisions concerning students with disabilities within a multidisciplinary team. In order to respond to this mandate, teacher educators must ensure that teachers have group collaboration and decision making skills. This article describes a multimedia problem-based learning module…
41 CFR 60-250.44 - Required contents of affirmative action programs.
Code of Federal Regulations, 2010 CFR
2010-07-01
... veterans. (8) The contractor, in making hiring decisions, should consider applicants who are known special... decisions are based only on valid job requirements. The policy shall state that employees and applicants... career days, youth motivation programs, and related activities in their communities. (6) The contractor...
41 CFR 60-300.44 - Required contents of affirmative action programs.
Code of Federal Regulations, 2010 CFR
2010-07-01
... medal veterans. (8) The contractor, in making hiring decisions, should consider applicants who are known... decisions are based only on valid job requirements. The policy shall state that employees and applicants... participation in career days, youth motivation programs, and related activities in their communities. (6) The...
The Rise of Political Interference in Science Policy
NASA Astrophysics Data System (ADS)
Carter, J. M.; Goldman, G. T.; Barry, J.
2017-12-01
The United States federal government has long relied on independent science to inform policy decisions that impact public health and safety, and the environment. Yet, losses of scientific integrity in federal decisionmaking have persisted, politicizing science and undermining science-based public health protections the government is charged with overseeing. However, politicization of science has accelerated in recent months. Focusing on a series of recent case studies, we investigated different tactics used by political actors to undermine the use of independent science in the policy making process. In this talk, we will highlight and discuss many of these tactics used in the current political era including the delay of science-based decisions, disbanding scientific advisory boards, and the dismissal of scientific evidence. Additionally, this talk will be followed by a discussion of what we might expect for federal scientific integrity in the next few years.
Addressing the Challenges in Tonsillectomy Research to Inform Health Care Policy: A Review.
Mandavia, Rishi; Schilder, Anne G M; Dimitriadis, Panagiotis A; Mossialos, Elias
2017-09-01
Eighty-five percent of investment in medical research has been wasted, with lack of effect on clinical practice and policy. There is increasing effort to improve the likelihood of research being used to influence clinical practice and policy. Tonsillectomy is one of the most common otorhinolaryngologic surgical procedures, and its frequency, cost, and morbidity create a clear need for evidence-based guidelines and policy. The first systematic review on tonsillectomy was conducted 40 years ago and highlighted the lack of definitive evidence for the procedure. Since that study, the body of evidence has still not been able to sufficiently inform policy. This review provides an overview of the key challenges in research to inform tonsillectomy policy and recommendations to help bridge the evidence-policy gap. The challenges in using research to inform policy can be summarized as 4 main themes: (1) non-policy-focused evidence and lack of available evidence, (2) quality of evidence, (3) communication of research findings, and (4) coordinating time frames. Researchers and decision makers should be aware of the limitations of research designs and conflicts of interest that can undermine policy decisions. Researchers must work with decision makers and patients throughout the research process to identify areas of unmet need and political priority, align research and policy time frames, and disseminate research findings. Incentives for researchers should be reorganized to promote dissemination of findings. It is important to consider why evidence gaps in tonsillectomy research have not been addressed during the past 40 years despite considerable investment in time and resources. These findings and recommendations will help produce research that is more responsive to policy gaps and more likely to result in policy changes.
ERIC Educational Resources Information Center
De Broucker, Patrice, Ed.; Sweetman, Arthur, Ed.
This book is a collection of 19 essays that broadly treat the use of evidence in informing educational policy and practice in Canada: (1) "Knowledge and Action in Educational Policy and Politics" (Benjamin Levin); (2) "Data, Data Everywhere (and We Don't Know What to Do): Using Data for Wise Decisions in Schools" (Lorna M.…
NASA Astrophysics Data System (ADS)
Webber, S.; MacDonald, G. M.
2016-12-01
The last decades have seen scholars argue for a greater integration of science and decision-making in order to more effectively respond to climate change. It has been suggested that overcoming the gap between science, on the one hand, and policy-making and management, on the other, requires building bridges through methods of co-production, creating actionable science, or through boundary organizations. In this paper, we review attempts at co-production for policy-making and management in the context of climate change adaptation in California. Building on field research, including numerous interviews conducted with scientists and decision-makers who are co-producers of adaptation projects, we make three arguments. First, we show that an emphasis on co-production and science-informed climate change adaptation decision-making has bolstered a contract-oriented, and decentralized network-based model of producing climate science. Second, reviewing successes and failures in co-production - as reported in interviews - indicates that it is principally in cases of neatly defined, and spatially and temporarily narrow decision-making contexts, and with highly motivated decision-makers, that climate science is used. Finally, we suggest that the ideas of co-production and actionable science may have increased the institutional and organizational burden at the science-decision interface, lengthening the boundary-organization-chain rather than necessarily facilitating adaptive policy-making and management.
Medical and pharmacy coverage decision making at the population level.
Mohr, Penny E; Tunis, Sean R
2014-06-01
Medicare is one of the largest health care payers in the United States. As a result, its decisions about coverage have profound implications for patient access to care. In this commentary, the authors describe how Medicare used evidence on heterogeneity of treatment effects to make population-based decisions on health care coverage for implantable cardiac defibrillators. This case is discussed in the context of the rapidly expanding availability of comparative effectiveness research. While there is a potential tension between population-based and patient-centered decision making, the expanded diversity of populations and settings included in comparative effectiveness research can provide useful information for making more discerning and informed policy and clinical decisions.
ERIC Educational Resources Information Center
Shapira-Lishchinsky, Orly; Gilat, Israel Z.
2015-01-01
The aim of the study is to investigate whether there are discrepancies between teachers' perceptions of the "official policies" and their "tendency to act," based on their ethical decision-making. A qualitative analysis of 60 Israeli teachers' questionnaires consisting of critical ethical incidents revealed multifaceted ethical…
Minding Their Business: What Employers Look for in School-to-Career Programs.
ERIC Educational Resources Information Center
Kazis, Richard
1999-01-01
Besides providing work experiences, employers can help educators improve student performance by influencing public-policy decisions and changing their own employment policies. Employers' reasons for participating in work-based-learning programs include philanthropic interest, particular labor needs, and desire to improve a community's labor…
Upton, Jane; Fletcher, Monica; Madoc‐Sutton, Hazel; Sheikh, Aziz; Caress, Ann‐Louise; Walker, Samantha
2011-01-01
Abstract Background Although patients with asthma would like more involvement in the decision‐making process, and UK government policy concerning chronic conditions supports shared decision making, it is not widely used in practice. Objective To investigate how nurses approach decision making in relation to inhaler choice and long‐term inhaler use within a routine asthma consultation and to better understand the barriers and facilitators to shared decision making in practice. Setting and participants Semi‐structured interviews were conducted with post‐registration, qualified nurses who routinely undertook asthma consultations and were registered on a respiratory course. Interviews were recorded, transcribed and analysed using the Framework approach. Results Twenty participants were interviewed. Despite holding positive views about shared decision making, limited shared decision making was reported. Opportunities for patients to share decisions were only offered in relation to inhaler device, which were based on the nurse’s pre‐selected recommendations. Giving patients this ‘choice’ was seen as key to improving adherence. Discussion There is a discrepancy between nurses’ understanding of shared decision making and the depictions of shared decision making presented in the academic literature and NHS policy. In this study, shared decision making was used as a tool to support the nurses’ agenda, rather than as a natural expression of equality between the nurse and patient. Conclusion There is a misalignment between the goals of practice nurses and the rhetoric regarding patient empowerment. Shared decision making may therefore only be embraced if it improves patient outcomes. This study indicates attitudinal shifts and improvements in knowledge of ‘shared decision‐making’ are needed if policy dictates are to be realised. PMID:21323822
Zida, Andre; Lavis, John N; Sewankambo, Nelson K; Kouyate, Bocar; Moat, Kaelan; Shearer, Jessica
2017-02-13
Burkina Faso has made a number of health system policy decisions to improve performance on health indicators and strengthen responsiveness to health-related challenges. These included the creation of a General Directorate of Health Information and Statistics (DGISS) and a technical unit to coordinate performance-based financing (CT-FBR). We analysed the policymaking processes associated with the establishment of these units, and documented the factors that influenced this process. We used a multiple-case study design based on Kingdon's agenda-setting model to investigate the DGISS and CT-FBR policymaking processes. Data were collected from interviews with key informants (n = 28), published literature, policy documents (including two strategic and 230 action plans), and 55 legal/regulatory texts. Interviews were analysed using thematic qualitative analysis. Data from the documentary analysis were triangulated with the qualitative interview data. Key factors influencing the policymaking processes associated with the two units involved the 'problem' (problem identification), 'policy' (formation of policy proposals), and 'politics' (political climate/change) streams, which came together in a way that resulted in proposals being placed on the decision agenda. A number of problems with Burkina Faso's health information and financing systems were identified. Policy proposals for the DGISS and CT-FBR units were developed in response to these problems, emerging from several sources including development partners. Changes in political and public service administrations (specifically the 2008 appointment of a new Minister of Health and the establishment of a new budget allocation system), with corresponding changes in the actors and interests involved, appeared key in elevating the proposals to the decision agenda. Efforts to improve performance on health indicators and strengthen responsiveness to health-related challenges need focus on the need for a compelling problem, a viable policy, and conducive politics in order to make it to the decision agenda.
NASA Astrophysics Data System (ADS)
von Schneidemesser, E.; Schmale, J.; Van Aardenne, J.
2013-12-01
Air pollution and climate change are often treated at national and international level as separate problems under different regulatory or thematic frameworks and different policy departments. With air pollution and climate change being strongly linked with regard to their causes, effects and mitigation options, the integration of policies that steer air pollutant and greenhouse gas emission reductions might result in cost-efficient, more effective and thus more sustainable tackling of the two problems. To support informed decision making and to work towards an integrated air quality and climate change mitigation policy requires the identification, quantification and communication of present-day and potential future co-benefits and trade-offs. The identification of co-benefits and trade-offs requires the application of appropriate metrics that are well rooted in science, easy to understand and reflect the needs of policy, industry and the public for informed decision making. For the purpose of this workshop, metrics were loosely defined as a quantified measure of effect or impact used to inform decision-making and to evaluate mitigation measures. The workshop held on October 9 and 10 and co-organized between the European Environment Agency and the Institute for Advanced Sustainability Studies brought together representatives from science, policy, NGOs, and industry to discuss whether current available metrics are 'fit for purpose' or whether there is a need to develop alternative metrics or reassess the way current metrics are used and communicated. Based on the workshop outcome the presentation will (a) summarize the informational needs and current application of metrics by the end-users, who, depending on their field and area of operation might require health, policy, and/or economically relevant parameters at different scales, (b) provide an overview of the state of the science of currently used and newly developed metrics, and the scientific validity of these metrics, (c) identify gaps in the current information base, whether from the scientific development of metrics or their application by different users.
NASA Astrophysics Data System (ADS)
Hassanzadeh, Elmira; Elshorbagy, Amin; Wheater, Howard; Gober, Patricia
2015-04-01
Climate uncertainty can affect water resources availability and management decisions. Sustainable water resources management therefore requires evaluation of policy and management decisions under a wide range of possible future water supply conditions. This study proposes a risk-based framework to integrate water supply uncertainty into a forward-looking decision making context. To apply this framework, a stochastic reconstruction scheme is used to generate a large ensemble of flow series. For the Rocky Mountain basins considered here, two key characteristics of the annual hydrograph are its annual flow volume and the timing of the seasonal flood peak. These are perturbed to represent natural randomness and potential changes due to future climate. 30-year series of perturbed flows are used as input to the SWAMP model - an integrated water resources model that simulates regional water supply-demand system and estimates economic productivity of water and other sustainability indicators, including system vulnerability and resilience. The simulation results are used to construct 2D-maps of net revenue of a particular water sector; e.g., hydropower, or for all sectors combined. Each map cell represents a risk scenario of net revenue based on a particular annual flow volume, timing of the peak flow, and 200 stochastic realizations of flow series. This framework is demonstrated for a water resources system in the Saskatchewan River Basin (SaskRB) in Saskatchewan, Canada. Critical historical drought sequences, derived from tree-ring reconstructions of several hundred years of annual river flows, are used to evaluate the system's performance (net revenue risk) under extremely low flow conditions and also to locate them on the previously produced 2D risk maps. This simulation and analysis framework is repeated under various reservoir operation strategies (e.g., maximizing flood protection or maximizing water supply security); development proposals, such as irrigation expansion; and change in energy prices. Such risk-based analysis demonstrates relative reduction/increase of risk associated with management and policy decisions and allow decision makers to explore the relative importance of policy versus natural water supply change in a water resources system.
Capalbo, Susan M; Antle, John M; Seavert, Clark
2017-07-01
Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions. This paper presents a framework for the use of farm-level and landscape-scale models and data to provide analysis that could be used in NextGen knowledge products, such as mobile applications or personal computer data analysis and visualization software. We describe two analytical tools - AgBiz Logic and TOA-MD - that demonstrate the current capability of farmlevel and landscape-scale models. The use of these tools is explored with a case study of an oilseed crop, Camelina sativa , which could be used to produce jet aviation fuel. We conclude with a discussion of innovations needed to facilitate the use of farm and policy-level models to generate data and analysis for improved knowledge products.
I know why you voted for Trump: (Over)inferring motives based on choice.
Barasz, Kate; Kim, Tami; Evangelidis, Ioannis
2018-05-10
People often speculate about why others make the choices they do. This paper investigates how such inferences are formed as a function of what is chosen. Specifically, when observers encounter someone else's choice (e.g., of political candidate), they use the chosen option's attribute values (e.g., a candidate's specific stance on a policy issue) to infer the importance of that attribute (e.g., the policy issue) to the decision-maker. Consequently, when a chosen option has an attribute whose value is extreme (e.g., an extreme policy stance), observers infer-sometimes incorrectly-that this attribute disproportionately motivated the decision-maker's choice. Seven studies demonstrate how observers use an attribute's value to infer its weight-the value-weight heuristic-and identify the role of perceived diagnosticity: more extreme attribute values give observers the subjective sense that they know more about a decision-maker's preferences, and in turn, increase the attribute's perceived importance. The paper explores how this heuristic can produce erroneous inferences and influence broader beliefs about decision-makers. Copyright © 2018 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Auad, G.
2017-12-01
The translating of observational evidence for decision- and policy-making needs to be placed within the context of specific organizational structures to achieve efficient and effective natural resource management. To reach that stage, these structures would consistently integrate governance, decision-making, and legislative and policy elements that, as a whole, can be harmoniously coupled to the natural system under consideration, while being aligned toward a high level management goal. Examples will be highlighted where communication structures found in nature connect hierarchical and spatial scales and are the core of effective living and physical systems. Based on these concepts, a framework will be described while linkages and tradeoffs will be established among the different components of the socio-ecological system being addressed. The importance for decision- and policy-makers to define a continuous learning dynamics will be highlighted as a way to ensure enhanced (scientific and traditional) knowledge over time and therefore reduced uncertainty at decision moment. The need for an overarching management goal will be addressed while its underpinnings will be described and conceptually linked through different internal and external communication models.
NASA Astrophysics Data System (ADS)
Huda, J.; Kauneckis, D. L.
2013-12-01
Climate change adaptation represents a number of unique policy-making challenges. Foremost among these is dealing with the range of future climate impacts to a wide scope of inter-related natural systems, their interaction with social and economic systems, and uncertainty resulting from the variety of downscaled climate model scenarios and climate science projections. These cascades of uncertainty have led to a number of new approaches as well as a reexamination of traditional methods for evaluating risk and uncertainty in policy-making. Policy makers are required to make decisions and formulate policy irrespective of the level of uncertainty involved and while a debate continues regarding the level of scientific certainty required in order to make a decision, incremental change in the climate policy continues at multiple governance levels. This project conducts a comparative analysis of the range of methodological approaches that are evolving to address uncertainty in climate change policy. It defines 'methodologies' to include a variety of quantitative and qualitative approaches involving both top-down and bottom-up policy processes that attempt to enable policymakers to synthesize climate information into the policy process. The analysis examines methodological approaches to decision-making in climate policy based on criteria such as sources of policy choice information, sectors to which the methodology has been applied, sources from which climate projections were derived, quantitative and qualitative methods used to deal with uncertainty, and the benefits and limitations of each. A typology is developed to better categorize the variety of approaches and methods, examine the scope of policy activities they are best suited for, and highlight areas for future research and development.
Smart Grid as Multi-layer Interacting System for Complex Decision Makings
NASA Astrophysics Data System (ADS)
Bompard, Ettore; Han, Bei; Masera, Marcelo; Pons, Enrico
This chapter presents an approach to the analysis of Smart Grids based on a multi-layer representation of their technical, cyber, social and decision-making aspects, as well as the related environmental constraints. In the Smart Grid paradigm, self-interested active customers (prosumers), system operators and market players interact among themselves making use of an extensive cyber infrastructure. In addition, policy decision makers define regulations, incentives and constraints to drive the behavior of the competing operators and prosumers, with the objective of ensuring the global desired performance (e.g. system stability, fair prices). For these reasons, the policy decision making is more complicated than in traditional power systems, and needs proper modeling and simulation tools for assessing "in vitro" and ex-ante the possible impacts of the decisions assumed. In this chapter, we consider the smart grids as multi-layered interacting complex systems. The intricacy of the framework, characterized by several interacting layers, cannot be captured by closed-form mathematical models. Therefore, a new approach using Multi Agent Simulation is described. With case studies we provide some indications about how to develop agent-based simulation tools presenting some preliminary examples.
Reconciling justice and attribution research to advance climate policy
NASA Astrophysics Data System (ADS)
Huggel, Christian; Wallimann-Helmer, Ivo; Stone, Dáithí; Cramer, Wolfgang
2016-10-01
The Paris Climate Agreement is an important step for international climate policy, but the compensation for negative effects of climate change based on clear assignment of responsibilities remains highly debated. From both a policy and a science perspective, it is unclear how responsibilities should be defined and on what evidence base. We explore different normative principles of justice relevant to climate change impacts, and ask how different forms of causal evidence of impacts drawn from detection and attribution research could inform policy approaches in accordance with justice considerations. We reveal a procedural injustice based on the imbalance of observations and knowledge of impacts between developed and developing countries. This type of injustice needs to be considered in policy negotiations and decisions, and efforts strengthened to reduce it.
The process of changing national malaria treatment policy: lessons from country-level studies.
Williams, Holly Ann; Durrheim, David; Shretta, Rima
2004-11-01
Widespread resistance of Plasmodium falciparum parasites to commonly used antimalarials, such as chloroquine, has resulted in many endemic countries considering changing their malaria treatment policy. Identifying and understanding the key influences that affect decision-making, and factors that facilitate or undermine policy implementation, is critical for improving the policy process and guiding resource allocation during this process. A historical review of archival documents from Malaŵi and data obtained from in-depth policy studies in four countries (Tanzania, South Africa, Kenya and Peru) that have changed malaria treatment policy provides important lessons about decision-making, the policy cycle and complex policy environment, while specifically identifying strategies successfully employed to facilitate policy-making and implementation. Findings from these country-level studies indicate that the process of malaria drug policy review should be institutionalized in endemic countries and based on systematically collected data. Key stakeholders need to be identified early and engaged in the process, while improved communication is needed on all levels. Although malaria drug policy change is often perceived to be a daunting task, using these and other proven strategies should assist endemic countries to tackle this challenge in a systematic fashion that ensures the development and implementation of the rational malaria drug policy.
Bosco, Susan M
2002-12-01
Research on the career decision processes of women has focused primarily on internal considerations such as mathematical ability, intelligence, and self-esteem; however, the external environment also has an influence on these processes. To date, the environmental factors have primarily been researched separately, if at all. They include government policies, industry/economics, social trends/expected sex roles, and educational opportunities. This pilot study investigated these four external factors simultaneously. In addition, a survey of literature on career decision indicated such research to be based on a limited pool of highly educated, management/professional women. This study also uses a wider group including housewives, blue collar, and pink collar women.
[Nudge in prevention… an alternative approach or a dead end?].
Cambon, Linda
2016-01-01
Prevention policies need to be more effective. Practitioners and decision-makers therefore need to innovate in the field of prevention policies and interventions by adapting methods or strategies used in other domains. Nudges, considered to be an attractive technique in view of its efficacy, are one of these innovations.However, the use of nudges in prevention policies raises ethical debates which will be summarized in this article. After recalling the definition of nudging, this article describes the ethical debates concerning three issues and emphasizes the way they can reflect a beneficial, democratic, freedom-based and autonomous society.In conclusion, this article encourages prevention practitioners and decision-makers to adopt a larger view before transferring strategies from other sectors and especially to consider all ethical issues.
ERIC Educational Resources Information Center
Douglass, John Aubrey
2006-01-01
The convergence of US federal science and economic policy that began in earnest in the Reagan administration formed the first stage in an emerging post-Cold War drive toward technological innovation. A frenzy of new state-based initiatives now forms the Second Stage, further promoting universities as decisive tools for economic competitiveness.…
Modelling human decision-making in coupled human and natural systems
NASA Astrophysics Data System (ADS)
Feola, G.
2012-12-01
A solid understanding of human decision-making is essential to analyze the complexity of coupled human and natural systems (CHANS) and inform policies to promote resilience in the face of environmental change. Human decisions drive and/or mediate the interactions and feedbacks, and contribute to the heterogeneity and non-linearity that characterize CHANS. However, human decision-making is usually over-simplistically modeled, whereby human agents are represented deterministically either as dumb or clairvoyant decision-makers. Decision-making models fall short in the integration of both environmental and human behavioral drivers, and concerning the latter, tend to focus on only one category, e.g. economic, cultural, or psychological. Furthermore, these models render a linear decision-making process and therefore fail to account for the recursive co-evolutionary dynamics in CHANS. As a result, these models constitute only a weak basis for policy-making. There is therefore scope and an urgent need for better approaches to human decision-making, to produce the knowledge that can inform vulnerability reduction policies in the face of environmental change. This presentation synthesizes the current state-of-the-art of modelling human decision-making in CHANS, with particular reference to agricultural systems, and delineates how the above mentioned shortcomings can be overcome. Through examples from research on pesticide use and adaptation to climate change, both based on the integrative agent-centered framework (Feola and Binder, 2010), the approach for an improved understanding of human agents in CHANS are illustrated. This entails: integrative approach, focus on behavioral dynamics more than states, feedbacks between individual and system levels, and openness to heterogeneity.
The Need for Strategic Research and Study Centers (Think Tanks) in the Kingdom of Saudi Arabia
2014-03-01
technology issues , or industrial or business policies.27 Evidence-based research has become an indispensable tool for political decision making and...can be used to judge public sentiment on given issues . Government as well as private business gives due consideration during policy or strategy...policy guidance on modern issues like economic growth, resource allocation, job creation, unemployment reduction, financial management, legislation
Charles E. Peterson; David S. Shriner
2004-01-01
During the 1970s, there was growing concern by scientists, policy officials and the general public in the USA over the possible effects of acid rain on human health and the environment (crops, forests, water, etc.). The lack of science-based information needed for policy and regulatory decisions led Congress to create an interagency task force in 1980 called the...
Decision Network for Blue Green Solutions to Influence Policy Impact Assessments
NASA Astrophysics Data System (ADS)
Mijic, A.; Theodoropoulos, G.; El Hattab, M. H.; Brown, K.
2017-12-01
Sustainable Urban Drainage Systems (SuDS) deliver ecosystems services that can potentially yield multiple benefits to the urban environment. These benefits can be achieved through optimising SUDS' integration with the local environment and water resources, creating so-called Blue Green Solutions (BGS). The BGS paradigm, however, presents several challenges, in particular quantifying the benefits and creating the scientific evidence-base that can persuade high-level decision-makers and stakeholders to implement BGS at large scale. This work presents the development of the easily implemented and tailored-made approach that allows a robust assessment of the BGS co-benefits, and can influence the types of information that are included in policy impact assessments. The Analytic Network Process approach is used to synthesise the available evidence on the co-benefits of the BGS. The approach enables mapping the interactions between individual BGS selection criteria, and creates a platform to assess the synergetic benefits that arise from components interactions. By working with Government departments and other public and private sector stakeholders, this work has produced a simple decision criteria-based network that will enable the co-benefits and trade-offs of BGS to be quantified and integrated into UK policy appraisals.
A Multiple Streams analysis of the decisions to fund gender-neutral HPV vaccination in Canada.
Shapiro, Gilla K; Guichon, Juliet; Prue, Gillian; Perez, Samara; Rosberger, Zeev
2017-07-01
In Canada, the human papillomavirus (HPV) vaccine is licensed and recommended for females and males. Although all Canadian jurisdictions fund school-based HPV vaccine programs for girls, only six jurisdictions fund school-based HPV vaccination for boys. The research aimed to analyze the factors that underpin government decisions to fund HPV vaccine for boys using a theoretical policy model, Kingdon's Multiple Streams framework. This approach assesses policy development by examining three concurrent, but independent, streams that guide analysis: Problem Stream, Policy Stream, and Politics Stream. Analysis from the Problem Stream highlights that males are affected by HPV-related diseases and are involved in transmitting HPV infection to their sexual partners. Policy Stream analysis makes clear that while the inclusion of males in HPV vaccine programs is suitable, equitable, and acceptable; there is debate regarding cost-effectiveness. Politics Stream analysis identifies the perspectives of six different stakeholder groups and highlights the contribution of government officials at the provincial and territorial level. Kingdon's Multiple Streams framework helps clarify the opportunities and barriers for HPV vaccine policy change. This analysis identified that the interpretation of cost-effectiveness models and advocacy of stakeholders such as citizen-advocates and HPV-affected politicians have been particularly important in galvanizing policy change. Copyright © 2017 Elsevier Inc. All rights reserved.
A Closer Look: Teacher Evaluations and Tenure Decisions
ERIC Educational Resources Information Center
Thomsen, Jennifer
2014-01-01
Teacher performance, as measured by evaluations, is increasingly being considered by states in employment decisions, including the awarding of tenure--and the removal of that status, according to a 50-state policy review by the Education Commission of the States (ECS). This report, one of three based on ECS' 2014 review, identifies the states…
Health impact assessment, human rights and global public policy: a critical appraisal.
Scott-Samuel, Alex; O'Keefe, Eileen
2007-03-01
Public policy decisions in both the social and economic spheres have enormous impact on global public health. As a result of this, and of the skewed global distribution of power and resources, health impact assessment (HIA) potentially has a key role to play in foreign policy-making and global public policy-making. Governments, multilateral bodies and transnational corporations need to be held to account for the health impacts of their policies and practices. One route towards achieving this objective involves the inclusion of human rights assessments within HIA. International commitments to human rights instruments and standards can be used as a global auditing tool. Methodological issues may limit the effectiveness of HIA in promoting health equity. These issues include the use of procedures that favour those holding power in the policy process or the use of procedures that fail to apply values of equity and participation. The identification and production of evidence that includes the interests of less powerful groups is a priority for HIA and would be furthered if a human rights-based method of HIA were developed. Because HIA considers all types of policies and examines all potential determinants of health, it can play a part when foreign policy is developed and global decisions are made to treat people as rights holders. Since the human right to health is shaped by the determinants of health, developing links between the right to health assessment (that is, an assessment of the impact of policies on the right to health) and HIA--as recently proposed by the United Nations Special Rapporteur on the right to health--could strengthen the development of foreign policy and global decisions. Such links should be pursued and applied to the development of foreign policy and to the operation of multilateral bodies.
Resolving the tug-of-war between Medicare's national and local coverage.
Foote, Susan Bartlett; Wholey, Douglas; Rockwood, Todd; Halpern, Rachel
2004-01-01
Medicare's decentralized local coverage policy process leads to policy variation, raising serious equity and quality issues. The policy debate resembles a tug-of-war, with advocates favoring nationalization of all local policies or arguing for the status quo. We extensively analyzed thousands of local policies and surveyed Medicare's contractors. We found that all local policies are not the same. We classified them based on where they fall on the diffusion curve. The classification by type allows for reallocation to the national or local process to improve the decisions and satisfy Medicare's equity and quality goals.
Web-services-based spatial decision support system to facilitate nuclear waste siting
NASA Astrophysics Data System (ADS)
Huang, L. Xinglai; Sheng, Grant
2006-10-01
The availability of spatial web services enables data sharing among managers, decision and policy makers and other stakeholders in much simpler ways than before and subsequently has created completely new opportunities in the process of spatial decision making. Though generally designed for a certain problem domain, web-services-based spatial decision support systems (WSDSS) can provide a flexible problem-solving environment to explore the decision problem, understand and refine problem definition, and generate and evaluate multiple alternatives for decision. This paper presents a new framework for the development of a web-services-based spatial decision support system. The WSDSS is comprised of distributed web services that either have their own functions or provide different geospatial data and may reside in different computers and locations. WSDSS includes six key components, namely: database management system, catalog, analysis functions and models, GIS viewers and editors, report generators, and graphical user interfaces. In this study, the architecture of a web-services-based spatial decision support system to facilitate nuclear waste siting is described as an example. The theoretical, conceptual and methodological challenges and issues associated with developing web services-based spatial decision support system are described.
Promoting a Culture of Tailoring for Systems Engineering Policy Expectations
NASA Technical Reports Server (NTRS)
Blankenship, Van A.
2016-01-01
NASA's Marshall Space Flight Center (MSFC) has developed an integrated systems engineering approach to promote a culture of tailoring for program and project policy requirements. MSFC's culture encourages and supports tailoring, with an emphasis on risk-based decision making, for enhanced affordability and efficiency. MSFC's policy structure integrates the various Agency requirements into a single, streamlined implementation approach which serves as a "one-stop-shop" for our programs and projects to follow. The engineers gain an enhanced understanding of policy and technical expectations, as well as lesson's learned from MSFC's history of spaceflight and science missions, to enable them to make appropriate, risk-based tailoring recommendations. The tailoring approach utilizes a standard methodology to classify projects into predefined levels using selected mission and programmatic scaling factors related to risk tolerance. Policy requirements are then selectively applied and tailored, with appropriate rationale, and approved by the governing authorities, to support risk-informed decisions to achieve the desired cost and schedule efficiencies. The policy is further augmented by implementation tools and lifecycle planning aids which help promote and support the cultural shift toward more tailoring. The MSFC Customization Tool is an integrated spreadsheet that ties together everything that projects need to understand, navigate, and tailor the policy. It helps them classify their project, understand the intent of the requirements, determine their tailoring approach, and document the necessary governance approvals. It also helps them plan for and conduct technical reviews throughout the lifecycle. Policy tailoring is thus established as a normal part of project execution, with the tools provided to facilitate and enable the tailoring process. MSFC's approach to changing the culture emphasizes risk-based tailoring of policy to achieve increased flexibility, efficiency, and effectiveness in project execution, while maintaining appropriate rigor to ensure mission success.
Medical education, cost and policy: what are the drivers for change? Commentary.
Walsh, Kieran
2014-01-01
Medical education is expensive. Its expense has led many stakeholders to speculate on how costs could be reduced. In an ideal world such decisions would be made on sound evidence; however this is impossible in the absence of evidence. Sometimes practice will be informed by policy, but policy will not always be evidence based. So how is policy in the field of cost and value in medical education actually developed? The foremost influence on policy in cost and value should be evidence-based knowledge. Unfortunately policy is sometimes influenced by what might at best be termed tradition and at worst inertia. Another influence on policy will be people--but some individuals may have more influence than others. A further influence on policy in this field is events, and mainly events that have gone wrong. One final influence on emerging policy in medical education cost analysis is that of the media.
Psychology, psychologists, and public policy.
McKnight, Katherine M; Sechrest, Lee; McKnight, Patrick E
2005-01-01
Evidence-based policy is being encouraged in all areas of public service ( Black 2001 ). Unprecedented federal legislation reflects a faith in science "as a force for improved public policy" ( Feuer et al. 2002 ). The objective of evidence-based policy is to use scientific research to drive decision making. Thus, the link between social science research and public policy seems to be a natural one. The purpose of this chapter is to address how psychological science in general, and clinical psychology in particular, can be of use to public policy makers. We discuss how psychological science can be relevant and applicable to informing policy, and we describe the role clinical scientists might play in generating, disseminating, and implementing that information. We also note distinct limitations on the usefulness of psychological research in driving public policy. We discuss some pitfalls and recommend areas where clinical psychology might best serve public policy.
ERIC Educational Resources Information Center
Yore, Larry D.; Anderson, John O.; Chiu, Mei-Hung
2010-01-01
Evidence-based policies, decisions, and practices are highly valued and underachieved in the international mathematics and science education reforms. Many in the mathematics and science education research communities lament the lack of influence that research results have on the education profession, schools, and teaching. Academic research done…
Hunter-fisherman characteristics: factors in wildlife management and policy decisions
Robert S. Bond; James C. Whittaker
1971-01-01
Research on the characteristics and motivations of hunters and fishermen is examined for factors important to resource managers and policy-makers. Characteristics related to the learning experience, time for participation, utilization and accessibility of the resource base, and the type of fish and game harvested are considered. Motivational research, although in its...
Using Cost-Benefit Analysis to Understand the Value of Social Interventions
ERIC Educational Resources Information Center
Lee, Stephanie; Aos, Steve
2011-01-01
Since 1983, the Washington State Institute for Public Policy has conducted applied research as a nonpartisan agency of the state legislature. Over the years, discussions in the state have turned toward emphasizing "evidence-based" programs and policies in decision making, and research requests of the legislature have evolved to reflect…
Usefulness of Neuro-Fuzzy Models' Application for Tobacco Control
NASA Astrophysics Data System (ADS)
Petrovic-Lazarevic, Sonja; Zhang, Jian Ying
2007-12-01
The paper presents neuro-fuzzy models' application appropriate for tobacco control: the fuzzy control model, Adaptive Network Based Fuzzy Inference System, Evolving Fuzzy Neural Network models, and EVOlving POLicies. We propose further the use of Fuzzy Casual Networks to help tobacco control decision makers develop policies and measure their impact on social regulation.
Time as a Tool for Policy Analysis in Aging.
ERIC Educational Resources Information Center
Pastorello, Thomas
National policy makers have put forth different life cycle planning proposals for the more satisfying integration of education, work and leisure over the life course. This speech describes a decision making scheme, the Time Paradigm, for researched-based choice among various proposals. The scheme is defined in terms of a typology of time-related…
Characteristics of School Districts That Participate in Rigorous National Educational Evaluations
ERIC Educational Resources Information Center
Stuart, Elizabeth A.; Bell, Stephen H.; Ebnesajjad, Cyrus; Olsen, Robert B.; Orr, Larry L.
2017-01-01
Given increasing interest in evidence-based policy, there is growing attention to how well the results from rigorous program evaluations may inform policy decisions. However, little attention has been paid to documenting the characteristics of schools or districts that participate in rigorous educational evaluations, and how they compare to…
Implementing participatory decision making in forest planning.
Ananda, Jayanath
2007-04-01
Forest policy decisions are often a source of debate, conflict, and tension in many countries. The debate over forest land-use decisions often hinges on disagreements about societal values related to forest resource use. Disagreements on social value positions are fought out repeatedly at local, regional, national, and international levels at an enormous social cost. Forest policy problems have some inherent characteristics that make them more difficult to deal with. On the one hand, forest policy decisions involve uncertainty, long time scales, and complex natural systems and processes. On the other hand, such decisions encompass social, political, and cultural systems that are evolving in response to forces such as globalization. Until recently, forest policy was heavily influenced by the scientific community and various economic models of optimal resource use. However, growing environmental awareness and acceptance of participatory democracy models in policy formulation have forced the public authorities to introduce new participatory mechanisms to manage forest resources. Most often, the efforts to include the public in policy formulation can be described using the lower rungs of Arnstein's public participation typology. This paper presents an approach that incorporates stakeholder preferences into forest land-use policy using the Analytic Hierarchy Process (AHP). An illustrative case of regional forest-policy formulation in Australia is used to demonstrate the approach. It is contended that applying the AHP in the policy process could considerably enhance the transparency of participatory process and public acceptance of policy decisions.
