Sample records for policy decisions methods
-
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.
-
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.
-
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,…
-
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.
-
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.
-
Real options analysis for land use management: Methods, application, and implications for policy.
Regan, Courtney M; Bryan, Brett A; Connor, Jeffery D; Meyer, Wayne S; Ostendorf, Bertram; Zhu, Zili; Bao, Chenming
2015-09-15
Discounted cash flow analysis, including net present value is an established way to value land use and management investments which accounts for the time-value of money. However, it provides a static view and assumes passive commitment to an investment strategy when real world land use and management investment decisions are characterised by uncertainty, irreversibility, change, and adaptation. Real options analysis has been proposed as a better valuation method under uncertainty and where the opportunity exists to delay investment decisions, pending more information. We briefly review the use of discounted cash flow methods in land use and management and discuss their benefits and limitations. We then provide an overview of real options analysis, describe the main analytical methods, and summarize its application to land use investment decisions. Real options analysis is largely underutilized in evaluating land use decisions, despite uncertainty in policy and economic drivers, the irreversibility and sunk costs involved. New simulation methods offer the potential for overcoming current technical challenges to implementation as demonstrated with a real options simulation model used to evaluate an agricultural land use decision in South Australia. We conclude that considering option values in future policy design will provide a more realistic assessment of landholder investment decision making and provide insights for improved policy performance. Copyright © 2015 Elsevier Ltd. All rights reserved.
-
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,…
-
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.
-
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.
-
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
-
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.
-
Socio-Hydrology Modelling for an Uncertain Future, with Examples from the USA and Canada (Invited)
NASA Astrophysics Data System (ADS)
White, D. D.; Gober, P.; Sampson, D. A.; Quay, R.; Kirkwood, C.
2013-12-01
Socio-hydrology brings an interest in human values, markets, social organizations and public policy to the traditional emphasis of water science on climate, hydrology, toxicology,and ecology. It also conveys a decision focus in the form of decision support tools, engagement, and new knowledge about the science-policy interface. This paper demonstrates how policy decisions and human behavior can be better integrated into climate and hydrological models to improve their usefulness for support in decision making. Examples from the Southwest USA and Western Canada highlight uncertainties, vulnerabilities, and critical tradeoffs facing water decision makers in the face of rapidly changing environmental and societal conditions. Irreducible uncertainties in downscaled climate and hydrological models limit the usefulness of climate-driven, predict-and-plan methods of water resource planning and management. Thus, it is argued that such methods should be replaced by approaches that use exploratory modelling, scenario planning, and risk assessment in which the emphasis is on managing uncertainty rather than on reducing it.
-
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
-
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.
-
Ensemble modelling and structured decision-making to support Emergency Disease Management.
Webb, Colleen T; Ferrari, Matthew; Lindström, Tom; Carpenter, Tim; Dürr, Salome; Garner, Graeme; Jewell, Chris; Stevenson, Mark; Ward, Michael P; Werkman, Marleen; Backer, Jantien; Tildesley, Michael
2017-03-01
Epidemiological models in animal health are commonly used as decision-support tools to understand the impact of various control actions on infection spread in susceptible populations. Different models contain different assumptions and parameterizations, and policy decisions might be improved by considering outputs from multiple models. However, a transparent decision-support framework to integrate outputs from multiple models is nascent in epidemiology. Ensemble modelling and structured decision-making integrate the outputs of multiple models, compare policy actions and support policy decision-making. We briefly review the epidemiological application of ensemble modelling and structured decision-making and illustrate the potential of these methods using foot and mouth disease (FMD) models. In case study one, we apply structured decision-making to compare five possible control actions across three FMD models and show which control actions and outbreak costs are robustly supported and which are impacted by model uncertainty. In case study two, we develop a methodology for weighting the outputs of different models and show how different weighting schemes may impact the choice of control action. Using these case studies, we broadly illustrate the potential of ensemble modelling and structured decision-making in epidemiology to provide better information for decision-making and outline necessary development of these methods for their further application. Crown Copyright © 2017. Published by Elsevier B.V. All rights reserved.
-
Nabyonga-Orem, Juliet; Mijumbi, Rhona
2015-01-01
Background: Although there is a general agreement on the benefits of evidence informed health policy development given resource constraints especially in Low-Income Countries (LICs), the definition of what evidence is, and what evidence is suitable to guide decision-making is still unclear. Our study is contributing to filling this knowledge gap. We aimed to explore health policy actors’ views regarding what evidence they deemed appropriate to guide health policy development. Methods: Using exploratory qualitative methods, we conducted interviews with 51 key informants using an in-depth interview guide. We interviewed a diverse group of stakeholders in health policy development and knowledge translation in the Uganda health sector. Data were analyzed using inductive content analysis techniques. Results: Different stakeholders lay emphasis on different kinds of evidence. While donors preferred international evidence and Ministry of Health (MoH) officials looked to local evidence, district health managers preferred local evidence, evidence from routine monitoring and evaluation, and reports from service providers. Service providers on the other hand preferred local evidence and routine monitoring and evaluation reports whilst researchers preferred systematic reviews and clinical trials. Stakeholders preferred evidence covering several aspects impacting on decision-making highlighting the fact that although policy actors look for factual information, they also require evidence on context and implementation feasibility of a policy decision. Conclusion: What LICs like Uganda categorize as evidence suitable for informing policy encompasses several types with no consensus on what is deemed as most appropriate. Evidence must be of high quality, applicable, acceptable to the users, and informing different aspects of decision-making. PMID:25905479
-
A decision-analytic approach to predict state regulation of hydraulic fracturing.
Linkov, Igor; Trump, Benjamin; Jin, David; Mazurczak, Marcin; Schreurs, Miranda
2014-01-01
The development of horizontal drilling and hydraulic fracturing methods has dramatically increased the potential for the extraction of previously unrecoverable natural gas. Nonetheless, the potential risks and hazards associated with such technologies are not without controversy and are compounded by frequently changing information and an uncertain landscape of international politics and laws. Where each nation has its own energy policies and laws, predicting how a state with natural gas reserves that require hydraulic fracturing will regulate the industry is of paramount importance for potential developers and extractors. We present a method for predicting hydraulic fracturing decisions using multiple-criteria decision analysis. The case study evaluates the decisions of five hypothetical countries with differing political, social, environmental, and economic priorities, choosing among four policy alternatives: open hydraulic fracturing, limited hydraulic fracturing, completely banned hydraulic fracturing, and a cap and trade program. The result is a model that identifies the preferred policy alternative for each archetypal country and demonstrates the sensitivity the decision to particular metrics. Armed with such information, observers can predict each country's likely decisions related to natural gas exploration as more data become available or political situations change. Decision analysis provides a method to manage uncertainty and address forecasting concerns where rich and objective data may be lacking. For the case of hydraulic fracturing, the various political pressures and extreme uncertainty regarding the technology's risks and benefits serve as a prime platform to demonstrate how decision analysis can be used to predict future behaviors.
-
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.
-
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.
-
Mixing Methods in Assessing Coaches' Decision Making
ERIC Educational Resources Information Center
Vergeer, Ineke; Lyle, John
2007-01-01
Mixing methods has recently achieved respectability as an appropriate approach to research design, offering a variety of advantages (Tashakkori & Teddlie, 2003). The purpose of this paper is to outline and evaluate a mixed methods approach within the domain of coaches' decision making. Illustrated with data from a policy-capturing study on…
-
Measuring use of research evidence in public health policy: a policy content analysis
2014-01-01
Background There are few Australian studies showing how research evidence is used to inform the development of public health policy. International research has shown that compensation for injury rehabilitation can have negative impacts on health outcomes. This study examined transport injury compensation policy in the Australian state of Victoria to: determine type and purpose of reference to information sources; and to identify the extent of reference to academic research evidence in transport related injury rehabilitation compensation policy. Methods Quantitative content analysis of injury rehabilitation compensation policies (N = 128) from the Victorian state government transport accident compensation authority. Results The most commonly referenced types of information were Internal Policy (median = 6 references per policy), Clinical/Medical (2.5), and Internal Legislation (1). Academic Research Evidence was the least often referenced source of information. The main purpose of reference to information was to support injury treatment and rehabilitation compensation claims decision-making. Conclusions Transport injury compensation policy development is complex; with multiple sources of information cited including legislation, internal policy, external policy and clinical/medical evidence. There is limited use of academic research evidence in Victorian state government injury treatment and rehabilitation compensation policies. Decisions regarding compensation for injury treatment and rehabilitation services could benefit from greater use of academic research evidence. This study is one of the first to examine the use of research evidence in existing Australian public health policy decision-making using rigorous quantitative methods. It provides a practical example of how use of research evidence in public health policy can be objectively measured. PMID:24886092
-
Parental Rights and the Foster Care System: A Glimpse of Decision Making in Virginia
ERIC Educational Resources Information Center
McWey, Lenore M.; Henderson, Tammy L.; Alexander, Jenny Burroughs
2008-01-01
Using ecological theory and a mixed-methods approach, the authors examined family-court interactions for foster care decisions made in Virginia across three policy periods: 1980 to 1993, 1994 to 1997, and 1997 to present (N = 95). For the first and last policy periods, quantitative analyses revealed significant differences in the rates at which…
-
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
Marsh, Julie A.; McCombs, Jennifer Sloan; Martorell, Francisco
2010-01-01
This article examines the convergence of two popular school improvement policies: instructional coaching and data-driven decision making (DDDM). Drawing on a mixed methods study of a statewide reading coach program in Florida middle schools, the article examines how coaches support DDDM and how this support relates to student and teacher outcomes.…
-
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.
-
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.
-
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.
-
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.
-
Costs and Benefits of Policy-Oriented Community Research: A Case Study.
ERIC Educational Resources Information Center
Brand, Stephen; Moore, Thom
Recent developments in the social policy literature suggest a growing overlap in community and social policy interests and methods. This combination of community and policy interests is illustrated by tracing successive steps of the Illinois Residential Life Survey in order to support programming decisions about community mental health in a…
-
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.
-
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.
-
[The role of Health Impact Assessment (HIA) in the decision-making].
Signorelli, Carlo; Riccò, Matteo; Odone, Anna
2011-01-01
The review describes the evolution of the environmental policies in Italy underlying current delays and discords between the environment and its effects on human health. It also tries to define the major barriers to the introduction of the health impact assessment (HIA) in government policy-making process in Italy; the lack of regulations and the lack of methods to perform an HIA are the main reasons for its limited use. Epidemiology is a fundamental tool to produce effective health impact assessments along with a deep knowledge of medicine, environmental hygiene and risk communication. In conclusion, should the Italian scientific community agreed on a common and constructive approach avoiding possible exploitations and conflicts of interest, HIA could be a valuable method for helping to develop environmental policies and assisting policy-makers in important decisions.
-
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.
-
Building a maintenance policy through a multi-criterion decision-making model
NASA Astrophysics Data System (ADS)
Faghihinia, Elahe; Mollaverdi, Naser
2012-08-01
A major competitive advantage of production and service systems is establishing a proper maintenance policy. Therefore, maintenance managers should make maintenance decisions that best fit their systems. Multi-criterion decision-making methods can take into account a number of aspects associated with the competitiveness factors of a system. This paper presents a multi-criterion decision-aided maintenance model with three criteria that have more influence on decision making: reliability, maintenance cost, and maintenance downtime. The Bayesian approach has been applied to confront maintenance failure data shortage. Therefore, the model seeks to make the best compromise between these three criteria and establish replacement intervals using Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE II), integrating the Bayesian approach with regard to the preference of the decision maker to the problem. Finally, using a numerical application, the model has been illustrated, and for a visual realization and an illustrative sensitivity analysis, PROMETHEE GAIA (the visual interactive module) has been used. Use of PROMETHEE II and PROMETHEE GAIA has been made with Decision Lab software. A sensitivity analysis has been made to verify the robustness of certain parameters of the model.
-
Drug Testing in Schools: Implications for Policy.
ERIC Educational Resources Information Center
Bozeman, William C.; And Others
1987-01-01
Public concern about substance abuse, fueled by political and media attention, is causing school administrators to consider a variety of approaches beyond traditional drug education. No procedures, methods, or rules regarding drug testing should be established in the absence of clear school board policy, and no policy decisions should be made…
-
ERIC Educational Resources Information Center
Wauters, E.; Mathijs, E.
2013-01-01
Purpose: The aim of this article is to present and apply a method to investigate farmers' socio-psychological determinants of conservation practice adoption, as an aid in extension, policy and conservation practice design. Design/methodology/approach: We use a sequential mixed method, starting with qualitative semi-structured interviews (n = 24),…
-
How Qualitative Research Informs Clinical and Policy Decision Making in Transplantation: A Review.
Tong, Allison; Morton, Rachael L; Webster, Angela C
2016-09-01
Patient-centered care is no longer just a buzzword. It is now widely touted as a cornerstone in delivering quality care across all fields of medicine. However, patient-centered strategies and interventions necessitate evidence about patients' decision-making processes, values, priorities, and needs. Qualitative research is particularly well suited to understanding the experience and perspective of patients, donors, clinicians, and policy makers on a wide range of transplantation-related topics including organ donation and allocation, adherence to prescribed therapy, pretransplant and posttransplant care, implementation of clinical guidelines, and doctor-patient communication. In transplantation, evidence derived from qualitative research has been integrated into strategies for shared decision-making, patient educational resources, process evaluations of trials, clinical guidelines, and policies. The aim of this article is to outline key concepts and methods used in qualitative research, guide the appraisal of qualitative studies, and assist clinicians to understand how qualitative research may inform their practice and policy.
-
Applying multi-criteria decision-making to improve the waste reduction policy in Taiwan.
Su, Jun-Pin; Hung, Ming-Lung; Chao, Chia-Wei; Ma, Hwong-wen
2010-01-01
Over the past two decades, the waste reduction problem has been a major issue in environmental protection. Both recycling and waste reduction policies have become increasingly important. As the complexity of decision-making has increased, it has become evident that more factors must be considered in the development and implementation of policies aimed at resource recycling and waste reduction. There are many studies focused on waste management excluding waste reduction. This study paid more attention to waste reduction. Social, economic, and management aspects of waste treatment policies were considered in this study. Further, a life-cycle assessment model was applied as an evaluation system for the environmental aspect. Results of both quantitative and qualitative analyses on the social, economic, and management aspects were integrated via the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method into the comprehensive decision-making support system of multi-criteria decision-making (MCDM). A case study evaluating the waste reduction policy in Taoyuan County is presented to demonstrate the feasibility of this model. In the case study, reinforcement of MSW sorting was shown to be the best practice. The model in this study can be applied to other cities faced with the waste reduction problems.