Drug pricing and reimbursement decision making systems in Mongolia.
Dorj, Gereltuya; Sunderland, Bruce; Sanjjav, Tsetsegmaa; Dorj, Gantuya; Gendenragchaa, Byambatsogt
2017-01-01
It is essential to allocate available resources equitably in order to ensure accessibility and affordability of essential medicines, especially in less fortunate nations with limited health funding. Currently, transparent and evidence based research is required to evaluate decision making regarding drug registration, drug pricing and reimbursement processes in Mongolia. To assess the drug reimbursement system and discuss challenges faced by policy-makers and stakeholders. The study has examined Mongolian administrative documents and directives for stakeholders and analysed published statistics. Experts and decision-makers were interviewed about the drug pricing and reimbursement processes in Mongolia. Decisions regarding Mongolian drug registration were based on commonly used criteria of quality, safety, efficacy plus some economic considerations. A total of 11.32 billion Mongolian National Tugrugs (MNT) [5.6 million United States Dollars (USD)] or 12.1% of total health expenditure was spent on patient reimbursement of essential drugs. The highest reimbursed drugs with respect to cost in 2014 were the cardiovascular drug group. Health insurance is compulsory for all citizens; in addition all insured patients have access to reimbursed drugs. However, the decision making process, in particular the level of reimbursement was limited by various barriers, including lack of evidence based data regarding efficacy and comparative cost-effectiveness analysis of drugs and decisions regarding reimbursement. Drug registration, pricing and reimbursement process in Mongolia show an increasing trend of drug registration and reimbursement rates, along with lack of transparency. Limited available data indicate that more evidence-based research studies are required in Mongolia to evaluate and improve the effectiveness of drug pricing and reimbursement policies.
Code of Federal Regulations, 2010 CFR
2010-07-01
... certain claim settlement and advance decision functions that, by statute or delegation, are vested in the... SETTLING PERSONNEL AND GENERAL CLAIMS AND PROCESSING ADVANCE DECISION REQUESTS § 282.4 Policy. It is DoD policy that: (a) Claims shall be settled and advance decisions rendered in accordance with all pertinent...
Evidence-based medicine and patient choice: the case of heart failure care.
Sanders, Tom; Harrison, Stephen; Checkland, Kath
2008-04-01
The implementation of evidence-based medicine and policies aimed at increasing user involvement in health care decisions are central planks of contemporary English health policy. Yet they are potentially in conflict. Our aim was to explore how clinicians working in the field of heart failure resolve this conflict. Qualitative semi-structured interviews were carried out with health professionals who were currently caring for patients with heart failure, and observations were conducted at one dedicated heart failure clinic in northern England. While clinicians acknowledged that patients' ideas and preferences should be an important part of treatment decisions, the widespread acceptance of an evidence-based clinical protocol for heart failure among the clinic doctors significantly influenced the content and style of the consultation. Evidence-based medicine was used to buttress professional authority and seemed to provide an additional barrier to the adoption of patient-centred clinical practice.
Probabilistic Integrated Assessment of ``Dangerous'' Climate Change
NASA Astrophysics Data System (ADS)
Mastrandrea, Michael D.; Schneider, Stephen H.
2004-04-01
Climate policy decisions are being made despite layers of uncertainty. Such decisions directly influence the potential for ``dangerous anthropogenic interference with the climate system.'' We mapped a metric for this concept, based on Intergovernmental Panel on Climate Change assessment of climate impacts, onto probability distributions of future climate change produced from uncertainty in key parameters of the coupled social-natural system-climate sensitivity, climate damages, and discount rate. Analyses with a simple integrated assessment model found that, under midrange assumptions, endogenously calculated, optimal climate policy controls can reduce the probability of dangerous anthropogenic interference from ~45% under minimal controls to near zero.
Monaghan, Mark
2014-09-01
Drugs policy is made in a politically charged atmosphere. This is often not seen to be conducive to the ideals of evidence-based policymaking. In the UK over recent years the efficacy of the 1971 Misuse of Drugs Act (MDA) has been one of the most widely discussed and debated areas of UK drug policy. Since inception, the MDA 1971 has remained relatively stable with very few drugs moving up or down the scale and until recently, and with very few exceptions, there has been little public debate on the nature of the system. This changed in the run up to the cannabis reclassification in 2004 from class B to class C, through the reverse of this decision in 2009 and the fallout between the Government of the time and leading members of the Advisory Council on the Misuse of Drugs. Based on wide-ranging survey of the literature and secondary analysis of various official publications and academic commentaries, this paper considers what the cannabis episode can tell us about the current state of UK drug policy governance. Previous research on drug policy governance has suggested that policy goals should be clearly articulated so as to avoid confusion over what constitutes evidence, decision-makers should be 'evidence-imbued' and there should be widespread consultation with, and transparency of, stakeholder engagement. The interpretation here is that recent changes to cannabis legislation reveal that these aspects of good governance were called into question although there were fleeting moments of good practice. The use of evidence in drug policy formulation continues to be bedevilled by political stalemate and reluctance to countenance radical reform. Where evidence does play a role it tends to be at the margins. There are, however, potential lessons to be learned from other policy areas but this requires a more pragmatic attitude on behalf of decision-makers. Copyright © 2014 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Heydari, Jafar; Norouzinasab, Yousef
2015-12-01
In this paper, a discount model is proposed to coordinate pricing and ordering decisions in a two-echelon supply chain (SC). Demand is stochastic and price sensitive while lead times are fixed. Decentralized decision making where downstream decides on selling price and order size is investigated. Then, joint pricing and ordering decisions are extracted where both members act as a single entity aim to maximize whole SC profit. Finally, a coordination mechanism based on quantity discount is proposed to coordinate both pricing and ordering decisions simultaneously. The proposed two-level discount policy can be characterized from two aspects: (1) marketing viewpoint: a retail price discount to increase the demand, and (2) operations management viewpoint: a wholesale price discount to induce the retailer to adjust its order quantity and selling price jointly. Results of numerical experiments demonstrate that the proposed policy is suitable to coordinate SC and improve the profitability of SC as well as all SC members in comparison with decentralized decision making.
Drum, Ryan G; Ribic, Christine A; Koch, Katie; Lonsdorf, Eric; Grant, Evan; Ahlering, Marissa; Barnhill, Laurel; Dailey, Thomas; Lor, Socheata; Mueller, Connie; Pavlacky, David C; Rideout, Catherine; Sample, David
2015-01-01
Grassland bird habitat has declined substantially in the United States. Remaining grasslands are increasingly fragmented, mostly privately owned, and vary greatly in terms of habitat quality and protection status. A coordinated strategic response for grassland bird conservation is difficult, largely due to the scope and complexity of the problem, further compounded by biological, sociological, and economic uncertainties. We describe the results from a collaborative Structured Decision Making (SDM) workshop focused on linking social and economic drivers of landscape change to grassland bird population outcomes. We identified and evaluated alternative strategies for grassland bird conservation using a series of rapid prototype models. We modeled change in grassland and agriculture cover in hypothetical landscapes resulting from different landowner decisions in response to alternative socio-economic conservation policy decisions. Resulting changes in land cover at all three stages of the annual cycle (breeding, wintering, and migration) were used to estimate changes in grassland bird populations. Our results suggest that successful grassland bird conservation may depend upon linkages with ecosystem services on working agricultural lands and grassland-based marketing campaigns to engage the public. With further development, spatial models that link landowner decisions with biological outcomes can be essential tools for making conservation policy decisions. A coordinated non-traditional partnership will likely be necessary to clearly understand and systematically respond to the many conservation challenges facing grassland birds.
Drum, Ryan G.; Ribic, Christine A.; Koch, Katie; Lonsdorf, Eric; Grant, Evan; Ahlering, Marissa; Barnhill, Laurel; Dailey, Thomas; Lor, Socheata; Mueller, Connie; Pavlacky, David C.; Rideout, Catherine; Sample, David
2015-01-01
Grassland bird habitat has declined substantially in the United States. Remaining grasslands are increasingly fragmented, mostly privately owned, and vary greatly in terms of habitat quality and protection status. A coordinated strategic response for grassland bird conservation is difficult, largely due to the scope and complexity of the problem, further compounded by biological, sociological, and economic uncertainties. We describe the results from a collaborative Structured Decision Making (SDM) workshop focused on linking social and economic drivers of landscape change to grassland bird population outcomes. We identified and evaluated alternative strategies for grassland bird conservation using a series of rapid prototype models. We modeled change in grassland and agriculture cover in hypothetical landscapes resulting from different landowner decisions in response to alternative socio-economic conservation policy decisions. Resulting changes in land cover at all three stages of the annual cycle (breeding, wintering, and migration) were used to estimate changes in grassland bird populations. Our results suggest that successful grassland bird conservation may depend upon linkages with ecosystem services on working agricultural lands and grassland-based marketing campaigns to engage the public. With further development, spatial models that link landowner decisions with biological outcomes can be essential tools for making conservation policy decisions. A coordinated non-traditional partnership will likely be necessary to clearly understand and systematically respond to the many conservation challenges facing grassland birds. PMID:26569108
Drum, Ryan G.; Ribic, Christine; Koch, Katie; Lonsdorf, Eric V.; Grant, Edward C.; Ahlering, Marissa; Barnhill, Laurel; Dailey, Thomas; Lor, Socheata; Mueller, Connie; Pavlacky, D.C.; Rideout, Catherine; Sample, David W.
2015-01-01
Grassland bird habitat has declined substantially in the United States. Remaining grasslands are increasingly fragmented, mostly privately owned, and vary greatly in terms of habitat quality and protection status. A coordinated strategic response for grassland bird conservation is difficult, largely due to the scope and complexity of the problem, further compounded by biological, sociological, and economic uncertainties. We describe the results from a collaborative Structured Decision Making (SDM) workshop focused on linking social and economic drivers of landscape change to grassland bird population outcomes. We identified and evaluated alternative strategies for grassland bird conservation using a series of rapid prototype models. We modeled change in grassland and agriculture cover in hypothetical landscapes resulting from different landowner decisions in response to alternative socio-economic conservation policy decisions. Resulting changes in land cover at all three stages of the annual cycle (breeding, wintering, and migration) were used to estimate changes in grassland bird populations. Our results suggest that successful grassland bird conservation may depend upon linkages with ecosystem services on working agricultural lands and grassland-based marketing campaigns to engage the public. With further development, spatial models that link landowner decisions with biological outcomes can be essential tools for making conservation policy decisions. A coordinated non-traditional partnership will likely be necessary to clearly understand and systematically respond to the many conservation challenges facing grassland birds.
10 CFR 51.103 - Record of decision-general.
Code of Federal Regulations, 2010 CFR
2010-01-01
... preferences among alternatives based on relevant factors, including economic and technical considerations where appropriate, the NRC's statutory mission, and any essential considerations of national policy...
Duckett, Stephen J
2008-01-01
Background Hospital policy involves multiple objectives: efficiency of service delivery, pursuit of high quality care, promoting access. Funding policy based on hospital casemix has traditionally been considered to be only about promoting efficiency. Discussion Formula-based funding policy can be (and has been) used to pursue a range of policy objectives, not only efficiency. These are termed 'adjunct' goals. Strategies to incorporate adjunct goals into funding design must, implicitly or explicitly, address key decision choices outlined in this paper. Summary Policy must be clear and explicit about the behaviour to be rewarded; incentives must be designed so that all facilities with an opportunity to improve have an opportunity to benefit; the reward structure is stable and meaningful; and the funder monitors performance and gaming. PMID:18384694
Pineo, Helen; Glonti, Ketevan; Rutter, Harry; Zimmermann, Nicole; Wilkinson, Paul; Davies, Michael
2017-01-13
There is wide agreement that there is a lack of attention to health in municipal environmental policy-making, such as urban planning and regeneration. Explanations for this include differing professional norms between health and urban environment professionals, system complexity and limited evidence for causality between attributes of the built environment and health outcomes. Data from urban health indicator (UHI) tools are potentially a valuable form of evidence for local government policy and decision-makers. Although many UHI tools have been specifically developed to inform policy, there is poor understanding of how they are used. This study aims to identify the nature and characteristics of UHI tools and their use by municipal built environment policy and decision-makers. Health and social sciences databases (ASSIA, Campbell Library, EMBASE, MEDLINE, Scopus, Social Policy and Practice and Web of Science Core Collection) will be searched for studies using UHI tools alongside hand-searching of key journals and citation searches of included studies. Advanced searches of practitioner websites and Google will also be used to find grey literature. Search results will be screened for UHI tools, and for studies which report on or evaluate the use of such tools. Data about UHI tools will be extracted to compile a census and taxonomy of existing tools based on their specific characteristics and purpose. In addition, qualitative and quantitative studies about the use of these tools will be appraised using quality appraisal tools produced by the UK National Institute for Health and Care Excellence (NICE) and synthesised in order to gain insight into the perceptions, value and use of UHI tools in the municipal built environment policy and decision-making process. This review is not registered with PROSPERO. This systematic review focuses specifically on UHI tools that assess the physical environment's impact on health (such as transport, housing, air quality and greenspace). This study will help indicator producers understand whether this form of evidence is of value to built environment policy and decision-makers and how such tools should be tailored for this audience. N/A.
Implications for social policy of variability in racial groups.
Helms, Janet E
2008-11-01
Social policy and federal and state legislation require the use of single cut scores when tests of cognitive ability, knowledge, or skills (CAKS) are used to make high-stakes assessment decisions, such as whether students or employees may be promoted. Rationales offered for the requirement are that cut scores provide objective standards and are fairer than using subjective criteria, such as racial group membership. It is argued that failure to consider threats to statistical conclusion validity, such as differences in variability between groups, obscures the differential impact of using a common cut score as the basis for highstakes decisions. Analyses of 40 Black and White samples revealed that (a) Whites might be considerably advantaged and Blacks might be considerably disadvantaged by the same cut score and (b) depending on where the cut score is set, decisions based on ratios of numbers of Whites numbers of Blacks might be fairer than use of CAKS test cut scores. Implications for assessment practice and social policy are discussed.
NASA Astrophysics Data System (ADS)
Pierce, S. A.; Wagner, K.; Schwartz, S.; Gentle, J. N., Jr.
2016-12-01
Critical water resources face the effects of historic drought, increased demand, and potential contamination, the need has never been greater to develop resources to effectively communicate conservation and protection across a broad audience and geographical area. The Watermark application and macro-analysis methodology merges topical analysis of context rich corpus from policy texts with multi-attributed solution sets from integrated models of water resource and other subsystems, such as mineral, food, energy, or environmental systems to construct a scalable, robust, and reproducible approach for identifying links between policy and science knowledge bases. The Watermark application is an open-source, interactive workspace to support science-based visualization and decision making. Designed with generalization in mind, Watermark is a flexible platform that allows for data analysis and inclusion of large datasets with an interactive front-end capable of connecting with other applications as well as advanced computing resources. In addition, the Watermark analysis methodology offers functionality that streamlines communication with non-technical users for policy, education, or engagement with groups around scientific topics of societal relevance. The technology stack for Watermark was selected with the goal of creating a robust and dynamic modular codebase that can be adjusted to fit many use cases and scale to support usage loads that range between simple data display to complex scientific simulation-based modelling and analytics. The methodology uses to topical analysis and simulation-optimization to systematically analyze the policy and management realities of resource systems and explicitly connect the social and problem contexts with science-based and engineering knowledge from models. A case example demonstrates use in a complex groundwater resources management study highlighting multi-criteria spatial decision making and uncertainty comparisons.
An Agent-Based Model of Farmer Decision Making in Jordan
NASA Astrophysics Data System (ADS)
Selby, Philip; Medellin-Azuara, Josue; Harou, Julien; Klassert, Christian; Yoon, Jim
2016-04-01
We describe an agent based hydro-economic model of groundwater irrigated agriculture in the Jordan Highlands. The model employs a Multi-Agent-Simulation (MAS) framework and is designed to evaluate direct and indirect outcomes of climate change scenarios and policy interventions on farmer decision making, including annual land use, groundwater use for irrigation, and water sales to a water tanker market. Land use and water use decisions are simulated for groups of farms grouped by location and their behavioural and economic similarities. Decreasing groundwater levels, and the associated increase in pumping costs, are important drivers for change within Jordan'S agricultural sector. We describe how this is considered by coupling of agricultural and groundwater models. The agricultural production model employs Positive Mathematical Programming (PMP), a method for calibrating agricultural production functions to observed planted areas. PMP has successfully been used with disaggregate models for policy analysis. We adapt the PMP approach to allow explicit evaluation of the impact of pumping costs, groundwater purchase fees and a water tanker market. The work demonstrates the applicability of agent-based agricultural decision making assessment in the Jordan Highlands and its integration with agricultural model calibration methods. The proposed approach is designed and implemented with software such that it could be used to evaluate a variety of physical and human influences on decision making in agricultural water management.
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks
NASA Astrophysics Data System (ADS)
Calvo-Fullana, Miguel; Anton-Haro, Carles; Matamoros, Javier; Ribeiro, Alejandro
2018-07-01
In this paper, we study the joint routing-scheduling problem in energy harvesting communication networks. Our policies, which are based on stochastic subgradient methods on the dual domain, act as an energy harvesting variant of the stochastic family of backpresure algorithms. Specifically, we propose two policies: (i) the Stochastic Backpressure with Energy Harvesting (SBP-EH), in which a node's routing-scheduling decisions are determined by the difference between the Lagrange multipliers associated to their queue stability constraints and their neighbors'; and (ii) the Stochastic Soft Backpressure with Energy Harvesting (SSBP-EH), an improved algorithm where the routing-scheduling decision is of a probabilistic nature. For both policies, we show that given sustainable data and energy arrival rates, the stability of the data queues over all network nodes is guaranteed. Numerical results corroborate the stability guarantees and illustrate the minimal gap in performance that our policies offer with respect to classical ones which work with an unlimited energy supply.
Puhl, R M; Suh, Y; Li, X
2017-04-01
Weight-based bullying is a prevalent problem among youth with overweight and obesity, but remains neglected in existing policy-level strategies to address youth bullying. Parental support is an influential catalyst motivating political will for policy decisions affecting youth, but has received limited research attention. To assess levels of, and predictors of, parental support for school-based policies and state/federal legal measures to address weight-based bullying in 2014 and 2015. Identical online questionnaires were completed by two independent national samples of parents in 2014 and 2015 (N = 1804). Parental support for all policy actions was high (at least 81%) and significantly increased from 2014 to 2015 for legal measures that would a) require state anti-bullying laws to add protections against weight-based bullying, and b) enact a federal anti-bullying law that includes weight-based bullying. These findings can inform policy discourse about remedies for youth bullying, and suggest that parental support for improved legal protections against weight-based bullying is present, consistent, and strong. © 2016 World Obesity Federation.
Aubertot, Jean-Noël; Peyrard, Nathalie; Sabbadin, Régis
2017-01-01
Designing management policies in ecology and agroecology is complex. Several components must be managed together while they strongly interact spatially. Decision choices must be made under uncertainty on the results of the actions and on the system dynamics. Furthermore, the objectives pursued when managing ecological systems or agroecosystems are usually long term objectives, such as biodiversity conservation or sustainable crop production. The framework of Graph-Based Markov Decision Processes (GMDP) is well adapted to the qualitative modeling of such problems of sequential decision under uncertainty. Spatial interactions are easily modeled and integrated control policies (combining several action levers) can be designed through optimization. The provided policies are adaptive, meaning that management actions are decided at each time step (for instance yearly) and the chosen actions depend on the current system state. This framework has already been successfully applied to forest management and invasive species management. However, up to now, no “easy-to-use” implementation of this framework was available. We present GMDPtoolbox, a Matlab toolbox which can be used both for the design of new management policies and for comparing policies by simulation. We provide an illustration of the use of the toolbox on a realistic crop disease management problem: the design of long term management policy of blackleg of canola using an optimal combination of three possible cultural levers. This example shows how GMDPtoolbox can be used as a tool to support expert thinking. PMID:28982151
Cros, Marie-Josée; Aubertot, Jean-Noël; Peyrard, Nathalie; Sabbadin, Régis
2017-01-01
Designing management policies in ecology and agroecology is complex. Several components must be managed together while they strongly interact spatially. Decision choices must be made under uncertainty on the results of the actions and on the system dynamics. Furthermore, the objectives pursued when managing ecological systems or agroecosystems are usually long term objectives, such as biodiversity conservation or sustainable crop production. The framework of Graph-Based Markov Decision Processes (GMDP) is well adapted to the qualitative modeling of such problems of sequential decision under uncertainty. Spatial interactions are easily modeled and integrated control policies (combining several action levers) can be designed through optimization. The provided policies are adaptive, meaning that management actions are decided at each time step (for instance yearly) and the chosen actions depend on the current system state. This framework has already been successfully applied to forest management and invasive species management. However, up to now, no "easy-to-use" implementation of this framework was available. We present GMDPtoolbox, a Matlab toolbox which can be used both for the design of new management policies and for comparing policies by simulation. We provide an illustration of the use of the toolbox on a realistic crop disease management problem: the design of long term management policy of blackleg of canola using an optimal combination of three possible cultural levers. This example shows how GMDPtoolbox can be used as a tool to support expert thinking.
The Flask Security Architecture: System Support for Diverse Security Policies
2006-01-01
Flask microkernel -based operating sys tem, that successfully overcomes these obstacles to pol- icy flexibility. The cleaner separation of mechanism and...other object managers in the system to en- force those access control decisions. Although the pro totype system is microkernel -based, the security...mecha nisms do not depend on a microkernel architecture and will easily generalize beyond it. The resulting system provides policy flexibility. It sup
Teacher Performance Plays Growing Role in Employment Decisions. Teacher Tenure: Trends in State Laws
ERIC Educational Resources Information Center
Thomsen, Jennifer
2014-01-01
An increasing number of states are mandating teacher performance be considered in educator employment decisions, including awarding tenure and layoffs, according to a 50-state policy review of teacher tenure laws. Tenure laws have historically granted job protections based on years of employment. The Education Commission of the States (ECS)…
The state of development of fire management decision support systems in America and Europe
Robert Mavsar; Armando González-Cabán; Elsa Varela
2013-01-01
Forest fires affect millions of people worldwide, and cause major ecosystem and economic impacts at different scales. The management policies implemented to minimize the negative impacts of forest fires require substantial investment of financial, human and organizational resources, which must be justifiable and efficient. Decision support systems based on economic...
Rationality in the Academy: Why Responsibility Center Budgeting Is a Wrong Step Down the Wrong Road.
ERIC Educational Resources Information Center
Adams, E. M.
1997-01-01
Responsibility Center Budgeting/Management in higher education places at the heart of the university a mode of rationality in decision making that subverts educational policy and weakens the institution's ability for corrective cultural criticism. Academic leaders should make academic and research decisions based on students' and society's…
USDA-ARS?s Scientific Manuscript database
Crop yield estimates have a strong impact on dealing with food shortages and on market demand and supply; these estimates are critical for decision-making processes by the U.S. Government, policy makers, stakeholders, etc. Most of the decision making is based on forecasts provided by the U.S. Depart...
2014-01-01
This paper analyses how different coordination modes and different multiobjective decision making approaches interfere with each other in hierarchical organizations. The investigation is based on an agent-based simulation. We apply a modified NK-model in which we map multiobjective decision making as adaptive walk on multiple performance landscapes, whereby each landscape represents one objective. We find that the impact of the coordination mode on the performance and the speed of performance improvement is critically affected by the selected multiobjective decision making approach. In certain setups, the performances achieved with the more complex multiobjective decision making approaches turn out to be less sensitive to the coordination mode than the performances achieved with the less complex multiobjective decision making approaches. Furthermore, we present results on the impact of the nature of interactions among decisions on the achieved performance in multiobjective setups. Our results give guidance on how to control the performance contribution of objectives to overall performance and answer the question how effective certain multiobjective decision making approaches perform under certain circumstances (coordination mode and interdependencies among decisions). PMID:25152926
Application of Domain Knowledge to Software Quality Assurance
NASA Technical Reports Server (NTRS)
Wild, Christian W.
1997-01-01
This work focused on capturing, using, and evolving a qualitative decision support structure across the life cycle of a project. The particular application of this study was towards business process reengineering and the representation of the business process in a set of Business Rules (BR). In this work, we defined a decision model which captured the qualitative decision deliberation process. It represented arguments both for and against proposed alternatives to a problem. It was felt that the subjective nature of many critical business policy decisions required a qualitative modeling approach similar to that of Lee and Mylopoulos. While previous work was limited almost exclusively to the decision capture phase, which occurs early in the project life cycle, we investigated the use of such a model during the later stages as well. One of our significant developments was the use of the decision model during the operational phase of a project. By operational phase, we mean the phase in which the system or set of policies which were earlier decided are deployed and put into practice. By making the decision model available to operational decision makers, they would have access to the arguments pro and con for a variety of actions and can thus make a more informed decision which balances the often conflicting criteria by which the value of action is measured. We also developed the concept of a 'monitored decision' in which metrics of performance were identified during the decision making process and used to evaluate the quality of that decision. It is important to monitor those decision which seem at highest risk of not meeting their stated objectives. Operational decisions are also potentially high risk decisions. Finally, we investigated the use of performance metrics for monitored decisions and audit logs of operational decisions in order to feed an evolutionary phase of the the life cycle. During evolution, decisions are revisisted, assumptions verified or refuted, and possible reassessments resulting in new policy are made. In this regard we implemented a machine learning algorithm which automatically defined business rules based on expert assessment of the quality of operational decisions as recorded during deployment.
Implementing Participatory Decision Making in Forest Planning
NASA Astrophysics Data System (ADS)
Ananda, Jayanath
2007-04-01
Forest policy decisions are often a source of debate, conflict, and tension in many countries. The debate over forest land-use decisions often hinges on disagreements about societal values related to forest resource use. Disagreements on social value positions are fought out repeatedly at local, regional, national, and international levels at an enormous social cost. Forest policy problems have some inherent characteristics that make them more difficult to deal with. On the one hand, forest policy decisions involve uncertainty, long time scales, and complex natural systems and processes. On the other hand, such decisions encompass social, political, and cultural systems that are evolving in response to forces such as globalization. Until recently, forest policy was heavily influenced by the scientific community and various economic models of optimal resource use. However, growing environmental awareness and acceptance of participatory democracy models in policy formulation have forced the public authorities to introduce new participatory mechanisms to manage forest resources. Most often, the efforts to include the public in policy formulation can be described using the lower rungs of Arnstein’s public participation typology. This paper presents an approach that incorporates stakeholder preferences into forest land-use policy using the Analytic Hierarchy Process (AHP). An illustrative case of regional forest-policy formulation in Australia is used to demonstrate the approach. It is contended that applying the AHP in the policy process could considerably enhance the transparency of participatory process and public acceptance of policy decisions.
ERIC Educational Resources Information Center
Brown, Jeffrey; Dimmock, Stephen G.; Kang, Jun-Koo; Weisbenner, Scott
2010-01-01
Over the past two decades, endowments have become an increasingly important component of the typical university's resource base. We examine how U.S. doctoral institutions' endowment payout policies and spending decisions are affected by financial market shocks to endowments. While most endowments have formal payout policies intended to smooth…
The Evolving Relationship between Researchers and Public Policy
ERIC Educational Resources Information Center
Henig, Jeffrey R.
2008-01-01
When it comes to the role of research in shaping public policy and debate, one might reasonably argue that this is the best of times. No Child Left Behind (NCLB), with its frequent mention of evidence-based decision making, has underscored the role that objective knowledge should play in a democratic society. The Institute of Education Sciences,…
Autonomy and School Improvement: What Do We Know and Where Do We Go from Here?
ERIC Educational Resources Information Center
Honig, Meredith I.; Rainey, Lydia R.
2012-01-01
New "autonomy initiatives" aim to increase schools' decision-making authority as a strategy to leverage school improvement. These policies build on lessons of previous reforms such as site-based management in ways that bode well for their success. However, how are these policies actually faring in implementation? The authors addressed that…
ERIC Educational Resources Information Center
Ministry of Education and Science, Stockholm (Sweden).
This paper briefly describes a higher education reform movement underway in Sweden and offers, respectively, the text and a summary of two policy-forming memoranda. A 1977 legislative decision on all postsecondary education gave the government authority to set education policy, and based the entire university and university college system on…
Historical reflection on advocacy in the psychology of intellectual disability.
Routh, Donald K
2005-12-01
Advocacy by psychologists has often been portrayed as requiring immersion in the processes of public policy. In the area of intellectual disability, many relevant laws have been passed, court cases fought, and administrative decisions made. These policy decisions have, however, sometimes been based on a division of labor, with psychologists doing the research and lawyers and representatives of parents' groups carrying out most of the advocacy. It now appears that some of the earlier advocacy by psychologists in this area had unfortunate results. This is partly because some of it was based on flawed research and partly because our values have changed over time. Some more recent instances of advocacy, better grounded scientifically, had more favorable effects. Nevertheless, there is clearly not a simple linear relation between research findings and policy. Ample illustrations of these statements are provided in the careers of four psychologists who were influential as advocates in this domain during their lifetimes: Henry Goddard, Cyril Burt, Jack Tizard, and Donald M. Baer.
Goldsmith, Kaitlin A; Granek, Elise F; Lubitow, Amy
2015-12-01
Changing climatic, demographic, and land use conditions are projected to alter the provisioning of ecosystem services in estuarine, coastal, and nearshore marine ecosystems, necessitating mitigation and adaptation policies and management. The current paradigm of research efforts occurring in parallel to, rather than in collaboration with, decision makers will be insufficient for the rapid responses required to adapt to and mitigate for projected changing conditions. Here, we suggest a different paradigm: one where research begins by engaging decision makers in the identification of priority data needs (biophysical, economic, and social). This paper uses synthesized interview data to provide insight into the varied demands for scientific research as described by decision makers working on coastal issues in Oregon, USA. The findings highlight the need to recognize (1) the differing framing of ecosystem services by decision makers versus scientists; and (2) the differing data priorities relevant to inland versus coastal decision makers. The findings further serve to highlight the need for decision makers, scientists, and funders to engage in increased communication. This research is an important first step in advancing efforts toward evidence-based decision making in Oregon and provides a template for further research across the US.
State-of-the-evidence reviews: advantages and challenges of including grey literature.
Benzies, Karen M; Premji, Shahirose; Hayden, K Alix; Serrett, Karen
2006-01-01
Increasingly, health policy decision-makers and professionals are turning to research-based evidence to support decisions about policy and practice. Systematic reviews are useful for gathering, summarizing, and synthesizing published and unpublished research about clearly defined interventions. State-of-the-evidence reviews are broader than traditional systematic reviews and may include not only published and unpublished research, but also published and unpublished non-research literature. Decisions about whether to include this "grey literature" in a review are challenging and lead to many questions about whether the advantages outweigh the challenges. The primary purpose of this article is to describe what constitutes grey literature, and methods to locate it and assess its quality. The secondary purpose is to discuss the core issues to consider when making decisions to include grey literature in a state-of-the-evidence review. A recent state-of-the-evidence review is used as an exemplar to present advantages and challenges related to including grey literature in a review. Despite the challenges, in the exemplar, inclusion of grey literature was useful to validate the results of a research-based literature search. Decisions about whether to include grey literature in a state-of-the-evidence review are complex. A checklist to assist in decision-making was created as a tool to assist the researcher in determining whether it is advantageous to include grey literature in a review.
DECISION-MAKING ALIGNED WITH RAPID-CYCLE EVALUATION IN HEALTH CARE.
Schneeweiss, Sebastian; Shrank, William H; Ruhl, Michael; Maclure, Malcolm
2015-01-01
Availability of real-time electronic healthcare data provides new opportunities for rapid-cycle evaluation (RCE) of health technologies, including healthcare delivery and payment programs. We aim to align decision-making processes with stages of RCE to optimize the usefulness and impact of rapid results. Rational decisions about program adoption depend on program effect size in relation to externalities, including implementation cost, sustainability, and likelihood of broad adoption. Drawing on case studies and experience from drug safety monitoring, we examine how decision makers have used scientific evidence on complex interventions in the past. We clarify how RCE alters the nature of policy decisions; develop the RAPID framework for synchronizing decision-maker activities with stages of RCE; and provide guidelines on evidence thresholds for incremental decision-making. In contrast to traditional evaluations, RCE provides early evidence on effectiveness and facilitates a stepped approach to decision making in expectation of future regularly updated evidence. RCE allows for identification of trends in adjusted effect size. It supports adapting a program in midstream in response to interim findings, or adapting the evaluation strategy to identify true improvements earlier. The 5-step RAPID approach that utilizes the cumulating evidence of program effectiveness over time could increase policy-makers' confidence in expediting decisions. RCE enables a step-wise approach to HTA decision-making, based on gradually emerging evidence, reducing delays in decision-making processes after traditional one-time evaluations.
Djulbegovic, Benjamin; Elqayam, Shira
2017-10-01
Given that more than 30% of healthcare costs are wasted on inappropriate care, suboptimal care is increasingly connected to the quality of medical decisions. It has been argued that personal decisions are the leading cause of death, and 80% of healthcare expenditures result from physicians' decisions. Therefore, improving healthcare necessitates improving medical decisions, ie, making decisions (more) rational. Drawing on writings from The Great Rationality Debate from the fields of philosophy, economics, and psychology, we identify core ingredients of rationality commonly encountered across various theoretical models. Rationality is typically classified under umbrella of normative (addressing the question how people "should" or "ought to" make their decisions) and descriptive theories of decision-making (which portray how people actually make their decisions). Normative theories of rational thought of relevance to medicine include epistemic theories that direct practice of evidence-based medicine and expected utility theory, which provides the basis for widely used clinical decision analyses. Descriptive theories of rationality of direct relevance to medical decision-making include bounded rationality, argumentative theory of reasoning, adaptive rationality, dual processing model of rationality, regret-based rationality, pragmatic/substantive rationality, and meta-rationality. For the first time, we provide a review of wide range of theories and models of rationality. We showed that what is "rational" behaviour under one rationality theory may be irrational under the other theory. We also showed that context is of paramount importance to rationality and that no one model of rationality can possibly fit all contexts. We suggest that in context-poor situations, such as policy decision-making, normative theories based on expected utility informed by best research evidence may provide the optimal approach to medical decision-making, whereas in the context-rich circumstances other types of rationality, informed by human cognitive architecture and driven by intuition and emotions such as the aim to minimize regret, may provide better solution to the problem at hand. The choice of theory under which we operate is important as it determines both policy and our individual decision-making. © 2017 The Authors Journal of Evaluation in Clinical Practice Published by John Wiley & Sons Ltd.
Principles of health economic evaluations of lipid-lowering strategies.
Ara, Roberta; Basarir, Hasan; Ward, Sue Elizabeth
2012-08-01
Policy decision-making in cardiovascular disease is increasingly informed by the results generated from decision-analytic models (DAMs). The methodological approaches and assumptions used in these DAMs impact on the results generated and can influence a policy decision based on a cost per quality-adjusted life year (QALY) threshold. Decision makers need to be provided with a clear understanding of the key sources of evidence and how they are used in the DAM to make an informed judgement on the quality and appropriateness of the results generated. Our review identified 12 studies exploring the cost-effectiveness of pharmaceutical lipid-lowering interventions published since January 2010. All studies used Markov models with annual cycles to represent the long-term clinical pathway. Important differences in the model structures and evidence base used within the DAMs were identified. Whereas the reporting standards were reasonably good, there were many instances when reporting of methods could be improved, particularly relating to baseline risk levels, long-term benefit of treatment and health state utility values. There is a scope for improvement in the reporting of evidence and modelling approaches used within DAMs to provide decision makers with a clearer understanding of the quality and validity of the results generated. This would be assisted by fuller publication of models, perhaps through detailed web appendices.
Non-clinical influences on clinical decision-making: a major challenge to evidence-based practice.