-
12 CFR Appendix B to Part 741 - Guidance for an Interest Rate Risk Policy and an Effective Program
Code of Federal Regulations, 2013 CFR
2013-01-01
... Measurement Methods C. Components of IRR Measurement Methods V. Internal Controls VI. Decision-Making Informed... effective IRR management program identifies, measures, monitors, and controls IRR and is central to safe and... critical to the control of IRR exposure. All FICUs required to have an IRR policy and program should...
-
12 CFR Appendix B to Part 741 - Guidance for an Interest Rate Risk Policy and an Effective Program
Code of Federal Regulations, 2014 CFR
2014-01-01
... Measurement Methods C. Components of IRR Measurement Methods V. Internal Controls VI. Decision-Making Informed... effective IRR management program identifies, measures, monitors, and controls IRR and is central to safe and... critical to the control of IRR exposure. All FICUs required to have an IRR policy and program should...
-
Teerawattananon, Yot; Russell, Steve
2008-01-01
Background This paper presents qualitative findings from an assessment of the acceptability of using economic evaluation among policy actors in Thailand. Using cost-utility data from two economic analyses a hypothetical case scenario was created in which policy actors had to choose between two competing interventions to include in a public health benefit package. The two competing interventions, laparoscopic cholecystectomy (LC) for gallbladder disease versus renal dialysis for chronic renal disease, were selected because they highlighted conflicting criteria influencing the allocation of healthcare resources. Methods Semi-structured interviews were conducted with 36 policy actors who play a major role in resource allocation decisions within the Thai healthcare system. These included 14 policy makers at the national level, five hospital directors, ten health professionals and seven academics. Results Twenty six out of 36 (72%) respondents were not convinced by the presentation of economic evaluation findings and chose not to support the inclusion of a proven cost-effective intervention (LC) in the benefit package due to ethical, institutional and political considerations. There were only six respondents, including three policy makers at national level, one hospital director, one health professional and one academic, (6/36, 17%) whose decisions were influenced by economic evaluation evidence. Conclusion This paper illustrates limitations of using economic evaluation information in decision making priorities of health care, perceived by different policy actors. It demonstrates that the concept of maximising health utility fails to recognise other important societal values in making health resource allocation decisions. PMID:18817579
-
Influence Diagrams as Decision-Making Tools for Pesticide Risk Management
The pesticide policy arena is filled with discussion of probabilistic approaches to assess ecological risk, however, similar discussions about implementing formal probabilistic methods in pesticide risk decision making are less common. An influence diagram approach is proposed f...
-
Hess, Jeremy J.; Ebi, Kristie L.; Markandya, Anil; Balbus, John M.; Wilkinson, Paul; Haines, Andy; Chalabi, Zaid
2014-01-01
Background: Policy decisions regarding climate change mitigation are increasingly incorporating the beneficial and adverse health impacts of greenhouse gas emission reduction strategies. Studies of such co-benefits and co-harms involve modeling approaches requiring a range of analytic decisions that affect the model output. Objective: Our objective was to assess analytic decisions regarding model framework, structure, choice of parameters, and handling of uncertainty when modeling health co-benefits, and to make recommendations for improvements that could increase policy uptake. Methods: We describe the assumptions and analytic decisions underlying models of mitigation co-benefits, examining their effects on modeling outputs, and consider tools for quantifying uncertainty. Discussion: There is considerable variation in approaches to valuation metrics, discounting methods, uncertainty characterization and propagation, and assessment of low-probability/high-impact events. There is also variable inclusion of adverse impacts of mitigation policies, and limited extension of modeling domains to include implementation considerations. Going forward, co-benefits modeling efforts should be carried out in collaboration with policy makers; these efforts should include the full range of positive and negative impacts and critical uncertainties, as well as a range of discount rates, and should explicitly characterize uncertainty. We make recommendations to improve the rigor and consistency of modeling of health co-benefits. Conclusion: Modeling health co-benefits requires systematic consideration of the suitability of model assumptions, of what should be included and excluded from the model framework, and how uncertainty should be treated. Increased attention to these and other analytic decisions has the potential to increase the policy relevance and application of co-benefits modeling studies, potentially helping policy makers to maximize mitigation potential while simultaneously improving health. Citation: Remais JV, Hess JJ, Ebi KL, Markandya A, Balbus JM, Wilkinson P, Haines A, Chalabi Z. 2014. Estimating the health effects of greenhouse gas mitigation strategies: addressing parametric, model, and valuation challenges. Environ Health Perspect 122:447–455; http://dx.doi.org/10.1289/ehp.1306744 PMID:24583270
-
From Data to Improved Decisions: Operations Research in Healthcare Delivery.
Capan, Muge; Khojandi, Anahita; Denton, Brian T; Williams, Kimberly D; Ayer, Turgay; Chhatwal, Jagpreet; Kurt, Murat; Lobo, Jennifer Mason; Roberts, Mark S; Zaric, Greg; Zhang, Shengfan; Schwartz, J Sanford
2017-11-01
The Operations Research Interest Group (ORIG) within the Society of Medical Decision Making (SMDM) is a multidisciplinary interest group of professionals that specializes in taking an analytical approach to medical decision making and healthcare delivery. ORIG is interested in leveraging mathematical methods associated with the field of Operations Research (OR) to obtain data-driven solutions to complex healthcare problems and encourage collaborations across disciplines. This paper introduces OR for the non-expert and draws attention to opportunities where OR can be utilized to facilitate solutions to healthcare problems. Decision making is the process of choosing between possible solutions to a problem with respect to certain metrics. OR concepts can help systematically improve decision making through efficient modeling techniques while accounting for relevant constraints. Depending on the problem, methods that are part of OR (e.g., linear programming, Markov Decision Processes) or methods that are derived from related fields (e.g., regression from statistics) can be incorporated into the solution approach. This paper highlights the characteristics of different OR methods that have been applied to healthcare decision making and provides examples of emerging research opportunities. We illustrate OR applications in healthcare using previous studies, including diagnosis and treatment of diseases, organ transplants, and patient flow decisions. Further, we provide a selection of emerging areas for utilizing OR. There is a timely need to inform practitioners and policy makers of the benefits of using OR techniques in solving healthcare problems. OR methods can support the development of sustainable long-term solutions across disease management, service delivery, and health policies by optimizing the performance of system elements and analyzing their interaction while considering relevant constraints.
-
Methane Leakage from Natural Gas Systems: Comparisons, Communication, and Policy Relevance (Invited)
NASA Astrophysics Data System (ADS)
Weber, C.; Clavin, C.; Mueller, K. L.
2013-12-01
Increases in domestic natural gas production from shale gas and tight oil resources have ignited a scientific and policy debate about the climate implications of increasing levels of natural gas utilization on a national and global scale. The debate has primarily centered on characterizing the life-cycle greenhouse gas emissions associated with natural gas electricity generation or transportation. As such, there has been significant recent attention to estimating upstream methane and CO2 emissions from natural gas production, processing, transmission, and distribution using either bottom-up inventory or top-down atmospheric methods ranging from regional to global scales. Due to the general scarcity of measured data, the highly variable production practices of the oil & gas industry, and the different geological conditions under which the industry operates, determining methane emissions (sometimes calculated as a 'leakage rate') and overall climate impact over a policy-relevant spatial and temporal scale has been highly challenging. This unsettled state of the science exists as energy and climate policy decisions are being made in tandem with scientific knowledge generation, while at the same time production practices continue to change in a quickly innovating industry. This research critically reviews the work to date on quantifying methane leakage and life-cycle greenhouse gas implications of unconventional onshore oil & gas compared to other fuels such as coal. We take the perspective of a national-level U.S. decision-maker and ask how different methods (inventories, device-level measurements, regional and national inversions) can contribute to the information needed to make informed energy and climate policy decision regarding unconventional resources. Different methods have different strengths, weaknesses, and uncertainties, and such differences must be accounted for properly to ensure usefulness. We find that most work to date has suffered from one or more of several flaws that decrease the policy applicability of scientific results. These include inconsistent metric definitions (particularly related to the 'methane leakage' metric), inconsistent comparisons between studies with different scopes and temporal and spatial boundaries, and a failure to properly distinguish between emissions associated with oil, gas, and other co-products. We conclude that in order for policy decisions to be made in the needed timeframe given the current speed of development, scientists from different communities must work together to develop common strategies for communicating results and interpreting differences between highly different methods. This represents a significant challenge but one that is imperative for atmospheric scientists, engineers, and policy analysts to jointly solve in order to better inform national energy policy needs.
-
Co-payments in the NHS: an analysis of the normative arguments.
Weale, Albert; Clark, Sarah
2010-04-01
During 2008, some forms of patient co-payments - in particular, patients paying privately for additional medicines as part of an episode of care in the National Health Service - became controversial in political and policy terms in the UK. In response, the UK Government published a report, the Richards' Review, examining the issues. Richards offered a particular policy solution, but also touched on fundamental principles of social value. Using the methods of normative policy analysis, we seek to understand these principles of social value, accepting the Richards' framework according to which the relevant arguments can be grouped under the broad headings of equity and autonomy. None of the arguments on either side are decisive, and, in part, the policy decision turns on uncertain empirical conjectures.
-
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.
-
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.
-
Policy Driven Development: Flexible Policy Insertion for Large Scale Systems.
Demchak, Barry; Krüger, Ingolf
2012-07-01
The success of a software system depends critically on how well it reflects and adapts to stakeholder requirements. Traditional development methods often frustrate stakeholders by creating long latencies between requirement articulation and system deployment, especially in large scale systems. One source of latency is the maintenance of policy decisions encoded directly into system workflows at development time, including those involving access control and feature set selection. We created the Policy Driven Development (PDD) methodology to address these development latencies by enabling the flexible injection of decision points into existing workflows at runtime , thus enabling policy composition that integrates requirements furnished by multiple, oblivious stakeholder groups. Using PDD, we designed and implemented a production cyberinfrastructure that demonstrates policy and workflow injection that quickly implements stakeholder requirements, including features not contemplated in the original system design. PDD provides a path to quickly and cost effectively evolve such applications over a long lifetime.
-
Tunis, Sean R; Messner, Donna A; Mohr, Penny; Gliklich, Richard E; Dubois, Robert W
2012-05-01
This article provides background and context for a series of papers stemming from a collaborative effort by Outcome Sciences, Inc., the National Pharmaceutical Council and the Center for Medical Technology Policy to use a stakeholder-driven process to develop a decision tool to select appropriate methods for comparative effectiveness research. The perceived need and origins of the 'translation table' concept for method selection are described and the legislative history and role of the Patient-Centered Outcomes Research Institute are reviewed. The article concludes by stressing the significance of this effort for future health services and clinical research, and the importance of consulting end-users--patients, providers, payers and policy-makers--in the process of defining research questions and approaches to them.
-
Near-Term Actions to Address Long-Term Climate Risk
NASA Astrophysics Data System (ADS)
Lempert, R. J.
2014-12-01
Addressing climate change requires effective long-term policy making, which occurs when reflecting on potential events decades or more in the future causes policy makers to choose near-term actions different than those they would otherwise pursue. Contrary to some expectations, policy makers do sometimes make such long-term decisions, but not as commonly and successfully as climate change may require. In recent years however, the new capabilities of analytic decision support tools, combined with improved understanding of cognitive and organizational behaviors, has significantly improved the methods available for organizations to manage longer-term climate risks. In particular, these tools allow decision makers to understand what near-term actions consistently contribute to achieving both short- and long-term societal goals, even in the face of deep uncertainty regarding the long-term future. This talk will describe applications of these approaches for infrastructure, water, and flood risk management planning, as well as studies of how near-term choices about policy architectures can affect long-term greenhouse gas emission reduction pathways.
-
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…
-
This report presents the results of twenty competitively funded Science-To-Achieve-Results (STAR) grants in EPA's Environmental Public Health Indicators (EPHI) research program. The grantsdirectly supported health interventions, informed policy and decision-making, and improved t...
-
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
-
Handling Practicalities in Agricultural Policy Optimization for Water Quality Improvements
Bilevel and multi-objective optimization methods are often useful to spatially target agri-environmental policy throughout a watershed. This type of problem is complex and is comprised of a number of practicalities: (i) a large number of decision variables, (ii) at least two inte...
-
Nabyonga-Orem, Juliet; Mijumbi, Rhona
2015-03-08
Although there is a general agreement on the benefits of evidence informed health policy development given resource constraints especially in Low-Income Countries (LICs), the definition of what evidence is, and what evidence is suitable to guide decision-making is still unclear. Our study is contributing to filling this knowledge gap. We aimed to explore health policy actors' views regarding what evidence they deemed appropriate to guide health policy development. Using exploratory qualitative methods, we conducted interviews with 51 key informants using an in-depth interview guide. We interviewed a diverse group of stakeholders in health policy development and knowledge translation in the Uganda health sector. Data were analyzed using inductive content analysis techniques. Different stakeholders lay emphasis on different kinds of evidence. While donors preferred international evidence and Ministry of Health (MoH) officials looked to local evidence, district health managers preferred local evidence, evidence from routine monitoring and evaluation, and reports from service providers. Service providers on the other hand preferred local evidence and routine monitoring and evaluation reports whilst researchers preferred systematic reviews and clinical trials. Stakeholders preferred evidence covering several aspects impacting on decision-making highlighting the fact that although policy actors look for factual information, they also require evidence on context and implementation feasibility of a policy decision. What LICs like Uganda categorize as evidence suitable for informing policy encompasses several types with no consensus on what is deemed as most appropriate. Evidence must be of high quality, applicable, acceptable to the users, and informing different aspects of decision-making. © 2015 by Kerman University of Medical Sciences.
-
An analytical framework to assist decision makers in the use of forest ecosystem model predictions
Larocque, Guy R.; Bhatti, Jagtar S.; Ascough, J.C.; Liu, J.; Luckai, N.; Mailly, D.; Archambault, L.; Gordon, Andrew M.
2011-01-01
The predictions from most forest ecosystem models originate from deterministic simulations. However, few evaluation exercises for model outputs are performed by either model developers or users. This issue has important consequences for decision makers using these models to develop natural resource management policies, as they cannot evaluate the extent to which predictions stemming from the simulation of alternative management scenarios may result in significant environmental or economic differences. Various numerical methods, such as sensitivity/uncertainty analyses, or bootstrap methods, may be used to evaluate models and the errors associated with their outputs. However, the application of each of these methods carries unique challenges which decision makers do not necessarily understand; guidance is required when interpreting the output generated from each model. This paper proposes a decision flow chart in the form of an analytical framework to help decision makers apply, in an orderly fashion, different steps involved in examining the model outputs. The analytical framework is discussed with regard to the definition of problems and objectives and includes the following topics: model selection, identification of alternatives, modelling tasks and selecting alternatives for developing policy or implementing management scenarios. Its application is illustrated using an on-going exercise in developing silvicultural guidelines for a forest management enterprise in Ontario, Canada.
-
Objective criteria ranking framework for renewable energy policy decisions in Nigeria
NASA Astrophysics Data System (ADS)
K, Nwofor O.; N, Dike V.
2016-08-01
We present a framework that seeks to improve the objectivity of renewable energy policy decisions in Nigeria. It consists of expert ranking of resource abundance, resource efficiency and resource environmental comfort in the choice of renewable energy options for large scale power generation. The rankings are converted to a more objective function called Resource Appraisal Function (RAF) using dependence operators derived from logical relationships amongst the various criteria. The preferred option is that with the highest average RAF coupled with the least RAF variance. The method can be extended to more options, more criteria, and more opinions and can be adapted for similar decisions in education, environment and health sectors.
-
ERIC Educational Resources Information Center
Monahan, Carlyn J.; Muchinsky, Paul M.
1985-01-01
The degree of convergent validity among four methods of identifying vocational preferences is assessed via the decision theoretic paradigm. Vocational preferences identified by Holland's Vocational Preference Inventory (VPI), a rating procedure, and ranking were compared with preferences identified from a policy-capturing model developed from an…
-
Polisena, Julie; Garritty, Chantelle; Kamel, Chris; Stevens, Adrienne; Abou-Setta, Ahmed M
2015-03-14
Health care decision makers often need to make decisions in limited timeframes and cannot await the completion of a full evidence review. Rapid reviews (RRs), utilizing streamlined systematic review methods, are increasingly being used to synthesize the evidence with a shorter turnaround time. Our primary objective was to describe the processes and methods used internationally to produce RRs. In addition, we sought to understand the underlying themes associated with these programs. We contacted representatives of international RR programs from a broad realm in health care to gather information about the methods and processes used to produce RRs. The responses were summarized narratively to understand the characteristics associated with their processes and methods. The summaries were compared and contrasted to highlight potential themes and trends related to the different RR programs. Twenty-nine international RR programs were included in our sample with a broad organizational representation from academia, government, research institutions, and non-for-profit organizations. Responses revealed that the main objectives for RRs were to inform decision making with regards to funding health care technologies, services and policy, and program development. Central themes that influenced the methods used by RR programs, and report type and dissemination were the imposed turnaround time to complete a report, resources available, the complexity and sensitivity of the research topics, and permission from the requestor. Our study confirmed that there is no standard approach to conduct RRs. Differences in processes and methods across programs may be the result of the novelty of RR methods versus other types of evidence syntheses, customization of RRs for various decision makers, and definition of 'rapid' by organizations, since it impacts both the timelines and the evidence synthesis methods. Future research should investigate the impact of current RR methods and reporting to support informed health care decision making, the effects of potential biases that may be introduced with streamlined methods, and the effectiveness of RR reporting guidelines on transparency.
-
Rational decision-making in mental health: the role of systematic reviews.
Gilbody, Simon M.; Petticrew, Mark
1999-09-01
BACKGROUND: "Systematic reviews" have come to be recognized as the most rigorous method of summarizing confusing and often contradictory primary research in a transparent and reproducible manner. Their greatest impact has been in the summarization of epidemiological literature - particularly that relating to clinical effectiveness. Systematic reviews also have a potential to inform rational decision-making in healthcare policy and to form a component of economic evaluation. AIMS OF THE STUDY: This article aims to introduce the rationale behind systematic reviews and, using examples from mental health, to introduce the strengths and limitations of systematic reviews, particularly in informing mental health policy and economic evaluation. METHODS: Examples are selected from recent controversies surrounding the introduction of new psychiatric drugs (anti-depressants and anti-schizophrenia drugs) and methods of delivering psychiatric care in the community (case management and assertive community treatment). The potential for systematic reviews to (i) produce best estimates of clinical efficacy and effectiveness, (ii) aid economic evaluation and policy decision-making and (iii) highlight gaps in the primary research knowledge base are discussed. Lastly examples are selected from outside mental health to show how systematic reviews have a potential to be explicitly used in economic and health policy evaluation. RESULTS: Systematic reviews produce the best estimates of clinical efficacy, which can form an important component of economic evaluation. Importantly, serious methodological flaws and areas of uncertainty in the primary research literature are identified within an explicit framework. Summary indices of clinical effectiveness can be produced, but it is difficult to produce such summary indices of cost effectiveness by pooling economic data from primary studies. Modelling is commonly used in economic and policy evaluation. Here, systematic reviews can provide the best estimates of effectiveness and, importantly, highlight areas of uncertainty that can be used in "sensitivity analysis". DISCUSSION: Systematic reviews are an important recent methodological advance, the potential for which has only begun to be realized in mental health. This use of systematic reviews is probably most advanced in producing critical summaries of clinical effectiveness data. Systematic reviews cannot produce valid and believable conclusions when the primary research literature is of poor quality. An important function of systematic reviews will be in highlighting this poor quality research which is of little use in mental health decision making. IMPLICATIONS FOR HEALTH PROVISION: Health care provision should be both clinically and cost effective. Systematic reviews are a key component in ensuring that this goal is achieved. IMPLICATIONS FOR HEALTH POLICIES: Systematic reviews have potential to inform health policy. Examples presented show that health policy is often made without due consideration of the research evidence. Systematic reviews can provide robust and believable answers, which can help inform rational decision-making. Importantly, systematic reviews can highlight the need for important primary research and can inform the design of this research such that it provides answers that will help in forming healthcare policy. IMPLICATIONS FOR FURTHER RESEARCH: Systematic reviews should precede costly (and often unnecessary) primary research. Many areas of health policy and practice have yet to be evaluated using systematic review methodology. Methods for the summarization of economic data are methodologically complex and deserve further research
-
The development of scientific evidence for health policies for obesity: why and how
Richardson, Molly B.; Williams, Michelle S.; Fontaine, Kevin R.; Allison, David B.
2017-01-01
Potential obesity-related policy approaches have recently been receiving more attention. While some have been implemented and others only proposed, few have been formally evaluated. We discuss the relevance, and in some cases irrelevance, of some of the types of evidence that are often brought to bear in considering obesity-related policy decisions. We discuss major methods used to generate such evidence, emphasizing study design and the varying quality of the evidence obtained. Third, we consider what the standards of evidence should be in various contexts, who ought to set those standards, as well as the inherent subjectivity involved in making policy decisions. Finally, we suggest greater transparency from both academics and policymakers in the acknowledgment of subjectivities so they can distinguish and communicate the roles played by empirical evidence and subjective values in the formulation of policy. PMID:28293021
-
Linking ecosystem characteristics to final ecosystem services for public policy.
Wong, Christina P; Jiang, Bo; Kinzig, Ann P; Lee, Kai N; Ouyang, Zhiyun
2015-01-01
Governments worldwide are recognising ecosystem services as an approach to address sustainability challenges. Decision-makers need credible and legitimate measurements of ecosystem services to evaluate decisions for trade-offs to make wise choices. Managers lack these measurements because of a data gap linking ecosystem characteristics to final ecosystem services. The dominant method to address the data gap is benefit transfer using ecological data from one location to estimate ecosystem services at other locations with similar land cover. However, benefit transfer is only valid once the data gap is adequately resolved. Disciplinary frames separating ecology from economics and policy have resulted in confusion on concepts and methods preventing progress on the data gap. In this study, we present a 10-step approach to unify concepts, methods and data from the disparate disciplines to offer guidance on overcoming the data gap. We suggest: (1) estimate ecosystem characteristics using biophysical models, (2) identify final ecosystem services using endpoints and (3) connect them using ecological production functions to quantify biophysical trade-offs. The guidance is strategic for public policy because analysts need to be: (1) realistic when setting priorities, (2) attentive to timelines to acquire relevant data, given resources and (3) responsive to the needs of decision-makers. © 2014 The Authors. Ecology Letters published by John Wiley & Sons Ltd and CNRS.
-
Linking ecosystem characteristics to final ecosystem services for public policy
Wong, Christina P; Jiang, Bo; Kinzig, Ann P; Lee, Kai N; Ouyang, Zhiyun
2015-01-01
Governments worldwide are recognising ecosystem services as an approach to address sustainability challenges. Decision-makers need credible and legitimate measurements of ecosystem services to evaluate decisions for trade-offs to make wise choices. Managers lack these measurements because of a data gap linking ecosystem characteristics to final ecosystem services. The dominant method to address the data gap is benefit transfer using ecological data from one location to estimate ecosystem services at other locations with similar land cover. However, benefit transfer is only valid once the data gap is adequately resolved. Disciplinary frames separating ecology from economics and policy have resulted in confusion on concepts and methods preventing progress on the data gap. In this study, we present a 10-step approach to unify concepts, methods and data from the disparate disciplines to offer guidance on overcoming the data gap. We suggest: (1) estimate ecosystem characteristics using biophysical models, (2) identify final ecosystem services using endpoints and (3) connect them using ecological production functions to quantify biophysical trade-offs. The guidance is strategic for public policy because analysts need to be: (1) realistic when setting priorities, (2) attentive to timelines to acquire relevant data, given resources and (3) responsive to the needs of decision-makers. PMID:25394857
-
Extending key sharing: how to generate a key tightly coupled to a network security policy
NASA Astrophysics Data System (ADS)
Kazantzidis, Matheos
2006-04-01
Current state of the art security policy technologies, besides the small scale limitation and largely manual nature of accompanied management methods, are lacking a) in real-timeliness of policy implementation and b) vulnerabilities and inflexibility stemming from the centralized policy decision making; even if, for example, a policy description or access control database is distributed, the actual decision is often a centralized action and forms a system single point of failure. In this paper we are presenting a new fundamental concept that allows implement a security policy by a systematic and efficient key distribution procedure. Specifically, we extend the polynomial Shamir key splitting. According to this, a global key is split into n parts, any k of which can re-construct the original key. In this paper we present a method that instead of having "any k parts" be able to re-construct the original key, the latter can only be reconstructed if keys are combined as any access control policy describes. This leads into an easily deployable key generation procedure that results a single key per entity that "knows" its role in the specific access control policy from which it was derived. The system is considered efficient as it may be used to avoid expensive PKI operations or pairwise key distributions as well as provides superior security due to its distributed nature, the fact that the key is tightly coupled to the policy, and that policy change may be implemented easier and faster.
-
Souliotis, Kyriakos; Agapidaki, Eirini; Evangelia Peppou, Lily; Tzavara, Chara; Varvaras, Dimitrios; Buonomo, Oreste Claudio; Debiais, Dominique; Hasurdjiev, Stanimir; Sarkozy, Francois
2018-01-01
Background: Even though there are many patient organizations across Europe, their role in impacting health policy decisions and reforms has not been well documented. In line with this, the present study endeavours to fill this gap in the international literature. To this end, it aims to validate further a previously developed instrument (the Health Democracy Index - HDI) measuring patient organization participation in health policy decision-making. In addition, by utilizing this tool, it aims to provide a snapshot of the degree and impact of cancer patient organization (CPO) participation in Italy and France. Methods: A convenient sample of 188 members of CPOs participated in the study (95 respondents from 10 CPOs in Italy and 93 from 12 CPOs in France). Participants completed online a self-reported questionnaire, encompassing the 9-item index and questions enquiring about the type and impact of participation in various facets of health policy decisionmaking. The psychometric properties of the scale were explored by performing factor analysis (construct validity) and by computing Cronbach α (internal consistency). Results: Findings indicate that the index has good internal consistency and the construct it taps is unidimensional. The degree and impact of CPO participation in health policy decision-making were found to be low in both countries; however in Italy they were comparatively lower than in France. Conclusion: In conclusion, the HDI can be effectively used in international policy and research contexts. CPOs participation is low in Italy and France and concerted efforts should be made on upgrading their role in health policy decision-making. PMID:29325402
-
2014-01-01
Background Decisions to scale up population health interventions from small projects to wider state or national implementation is fundamental to maximising population-wide health improvements. The objectives of this study were to examine: i) how decisions to scale up interventions are currently made in practice; ii) the role that evidence plays in informing decisions to scale up interventions; and iii) the role policy makers, practitioners, and researchers play in this process. Methods Interviews with an expert panel of senior Australian and international public health policy-makers (n = 7), practitioners (n = 7), and researchers (n = 7) were conducted in May 2013 with a participation rate of 84%. Results Scaling up decisions were generally made through iterative processes and led by policy makers and/or practitioners, but ultimately approved by political leaders and/or senior executives of funding agencies. Research evidence formed a component of the overall set of information used in decision-making, but its contribution was limited by the paucity of relevant intervention effectiveness research, and data on costs and cost effectiveness. Policy makers, practitioners/service managers, and researchers had different, but complementary roles to play in the process of scaling up interventions. Conclusions This analysis articulates the processes of how decisions to scale up interventions are made, the roles of evidence, and contribution of different professional groups. More intervention research that includes data on the effectiveness, reach, and costs of operating at scale and key service delivery issues (including acceptability and fit of interventions and delivery models) should be sought as this has the potential to substantially advance the relevance and ultimately usability of research evidence for scaling up population health action. PMID:24735455
-
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.
-
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.
-
Policy capturing as a method of quantifying the determinants of landscape preference
Dennis B. Propst
1979-01-01
Policy Capturing, a potential methodology for evaluating landscape preference, was described and tested. This methodology results in a mathematical model that theoretically represents the human decision-making process. Under experimental conditions, judges were asked to express their preferences for scenes of the Blue Ridge Parkway. An equation which "captures,...
-
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…
-
The Game of Knowledge Brokering: A New Method for Increasing Evaluation Use
ERIC Educational Resources Information Center
Olejniczak, Karol
2017-01-01
Knowledge brokering is a promising practice for addressing the challenge of using research evidence, including evaluation findings, in policy implementation. For public policy practitioners, it means playing the role of an intermediary who steers the flow of knowledge between producers (researchers) and users (decision makers). It requires a set…
-
ERIC Educational Resources Information Center
D'Haene, I.; Pasman, H. R. W.; Deliens, L.; Bilsen, J.; Mortier, F.; Stichele, R. Vander
2010-01-01
Objective: This article aims to describe the presence, content and implementation strategies of written policies on end-of-life decisions in Flemish residential care facilities (RCFs) accommodating persons with intellectual disabilities (ID), and to describe training, education and quality assessments of end-of-life care. Methods: A…
-
[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.