Hajjaj, F M; Salek, M S; Basra, M K A; Finlay, A Y
2010-05-01
This article reviews an aspect of daily clinical practice which is of critical importance in virtually every clinical consultation, but which is seldom formally considered. Non-clinical influences on clinical decision-making profoundly affect medical decisions. These influences include patient-related factors such as socioeconomic status, quality of life and patient's expectations and wishes, physician-related factors such as personal characteristics and interaction with their professional community, and features of clinical practice such as private versus public practice as well as local management policies. This review brings together the different strands of knowledge concerning non-clinical influences on clinical decision-making. This aspect of decision-making may be the biggest obstacle to the reality of practising evidence-based medicine. It needs to be understood in order to develop clinical strategies that will facilitate the practice of evidence-based medicine.
Enhancing Evidence-Based Public Health Policy: Developing and Using Policy Narratives.
Troy, Lisa M; Kietzman, Kathryn G
2016-06-01
Academic researchers and clinicians have a critical role in shaping public policies to improve the health of an aging America. Policy narratives that pair personal stories with research statistics are a powerful tool to share knowledge generated in academic and clinical settings with policymakers. Effective policy narratives rely on a trustworthy and competent narrator and a compelling story that highlights the personal impact of policies under consideration and academic research that bolsters the story. Awareness of the cultural differences in the motivations, expectations, and institutional constraints of academic researchers and clinicians as information producers and U.S. Congress and federal agencies as information users is critical to the development of policy narratives that impact policy decisions. The current article describes the development and use of policy narratives to bridge cultures and enhance evidence-based public health policies that better meet the needs of older adults. [Journal of Gerontological Nursing, 42(6), 11-17.]. Copyright 2016, SLACK Incorporated.
Ware, Robert E; Francis, Hilton W; Read, Kenneth E
2004-06-21
The Commonwealth Government constituted the Medicare Services Advisory Committee (MSAC) to implement its commitment to entrench the principles of evidence-based medicine in Australian clinical practice. With its recent review of positron emission tomography (PETReview), the Commonwealth intervened in an established MSAC process, and sanctioned the stated objective to restrict expenditure on the technology. In our opinion: The evaluation of evidence by PETReview was fundamentally compromised by a failure to meet the terms of reference, poor science, poor process and unique decision-making benchmarks. By accepting the recommendations of PETReview, the Commonwealth is propagating information which is not of the highest quality. The use of inferior-quality information for decision-making by doctors, patients and policy-makers is likely to harm rather than enhance healthcare outcomes.
The role of decision analytic modeling in the health economic assessment of spinal intervention.
Edwards, Natalie C; Skelly, Andrea C; Ziewacz, John E; Cahill, Kevin; McGirt, Matthew J
2014-10-15
Narrative review. To review the common tenets, strengths, and weaknesses of decision modeling for health economic assessment and to review the use of decision modeling in the spine literature to date. For the majority of spinal interventions, well-designed prospective, randomized, pragmatic cost-effectiveness studies that address the specific decision-in-need are lacking. Decision analytic modeling allows for the estimation of cost-effectiveness based on data available to date. Given the rising demands for proven value in spine care, the use of decision analytic modeling is rapidly increasing by clinicians and policy makers. This narrative review discusses the general components of decision analytic models, how decision analytic models are populated and the trade-offs entailed, makes recommendations for how users of spine intervention decision models might go about appraising the models, and presents an overview of published spine economic models. A proper, integrated, clinical, and economic critical appraisal is necessary in the evaluation of the strength of evidence provided by a modeling evaluation. As is the case with clinical research, all options for collecting health economic or value data are not without their limitations and flaws. There is substantial heterogeneity across the 20 spine intervention health economic modeling studies summarized with respect to study design, models used, reporting, and general quality. There is sparse evidence for populating spine intervention models. Results mostly showed that interventions were cost-effective based on $100,000/quality-adjusted life-year threshold. Spine care providers, as partners with their health economic colleagues, have unique clinical expertise and perspectives that are critical to interpret the strengths and weaknesses of health economic models. Health economic models must be critically appraised for both clinical validity and economic quality before altering health care policy, payment strategies, or patient care decisions. 4.
Rutkow, Lainie; Jones-Smith, Jesse; Walters, Hannah J; O'Hara, Marguerite; Bleich, Sara N
2016-12-01
Policy-makers throughout the world seek to address childhood obesity prevention, yet little is known about factors that influence policy-makers' decisions on this topic. From September 2014 to April 2015, we conducted 43 semi-structured interviews about factors that encourage and discourage policy-makers' support for childhood obesity prevention policies. We interviewed policy-makers (n = 12) and two other groups engaged with childhood obesity prevention policies: representatives of non-governmental organizations (n = 24) and academics (n = 7). Factors that encourage policy-makers' support for childhood obesity prevention policies included: positive impact on government finances, an existing evidence base, partnerships with community-based collaborators, and consistency with policy-makers' priorities. Factors that discourage policy-makers' support included the following: perceptions about government's role, food and beverage industry opposition, and policy-makers' beliefs about personal responsibility. As public health practitioners, advocates, and others seek to advance childhood obesity prevention in the U.S. and elsewhere, the factors we identified offer insights into ways to frame proposed policies and strategies to influence policy-makers.
New and improved tuberculosis diagnostics: evidence, policy, practice, and impact.
Pai, Madhukar; Minion, Jessica; Steingart, Karen; Ramsay, Andrew
2010-05-01
The aim is to summarize the evidence base for tuberculosis (TB) diagnostics, review recent policies on TB diagnostics, and discuss issues such as how evidence is translated into policy, limitations of the existing evidence base, and challenges involved in translating policies into impact. Case detection continues to be a major obstacle to global TB control. Fortunately, due to an unprecedented level of interest, funding, and activity, the new diagnostics pipeline for TB has rapidly expanded. There have been several new policies and guidelines on TB diagnostics. However, there are major gaps in the existing pipeline (e.g. lack of a point-of-care test) and the evidence base is predominantly made up of research studies of test accuracy. With the availability of new diagnostics and supporting policies, the next major step is translation of policy into practice. The impact of new tests will depend largely on the extent of their introduction and acceptance into the global public sector. This will itself depend in part on policy decisions by international technical agencies and national TB programs. With the engagement of all key stakeholders, we will need to translate evidence-based policies into epidemiological and public health impact.
Flexible Early Warning Systems with Workflows and Decision Tables
NASA Astrophysics Data System (ADS)
Riedel, F.; Chaves, F.; Zeiner, H.
2012-04-01
An essential part of early warning systems and systems for crisis management are decision support systems that facilitate communication and collaboration. Often official policies specify how different organizations collaborate and what information is communicated to whom. For early warning systems it is crucial that information is exchanged dynamically in a timely manner and all participants get exactly the information they need to fulfil their role in the crisis management process. Information technology obviously lends itself to automate parts of the process. We have experienced however that in current operational systems the information logistics processes are hard-coded, even though they are subject to change. In addition, systems are tailored to the policies and requirements of a certain organization and changes can require major software refactoring. We seek to develop a system that can be deployed and adapted to multiple organizations with different dynamic runtime policies. A major requirement for such a system is that changes can be applied locally without affecting larger parts of the system. In addition to the flexibility regarding changes in policies and processes, the system needs to be able to evolve; when new information sources become available, it should be possible to integrate and use these in the decision process. In general, this kind of flexibility comes with a significant increase in complexity. This implies that only IT professionals can maintain a system that can be reconfigured and adapted; end-users are unable to utilise the provided flexibility. In the business world similar problems arise and previous work suggested using business process management systems (BPMS) or workflow management systems (WfMS) to guide and automate early warning processes or crisis management plans. However, the usability and flexibility of current WfMS are limited, because current notations and user interfaces are still not suitable for end-users, and workflows are usually only suited for rigid processes. We show how improvements can be achieved by using decision tables and rule-based adaptive workflows. Decision tables have been shown to be an intuitive tool that can be used by domain experts to express rule sets that can be interpreted automatically at runtime. Adaptive workflows use a rule-based approach to increase the flexibility of workflows by providing mechanisms to adapt workflows based on context changes, human intervention and availability of services. The combination of workflows, decision tables and rule-based adaption creates a framework that opens up new possibilities for flexible and adaptable workflows, especially, for use in early warning and crisis management systems.
Copernicus: a quantum leap in Earth Observation
NASA Astrophysics Data System (ADS)
Aschbacher, Josef
2015-04-01
Copernicus is the most ambitious, most comprehensive Earth observation system world-wide. It aims at giving decision-makers better information to act upon, at global, continental, national and regional level. The European Union (EU) leads the overall programme, while the European Space Agency (ESA) coordinates the space component. Similar to meteorology, satellite data is combined with data from airborne and ground sensors to provide a holistic view of the state of the planet. All these data are fed into a range of thematic information services designed to benefit the environment and to support policy-makers and other stakeholders to make decisions, coordinate policy areas, and formulate strategies relating to the environment. Moreover, the data will also be used for predicting future climate trends. Never has such a comprehensive Earth-observation based system been in place before. It will be fully integrated into an informed decision making process, thus enabling economic and social benefits through better access to information globally. A key feature of Copernicus is the free and open data policy of the Sentinel satellite data. This will enable that Earth observation based information enters completely new domains of daily life. High quality, regularly updated satellite observations become available for basically everyone. To ensure universal access new ground segment and data access concepts need to be developed. As more data are made available, better decisions can made, more business will be created and science and research can be achieved through the upcoming Sentinel data.
Developing guidelines in low-income and middle-income countries: lessons from Kenya
English, Mike; Irimu, Grace; Nyamai, Rachel; Were, Fred; Garner, Paul; Opiyo, Newton
2017-01-01
There are few examples of sustained nationally organised, evidence-informed clinical guidelines development processes in Sub-Saharan Africa. We describe the evolution of efforts from 2005 to 2015 to support evidence-informed decision making to guide admission hospital care practices in Kenya. The approach to conduct reviews, present evidence, and structure and promote transparency of consensus-based procedures for making recommendations improved over four distinct rounds of policy making. Efforts to engage important voices extended from government and academia initially to include multiple professional associations, regulators and practitioners. More than 100 people have been engaged in the decision-making process; an increasing number outside the research team has contributed to the conduct of systematic reviews, and 31 clinical policy recommendations has been developed. Recommendations were incorporated into clinical guideline booklets that have been widely disseminated with a popular knowledge and skills training course. Both helped translate evidence into practice. We contend that these efforts have helped improve the use of evidence to inform policy. The systematic reviews, Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approaches and evidence to decision-making process are well understood by clinicians, and the process has helped create a broad community engaged in evidence translation together with a social or professional norm to use evidence in paediatric care in Kenya. Specific sustained efforts should be made to support capacity and evidence-based decision making in other African settings and clinical disciplines. PMID:28584069
Halvorson, William L.; Eastin, Chris
1999-01-01
Resources management practices are changing in North America, not only based on greater understanding of the resources that are being managed, but also on some critical sociological relationship changes between human beings and between humans and nature. The entire way that humans look at the natural world and our own society is changing dramatically as we come to the end of the twentieth century. Managers are changing from making belief-based decisions to making informed knowledge-based decisions through better science programs. Society appears to increasingly be making a shift to a community mind-set, a mind-set of connectedness and interdependence, and away from strict individualism. Managers appear to be ready to embrace the concept of unity and wholeness; to understand that humans and nature are inextricably tied to each other’s wellbeing
Agyepong, Irene Akua; Kodua, Augustina; Adjei, Sam; Adam, Taghreed
2012-10-01
Implementation of policies (decisions) in the health sector is sometimes defeated by the system's response to the policy itself. This can lead to counter-intuitive, unanticipated, or more modest effects than expected by those who designed the policy. The health sector fits the characteristics of complex adaptive systems (CAS) and complexity is at the heart of this phenomenon. Anticipating both positive and negative effects of policy decisions, understanding the interests, power and interaction between multiple actors; and planning for the delayed and distal impact of policy decisions are essential for effective decision making in CAS. Failure to appreciate these elements often leads to a series of reductionist approach interventions or 'fixes'. This in turn can initiate a series of negative feedback loops that further complicates the situation over time. In this paper we use a case study of the Additional Duty Hours Allowance (ADHA) policy in Ghana to illustrate these points. Using causal loop diagrams, we unpack the intended and unintended effects of the policy and how these effects evolved over time. The overall goal is to advance our understanding of decision making in complex adaptive systems; and through this process identify some essential elements in formulating, updating and implementing health policy that can help to improve attainment of desired outcomes and minimize negative unintended effects.
Sarkies, Mitchell N; Bowles, Kelly-Ann; Skinner, Elizabeth H; Haas, Romi; Lane, Haylee; Haines, Terry P
2017-11-14
It is widely acknowledged that health policy and management decisions rarely reflect research evidence. Therefore, it is important to determine how to improve evidence-informed decision-making. The primary aim of this systematic review was to evaluate the effectiveness of research implementation strategies for promoting evidence-informed policy and management decisions in healthcare. The secondary aim of the review was to describe factors perceived to be associated with effective strategies and the inter-relationship between these factors. An electronic search was developed to identify studies published between January 01, 2000, and February 02, 2016. This was supplemented by checking the reference list of included articles, systematic reviews, and hand-searching publication lists from prominent authors. Two reviewers independently screened studies for inclusion, assessed methodological quality, and extracted data. After duplicate removal, the search strategy identified 3830 titles. Following title and abstract screening, 96 full-text articles were reviewed, of which 19 studies (21 articles) met all inclusion criteria. Three studies were included in the narrative synthesis, finding policy briefs including expert opinion might affect intended actions, and intentions persisting to actions for public health policy in developing nations. Workshops, ongoing technical assistance, and distribution of instructional digital materials may improve knowledge and skills around evidence-informed decision-making in US public health departments. Tailored, targeted messages were more effective in increasing public health policies and programs in Canadian public health departments compared to messages and a knowledge broker. Sixteen studies (18 articles) were included in the thematic synthesis, leading to a conceptualisation of inter-relating factors perceived to be associated with effective research implementation strategies. A unidirectional, hierarchal flow was described from (1) establishing an imperative for practice change, (2) building trust between implementation stakeholders and (3) developing a shared vision, to (4) actioning change mechanisms. This was underpinned by the (5) employment of effective communication strategies and (6) provision of resources to support change. Evidence is developing to support the use of research implementation strategies for promoting evidence-informed policy and management decisions in healthcare. The design of future implementation strategies should be based on the inter-relating factors perceived to be associated with effective strategies. This systematic review was registered with Prospero (record number: 42016032947).
Heuristic and optimal policy computations in the human brain during sequential decision-making.
Korn, Christoph W; Bach, Dominik R
2018-01-23
Optimal decisions across extended time horizons require value calculations over multiple probabilistic future states. Humans may circumvent such complex computations by resorting to easy-to-compute heuristics that approximate optimal solutions. To probe the potential interplay between heuristic and optimal computations, we develop a novel sequential decision-making task, framed as virtual foraging in which participants have to avoid virtual starvation. Rewards depend only on final outcomes over five-trial blocks, necessitating planning over five sequential decisions and probabilistic outcomes. Here, we report model comparisons demonstrating that participants primarily rely on the best available heuristic but also use the normatively optimal policy. FMRI signals in medial prefrontal cortex (MPFC) relate to heuristic and optimal policies and associated choice uncertainties. Crucially, reaction times and dorsal MPFC activity scale with discrepancies between heuristic and optimal policies. Thus, sequential decision-making in humans may emerge from integration between heuristic and optimal policies, implemented by controllers in MPFC.
Potential Effects of Health Care Policy Decisions on Physician Availability
NASA Technical Reports Server (NTRS)
Garcia, Christopher; Goodrich, Michael
2011-01-01
Many regions in America are experiencing downward trends in the number of practicing physicians and the number of available physician hours, resulting in a worrisome decrease in the availability of health care services. Recent changes in American health care legislation may induce a rapid change in the demand for health care services, which in turn will result in a new supply-demand equilibrium . In this paper we develop a system dynamics model linking physician availability to health care demand and profitability. We use this model to explore scenarios based on different initial conditions and describe possible outcomes for a range of different policy decisions.
Dynamic health policies for controlling the spread of emerging infections: influenza as an example.
Yaesoubi, Reza; Cohen, Ted
2011-01-01
The recent appearance and spread of novel infectious pathogens provide motivation for using models as tools to guide public health decision-making. Here we describe a modeling approach for developing dynamic health policies that allow for adaptive decision-making as new data become available during an epidemic. In contrast to static health policies which have generally been selected by comparing the performance of a limited number of pre-determined sequences of interventions within simulation or mathematical models, dynamic health policies produce "real-time" recommendations for the choice of the best current intervention based on the observable state of the epidemic. Using cumulative real-time data for disease spread coupled with current information about resource availability, these policies provide recommendations for interventions that optimally utilize available resources to preserve the overall health of the population. We illustrate the design and implementation of a dynamic health policy for the control of a novel strain of influenza, where we assume that two types of intervention may be available during the epidemic: (1) vaccines and antiviral drugs, and (2) transmission reducing measures, such as social distancing or mask use, that may be turned "on" or "off" repeatedly during the course of epidemic. In this example, the optimal dynamic health policy maximizes the overall population's health during the epidemic by specifying at any point of time, based on observable conditions, (1) the number of individuals to vaccinate if vaccines are available, and (2) whether the transmission-reducing intervention should be either employed or removed.
The limitations of 'evidence-based' public health.
Kemm, John
2006-06-01
This paper examines how the concept of the 'evidence-based' approach has transferred from clinical medicine to public health and has been applied to health promotion and policy making. In policy making evidence has always been interpreted broadly to cover all types of reasoned enquiry and after some debate the same is now true for health promotion. Taking communities rather than individuals as the unit of intervention and the importance of context means that frequently randomized controlled trials are not appropriate for study of public health interventions. Further, the notion of a 'best solution' ignores the complexity of the decision making process. Evidence 'enlightens' policy makers shaping how policy problems are framed rather than providing the answer to any particular problem. There are lessons from the way that evidence-based policy is being applied in public health that could usefully be taken back into medicine.
Wong, Carlos King Ho; Wu, Olivia; Cheung, Bernard M Y
2018-02-01
The aim of this article is to describe the process, evaluation criteria, and possible outcomes of decision-making for new drugs listed in the Hong Kong Hospital Authority Drug Formulary in comparison to the health technology assessment (HTA) policy overseas. Details of decision-making processes including the new drug listing submission, Drug Advisory Committee (DAC) meeting, and procedures prior to and following the meeting, were extracted from the official Hong Kong Hospital Authority drug formulary management website and manual. Publicly-available information related to the new drug decision-making process for five HTA agencies [the National Institute of Health and Care Excellence (NICE), the Scottish Medicines Consortium (SMC), the Australia Pharmaceutical Benefits Advisory Committee (PBAC), the Canadian Agency for Drugs and Technologies in Health (CADTH), and the New Zealand Pharmaceutical Management Agency (PHARMAC)] were reviewed and retrieved from official documents from public domains. The DAC is in charge of systemically and critically appraising new drugs before they are listed on the formulary, reviewing submitted applications, and making the decision to list the drug based on scientific evidence to which safety, efficacy, and cost-effectiveness are the primary considerations. When compared with other HTA agencies, transparency of the decision-making process of the DAC, the relevance of clinical and health economic evidence, and the lack of health economic and methodological input of submissions are the major challenges to the new-drug listing policy in Hong Kong. Despite these challenges, this review provides suggestions for the establishment of a more transparent, credible, and evidence-based decision-making process in the Hong Kong Hospital Authority Drug Formulary. Proposals for improvement in the listing of new drugs in the formulary should be a priority of healthcare reforms.
ERIC Educational Resources Information Center
Baker, Bruce D.; Oluwole, Joseph O.; Green, Preston C., III
2013-01-01
In this article, we explain how overly prescriptive, rigid state statutory and regulatory policy frameworks regarding teacher evaluation, tenure and employment decisions outstrip the statistical reliability and validity of proposed measures of teaching effectiveness. We begin with a discussion of the emergence of highly prescriptive state…
Scientific literacy for democratic decision-making
NASA Astrophysics Data System (ADS)
Yacoubian, Hagop A.
2018-02-01
Scientifically literate citizens must be able to engage in making decisions on science-based social issues. In this paper, I start by showing examples of science curricula and policy documents that capitalise the importance of engaging future citizens in decision-making processes whether at the personal or at the societal levels. I elucidate the ideological underpinnings behind a number of the statements within those documents that have defined the trajectory of scientific literacy and have shaped what ought to be considered as personal and societal benefits. I argue that science curricula and policy documents can truly endorse scientific literacy when they embed principles of democratic education at their core. The latter entails fostering learning experiences where some of the underlying assumptions and political ideologies are brought to the conscious level and future citizens encouraged to reflect upon them critically and explicitly. Such a proposal empowers the future citizens to engage in critical deliberation on science-based social issues without taking the underlying status quo for granted. I end up the paper by situating the preparation of scientifically literate citizens within a framework of democratic education, discuss conditions through which a curriculum for scientific literacy can serve democratic decision-making processes, and provide modest recommendations.
Rose is a member of the Markets & Policy Analysis Group in the Strategic Energy Analysis Center integration of renewable energy Research Interests Energy policy and regulation Decision support tools to inform power sector policy and regulatory decisions Energy and development International energy policy
Skillings, Jared Lyon
In the United States, there is a significant shortage of available donor organs. This requires transplant professionals to hold simultaneous, yet divergent roles as (1) advocates for patients who are in need of a lifesaving transplant, and (2) responsible stewards in the allocation of scarce donor organs. In order to balance these roles, most transplant teams utilize a committee based decision-making process to select suitable candidates for the transplant waiting list. These committees use medical and psychosocial criteria to guide their decision to list a patient. Transplant regulatory bodies have established medical standards for identifying appropriate medical candidates for transplantation. However, transplant regulatory bodies have not developed policies to standardize psychosocial criteria for listing patients. This affords transplant centers the autonomy to develop their own psychosocial criteria for determining which patients will be placed on the transplant waiting list. This lack of a standardized policy has resulted in inconsistent psychosocial practices amongst transplant centers nationwide. Since there has been no formal review of the inconsistency in psychosocial policy and practice, this paper seeks to explore the non-standardized psychosocial approach to organ transplant listing. The authors review factors that are relevant to the standardization of the psychosocial decision-making process, including shared decision-making, clinician judgment, bias in decision-making and moral distress in transplant staff. We conclude with a discussion about the impact of these issues on psychosocial practices in solid organ transplantation. PMID:29043272
Cooley, Sarah R.; Jewett, Elizabeth B.; Reichert, Julie; Robbins, Lisa L.; Shrestha, Gyami; Wieczorek, Dan; Weisberg, Stephen B.
2015-01-01
Much of the detailed, incremental knowledge being generated by current scientific research on ocean acidification (OA) does not directly address the needs of decision makers, who are asking broad questions such as: Where will OA harm marine resources next? When will this happen? Who will be affected? And how much will it cost? In this review, we use a series of mainly US-based case studies to explore the needs of local to international-scale groups that are making decisions to address OA concerns. Decisions concerning OA have been made most naturally and easily when information needs were clearly defined and closely aligned with science outputs and initiatives. For decisions requiring more complex information, the process slows dramatically. Decision making about OA is greatly aided (1) when a mixture of specialists participates, including scientists, resource users and managers, and policy and law makers; (2) when goals can be clearly agreed upon at the beginning of the process; (3) when mixed groups of specialists plan and create translational documents explaining the likely outcomes of policy decisions on ecosystems and natural resources; (4) when regional work on OA fits into an existing set of priorities concerning climate or water quality; and (5) when decision making can be reviewed and enhanced.
Caughlan, L.
2002-01-01
Natural resource management decisions are complicated by multiple property rights, management objectives, and stakeholders with varying degrees of influence over the decision making process. In order to make efficient decisions, managers must incorporate the opinions and values of the involved stakeholders as well as understand the complex institutional constraints and opportunities that influence the decision-making process. Often this type of information is not understood until after a decision has been made, which can result in wasted time and effort.The purpose of my dissertation was to show how institutional frameworks and stakeholder involvement influence the various phases of the resource management decision-making process in a public choice framework. The intent was to assist decision makers and stakeholders by developing a methodology for formally incorporating stakeholders'' objectives and influence into the resource management planning process and to predict the potential success of rent-seeking activity based on stakeholder preferences and level of influence. Concepts from decision analysis, institutional analysis, and public choice economics were used in designing this interdisciplinary framework. The framework was then applied to an actual case study concerning elk and bison management on the National Elk Refuge and Grand Teton National Park near Jackson, Wyoming. The framework allowed for the prediction of the level of support and conflict for all relevant policy decisions, and the identification of each stakeholder''s level of support or opposition for each management decision.
Balancing emotion and cognition: a case for decision aiding in conservation efforts.
Wilson, Robyn S
2008-12-01
Despite advances in the quality of participatory decision making for conservation, many current efforts still suffer from an inability to bridge the gap between science and policy. Judgment and decision-making research suggests this gap may result from a person's reliance on affect-based shortcuts in complex decision contexts. I examined the results from 3 experiments that demonstrate how affect (i.e., the instantaneous reaction one has to a stimulus) influences individual judgments in these contexts and identified techniques from the decision-aiding literature that help encourage a balance between affect-based emotion and cognition in complex decision processes. In the first study, subjects displayed a lack of focus on their stated conservation objectives and made decisions that reflected their initial affective impressions. Value-focused approaches may help individuals incorporate all the decision-relevant objectives by making the technical and value-based objectives more salient. In the second study, subjects displayed a lack of focus on statistical risk and again made affect-based decisions. Trade-off techniques may help individuals incorporate relevant technical data, even when it conflicts with their initial affective impressions or other value-based objectives. In the third study, subjects displayed a lack of trust in decision-making authorities when the decision involved a negatively affect-rich outcome (i.e., a loss). Identifying shared salient values and increasing procedural fairness may help build social trust in both decision-making authorities and the decision process.
NASA Astrophysics Data System (ADS)
Hyun, J. Y.; Yang, Y. C. E.; Tidwell, V. C.; Macknick, J.
2017-12-01
Modeling human behaviors and decisions in water resources management is a challenging issue due to its complexity and uncertain characteristics that affected by both internal (such as stakeholder's beliefs on any external information) and external factors (such as future policies and weather/climate forecast). Stakeholders' decision regarding how much water they need is usually not entirely rational in the real-world cases, so it is not quite suitable to model their decisions with a centralized (top-down) approach that assume everyone in a watershed follow the same order or pursue the same objective. Agent-based modeling (ABM) uses a decentralized approach (bottom-up) that allow each stakeholder to make his/her own decision based on his/her own objective and the belief of information acquired. In this study, we develop an ABM which incorporates the psychological human decision process by the theory of risk perception. The theory of risk perception quantifies human behaviors and decisions uncertainties using two sequential methodologies: the Bayesian Inference and the Cost-Loss Problem. The developed ABM is coupled with a regulation-based water system model: Riverware (RW) to evaluate different human decision uncertainties in water resources management. The San Juan River Basin in New Mexico (Figure 1) is chosen as a case study area, while we define 19 major irrigation districts as water use agents and their primary decision is to decide the irrigated area on an annual basis. This decision will be affected by three external factors: 1) upstream precipitation forecast (potential amount of water availability), 2) violation of the downstream minimum flow (required to support ecosystems), and 3) enforcement of a shortage sharing plan (a policy that is currently undertaken in the region for drought years). Three beliefs (as internal factors) that correspond to these three external factors will also be considered in the modeling framework. The objective of this study is to use the two-way coupling between ABM and RW to mimic how stakeholders' uncertain decisions that have been made through the theory of risk perception will affect local and basin-wide water uses.
A Policymaker's Primer on Education Research: How to Understand, Evaluate and Use It
ERIC Educational Resources Information Center
Lauer, Patricia A.
2004-01-01
The goal of this primer is to help policymakers and other interested individuals answer three big questions: (1) What does the research say? (2) Is the research trustworthy? (3) How can the research be used to guide policy? Answering these questions will help policymakers: (1) make evidenced-based decisions about education policies; (2) gain a…
ERIC Educational Resources Information Center
Copp, Derek T.
2017-01-01
Large-scale assessment (LSA) is a tool used by education authorities for several purposes, including the promotion of teacher-based instructional change. In Canada, all 10 provinces engage in large-scale testing across several grade levels and subjects, and also have the common expectation that the results data will be used to improve instruction…
Department of Defense Environmental Cleanup Cost Allowability Policy.
1994-12-01
The environment is directly affected by the industrial requirements and manufacturing processes necessary to provide those goods and services. As...and the industrial base. To begin the process , DCMC initiated the Environmental Initiatives Task Force Pilot Cost Allowance Program at five locations...policy covering environmental cleanup costs. Information will be provided to assist in the decision making process regarding the factors affecting the
NASA Astrophysics Data System (ADS)
Kwakkel, Jan; Haasnoot, Marjolijn
2015-04-01
In response to climate and socio-economic change, in various policy domains there is increasingly a call for robust plans or policies. That is, plans or policies that performs well in a very large range of plausible futures. In the literature, a wide range of alternative robustness metrics can be found. The relative merit of these alternative conceptualizations of robustness has, however, received less attention. Evidently, different robustness metrics can result in different plans or policies being adopted. This paper investigates the consequences of several robustness metrics on decision making, illustrated here by the design of a flood risk management plan. A fictitious case, inspired by a river reach in the Netherlands is used. The performance of this system in terms of casualties, damages, and costs for flood and damage mitigation actions is explored using a time horizon of 100 years, and accounting for uncertainties pertaining to climate change and land use change. A set of candidate policy options is specified up front. This set of options includes dike raising, dike strengthening, creating more space for the river, and flood proof building and evacuation options. The overarching aim is to design an effective flood risk mitigation strategy that is designed from the outset to be adapted over time in response to how the future actually unfolds. To this end, the plan will be based on the dynamic adaptive policy pathway approach (Haasnoot, Kwakkel et al. 2013) being used in the Dutch Delta Program. The policy problem is formulated as a multi-objective robust optimization problem (Kwakkel, Haasnoot et al. 2014). We solve the multi-objective robust optimization problem using several alternative robustness metrics, including both satisficing robustness metrics and regret based robustness metrics. Satisficing robustness metrics focus on the performance of candidate plans across a large ensemble of plausible futures. Regret based robustness metrics compare the performance of a candidate plan with the performance of other candidate plans across a large ensemble of plausible futures. Initial results suggest that the simplest satisficing metric, inspired by the signal to noise ratio, results in very risk averse solutions. Other satisficing metrics, which handle the average performance and the dispersion around the average separately, provide substantial additional insights into the trade off between the average performance, and the dispersion around this average. In contrast, the regret-based metrics enhance insight into the relative merits of candidate plans, while being less clear on the average performance or the dispersion around this performance. These results suggest that it is beneficial to use multiple robustness metrics when doing a robust decision analysis study. Haasnoot, M., J. H. Kwakkel, W. E. Walker and J. Ter Maat (2013). "Dynamic Adaptive Policy Pathways: A New Method for Crafting Robust Decisions for a Deeply Uncertain World." Global Environmental Change 23(2): 485-498. Kwakkel, J. H., M. Haasnoot and W. E. Walker (2014). "Developing Dynamic Adaptive Policy Pathways: A computer-assisted approach for developing adaptive strategies for a deeply uncertain world." Climatic Change.
New directions in evidence-based policy research: a critical analysis of the literature
2014-01-01
Despite 40 years of research into evidence-based policy (EBP) and a continued drive from both policymakers and researchers to increase research uptake in policy, barriers to the use of evidence are persistently identified in the literature. However, it is not clear what explains this persistence – whether they represent real factors, or if they are artefacts of approaches used to study EBP. Based on an updated review, this paper analyses this literature to explain persistent barriers and facilitators. We critically describe the literature in terms of its theoretical underpinnings, definitions of ‘evidence’, methods, and underlying assumptions of research in the field, and aim to illuminate the EBP discourse by comparison with approaches from other fields. Much of the research in this area is theoretically naive, focusing primarily on the uptake of research evidence as opposed to evidence defined more broadly, and privileging academics’ research priorities over those of policymakers. Little empirical data analysing the processes or impact of evidence use in policy is available to inform researchers or decision-makers. EBP research often assumes that policymakers do not use evidence and that more evidence – meaning research evidence – use would benefit policymakers and populations. We argue that these assumptions are unsupported, biasing much of EBP research. The agenda of ‘getting evidence into policy’ has side-lined the empirical description and analysis of how research and policy actually interact in vivo. Rather than asking how research evidence can be made more influential, academics should aim to understand what influences and constitutes policy, and produce more critically and theoretically informed studies of decision-making. We question the main assumptions made by EBP researchers, explore the implications of doing so, and propose new directions for EBP research, and health policy. PMID:25023520
ERIC Educational Resources Information Center
Hoepli, Nancy L., Ed.
Designed to initiate discussion of foreign policy decisions, this book contains an analysis of eight foreign policy issues confronting the United States in 1986. Each unit provides the background and guidelines to provide perspective to assist in understanding foreign policy crises. The units included in this issue are: (1) "How Foreign Policy Is…
Policy Route Map for Academic Libraries' Digital Content
ERIC Educational Resources Information Center
Koulouris, Alexandros; Kapidakis, Sarantos
2012-01-01
This paper presents a policy decision tree for digital information management in academic libraries. The decision tree is a policy guide, which offers alternative access and reproduction policy solutions according to the prevailing circumstances (for example acquisition method, copyright ownership). It refers to the digital information life cycle,…
Myriad Genetics: In the eye of the policy storm
Gold, E. Richard; Carbone, Julia
2011-01-01
From the late 1980s, a storm surrounding the wisdom, ethics, and economics of human gene patents has been brewing. The various winds of concern in this storm touched on the impact of gene patents on basic and clinical research, on health care delivery, and on the ability of public health care systems to provide equal access when faced with costly patented genetic diagnostic tests. Myriad Genetics, Inc., along with its subsidiary, Myriad Genetic Laboratories, Inc., a small Utah-based biotechnology company, found itself unwittingly in the eye of this storm after a series of decisions it made regarding the commercialization of a hereditary breast cancer diagnostic test. This case study examine the background to Myriad's decisions, the context in which these decisions were made and the policy, research and business response to them. PMID:20393310
NASA Astrophysics Data System (ADS)
Tweddle, J. F.; Byg, A.; Davies, I.; Gubbins, M.; Irvine, K.; Kafas, A.; Kenter, J.; MacDonald, A.; Murray, R. B. O.; Potts, T.; Slater, A. M.; Wright, K.; Scott, B. E.
2016-02-01
The marine environment is under increasing use, putting pressure on marine ecosystems and increasing competition for space. New activities (e.g. renewable energy developments), evolving marine policies (e.g. implementation of marine protected areas), and climate change may drive changes in biodiversity and resulting ecosystem services (ES) that society and business utilise from coastal and marine systems. A process is needed that integrates ecological assessment of changes with stakeholder perceptions and valuation of ES, whilst balancing ease of application with the ability to deal with complex social-economic-ecological issues. The project "Cooperative participatory assessment of the impact of renewable technology on ecosystem services: CORPORATES" involved natural and social scientists, law and policy experts, and marine managers, with the aim of promoting more integrated decision making using ES concepts in marine management. CORPORATES developed a process to bring ES concepts into stakeholders' awareness. The interactive process, involving 2 workshops, employs interludes of knowledge exchange by experts on ecological processes underpinning ES and on law and policy. These enable mapping of benefits linked to activities, participatory system modelling, and deliberation of policy impacts on different sectors. The workshops were attended by industry representatives, regulatory/advisory partners, and other stakeholders (NGOs, SMEs, recreationalists, local government). Mixed sector groups produced new insights into links between activities and ES, and highlighted cross-sector concerns. Here we present the aspects of the process that successfully built shared understanding between industry and stakeholders of inter-linkages and interactions between ES, benefits, activities, and economic and cultural values. These methods provide an ES-based decision-support model for exchanging societal-ecological knowledge and providing stakeholder interaction in marine planning, supporting ecosystem-based management.