-
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.
-
Fundamentals of health risk assessment. Use, derivation, validity and limitations of safety indices.
Putzrath, R M; Wilson, J D
1999-04-01
We investigated the way results of human health risk assessments are used, and the theory used to describe those methods, sometimes called the "NAS paradigm." Contrary to a key tenet of that theory, current methods have strictly limited utility. The characterizations now considered standard, Safety Indices such as "Acceptable Daily Intake," "Reference Dose," and so on, usefully inform only decisions that require a choice between two policy alternatives (e.g., approve a food additive or not), decided solely on the basis of a finding of safety. Risk is characterized as the quotient of one of these Safety Indices divided by an estimate of exposure: a quotient greater than one implies that the situation may be considered safe. Such decisions are very widespread, both in the U.S. federal government and elsewhere. No current method is universal; different policies lead to different practices, for example, in California's "Proposition 65," where statutory provisions specify some practices. Further, an important kind of human health risk assessment is not recognized by this theory: this kind characterizes risk as likelihood of harm, given estimates of exposure consequent to various decision choices. Likelihood estimates are necessary whenever decision makers have many possible decision choices and must weigh more than two societal values, such as in EPA's implementation of "conventional air pollutants." These estimates can not be derived using current methods; different methods are needed. Our analysis suggests changes needed in both the theory and practice of human health risk assessment, and how what is done is depicted.
-
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.
-
Kenyan Nurses Involvement in National Policy Development Processes
Juma, Pamela Atieno
2014-01-01
The aim of this study was to critically examine how nurses have been involved in national policy processes in the Kenyan health sector. The paper reports qualitative results from a larger mixed method study. National nonnursing decision-makers and nurse leaders, and provincial managers as well as frontline nurse managers from two Kenyan districts were purposefully selected for interviews. Interviews dealt with nurses' involvement in national policy processes, factors hindering nurses' engagement in policy processes, and ways to enhance nurses' involvement in policy processes. Critical theory and feminist perspectives guided the study process. Content analysis of data was conducted. Findings revealed that nurses' involvement in policy processes in Kenya was limited. Only a few nurse leaders were involved in national policy committees as a result of their positions in the sector. Critical analysis of the findings revealed that hierarchies and structural factors as well as nursing professional issues were the primary barriers constraining nurses' involvement in policy processes. Thus, there is need to address these factors both by nurses themselves and by nonnursing decision makers, in order to enhance nurses engagement in policy making and further the contribution to quality of services to the communities. PMID:25349731
-
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…
-
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.
-
Information in medical decision making: how consistent is our management?
Lorence, Daniel P; Spink, Amanda; Jameson, Robert
2002-01-01
The use of outcomes data in clinical environments requires a correspondingly greater variety of information used in decision making, the measurement of quality, and clinical performance. As information becomes integral in the decision-making process, trustworthy decision support data are required. Using data from a national census of certified health information managers, variation in automated data quality management practices was examined. Relatively low overall adoption of automated data management exists in health care organizations, with significant geographic and practice setting variation. Nonuniform regional adoption of computerized data management exists, despite national mandates that promote and in some cases require uniform adoption. Overall, a significant number of respondents (42.7%) indicated that they had not adopted policies and procedures to direct the timeliness of data capture, with 57.3% having adopted such practices. The inconsistency of patient data policy suggests that provider organizations do not use uniform information management methods, despite growing federal mandates to do so.
-
Cutting through the noise: an evaluative framework for research communication
NASA Astrophysics Data System (ADS)
Strickert, G. E.; Bradford, L. E.; Shantz, S.; Steelman, T.; Orozs, C.; Rose, I.
2017-12-01
With an ever-increasing amount of research, there is a parallel challenge to mobilize the research for decision making, policy development and management actions. The tradition of "loading dock" model of science to policy is under renovation, replaced by more engaging methods of research communication. Research communication falls on a continuum from passive methods (e.g. reports, social media, infographics) to more active methods (e.g. forum theatre, decision labs, and stakeholder planning, and mix media installations that blend, art, science and traditional knowledge). Drawing on a five-year water science research program in the Saskatchewan River Basin, an evaluation framework is presented that draws on a wide communities of knowledge users including: First Nation and Metis, Community Organizers, Farmers, Consultants, Researchers, and Civil Servants. A mixed method framework consisting of quantitative surveys, qualitative interviews, focus groups, and q-sorts demonstrates that participants prefer more active means of research communication to draw them into the research, but they also value more traditional and passive methods to provide more in-depth information when needed.
-
"Knowledge" in English Primary Schools' Decision-Making about Sex and Relationships Education
ERIC Educational Resources Information Center
Wilder, Rachel
2018-01-01
Objective: To assess what kinds of knowledge policymakers in a sample of English primary schools utilised to make decisions about their school's sex and relationships education policy. Method: Semi-structured interviews were conducted with policymakers at three primary schools in the southwest of England, and documentary analysis of the schools'…
-
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.
-
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.
-
Hall, Jim W; Lempert, Robert J; Keller, Klaus; Hackbarth, Andrew; Mijere, Christophe; McInerney, David J
2012-10-01
This study compares two widely used approaches for robustness analysis of decision problems: the info-gap method originally developed by Ben-Haim and the robust decision making (RDM) approach originally developed by Lempert, Popper, and Bankes. The study uses each approach to evaluate alternative paths for climate-altering greenhouse gas emissions given the potential for nonlinear threshold responses in the climate system, significant uncertainty about such a threshold response and a variety of other key parameters, as well as the ability to learn about any threshold responses over time. Info-gap and RDM share many similarities. Both represent uncertainty as sets of multiple plausible futures, and both seek to identify robust strategies whose performance is insensitive to uncertainties. Yet they also exhibit important differences, as they arrange their analyses in different orders, treat losses and gains in different ways, and take different approaches to imprecise probabilistic information. The study finds that the two approaches reach similar but not identical policy recommendations and that their differing attributes raise important questions about their appropriate roles in decision support applications. The comparison not only improves understanding of these specific methods, it also suggests some broader insights into robustness approaches and a framework for comparing them. © 2012 RAND Corporation.
-
An engineering approach to modelling, decision support and control for sustainable systems.
Day, W; Audsley, E; Frost, A R
2008-02-12
Engineering research and development contributes to the advance of sustainable agriculture both through innovative methods to manage and control processes, and through quantitative understanding of the operation of practical agricultural systems using decision models. This paper describes how an engineering approach, drawing on mathematical models of systems and processes, contributes new methods that support decision making at all levels from strategy and planning to tactics and real-time control. The ability to describe the system or process by a simple and robust mathematical model is critical, and the outputs range from guidance to policy makers on strategic decisions relating to land use, through intelligent decision support to farmers and on to real-time engineering control of specific processes. Precision in decision making leads to decreased use of inputs, less environmental emissions and enhanced profitability-all essential to sustainable systems.
-
Incorporating the patient experience into regulatory decision making in the USA, Europe, and Canada.
Kluetz, Paul G; O'Connor, Daniel J; Soltys, Katherine
2018-05-01
The clinical development of cancer therapeutics is a global undertaking, and incorporation of the patient experience into the clinical decision-making process is of increasing interest to the international regulatory and health policy community. Disease and treatment-related symptoms and their effect on patient function and health-related quality of life are important outcomes to consider. The identification of methods to scientifically assess, analyse, interpret, and present these clinical outcomes requires sustained international collaboration by multiple stakeholders including patients, clinicians, scientists, and policy makers. Several data sources can be considered to capture the patient experience, including patient-reported outcome (PRO) measures, performance measures, wearable devices, and biosensors, as well as the careful collection and analysis of clinical events and supportive care medications. In this Policy Review, we focus on PRO measures and present the perspectives of three international regulatory scientists to identify areas of common ground regarding opportunities to incorporate rigorous PRO data into the regulatory decision-making process. Copyright © 2018 Elsevier Ltd. All rights reserved.
-
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.
-
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.
-
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...
-
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.
-
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
-
NASA Astrophysics Data System (ADS)
Rogers, W.; Gulledge, J. M.
2010-12-01
Many decision makers lack actionable scientific information needed to prepare for future challenges associated with climate change. Although the scope and quality of available scientific information has increased dramatically in recent years, this information does not always reach - or is not presented in a form that is useful to - decision makers who need it. The producer (i.e. scientists) community tends to be stovepiped, even though consumers (i.e. decision makers) often need interdisciplinary science and analysis. Consumers, who may also be stovepiped in various agencies or subject areas, may lack familiarity with or access to these separate communities, as well as the tools or time to navigate scientific information and disciplines. Closing the communication gap between these communities could be facilitated by institutionalizing processes designed for this purpose. We recommend a variety of mainstreaming policies within the consumer community, as well as mechanisms to generate a strong demand signal that will resonate more strongly with the producer community. We also recommend institutional reforms and methods of incentivizing policy-oriented scientific analysis within the producer community. Our recommendations focus on improving information flow to national security and foreign policy decision makers, but many are relevant to public policy writ large. Recommendations for Producers 1. The scientific community should formally encourage collaborations between natural and social scientists and reward publications in interdisciplinary outlets Incentives could include research funding and honorary awards recognizing service to public policy. 2. Academic merit review should reward research grants and publications targeted at interdisciplinary and/or policy-oriented audiences. Reforms of merit review may require new policies and engaged institutional leadership. Recommendations for Consumers 1. Congress should amend Title VI of the National Defense Education Act to encourage the development of multidisciplinary educational programs on the national security implications of climate change. 2. Federal agencies should establish funding programs to encourage producers to provide scientific information tailored to consumer needs. 3. The Department of State should appoint climate advisors to serve within the regional bureaus and on the policy and planning staff. 4. Federal agencies, the Department of Education, and the National Science Foundation should develop programs to stimulate new interdisciplinary research partnerships and training of a new generation of interdisciplinary climate change risk thinkers, assessors and managers. 5. Federal agencies should encourage Senior Executive Service decision makers to participate in science policy certi¬fication workshops and include science and technology policy as a core curricu¬lum component of the SES Federal Candidate Development Program. These recommendations are described in detail in a report published by the Center for a New American Security: Rogers, W. and J. Gulledge (2010) Lost in Translation: Closing the Gap Between Climate Science and National Security Policy (available online: http://cnas.org/node/4391)
-
NGPA disputes plague operators
DOE Office of Scientific and Technical Information (OSTI.GOV)
Stremel, K.
1984-03-01
Conflicting interpretations of the Natural Gas Policy Act of 1978 have natural gas producers in a costly financial dilemma. A recent circuit court of appeals decision allows for a different method for the calculation of Btu values for gas. This dry method for Btu calculation gives a lower cost for natural gas and therefore cost pipelines an estimated one billion dollars in over payments. The court has declared that their decision is retroactive and that producers must pay the debt. Discussions from both sides are presented.
-
Optimizing the response to surveillance alerts in automated surveillance systems.
Izadi, Masoumeh; Buckeridge, David L
2011-02-28
Although much research effort has been directed toward refining algorithms for disease outbreak alerting, considerably less attention has been given to the response to alerts generated from statistical detection algorithms. Given the inherent inaccuracy in alerting, it is imperative to develop methods that help public health personnel identify optimal policies in response to alerts. This study evaluates the application of dynamic decision making models to the problem of responding to outbreak detection methods, using anthrax surveillance as an example. Adaptive optimization through approximate dynamic programming is used to generate a policy for decision making following outbreak detection. We investigate the degree to which the model can tolerate noise theoretically, in order to keep near optimal behavior. We also evaluate the policy from our model empirically and compare it with current approaches in routine public health practice for investigating alerts. Timeliness of outbreak confirmation and total costs associated with the decisions made are used as performance measures. Using our approach, on average, 80 per cent of outbreaks were confirmed prior to the fifth day of post-attack with considerably less cost compared to response strategies currently in use. Experimental results are also provided to illustrate the robustness of the adaptive optimization approach and to show the realization of the derived error bounds in practice. Copyright © 2011 John Wiley & Sons, Ltd.
-
Pathways as a tool for the governance of sustainable management of soilsubsidence
NASA Astrophysics Data System (ADS)
Ellen, G. J.; Hommes, S.
2017-12-01
Subsidence is a physical, societal, economic and institutional challenge for the Netherlands. For urban areas because subsidence threatens the nearby future the liveability and touristic attractiveness of the historic cities. For the rural areas because it affects the - intensive - agricultural landuse which is an important pilar of the Dutch economy. Policy and decision-making concerning subsidence is suffering from `non-decision making'. Subsidence has been described and mapped based on (geological and geotechnical) scientific research, but the subject has only been marginally addressing in the national, regional and local policy arena's. To actually make it possible for subsidence to be discussed in the policy arena a method was designed which was used in two cases : the Dutch city of Gouda and a more rural area in the province of Flevoland in the middle of the Netherlands. The method used was based on three building blocks. First of all future perspectives - scenario planning methodology was used to create future perspectives on coping with land subsidence. For example for Gouda we created 4 future perspectives for 2060 distinguishing between allocation of responsibilities (public or private) and the strategic decision to cope with land subsidence (halt or continue to sink). The second building block was the use of pathways, were each pathway consisted of a cluster of land subsidence strategies covering the many dimensions of land subsidence, ranging from houses and their foundations for the city of Gouda towards different types of agricultural land use for the rural area in the province of Flevoland. The last building block was a governance design approach were for every pathway a governance arrangements were designed together with stakeholders. The method was evaluated and proved to be very useful. First, a better understanding of the unsustainability of subsidence was obtained. In addition, the different perspectives and strategies stimulated discussions within the policy arena's on what might be needed especially in terms of governance. Finally, after applying the described method a higher awareness has been gained on `non-decision making' and ways to move forward.
-
Wortley, Sally; Flitcroft, Kathy; Howard, Kirsten
2015-01-01
The aim of this study was to determine the role of community preference information from discrete choice studies of colorectal cancer (CRC) screening in health technology assessment (HTA) reports and subsequent policy decisions. We undertook a systematic review of discrete choice studies of CRC screening. Included studies were reviewed to assess the policy context of the research. For those studies that cited a recent or pending review of CRC screening, further searches were undertaken to determine the extent to which community preference information was incorporated into the HTA decision-making process. Eight discrete choice studies that evaluated preferences for CRC screening were identified. Four of these studies referred to a national or local review of CRC screening in three countries: Australia, Canada, and the Netherlands. Our review of subsequently released health policy documents showed that while consideration was given to community views on CRC, policy was not informed by discrete choice evidence. Preferences and values of patients are increasingly being considered "evidence" to be incorporated into HTA reports. Discrete choice methodology is a rigorous quantitative method for eliciting preferences and while as a methodology it is growing in profile, it would appear that the results of such research are not being systematically translated or integrated into HTA reports. A formalized approach is needed to incorporate preference literature into the HTA decision-making process.
-
Final Report: PAGE: Policy Analytics Generation Engine
2016-08-12
develop a parallel framework for it. We also developed policies and methods by which a group of defensive resources (e.g. checkpoints) could be...Sarit Kraus. Learning to Reveal Information in Repeated Human -Computer Negotiation, Human -Agent Interaction Design and Models Workshop 2012. 04-JUN...Joseph Keshet, Sarit Kraus. Predicting Human Strategic Decisions Using Facial Expressions, International Joint Conference on Artificial
-
ERIC Educational Resources Information Center
Kocsis-McNerney, Violet
2013-01-01
This research obtained information using focus groups as qualitative method to determine the factors that influenced alternative education decisions. The purpose of this study was to help bridge theory, research, and educational practices and examine policy reform efforts. Through the lenses of returning adult education students, this research…
-
Finnveden, Göran; Björklund, Anna; Moberg, Asa; Ekvall, Tomas
2007-06-01
A large number of methods and approaches that can be used for supporting waste management decisions at different levels in society have been developed. In this paper an overview of methods is provided and preliminary guidelines for the choice of methods are presented. The methods introduced include: Environmental Impact Assessment, Strategic Environmental Assessment, Life Cycle Assessment, Cost-Benefit Analysis, Cost-effectiveness Analysis, Life-cycle Costing, Risk Assessment, Material Flow Accounting, Substance Flow Analysis, Energy Analysis, Exergy Analysis, Entropy Analysis, Environmental Management Systems, and Environmental Auditing. The characteristics used are the types of impacts included, the objects under study and whether the method is procedural or analytical. The different methods can be described as systems analysis methods. Waste management systems thinking is receiving increasing attention. This is, for example, evidenced by the suggested thematic strategy on waste by the European Commission where life-cycle analysis and life-cycle thinking get prominent positions. Indeed, life-cycle analyses have been shown to provide policy-relevant and consistent results. However, it is also clear that the studies will always be open to criticism since they are simplifications of reality and include uncertainties. This is something all systems analysis methods have in common. Assumptions can be challenged and it may be difficult to generalize from case studies to policies. This suggests that if decisions are going to be made, they are likely to be made on a less than perfect basis.
-
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.
-
Measurement Error and Environmental Epidemiology: A Policy Perspective
Edwards, Jessie K.; Keil, Alexander P.
2017-01-01
Purpose of review Measurement error threatens public health by producing bias in estimates of the population impact of environmental exposures. Quantitative methods to account for measurement bias can improve public health decision making. Recent findings We summarize traditional and emerging methods to improve inference under a standard perspective, in which the investigator estimates an exposure response function, and a policy perspective, in which the investigator directly estimates population impact of a proposed intervention. Summary Under a policy perspective, the analysis must be sensitive to errors in measurement of factors that modify the effect of exposure on outcome, must consider whether policies operate on the true or measured exposures, and may increasingly need to account for potentially dependent measurement error of two or more exposures affected by the same policy or intervention. Incorporating approaches to account for measurement error into such a policy perspective will increase the impact of environmental epidemiology. PMID:28138941
-
Assessment of Trading Partners for China's Rare Earth Exports Using a Decision Analytic Approach
He, Chunyan; Lei, Yalin; Ge, Jianping
2014-01-01
Chinese rare earth export policies currently result in accelerating its depletion. Thus adopting an optimal export trade selection strategy is crucial to determining and ultimately identifying the ideal trading partners. This paper introduces a multi-attribute decision-making methodology which is then used to select the optimal trading partner. In the method, an evaluation criteria system is established to assess the seven top trading partners based on three dimensions: political relationships, economic benefits and industrial security. Specifically, a simple additive weighing model derived from an additive utility function is utilized to calculate, rank and select alternatives. Results show that Japan would be the optimal trading partner for Chinese rare earths. The criteria evaluation method of trading partners for China's rare earth exports provides the Chinese government with a tool to enhance rare earth industrial policies. PMID:25051534
-
Assessment of trading partners for China's rare earth exports using a decision analytic approach.
He, Chunyan; Lei, Yalin; Ge, Jianping
2014-01-01
Chinese rare earth export policies currently result in accelerating its depletion. Thus adopting an optimal export trade selection strategy is crucial to determining and ultimately identifying the ideal trading partners. This paper introduces a multi-attribute decision-making methodology which is then used to select the optimal trading partner. In the method, an evaluation criteria system is established to assess the seven top trading partners based on three dimensions: political relationships, economic benefits and industrial security. Specifically, a simple additive weighing model derived from an additive utility function is utilized to calculate, rank and select alternatives. Results show that Japan would be the optimal trading partner for Chinese rare earths. The criteria evaluation method of trading partners for China's rare earth exports provides the Chinese government with a tool to enhance rare earth industrial policies.
-
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.
-
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...
-
Health Impact Assessment, Physical Activity and Federal Lands Trail Policy
Davis, Sally M.; Cruz, Theresa H.; Kozoll, Richard L.
2016-01-01
Objectives The objectives of this paper are to describe the application of Health Impact Assessment (HIA) to inform trail decisions affecting a rural, under-resourced community and propose the routine integration of HIAs to enhance NEPA environmental assessments and environmental impact statements for trail decisions on federal lands. Methods Screening, scoping, assessment, recommendations, reporting, monitoring and evaluation are being used to examine the health impact of trail location and design. Results HIA recommendations are being integrated into the public lands National Environmental Protection Act process for planning access to a new segment of the Continental Divide National Scenic Trail. Potential users from a nearby rural New Mexico community and a region of almost one million may benefit from this HIA-informed planning. Conclusions HIA can be integrated into the policy and decision-making process for trails on public lands. PMID:27213163
-
MyVoice National Text Message Survey of Youth Aged 14 to 24 Years: Study Protocol
Nichols, Lauren P; Moniz, Michelle H; Sonneville, Kendrin R; Vydiswaran, VG Vinod; Zhao, Xinyan; Guetterman, Timothy C; Chang, Tammy
2017-01-01
Background There has been little progress in adolescent health outcomes in recent decades. Researchers and youth-serving organizations struggle to accurately elicit youth voice and translate youth perspectives into health care policy. Objective Our aim is to describe the protocol of the MyVoice Project, a longitudinal mixed methods study designed to engage youth, particularly those not typically included in research. Text messaging surveys are collected, analyzed, and disseminated in real time to leverage youth perspectives to impact policy. Methods Youth aged 14 to 24 years are recruited to receive weekly text message surveys on a variety of policy and health topics. The research team, including academic researchers, methodologists, and youth, develop questions through an iterative writing and piloting process. Question topics are elicited from community organizations, researchers, and policy makers to inform salient policies. A youth-centered interactive platform has been developed that automatically sends confidential weekly surveys and incentives to participants. Parental consent is not required because the survey is of minimal risk to participants. Recruitment occurs online (eg, Facebook, Instagram, university health research website) and in person at community events. Weekly surveys collect both quantitative and qualitative data. Quantitative data are analyzed using descriptive statistics. Qualitative data are quickly analyzed using natural language processing and traditional qualitative methods. Mixed methods integration and analysis supports a more in-depth understanding of the research questions. Results We are currently recruiting and enrolling participants through in-person and online strategies. Question development, weekly data collection, data analysis, and dissemination are in progress. Conclusions MyVoice quickly ascertains the thoughts and opinions of youth in real time using a widespread, readily available technology—text messaging. Results are disseminated to researchers, policy makers, and youth-serving organizations through a variety of methods. Policy makers and organizations also share their priority areas with the research team to develop additional question sets to inform important policy decisions. Youth-serving organizations can use results to make decisions to promote youth well-being. PMID:29229587
-
Jin, S W; Li, Y P; Xu, L P
2018-07-01
A bi-level fuzzy programming (BFLP) method was developed for energy systems planning (ESP) and carbon dioxide (CO 2 ) mitigation under uncertainty. BFLP could handle fuzzy information and leader-follower problem in decision-making processes. It could also address the tradeoffs among different decision makers in two decision-making levels through prioritizing the most important goal. Then, a BFLP-ESP model was formulated for planning energy system of Beijing, in which the upper-level objective is to minimize CO 2 emission and the lower-level objective is to minimize the system cost. Results provided a range of decision alternatives that corresponded to a tradeoff between system optimality and reliability under uncertainty. Compared to the single-level model with a target to minimize system cost, the amounts of pollutant/CO 2 emissions from BFLP-ESP were reduced since the study system would prefer more clean energies (i.e. natural gas, LPG and electricity) to replace coal fuel. Decision alternatives from BFLP were more beneficial for supporting Beijing to adjust its energy mix and enact its emission-abatement policy. Results also revealed that the low-carbon policy for power plants (e.g., shutting down all coal-fired power plants) could lead to a potentially increment of imported energy for Beijing, which would increase the risk of energy shortage. The findings could help decision makers analyze the interactions between different stakeholders in ESP and provide useful information for policy design under uncertainty. Copyright © 2018 Elsevier Inc. All rights reserved.
-
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.
-
Local Approximation and Hierarchical Methods for Stochastic Optimization
NASA Astrophysics Data System (ADS)
Cheng, Bolong
In this thesis, we present local and hierarchical approximation methods for two classes of stochastic optimization problems: optimal learning and Markov decision processes. For the optimal learning problem class, we introduce a locally linear model with radial basis function for estimating the posterior mean of the unknown objective function. The method uses a compact representation of the function which avoids storing the entire history, as is typically required by nonparametric methods. We derive a knowledge gradient policy with the locally parametric model, which maximizes the expected value of information. We show the policy is asymptotically optimal in theory, and experimental works suggests that the method can reliably find the optimal solution on a range of test functions. For the Markov decision processes problem class, we are motivated by an application where we want to co-optimize a battery for multiple revenue, in particular energy arbitrage and frequency regulation. The nature of this problem requires the battery to make charging and discharging decisions at different time scales while accounting for the stochastic information such as load demand, electricity prices, and regulation signals. Computing the exact optimal policy becomes intractable due to the large state space and the number of time steps. We propose two methods to circumvent the computation bottleneck. First, we propose a nested MDP model that structure the co-optimization problem into smaller sub-problems with reduced state space. This new model allows us to understand how the battery behaves down to the two-second dynamics (that of the frequency regulation market). Second, we introduce a low-rank value function approximation for backward dynamic programming. This new method only requires computing the exact value function for a small subset of the state space and approximate the entire value function via low-rank matrix completion. We test these methods on historical price data from the PJM Interconnect and show that it outperforms the baseline approach used in the industry.
-
Foster, Michele M; Earl, Peter E; Haines, Terry P; Mitchell, Geoffrey K
2010-10-01
Accounting for consumer preference in health policy and delivery system design makes good economic sense since this is linked to outcomes, quality of care and cost control. Probability trade-off methods are commonly used in policy evaluation, marketing and economics. Increasingly applied to health matters, the trade-off preference model has indicated that consumers of health care discriminate between different attributes of care. However, the complexities of the health decision-making environment raise questions about the inherent assumptions concerning choice and decision-making behavior which frame this view of consumer preference. In this article, we use the example of primary care in Australia as a vehicle to examine the concept of 'consumer preference' from different perspectives within economics and discuss the significance of how we model preferences for health policy makers. In doing so, we question whether mainstream thinking, namely that consumers are capable of deliberating between rival strategies and are willing to make trade-offs, is a reliable way of thinking about preferences given the complexities of the health decision-making environment. Alternative perspectives on preference can assist health policy makers and health providers by generating more precise information about the important attributes of care that are likely to enhance consumer engagement and optimise acceptability of health care. Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.
-
Crowley-Matoka, Megan; Collins, Jeremy D.; Chrisman, Howard B.; Milad, Magdy P.; Vogelzang, Robert L.
2017-01-01
Purpose In response to limited physician adoption of various healthcare initiatives, we sought to propose and assess a novel approach to policy development where one first characterizes diverse physician groups’ common interests, using a medical student and constructivist grounded theory. Methods In 6 months, a medical student completed 36 semi-structured interviews with interventional radiologists, gynecologists, and vascular surgeons that were systematically analyzed according to constructivist grounded theory to identifying common themes. Common drivers of clinical decision making and professional values across 3 distinct specialty groups were derived from physicians’ descriptions of their clinical decision making, stories, and concerns. Results Common drivers of clinical decision making included patient preference/benefit, experience, reimbursement, busyness/volume, and referral networks. Common values included honesty, trustworthiness, loyalty, humble service, compassion and perseverance, and practical wisdom. Although personal gains were perceived as important interests, such values were easily sacrificed for the good of patients or other non-financial interests. This balance was largely dependent on the incentives and security provided by physicians’ environments. Conclusions Using a medical student interviewer and constructivist grounded theory is a feasible means of collecting rich qualitative data to guide policy development. Healthcare administrators and medical educators should consider incorporating this methodology early in policy development to anticipate how value differences between physician groups will influence their acceptance of policies and other broad healthcare initiatives. PMID:28235088
-
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.
-
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
-
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.
-
Composition of web services using Markov decision processes and dynamic programming.
Uc-Cetina, Víctor; Moo-Mena, Francisco; Hernandez-Ucan, Rafael
2015-01-01
We propose a Markov decision process model for solving the Web service composition (WSC) problem. Iterative policy evaluation, value iteration, and policy iteration algorithms are used to experimentally validate our approach, with artificial and real data. The experimental results show the reliability of the model and the methods employed, with policy iteration being the best one in terms of the minimum number of iterations needed to estimate an optimal policy, with the highest Quality of Service attributes. Our experimental work shows how the solution of a WSC problem involving a set of 100,000 individual Web services and where a valid composition requiring the selection of 1,000 services from the available set can be computed in the worst case in less than 200 seconds, using an Intel Core i5 computer with 6 GB RAM. Moreover, a real WSC problem involving only 7 individual Web services requires less than 0.08 seconds, using the same computational power. Finally, a comparison with two popular reinforcement learning algorithms, sarsa and Q-learning, shows that these algorithms require one or two orders of magnitude and more time than policy iteration, iterative policy evaluation, and value iteration to handle WSC problems of the same complexity.
-
The Health Technology Assessment of companion diagnostics: experience of NICE.