NASA Astrophysics Data System (ADS)
Tweddle, J. F.; Byg, A.; Davies, I.; Gubbins, M.; Irvine, K.; Kafas, A.; Kenter, J.; MacDonald, A.; Murray, R. B. O.; Potts, T.; Slater, A. M.; Wright, K.; Scott, B. E.
2016-12-01
The marine environment is under increasing use, putting pressure on marine ecosystems and increasing competition for space. New activities (e.g. renewable energy developments), evolving marine policies (e.g. implementation of marine protected areas), and climate change may drive changes in biodiversity and resulting ecosystem services (ES) that society and business utilise from coastal and marine systems. A process is needed that integrates ecological assessment of changes with stakeholder perceptions and valuation of ES, whilst balancing ease of application with the ability to deal with complex social-economic-ecological issues. The project "Cooperative participatory assessment of the impact of renewable technology on ecosystem services: CORPORATES" involved natural and social scientists, law and policy experts, and marine managers, with the aim of promoting more integrated decision making using ES concepts in marine management. CORPORATES developed a process to bring ES concepts into stakeholders' awareness. The interactive process, involving 2 workshops, employs interludes of knowledge exchange by experts on ecological processes underpinning ES and on law and policy. These enable mapping of benefits linked to activities, participatory system modelling, and deliberation of policy impacts on different sectors. The workshops were attended by industry representatives, regulatory/advisory partners, and other stakeholders (NGOs, SMEs, recreationalists, local government). Mixed sector groups produced new insights into links between activities and ES, and highlighted cross-sector concerns. Here we present the aspects of the process that successfully built shared understanding between industry and stakeholders of inter-linkages and interactions between ES, benefits, activities, and economic and cultural values. These methods provide an ES-based decision-support model for exchanging societal-ecological knowledge and providing stakeholder interaction in marine planning, supporting ecosystem-based management.
Multi-Sector Sustainability Browser (MSSB) User Manual: A ...
EPA’s Sustainable and Healthy Communities (SHC) Research Program is developing methodologies, resources, and tools to assist community members and local decision makers in implementing policy choices that facilitate sustainable approaches in managing their resources affecting the built environment, natural environment, and human health. In order to assist communities and decision makers in implementing sustainable practices, EPA is developing computer-based systems including models, databases, web tools, and web browsers to help communities decide upon approaches that support their desired outcomes. Communities need access to resources that will allow them to achieve their sustainability objectives through intelligent decisions in four key sustainability areas: • Land Use • Buildings and Infrastructure • Transportation • Materials Management (i.e., Municipal Solid Waste [MSW] processing and disposal) The Multi-Sector Sustainability Browser (MSSB) is designed to support sustainable decision-making for communities, local and regional planners, and policy and decision makers. Document is an EPA Technical Report, which is the user manual for the Multi-Sector Sustainability Browser (MSSB) tool. The purpose of the document is to provide basic guidance on use of the tool for users
Adaptation Planning for Water Resources Management in the Context of Scientific Uncertainty
NASA Astrophysics Data System (ADS)
Lowrey, J.; Kenney, D.
2008-12-01
Several municipalities are beginning to create policies and plans in order to adapt to potential impacts from climate change. A 2007 report from the Heinz Center for Science, Economics, and the Environment, 'A Survey of Climate Change Adaptation Planning,' surveyed fourteen cities or counties across the U.S. and Canada that have created or are working towards creating climate change adaptation plans. Informal interactions with water managers in the Intermountain West indicate an eagerness to learn from those who have already begun adapting to potential climate change. Many of those without plans do not feel comfortable making potentially expensive long-term policy decisions based on impacts derived from uncertain climate change projections. This research identifies how decision makers currently consider climate change in adaptation planning despite imperfect information about climate change impacts, particularly in the water sector. Insights are offered into how best to provide information on climate change projections to regional decision makers so that they can begin adaptation planning for a changing climate. This research analyzes how a subset of the fourteen municipalities justified adaptive planning in the face of scientific uncertainty, paying particular attention to water resource adaptation, using the adaptation approaches studied in the 2007 Heinz Center Report. Interviews will be conducted with decision makers to learn how policies will be implemented and evaluated, and to explore resulting changes in policy or planning. Adaptation strategies are not assessed, but are used to identify how the decision makers plan to evaluate their own adaptation policies. In addition to looking at information use in adaptation plans, we compare how the plans orient themselves (adapting to projected impacts vs. increasing resiliency to current climate variability), how they address barriers and opportunities for adaptation, and whether they follow some key steps for successful adaptation as outlined in the literature. This part of the study will identify any consensus among the municipalities already adapting, and see of the decision makers tend to agree with the points of views expressed in the literature. The conclusions here will not only help decision makers trying to adapt, but it will help researchers orient future research to the informational needs of the decision makers. The work is intended to provide useful information for the Western Water Assessment, a NOAA-funded research boundary organization, which provides climate information to water resource managers in the Intermountain West, including the Colorado River Basin.
Ettelt, Stefanie
2017-06-01
This article examines the role of scientific evidence in informing health policy decisions in Germany, using minimum volumes policy as a case study. It argues that scientific evidence was used strategically at various stages of the policy process both by individual corporatist actors and by the Federal Joint Committee as the regulator. Minimum volumes regulation was inspired by scientific evidence suggesting a positive relationship between service volume and patient outcomes for complex surgical interventions. Federal legislation was introduced in 2002 to delegate the selection of services and the setting of volumes to corporatist decision makers. Yet, despite being represented in the Federal Joint Committee, hospitals affected by its decisions took the Committee to court to seek legal redress and prevent policy implementation. Evidence has been key to support, and challenge, decisions about minimum volumes, including in court. The analysis of the role of scientific evidence in minimum volumes regulation in Germany highlights the dynamic relationship between evidence use and the political and institutional context of health policy making, which in this case is characterized by the legislative nature of policy making, corporatism, and the role of the judiciary in reviewing policy decisions. Copyright © 2017 by Stefanie Ettelt.
Xu, Xin; Huang, Zhenhua; Graves, Daniel; Pedrycz, Witold
2014-12-01
In order to deal with the sequential decision problems with large or continuous state spaces, feature representation and function approximation have been a major research topic in reinforcement learning (RL). In this paper, a clustering-based graph Laplacian framework is presented for feature representation and value function approximation (VFA) in RL. By making use of clustering-based techniques, that is, K-means clustering or fuzzy C-means clustering, a graph Laplacian is constructed by subsampling in Markov decision processes (MDPs) with continuous state spaces. The basis functions for VFA can be automatically generated from spectral analysis of the graph Laplacian. The clustering-based graph Laplacian is integrated with a class of approximation policy iteration algorithms called representation policy iteration (RPI) for RL in MDPs with continuous state spaces. Simulation and experimental results show that, compared with previous RPI methods, the proposed approach needs fewer sample points to compute an efficient set of basis functions and the learning control performance can be improved for a variety of parameter settings.
Barriers to electric energy efficiency in Ghana
NASA Astrophysics Data System (ADS)
Berko, Joseph Kofi, Jr.
Development advocates argue that sustainable development strategies are the best means to permanently improve living standards in developing countries. Advocates' arguments are based on the technical, financial, and environmental advantages of sustainable development. However, they have not addressed the organizational and administrative decision-making issues which are key to successful implementation of sustainable development in developing countries. Using the Ghanaian electricity industry as a case study, this dissertation identifies and analyzes organizational structures, administrative mechanisms, and decision-maker viewpoints that critically affect the success of adoption and implementation of energy efficiency within a sustainable development framework. Utilizing semi-structured interviews in field research, decision-makers' perceptions of the pattern of the industry's development, causes of the electricity supply shortfall, and barriers to electricity-use efficiency were identified. Based on the initial findings, the study formulated a set of policy initiatives to establish support for energy use efficiency. In a second set of interviews, these policy suggestions were presented to some of the top decision-makers to elicit their reactions. According to the decision-makers, the electricity supply shortfall is due to rapid urbanization and increased industrial consumption as a result of the structural adjustment program, rural electrification, and the sudden release of suppressed loads. The study found a lack of initiative and collaboration among industry decision-makers, and a related divergence in decision-makers' concerns and viewpoints. Also, lacking are institutional support systems and knowledge of proven energy efficiency strategies and technologies. As a result, planning, and even the range of perceived solutions to choose from are supply-side oriented. The final chapter of the study presents implications of its findings and proposes that any implementation strategy will have to address the different decision-makers' concerns and viewpoints. These include the need for national policies to promote electric energy efficiency and institutional development to provide support, guidance and direction to an energy efficiency effort. It also proposes structural changes within the industry to reduce government influence by creating an independent regulatory board. Finally, it proposes the adoption of integrated resource planning strategies and changes in the supply-side dominated culture within the electric utilities.
Arwal, Said Habib; Aulakh, Bhupinder Kaur; Bumba, Ahmed; Siddula, Akshita
2017-12-28
Researchers and policy-makers alike increasingly recognise the importance of engaging diverse perspectives in implementation research. This roundtable discussion presents the experiences and perspectives of three decision-makers regarding the benefits and challenges of their engagement in implementation research. The first perspective comes from a rural district medical officer from Uganda and touches on the success of using data as evidence in a low-resource setting. The second perspective is from an Afghani Ministry of Health expert who used a community-based approach to improving healthcare services in remote regions. Finally, the third perspective highlights the successes and trials of a policy-maker from India who offers advice on how to grow the relationship between decision-makers and researchers. Overall, the stakeholders in this roundtable discussion saw important benefits to their engagement in research. In order to facilitate greater engagement in the future, they advise on closer dialogue between researchers and policy-makers and supporting the development of capacity to stimulate and facilitate engagement in research and the use of evidence in decision-making.
Decision space for health workforce management in decentralized settings: a case study in Uganda.
Alonso-Garbayo, Alvaro; Raven, Joanna; Theobald, Sally; Ssengooba, Freddie; Nattimba, Milly; Martineau, Tim
2017-11-01
The aim of this paper is to improve understanding about how district health managers perceive and use their decision space for human resource management (HRM) and how this compares with national policies and regulatory frameworks governing HRM. The study builds upon work undertaken by PERFORM Research Consortium in Uganda using action-research to strengthen human resources management in the health sector. To assess the decision space that managers have in six areas of HRM (e.g. policy, planning, remuneration and incentives, performance management, education and information) the study compares the roles allocated by Uganda's policy and regulatory frameworks with the actual room for decision-making that district health managers perceive that they have. Results show that in some areas District Health Management Team (DHMT) members make decisions beyond their conferred authority while in others they do not use all the space allocated by policy. DHMT members operate close to the boundaries defined by public policy in planning, remuneration and incentives, policy and performance management. However, they make decisions beyond their conferred authority in the area of information and do not use all the space allocated by policy in the area of education. DHMTs' decision-making capacity to manage their workforce is influenced by their own perceived authority and sometimes it is constrained by decisions made at higher levels. We can conclude that decentralization, to improve workforce performance, needs to devolve power further down from district authorities onto district health managers. DHMTs need not only more power and authority to make decisions about their workforce but also more control over resources to be able to implement these decisions. © The Author 2017. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Hartley, Matt; Roberts, Helen
2015-09-01
Disease control management relies on the development of policy supported by an evidence base. The evidence base for disease in zoo animals is often absent or incomplete. Resources for disease research in these species are limited, and so in order to develop effective policies, novel approaches to extrapolating knowledge and dealing with uncertainty need to be developed. This article demonstrates how qualitative risk analysis techniques can be used to aid decision-making in circumstances in which there is a lack of specific evidence using the import of rabies-susceptible zoo mammals into the United Kingdom as a model.
An Introduction to Solar Decision-Making Tools
DOE Office of Scientific and Technical Information (OSTI.GOV)
Mow, Benjamin
2017-09-12
The National Renewable Energy Laboratory (NREL) offers a variety of models and analysis tools to help decision makers evaluate and make informed decisions about solar projects, policies, and programs. This fact sheet aims to help decision makers determine which NREL tool to use for a given solar project or policy question, depending on its scope.
User Oriented Techniques to Support Interaction and Decision Making with Large Educational Databases
ERIC Educational Resources Information Center
Hartley, Roger; Almuhaidib, Saud M. Y.
2007-01-01
Information Technology is developing rapidly and providing policy/decision makers with large amounts of information that require processing and analysis. Decision support systems (DSS) aim to provide tools that not only help such analyses, but enable the decision maker to experiment and simulate the effects of different policies and selection…
Farmar-Bowers, Quentin; Lane, Ruth
2009-02-01
The conservation of biodiversity is an important issue world wide and in Australia the maintenance of native biodiversity on farms makes an important contribution to overall conservation objectives. This paper seeks to explain Australian farmers' rationale for maintaining biodiversity on their farms for personal as opposed to business reasons by developing a decision-systems theory from in-depth interviews. This difference has implications for policy development. The decision-systems theory is divided into two main sections. The first section contains five parts. (1) A hierarchy of motivation stories, (2) the concept of suitability and availability of opportunities, (3) a hierarchy of three decision-systems, (4) the concept of personal career paths, (5) the concept of Lenses. The second section contains one part, a policy classification system called 'boxes of influence' that suggests how policy developers can use the information in the first section to develop new biodiversity conservation policy. The paper suggests that decision-systems theory could be used to shed new light on current trends in agriculture and become an important investigative tool for policy development concerning the conservation of biodiversity on farms.
Veillard, Jeremy; Huynh, Tai; Ardal, Sten; Kadandale, Sowmya; Klazinga, Niek S.; Brown, Adalsteinn D.
2010-01-01
This study examined the experience of the Ontario Ministry of Health and Long-Term Care in enhancing its stewardship and performance management role by developing a health system strategy map and a strategy-based scorecard through a process of policy reviews and expert consultations, and linking them to accountability agreements. An evaluation of the implementation and of the effects of the policy intervention has been carried out through direct policy observation over three years, document analysis, interviews with decision-makers and systematic discussion of findings with other authors and external reviewers. Cascading strategies at health and local health system levels were identified, and a core set of health system and local health system performance indicators was selected and incorporated into accountability agreements with the Local Health Integration Networks. despite the persistence of such challenges as measurement limitations and lack of systematic linkage to decision-making processes, these activities helped to strengthen substantially the ministry's performance management function. PMID:21286268
Uneke, Chigozie J; Ezeoha, Abel E; Ndukwe, Chinwendu D; Oyibo, Patrick G; Onwe, Friday
2010-08-01
Health policy and systems research (HPSR), which aims to produce reliable and rigorous evidence to inform the many critical decisions that must be made about health systems, is a new concept in Nigeria. In this study, policy makers and other stakeholders in the health sector identified the challenges and the potential intervention strategies to HPSR evidence use in policy making in Nigeria. The major challenges identified included capacity constraints at individual and organizational levels, communication gaps and poor networking between policy makers and researchers, and the non-involvement of healthcare recipients in identifying and planning care delivery needs. The main solutions suggested included promotion of strategies to encourage partnership between researchers and policy makers, improvement of staff incentives and facilities for research activities, improved budgetary provision for research, and sustainable institutional capacity development. These strategies have been shown to improve evidence-based policy making in developed countries and are likely to produce better outcomes in the developing world.
Uneke, Chigozie J.; Ezeoha, Abel E.; Ndukwe, Chinwendu D.; Oyibo, Patrick G.; Onwe, Friday
2010-01-01
Health policy and systems research (HPSR), which aims to produce reliable and rigorous evidence to inform the many critical decisions that must be made about health systems, is a new concept in Nigeria. In this study, policy makers and other stakeholders in the health sector identified the challenges and the potential intervention strategies to HPSR evidence use in policy making in Nigeria. The major challenges identified included capacity constraints at individual and organizational levels, communication gaps and poor networking between policy makers and researchers, and the non-involvement of healthcare recipients in identifying and planning care delivery needs. The main solutions suggested included promotion of strategies to encourage partnership between researchers and policy makers, improvement of staff incentives and facilities for research activities, improved budgetary provision for research, and sustainable institutional capacity development. These strategies have been shown to improve evidence-based policy making in developed countries and are likely to produce better outcomes in the developing world. PMID:21804832
Healthcare resource allocation decisions affecting uninsured services
Harrison, Krista Lyn; Taylor, Holly A.
2017-01-01
Purpose Using the example of community access programs (CAPs), the purpose of this paper is to describe resource allocation and policy decisions related to providing health services for the uninsured in the USA and the organizational values affecting these decisions. Design/methodology/approach The study used comparative case study methodology at two geographically diverse sites. Researchers collected data from program documents, meeting observations, and interviews with program stakeholders. Findings Five resource allocation or policy decisions relevant to providing healthcare services were described at each site across three categories: designing the health plan, reacting to funding changes, and revising policies. Organizational values of access to care and stewardship most frequently affected resource allocation and policy decisions, while economic and political pressures affect the relative prioritization of values. Research limitations/implications Small sample size, the potential for social desirability or recall bias, and the exclusion of provider, member or community perspectives beyond those represented among participating board members. Practical implications Program directors or researchers can use this study to assess the extent to which resource allocation and policy decisions align with organizational values and mission statements. Social implications The description of how healthcare decisions are actually made can be matched with literature that describes how healthcare resource decisions ought to be made, in order to provide a normative grounding for future decisions. Originality/value This study addresses a gap in literature regarding how CAPs actually make resource allocation decisions that affect access to healthcare services. PMID:27934550
DOE Office of Scientific and Technical Information (OSTI.GOV)
Makundi, Willy R.
2002-09-20
What constitutes 'dangerous anthropogenic interference' is a value judgment arrived at through a socio-political process, taking issues like equity and sustainability into account. Science provides key information needed to arrive at an informed judgment. However, that judgment is primarily a political one, and not a purely scientific decision. Such judgments are based on risk assessment, and lead to risk management choices by decision makers, about actions and policies.
ERIC Educational Resources Information Center
Traynor, Robyn; Dobbins, Maureen; DeCorby, Kara
2015-01-01
The investment of decision makers in research can increase the likelihood that relevant and timely practice-based research questions are asked and that these findings are readily taken up into policy and practice. While many positive benefits may be gained from this type of research, various challenges may also arise along the way. These include:…
Mossman, Kenneth L
2009-08-01
Standard-setting agencies such as the U.S. Nuclear Regulatory Commission and the U.S. Environmental Protection Agency depend on advice from external expert advisory groups on matters of public policy and standard-setting. Authoritative bodies including the National Research Council and the National Council on Radiation Protection and Measurements provide analyses and recommendations that enable the technical and scientific soundness in decision-making. In radiological protection the nature of the scientific evidence is such that risk assessment at radiation doses typically encountered in environmental and occupational settings is highly uncertain, and several policy alternatives are scientifically defensible. The link between science and policy is problematic. The fundamental issue is the failure to properly consider risk assessment, risk communication, and risk management and then consolidate them in a process that leads to sound policy. Authoritative bodies should serve as unbiased brokers of policy choices by providing balanced and objective scientific analyses. As long as the policy-decision environment is characterized by high scientific uncertainty and a lack of values consensus, advisory groups should present unbiased evaluations of all scientifically plausible alternatives and recommend selection criteria that decision makers can use in the policy-setting process. To do otherwise (e.g., by serving as single position advocates) weakens decision-making by eliminating options and narrowing discussions of scientific perspectives. Understanding uncertainties and the limitations on available scientific information and conveying such information to policy makers remain key challenges for the technical and policy communities.
The fallacy of financial heuristics.
Langabeer, James
2007-01-01
In turbulent times, the financial policies and decisions about cash and debt make or break hospitals' financial condition. Decisions about whether to continue saving cash or reduce debt burdens are probably the most vital policy decision for the hospital CFO. Unfortunately, my research shows that most administrators are relying on judgment, or best-guess heuristics to address these policy issues. This article explores one of the most common heuristics in health finance-ratios gauging debt and cash on hand. The subject is explored through the research and analysis of over 40 hospitals in a very competitive marketplace-the boroughs of New York City. Analyses of financial strength, through various statistical models, were conducted to explore the linkages between traditional heuristics and long-term economic results. Data were collected for 30 operational and financial indicators. Findings suggest that organizations require different cash-debt positions based on their overall financial health, and that a one-number heuristic does not fit all. Extremely financially constrained hospitals (those approaching bankruptcy conditions) should be building free cash flow and minimizing debt service, while financially secure hospitals need to minimize cash on hand while reducing debt. If all hospitals continue to try to meet an arbitrary days of cash heuristic, this simplification could cripple an organization. A much more effective metric requires each organization to model decisions more comprehensively.
Toward the modelling of safety violations in healthcare systems.
Catchpole, Ken
2013-09-01
When frontline staff do not adhere to policies, protocols, or checklists, managers often regard these violations as indicating poor practice or even negligence. More often than not, however, these policy and protocol violations reflect the efforts of well intentioned professionals to carry out their work efficiently in the face of systems poorly designed to meet the diverse demands of patient care. Thus, non-compliance with institutional policies and protocols often signals a systems problem, rather than a people problem, and can be influenced among other things by training, competing goals, context, process, location, case complexity, individual beliefs, the direct or indirect influence of others, job pressure, flexibility, rule definition, and clinician-centred design. Three candidates are considered for developing a model of safety behaviour and decision making. The dynamic safety model helps to understand the relationship between systems designs and human performance. The theory of planned behaviour suggests that intention is a function of attitudes, social norms and perceived behavioural control. The naturalistic decision making paradigm posits that decisions are based on a wider view of multiple patients, expertise, systems complexity, behavioural intention, individual beliefs and current understanding of the system. Understanding and predicting behavioural safety decisions could help us to encourage compliance to current processes and to design better interventions.
Feig, Chiara; Cheung, Kei Long; Hiligsmann, Mickaël; Evers, Silvia M A A; Simon, Judit; Mayer, Susanne
2018-04-01
Although Health Technology Assessment (HTA) is increasingly used to support evidence-based decision-making in health care, several barriers and facilitators for the use of HTA have been identified. This best-worst scaling (BWS) study aims to assess the relative importance of selected barriers and facilitators of the uptake of HTA studies in Austria. A BWS object case survey was conducted among 37 experts in Austria to assess the relative importance of HTA barriers and facilitators. Hierarchical Bayes estimation was applied, with the best-worst count analysis as sensitivity analysis. Subgroup analyses were also performed on professional role and HTA experience. The most important barriers were 'lack of transparency in the decision-making process', 'fragmentation', 'absence of appropriate incentives', 'no explicit framework for decision-making process', and 'insufficient legal support'. The most important facilitators were 'transparency in the decision-making process', 'availability of relevant HTA research for policy makers', 'availability of explicit framework for decision-making process', 'sufficient legal support', and 'appropriate incentives'. This study suggests that HTA barriers and facilitators related to the context of decision makers, especially 'policy characteristics' and 'organization and resources' are the most important in Austria. A transparent and participatory decision-making process could improve the adoption of HTA evidence.
ERIC Educational Resources Information Center
Papa, Frank, Jr.; Baxter, Iris A.
2005-01-01
There hasn't been enough studies providing systematic, policy-relevant information about the career choices of school leaders and prospective school leaders on which to base some important policy decisions. Here, Papa and Baxter provide information on these issues by analyzing a panel data set of New York State public school employees that…
The future of health technology assessment in healthcare decision making in Asia.
Yang, Bong-Min
2009-01-01
Most countries have healthcare resource constraints and it is easy to identify new health technologies as an area in need of resource management, particularly given that new health technologies usually increase rather than save costs. Resource constraints are even more noticeable in Asia than in other regions, with a comparatively greater speed of population aging and the development of health security systems. The healthcare industry and policy makers in Asia generally understand that rationing in healthcare delivery is inevitable and have come to accept health technology assessment (HTA) as a policy option. The HTA policy framework is slowly penetrating Asia; South Korea was the first country to regulate the use of pharmacoeconomic evidence in drug reimbursement decision making. The South Korean HTA policy was initially a surprise in Asia in that the policy was suddenly introduced with a short period of preparation, but industry, researchers and policy makers both in- and outside of South Korea have come to accept it as necessary and logical. Thailand and Taiwan have also taken steps towards using pharmacoeconomic evidence in HTA, while other Asian countries are planning to implement such policies. However, it could be some time before a legitimate pharmacoeconomic-based HTA policy is actually implemented in each country, and the course of action will vary depending on the policy culture, healthcare system and public trust in bureaucracy of each country.
Taylor-Robinson, David C; Milton, Beth; Lloyd-Williams, Ffion; O'Flaherty, Martin; Capewell, Simon
2008-01-01
Background In order to better understand factors that influence decisions for public health, we undertook a qualitative study to explore issues relating to the time horizons used in decision-making. Methods Qualitative study using semi-structured interviews. 33 individuals involved in the decision making process around coronary heart disease were purposively sampled from the UK National Health Service (national, regional and local levels), academia and voluntary organizations. Analysis was based on the framework method using N-VIVO software. Interviews were transcribed, coded and emergent themes identified. Results Many participants suggested that the timescales for public health decision-making are too short. Commissioners and some practitioners working at the national level particularly felt constrained in terms of planning for the long-term. Furthermore respondents felt that longer term planning was needed to address the wider determinants of health and to achieve societal level changes. Three prominent 'systems' issues were identified as important drivers of short term thinking: the need to demonstrate impact within the 4 year political cycle; the requirement to 'balance the books' within the annual commissioning cycle and the disruption caused by frequent re-organisations within the health service. In addition respondents suggested that the tools and evidence base for longer term planning were not well established. Conclusion Many public health decision and policy makers feel that the timescales for decision-making are too short. Substantial systemic barriers to longer-term planning exist. Policy makers need to look beyond short-term targets and budget cycles to secure investment for long-term improvement in public health. PMID:19094194
Taylor-Robinson, David C; Milton, Beth; Lloyd-Williams, Ffion; O'Flaherty, Martin; Capewell, Simon
2008-12-18
In order to better understand factors that influence decisions for public health, we undertook a qualitative study to explore issues relating to the time horizons used in decision-making. Qualitative study using semi-structured interviews. 33 individuals involved in the decision making process around coronary heart disease were purposively sampled from the UK National Health Service (national, regional and local levels), academia and voluntary organizations. Analysis was based on the framework method using N-VIVO software. Interviews were transcribed, coded and emergent themes identified. Many participants suggested that the timescales for public health decision-making are too short. Commissioners and some practitioners working at the national level particularly felt constrained in terms of planning for the long-term. Furthermore respondents felt that longer term planning was needed to address the wider determinants of health and to achieve societal level changes. Three prominent 'systems' issues were identified as important drivers of short term thinking: the need to demonstrate impact within the 4 year political cycle; the requirement to 'balance the books' within the annual commissioning cycle and the disruption caused by frequent re-organisations within the health service. In addition respondents suggested that the tools and evidence base for longer term planning were not well established. Many public health decision and policy makers feel that the timescales for decision-making are too short. Substantial systemic barriers to longer-term planning exist. Policy makers need to look beyond short-term targets and budget cycles to secure investment for long-term improvement in public health.
Using Decision Analysis to Improve Malaria Control Policy Making
Kramer, Randall; Dickinson, Katherine L.; Anderson, Richard M.; Fowler, Vance G.; Miranda, Marie Lynn; Mutero, Clifford M.; Saterson, Kathryn A.; Wiener, Jonathan B.
2013-01-01
Malaria and other vector-borne diseases represent a significant and growing burden in many tropical countries. Successfully addressing these threats will require policies that expand access to and use of existing control methods, such as insecticide-treated bed nets and artemesinin combination therapies for malaria, while weighing the costs and benefits of alternative approaches over time. This paper argues that decision analysis provides a valuable framework for formulating such policies and combating the emergence and re-emergence of malaria and other diseases. We outline five challenges that policy makers and practitioners face in the struggle against malaria, and demonstrate how decision analysis can help to address and overcome these challenges. A prototype decision analysis framework for malaria control in Tanzania is presented, highlighting the key components that a decision support tool should include. Developing and applying such a framework can promote stronger and more effective linkages between research and policy, ultimately helping to reduce the burden of malaria and other vector-borne diseases. PMID:19356821
Economic Evaluation of Environmental Health Interventions to Support Decision Making
Hutton, Guy
2008-01-01
Environmental burden of disease represents one quarter of overall disease burden, hence necessitating greater attention from decision makers both inside and outside the health sector. Economic evaluation techniques such as cost-effectiveness analysis and cost-benefit analysis provide key information to health decision makers on the efficiency of environmental health interventions, assisting them in choosing interventions which give the greatest social return on limited public budgets and private resources. The aim of this article is to review economic evaluation studies in three environmental health areas—water, sanitation, hygiene (WSH), vector control, and air pollution—and to critically examine the policy relevance and scientific quality of the studies for selecting and funding public programmers. A keyword search of Medline from 1990–2008 revealed 32 studies, and gathering of articles from other sources revealed a further 18 studies, giving a total of 50 economic evaluation studies (13 WSH interventions, 16 vector control and 21 air pollution). Overall, the economic evidence base on environmental health interventions remains relatively weak—too few studies per intervention, of variable scientific quality and from diverse locations which limits generalisability of findings. Importantly, there still exists a disconnect between economic research, decision making and programmer implementation. This can be explained by the lack of translation of research findings into accessible documentation for policy makers and limited relevance of research findings, and the often low importance of economic evidence in budgeting decisions. These findings underline the importance of involving policy makers in the defining of research agendas and commissioning of research, and improving the awareness of researchers of the policy environment into which their research feeds. PMID:21572840
Ethical, legal, and social issues: our children's future.
Gilbert, Steven G
2005-08-01
A convergence of issues suggests that protecting child health is not so much a matter of research, but rather a matter of policy and advocacy. First, we have well-articulated views of a vision for child health. Second, we have experience and toxicological research findings demonstrating the adverse health effects of hazardous chemicals on children and recognize that children are more sensitive than adults to chemical exposures. Results from toxicology research have motivated many regulatory and legal actions, and public policy decisions, including the banning of some pesticides, reducing exposures in the workplace, and lowering of acceptable blood lead levels in children. We also know that childhood disabilities from chemical exposure during developmental are often not treatable and therefore must be prevented. Finally, we have an increasingly well-defined framework for discussing social and ethical responsibility to our children. New discoveries in the basic biological and toxicological sciences have challenged our bioethical thinking and societal decision-making. This paper will explore the ethical, legal, and social issues raised by the toxicological sciences first by examining some hard lesson learned about childhood effects of chemicals and then by examining the difficult policy and research decisions that must be made as we address our need for additional information about the health effects of chemicals on adults and children and the impact of having this information. The precautionary principle will be considered as an alternative decision-making approach as well as exploring the concept of the citizen toxicologist (CT). As Garrett Hardin pointed out many years ago, the problems we face often have no technical solutions, but rather require a policy-based approach. This paper will be of interest to the public and health professionals concerned about the broader impact of toxicological research on bioethical and societal decision-making.
Health technology assessment in India: the potential for improved healthcare decision-making.
Kumar, Mrityunjai; Ebrahim, Shah; Taylor, Fiona C; Chokshi, Maulik; Gabbay, John
2014-01-01
Health technology assessment (HTA) is a multidisciplinary approach that uses clinical effectiveness, cost-effectiveness, policy and ethical perspectives to provide evidence upon which rational decisions on the use of health technologies can be made. It can be used for a single stand-alone technology (e.g. a drug, a device), complex interventions (e.g. a rehabilitation service) and can also be applied to individual patient care and to public health. It is a tool for enabling the assessment and comparison of health technologies using the same metric of cost-effectiveness. This process benefits the patient, the health service, the healthcare payer and the technology producer as only technologies that are considered cost-effective are promoted for widespread use. This leads to greater use of effective technologies and greater health gain. The decision-making process in healthcare in India is complex owing to multiplicity of organizations with overlapping mandates. Often the decision-making is not evidence-based and there is no mechanism of bridging the gap between evidence and policy. Elsewhere, HTA is a frequently used tool in informing policy decisions in both resource-rich and resource-poor countries. Despite national organizations producing large volumes of research and clinical guidelines, India has not yet introduced a formal HTA programme. The incremental growth in healthcare products, services, innovation in affordable medical devices and a move towards universal healthcare, needs to be underpinned with an evidencebase which focuses on effectiveness, safety, affordability and acceptability to maximize the benefits that can be gained with a limited healthcare budget. Establishing HTA as a formal process in India, independent of healthcare providers, funders and technology producers, together with a framework for linking HTA to policy-making, would help ensure that the population gets better access to appropriate healthcare in the future. Copyright 2014, NMJI.
UPM: unified policy-based network management
NASA Astrophysics Data System (ADS)
Law, Eddie; Saxena, Achint
2001-07-01
Besides providing network management to the Internet, it has become essential to offer different Quality of Service (QoS) to users. Policy-based management provides control on network routers to achieve this goal. The Internet Engineering Task Force (IETF) has proposed a two-tier architecture whose implementation is based on the Common Open Policy Service (COPS) protocol and Lightweight Directory Access Protocol (LDAP). However, there are several limitations to this design such as scalability and cross-vendor hardware compatibility. To address these issues, we present a functionally enhanced multi-tier policy management architecture design in this paper. Several extensions are introduced thereby adding flexibility and scalability. In particular, an intermediate entity between the policy server and policy rule database called the Policy Enforcement Agent (PEA) is introduced. By keeping internal data in a common format, using a standard protocol, and by interpreting and translating request and decision messages from multi-vendor hardware, this agent allows a dynamic Unified Information Model throughout the architecture. We have tailor-made this unique information system to save policy rules in the directory server and allow executions of policy rules with dynamic addition of new equipment during run-time.
NASA Astrophysics Data System (ADS)
Druckenmiller, M. L.
2017-12-01
There is growing recognition of the potential to advance science policy capacity within state legislatures, where there is most often a shortage of professional backgrounds in the natural sciences, technology, engineering, and medicine. Developing such capacity at the state level should be considered a vital component of any comprehensive national scale strategy to strengthen science informed governance. Toward this goal, the Center for Science and Technology Policy Research at the University of Colorado Boulder is leading a strategic planning process for a Science and Technology Policy Fellowship Program within the Colorado state legislature and executive branch agencies. The intended program will place PhD-level scientists and engineers in one-year placements with decision-makers to provide an in-house resource for targeted policy-relevant research. Fellows will learn the intricacies of the state policymaking process, be exposed to opportunities for science to inform decisions, and develop a deeper understanding of key science and technology topics in Colorado, including water resources, wildfire management, and energy. The program's ultimate goals are to help foster a decision-making arena informed by evidence-based information, to develop new leaders adept at bridging science and policymaking realms, and to foster governance that champions the role of science in society. Parallel to efforts in Colorado, groups from nine other states are preparing similar plans, providing opportunities to share approaches across states and to set the stage for increased science and technology input to state legislative agendas nationwide. Importantly, highly successful and sustainable models exist; the American Association for the Advancement of Science (AAAS) has implemented a federally based fellowship program for over 43 years and the California Council for Science and Technology (CCST) has directed a fellowship program for their state's legislature since 2009. AAAS and CCST are now serving as critical and leading partners in creating similar programs across the U.S.
NASA Astrophysics Data System (ADS)
Baisden, W. T.; Ellis, T.; Rissman, C.; Moore, C.; Matthews, A.
2016-12-01
Declines in New Zealand's freshwater quality have led to legislation - the 2014 National Policy Statement on Freshwater Management (NPS-FM) - which requires regional governments to set "objectives" and design policies accordingly. In most regions, increases in freshwater contaminants are derived largely from intensifying agriculture and come as nitrogen, phosphorous or sediment, or a combination thereof. Here, the development and application of N and O isotopes as natural tracers for nitrate is examined as a case study, in the context of a wider hierarchy of observations such as N concentrations, flow and broader hydrochemistry used for NPS-FM implementation. The analysis of N and O isotopes in nitrate provides specific information on sources and removal processes that cannot be obtained by other measurements. Yet, despite considerable development of the technical methodology and environment-specific interpretation, application of measurements has faced barriers. Many may be typical of science in a small advanced nation with a population of 4.5 million, but others are unique due to New Zealand's limited rural population base and large diversity in physical geography, as well as a unique economic reliance on highly productive pastoral agricultural systems. Seventeen different regional governments are empowered to regulate in ways consistent with local consultation and democracy within their catchment boundaries, but with limited resources to align highly technical observational data to policies and decisions, as well as supporting models. The resulting gaps in communication and technical capability combine with a diversity of approaches to pose both challenges and opportunities for development and application of hierarchical observation systems. Success appears to lie in ensuring decision frameworks can be `mapped', so that different frameworks can be compared, and the benefits of sophisticated observations understood directly in relation to influence on regional policy and on-farm management decisions.
Macnaughton, Eric; Nelson, Geoffrey; Goering, Paula
2013-04-01
An interesting question concerns how large-scale (mental) health services policy initiatives come into being, and the role of evidence within the decision-making process behind their origins. This paper illustrates the process by which motivation to address homelessness, in the context of the upcoming 2010 Vancouver Olympics, was leveraged into a pan-Canadian project including sites in Vancouver, Winnipeg, Toronto, Montreal and Moncton, New Brunswick. The aim of the initiative was to implement and evaluate an intervention, Housing First, to provide housing and support to previously homeless people with mental illness. This qualitative case study was conducted between December 2009 and December 2010, employing grounded theory, and drawing on archival documents and interviews with 19 key informants involved in the conception of the project. Overall, the findings affirm that policy-making does not follow a rational, linear process of knowledge translation/exchange (KTE) and implementation, whereby evidence-based "products" are brought forward to address objectively determined needs and then "placed into decision-making events" (Lomas, 2007, p. 130). Instead, evidence-based policy making should be understood within the much more complex context of "policy entrepreneurship" (Kingdon, 2003; Mintrom & Norman, 2009) which entails taking advantage of windows of opportunity, and helping to bring together the "streams" of problems, politics, and policy ideas (Kingdon, 2003). Copyright © 2013 Elsevier Ltd. All rights reserved.
Assessing Patient Participation in Health Policy Decision-Making in Cyprus
Souliotis, Kyriakos; Agapidaki, Eirini; Peppou, Lily Evangelia; Tzavara, Chara; Samoutis, George; Theodorou, Mamas
2016-01-01
Although the importance of patient participation in the design and evaluation of health programs and services is well-documented, there is scarcity of research with regard to patient association (PA) participation in health policy decision-making processes. To this end, the present study aimed to validate further a previously developed instrument as well as to investigate the degree of PA participation in health policy decision-making in Cyprus. A convenient sample of 114 patients-members of patients associations took part in the study. Participants were recruited from an umbrella organization, the Pancyprian Federation of Patient Associations and Friends (PFPA). PA participation in health policy decision-making was assessed with the Health Democracy Index (HDI), an original 8-item tool. To explore its psychometric properties, Cronbach α was computed as regards to its internal consistency, while its convergent validity was tested against a self-rated question enquiring about the degree of PA participation in health policy decision-making. The findings revealed that the HDI has good internal consistency and convergent validity. Furthermore, PAs were found to participate more in consultations in health-related organizations and the Ministry of Health (MoH) as well as in reforms or crucial decisions in health policy. Lower levels were documented with regard to participation in hospital boards, ethics committees in clinical trials and health technology assessment (HTA) procedures. Overall, PA participation levels were found to be lower than the mid-point of the scale. Targeted interventions aiming to facilitate patients’ involvement in health policy decision-making processes and to increase its impact are greatly needed in Cyprus. PMID:27694659
The Value of Information in Decision-Analytic Modeling for Malaria Vector Control in East Africa.
Kim, Dohyeong; Brown, Zachary; Anderson, Richard; Mutero, Clifford; Miranda, Marie Lynn; Wiener, Jonathan; Kramer, Randall
2017-02-01
Decision analysis tools and mathematical modeling are increasingly emphasized in malaria control programs worldwide to improve resource allocation and address ongoing challenges with sustainability. However, such tools require substantial scientific evidence, which is costly to acquire. The value of information (VOI) has been proposed as a metric for gauging the value of reduced model uncertainty. We apply this concept to an evidenced-based Malaria Decision Analysis Support Tool (MDAST) designed for application in East Africa. In developing MDAST, substantial gaps in the scientific evidence base were identified regarding insecticide resistance in malaria vector control and the effectiveness of alternative mosquito control approaches, including larviciding. We identify four entomological parameters in the model (two for insecticide resistance and two for larviciding) that involve high levels of uncertainty and to which outputs in MDAST are sensitive. We estimate and compare a VOI for combinations of these parameters in evaluating three policy alternatives relative to a status quo policy. We find having perfect information on the uncertain parameters could improve program net benefits by up to 5-21%, with the highest VOI associated with jointly eliminating uncertainty about reproductive speed of malaria-transmitting mosquitoes and initial efficacy of larviciding at reducing the emergence of new adult mosquitoes. Future research on parameter uncertainty in decision analysis of malaria control policy should investigate the VOI with respect to other aspects of malaria transmission (such as antimalarial resistance), the costs of reducing uncertainty in these parameters, and the extent to which imperfect information about these parameters can improve payoffs. © 2016 Society for Risk Analysis.
An examination of a voluntary policy model to effect ...
An examination of a voluntary policy model to effect behavioral change and influence interactions and decision-making in the freight sector An examination of a voluntary policy model to effect behavioral change and influence interactions and decision-making in the freight sector
Getting evidence into policy: The need for deliberative strategies?
Flitcroft, Kathy; Gillespie, James; Salkeld, Glenn; Carter, Stacy; Trevena, Lyndal
2011-04-01
Getting evidence into policy is notoriously difficult. In this empirical case study we used document analysis and key informant interviews to explore the Australian federal government's policy to implement a national bowel cancer screening programme, and the role of evidence in this policy. Our analysis revealed a range of institutional limitations at three levels of national government: within the health department, between government departments, and across the whole of government. These limitations were amplified by the pressures of the 2004 Australian federal election campaign. Traditional knowledge utilisation approaches, which rely principally on voluntarist strategies and focus on the individual, rather than the institutional level, are often insufficient to ensure evidence-based implementation. We propose three alternative models, based on deliberative strategies which have been shown to work in other settings: review of the evidence by a select group of experts whose independence is enshrined in legislation and whose imprimatur is required before policy can proceed; use of an advisory group of experts who consult widely with stakeholders and publish their review findings; or public discussion of the evidence by the media and community groups who act as more direct conduits to the decision-makers than researchers. Such deliberative models could help overcome the limitations on the use of evidence by embedding public review of evidence as the first step in the institutional decision-making processes. Copyright © 2011 Elsevier Ltd. All rights reserved.
Kamuya, Dorcas M; Molyneux, Catherine, S; Theobald, Sally
2017-01-01
There is a growing literature documenting the complex realities of consent processes in the field, and the negotiations and ethical dilemmas involved. Much has also been written about how gender and power shape household decision-making processes. However, these bodies of literature have rarely been brought together to inform research theory and practice in low-income settings. In this paper, qualitative research (observation, focus group discussions and interviews) were used alongside large clinical community-based studies conducted on the Kenyan Coast to explore how gender and power relations within households and communities and between fieldworkers and communities shape consent processes and interactions. This exploration is embedded in relevant literature and the implications for community-based health research policy and practice are considered. Across diverse forms of households, we observed significant consultation on whether or not to participate in research. Although men are typically described as household decision-makers, in practice, decision-making processes are often far more nuanced, with many women using their agency to control, sometimes subtly, the decisions made. Where decisions are made without adequately consulting women, many find strategies to exercise their choice, in ways that safeguard important relationships within households in the longer term. We also found that the gender of field staff who typically conduct research activities in the field, including consent processes, can influence household dynamics and decision-making processes with important implications for the science and ethics of research. It is essential that frontline field staff and their supervisors are aware of the complex and gendered realities of consent processes at household level, and their implications, and that they develop appropriate context-informed approaches that support ethical practice. PMID:29225935
WHO policy development processes for a new vaccine: case study of malaria vaccines.
Milstien, Julie; Cárdenas, Vicky; Cheyne, James; Brooks, Alan
2010-06-24
Recommendations from the World Health Organization (WHO) are crucial to inform developing country decisions to use, or not, a new intervention. This article analysed the WHO policy development process to predict its course for a malaria vaccine. The decision-making processes for one malaria intervention and four vaccines were classified through (1) consultations with staff and expert advisors to WHO's Global Malaria Programme (GMP) and Immunization, Vaccines and Biologicals Department (IVB); (2) analysis of the procedures and recommendations of the major policy-making bodies of these groups; (3) interviews with staff of partnerships working toward new vaccine availability; and (4) review and analyses of evidence informing key policy decisions. WHO policy formulation related to use of intermittent preventive treatment in infancy (IPTi) and the following vaccine interventions: Haemophilus influenzae type b conjugate vaccine (Hib), pneumococcal conjugate vaccine (PCV), rotavirus vaccine (RV), and human papillomavirus vaccine (HPV), five interventions which had relatively recently been through systematic WHO policy development processes as currently constituted, was analysed. Required information was categorized in three areas defined by a recent WHO publication on development of guidelines: safety and efficacy in relevant populations, implications for costs and population health, and localization of data to specific epidemiological situations. Data needs for a malaria vaccine include safety; the demonstration of efficacy in a range of epidemiological settings in the context of other malaria prevention interventions; and information on potential rebound in which disease increases subsequent to the intervention. In addition, a malaria vaccine would require attention to additional factors, such as costs and cost-effectiveness, supply and demand, impact of use on other interventions, and distribution issues. Although policy issues may be more complex for future vaccines, the lead-time between the date of product regulatory approval and a recommendation for its use in developing countries is decreasing. This study presents approaches to define in advance core data needs to support evidence-based decisions, to further decrease this lead-time, accelerating the availability of a malaria vaccine. Specific policy areas for which information should be collected are defined, including studying its use within the context of other malaria interventions.
Beyond evidence-based nursing: tools for practice.
Jutel, Annemarie
2008-05-01
This commentary shares my views of evidence-based nursing as a framework for practice, pointing out its limitations and identifying a wider base of appraisal tools required for making good clinical decisions. As the principles of evidence-based nursing take an increasingly greater hold on nursing education, policy and management, it is important to consider the range of other decision-making tools which are subordinated by this approach. This article summarizes nursing's simultaneous reliance on and critique of evidence-based practice (EBP) in a context of inadequate critical reasoning. It then provides an exemplar of the limitations of evidence-based practice and offers an alternative view of important precepts of decision-making. I identify means by which nurses can develop skills to engage in informed and robust critique of practices and their underpinning rationale. Nurses need to be able to locate and assess useful and reliable information for decision-making. This skill is based on a range of tools which include, but also go beyond EBP including: information literacy, humanities, social sciences, public health, statistics, marketing, ethics and much more. This essay prompts nursing managers to reflect upon whether a flurried enthusiasm to adopt EBP neglects other important decision-making skills which provide an even stronger foundation for robust nursing decisions.
Understanding user needs for carbon monitoring information
NASA Astrophysics Data System (ADS)
Duren, R. M.; Macauley, M.; Gurney, K. R.; Saatchi, S. S.; Woodall, C. W.; Larsen, K.; Reidmiller, D.; Hockstad, L.; Weitz, M.; Croes, B.; Down, A.; West, T.; Mercury, M.
2015-12-01
The objectives of the Understanding User Needs project for NASA's Carbon Monitoring System (CMS) program are to: 1) engage the user community and identify needs for policy-relevant carbon monitoring information, 2) evaluate current and planned CMS data products with regard to their value for decision making, and 3) explore alternative methods for visualizing and communicating carbon monitoring information and associated uncertainties to decision makers and other stakeholders. To meet these objectives and help establish a sustained link between science and decision-making we have established a multi-disciplinary team that combines expertise in carbon-cycle science, engineering, economics, and carbon management and policy. We will present preliminary findings regarding emerging themes and needs for carbon information that may warrant increased attention by the science community. We will also demonstrate a new web-based tool that offers a common framework for facilitating user evaluation of carbon data products from multiple CMS projects.
Melnick, Edward R; Genes, Nicholas G; Chawla, Neal K; Akerman, Meredith; Baumlin, Kevin M; Jagoda, Andy
2010-06-01
To influence physician practice behavior after implementation of a computerized clinical decision support system (CDSS) based upon the recommendations from the 2007 ACEP Clinical Policy on Syncope. This was a pre-post intervention with a prospective cohort and retrospective controls. We conducted a medical chart review of consecutive adult patients with syncope. A computerized CDSS prompting physicians to explain their decision-making regarding imaging and admission in syncope patients based upon ACEP Clinical Policy recommendations was embedded into the emergency department information system (EDIS). The medical records of 410 consecutive adult patients presenting with syncope were reviewed prior to implementation, and 301 records were reviewed after implementation. Primary outcomes were physician practice behavior demonstrated by admission rate and rate of head computed tomography (CT) imaging before and after implementation. There was a significant difference in admission rate pre- and post-intervention (68.1% vs. 60.5% respectively, p = 0.036). There was no significant difference in the head CT imaging rate pre- and post-intervention (39.8% vs. 43.2%, p = 0.358). There were seven physicians who saw ten or more patients during the pre- and post-intervention. Subset analysis of these seven physicians' practice behavior revealed a slight significant difference in the admission rate pre- and post-intervention (74.3% vs. 63.9%, p = 0.0495) and no significant difference in the head CT scan rate pre- and post-intervention (42.9% vs. 45.4%, p = 0.660). The introduction of an evidence-based CDSS based upon ACEP Clinical Policy recommendations on syncope correlated with a change in physician practice behavior in an urban academic emergency department. This change suggests emergency medicine clinical practice guideline recommendations can be incorporated into the physician workflow of an EDIS to enhance the quality of practice.
Optimal design and use of retry in fault tolerant real-time computer systems
NASA Technical Reports Server (NTRS)
Lee, Y. H.; Shin, K. G.
1983-01-01
A new method to determin an optimal retry policy and for use in retry of fault characterization is presented. An optimal retry policy for a given fault characteristic, which determines the maximum allowable retry durations to minimize the total task completion time was derived. The combined fault characterization and retry decision, in which the characteristics of fault are estimated simultaneously with the determination of the optimal retry policy were carried out. Two solution approaches were developed, one based on the point estimation and the other on the Bayes sequential decision. The maximum likelihood estimators are used for the first approach, and the backward induction for testing hypotheses in the second approach. Numerical examples in which all the durations associated with faults have monotone hazard functions, e.g., exponential, Weibull and gamma distributions are presented. These are standard distributions commonly used for modeling analysis and faults.
Guimarães, José Maria Ximenes; Jorge, Maria Salete Bessa; Maia, Regina Claudia Furtado; de Oliveira, Lucia Conde; Morais, Ana Patrícia Pereira; Lima, Marcos Paulo de Oliveira; Assis, Marluce Maria Araújo; dos Santos, Adriano Maia
2010-07-01
The article approaches the comprehension of professionals that act in the mental health area about the movement of construction of social participation in the health system of Fortaleza, Ceará State. The methodology adopted is based upon qualitative approach. The study was developed with semi-structured interviews with 17 mental health professionals of the city above mentioned. The empirical data was analyzed through the technique of thematic content analysis, where it was identified three cores of analysis: social participation as space of citizenship and policy formulation; oriented to attention of collective needs; and decision taking. The study reveals that social participation represents a possibility of amplifying X the relations between the Civil Society and the State, which makes possible the social intervention in proposals of the health policies. It is highlighted the right to health linked to the consolidation of democracy in the attention to the needs and collective edification.
Sharko, Marianne; Wilcox, Lauren; Hong, Matthew K; Ancker, Jessica S
2018-05-17
Medical privacy policies, which are clear-cut for adults and young children, become ambiguous during adolescence. Yet medical organizations must establish unambiguous rules about patient and parental access to electronic patient portals. We conducted a national interview study to characterize the diversity in adolescent portal policies across a range of institutions and determine the factors influencing decisions about these policies. Within a sampling framework that ensured diversity of geography and medical organization type, we used purposive and snowball sampling to identify key informants. Semi-structured interviews were conducted and analyzed with inductive thematic analysis, followed by a member check. We interviewed informants from 25 medical organizations. Policies established different degrees of adolescent access (from none to partial to complete), access ages (from 10 to 18 years), degrees of parental access, and types of information considered sensitive. Federal and state law did not dominate policy decisions. Other factors in the decision process were: technology capabilities; differing patient population needs; resources; community expectations; balance between information access and privacy; balance between promoting autonomy and promoting family shared decision-making; and tension between teen privacy and parental preferences. Some informants believed that clearer standards would simplify policy-making; others worried that standards could restrict high-quality polices. In the absence of universally accepted standards, medical organizations typically undergo an arduous decision-making process to develop teen portal policies, weighing legal, economic, social, clinical, and technological factors. As a result, portal access policies are highly inconsistent across the United States and within individual states.
Braithwaite, Susan S
1991-01-01
The anticruelty policy is a best-interests test for treatment plans including decisions to forgo life-sustaining therapy for certain incompetent patients. In connection with specific proposed therapy, the policy requires no reference to the patient's unknowable values, subjective experiences, or quality of life. The decision to undertake a treatment plan derives from the caregiver's knowledge of burdens and benefits of that treatment when used in caring for the competent or for those incompetents capable of growth or repair. The caregiver should weigh the potentially cruel effects of treatment against the likelihood of reducing suffering or encumbrance with the treatment. The terms "burden" and "benefit," in fact, are replaced by the terms "cruelty" and "beneficence," as the relevant opposing outcomes that must be weighed. Thus, the anticruelty policy shifts our scrutiny from experiences of the patient that we cannot evaluate to the proposed actions of the competent decision makers and caregivers. Notably, it is a protreatment policy when the goals of medicine are attainable; and it is an anticruelty policy when they are not. The policy does evaluate the world of the patient to the extent that it requires a judgment based upon external appearances about patient pleasure or happiness in living. It presumes to universalize larger societal values about cruelty, beneficence, compassionate concern for the helpless, and certain rights of individuals. And it presumes to universalize on the patient's behalf specific medical values about hopeless injury, timely death, the goals of medicine, and cruelty, which should remain open to societal discussion and revision. The presented definition of hopeless injury does not require brain death, coma, or persistent vegetative state. Specifically, the policy holds that death is timely for a patient with hopeless injury, and that prevention of death for such patients is not a goal of medicine but a cruelty.
de Oliveira, Ana Paula Cavalcante; Dussault, Gilles; Craveiro, Isabel
2017-03-23
Shortages of physicians in remote, rural and other underserved areas and lack of general practitioners limit access to health services. The aims of this article are to identify the challenges faced by policy and decision-makers in Portugal to guarantee the availability and geographic accessibility to physicians in the National Health Service and to describe and analyse their causes, the strategies to tackle them and their results. We also raise the issue of whether research evidence was used or not in the process of policy development. We analysed policy and technical documents, peer-reviewed papers and newspaper articles from 1995 to 2015 through a structured search of government websites, Portuguese online newspapers and PubMed and Virtual Health Library (Biblioteca Virtual em Saúde (BVS)) databases; key informants were consulted to validate and complement the documentary search. The challenges faced by decision-makers to ensure access to physicians were identified as a forecasted shortage of physicians, geographical imbalances and maldistribution of physicians by level of care. To date, no human resources for health policy has been formulated, in spite of most documents reviewed stating that it is needed. On the other hand, various isolated and ad hoc strategies have been adopted, such as incentives to choose family health as a specialty or to work in an underserved region and recruitment of foreign physicians through bilateral agreements. Health workforce research in Portugal is scarce, and therefore, policy decisions regarding the availability and accessibility of physicians are not based on evidence. The policy interventions described in this paper should be evaluated, which would be a good starting point to inform health workforce policy development.
Wilkinson, Katy; Lowe, Philip; Donaldson, Andrew
2010-01-01
For the past decade, the policy community/issue network typology of pressure group interaction has been used to explain policy outcomes and the policy-making process. To re-examine the validity of this typology, the paper focuses on the UK government's response to the 2001 Foot and Mouth Disease (FMD) crisis, and in particular the decision to pursue contiguous culling rather than vaccination to overcome the epidemic. Rather than illustrating the emergence of an issue network in agricultural policy, the decision-making process of the FMD outbreak demonstrates continuity with prior crises. In addition, the politicization of scientific expertise is identified as an emerging trend in crisis management. Policy framing is used to explain the impetus behind the contiguous cull decision, concluding that the legacy of previous policy choices conditioned the crisis response to a far greater degree than contemporaneous pressure group action.
NASA Astrophysics Data System (ADS)
Gerst, M.; Cox, M. E.; Laser, M.; Locke, K. A.; Kapuscinski, A. R.
2017-12-01
Policy- and decision-making at the food-energy-water (FEW) nexus entails additional complexities due to the multi-objective nature of FEW socio-technical systems: policies and decisions meant to improve one facet of the nexus might be less beneficial, or even detrimental, to achieving goals for other facets. In addition, implementing policies and decisions may be more difficult due to increasing coordination required among stakeholders across each nexus facet. We highlight these issues in an economic, material/energy flow, and institutional assessment of dairy farms that produce power from anaerobic digestion of cow manure. This socio-technical system is an example of an integrated food-energy system (IFES), which co-produces food and energy. In the case of dairy farms, water is also a significant consideration because cow manure, if improperly managed, can negatively impact water bodies. Our assessment asks the questions (i) of whether or not adopting an IFES improves farm resilience under potential economic and environment futures and (ii) how decisions, policies, and information can best be tailored to the FEW nexus. Our study consists of semi-structured interviews of 60 farms split between the US states of New York and Vermont, both of which have enacted policies to encourage digester adoption. Each interview asks farmers about their material and energy flows, costs, and decision-making process for adopting (or not) an anaerobic digester. In addition, farmers are asked questions about challenges and barriers they might have faced and future drivers of change. Preliminary results highlight important interactions between policy and decision-making. Foremost, an analysis of policy cohesion shows that environmental objectives cross sectors and governance levels, as state-level greenhouse gas mitigation policies interact with federal-level nutrient management policies. This form of potential policy incoherence may introduce additional problems that hinder digester adoption and operation because technology options might be constrained and information needs may be too great for farmer's to consider adopting a digester.
Code of Federal Regulations, 2010 CFR
2010-07-01
... decision-making reflect Army environmental values, such as compliance with environmental policy, laws, and... early as possible to avoid potential delays. (b) All Army decision-making that may impact the human... ENVIRONMENTAL ANALYSIS OF ARMY ACTIONS (AR 200-2) National Environmental Policy Act and the Decision Process...
NASA Astrophysics Data System (ADS)
Goldman, G. T.; Phartiyal, P.; Mulvey, K.
2016-12-01
Federal government officials often rely on the research and advice of scientists to inform their decision making around climate change and other complex topics. Decision makers, however, are constrained by the time and accessibility needed to obtain and incorporate scientific information. At the same time, scientists have limited capacity and incentive to devote significant time to communicating their science to decision makers. The Union of Concerned Scientists has employed several strategies to produce policy-relevant scientific work and to facilitate engagement between scientists and decision makers across research areas. This talk will feature lessons learned and key strategies for science-informed decision making around climate change and other areas of the geosciences. Case studies will include conducting targeted sea level rise studies to inform rulemaking at federal agencies, bringing science to policy discussions on hydraulic fracturing, and leveraging the voice of the scientific community on specific policy proposals around climate change disclosure of companies. Recommendations and lessons learned for producing policy-relevant science and effectively communicating it with decision makers will be offered.
The influence of professional values on the implementation of Aboriginal health policy.
Lloyd, Jane; Wise, Marilyn; Weeramanthri, Tarun; Nugus, Peter
2009-01-01
This article explores the role of professional values and the culture of the Australian health care system in facilitating and constraining the implementation of an Aboriginal health policy. Thirty-five semi-structured in-depth interviews were conducted in a case study on the implementation of the Northern Territory Preventable Chronic Disease Strategy (PCDS). PCDS included three major evidence-based components - primary prevention, early detection and better management. The research revealed that PCDS changed as it was implemented. The values of the medical and nursing professions favoured the implementation of the clinically-based component of PCDS - better management. But there was dissonance between the values of these dominant professional groups and the values and expertise in public health that were necessary to implement fully the primary prevention component of PCDS. While Aboriginal health workers have valuable knowledge and skills in this area, they were not accorded sufficient power and training to influence decision-making on priorities and resources, and were able to exercise only limited influence on the components of the PCDS that were implemented. The findings highlight the role that a myriad of values play in influencing which aspects of a policy are implemented by organizations and their agents. Comprehensive and equitable implementation of policy requires an investigation and awareness of different professional values, and an examination of whose voices will be privileged in the decision-making process. If the advances in developing evidence-based, culturally-appropriate and inclusive policy are to be translated into practice, then care needs to be taken to monitor and influence whose values are being included at what point in the policy implementation process.
A new decision sciences for complex systems.
Lempert, Robert J
2002-05-14
Models of complex systems can capture much useful information but can be difficult to apply to real-world decision-making because the type of information they contain is often inconsistent with that required for traditional decision analysis. New approaches, which use inductive reasoning over large ensembles of computational experiments, now make possible systematic comparison of alternative policy options using models of complex systems. This article describes Computer-Assisted Reasoning, an approach to decision-making under conditions of deep uncertainty that is ideally suited to applying complex systems to policy analysis. The article demonstrates the approach on the policy problem of global climate change, with a particular focus on the role of technology policies in a robust, adaptive strategy for greenhouse gas abatement.
Situating School District Resource Decision Making in Policy Context
ERIC Educational Resources Information Center
Spain, Angeline K.
2016-01-01
Decentralization and deregulation policies assume that local educational leaders make better resource decisions than state policy makers do. Conceptual models drawn from organizational theory, however, offer competing predictions about how district central office administrators are likely to leverage their professional expertise in devolved…
Filson, Darren; Oweis, Ahmed
2010-07-01
Court decisions in 1998 encouraged generic producers to pursue Paragraph IV patent challenges. A follow-up decision in 2000 marked the first successful challenge involving a blockbuster and brought further attention to this pathway for generic entry. We consider the impacts of these decisions on R&D-based startups, and we focus on the propensity to form alliances as a primary channel of impact. We find substantial negative impacts on alliance formation and firm value, and only the first event's impacts are restricted to small molecules. The results suggest that policy analyses in settings with R&D-based startups should consider impacts on alliance formation.
A multi-criteria decision aid methodology to design electric vehicles public charging networks
NASA Astrophysics Data System (ADS)
Raposo, João; Rodrigues, Ana; Silva, Carlos; Dentinho, Tomaz
2015-05-01
This article presents a new multi-criteria decision aid methodology, dynamic-PROMETHEE, here used to design electric vehicle charging networks. In applying this methodology to a Portuguese city, results suggest that it is effective in designing electric vehicle charging networks, generating time and policy based scenarios, considering offer and demand and the city's urban structure. Dynamic-PROMETHE adds to the already known PROMETHEE's characteristics other useful features, such as decision memory over time, versatility and adaptability. The case study, used here to present the dynamic-PROMETHEE, served as inspiration and base to create this new methodology. It can be used to model different problems and scenarios that may present similar requirement characteristics.
Representation or reason: consulting the public on the ethics of health policy.
Mullen, Caroline
2008-12-01
Consulting the public about the ethical approaches underlying health policies can seem an appealing means of addressing concerns about limited public participation in development of health policy. However ambiguity surrounds questions of whether, or how consultation can really contribute to more defensible decisions about ethical aspects of policy. This paper clarifies the role and limits of public consultation on ethics, beginning by separating different senses of defensibility in decisions on ethics. Defensibility of ethical decisions could be understood either in the sense of legitimacy in virtue of reflecting the opinions of the public whose interests are affected, or in the sense of being able to withstand and respond to challenges presented in ethical debate. The question then is whether there are forms of consultation which have the potential to realise more defensible decisions in either of these senses. Problems of adequately accounting for the views of those affected by policy decisions casts doubt on the plausibility of using consultation as a means of determining the opinions of the public. Consultation can have a role by bringing new ideas and challenges to debate, although it is uncertain whether this will increase the defensibility of any decision on ethics.
NASA Astrophysics Data System (ADS)
Zhang, Ding; Zhang, Yingjie
2017-09-01
A framework for reliability and maintenance analysis of job shop manufacturing systems is proposed in this paper. An efficient preventive maintenance (PM) policy in terms of failure effects analysis (FEA) is proposed. Subsequently, reliability evaluation and component importance measure based on FEA are performed under the PM policy. A job shop manufacturing system is applied to validate the reliability evaluation and dynamic maintenance policy. Obtained results are compared with existed methods and the effectiveness is validated. Some vague understandings for issues such as network modelling, vulnerabilities identification, the evaluation criteria of repairable systems, as well as PM policy during manufacturing system reliability analysis are elaborated. This framework can help for reliability optimisation and rational maintenance resources allocation of job shop manufacturing systems.
Ghandour, Rula; Shoaibi, Azza; Khatib, Rana; Abu Rmeileh, Niveen; Unal, Belgin; Sözmen, Kaan; Kılıç, Bülent; Fouad, Fouad; Al Ali, Radwan; Ben Romdhane, Habiba; Aissi, Wafa; Ahmad, Balsam; Capewell, Simon; Critchley, Julia; Husseini, Abdullatif
2015-01-01
To explore the feasibility of using a simple multi-criteria decision analysis method with policy makers/key stakeholders to prioritize cardiovascular disease (CVD) policies in four Mediterranean countries: Palestine, Syria, Tunisia and Turkey. A simple multi-criteria decision analysis (MCDA) method was piloted. A mixed methods study was used to identify a preliminary list of policy options in each country. These policies were rated by different policymakers/stakeholders against pre-identified criteria to generate a priority score for each policy and then rank the policies. Twenty-five different policies were rated in the four countries to create a country-specific list of CVD prevention and control policies. The response rate was 100% in each country. The top policies were mostly population level interventions and health systems' level policies. Successful collaboration between policy makers/stakeholders and researchers was established in this small pilot study. MCDA appeared to be feasible and effective. Future applications should aim to engage a larger, representative sample of policy makers, especially from outside the health sector. Weighting the selected criteria might also be assessed.
Tataw, David B
2014-01-01
This article describes and assesses the implications of policy decisions affecting health provider capacity in the Los Angeles County municipal safety-net health system from 1980 to 2000. Although never articulated in law or a county ordinance, the county pursued a sustained and discernable policy of cost reductions that affected capacity at King/Drew Medical Center from 1980 to 2000 without the input of beneficiaries or their advocates. Year after year, the county reduced personnel, supplies, and available beds either by reducing formal budgets or through operative actions of facility administrators that prevented the implementation of formally approved expenditures. This policy appears to have undermined the hospital system's mission of providing health services to at-risk populations with nowhere else to go. Decision making during the two decades under study revealed a decision-making pattern that challenged traditional models of policy decision making.
Ashford, Lori S.; Smith, Rhonda R.; De Souza, Roger-Mark; Fikree, Fariyal F.; Yinger, Nancy V.
2006-01-01
PROBLEM: Because researchers and policy-makers work in different spheres, policy decisions in the health arena are often not based on available scientific evidence. APPROACH: We describe a model that illustrates the policy process and how to work strategically to translate knowledge into policy actions. Several types of activity--agenda-setting, coalition building and policy learning--together can create a window of opportunity for policy change. LOCAL SETTING: Activities were undertaken as part of the Kenyan Ministry of Health's new decentralized planning-process. The objective was to ensure that the results of a national assessment of health services were used in the preparation of district-level health plans. RELEVANT CHANGES: Following the intervention, 70 district-level, evidence-based work plans were developed and approved by the Kenyan Ministry of Health. LESSONS LEARNED: Substantial investment and effort are needed to bring stakeholders together to work towards policy change. More in-depth evaluation of these efforts can aid understanding of how systematic approaches to policy change can be replicated elsewhere. PMID:16917657
ERIC Educational Resources Information Center
Sarina, Salima A.; Nukusheva, Aigul A.; Kalmagambetov, Kassym S.; Kumysbekova, Zhanara T.; Nesterova, Elena V.
2016-01-01
The article contains a comparative analysis of foreign arbitration courts' decisions, ensuring the reciprocity and public policy. The aim of the study is to explore such aspects as reciprocity and public policy of arbitration courts. The result is the view of the public policy, despite its apparent irrelevance in today's Kazakhstan, which is of…
Cooke, Steven J; Birnie-Gauvin, Kim; Lennox, Robert J; Taylor, Jessica J; Rytwinski, Trina; Rummer, Jodie L; Franklin, Craig E; Bennett, Joseph R; Haddaway, Neal R
2017-01-01
Policy development and management decisions should be based upon the best available evidence. In recent years, approaches to evidence synthesis, originating in the medical realm (such as systematic reviews), have been applied to conservation to promote evidence-based conservation and environmental management. Systematic reviews involve a critical appraisal of evidence, but studies that lack the necessary rigour (e.g. experimental, technical and analytical aspects) to justify their conclusions are typically excluded from systematic reviews or down-weighted in terms of their influence. One of the strengths of conservation physiology is the reliance on experimental approaches that help to more clearly establish cause-and-effect relationships. Indeed, experimental biology and ecology have much to offer in terms of building the evidence base that is needed to inform policy and management options related to pressing issues such as enacting endangered species recovery plans or evaluating the effectiveness of conservation interventions. Here, we identify a number of pitfalls that can prevent experimental findings from being relevant to conservation or would lead to their exclusion or down-weighting during critical appraisal in a systematic review. We conclude that conservation physiology is well positioned to support evidence-based conservation, provided that experimental designs are robust and that conservation physiologists understand the nuances associated with informing decision-making processes so that they can be more relevant.
Birnie-Gauvin, Kim; Lennox, Robert J.; Taylor, Jessica J.; Rytwinski, Trina; Rummer, Jodie L.; Franklin, Craig E.; Bennett, Joseph R.; Haddaway, Neal R.
2017-01-01
Abstract Policy development and management decisions should be based upon the best available evidence. In recent years, approaches to evidence synthesis, originating in the medical realm (such as systematic reviews), have been applied to conservation to promote evidence-based conservation and environmental management. Systematic reviews involve a critical appraisal of evidence, but studies that lack the necessary rigour (e.g. experimental, technical and analytical aspects) to justify their conclusions are typically excluded from systematic reviews or down-weighted in terms of their influence. One of the strengths of conservation physiology is the reliance on experimental approaches that help to more clearly establish cause-and-effect relationships. Indeed, experimental biology and ecology have much to offer in terms of building the evidence base that is needed to inform policy and management options related to pressing issues such as enacting endangered species recovery plans or evaluating the effectiveness of conservation interventions. Here, we identify a number of pitfalls that can prevent experimental findings from being relevant to conservation or would lead to their exclusion or down-weighting during critical appraisal in a systematic review. We conclude that conservation physiology is well positioned to support evidence-based conservation, provided that experimental designs are robust and that conservation physiologists understand the nuances associated with informing decision-making processes so that they can be more relevant. PMID:28835842
Watt, Amber M; Hiller, Janet E; Braunack-Mayer, Annette J; Moss, John R; Buchan, Heather; Wale, Janet; Riitano, Dagmara E; Hodgetts, Katherine; Street, Jackie M; Elshaug, Adam G
2012-10-22
Governments and other payers are yet to determine optimal processes by which to review the safety, effectiveness, and cost-effectiveness of technologies and procedures that are in active use within health systems, and rescind funding (partially or fully) from those that display poor profiles against these parameters. To further progress a disinvestment agenda, a model is required to support payers in implementing disinvestment in a transparent manner that may withstand challenge from vested interests and concerned citizens. Combining approaches from health technology assessment and deliberative democratic theory, this project seeks to determine if and how wide stakeholder engagement can contribute to improved decision-making processes, wherein the views of both vested and non-vested stakeholders are seen to contribute to informing policy implementation within a disinvestment context. Systematic reviews pertaining to illustrative case studies were developed and formed the evidence base for discussion. Review findings were presented at a series of deliberative, evidence-informed stakeholder engagements, including partisan (clinicians and consumers) and non-partisan (representative community members) stakeholders. Participants were actively facilitated towards identifying shared and dissenting perspectives regarding public funding policy for each of the case studies and developing their own funding models in response to the evidence presented. Policy advisors will subsequently be invited to evaluate disinvestment options based on the scientific and colloquial evidence presented to them, and to explore the value of this information to their decision-making processes with reference to disinvestment. Analysis of the varied outputs of the deliberative engagements will contribute to the methodological development around how to best integrate scientific and colloquial evidence for consideration by policy advisors. It may contribute to the legitimization of broad and transparent stakeholder engagement in this context. It is anticipated that decision making will benefit from the knowledge delivered through informed deliberation with engaged stakeholders, and this will be explored through interviews with key decision makers.