Byron, Sarah K; Crabb, Nick; George, Elisabeth; Marlow, Mirella; Newland, Adrian
2014-03-15
Companion diagnostics are used to aid clinical decision making to identify patients who are most likely to respond to treatment. They are becoming increasingly important as more new pharmaceuticals receive licensed indications that require the use of a companion diagnostic to identify the appropriate patient subgroup for treatment. These pharmaceuticals have proven benefit in the treatment of some cancers and other diseases, and also have potential to precisely tailor treatments to the individual in the future. However, the increasing use of companion diagnostics could place a substantial burden on health system resources to provide potentially high volumes of testing. This situation, in part, has led policy makers and Health Technology Assessment (HTA) bodies to review the policies and methods used to make reimbursement decisions for pharmaceuticals requiring companion diagnostics. The assessment of a pharmaceutical alongside the companion diagnostic used in the clinical trials may be relatively straightforward, although there are a number of challenges associated with assessing pharmaceuticals where a range of alternative companion diagnostics are available for use in routine clinical practice. The UK HTA body, the National Institute for Health and Care Excellence (NICE), has developed policy for considering companion diagnostics using its Technology Appraisal and Diagnostics Assessment Programs. Some HTA bodies in other countries have also adapted their policies and methods to accommodate the assessment of companion diagnostics. Here, we provide insight into the HTA of companion diagnostics for reimbursement decisions and how the associated challenges are being addressed, in particular by NICE. See all articles in this CCR Focus section, "The Precision Medicine Conundrum: Approaches to Companion Diagnostic Co-development." ©2014 AACR.
-
Value of information analysis in healthcare: a review of principles and applications.
Tuffaha, Haitham W; Gordon, Louisa G; Scuffham, Paul A
2014-06-01
Economic evaluations are increasingly utilized to inform decisions in healthcare; however, decisions remain uncertain when they are not based on adequate evidence. Value of information (VOI) analysis has been proposed as a systematic approach to measure decision uncertainty and assess whether there is sufficient evidence to support new technologies. The objective of this paper is to review the principles and applications of VOI analysis in healthcare. Relevant databases were systematically searched to identify VOI articles. The findings from the selected articles were summarized and narratively presented. Various VOI methods have been developed and applied to inform decision-making, optimally designing research studies and setting research priorities. However, the application of this approach in healthcare remains limited due to technical and policy challenges. There is a need to create more awareness about VOI analysis, simplify its current methods, and align them with the needs of decision-making organizations.
-
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.
-
Student Leadership: A Checklist for Success.
ERIC Educational Resources Information Center
Chmielewski, Tonya R.
2000-01-01
Presents a checklist of student-government advisers' responsibilities governing bylaws, organization, section or appointment guidelines, job descriptions, committees, meetings, attendance policies, decision making, problem solving, public relations, goals, communication methods, training, budgets, fund raising, advertising, and other matters. A…
-
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 address strategies to inform and engage the public in policy development and implementation. The importance of engaging the public (both patients and citizens) at all levels of health systems is widely recognised. They are the ultimate recipients of the desirable and undesirable impacts of public policies, and many governments and organisations have acknowledged the value of engaging them in evidence-informed policy development. The potential benefits of doing this include the establishment of policies that include their ideas and address their concerns, the improved implementation of policies, improved health services, and better health. Public engagement can also be viewed as a goal in itself by encouraging participative democracy, public accountability and transparency. We suggest three questions that can be considered with regard to public participation strategies. These are: 1. What strategies can be used when working with the mass media to inform the public about policy development and implementation? 2. What strategies can be used when working with civil society groups to inform and engage them in policy development and implementation? 3. What methods can be used to involve consumers in policy development and implementation? PMID:20018105
-
Reflections on the evolution of health technology assessment in Europe.
Sorenson, Corinna; Chalkidou, Kalipso
2012-01-01
Health technology assessment (HTA) has assumed an increasing role in health systems in recent years, with many countries establishing agencies or programmes to evaluate health technology and other interventions to inform policy decisions and clinical practice. This paper reflects upon its development and evolution in Europe over the last decade, with a focus on England, France, Germany and Sweden. In particular, we explore how HTA has evolved over time as well as its impact on policy and practice. While countries share many of the same objectives, there are differences in the way HTA agencies and programmes are organised, operate, and influence decision making. Despite these differences, all systems are faced with opportunities and challenges related to stakeholder involvement and acceptance, the suitability and transparency of assessment requirements and methods, balancing evidence and values in decision making, and demonstrating impact. © Cambridge University Press 2012
-
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.
-
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.
-
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.
-
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.
-
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
-
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.
-
[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.
-
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.
-
Fort Collins Science Center: Policy Analysis and Science Assistance
Lamb, Berton L.
2004-01-01
PASA's mission is to integrate biological, social, and economic research so that resource managers can use the resulting information to make informed decisions and resolve resource management conflicts. PASA scientists pursue and conduct scientific analyses that help agencies and Native American tribes to (1) identify impending policy controversies and areas where social and natural science research is needed to address future policy questions; (2) develop methods and approaches to assist researchers in preparing scientific evidence; (3) assess habitat alteration in a manner consistent with policy needs; and (4) evaluate policy options. Branch scientists also evaluate policy options (e.g., effects of different land treatments, fish and wildlife management practices, or visitor/recreation management practices) in response to specific questions faced by policymakers and managers.
-
NASA Astrophysics Data System (ADS)
Howarth, C.
2016-12-01
The nexus represents a multi-dimensional means of scientific enquiry encapsulating the complex and non-linear interactions between water, energy, food, environment with the climate, and wider implications for society. These resources are fundamental for human life but are negatively affected by climate change. Methods of analysis, which are currently used, were not built to represent complex systems and are insufficiently equipped to understand positive and negative externalities generated by interactions among different stakeholders involved in the nexus. In addition misalignment between the science that scientists produce and the evidence decision-makers need leads to a range of complexities within the science-policy interface. Adopting a bottom-up, participative approach, the results of five themed workshops organized in the UK (focusing on: shocks and hazards, infrastructure, local economy, governance and governments, finance and insurance) featuring 80 stakeholders from academia, government and industry allow us to map perceptions of opportunities and challenges of better informing decision making on climate change when there is a strong disconnect between the evidence scientists provide and the actions decision makers take. The research identified key areas where gaps could be bridged between science and action and explores how a knowledge co-production approach can help identify opportunities for building a more effective and legitimate policy agenda to face climate risks. Concerns, barriers and opportunities to better inform decision making centred on four themes: communication and collaboration, decision making processes, social and cultural dimensions, and the nature of responses to nexus shocks. In so doing, this analysis provides an assessment of good practice on climate decision-making and highlights opportunities for improvement to bridge gaps in the science-policy interface
-
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.
-
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
-
Workshop: Valuation of Ecological Benefits: Improving the Science Behind Policy Decisions (2005)
Two-day workshop includes research examining the benefits of improved coastal water quality, the value of improved fresh water quality, advances in the stated preference valuation method, balancing conservation and urban growth, and valuing biodiversity.
-
School Library Acquisitions: A Model for Calculating Costs
ERIC Educational Resources Information Center
Lauterman, Alfred; Lazarescu, Sandu
1977-01-01
Romanian research findings offer a theoretical model with which financing of the annual acquisition of books per pupil at a given educational level can be objectively ascertained. Methods of financing and acquisitions policy decisions are discussed. (Author/JAB)
-
Stakeholder engagement in policy development: challenges and opportunities for human genomics
Lemke, Amy A.; Harris-Wai, Julie N.
2015-01-01
Along with rapid advances in human genomics, policies governing genomic data and clinical technologies have proliferated. Stakeholder engagement is widely lauded as an important methodology for improving clinical, scientific, and public health policy decision making. The purpose of this paper is to examine how stakeholder engagement is used to develop policies in genomics research and public health areas, as well as to identify future priorities for conducting evidence-based stakeholder engagements. We focus on exemplars in biobanking and newborn screening to illustrate a variety of current stakeholder engagement in policy-making efforts. Each setting provides an important context for examining the methods of obtaining and integrating informed stakeholder voices into the policy-making process. While many organizations have an interest in engaging stakeholders with regard to genomic policy issues, there is broad divergence with respect to the stakeholders involved, the purpose of engagements, when stakeholders are engaged during policy development, methods of engagement, and the outcomes reported. Stakeholder engagement in genomics policy development is still at a nascent stage. Several challenges of using stakeholder engagement as a tool for genomics policy development remain, and little evidence regarding how to best incorporate stakeholder feedback into policy-making processes is currently available. PMID:25764215
-
Stakeholder engagement in policy development: challenges and opportunities for human genomics.
Lemke, Amy A; Harris-Wai, Julie N
2015-12-01
Along with rapid advances in human genomics, policies governing genomic data and clinical technologies have proliferated. Stakeholder engagement is widely lauded as an important methodology for improving clinical, scientific, and public health policy decision making. The purpose of this paper is to examine how stakeholder engagement is used to develop policies in genomics research and public health areas, as well as to identify future priorities for conducting evidence-based stakeholder engagements. We focus on exemplars in biobanking and newborn screening to illustrate a variety of current stakeholder engagement in policy-making efforts. Each setting provides an important context for examining the methods of obtaining and integrating informed stakeholder voices into the policy-making process. While many organizations have an interest in engaging stakeholders with regard to genomic policy issues, there is broad divergence with respect to the stakeholders involved, the purpose of engagements, when stakeholders are engaged during policy development, methods of engagement, and the outcomes reported. Stakeholder engagement in genomics policy development is still at a nascent stage. Several challenges of using stakeholder engagement as a tool for genomics policy development remain, and little evidence regarding how to best incorporate stakeholder feedback into policy-making processes is currently available.
-
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.
-
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…
-
Wong, John B.; Coates, Paul M.; Russell, Robert M.; Dwyer, Johanna T.; Schuttinga, James A.; Bowman, Barbara A.; Peterson, Sarah A.
2011-01-01
Increased interest in the potential societal benefit of incorporating health economics as a part of clinical translational science, particularly nutrition interventions, led the Office of Dietary Supplements at the National Institutes of Health to sponsor a conference to address key questions about economic analysis of nutrition interventions to enhance communication among health economic methodologists, researchers, reimbursement policy makers, and regulators. Issues discussed included the state of the science, such as what health economic methods are currently used to judge the burden of illness, interventions, or health care policies, and what new research methodologies are available or needed to address knowledge and methodological gaps or barriers. Research applications included existing evidence-based health economic research activities in nutrition that are ongoing or planned at federal agencies. International and U.S. regulatory, policy and clinical practice perspectives included a discussion of how research results can help regulators and policy makers within government make nutrition policy decisions, and how economics affects clinical guideline development. PMID:21884133
-
Roll, Coralie L; Cheater, Francine
2016-08-01
To explore the factors that influence expectant parents' infant feeding decisions in the antenatal period. Mixed method systematic review focussing on participant views data. CINAHL, Medline, Embase and PsychInfo databases were interrogated using initial keywords and then refined terms to elicit relevant studies. Reference lists were checked and hand-searching was undertaken for 2 journals ('Midwifery' and 'Social Science and Medicine') covering a 3 year time period (January 2011-March 2014). Key inclusion criteria: studies reflecting expectant parents' views of the factors influencing their infant feeding decisions in the antenatal period; Studies in the English language published after 1990, from developed countries and of qualitative, quantitative or mixed method design. A narrative interpretive synthesis of the views data from studies of qualitative, quantitative and mixed method design. Data were extracted on study characteristics and parents' views, using the Social Ecological Model to support data extraction and thematic synthesis. Synthesis was influenced by the Evidence for Policy and Practice Information and Co-Ordinating Centre approach to mixed method reviews. Of the 409 studies identified through search methods, 17 studies met the inclusion criteria for the review. Thematic synthesis identified 9 themes: Bonding/Attachment; Body Image; Self Esteem/Confidence; Female Role Models; Family and Support Network; Lifestyle; Formal Information Sources; Knowledge; and Feeding in front of others/Public. The review identified a significant bias in the data towards negative factors relating to the breastfeeding decision, suggesting that infant feeding was not a choice between two feeding options, but rather a process of weighing reasons for and against breastfeeding. Findings reflected the perception of the maternal role as intrinsic to the expectant mothers' infant feeding decisions. Cultural perceptions permeated personal, familial and social influences on the decision-making process. Expectant mothers were sensitive to the way professionals attempted to support and inform them about infant feeding choices. By taking a Social Ecological perspective, we were able to explore and demonstrate the multiple influences impacting on expectant parents in the decision-making process. A better understanding of expectant parents' views and experiences in making infant feeding decisions in the prenatal and antenatal periods will inform public health policy and the coordination of service provision to support infant feeding activities. Copyright © 2016 Elsevier Ltd. All rights reserved.
-
DOE Office of Scientific and Technical Information (OSTI.GOV)
Olsen, D.
1983-01-01
Electric power policy has become a prominent concern, affecting the well-being of all who live in the Pacific Northwest. This study focuses on the formulation of electric power policy in the Pacific Northwest from the New Deal era (1934) to the development of the first regional power plan (1983) prepared by the Regional Power Council. The methodology relied upon to prepare this study may best be described as historical geography. Historical geography adopts the conceptual and technical perspectives of several research fields: geography, regional planning, economics, environmental science, political science, sociology, and policy sciences - in addition to traditional historicalmore » methods. Four key power policy components were evaluated in this study: decision makers and influential groups, policy issues, policy implementation process, and policy results.« less
-
2013-01-01
Background Health insurance is an important mechanism that succors individuals, states and the nation at large. The purpose of this study was to assess individual’s attitude towards health insurance policy and the factors that influence respondents’ decision to renew their health insurance policy when it expires. Methods This cross sectional study was conducted in the Volta region of Ghana. A total of 300 respondents were randomly sampled and interviewed for the study. Data was collected at the household level and analyzed with STATA software. Descriptive statistics was used to assess the demographic characteristics of the respondents while Logistic regression model was used to assess factors that influence respondents’ decision to take up health insurance policy and renew it. Results The study results indicate that 61.1% of respondents are currently being enrolled in the NHIS, 23.9% had not renewed their insurance after enrollment and 15% had never enrolled. Reasons cited for non-renewal of insurance included poor service quality (58%), lack of money (49%) and taste of other sources of care (23%). The gender, marital status, religion and perception of health status of respondents significantly influenced their decision to enroll and remain in NHIS. Conclusion NHIS has come to stay with clients testifying to its benefits in keeping them strong and healthy. Efforts therefore must be put in by all stakeholders including the community to educate the individuals on the benefits of health insurance to ensure all have optimal access. PMID:23822579
-
Clarity versus complexity: land-use modeling as a practical tool for decision-makers
Sohl, Terry L.; Claggett, Peter
2013-01-01
The last decade has seen a remarkable increase in the number of modeling tools available to examine future land-use and land-cover (LULC) change. Integrated modeling frameworks, agent-based models, cellular automata approaches, and other modeling techniques have substantially improved the representation of complex LULC systems, with each method using a different strategy to address complexity. However, despite the development of new and better modeling tools, the use of these tools is limited for actual planning, decision-making, or policy-making purposes. LULC modelers have become very adept at creating tools for modeling LULC change, but complicated models and lack of transparency limit their utility for decision-makers. The complicated nature of many LULC models also makes it impractical or even impossible to perform a rigorous analysis of modeling uncertainty. This paper provides a review of land-cover modeling approaches and the issues causes by the complicated nature of models, and provides suggestions to facilitate the increased use of LULC models by decision-makers and other stakeholders. The utility of LULC models themselves can be improved by 1) providing model code and documentation, 2) through the use of scenario frameworks to frame overall uncertainties, 3) improving methods for generalizing key LULC processes most important to stakeholders, and 4) adopting more rigorous standards for validating models and quantifying uncertainty. Communication with decision-makers and other stakeholders can be improved by increasing stakeholder participation in all stages of the modeling process, increasing the transparency of model structure and uncertainties, and developing user-friendly decision-support systems to bridge the link between LULC science and policy. By considering these options, LULC science will be better positioned to support decision-makers and increase real-world application of LULC modeling results.