2012-01-01
Background Governments and other payers are yet to determine optimal processes by which to review the safety, effectiveness, and cost-effectiveness of technologies and procedures that are in active use within health systems, and rescind funding (partially or fully) from those that display poor profiles against these parameters. To further progress a disinvestment agenda, a model is required to support payers in implementing disinvestment in a transparent manner that may withstand challenge from vested interests and concerned citizens. Combining approaches from health technology assessment and deliberative democratic theory, this project seeks to determine if and how wide stakeholder engagement can contribute to improved decision-making processes, wherein the views of both vested and non-vested stakeholders are seen to contribute to informing policy implementation within a disinvestment context. Methods/design Systematic reviews pertaining to illustrative case studies were developed and formed the evidence base for discussion. Review findings were presented at a series of deliberative, evidence-informed stakeholder engagements, including partisan (clinicians and consumers) and non-partisan (representative community members) stakeholders. Participants were actively facilitated towards identifying shared and dissenting perspectives regarding public funding policy for each of the case studies and developing their own funding models in response to the evidence presented. Policy advisors will subsequently be invited to evaluate disinvestment options based on the scientific and colloquial evidence presented to them, and to explore the value of this information to their decision-making processes with reference to disinvestment. Discussion Analysis of the varied outputs of the deliberative engagements will contribute to the methodological development around how to best integrate scientific and colloquial evidence for consideration by policy advisors. It may contribute to the legitimization of broad and transparent stakeholder engagement in this context. It is anticipated that decision making will benefit from the knowledge delivered through informed deliberation with engaged stakeholders, and this will be explored through interviews with key decision makers. PMID:23088222
How to Assess Vulnerabilities of Water Policies to Global Change?
NASA Astrophysics Data System (ADS)
Kumar, A.; Haasnoot, M.; Weijs, S.
2017-12-01
Water managers are confronted with uncertainties arising from hydrological, societal, economical and political drivers. To manage these uncertainties two paradigms have been identified: top-down and bottom-up approaches. Top-down or prediction-based approaches use socio-economic scenarios together with a discrete set of GCM projections (often downscaled) to assess the expected impact of drivers and policies on water resource system through various hydrological and social systems models. Adaptation strategies to alleviate these impacts are then identified and tested against the scenarios. To address GCM and downscaling uncertainties, these approaches put more focus on climate predictions, rather than the decision problem itself. Triggered by the wish to have a more scenario-neutral approach and address downscaling uncertainties, recent analyses have been shifted towards vulnerability-based (bottom-up or decision-centric) approaches. They begin at the local scale by addressing socio-economic responses to climate, often involving stakeholder's input; identify vulnerabilities under a larger sample of plausible futures and evaluate sensitivity and robustness of possible adaptation options. Several bottom-up approaches have emerged so far and are increasingly recommended. Fundamentally they share several core ideas, however, subtle differences exist in vulnerability assessment, visualization tools for exploring vulnerabilities and computational methods used for identifying robust water policies. Through this study, we try to identify how these approaches are progressing, how the climate and non-climate uncertainties are being confronted and how to integrate existing and new tools. We find that choice of a method may depend on the number of vulnerability drivers identified and type of threshold levels (environmental conditions or policy objectives) defined. Certain approaches are suited well for assessing adaptive capacities, tipping points and sequencing of decisions. However, visualization of the vulnerability domain is still challenging if multiple drivers are present. New emerging tools are focused on generating synthetic scenarios, addressing multiple objectives, linking decision-making frameworks to adaptation pathways and communicating risks to the stakeholders.
ERIC Educational Resources Information Center
Perelman, Lewis J.; Bergquist, William H.
A 5-month project was undertaken at the Western Interstate Commission for Higher Education to do a preliminary study of the implications of growth policy for postsecondary education. The decision to focus on this level of education was based on the belief that the existing problems of growth and its limits have become too urgent to be left to…
ERIC Educational Resources Information Center
Whitehead, Clive
2008-01-01
The Seychelles, one of Britain's more remote Indian Ocean colonies, long suffered a totally inadequate system of schooling based mainly on the Roman Catholic mission. This article traces how education policy was challenged in the 1930s and changed in the 1940s. Emphasis is placed on the decisive role of the colonial governor in initiating and…
Roth, R L
1995-01-01
The United States Supreme Court agreed with the Secretary of Health and Human Services that Guernsey Memorial Hospital's advance refunding transaction costs would be subject to a medicare reimbursement policy that is not based upon generally accepted accounting principles. According to the sharp dissent in this case, this policy, set forth in a manual provision, contradicts federal regulations.
Bridging the gap between science and decision making.
von Winterfeldt, Detlof
2013-08-20
All decisions, whether they are personal, public, or business-related, are based on the decision maker's beliefs and values. Science can and should help decision makers by shaping their beliefs. Unfortunately, science is not easily accessible to decision makers, and scientists often do not understand decision makers' information needs. This article presents a framework for bridging the gap between science and decision making and illustrates it with two examples. The first example is a personal health decision. It shows how a formal representation of the beliefs and values can reflect scientific inputs by a physician to combine with the values held by the decision maker to inform a medical choice. The second example is a public policy decision about managing a potential environmental hazard. It illustrates how controversial beliefs can be reflected as uncertainties and informed by science to make better decisions. Both examples use decision analysis to bridge science and decisions. The conclusions suggest that this can be a helpful process that requires skills in both science and decision making.
Bridging the gap between science and decision making
von Winterfeldt, Detlof
2013-01-01
All decisions, whether they are personal, public, or business-related, are based on the decision maker’s beliefs and values. Science can and should help decision makers by shaping their beliefs. Unfortunately, science is not easily accessible to decision makers, and scientists often do not understand decision makers’ information needs. This article presents a framework for bridging the gap between science and decision making and illustrates it with two examples. The first example is a personal health decision. It shows how a formal representation of the beliefs and values can reflect scientific inputs by a physician to combine with the values held by the decision maker to inform a medical choice. The second example is a public policy decision about managing a potential environmental hazard. It illustrates how controversial beliefs can be reflected as uncertainties and informed by science to make better decisions. Both examples use decision analysis to bridge science and decisions. The conclusions suggest that this can be a helpful process that requires skills in both science and decision making. PMID:23940310
Code of Federal Regulations, 2010 CFR
2010-07-01
... data upon which to base national assessments and policy decisions. ... ambient air quality and for reporting ambient air quality data and related information. The monitoring criteria pertain to the following areas: (1) Quality assurance procedures for monitor operation and data...
Adapting American Policymaking to Overcome American Exceptionalism
2015-04-13
policies of the United States were due a portion of blame for motivating the attacks of 9/11. Whether due to self - referentialism , cultural centrism, or...for. However, a deep inward look toward the foreign policy framing and decision making process is necessary to adapt that policy and address the tension...inward look toward the foreign policy framing and decision making process is necessary to adapt that policy and address the tension between U.S
An optimal repartitioning decision policy
NASA Technical Reports Server (NTRS)
Nicol, D. M.; Reynolds, P. F., Jr.
1986-01-01
A central problem to parallel processing is the determination of an effective partitioning of workload to processors. The effectiveness of any given partition is dependent on the stochastic nature of the workload. The problem of determining when and if the stochastic behavior of the workload has changed enough to warrant the calculation of a new partition is treated. The problem is modeled as a Markov decision process, and an optimal decision policy is derived. Quantification of this policy is usually intractable. A heuristic policy which performs nearly optimally is investigated empirically. The results suggest that the detection of change is the predominant issue in this problem.
Older women public sector workers in Ireland: Decisions about retirement timing.
Léime, Áine Ní
2017-01-01
Older women workers' decision making around retirement is increasingly important given the increasing involvement of older women in paid employment. This article explores influences on the retirement decision making of older women workers in Ireland. It is based on a case study of 57 interviews with women in the Irish civil service exploring work-life decision making. It finds that retirement choices vary according to initial socioeconomic resources and/or life-course trajectories and are particularly affected by gendered caring norms, employment policy, job tenure, and place in organizational hierarchies. Those women with interrupted careers and low pay have fewer choices around retirement timing.
A dynamic simulation based water resources education tool.
Williams, Alison; Lansey, Kevin; Washburne, James
2009-01-01
Educational tools to assist the public in recognizing impacts of water policy in a realistic context are not generally available. This project developed systems with modeling-based educational decision support simulation tools to satisfy this need. The goal of this model is to teach undergraduate students and the general public about the implications of common water management alternatives so that they can better understand or become involved in water policy and make more knowledgeable personal or community decisions. The model is based on Powersim, a dynamic simulation software package capable of producing web-accessible, intuitive, graphic, user-friendly interfaces. Modules are included to represent residential, agricultural, industrial, and turf uses, as well as non-market values, water quality, reservoir, flow, and climate conditions. Supplementary materials emphasize important concepts and lead learners through the model, culminating in an open-ended water management project. The model is used in a University of Arizona undergraduate class and within the Arizona Master Watershed Stewards Program. Evaluation results demonstrated improved understanding of concepts and system interactions, fulfilling the project's objectives.
Duvall, Sandra; Irani, Laili; Compaoré, Cyrille; Sanon, Patrice; Bassonon, Dieudonne; Anato, Simplice; Agounke, Jeannine; Hodo, Ama; Kugbe, Yves; Chaold, Gertrude; Nigobora, Berry; MacInnis, Ron
2015-03-01
In Burkina Faso and Togo, key populations of men who have sex with men (MSM) and sex workers (SW) have a disproportionately higher HIV prevalence. This study analyzed the 2 countries' policies impacting MSM and SW; to what extent the policies and programs have been implemented; and the role of the enabling environment, country leadership, and donor support. The Health Policy Project's Policy Assessment and Advocacy Decision Model methodology was used to analyze policy and program documents related to key populations, conduct key informant interviews, and hold stakeholder meetings to validate the findings. Several policy barriers restrict MSM/SW from accessing services. Laws criminalizing MSM/SW, particularly anti-solicitation laws, result in harassment and arrests of even nonsoliciting MSM/SW. Policy gaps exist, including few MSM/SW-supportive policies and HIV prevention measures, e.g., lubricant not included in the essential medicines list. The needs of key populations are generally not met due to policy gaps around MSM/SW participation in decision-making and funding allocation for MSM/SW-specific programming. Misaligned policies, eg, contradictory informed consent laws and protocols, and uneven policy implementation, such as stockouts of sexually transmitted infection kits, HIV testing materials, and antiretrovirals, undermine evidence-based policies. Even in the presence of a supportive donor and political community, public stigma and discrimination (S&D) create a hostile enabling environment. Policies are needed to address S&D, particularly health care provider and law enforcement training, and to authorize, fund, guide, and monitor services for key populations. MSM/SW participation and development of operational guidelines can improve policy implementation and service uptake.
Assessing Patient Participation in Health Policy Decision-Making in Cyprus.
Souliotis, Kyriakos; Agapidaki, Eirini; Peppou, Lily Evangelia; Tzavara, Chara; Samoutis, George; Theodorou, Mamas
2016-06-20
Although the importance of patient participation in the design and evaluation of health programs and services is well-documented, there is scarcity of research with regard to patient association (PA) participation in health policy decision-making processes. To this end, the present study aimed to validate further a previously developed instrument as well as to investigate the degree of PA participation in health policy decision-making in Cyprus. A convenient sample of 114 patients-members of patients associations took part in the study. Participants were recruited from an umbrella organization, the Pancyprian Federation of Patient Associations and Friends (PFPA). PA participation in health policy decision-making was assessed with the Health Democracy Index (HDI), an original 8-item tool. To explore its psychometric properties, Cronbach α was computed as regards to its internal consistency, while its convergent validity was tested against a self-rated question enquiring about the degree of PA participation in health policy decision-making. The findings revealed that the HDI has good internal consistency and convergent validity. Furthermore, PAs were found to participate more in consultations in health-related organizations and the Ministry of Health (MoH) as well as in reforms or crucial decisions in health policy. Lower levels were documented with regard to participation in hospital boards, ethics committees in clinical trials and health technology assessment (HTA) procedures. Overall, PA participation levels were found to be lower than the mid-point of the scale. Targeted interventions aiming to facilitate patients' involvement in health policy decision-making processes and to increase its impact are greatly needed in Cyprus. © 2016 by Kerman University of Medical Sciences.
Knight, Gwenan M; Dharan, Nila J; Fox, Gregory J; Stennis, Natalie; Zwerling, Alice; Khurana, Renuka; Dowdy, David W
2016-01-01
The dominant approach to decision-making in public health policy for infectious diseases relies heavily on expert opinion, which often applies empirical evidence to policy questions in a manner that is neither systematic nor transparent. Although systematic reviews are frequently commissioned to inform specific components of policy (such as efficacy), the same process is rarely applied to the full decision-making process. Mathematical models provide a mechanism through which empirical evidence can be methodically and transparently integrated to address such questions. However, such models are often considered difficult to interpret. In addition, models provide estimates that need to be iteratively re-evaluated as new data or considerations arise. Using the case study of a novel diagnostic for tuberculosis, a framework for improved collaboration between public health decision-makers and mathematical modellers that could lead to more transparent and evidence-driven policy decisions for infectious diseases in the future is proposed. The framework proposes that policymakers should establish long-term collaborations with modellers to address key questions, and that modellers should strive to provide clear explanations of the uncertainty of model structure and outputs. Doing so will improve the applicability of models and clarify their limitations when used to inform real-world public health policy decisions. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.
Wonodi, C B; Privor-Dumm, L; Aina, M; Pate, A M; Reis, R; Gadhoke, P; Levine, O S
2012-05-01
The decision-making process to introduce new vaccines into national immunization programmes is often complex, involving many stakeholders who provide technical information, mobilize finance, implement programmes and garner political support. Stakeholders may have different levels of interest, knowledge and motivations to introduce new vaccines. Lack of consensus on the priority, public health value or feasibility of adding a new vaccine can delay policy decisions. Efforts to support country-level decision-making have largely focused on establishing global policies and equipping policy makers with the information to support decision-making on new vaccine introduction (NVI). Less attention has been given to understanding the interactions of policy actors and how the distribution of influence affects the policy process and decision-making. Social network analysis (SNA) is a social science technique concerned with explaining social phenomena using the structural and relational features of the network of actors involved. This approach can be used to identify how information is exchanged and who is included or excluded from the process. For this SNA of vaccine decision-making in Nigeria, we interviewed federal and state-level government officials, officers of bilateral and multilateral partner organizations, and other stakeholders such as health providers and the media. Using data culled from those interviews, we performed an SNA in order to map formal and informal relationships and the distribution of influence among vaccine decision-makers, as well as to explore linkages and pathways to stakeholders who can influence critical decisions in the policy process. Our findings indicate a relatively robust engagement of key stakeholders in Nigeria. We hypothesized that economic stakeholders and implementers would be important to ensure sustainable financing and strengthen programme implementation, but some economic and implementation stakeholders did not appear centrally on the map; this may suggest a need to strengthen the decision-making processes by engaging these stakeholders more centrally and earlier.
Evidence-Based Diabetes Prevention and Control Programs and Policies in Local Health Departments.
Zwald, Marissa; Elliott, Lindsay; Brownson, Ross C; Skala, Mahree
2015-12-01
The purpose of this study is to: (1) assess implementation of evidence-based programs and policies (EBPPs) related to diabetes prevention and control in local health departments, (2) assess feasibility of non-implemented diabetes prevention and control EBPPs, and (3) examine individual- and organizational-level factors associated with implementation of diabetes prevention and control EBPPs. An online survey was administered in January 2015 to key representatives of all local health departments in Missouri. Descriptive statistics were used to describe implementation and perceived feasibility of 20 diabetes prevention and control EBPPs. Logistic regression was used to examine the association between individual and organizational factors and diabetes prevention and control EBPP implementation. One hundred local health departments participated (89% response rate) in the online survey. Most frequently implemented diabetes-related EBPPs in local health departments included: nutrition education for agency or community members, increased fruit and vegetable access in community settings, and community-wide campaigns to promote physical activity. Increased encouragement to others in the department to use evidence-based decision making and agency incentives to help employees use evidence-based decision making were positively associated with implementation of diabetes prevention and control EBPPs. Local health departments are on the "front line" of public health, and this study demonstrates the important role these organizations play in implementing diabetes prevention and control EBPPs. Potential leverage points for more widespread adoption of diabetes-related EBPPs in local health departments include education about and encouragement of evidence-based decision making and organizational incentives for employees to integrate evidence-based decision making into their diabetes prevention and control activities. © 2015 The Author(s).
Evidence-based diabetes prevention and control programs and policies in local health departments
Zwald, Marissa; Elliott, Lindsay; Brownson, Ross C.; Skala, Mahree
2016-01-01
Purpose The purpose of this study is to: (1) assess implementation of evidence-based programs and policies (EBPPs) related to diabetes prevention and control in local health departments; (2) assess feasibility of non-implemented diabetes prevention and control EBPPs; and (3) examine individual- and organizational-level factors associated with implementation of diabetes prevention and control EBPPs. Methods An online survey was administered in January 2015 to key representatives of all local health departments in Missouri. Descriptive statistics were used to describe implementation and perceived feasibility of 20 diabetes prevention and control EBPPs. Logistic regression was used to examine the association between individual and organizational factors and diabetes prevention and control EBPP implementation. Results One hundred local health departments participated (89% response rate) in the online survey. Most frequently implemented diabetes-related EBPPs in local health departments included: nutrition education for agency or community members; increased fruit and vegetable access in community settings; and community-wide campaigns to promote physical activity. Increased encouragement to others in the department to use evidence-based decision making and agency incentives to help employees use evidence-based decision making were positively associated with implementation of diabetes prevention and control EBPPs. Conclusions Local health departments are the “front line” of public health and this study demonstrates the important role these organizations play in implementing diabetes prevention and control EBPPs. Potential leverage points for more widespread adoption of diabetes-related EBPPs in local health departments include education about and encouragement of evidence-based decision making and organizational incentives for employees to integrate evidence-based decision making into their diabetes prevention and control activities. PMID:26297714
Educational Goods and Values: A Framework for Decision Makers
ERIC Educational Resources Information Center
Brighouse, Harry; Ladd, Helen F.; Loeb, Susanna; Swift, Adam
2016-01-01
This article articulates a framework suitable for use when making decisions about education policy. Decision makers should establish what the feasible options are and evaluate them in terms of their contribution to the development, and distribution, of educational goods in children, balanced against the negative effect of policies on important…
ERIC Educational Resources Information Center
Rosen, Benson; Mericle, Mary F.
1979-01-01
Strong and weak policies on fair employment were equally effective in counteracting sex bias in selection decisions; however, lower starting salaries were recommended for females compared to males in the strong fair employment policy condition. (Author/IRT)
Comparing and Deciding: A Historical Note on Education Policy
ERIC Educational Resources Information Center
Magalhães, Justino
2013-01-01
This article provides a "lineage" of decisions related to education policy which takes comparison as its motive, knowledge and method. A conceptual chain of world system, internationalization, convergence in education and globalization is briefly outlined. The paper examines decision-making in education policy according to agreement,…
Cohen, Laura; Greer, Nancy; Berliner, Elise; Sprigle, Stephen
2013-11-01
This article, developed as background content for discussion during the Mobility Rehabilitation Engineering Research Center State of the Science Conference, reviews research surrounding wheeled mobility and seating (WMS) service delivery, discusses the challenges of improving clinical decision-making, and discusses research approaches used to study and improve health services in other practice areas that might be leveraged to develop the evidence base for WMS. Narrative literature review. An overview of existing research found general agreement across models of WMS service delivery but little high quality evidence to support the recommended approaches and few studies of the relationship between service delivery steps and individual patient outcomes. The definition of successful clinical decision-making is different for different stakeholders. Clinical decision-making should incorporate the best available evidence along with patient values, preferences, circumstances, and clinical expertise. To advance the evidence base for WMS service delivery, alternatives to randomized controlled trials should be considered and reliable and valid outcome measures developed. Technological advances offer tremendous opportunities for individuals with complex rehabilitation technology needs. However, with ongoing scrutiny of WMS service delivery there is an increased need for evidence to support the clinical decision-making process and to support evidence-based coverage policies for WMS services and technologies. An evidence base for wheeled mobility and seating services is an important component of the clinical decision-making process. At present, there is little evidence regarding essential components of the wheeled mobility and seating evaluation or the relationship between the evaluation process and patient outcomes. Many factors can confound this relationship and present challenges to research in this area. All stakeholders (i.e. clinicians, rehabilitation technology suppliers, manufacturers, researchers, payers, policy makers, and wheelchair users) need to work together to develop and support an evidence base for wheeled mobility and seating service delivery.
Five Policy Levers To Meet The Value Challenge In Cancer Care.
Callahan, Ryan; Darzi, Ara
2015-09-01
The burden of cancer on public finances is a serious concern for policy makers. More people are developing cancer, and as standards of care have risen, more are surviving and requiring longer-term care. Precision medicine promises better outcomes but demands commensurately higher payments for care. As both incidence and per case costs rise, we suggest that the task of expanding access to high-quality cancer care poses a "value challenge" that policies in many countries are inadequate to meet. Policy makers should respond with a new approach. We explore questions that policy makers will need to consider regarding objectives, barriers, and levers for policy development. We use transparency and accountability as cornerstones of a new approach to promote value-based decision making. Although barriers to advancing this agenda are formidable, we recommend that governments define common standards for value-based accounting; serve as information brokers for evidence development; pioneer value-based procurement of goods and services; engage in deliberative democracy in cancer care; and educate communities to facilitate knowledge sharing between communities of patients, their caretakers, and researchers. Project HOPE—The People-to-People Health Foundation, Inc.
Walker, Sarah Cusworth; Lyon, Aaron R; Aos, Steve; Trupin, Eric W
2017-01-01
As states increasingly establish the importance of evidence-based practice through policy and funding mandates, the definition of evidence-based practice can have a significant impact on investment decisions. Not meeting established criteria can mean a loss of funding for established programs and the implementation disruption of programs without a strong research base. Whether the definition of "evidence-based" is influenced by these high stakes contexts is an interesting question that can inform the larger field about the value and utility of evidence-based practice lists/inventories for disseminating knowledge. In this paper we review the development of the Washington State Inventory of Evidence-Based, Research-Based and Promising Practices as a case study for the process of defining evidence-based practice in a policy context. As part of this study we also present a comparison of other well-known evidence-based practice inventories and examine consistencies and differences in the process of identifying and developing program ratings.
Factors influencing malaria control policy-making in Kenya, Uganda and Tanzania.
Mutero, Clifford M; Kramer, Randall A; Paul, Christopher; Lesser, Adriane; Miranda, Marie Lynn; Mboera, Leonard E G; Kiptui, Rebecca; Kabatereine, Narcis; Ameneshewa, Birkinesh
2014-08-08
Policy decisions for malaria control are often difficult to make as decision-makers have to carefully consider an array of options and respond to the needs of a large number of stakeholders. This study assessed the factors and specific objectives that influence malaria control policy decisions, as a crucial first step towards developing an inclusive malaria decision analysis support tool (MDAST). Country-specific stakeholder engagement activities using structured questionnaires were carried out in Kenya, Uganda and Tanzania. The survey respondents were drawn from a non-random purposeful sample of stakeholders, targeting individuals in ministries and non-governmental organizations whose policy decisions and actions are likely to have an impact on the status of malaria. Summary statistics across the three countries are presented in aggregate. Important findings aggregated across countries included a belief that donor preferences and agendas were exerting too much influence on malaria policies in the countries. Respondents on average also thought that some relevant objectives such as engaging members of parliament by the agency responsible for malaria control in a particular country were not being given enough consideration in malaria decision-making. Factors found to influence decisions regarding specific malaria control strategies included donor agendas, costs, effectiveness of interventions, health and environmental impacts, compliance and/acceptance, financial sustainability, and vector resistance to insecticides. Malaria control decision-makers in Kenya, Uganda and Tanzania take into account health and environmental impacts as well as cost implications of different intervention strategies. Further engagement of government legislators and other policy makers is needed in order to increase funding from domestic sources, reduce donor dependence, sustain interventions and consolidate current gains in malaria.
Communicating the Needs of Climate Change Policy Makers to Scientists
NASA Technical Reports Server (NTRS)
Brown, Molly E.; Escobar, Vanessa M.; Lovell, Heather
2012-01-01
This chapter will describe the challenges that earth scientists face in developing science data products relevant to decision maker and policy needs, and will describe strategies that can improve the two-way communication between the scientist and the policy maker. Climate change policy and decision making happens at a variety of scales - from local government implementing solar homes policies to international negotiations through the United Nations Framework Convention on Climate Change. Scientists can work to provide data at these different scales, but if they are not aware of the needs of decision makers or understand what challenges the policy maker is facing, they are likely to be less successful in influencing policy makers as they wished. This is because the science questions they are addressing may be compelling, but not relevant to the challenges that are at the forefront of policy concerns. In this chapter we examine case studies of science-policy partnerships, and the strategies each partnership uses to engage the scientist at a variety of scales. We examine three case studies: the global Carbon Monitoring System pilot project developed by NASA, a forest biomass mapping effort for Silvacarbon project, and a forest canopy cover project being conducted for forest management in Maryland. In each of these case studies, relationships between scientists and policy makers were critical for ensuring the focus of the science as well as the success of the decision-making.
Stoto, Michael A.
2002-01-01
Two examples-the "swine flu affair" in 1976 and the emergence of HIV in the blood supply in the early 1980s-illustrate the difficulties of decision-making in public health. Both cases illustrate trade-offs between product risks and public health benefits, especially with regard to uncertainty in estimates of product risks, public health risks, and the benefits of prevention. The cases also illustrate the tendency of public health policy makers to go all the way or do nothing at all, rather than consider intermediate options that can be adapted as new information emerges. This review suggests three lessons for public health policy makers: (1) be open and honest about scientific uncertainty; (2) communicate with the public, even when the facts are not clear; and (3) consider intermediate, adaptable policy options, such as obtaining more information, thus reducing uncertainty, and building in decision points to reconsider initial policies. Underlying all of these lessons is the need to commission studies to resolve important uncertainties and increase the information base for public communication, and to review regulations and other policy options in the light of the new data that emerge. PMID:12576534
Stoto, Michael A
2002-01-01
Two examples-the "swine flu affair" in 1976 and the emergence of HIV in the blood supply in the early 1980s-illustrate the difficulties of decision-making in public health. Both cases illustrate trade-offs between product risks and public health benefits, especially with regard to uncertainty in estimates of product risks, public health risks, and the benefits of prevention. The cases also illustrate the tendency of public health policy makers to go all the way or do nothing at all, rather than consider intermediate options that can be adapted as new information emerges. This review suggests three lessons for public health policy makers: (1) be open and honest about scientific uncertainty; (2) communicate with the public, even when the facts are not clear; and (3) consider intermediate, adaptable policy options, such as obtaining more information, thus reducing uncertainty, and building in decision points to reconsider initial policies. Underlying all of these lessons is the need to commission studies to resolve important uncertainties and increase the information base for public communication, and to review regulations and other policy options in the light of the new data that emerge.
Jones, Lorelei; Exworthy, Mark
2015-01-01
This paper reports from an ethnographic study of hospital planning in England undertaken between 2006 and 2009. We explored how a policy to centralise hospital services was espoused in national policy documents, how this shifted over time and how it was translated in practice. We found that policy texts defined hospital planning as a clinical issue and framed decisions to close hospitals or hospital departments as based on the evidence and necessary to ensure safety. We interpreted this framing as a rhetorical strategy for implementing organisational change in the context of community resistance to service closure and a concomitant policy emphasising the importance of public and patient involvement in planning. Although the persuasive power of the framing was limited, a more insidious form of power was identified in the way the framing disguised the political nature of the issue by defining it as a clinical problem. We conclude by discussing how the clinical rationale constrains public participation in decisions about the delivery and organisation of healthcare and restricts the extent to which alternative courses of action can be considered. Copyright © 2014 Elsevier Ltd. All rights reserved.
DOT National Transportation Integrated Search
2012-04-01
In a time of serious fiscal and environmental constraints, there has been a renewed call to identify transportation investments and related policy decisions that will optimize transportation, environmental, economic, and equity outcomes. Several infl...
Rationality, practice variation and person‐centred health policy: a threshold hypothesis
Hamm, Robert M.; Mayrhofer, Thomas; Hozo, Iztok; Van den Ende, Jef
2015-01-01
Abstract Variation in practice of medicine is one of the major health policy issues of today. Ultimately, it is related to physicians' decision making. Similar patients with similar likelihood of having disease are often managed by different doctors differently: some doctors may elect to observe the patient, others decide to act based on diagnostic testing and yet others may elect to treat without testing. We explain these differences in practice by differences in disease probability thresholds at which physicians decide to act: contextual social and clinical factors and emotions such as regret affect the threshold by influencing the way doctors integrate objective data related to treatment and testing. However, depending on a theoretical construct each of the physician's behaviour can be considered rational. In fact, we showed that the current regulatory policies lead to predictably low thresholds for most decisions in contemporary practice. As a result, we may expect continuing motivation for overuse of treatment and diagnostic tests. We argue that rationality should take into account both formal principles of rationality and human intuitions about good decisions along the lines of Rawls' ‘reflective equilibrium/considered judgment’. In turn, this can help define a threshold model that is empirically testable. PMID:26639018
Hoey, Lesli; Pelletier, David L
2011-06-01
We argue in this paper that a shared desire to find a solution to malnutrition and agreement at a broad level concerning priority, evidence-based interventions are important but not sufficient conditions for effective policy development. This paper illustrates this point, and draws out general implications, through a detailed analysis of a case in which conflict emerged when committed nutrition policy actors began discussing the details of program design and implementation. The case involves one country's effort to select "the best" anthropometric indicator for use in its national child growth-monitoring program. In this case the interested parties approached this deceptively simple decision for different reasons, using different sources and standards of evidence and focusing their attention on opposite, but equally critical, operational considerations, while being heavily influenced by global, national, and interorganizational events and relationships. We suggest that actors seeking to translate political commitment for nutrition into effective action should recognize the technical and sociopolitical complexity of seemingly simple decisions related to intervention design and employ more systematic, intentional, and inclusive decision-making procedures. Without attention to such practical matters, the current window of opportunity to reduce malnutrition on a global scale may quickly close.
Introduction of pentavalent vaccine in Indonesia: a policy analysis
Hadisoemarto, Panji F; Reich, Michael R; Castro, Marcia C
2016-01-01
The introduction of pentavalent vaccine containing Haemophilus influenzae type b antigen in Indonesia’s National Immunization Program occurred nearly three decades after the vaccine was first available in the United States and 16 years after Indonesia added hepatitis B vaccine into the program. In this study, we analyzed the process that led to the decision to introduce pentavalent vaccine in Indonesia. Using process tracing and case comparison, we used qualitative data gathered through interviews with key informants and data extracted from written sources to identify four distinct but interrelated processes that were involved in the decision making: (a) pentavalent vaccine use policy process, (b) financing process, (c) domestic vaccine development process and (d) political process. We hypothesized that each process is associated with four necessary conditions that are jointly sufficient for the successful introduction of pentavalent vaccine in Indonesia, namely (a) an evidence-based vaccine use recommendation, (b) sufficient domestic financing capacity, (c) sufficient domestic vaccine manufacturing capacity and (d) political support for introduction. This analysis of four processes that led to the decision to introduce a new vaccine in Indonesia may help policy makers and other stakeholders understand and manage activities that can accelerate vaccine introduction in the future. PMID:27107293
DOE Office of Scientific and Technical Information (OSTI.GOV)
Coleman, C. Norman; Blumenthal, Daniel J.
2013-05-01
Based on experiences in Tokyo responding to the Fukushima Daiichi nuclear power plant crisis, a real-time, medical decision model is presented by which to make key health-related decisions given the central role of health and medical issues in such disasters. Focus is on response and recovery activities that are safe, timely, effective, and well-organized. This approach empowers on-site decision makers to make interim decisions without undue delay using readily available and high-level scientific, medical, communication, and policy expertise. Key features of this approach include ongoing assessment, consultation, information, and adaption to the changing conditions. This medical decision model presented ismore » compatible with the existing US National Response Framework structure.« less
Institutional ethics policies on medical end-of-life decisions: a literature review.
Lemiengre, Joke; de Casterlé, Bernadette Dierckx; Van Craen, Katleen; Schotsmans, Paul; Gastmans, Chris
2007-10-01
The responsibility of healthcare administrators for handling ethically sensitive medical practices, such as medical end-of-life decisions (MELDs), within an institutional setting has been receiving more attention. The overall aim of this paper is to thoroughly examine the prevalence, content, communication, and implementation of written institutional ethics policies on MELDs by means of a literature review. Major databases (Pubmed, Cinahl, PsycINFO, Cochrane Library, FRANCIS, and Philosopher's Index) and reference lists were systematically searched for all relevant papers. Inclusion criteria for relevance were that the study was empirically based and that it focused on the prevalence, content, communication, or implementation of written institutional ethics policies concerning MELDs. Our search yielded 19 studies of American, Canadian, Dutch and Belgian origin. The majority of studies dealt with do-not-resuscitate (DNR) policies (prevalence: 10-89%). Only Dutch and Belgian studies dealt with policies on pain and symptom control (prevalence: 15-19%) and policies on euthanasia (prevalence: 30-79%). Procedural and technical aspects were a prime focus, while the defining of the specific roles of involved parties was unclear. Little attention was given to exploring ethical principles that question the ethical function of policies. In ethics policies on euthanasia, significant consideration was given to procedures that dealt with conscientious objections of physicians and nurses. Empirical studies about the implementation of ethics policies are scarce. With regard to providing support for physicians and nurses, DNR and euthanasia policies expressed support by primarily providing technical and procedural guidelines. Further research is needed whether and in which way written institutional ethics policies on MELDs could contribute to better end-of-life care.
Making robust policy decisions using global biodiversity indicators.
Nicholson, Emily; Collen, Ben; Barausse, Alberto; Blanchard, Julia L; Costelloe, Brendan T; Sullivan, Kathryn M E; Underwood, Fiona M; Burn, Robert W; Fritz, Steffen; Jones, Julia P G; McRae, Louise; Possingham, Hugh P; Milner-Gulland, E J
2012-01-01
In order to influence global policy effectively, conservation scientists need to be able to provide robust predictions of the impact of alternative policies on biodiversity and measure progress towards goals using reliable indicators. We present a framework for using biodiversity indicators predictively to inform policy choices at a global level. The approach is illustrated with two case studies in which we project forwards the impacts of feasible policies on trends in biodiversity and in relevant indicators. The policies are based on targets agreed at the Convention on Biological Diversity (CBD) meeting in Nagoya in October 2010. The first case study compares protected area policies for African mammals, assessed using the Red List Index; the second example uses the Living Planet Index to assess the impact of a complete halt, versus a reduction, in bottom trawling. In the protected areas example, we find that the indicator can aid in decision-making because it is able to differentiate between the impacts of the different policies. In the bottom trawling example, the indicator exhibits some counter-intuitive behaviour, due to over-representation of some taxonomic and functional groups in the indicator, and contrasting impacts of the policies on different groups caused by trophic interactions. Our results support the need for further research on how to use predictive models and indicators to credibly track trends and inform policy. To be useful and relevant, scientists must make testable predictions about the impact of global policy on biodiversity to ensure that targets such as those set at Nagoya catalyse effective and measurable change.
Making Robust Policy Decisions Using Global Biodiversity Indicators
Nicholson, Emily; Collen, Ben; Barausse, Alberto; Blanchard, Julia L.; Costelloe, Brendan T.; Sullivan, Kathryn M. E.; Underwood, Fiona M.; Burn, Robert W.; Fritz, Steffen; Jones, Julia P. G.; McRae, Louise; Possingham, Hugh P.; Milner-Gulland, E. J.
2012-01-01
In order to influence global policy effectively, conservation scientists need to be able to provide robust predictions of the impact of alternative policies on biodiversity and measure progress towards goals using reliable indicators. We present a framework for using biodiversity indicators predictively to inform policy choices at a global level. The approach is illustrated with two case studies in which we project forwards the impacts of feasible policies on trends in biodiversity and in relevant indicators. The policies are based on targets agreed at the Convention on Biological Diversity (CBD) meeting in Nagoya in October 2010. The first case study compares protected area policies for African mammals, assessed using the Red List Index; the second example uses the Living Planet Index to assess the impact of a complete halt, versus a reduction, in bottom trawling. In the protected areas example, we find that the indicator can aid in decision-making because it is able to differentiate between the impacts of the different policies. In the bottom trawling example, the indicator exhibits some counter-intuitive behaviour, due to over-representation of some taxonomic and functional groups in the indicator, and contrasting impacts of the policies on different groups caused by trophic interactions. Our results support the need for further research on how to use predictive models and indicators to credibly track trends and inform policy. To be useful and relevant, scientists must make testable predictions about the impact of global policy on biodiversity to ensure that targets such as those set at Nagoya catalyse effective and measurable change. PMID:22815938
Mühlbacher, Axel C; Juhnke, Christin
2013-06-01
Clinicians and public health experts make evidence-based decisions for individual patients, patient groups and even whole populations. In addition to the principles of internal and external validity (evidence), patient preferences must also influence decision making. Great Britain, Australia and Germany are currently discussing methods and procedures for valuing patient preferences in regulatory (authorization and pricing) and in health policy decision making. However, many questions remain on how to best balance patient and public preferences with physicians' judgement in healthcare and health policy decision making. For example, how to define evaluation criteria regarding the perceived value from a patient's perspective? How do physicians' fact-based opinions also reflect patients' preferences based on personal values? Can empirically grounded theories explain differences between patients and experts-and, if so, how? This article aims to identify and compare studies that used different preference elicitation methods and to highlight differences between patient and physician preferences. Therefore, studies comparing patient preferences and physician judgements were analysed in a review. This review shows a limited amount of literature analysing and comparing patient and physician preferences for healthcare interventions and outcomes. Moreover, it shows that methodology used to compare preferences is diverse. A total of 46 studies used the following methods-discrete-choice experiments, conjoint analyses, standard gamble, time trade-offs and paired comparisons-to compare patient preferences with doctor judgements. All studies were published between 1985 and 2011. Most studies reveal a disparity between the preferences of actual patients and those of physicians. For most conditions, physicians underestimated the impact of intervention characteristics on patients' decision making. Differentiated perceptions may reflect ineffective communication between the provider and the patient. This in turn may keep physicians from fully appreciating the impact of certain medical conditions on patient preferences. Because differences exist between physicians' judgement and patient preferences, it is important to incorporate the needs and wants of the patient into treatment decisions.
Protection goals in environmental risk assessment: a practical approach.
Garcia-Alonso, Monica; Raybould, Alan
2014-12-01
Policy protection goals are set up in most countries to minimise harm to the environment, humans and animals caused by human activities. Decisions on whether to approve new agricultural products, like pesticides or genetically modified (GM) crops, take into account these policy protection goals. To support decision-making, applications for approval of commercial uses of GM crops usually comprise an environmental risk assessment (ERA). These risk assessments are analytical tools, based on science, that follow a conceptual model that includes a problem formulation step where policy protection goals are considered. However, in most countries, risk assessors face major problems in that policy protection goals set in the legislation are stated in very broad terms and are too ambiguous to be directly applicable in ERAs. This means that risk assessors often have to interpret policy protection goals without clear guidance on what effects would be considered harmful. In this paper we propose a practical approach that may help risk assessors to translate policy protection goals into unambiguous (i.e., operational) protection goals and to establish relevant assessment endpoints and risk hypotheses that can be used in ERAs. Examples are provided to show how this approach can be applied to two areas of environmental concern relevant to the ERAs of GM crops.
Policy design and performance of emissions trading markets: an adaptive agent-based analysis.
Bing, Zhang; Qinqin, Yu; Jun, Bi
2010-08-01
Emissions trading is considered to be a cost-effective environmental economic instrument for pollution control. However, the pilot emissions trading programs in China have failed to bring remarkable success in the campaign for pollution control. The policy design of an emissions trading program is found to have a decisive impact on its performance. In this study, an artificial market for sulfur dioxide (SO2) emissions trading applying the agent-based model was constructed. The performance of the Jiangsu SO2 emissions trading market under different policy design scenario was also examined. Results show that the market efficiency of emissions trading is significantly affected by policy design and existing policies. China's coal-electricity price system is the principal factor influencing the performance of the SO2 emissions trading market. Transaction costs would also reduce market efficiency. In addition, current-level emissions discharge fee/tax and banking mechanisms do not distinctly affect policy performance. Thus, applying emissions trading in emission control in China should consider policy design and interaction with other existing policies.
Scientific integrity memorandum
NASA Astrophysics Data System (ADS)
Showstack, Randy
2009-03-01
U.S. President Barack Obama signed a presidential memorandum on 9 March to help restore scientific integrity in government decision making. The memorandum directs the White House Office of Science and Technology Policy to develop a strategy within 120 days that ensures that "the selection of scientists and technology professionals for science and technology positions in the executive branch is based on those individuals' scientific and technological knowledge, credentials, and experience; agencies make available to the public the scientific or technological findings or conclusions considered or relied upon in policy decisions; agencies use scientific and technological information that has been subject to well-established scientific processes such as peer review; and agencies have appropriate rules and procedures to ensure the integrity of the scientific process within the agency, including whistleblower protection."
In Search of the Missing Link: Relating Destruction to Outcome In Airpower Application
1994-06-01
thereafter.� See Graham T . Allison, �The Cuban Missile Crisis: A Case Study of Crisis Decision-making,� American Defense Policy, eds. John F. Reichart...Books: Allison, Graham T . Essence of Decision. Harvard: Harper Collins, 1971. _________. �The Cuban Missile Crisis: A Case Study of Crisis...adversary�s economic and military power. The vulnerability of an adversary�s transportation is based on the fact that transportation networks
Management of a stage-structured insect pest: an application of approximate optimization.
Hackett, Sean C; Bonsall, Michael B
2018-06-01
Ecological decision problems frequently require the optimization of a sequence of actions over time where actions may have both immediate and downstream effects. Dynamic programming can solve such problems only if the dimensionality is sufficiently low. Approximate dynamic programming (ADP) provides a suite of methods applicable to problems of arbitrary complexity at the expense of guaranteed optimality. The most easily generalized method is the look-ahead policy: a brute-force algorithm that identifies reasonable actions by constructing and solving a series of temporally truncated approximations of the full problem over a defined planning horizon. We develop and apply this approach to a pest management problem inspired by the Mediterranean fruit fly, Ceratitis capitata. The model aims to minimize the cumulative costs of management actions and medfly-induced losses over a single 16-week season. The medfly population is stage-structured and grows continuously while management decisions are made at discrete, weekly intervals. For each week, the model chooses between inaction, insecticide application, or one of six sterile insect release ratios. Look-ahead policy performance is evaluated over a range of planning horizons, two levels of crop susceptibility to medfly and three levels of pesticide persistence. In all cases, the actions proposed by the look-ahead policy are contrasted to those of a myopic policy that minimizes costs over only the current week. We find that look-ahead policies always out-performed a myopic policy and decision quality is sensitive to the temporal distribution of costs relative to the planning horizon: it is beneficial to extend the planning horizon when it excludes pertinent costs. However, longer planning horizons may reduce decision quality when major costs are resolved imminently. ADP methods such as the look-ahead-policy-based approach developed here render questions intractable to dynamic programming amenable to inference but should be applied carefully as their flexibility comes at the expense of guaranteed optimality. However, given the complexity of many ecological management problems, the capacity to propose a strategy that is "good enough" using a more representative problem formulation may be preferable to an optimal strategy derived from a simplified model. © 2018 by the Ecological Society of America.
Trialling an electronic decision aid for policy developers to support ageing well.
Cummings, Elizabeth; Ellis, Leonie; Tin, Eh Eh; Boyer, Kim; Orpin, Peter
2015-01-01
The complex process of developing policies and planning services requires the compilation and collation of evidence from multiple sources. With the increasing numbers of people living longer there will be a high demand for a wide range of aged care services to support people in ageing well. The premise of ageing well is based on providing an ageing population with quality care and resources that support their ongoing needs. These include affordable healthcare, end of life care improvement, mental health services improvement, care and support improvement for people with dementia, and support for healthy ageing. The National Health and Medical Research Council funded a research project to develop a policy tool to provide a framework to assist policy makers and service planners in the area of ageing well in rural and regional Australia. It was identified that development of an electronic version of the policy tool could be useful resulting in a small pilot development being undertaken and tested with policy makers and service planners. This paper describes the development and trialling of a tablet based application used to assess the acceptability of computerised forms for participants actively involved in policy development. It reports on the policy developer's experience of the electronic tool to support ageing well policy making based on evidence.
42 CFR 405.1206 - Expedited determination procedures for inpatient hospital care.
Code of Federal Regulations, 2011 CFR
2011-10-01
..., or based on other Medicare coverage policies. Consistent with paragraph (e)(2) of this section, the... determination based on the evidence at hand, or it may defer a decision until it receives the necessary... available to discuss the case. (3) The beneficiary may, but is not required to, submit written evidence to...
42 CFR 405.1206 - Expedited determination procedures for inpatient hospital care.
Code of Federal Regulations, 2012 CFR
2012-10-01
..., or based on other Medicare coverage policies. Consistent with paragraph (e)(2) of this section, the... determination based on the evidence at hand, or it may defer a decision until it receives the necessary... available to discuss the case. (3) The beneficiary may, but is not required to, submit written evidence to...
42 CFR 405.1206 - Expedited determination procedures for inpatient hospital care.
Code of Federal Regulations, 2013 CFR
2013-10-01
..., or based on other Medicare coverage policies. Consistent with paragraph (e)(2) of this section, the... determination based on the evidence at hand, or it may defer a decision until it receives the necessary... available to discuss the case. (3) The beneficiary may, but is not required to, submit written evidence to...
42 CFR 405.1206 - Expedited determination procedures for inpatient hospital care.
Code of Federal Regulations, 2014 CFR
2014-10-01
..., or based on other Medicare coverage policies. Consistent with paragraph (e)(2) of this section, the... determination based on the evidence at hand, or it may defer a decision until it receives the necessary... available to discuss the case. (3) The beneficiary may, but is not required to, submit written evidence to...
People, Policy and Process in College-Level Academic Management
ERIC Educational Resources Information Center
Nguyen, Thang N.
2016-01-01
Academic institution structure is both hierarchical and committee-based. It is hierarchical in the Administration including staff, similar to business corporations. It is committee-based for the Faculty body in a fashion similar to US Congress. It can exploit the best of both models for better governance and rightfully democratic decisions. The…
Shared decision making in the United States: policy and implementation activity on multiple fronts.
Frosch, Dominick L; Moulton, Benjamin W; Wexler, Richard M; Holmes-Rovner, Margaret; Volk, Robert J; Levin, Carrie A
2011-01-01
Shared decision making in the United States has become an important element in health policy debates. The recently passed federal health care reform legislation includes several key provisions related to shared decision making (SDM) and patient decision support. Several states have passed or are considering legislation that incorporates SDM as a key component of improved health care provision. Research on SDM is funded by a range of public and private organizations. Non-profit, for-profit, academic and government organizations are developing decision support interventions for numerous conditions. Some interventions are publicly available; others are distributed to patients through health insurance and healthcare providers. A significant number of clinical implementation projects are underway to test and evaluate different ways of incorporating SDM and patient decision support into routine clinical care. Numerous professional organizations are advocating for SDM and social networking efforts are increasing their advocacy as well. Policy makers are intrigued by the potential of SDM to improve health care provision and potentially lower costs. The role of shared decision making in policy and practice will be part of the larger health care reform debate. 2011. Published by Elsevier GmbH.
On our rapidly shrinking capacity to comply with the planetary boundaries on climate change.
Mathias, Jean-Denis; Anderies, John M; Janssen, Marco A
2017-02-07
The planetary boundary framework constitutes an opportunity for decision makers to define climate policy through the lens of adaptive governance. Here, we use the DICE model to analyze the set of adaptive climate policies that comply with the two planetary boundaries related to climate change: (1) staying below a CO 2 concentration of 550 ppm until 2100 and (2) returning to 350 ppm in 2100. Our results enable decision makers to assess the following milestones: (1) a minimum of 33% reduction of CO 2 emissions by 2055 in order to stay below 550 ppm by 2100 (this milestone goes up to 46% in the case of delayed policies); and (2) carbon neutrality and the effective implementation of innovative geoengineering technologies (10% negative emissions) before 2060 in order to return to 350 ppm in 2100, under the assumption of getting out of the baseline scenario without delay. Finally, we emphasize the need to use adaptive path-based approach instead of single point target for climate policy design.
On our rapidly shrinking capacity to comply with the planetary boundaries on climate change
Mathias, Jean-Denis; Anderies, John M.; Janssen, Marco A.
2017-01-01
The planetary boundary framework constitutes an opportunity for decision makers to define climate policy through the lens of adaptive governance. Here, we use the DICE model to analyze the set of adaptive climate policies that comply with the two planetary boundaries related to climate change: (1) staying below a CO2 concentration of 550 ppm until 2100 and (2) returning to 350 ppm in 2100. Our results enable decision makers to assess the following milestones: (1) a minimum of 33% reduction of CO2 emissions by 2055 in order to stay below 550 ppm by 2100 (this milestone goes up to 46% in the case of delayed policies); and (2) carbon neutrality and the effective implementation of innovative geoengineering technologies (10% negative emissions) before 2060 in order to return to 350 ppm in 2100, under the assumption of getting out of the baseline scenario without delay. Finally, we emphasize the need to use adaptive path-based approach instead of single point target for climate policy design. PMID:28169336
On our rapidly shrinking capacity to comply with the planetary boundaries on climate change
NASA Astrophysics Data System (ADS)
Mathias, Jean-Denis; Anderies, John M.; Janssen, Marco A.
2017-02-01
The planetary boundary framework constitutes an opportunity for decision makers to define climate policy through the lens of adaptive governance. Here, we use the DICE model to analyze the set of adaptive climate policies that comply with the two planetary boundaries related to climate change: (1) staying below a CO2 concentration of 550 ppm until 2100 and (2) returning to 350 ppm in 2100. Our results enable decision makers to assess the following milestones: (1) a minimum of 33% reduction of CO2 emissions by 2055 in order to stay below 550 ppm by 2100 (this milestone goes up to 46% in the case of delayed policies); and (2) carbon neutrality and the effective implementation of innovative geoengineering technologies (10% negative emissions) before 2060 in order to return to 350 ppm in 2100, under the assumption of getting out of the baseline scenario without delay. Finally, we emphasize the need to use adaptive path-based approach instead of single point target for climate policy design.
Concept mapping as a method to enhance evidence-based public health.
van Bon-Martens, Marja J H; van de Goor, Ien A M; van Oers, Hans A M
2017-02-01
In this paper we explore the suitability of concept mapping as a method for integrating knowledge from science, practice, and policy. In earlier research we described and analysed five cases of concept mapping procedures in the Netherlands, serving different purposes and fields in public health. In the current paper, seven new concept mapping studies of co-produced work are added to extend this analysis. For each of these twelve studies we analysed: (1) how the method was able to integrate knowledge from practice with scientific knowledge by facilitating dialogue and collaboration between different stakeholders in the field of public health, such as academic researchers, practitioners, policy-makers and the public; (2) how the method was able to bring theory development a step further (scientific relevance); and (3) how the method was able to act as a sound basis for practical decision-making (practical relevance). Based on the answers to these research questions, all but one study was considered useful for building more evidence-based public health, even though the extent to which they underpinned actual decision-making varied. The chance of actually being implemented in practice seems strongly related to the extent to which the responsible decision-makers are involved in the way the concept map is prepared and executed. Copyright © 2016 Elsevier Ltd. All rights reserved.
Expanding Health Technology Assessments to Include Effects on the Environment.
Marsh, Kevin; Ganz, Michael L; Hsu, John; Strandberg-Larsen, Martin; Gonzalez, Raquel Palomino; Lund, Niels
2016-01-01
There is growing awareness of the impact of human activity on the climate and the need to stem this impact. Public health care decision makers from Sweden and the United Kingdom have started examining environmental impacts when assessing new technologies. This article considers the case for incorporating environmental impacts into the health technology assessment (HTA) process and discusses the associated challenges. Two arguments favor incorporating environmental impacts into HTA: 1) environmental changes could directly affect people's health and 2) policy decision makers have broad mandates and objectives extending beyond health care. Two types of challenges hinder this process. First, the nascent evidence base is insufficient to support the accurate comparison of technologies' environmental impacts. Second, cost-utility analysis, which is favored by many HTA agencies, could capture some of the value of environmental impacts, especially those generating health impacts, but might not be suitable for addressing broader concerns. Both cost-benefit and multicriteria decision analyses are potential methods for evaluating health and environmental outcomes, but are less familiar to health care decision makers. Health care is an important and sizable sector of the economy that could warrant closer policy attention to its impact on the environment. Considerable work is needed to track decision makers' demands, augment the environmental evidence base, and develop robust methods for capturing and incorporating environmental data as part of HTA. Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
78 FR 51078 - Reporting Requirements for Positive Train Control Expenses and Investments
Federal Register 2010, 2011, 2012, 2013, 2014
2013-08-20
... useful in making regulatory policy and business decisions. The new rule will require a PTC Supplement \\5... interested parties with data useful in making regulatory policy and business decisions. PTC grants. AAR and... useful in regulatory decision making.\\45\\ They also argue that the burden will be on the carriers to...
ERIC Educational Resources Information Center
Ford, Cheryl
2016-01-01
Over the past 30 years, public health Practitioners worldwide have increasingly relied on Health Impact Assessments (HIAs) as a tool for informing decision makers of the potential health impacts of proposed policies, programs, and planning decisions. Adoption of the HIA is significantly less common in the United States than in international…
2009-01-01
This article is part of a series written for people responsible for making decisions about health policies and programmes and for those who support these decision makers. In this article, we discuss the following three questions: What is evidence? What is the role of research evidence in informing health policy decisions? What is evidence-informed policymaking? Evidence-informed health policymaking is an approach to policy decisions that aims to ensure that decision making is well-informed by the best available research evidence. It is characterised by the systematic and transparent access to, and appraisal of, evidence as an input into the policymaking process. The overall process of policymaking is not assumed to be systematic and transparent. However, within the overall process of policymaking, systematic processes are used to ensure that relevant research is identified, appraised and used appropriately. These processes are transparent in order to ensure that others can examine what research evidence was used to inform policy decisions, as well as the judgements made about the evidence and its implications. Evidence-informed policymaking helps policymakers gain an understanding of these processes. PMID:20018099
Deliberative Democracy and stem cell research in New York State: the good, the bad, and the ugly.
Sulmasy, Daniel P
2009-03-01
Many states in the U.S. have adopted policies regarding human embryonic stem cell (hESC) research in the last few years. Some have arrived at these policies through legislative debate, some by referendum, and some by executive order. New York has chosen a unique structure for addressing policy decisions regarding this morally controversial issue by creating the Empire State Stem Cell Board with two Committees--an Ethics Committee and a Funding Committee. This essay explores the pros and cons of various policy arrangements for making public policy decisions about morally controversial issues in bioethics (as well as other issues) through the lens of Deliberative Democracy, focusing on the principles of reciprocity, publicity, and accountability. Although New York's unique mechanism potentially offers an opportunity to make policy decisions regarding a morally controversial subject like hESC research in accord with the principles of Deliberative Democracy, this essay demonstrates its failure to do so in actual fact. A few relatively simple changes could make New York's program a real model for putting Deliberative Democracy into practice in making policy decisions regarding controversial bioethical issues.
Cambon, Linda; Alla, François
2013-01-01
It is becoming increasingly necessary, in France, to develop a more efficient public health policy and define research in terms of the perspective of its use for public decisions and clinical practice. One possible solution consists of knowledge transfer and sharing based on a continuous exchange and interaction process between scientists and potential users of research data - field workers and health policy decision-makers. Such a process would involve collaboration with users to help them apply the evidence produced by research as well as the mobilization of research scientists to develop research more adapted to needs. This article defines the goals of development of knowledge transfer in the French setting. The conceptual bases are defined and four strategic axes and their operational modalities are developed. This proposal also integrates all of the public authorities concerned: promote knowledge transfer; reinforce observation and diffusion of evidence and its usability; promote the development of more adapted public health research by facilitating research scientist /research data user relationships; assist the various parties in the exchange and sharing of knowledge. Apart from improving the efficiency of health policies, the development of knowledge transfer and sharing would also strengthen the credibility of certain intervention strategies, especially in the field of prevention, by designing evidence-based strategies.
Zardo, Pauline; Collie, Alex; Livingstone, Charles
2014-05-01
This study examined external factors affecting policy and program decision-making in a specific public health policy context: injury prevention and rehabilitation compensation in the Australian state of Victoria. The aim was twofold: identify external factors that affect policy and program decision-making in this specific context; use this evidence to inform targeting of interventions aimed at increasing research use in this context. Qualitative interviews were undertaken from June 2011 to January 2012 with 33 employees from two state government agencies. Key factors identified were stakeholder feedback and action, government and ministerial input, legal feedback and action, injured persons and the media. The identified external factors were able to significantly influence policy and program decision-making processes: acting as both barriers and facilitators, depending on the particular issue at hand. The factors with the most influence were the Minister and government, lawyers, and agency stakeholders, particularly health providers, trade unions and employer groups. This research revealed that interventions aimed at increasing use of research in this context must target and harness the influence of these groups. This research provides critical insights for researchers seeking to design interventions to increase use of research in policy environments and influence decision-making in Victorian injury prevention and rehabilitation compensation. Copyright © 2014 Elsevier Ltd. All rights reserved.
Bakam, Innocent; Balana, Bedru Babulo; Matthews, Robin
2012-12-15
Market-based policy instruments to reduce greenhouse gas (GHG) emissions are generally considered more appropriate than command and control tools. However, the omission of transaction costs from policy evaluations and decision-making processes may result in inefficiency in public resource allocation and sub-optimal policy choices and outcomes. This paper aims to assess the relative cost-effectiveness of market-based GHG mitigation policy instruments in the agricultural sector by incorporating transaction costs. Assuming that farmers' responses to mitigation policies are economically rationale, an individual-based model is developed to study the relative performances of an emission tax, a nitrogen fertilizer tax, and a carbon trading scheme using farm data from the Scottish farm account survey (FAS) and emissions and transaction cost data from literature metadata survey. Model simulations show that none of the three schemes could be considered the most cost effective in all circumstances. The cost effectiveness depends both on the tax rate and the amount of free permits allocated to farmers. However, the emissions trading scheme appears to outperform both other policies in realistic scenarios. Copyright © 2012 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Zardo, Pauline; Collie, Alex; Livingstone, Charles
2015-01-01
Organisational factors can affect the success of interventions aimed at increasing research use. Research is needed to identify organisational factors affecting research use in specific public health policy contexts. Qualitative interviews with decision makers from a specific public health context identified a range of organisational factors that…
Policy Analysis | Energy Analysis | NREL
policymakers and inform decision making. Featured Analysis 2016: Measuring the Impacts of Federal Tax Credit state policy on decision makers. Learn more about clean energy policy on the NREL State and Local Portfolio Standards also shows national water withdrawals and water consumption by fossil-fuel plants were
Federal Register 2010, 2011, 2012, 2013, 2014
2011-11-15
...-FXES11170900000-B3] Proposed Information Collection; Policy for Evaluation of Conservation Efforts When Making... under the ESA. The Policy for Evaluation of Conservation Efforts When Making Listing Decisions (PECE... contributes to forming a basis for making a decision about the listing of a species. PECE applies to...
Utility of Policy Capturing as an Approach to Graduate Admissions Decision Making.
ERIC Educational Resources Information Center
Schmidt, Frank L.; And Others
1978-01-01
The present study examined and evaluated the application of linear policy-capturing models to the real-world decision task of graduate admissions. Utility of the policy-capturing models was great enough to be of practical significance, and least-squares weights showed no predictive advantage over equal weights. (Author/CTM)
California Policy Options to Accelerate Latino Student Success in Higher Education
ERIC Educational Resources Information Center
Santiago, Deborah A.
2006-01-01
California policy makers and institutional leaders are making critical policy, programmatic, and budgetary decisions affecting segments of the state's population that lack sufficient levels of formal training and education. These decisions are occurring at a time when five critical trends are converging in the state. These trends are: (1)…
ERIC Educational Resources Information Center
Lachman, Seymour P., Ed.
The conference was convened to provide a forum for educators, human rights representatives, and government officials to discuss decision-making processes of local education authorities. The focus of the conference was on the increasing influence on educational policy formation of federal and state court decisions, regulatory agencies, professional…
D'Haene, Ina; Vander Stichele, Robert H; Pasman, H Roeline W; Noortgate, Nele Van den; Bilsen, Johan; Mortier, Freddy; Deliens, Luc
2009-12-30
The prevalence and implementation of institutional end-of-life policies has been comprehensively studied in Flanders, Belgium, a country where euthanasia was legalised in 2002. Developing end-of-life policies in hospitals is a first step towards improving the quality of medical decision-making at the end-of-life. Implementation of policies through quality assessments, communication and the training and education of health care providers is equally important in improving actual end-of-life practice. The aim of the present study is to report on the existence and nature of end-of-life policy implementation activities in Flemish acute hospitals. A cross-sectional mail survey was sent to all acute hospitals (67 main campuses) in Flanders (Belgium). The questionnaire asked about hospital characteristics, the prevalence of policies on five types of end-of-life decisions: euthanasia, palliative sedation, alleviation of symptoms with possible life-shortening effect, do-not-resuscitate decision, and withdrawing or withholding of treatment, the internal and external communication of these policies, training and education on aspects of end-of-life care, and quality assessments of end-of-life care on patient and family level. The response rate was 55%. Results show that in 2007 written policies on most types of end-of-life decisions were widespread in acute hospitals (euthanasia: 97%, do-not-resuscitate decisions: 98%, palliative sedation: 79%). While standard communication of these policies to health care providers was between 71% and 91%, it was much lower to patients and/or family (between 17% and 50%). More than 60% of institutions trained and educated their caregivers in different aspects on end-of-life care. Assessment of the quality of these different aspects at patient and family level occurred in 25% to 61% of these hospitals. Most Flemish acute hospitals have developed a policy on end-of-life practices. However, communication, training and the education of health care providers about these policies is not always provided, and quality assessment tools are used in less than half of the hospitals.
Optimization of PSA screening policies: a comparison of the patient and societal perspectives.
Zhang, Jingyu; Denton, Brian T; Balasubramanian, Hari; Shah, Nilay D; Inman, Brant A
2012-01-01
To estimate the benefit of PSA-based screening for prostate cancer from the patient and societal perspectives. A partially observable Markov decision process model was used to optimize PSA screening decisions. Age-specific prostate cancer incidence rates and the mortality rates from prostate cancer and competing causes were considered. The model trades off the potential benefit of early detection with the cost of screening and loss of patient quality of life due to screening and treatment. PSA testing and biopsy decisions are made based on the patient's probability of having prostate cancer. Probabilities are inferred based on the patient's complete PSA history using Bayesian updating. The results of all PSA tests and biopsies done in Olmsted County, Minnesota, from 1993 to 2005 (11,872 men and 50,589 PSA test results). Patients' perspective: to maximize expected quality-adjusted life years (QALYs); societal perspective: to maximize the expected monetary value based on societal willingness to pay for QALYs and the cost of PSA testing, prostate biopsies, and treatment. From the patient perspective, the optimal policy recommends stopping PSA testing and biopsy at age 76. From the societal perspective, the stopping age is 71. The expected incremental benefit of optimal screening over the traditional guideline of annual PSA screening with threshold 4.0 ng/mL for biopsy is estimated to be 0.165 QALYs per person from the patient perspective and 0.161 QALYs per person from the societal perspective. PSA screening based on traditional guidelines is found to be worse than no screening at all. PSA testing done with traditional guidelines underperforms and therefore underestimates the potential benefit of screening. Optimal screening guidelines differ significantly depending on the perspective of the decision maker.
Blanck, Heidi M; Kim, Sonia A
2012-09-01
Childhood obesity is a major threat to individual health and society overall. Policies that support healthier food and beverage choices have been endorsed by many decision makers. These policies may reach a large proportion of the population or in some circumstances aim to reduce nutrition disparities to ensure health equity. The Nutrition and Obesity Policy Research and Evaluation Network (NOPREN) evaluates policy as a tool to improve food and beverage environments where Americans live, work, play, and learn. The network aspires to address research and evaluation gaps related to relevant policies, create standardized research tools, and help build the evidence base of effective policy solutions for childhood obesity prevention with a focus on reach, equity, cost effectiveness, and sustainability. Published by Elsevier Inc.
NASA Astrophysics Data System (ADS)
Abotah, Remal
The wide use of renewable energy technologies for generating electricity can be seen as one way of meeting environmental and climate change challenges along with a progression to a low-carbon economy. A large number of policy instruments have been formed and employed to support the adoption of renewable energy technologies in the power generation sector. However, the success of these policies in achieving their goals relies on how effective they are in satisfying their targets and thus increasing renewable energy adoption. One measurement for effectiveness of policy instruments can be their contribution to the input of the process of renewable energy adoption and their effect on satisfying regional goal. The objective of this research is evaluate the effectiveness of energy policy instruments on increasing the adoption of renewable energy by developing a comprehensive evaluation model. Criteria used in this assessment depend on five perspectives that are perceived by decision makers as important for adoption process. The decision model linked the perspectives to policy targets and various energy policy instruments. These perspectives are: economic, social, political, environmental and technical. The research implemented the hierarchical decision model (HDM) to construct a generalized policy assessment framework. Data for wind energy adoption in the Pacific Northwest region were collected as a case study and application for the model. Experts' qualitative judgments were collected and quantified using the pair-wise comparison method and the final rankings and effectiveness of policy alternatives with respect to the mission were identified. Results of this research identified economic feasibility improvement of renewable energy projects as the most influential perspective and that renewable portfolio standards and tax credits are the two most effective criteria to accomplish that. The research also applied sensitivity analysis and scenario analysis to identify the effect of regional perspectives future priority changes on determining the most effective policy for this perspective. Results showed that renewable portfolio standards and tax credits were found to be the two most effective policies among the alternatives assessed. The research model and outcome can serve as policy check tool in policy making for renewable energy development in any region. Based on the overall research findings, policymakers can apply specific policy instruments to support adoption efforts for any given scenario and regional emphasis.
Petkovic, Jennifer; Welch, Vivian; Tugwell, Peter
2015-09-28
Systematic reviews are important for decision-makers. They offer many potential benefits but are often written in technical language, are too long, and do not contain contextual details which makes them hard to use for decision-making. There are many organizations that develop and disseminate derivative products, such as evidence summaries, from systematic reviews for different populations or subsets of decision-makers. This systematic review will assess the effectiveness of systematic review summaries on increasing policymakers' use of systematic review evidence and to identify the components or features of these summaries that are most effective. We will include studies of policy-makers at all levels as well as health-system managers. We will include studies examining any type of "evidence summary," "policy brief," or other products derived from systematic reviews that present evidence in a summarized form. The primary outcomes are the following: (1) use of systematic review summaries decision-making (e.g., self-reported use of the evidence in policy-making, decision-making) and (2) policy-maker understanding, knowledge, and/or beliefs (e.g., changes in knowledge scores about the topic included in the summary). We will conduct a systematic review of randomized controlled trials (RCTs), non-randomized controlled trials (NRCTs), controlled before-after studies (CBA), and interrupted time series (ITS) studies. The results of this review will inform the development of future systematic review summaries to ensure that systematic review evidence is accessible to and used by policy-makers making health-related decisions.
Public health policy decisions on medical innovations: what role can early economic evaluation play?
Hartz, Susanne; John, Jürgen
2009-02-01
Our contribution aims to explore the different ways in which early economic data can inform public health policy decisions on new medical technologies. A literature research was conducted to detect methodological contributions covering the health policy perspective. Early economic data on new technologies can support public health policy decisions in several ways. Embedded in horizon scanning and HTA activities, it adds to monitoring and assessment of innovations. It can play a role in the control of technology diffusion by informing coverage and reimbursement decisions as well as the direct public promotion of healthcare technologies, leading to increased efficiency. Major problems include the uncertainty related to economic data at early stages as well as the timing of the evaluation of an innovation. Decision-makers can benefit from the information supplied by early economic data, but the actual use in practice is difficult to determine. Further empirical evidence should be gathered, while the use could be promoted by further standardization.
Are Universities Rational Organizations?
ERIC Educational Resources Information Center
Dufty, N. F.
1980-01-01
Administrators in higher education frequently assume a type of rationality based on bureaucratic or political models of organizations, or some combination of the two. This assumption is questioned, and suggestions are made for models of decision making, resource allocation, and policy formation and implementation. (MSE)
Winter, Sebastian F.; Winter, Stefan F.
2018-01-01
Background: There is ample evidence that since the turn of the millennium German health policy made a considerable step towards prevention and health promotion, putting the strategies of ‘personal empowerment’ and ‘settings based approach’ high on the federal government’s agenda. This phenomenon has challenged the role of ethics in health policy. Concurrently, increasing relevance of the Concept of Human Dignity for health and human rights has been discussed. However, a direct relationship between Human Dignity and Public Health Ethics (PHE) has surprisingly not yet been established. Methods: We here conduct a systematic ethical analysis of eminent German health prevention policy case-examples between the years 2000–2016. Specifically, our analysis seeks to adapt and apply the principalism (autonomy, beneficence, justice)-based Concept of Human Dignity of Italian philosopher Corrado Viafora, contextualizing it with the emerging field of PHE. To further inform this health policy analysis, index databases (PubMed, Google Scholar) were searched to include relevant published and grey literature. Results: We observe a systematic approach of post-millennial health policy decisions on prevention and on defined health targets in Germany, exemplified by (1) the fostering of the preparedness against pandemic infectious diseases, (2) the development and implementation of the first cancer vaccination, (3) major legal provisions on non-smokers protection in the public domain, (4) acts to strengthen long term care (LTC) as well as (5) the new German E-Health legislation. The ethical analysis of these health prevention decisions exhibits their profound ongoing impact on social justice, probing their ability to meet the underlying Concept of Human Dignity in order to fulfill the requirements of the principle of non-maleficence. Conclusion: The observed health policy focus on prevention and health promotion has sparked new public debates about the formation of/compliance with emerging standards of PHE in Germany. We believe that the overall impact of this novel policy orientation will gradually show over mid- and long-term periods, both in terms of improvements in health system performance and concurrently in diagnostics, therapies and health outcome on individual patient level. The Concept of Human Dignity may soon play an even greater role in European PHE debates to come. PMID:29524950
Evaluating child welfare policies with decision-analytic simulation models.