-
Tran, Liem T; Knight, C Gregory; O'Neill, Robert V; Smith, Elizabeth R; Riitters, Kurt H; Wickham, James
2002-06-01
A fuzzy decision analysis method for integrating ecological indicators was developed. This was a combination of a fuzzy ranking method and the analytic hierarchy process (AHP). The method was capable of ranking ecosystems in terms of environmental conditions and suggesting cumulative impacts across a large region. Using data on land cover, population, roads, streams, air pollution, and topography of the Mid-Atlantic region, we were able to point out areas that were in relatively poor condition and/or vulnerable to future deterioration. The method offered an easy and comprehensive way to combine the strengths of fuzzy set theory and the AHP for ecological assessment. Furthermore, the suggested method can serve as a building block for the evaluation of environmental policies.
-
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
-
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.
-
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.
-
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.
-
Who runs public health? A mixed-methods study combining qualitative and network analyses.
Oliver, Kathryn; de Vocht, Frank; Money, Annemarie; Everett, Martin
2013-09-01
Persistent health inequalities encourage researchers to identify new ways of understanding the policy process. Informal relationships are implicated in finding evidence and making decisions for public health policy (PHP), but few studies use specialized methods to identify key actors in the policy process. We combined network and qualitative data to identify the most influential individuals in PHP in a UK conurbation and describe their strategies to influence policy. Network data were collected by asking for nominations of powerful and influential people in PHP (n = 152, response rate 80%), and 23 semi-structured interviews were analysed using a framework approach. The most influential PHP makers in this conurbation were mid-level managers in the National Health Service and local government, characterized by managerial skills: controlling policy processes through gate keeping key organizations, providing policy content and managing selected experts and executives to lead on policies. Public health professionals and academics are indirectly connected to policy via managers. The most powerful individuals in public health are managers, not usually considered targets for research. As we show, they are highly influential through all stages of the policy process. This study shows the importance of understanding the daily activities of influential policy individuals.
-
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.
-
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.
-
Urban forest ecosystem services: A case study in Corvallis,Oregon
Background/Questions/Methods One EPA research focus is quantifying ecosystem services, benefits that ecosystems provide to humans, in order to promote informed natural resource management decisions and to assess the effectiveness of existing environmental policies. A case study...
-
Dynamic travel information personalized and delivered to your cell phone.
DOT National Transportation Integrated Search
2011-01-01
The policy of FDOT is to use the Florida Advance Traveler Information System as the primary method to disseminate timely and important travel information to the public so that the public can make informed decisions regarding their travel plans....
-
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
-
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.
-
2010-01-01
The Fort Collins Science Center's Policy Analysis and Science Assistance (PASA) Branch is a team of approximately 22 scientists, technicians, and graduate student researchers. PASA provides unique capabilities in the U.S. Geological Survey by leading projects that integrate social, behavioral, economic, and biological analyses in the context of human-natural resource interactions. Resource planners, managers, and policymakers in the U.S. Departments of the Interior (DOI) and Agriculture (USDA), State and local agencies, as well as international agencies use information from PASA studies to make informed natural resource management and policy decisions. PASA scientists' primary functions are to conduct both theoretical and applied social science research, provide technical assistance, and offer training to advance performance in policy relevant research areas. Management and research issues associated with human-resource interactions typically occur in a unique context, involve difficult to access populations, require knowledge of both natural/biological science in addition to social science, and require the skill to integrate multiple science disciplines. In response to these difficult contexts, PASA researchers apply traditional and state-of-the-art social science methods drawing from the fields of sociology, demography, economics, political science, communications, social-psychology, and applied industrial organization psychology. Social science methods work in concert with our rangeland/agricultural management, wildlife, ecology, and biology capabilities. The goal of PASA's research is to enhance natural resource management, agency functions, policies, and decision-making. Our research is organized into four broad areas of study.
-
NASA Astrophysics Data System (ADS)
Mohammed, Habiba Ibrahim; Majid, Zulkepli; Yusof, Norhakim Bin; Bello Yamusa, Yamusa
2018-03-01
Landfilling remains the most common systematic technique of solid waste disposal in most of the developed and developing countries. Finding a suitable site for landfill is a very challenging task. Landfill site selection process aims to provide suitable areas that will protect the environment and public health from pollution and hazards. Therefore, various factors such as environmental, physical, socio-economic, and geological criteria must be considered before siting any landfill. This makes the site selection process vigorous and tedious because it involves the processing of large amount of spatial data, rules and regulations from different agencies and also policy from decision makers. This allows the incorporation of conflicting objectives and decision maker preferences into spatial decision models. This paper particularly analyzes the multi-criteria evaluation (MCE) method of landfill site selection for solid waste management by means of literature reviews and surveys. The study will help the decision makers and waste management authorities to choose the most effective method when considering landfill site selection.
-
Family medicine in Iran: facing the health system challenges.
Esmaeili, Reza; Hadian, Mohammad; Rashidian, Arash; Shariati, Mohammad; Ghaderi, Hossien
2014-11-30
In response to the current fragmented context of health systems, it is essential to support the revitalization of primary health care in order to provide a stronger sense of direction and integrity. Around the world, family medicine recognized as a core discipline for strengthening primary health care setting. This study aimed to understand the perspectives of policy makers and decision makers of Iran's health system about the implementation of family medicine in Iran urban areas. This study is a qualitative study with framework analysis. Purposive semi-structured interviews were conducted with Policy and decision makers in the five main organizations of Iran health care system. The codes were extracted using inductive and deductive methods. According to 27 semi-structured interviews were conducted with Policy and decision makers, three main themes and 8 subthemes extracted, including: The development of referral system, better access to health care and the management of chronic diseases. Family medicine is a viable means for a series of crucial reforms in the face of the current challenges of health system. Implementation of family medicine can strengthen the PHC model in Iran urban areas. Attempting to create a general consensus among various stakeholders is essential for effective implementation of the project.
-
Choice in experiential learning: True preferences or experimental artifacts?
Ashby, Nathaniel J S; Konstantinidis, Emmanouil; Yechiam, Eldad
2017-03-01
The rate of selecting different options in the decisions-from-feedback paradigm is commonly used to measure preferences resulting from experiential learning. While convergence to a single option increases with experience, some variance in choice remains even when options are static and offer fixed rewards. Employing a decisions-from-feedback paradigm followed by a policy-setting task, we examined whether the observed variance in choice is driven by factors related to the paradigm itself: Continued exploration (e.g., believing options are non-stationary) or exploitation of perceived outcome patterns (i.e., a belief that sequential choices are not independent). Across two studies, participants showed variance in their choices, which was related (i.e., proportional) to the policies they set. In addition, in Study 2, participants' reported under-confidence was associated with the amount of choice variance in later choices and policies. These results suggest that variance in choice is better explained by participants lacking confidence in knowing which option is better, rather than methodological artifacts (i.e., exploration or failures to recognize outcome independence). As such, the current studies provide evidence for the decisions-from-feedback paradigm's validity as a behavioral research method for assessing learned preferences. Copyright © 2017 Elsevier B.V. All rights reserved.
-
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.
-
Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning.
Feng, Yuntian; Zhang, Hongjun; Hao, Wenning; Chen, Gang
2017-01-01
We use both reinforcement learning and deep learning to simultaneously extract entities and relations from unstructured texts. For reinforcement learning, we model the task as a two-step decision process. Deep learning is used to automatically capture the most important information from unstructured texts, which represent the state in the decision process. By designing the reward function per step, our proposed method can pass the information of entity extraction to relation extraction and obtain feedback in order to extract entities and relations simultaneously. Firstly, we use bidirectional LSTM to model the context information, which realizes preliminary entity extraction. On the basis of the extraction results, attention based method can represent the sentences that include target entity pair to generate the initial state in the decision process. Then we use Tree-LSTM to represent relation mentions to generate the transition state in the decision process. Finally, we employ Q -Learning algorithm to get control policy π in the two-step decision process. Experiments on ACE2005 demonstrate that our method attains better performance than the state-of-the-art method and gets a 2.4% increase in recall-score.
-
Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning
Zhang, Hongjun; Chen, Gang
2017-01-01
We use both reinforcement learning and deep learning to simultaneously extract entities and relations from unstructured texts. For reinforcement learning, we model the task as a two-step decision process. Deep learning is used to automatically capture the most important information from unstructured texts, which represent the state in the decision process. By designing the reward function per step, our proposed method can pass the information of entity extraction to relation extraction and obtain feedback in order to extract entities and relations simultaneously. Firstly, we use bidirectional LSTM to model the context information, which realizes preliminary entity extraction. On the basis of the extraction results, attention based method can represent the sentences that include target entity pair to generate the initial state in the decision process. Then we use Tree-LSTM to represent relation mentions to generate the transition state in the decision process. Finally, we employ Q-Learning algorithm to get control policy π in the two-step decision process. Experiments on ACE2005 demonstrate that our method attains better performance than the state-of-the-art method and gets a 2.4% increase in recall-score. PMID:28894463
-
Composition of Web Services Using Markov Decision Processes and Dynamic Programming
Uc-Cetina, Víctor; Moo-Mena, Francisco; Hernandez-Ucan, Rafael
2015-01-01
We propose a Markov decision process model for solving the Web service composition (WSC) problem. Iterative policy evaluation, value iteration, and policy iteration algorithms are used to experimentally validate our approach, with artificial and real data. The experimental results show the reliability of the model and the methods employed, with policy iteration being the best one in terms of the minimum number of iterations needed to estimate an optimal policy, with the highest Quality of Service attributes. Our experimental work shows how the solution of a WSC problem involving a set of 100,000 individual Web services and where a valid composition requiring the selection of 1,000 services from the available set can be computed in the worst case in less than 200 seconds, using an Intel Core i5 computer with 6 GB RAM. Moreover, a real WSC problem involving only 7 individual Web services requires less than 0.08 seconds, using the same computational power. Finally, a comparison with two popular reinforcement learning algorithms, sarsa and Q-learning, shows that these algorithms require one or two orders of magnitude and more time than policy iteration, iterative policy evaluation, and value iteration to handle WSC problems of the same complexity. PMID:25874247
-
Xie, Y L; Li, Y P; Huang, G H; Li, Y F; Chen, L R
2011-04-15
In this study, an inexact-chance-constrained water quality management (ICC-WQM) model is developed for planning regional environmental management under uncertainty. This method is based on an integration of interval linear programming (ILP) and chance-constrained programming (CCP) techniques. ICC-WQM allows uncertainties presented as both probability distributions and interval values to be incorporated within a general optimization framework. Complexities in environmental management systems can be systematically reflected, thus applicability of the modeling process can be highly enhanced. The developed method is applied to planning chemical-industry development in Binhai New Area of Tianjin, China. Interval solutions associated with different risk levels of constraint violation have been obtained. They can be used for generating decision alternatives and thus help decision makers identify desired policies under various system-reliability constraints of water environmental capacity of pollutant. Tradeoffs between system benefits and constraint-violation risks can also be tackled. They are helpful for supporting (a) decision of wastewater discharge and government investment, (b) formulation of local policies regarding water consumption, economic development and industry structure, and (c) analysis of interactions among economic benefits, system reliability and pollutant discharges. Copyright © 2011 Elsevier B.V. All rights reserved.
-
DOE Office of Scientific and Technical Information (OSTI.GOV)
de Bremond, Ariane; Engle, Nathan L.
2014-01-30
Climate change is rapidly undermining terrestrial ecosystem resilience and capacity to continue providing their services to the benefit of humanity and nature. Because of the importance of terrestrial ecosystems to human well-being and supporting services, decision makers throughout the world are busy creating policy responses that secure multiple development and conservation objectives- including that of supporting terrestrial ecosystem resilience in the context of climate change. This article aims to advance analyses on climate policy evaluation and planning in the area of terrestrial ecosystem resilience by discussing adaptation policy options within the ecology-economy-social nexus. The paper evaluates these decisions in themore » realm of terrestrial ecosystem resilience and evaluates the utility of a set of criteria, indicators, and assessment methods, proposed by a new conceptual multi-criteria framework for pro-development climate policy and planning developed by the United Nations Environment Programme. Potential applications of a multicriteria approach to climate policy vis-A -vis terrestrial ecosystems are then explored through two hypothetical case study examples. The paper closes with a brief discussion of the utility of the multi-criteria approach in the context of other climate policy evaluation approaches, considers lessons learned as a result efforts to evaluate climate policy in the realm of terrestrial ecosystems, and reiterates the role of ecosystem resilience in creating sound policies and actions that support the integration of climate change and development goals.« less
-
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.