Goldhaber-Fiebert, Jeremy D; Bailey, Stephanie L; Hurlburt, Michael S; Zhang, Jinjin; Snowden, Lonnie R; Wulczyn, Fred; Landsverk, John; Horwitz, Sarah M
2012-11-01
The objective was to demonstrate decision-analytic modeling in support of Child Welfare policymakers considering implementing evidence-based interventions. Outcomes included permanency (e.g., adoptions) and stability (e.g., foster placement changes). Analyses of a randomized trial of KEEP-a foster parenting intervention-and NSCAW-1 estimated placement change rates and KEEP's effects. A microsimulation model generalized these findings to other Child Welfare systems. The model projected that KEEP could increase permanency and stability, identifying strategies targeting higher-risk children and geographical regions that achieve benefits efficiently. Decision-analytic models enable planners to gauge the value of potential implementations.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Huang Shuli; Yeh Chiatsung; Budd, William W.
2009-02-15
Sustainability indicators have been widely developed to monitor and assess sustainable development. They are expected to guide political decision-making based on their capability to represent states and trends of development. However, using indicators to assess the sustainability of urban strategies and policies has limitations - as they neither reflect the systemic interactions among them, nor provide normative indications in what direction they should be developed. This paper uses a semi-quantitative systematic model tool (Sensitivity Model Tools, SM) to analyze the role of urban development in Taiwan's sustainability. The results indicate that the natural environment in urban area is one ofmore » the most critical components and the urban economic production plays a highly active role in affecting Taiwan's sustainable development. The semi-quantitative simulation model integrates sustainability indicators and urban development policy to provide decision-makers with information about the impacts of their decisions on urban development. The system approach incorporated by this paper can be seen as a necessary, but not sufficient, condition for a sustainability assessment. The participatory process of expert participants for providing judgments on the relations between indicator variables is also discussed.« less
Cancer patients' perceptions of do not resuscitate orders.
Olver, Ian N; Eliott, Jaklin A; Blake-Mortimer, Jane
2002-01-01
Patients' perceptions of do not resuscitate (DNR) orders and how and when to present the information were sought to aid in framing DNR policy. Semi-structured interviews of 23 patients being treated for cancer, were conducted by a clinical psychologist. The interviews were transcribed and analysed with the aid of a qualitative software package. Discourse analysis enabled hypotheses to be formed based on consistencies and variations of the language used. Most patients understood what DNR meant and preferred DNR orders to 'good palliative care' orders. They saw it as their autonomous right and responsibility to make such decisions. They would seek information on the likely medical outcomes of resuscitation but also would use non-rational criteria based on emotional and social factors to make their decisions. Family considerations suggest that personal autonomy is not the overriding basis of the decision. Patients were unsure of the best timing of a DNR discussion and were prepared to defer to doctors' intuition. Most advocated written DNR orders but few had them. Families were construed as advocates but also seen as constraining individual autonomy. When considering DNR orders, patients recognise the diversity of preferences likely to exist that belie a one policy fits all approach. Copyright 2002 John Wiley & Sons, Ltd.
NASA Astrophysics Data System (ADS)
Brouwer, Roy; van Ek, Remco; Bouma, Jetske
Water policy and management decisions become increasingly better informed. Often a large number of studies is carried out before a decision is taken. In the Netherlands, some of these studies, such as environmental impact assessment, are obligatory by law if serious environmental impacts are expected. However, an integrated assessment based on these separate studies is lacking. In this study, an attempt was made to combine and where possible integrate procedures and methods from environmental, social and economic impact assessment. The main objective of the study is to assess, separately and in combination, the ecological, social and economic consequences of land use changes and floodplain restoration as alternative flood protection strategies in the river basins of the rivers Rhine and Meuse in the Netherlands. Based on scenarios of climate change, land subsidence and sea level rise over the next fifty years the associated hy drological changes are translated into the corresponding ecological, economic and social impacts, using a combination of expert judgement and advanced modelling techniques. These impacts are assessed and evaluated with the help of integrated assessment methods such as cost-benefit and multi-criteria analysis in order to support decision-making towards the implementation of new policy regarding flood protection. The outcome of the integrated assessment is related to other water policy objectives, including restoration of the resilience of water systems and nature conservation.
NASA Technical Reports Server (NTRS)
Maynard, Nancy G.; Yurchak, Boris; Turi, Johan Mathis; Mathiesen, Svein D.; Aissi-Wespi, Rita L.
2004-01-01
As scientists and policy-makers from both indigenous and non-indigenous communities begin to build closer partnerships to address common sustainability issues such as the health impacts of climate change and anthropogenic activities, it becomes increasingly important to create shared information management systems which integrate all relevant factors for optimal information sharing and decision-making. This paper describes a new GIs-based system being designed to bring local and indigenous traditional knowledge together with scientific data and information, remote sensing, and information technologies to address health-related environment, weather, climate, pollution and land use change issues for improved decision/policy-making for reindeer husbandry. The system is building an easily-accessible archive of relevant current and historical, traditional, local and remotely-sensed and other data and observations for shared analysis, measuring, and monitoring parameters of interest. Protection of indigenous culturally sensitive information will be respected through appropriate data protocols. A mechanism which enables easy information sharing among all participants, which is real time and geo-referenced and which allows interconnectivity with remote sites is also being designed into the system for maximum communication among partners. A preliminary version of our system will be described for a Russian reindeer test site, which will include a combination of indigenous knowledge about local conditions and issues, remote sensing and ground-based data on such parameters as the vegetation state and distribution, snow cover, temperature, ice condition, and infrastructure.
Consulting as a Strategy for Knowledge Transfer
Jacobson, Nora; Butterill, Dale; Goering, Paula
2005-01-01
Academic researchers who work on health policy and health services are expected to transfer knowledge to decision makers. Decision makers often do not, however, regard academics’ traditional ways of doing research and disseminating their findings as relevant or useful. This article argues that consulting can be a strategy for transferring knowledge between researchers and decision makers and is effective at promoting the “enlightenment” and “interactive” models of knowledge use. Based on three case studies, it develops a model of knowledge transfer–focused consulting that consists of six stages and four types of work. Finally, the article explores how knowledge is generated in consulting and identifies several classes of factors facilitating its use by decision makers. PMID:15960773
Values in Health Policy – A Concept Analysis
Shams, Lida; Akbari Sari, Ali; Yazdani, Shahram
2016-01-01
Background: Despite the significant role "values" play in decision-making no definition or attributes regarding the concept have been provided in health policy-making. This study aimed to clarify the defining attributes of a concept of value and its irrelevant structures in health policy-making. We anticipate our findings will help reduce the semantic ambiguities associated with the use of "values" and other concepts such as principles, criteria, attitudes, and beliefs. Methods: An extensive search of literature was carried out using electronic data base and library. The overall search strategy yielded about 1540 articles and 450 additional records. Based on traditional qualitative research, studies were purposefully selected and the coding of articles continued until data saturation was reached. Accordingly, 31 articles, 2 books, and 5 other documents were selected for the review. We applied Walker and Avant’s method of concept analysis in studying the phenomenon. Definitions, applications, attributes, antecedents, and consequences of the concept of "value in health policy-making" were extracted. We also identified similarities and differences that exist between and within them. Results: We identified eight major attributes of "value in health policy-making": ideological origin, affect one’s choices, more resistant to change over time, source of motivation, ability to sacrifice one’s interest, goal-oriented nature for community, trans-situational and subjectivity. Other features pinpointed include alternatives, antecedents, and consequences. Alternative, antecedents and consequences case may have more or fewer attributes or may lack one of these attributes and at the same time have other distinctive ones. Conclusion: Despite the use of the value framework, ambiguities still persist in providing definition of the concept value in health policy-making. Understanding the concept of value in health policy-making may provide extra theoretical support to decision-makers in their policy-making process, to help avoid poor policy formulation and wastage of limited resources. PMID:27801357
Lenoir-Wijnkoop, I; Nuijten, M J C; Gutiérrez-Ibarluzea, I; Hutton, J; Poley, M J; Segal, L; Bresson, J L; van Ganse, E; Jones, P; Moreno, L; Salminen, S; Dubois, D
2012-11-14
Improving health through better nutrition of the population may contribute to enhanced efficiency and sustainability of healthcare systems. A recent expert meeting investigated in detail a number of methodological aspects related to the discipline of nutrition economics. The role of nutrition in health maintenance and in the prevention of non-communicable diseases is now generally recognised. However, the main scope of those seeking to contain healthcare expenditures tends to focus on the management of existing chronic diseases. Identifying additional relevant dimensions to measure and the context of use will become increasingly important in selecting and developing outcome measurements for nutrition interventions. The translation of nutrition-related research data into public health guidance raises the challenging issue of carrying out more pragmatic trials in many areas where these would generate the most useful evidence for health policy decision-making. Nutrition exemplifies all the types of interventions and policy which need evaluating across the health field. There is a need to start actively engaging key stakeholders in order to collect data and to widen health technology assessment approaches for achieving a policy shift from evidence-based medicine to evidence-based decision-making in the field of nutrition.
NASA Astrophysics Data System (ADS)
Wyrwoll, Paul R.; Grafton, R. Quentin; Daniell, Katherine A.; Chu, Hoang Long; Ringler, Claudia; Lien, Le Thi Ha; Khoi, Dang Kim; Do, Thang Nam; Tuan, Nguyen Do Anh
2018-03-01
Systemic threats to food-energy-environment-water systems require national policy responses. Yet complete control of these complex systems is impossible and attempts to mitigate systemic risks can generate unexpected feedback effects. Perverse outcomes from national policy can emerge from the diverse responses of decision-makers across different levels and scales of resource governance. Participatory risk assessment processes can help planners to understand subnational dynamics and ensure that policies do not undermine the resilience of social-ecological systems and infrastructure networks. Researchers can play an important role in participatory processes as both technical specialists and brokers of stakeholder knowledge on the feedbacks generated by systemic risks and policy decisions. Here, we evaluate the use of causal modeling and participatory risk assessment to develop national policy on systemic water risks. We present an application of the Risks and Options Assessment for Decision-Making (ROAD) process to a district of Vietnam where national agricultural water reforms are being piloted. The methods and results of this project provide general insights about how to support resilient decision-making, including the transfer of knowledge across administrative levels, identification of feedback effects, and the effective implementation of risk assessment processes.
Willemsen, M C; Meijer, A; Jannink, M
1999-08-01
A model of strategic decision making was applied to study the implementation of worksite smoking policy. This model assumes there is no best way of implementing smoking policies, but that 'the best way' depends on how decision making fits specific content and context factors. A case study at Wehkamp, a mail-order company, is presented to illustrate the usefulness of this model to understand how organizations implement smoking policies. Interview data were collected from representatives of Wehkamp, and pre- and post-ban survey data were collected from employees. After having failed to solve the smoking problem in a more democratic way, Wehkamp's top management choose a highly confrontational and decentralized decision-making approach to implement a complete smoking ban. This resulted in an effective smoking ban, but was to some extent at the cost of employees' satisfaction with the policy and with how the policy was implemented. The choice of implementation approach was contingent upon specific content and context factors, such as managers' perception of the problem, leadership style and legislation. More case studies from different types of companies are needed to better understand how organizational factors affect decision making about smoking bans and other health promotion innovations.
Antimicrobials in animal agriculture: parables and policy.
Scott, H M; Midgley, G; Loneragan, G H
2015-04-01
In addition to the scientific, economic, regulatory and other policy factors that impact on antimicrobial decision-making in different jurisdictions around the world, there exist ethical, social and cultural bases for the contemporary use of these products in animal agriculture. Thus, the use of the word 'parable' to describe the contemporary moral stories that help to guide ethical antimicrobial use practices and broader policy decisions in animal agriculture is appropriate. Several of these stories reflect difficult decisions that arise from conflicting moral imperatives (i.e. both towards animal welfare and towards human health). Understanding the factors that combine to define the past and present paradigms of antimicrobial usage is crucial to mapping a path forward. There exist barriers, as well as opportunities, for advancing scenarios for reducing antimicrobial usage under a variety of voluntary, regulatory and legal policy frameworks. Any new approaches will ideally be structured to extend the use of present-day antimicrobials into the future, to provide novel alternatives for regulating any newly introduced antimicrobial products so as to maximize their useful life span and to ensure the optimal use of these products in animal agriculture to protect not only the health of animals and the interests of animal health/agriculture stakeholders, but also the human health and the interests of the public at large. A full range of policy approaches, which span the realm from strictly enforced regulations and laws to voluntary guidelines and compliance, should be explored with respect to their risks and benefits in a variety of worldwide settings and in full consideration of a range of stakeholder values. © 2015 Blackwell Verlag GmbH.
Gregory E. Frey; Prakash Nepal
2016-01-01
Economics can affect decisions about forest resource management and utilization, and in turn, the ecosystem benefits received. In a time of market, policy, and climate transformations, economic analyses are critical to help policy-makers and resource managers make appropriate decisions. At the 2016 Meeting of the International Society of Forest Resource Economics (...
School Violence and Its Effect on the Constitutionality of Public School Uniform Policies.
ERIC Educational Resources Information Center
Starr, Jennifer
2000-01-01
The Arizona Court of Appeals, in the first court decision regarding public school uniform policies, held that mandatory school uniforms do not violate students' First Amendment rights. Discusses the Arizona decision and its effect on the structuring of school uniform policies and their potential successful institution at the high school level. (31…
ERIC Educational Resources Information Center
Conlon, Cynthia Kelly
2003-01-01
Examines impact of Supreme Court's 2002 decision in "Board of Education v. Earls" on high school random drug-testing policies and practices. Court held that random drug-testing policy at Tecumseh, Oklahoma, school district did not violate students' Fourth Amendment right against unreasonable searches. (Contains 46 references.) (PKP)
Using Research Evidence to Inform Public Policy Decisions
ERIC Educational Resources Information Center
Moseley, Charles; Kleinert, Harold; Sheppard-Jones, Kathleen; Hall, Stephen
2013-01-01
The application of scientific data in the development and implementation of sound public policy is a well-established practice, but there appears to be less consensus on the nature of the strategies that can and should be used to incorporate research data into policy decisions. This paper describes the promise and the challenges of using research…
Austerity Resistant Social Policies to Protect Employment.
Gelormino, Elena; Marino, Maurizio; Leombruni, Roberto; Costa, Giuseppe
2017-04-01
During the worse phase of the economic downturn, few social policies resisted to the austerity measures imposed to Italy by the European Union. Among them, the most important is the Wage Supplementation Fund, to protect workers and entrepreneurs from bankruptcy and unemployment. Adopting a realist methodology we studied the social mechanisms which are the roots of some political and administrative choices in that period; the public policy decision making approach gave us a theoretical base. Some main mechanisms have been discovered: technical and economic mechanisms overcame politics, social attitudes pushed political choices, the fear of political and social instability drove all parties.
NASA Astrophysics Data System (ADS)
Giuliani, M.; Herman, J. D.; Castelletti, A.; Reed, P. M.
2013-12-01
Institutional inertia strongly limits our ability to adapt water reservoir operations to better manage growing water demands as well as their associated uncertainties in a changing climate. Although it has long been recognized that these systems are generally framed in heterogeneous socio-economic contexts involving a myriad of conflicting, non-commensurable operating objectives, our broader understanding of the multiobjective consequences of current operating rules as well as their vulnerability to hydroclimatic uncertainties is severely limited. This study proposes a decision analytic framework to overcome policy inertia and myopia in complex river basin management contexts. The framework combines reservoir policy identification and many-objective optimization under uncertainty to characterize current operations and discover key tradeoffs between alternative policies for balancing evolving demands and system uncertainties. The approach is demonstrated on the Conowingo Dam, located within the Lower Susquehanna River, USA. The Lower Susquehanna River is an interstate water body that has been subject to intensive water management efforts due to the system's competing demands from urban water supply, atomic power plant cooling, hydropower production, and federally regulated environmental flows. Initially our proposed framework uses available streamflow observations to implicitly identify the Conowingo Dam's current but unknown operating policy. This baseline policy is identified by fitting radial basis functions to existing system dynamics. Our assumption in the baseline policy is that the dam operator is represented as a rational agent seeking to maximize primary operational objectives (i.e., guaranteeing the public water supply and maximizing the hydropower revenue). The quality of the identified baseline policy is evaluated by its ability to replicate historical release dynamics. Once identified, the historical baseline policy then provides a means of representing the decision preferences guiding current operations. Our results show that the estimated policy closely captures the dynamics of current releases and flows for the Lower Susquehanna. After identifying the historical baseline policy, our proposed decision analytic framework then combines evolutionary many-objective optimization with visual analytics to discover improved operating policies. Our Lower Susquehanna results confirm that the system's current history-based operations are negatively biased to overestimate the reliability of the reservoir's multi-sector services. Moreover, our proposed framework has successfully identified alternative reservoir policies that are more robust to hydroclimatic uncertainties while being capable of better addressing the tradeoffs across the Conowingo Dam's multi-sector services.
Accounting for susceptibility in risk assessment: The need for full disclosure.
Fowle Iii, J R
1997-12-01
Many Environmental Laws create the unrealistic expectation that science can be used to determine `safety'. The many uncertainties surrounding environmental risks, as well as individual, group and societal differences about what is considered `safe', make it inevitable that policy decisions must be made. It is appropriate that such decisions be shaped by politics and social issues, as well as be informed by science and economics, but care should be taken to distinguish between policy and fact. Not much is known about the nature and magnitude of environmental susceptibilities. Credible environmental decisions require that scientists, risk assessors and decision-makers acknowledge this, and that they take care to distinguish policy calls from scientific fact.
Strong, Bethany L; Ballard, Sarah-Blythe; Braund, Wendy
2016-12-01
The American College of Preventive Medicine Policy Committee makes policy guidelines and recommendations on preventive medicine and public health topics for public health decision makers. After a review of the current evidence available in 2016, the College is providing a consensus-based set of policy recommendations designed to reduce firearm-related morbidity and mortality in the U.S. These guidelines address seven general areas pertaining to the public health threat posed by firearms: gun sales and background checks, assault weapons and high-capacity weapons, mental health, research funding, gun storage laws, and physician counseling. Copyright © 2016 American Journal of Preventive Medicine. All rights reserved.
Wicked problems: policy contradictions in publicly financed dental care.
Quiñonez, Carlos
2012-01-01
To review two policy issues that define publicly financed dental care as a "wicked policy problem." Historical review. By demonstrating how governments have shifted their funding focus from direct delivery care, to public third-party financing arrangements in private dental offices, and by their willingness to fund composite restorations in public fee schedules, it is clear that the logic and sustainability of public programming needs reconsideration. The current contradictions in public dental care programs speak to the need for policy makers to reassess their goals, and ask whether decisions are based more on political necessity than on a logical evidence-informed approach to the delivery of publicly financed dental care. © 2012 American Association of Public Health Dentistry.
The Value of Information from a GRACE-Enhanced Drought Severity Index
NASA Astrophysics Data System (ADS)
Kuwayama, Y.; Bernknopf, R.; Brookshire, D.; Macauley, M.; Zaitchik, B. F.; Rodell, M.; Vail, P.; Thompson, A.
2015-12-01
In this project, we develop a framework to estimate the economic value of information from the Gravity and Climate Experiment (GRACE) for drought monitoring and to understand how the GRACE Data Assimilation (GRACE-DA) system can inform decision making to improve regional economic outcomes. Specifically, we consider the potential societal value of further incorporating GRACE-DA information into the U.S. Drought Monitor mapmaking process. Research activities include (a) a literature review, (b) a series of listening sessions with experts and stakeholders, (c) the development of a conceptual economic framework based on a Bayesian updating procedure, and (d) an econometric analysis and retrospective case study to understand the GRACE-DA contribution to agricultural policy and production decisions. Taken together, the results from these research activities support our conclusion that GRACE-DA has the potential to lower the variance associated with our understanding of drought and that this improved understanding has the potential to change policy decisions that lead to tangible societal benefits.
Decision making by urgency gating: theory and experimental support.
Thura, David; Beauregard-Racine, Julie; Fradet, Charles-William; Cisek, Paul
2012-12-01
It is often suggested that decisions are made when accumulated sensory information reaches a fixed accuracy criterion. This is supported by many studies showing a gradual build up of neural activity to a threshold. However, the proposal that this build up is caused by sensory accumulation is challenged by findings that decisions are based on information from a time window much shorter than the build-up process. Here, we propose that in natural conditions where the environment can suddenly change, the policy that maximizes reward rate is to estimate evidence by accumulating only novel information and then compare the result to a decreasing accuracy criterion. We suggest that the brain approximates this policy by multiplying an estimate of sensory evidence with a motor-related urgency signal and that the latter is primarily responsible for neural activity build up. We support this hypothesis using human behavioral data from a modified random-dot motion task in which motion coherence changes during each trial.
The effect of state dependent mandate laws on the labor supply decisions of young adults.
Depew, Briggs
2015-01-01
Prior to the Affordable Care Act, the majority of states in the U.S. had already implemented state laws that extended the age that young adults could enroll as dependents on their parent's employer-based health insurance plans. Because of the fundamental link between health insurance and employment in the U.S., such policies may effect the labor supply decisions of young adults. Although the interaction between labor supply and health insurance has been extensively studied for other subpopulations, little is known about the role of health insurance in the labor supply decisions of young adults. I use the variation from the implementation and changes in state policies that expanded dependent health insurance coverage to examine how young adults adjusted their labor supply when they were able to be covered as a dependent on their parent's plan. I find that these state mandates led to a decrease in labor supply on the intensive margin. Copyright © 2014 Elsevier B.V. All rights reserved.
A Layered Decision Model for Cost-Effective System Security
DOE Office of Scientific and Technical Information (OSTI.GOV)
Wei, Huaqiang; Alves-Foss, James; Soule, Terry
System security involves decisions in at least three areas: identification of well-defined security policies, selection of cost-effective defence strategies, and implementation of real-time defence tactics. Although choices made in each of these areas affect the others, existing decision models typically handle these three decision areas in isolation. There is no comprehensive tool that can integrate them to provide a single efficient model for safeguarding a network. In addition, there is no clear way to determine which particular combinations of defence decisions result in cost-effective solutions. To address these problems, this paper introduces a Layered Decision Model (LDM) for use inmore » deciding how to address defence decisions based on their cost-effectiveness. To validate the LDM and illustrate how it is used, we used simulation to test model rationality and applied the LDM to the design of system security for an e-commercial business case.« less
Land-Based Air Power in Third World Crises
1986-07-01
Doctrine, Research, and Education (CADRE) or the Department of the Air Force . This publication has been reviewed by security and policy review...many of the places in Europe, Africa, and Asia that figure in this work. He is now working as a Historian at Air Force Systems Command’s Armament...achieving a range of policy objectives . At one end of the spectrum there should be available to the decision maker a low -level or limited military response
An Analysis of the President’s Budgetary Proposals for Fiscal Year 2005
2004-03-01
productivity —which represents the state of technological know-how. The model is not forward-looking—people base their decisions entirely on...Bottles: A Meta-Analysis of Ricardian Equivalence,” Southern Economic Journal, vol. 64, no. 3 (January 1998), pp. 713-727. APPENDIX B THE MODELS ...Under the President’s Budget and UnderCBO’s Baseline Policy Assumptions 25How Fiscal Policy Affects the Economy 28 A Description of CBO’s Models and
National Security Policy and Security Challenges of Maldives
2014-06-13
creates the true problems the Maldivians are currently facing. Hidden agendas, unprofessionalism, and low ethical standards of politicians and...based on sharia law. The theories of cultural relativism and democracy strongly advocate the freedoms of societies, thus the Maldivian decision as a
Future Trends in Business Travel Decision Making
NASA Technical Reports Server (NTRS)
Mason, Keith J.
2002-01-01
This research surveys twenty large companies and their travellers to identify and evaluate the effects of pressures on the business travel market in the future. The influence of the following areas on the decision making process are addressed: (1) Corporate travel policies and increasing professionalism in corporate purchasing; (2) The development of global strategic airline alliances; (3) The emergence of low cost airlines on short haul markets; and (4) The development of internet based booking tools and travel agency IT. The survey shows differences in views between travel managers, and travellers with regard to corporate travel policies. While travel managers see policy rules, travellers interpret these as guidelines, indicating travel managers will need to take further actions to exercise true control of travel budgets. The data shows that companies are more likely to prescribe a class of airline ticket, than the choice of airline itself. Corporate hierarchical bias in travel policies is still common both for short and particularly long haul flying. Other findings show that while travel managers believe that their companies are likely to sign global deals with strategic airline groups within a five year period in a bid to consolidating spending, they also believe that nearly a third of short haul flying will be taken with low cost carriers, indicating further penetration in this business travel market by these carriers. The paper also provides other predictions about the business travel market, based on the survey findings.
Kwak, Seung-Jun; Yoo, Seung-Hoon; Shin, Chol-Oh
2002-02-01
Evaluating environmental impacts has become an increasingly vital part of environmental management. In the present study, a methodological procedure based on multiattribute utility theory (MAUT) has been applied to obtain a decision-maker's value index on assessment of the environmental impacts. The paper begins with an overview of MAUT. Next, we elicited strategic objectives and several important attributes, and then structured them into a hierarchy, with the aim of structuring and quantifying the basic values for the assessment. An environmental multiattribute index is constructed as a multiattribute utility function, based on value judgements provided by a decision-maker at the Korean Ministry of Environment (MOE). The implications of the results are useful for many aspects of MOE's environmental policies; identifying the strategic objectives and basic values; facilitating communication about the organization's priorities; and recognizing decision opportunities that face decision-makers of Korea.
ERIC Educational Resources Information Center
Kivela, Jari; Haldre, Kai; Part, Kai; Ketting, Evert; Baltussen, Rob
2014-01-01
Policy-makers making decisions on the implementation of school-based sexuality education (SE) programmes face two important questions: (1) what are the costs of implementing and scaling up SE programmes, and (2) what are the impacts? This paper responds to these questions by retrospectively assessing costs, impact and cost-effectiveness of the…
Home Care Quality Indicators (HCQIS) Based on the MDS-HC
ERIC Educational Resources Information Center
Hirdes, John P.; Fries, Brant E.; Morris, John N.; Ikegami, Naoki; Zimmerman, David; Dalby, Dawn M.; Aliaga, Pablo; Hammer, Suzanne; Jones, Richard
2004-01-01
Purpose: This study aimed to develop home care quality indicators (HCQIs) to be used by a variety of audiences including consumers, agencies, regulators, and policy makers to support evidence-based decision making related to the quality of home care services. Design and Methods: Data from 3,041 Canadian and 11,252 U.S. home care clients assessed…
ERIC Educational Resources Information Center
Center for Population Options, Washington, DC.
School-based clinics (SBCs) are comprehensive primary health care facilities located within or on the grounds of middle, junior, or senior high schools. Varying in size and organizational structure, SBCs have emerged as an effective model for advancing adolescent health. They have gained attention because of their potential for treating problems…
Who knows? Local non-timber forest product knowledge and stewardship practices in northern Michigan
Marla R. Emery
2001-01-01
Non-timber forest product (NTFP) literature frequently laments the absence of an information base for policy and management decisions. While formal scientific data on the biological and social ecologies of most NTFPs are limited to nonexistent, long-time gatherers often have extensive experiential knowledge bases. Researchers and managers may overlook this expertise...
Applying gene flow science to environmental policy needs: a boundary work perspective.
Ridley, Caroline E; Alexander, Laurie C
2016-08-01
One application of gene flow science is the policy arena. In this article, we describe two examples in which the topic of gene flow has entered into the U.S. national environmental policymaking process: regulation of genetically engineered crops and clarification of the jurisdictional scope of the Clean Water Act. We summarize both current scientific understanding and the legal context within which gene flow science has relevance. We also discuss the process by which scientific knowledge has been synthesized and communicated to decision-makers in these two contexts utilizing the concept of 'boundary work'. Boundary organizations, the work they engage in to bridge the worlds of science, policy, and practice, and the boundary objects they produce to translate scientific knowledge existed in both examples. However, the specific activities and attributes of the objects produced varied based on the needs of the decision-makers. We close with suggestions for how scientists can contribute to or engage in boundary work with policymakers.
Morone, Piergiuseppe; Camacho Cuena, Eva; Kocur, Ivo; Banatvala, Nicholas
2014-05-01
This article empirically evaluates advocacy in low- and middle-income countries as a key tool for raising policy priority and securing high-level decision maker support in eye health. We used a unique data set based on a survey conducted by World Health Organization in 2011 on eye care and prevention of blindness in 82 low- and middle-income countries. The theoretical framework derives from the idea that a plethora of stakeholders at local and global level pressure national governments, acting in economic and the political spheres. Previously, eye care has not been investigated in such a framework. We found structural differences across countries with different income levels and proposed policy recommendations to secure high-level decision makers' support for promoting eye health. Three case studies suggest that, in order to secure more support and resources for eye health, domestic and international stakeholders must strengthen their engagement with ministries of health at political and above all economic levels.
Many faces of rationality: Implications of the great rationality debate for clinical decision‐making
Elqayam, Shira
2017-01-01
Abstract Given that more than 30% of healthcare costs are wasted on inappropriate care, suboptimal care is increasingly connected to the quality of medical decisions. It has been argued that personal decisions are the leading cause of death, and 80% of healthcare expenditures result from physicians' decisions. Therefore, improving healthcare necessitates improving medical decisions, ie, making decisions (more) rational. Drawing on writings from The Great Rationality Debate from the fields of philosophy, economics, and psychology, we identify core ingredients of rationality commonly encountered across various theoretical models. Rationality is typically classified under umbrella of normative (addressing the question how people “should” or “ought to” make their decisions) and descriptive theories of decision‐making (which portray how people actually make their decisions). Normative theories of rational thought of relevance to medicine include epistemic theories that direct practice of evidence‐based medicine and expected utility theory, which provides the basis for widely used clinical decision analyses. Descriptive theories of rationality of direct relevance to medical decision‐making include bounded rationality, argumentative theory of reasoning, adaptive rationality, dual processing model of rationality, regret‐based rationality, pragmatic/substantive rationality, and meta‐rationality. For the first time, we provide a review of wide range of theories and models of rationality. We showed that what is “rational” behaviour under one rationality theory may be irrational under the other theory. We also showed that context is of paramount importance to rationality and that no one model of rationality can possibly fit all contexts. We suggest that in context‐poor situations, such as policy decision‐making, normative theories based on expected utility informed by best research evidence may provide the optimal approach to medical decision‐making, whereas in the context‐rich circumstances other types of rationality, informed by human cognitive architecture and driven by intuition and emotions such as the aim to minimize regret, may provide better solution to the problem at hand. The choice of theory under which we operate is important as it determines both policy and our individual decision‐making. PMID:28730671
Ren, Jingzheng; Liang, Hanwei; Dong, Liang; Sun, Lu; Gao, Zhiqiu
2016-08-15
Industrial symbiosis provides novel and practical pathway to the design for the sustainability. Decision support tool for its verification is necessary for practitioners and policy makers, while to date, quantitative research is limited. The objective of this work is to present an innovative approach for supporting decision-making in the design for the sustainability with the implementation of industrial symbiosis in chemical complex. Through incorporating the emergy theory, the model is formulated as a multi-objective approach that can optimize both the economic benefit and sustainable performance of the integrated industrial system. A set of emergy based evaluation index are designed. Multi-objective Particle Swarm Algorithm is proposed to solve the model, and the decision-makers are allowed to choose the suitable solutions form the Pareto solutions. An illustrative case has been studied by the proposed method, a few of compromises between high profitability and high sustainability can be obtained for the decision-makers/stakeholders to make decision. Copyright © 2016 Elsevier B.V. All rights reserved.
Water Planning in Phoenix: Managing Risk in the Face of Climatic Uncertainty
NASA Astrophysics Data System (ADS)
Gober, P.
2009-12-01
The Decision Center for a Desert City (DCDC) was founded in 2004 to develop scientifically-credible support tools to improve water management decisions in the face of growing climatic uncertainty and rapid urbanization in metropolitan Phoenix. At the center of DCDC's effort is WaterSim, a model that integrates information about water supply from groundwater, the Colorado River, and upstream watersheds and water demand from land use change and population growth. Decision levers enable users to manipulate model outcomes in response to climate change scenarios, drought conditions, population growth rates, technology innovations, lifestyle changes, and policy decisions. WaterSim allows users to examine the risks of water shortage from global climate change, the tradeoffs between groundwater sustainability and lifestyle choices, the effects of various policy decisions, and the consequences of delaying policy for the exposure to risk. WaterSim is an important point of contact for DCDC’s relationships with local decision makers. Knowledge, tools, and visualizations are co-produced—by scientists and policy makers, and the Center’s social scientists mine this co-production process for new insights about model development and application. WaterSim is less a static scientific product and more a dynamic process of engagement between decision makers and scientists.
Human Judgment and Decision Making: A Proposed Decision Model Using Sequential Processing
1985-08-01
to the issues noted above is called policy capturing ( Szilagyi and Wallace , 1983). 4 The purpose of policy capturing is to develop a decision making...papers have been written on this general subject. A concise overview of this discipline is found in Szilagyi and Wallace (1983). Basically, decision models... Szilagyi , A. and Wallace , H. Organizational Behavior and Performance (3rd Ed.), Scott, Foresman and Company, 1983. Taylor, R. L. and Wilsted, W. D
Exploration of agent of change’s role in biodiesel energy transition process using agent-based model
NASA Astrophysics Data System (ADS)
Hidayatno, A.; Vicky, L. R.; Destyanto, A. R.
2017-11-01
As the world’s largest Crude Palm Oil (CPO) producer, Indonesia uses CPO as raw material for biodiesel. A number of policies have been designed by the Indonesian government to support adoption of biodiesel. However, the role of energy alternatives faced complex problems. Agent-based modeling can be applied to predict the impact of policies on the actors in the business process to acquire a rich discernment of the behavior and decision making by the biodiesel industries. This study evaluates government policy by attending at the adoption of the biodiesel industry in the tender run by a government with the intervention of two policy options biodiesel energy utilization by developing an agent-based model. The simulation result show that the policy of adding the biodiesel plant installed capacity has a good impact in increasing the production capacity and vendor adoption in the tender. Even so, the government should consider the cost to be incurred and the profits for vendors, so the biodiesel production targets can be successfully fulfilled.
Stakeholder assessment of comparative effectiveness research needs for Medicaid populations.
Fischer, Michael A; Allen-Coleman, Cora; Farrell, Stephen F; Schneeweiss, Sebastian
2015-09-01
Patients, providers and policy-makers rely heavily on comparative effectiveness research (CER) when making complex, real-world medical decisions. In particular, Medicaid providers and policy-makers face unique challenges in decision-making because their program cares for traditionally underserved populations, especially children, pregnant women and people with mental illness. Because these patient populations have generally been underrepresented in research discussions, CER questions for these groups may be understudied. To address this problem, the Agency for Healthcare Research and Quality commissioned our team to work with Medicaid Medical Directors and other stakeholders to identify relevant CER questions. Through an iterative process of topic identification and refinement, we developed relevant, feasible and actionable questions based on issues affecting Medicaid programs nationwide. We describe challenges and limitations and provide recommendations for future stakeholder engagement.
Stakeholder assessment of comparative effectiveness research needs for Medicaid populations
Fischer, Michael A; Allen-Coleman, Cora; Farrell, Stephen F; Schneeweiss, Sebastian
2015-01-01
Patients, providers and policy-makers rely heavily on comparative effectiveness research (CER) when making complex, real-world medical decisions. In particular, Medicaid providers and policy-makers face unique challenges in decision-making because their program cares for traditionally underserved populations, especially children, pregnant women and people with mental illness. Because these patient populations have generally been underrepresented in research discussions, CER questions for these groups may be understudied. To address this problem, the Agency for Healthcare Research and Quality commissioned our team to work with Medicaid Medical Directors and other stakeholders to identify relevant CER questions. Through an iterative process of topic identification and refinement, we developed relevant, feasible and actionable questions based on issues affecting Medicaid programs nationwide. We describe challenges and limitations and provide recommendations for future stakeholder engagement. PMID:26388438