-
Thomas, Adam; Karpilow, Quentin
2016-08-01
The risk of pregnancy is estimated to be 20 times as high among women who use oral contraception, and 90 times as high among condom users, as among women who use certain long-acting contraceptive methods. We explored the population-level implications of this variation in contraceptive efficacy. We used the FamilyScape 3.0 microsimulation model to study the effects on the nonmarital pregnancy rate of movements along two different margins of contraceptive behavior: the extensive margin, which captures decisions about whether to initiate use of any method of contraception among noncontraceptors; and the intensive margin, which captures the choice of methods among contraceptors. The model is populated with a nationally representative sample of 50,000 women who are of childbearing age. The impact on the number of nonmarital pregnancies would not be substantially different if noncontraceptors adopted long-acting methods than if they began using oral contraception. Moreover, the nonmarital pregnancy rate would be reduced by about twice as much if a subset of noncontraceptors began using condoms as if an equal number of pill users took up long-acting methods. The prevailing emphasis on long-acting contraception is somewhat misplaced. Policymakers and practitioners will have the largest effects on fertility outcomes if they can change the behavior of sexually active women who neglect to use birth control when they are not seeking pregnancy. Women's decisions about which methods to use are less impactful than their decisions about whether to use contraception at all. The policies that affect method choice are likely to differ from the policies that address the underlying motivations of noncontraceptors who are not seeking pregnancy. Copyright © 2016 Elsevier Inc. 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
-
NASA Astrophysics Data System (ADS)
Childs-Gleason, L. M.; Ross, K. W.; Crepps, G.; Miller, T. N.; Favors, J. E.; Rogers, L.; Allsbrook, K. N.; Bender, M. R.; Ruiz, M. L.
2015-12-01
NASA's DEVELOP National Program fosters an immersive research environment for dual capacity building. Through rapid feasibility Earth science projects, the future workforce and current decision makers are engaged in research projects to build skills and capabilities to use Earth observation in environmental management and policy making. DEVELOP conducts over 80 projects annually, successfully building skills through partnerships with over 150 organizations and providing over 350 opportunities for project participants each year. Filling a void between short-term training courses and long-term research projects, the DEVELOP model has been successful in supporting state, local, federal and international government organizations to adopt methodologies and enhance decision making processes. This presentation will highlight programmatic best practices, feedback from participants and partner organizations, and three sample case studies of successful adoption of methods in the decision making process.
-
Selected Analytical Methods for Environmental Remediation and Recovery (SAM) Presentation for APHL
The US Environmental Protection Agency’s Office of Research and Development (ORD) conducts cutting-edge research that provides the underpinning of science and technology for public health and environmental policies and decisions made by federal, state and other governmental...
-
50 CFR 530.3 - Typical classes of action.
Code of Federal Regulations, 2010 CFR
2010-10-01
... Federal agency; and (b) Research contracts relating to policy issues, biological-ecological data needed to make sound management decisions, and better methods for collecting and analyzing data. These activities are not, by themselves, major Federal actions significantly affecting the quality of the human...
-
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
-
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
-
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.
-
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.
-
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.
-
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…
-
Advancing Alternative Analysis: Integration of Decision Science
Zaunbrecher, Virginia M.; Batteate, Christina M.; Blake, Ann; Carroll, William F.; Corbett, Charles J.; Hansen, Steffen Foss; Lempert, Robert J.; Linkov, Igor; McFadden, Roger; Moran, Kelly D.; Olivetti, Elsa; Ostrom, Nancy K.; Romero, Michelle; Schoenung, Julie M.; Seager, Thomas P.; Sinsheimer, Peter; Thayer, Kristina A.
2017-01-01
Background: Decision analysis—a systematic approach to solving complex problems—offers tools and frameworks to support decision making that are increasingly being applied to environmental challenges. Alternatives analysis is a method used in regulation and product design to identify, compare, and evaluate the safety and viability of potential substitutes for hazardous chemicals. Objectives: We assessed whether decision science may assist the alternatives analysis decision maker in comparing alternatives across a range of metrics. Methods: A workshop was convened that included representatives from government, academia, business, and civil society and included experts in toxicology, decision science, alternatives assessment, engineering, and law and policy. Participants were divided into two groups and were prompted with targeted questions. Throughout the workshop, the groups periodically came together in plenary sessions to reflect on other groups’ findings. Results: We concluded that the further incorporation of decision science into alternatives analysis would advance the ability of companies and regulators to select alternatives to harmful ingredients and would also advance the science of decision analysis. Conclusions: We advance four recommendations: a) engaging the systematic development and evaluation of decision approaches and tools; b) using case studies to advance the integration of decision analysis into alternatives analysis; c) supporting transdisciplinary research; and d) supporting education and outreach efforts. https://doi.org/10.1289/EHP483 PMID:28669940
-
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.
-
Jauregui, Barbara; Garcia, Ana Gabriela Felix; Janusz, Cara Bess; Blau, Julia; Munier, Aline; Atherly, Deborah; Mvundura, Mercy; Hajjeh, Rana; Lopman, Benjamin; Clark, Andrew David; Baxter, Louise; Hutubessy, Raymond; de Quadros, Ciro; Andrus, Jon Kim
2015-01-01
Introduction Pan American Health Organization’s (PAHO) ProVac Initiative aims to strengthen countries’ technical capacity to make evidence-based immunization policy. With financial support from the Bill and Melinda Gates Foundation, PAHO established the ProVac International Working Group (IWG), a platform created for two years to transfer the ProVac Initiative’s tools and methods to support decisions in non-PAHO regions. Methods In 2011, WHO Regional Offices and partner agencies established the IWG to transfer the ProVac framework for new vaccine decision support, including tools and trainings to other regions of the world. During the two year period, PAHO served as the coordinating secretariat and partner agencies played implementing or advisory roles. Results Fifty nine national professionals from 17 countries received training on the use of economic evaluations to aid vaccine policy making through regional workshops. The IWG provided direct technical support to nine countries to develop cost-effectiveness analyses to inform decisions. All nine countries introduced the new vaccine evaluated or their NITAGs have made a recommendation to the Ministry of Health to introduce the new vaccine. Discussion Developing countries around the world are increasingly interested in weighing the potential health impact due to new vaccine introduction against the investments required. During the two years, the ProVac approach proved valuable and timely to aid the national decision making processes, even despite the different challenges and idiosyncrasies encountered in each region. The results of this work suggest that: (1) there is great need and demand for technical support and for capacity building around economic evaluations; and (2) the ProVac method of supporting country-owned analyses is as effective in other regions as it has been in the PAHO region. Conclusion Decision support for new vaccine introduction in low- and middle-income countries is critical to guiding the efficient use of resources and prioritizing high impact vaccination programs. PMID:25919170
-
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.
-
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.
-
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…
-
77 FR 5155 - Interest Rate Risk Policy and Program
Federal Register 2010, 2011, 2012, 2013, 2014
2012-02-02
... directors and management; appropriate IRR measurement and monitoring systems; good internal controls; and informed decision-making based on IRR measurement system results. It also provides guidelines for... technical aspects of IRR measurement methods. Of these, some said Appendix B implied a preference for the...
-
50 CFR 530.3 - Typical classes of action.
Code of Federal Regulations, 2011 CFR
2011-10-01
... respect to the preparation of EIS's or environmental assessments. As a general matter, the Commission's... Federal agency; and (b) Research contracts relating to policy issues, biological-ecological data needed to make sound management decisions, and better methods for collecting and analyzing data. These activities...
-
NASA Astrophysics Data System (ADS)
Garner, G. G.; Keller, K.
2017-12-01
Sea-level rise poses considerable risks to coastal communities, ecosystems, and infrastructure. Decision makers are faced with deeply uncertain sea-level projections when designing a strategy for coastal adaptation. The traditional methods have provided tremendous insight into this decision problem, but are often silent on tradeoffs as well as the effects of tail-area events and of potential future learning. Here we reformulate a simple sea-level rise adaptation model to address these concerns. We show that Direct Policy Search yields improved solution quality, with respect to Pareto-dominance in the objectives, over the traditional approach under uncertain sea-level rise projections and storm surge. Additionally, the new formulation produces high quality solutions with less computational demands than the traditional approach. Our results illustrate the utility of multi-objective adaptive formulations for the example of coastal adaptation, the value of information provided by observations, and point to wider-ranging application in climate change adaptation decision problems.
-
Decision making in liver transplant selection committees: a multicenter study.
Volk, Michael L; Biggins, Scott W; Huang, Mary Ann; Argo, Curtis K; Fontana, Robert J; Anspach, Renee R
2011-10-18
To receive a liver transplant, patients must first be placed on a waiting list-a decision made at most transplant centers by a multidisciplinary committee. The function of these committees has never been studied. To describe decision making in liver transplant committees and identify opportunities for process improvement. Observational multicenter study. 4 liver transplant centers in the United States. 68 members of liver transplant committees across the 4 centers. 63 meetings were observed, and 50 committee members were interviewed. Recorded transcripts and field notes were analyzed by using standard qualitative sociologic methods. Although the structure of the meetings varied by center, the process was uniform and primarily involved inductive reasoning to review possible reasons for patient exclusion. Patients were excluded if they were too well, too sick (in the setting of advanced liver disease), or too old or had nonhepatic comorbid conditions, substance abuse problems, or other psychosocial barriers. Dominant themes in the discussions included member angst over deciding who lived or died, a high correlation between psychosocial barriers to transplantation and the patient's socioeconomic status, and the influence of external forces on decision making. Unwritten center policies and confusion regarding advocacy versus stewardship roles were consistently identified as barriers to effective group decision making. The use of qualitative methods provides broad understanding but limits specific inferences. The 4 centers may not reflect the practices of every transplant center nationwide. The difficult decisions made by liver transplant committees are reasonably consistent and well-intentioned, but the process might be improved by having more explicit written policies and clarifying roles. This may inform resource allocation in other areas of medicine. The Greenwall Foundation and the National Institutes of Health.
-
Decision Making in Liver Transplant Selection Committees
Volk, Michael L; Biggins, Scott W; Huang, Mary Ann; Argo, Curtis K; Fontana, Robert J; Anspach, Renee R
2011-01-01
Background In order to receive a liver transplant, patients must first be placed on the waiting list – a decision made in most transplant centers by a multidisciplinary committee. The function of these committees has never been studied. Objectives To describe decision making in liver transplant committees and identify opportunities for process improvement. Design Observational multi-center Setting We observed 63 meetings and interviewed 50 committee members at 4 liver transplant centers. Study Subjects Transplant committee members. Measurements Recorded transcripts and field notes were analyzed using standard qualitative sociological methods. Results While the structure of meetings varied by center, the process was uniform and involved reviewing possible reasons for patient exclusion using primarily inductive reasoning. Stated justifications for excluding patients were a) too well, b) non-hepatic comorbidities or advanced age, c) too sick in the setting of advanced liver disease, d) substance abuse, or e) other psychosocial barriers. Dominant themes identified included members’ angst over deciding who lives and dies, a high correlation between psychosocial barriers to transplant and patients’ socioeconomic status, and the influence of external forces on decision making. Consistently identified barriers to effective group decision making were: 1) unwritten center policies, and 2) confusion regarding advocacy versus stewardship roles. Limitations The use of qualitative methods provides broad understanding but limits specific inferences. These four centers may not be reflective of every transplant center nationwide. Conclusion The difficult decisions made by these committees are reasonably consistent and always well-intentioned, but might be improved by more explicit written policies and clarifying roles. This process may help inform resource allocation in other areas of medicine. Primary funding source The Greenwall Foundation. PMID:22007044
-
Decision-making contexts involving Earth observations in federal and state government agencies
NASA Astrophysics Data System (ADS)
Kuwayama, Y.; Thompson, A.
2017-12-01
National and international organizations are placing greater emphasis on the societal and economic benefits that can be derived from applications of Earth observations, yet improvements are needed to connect to the decision processes that produce actions with direct societal benefits. The Consortium for the Valuation of Applications Benefits Linked with Earth Science (VALUABLES), a cooperative agreement between Resources for the Future (RFF) and the National Aeronautics and Space Administration (NASA), has the goal of advancing methods for the valuation and communication of the applied benefits linked with Earth observations. One of the Consortium's activities is a set of Policy Briefs that document the use of Earth observations for decision making in federal and state government agencies. In developing these Policy Briefs, we pay special attention to documenting the entire information value chain associated with the use of Earth observations in government decision making, namely (a) the specific data product, modeling capability, or information system used by the agency, (b) the decision context that employs the Earth observation information and translates it into an agency action, (c) the outcomes that are realized as a result of the action, and (d) the beneficiaries associated with the outcomes of the decision. Two key examples include the use of satellite data for informing the US Drought Monitor (USDM), which is used to determine the eligibility of agricultural communities for drought disaster assistance programs housed at the US Department of Agriculture (USDA), and the use of satellite data by the Florida Department of Environmental Protection to develop numeric nutrient water quality standards and monitoring methods for chlorophyll-a, which is codified in Florida state code (62-302.532).
-
Wingate, Peter H; Thornton, George C; McIntyre, Kelly S; Frame, Jennifer H
2003-02-01
The present study examined relationships between reduction-in-force (RIF) personnel practices, presentation of statistical evidence, and litigation outcomes. Policy capturing methods were utilized to analyze the components of 115 federal district court opinions involving age discrimination disparate treatment allegations and organizational downsizing. Univariate analyses revealed meaningful links between RIF personnel practices, use of statistical evidence, and judicial verdict. The defendant organization was awarded summary judgment in 73% of the claims included in the study. Judicial decisions in favor of the defendant organization were found to be significantly related to such variables as formal performance appraisal systems, termination decision review within the organization, methods of employee assessment and selection for termination, and the presence of a concrete layoff policy. The use of statistical evidence in ADEA disparate treatment litigation was investigated and found to be a potentially persuasive type of indirect evidence. Legal, personnel, and evidentiary ramifications are reviewed, and a framework of downsizing mechanics emphasizing legal defensibility is presented.
-
Bennett, Clare; Rebafka, Anne; Carrier, Judith; Edwards, Deborah; Jones, Jonathan
2018-05-01
The review questions are:The specific objectives are:This mixed methods review seeks to develop an aggregated synthesis of quantitative and qualitative data on the HRQOL implications of genital herpes for the individual in order to derive conclusions and recommendations for clinical practice and policy decision making.
-
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
-
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.
-
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.
-
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.
-
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.
-
Edwards, Kyle T
2014-07-01
In recent years, liberal democratic societies have struggled with the question of how best to balance expertise and democratic participation in the regulation of emerging technologies. This study aims to explain how national deliberative ethics committees handle the practical tension between scientific expertise, ethical expertise, expert patient input, and lay public input by explaining two institutions' processes for determining the legitimacy or illegitimacy of reasons in public policy decision-making: that of the United Kingdom's Human Fertilisation and Embryology Authority (HFEA) and the United States' American Society for Reproductive Medicine (ASRM). The articulation of these 'methods of legitimation' draws on 13 in-depth interviews with HFEA and ASRM members and staff conducted in January and February 2012 in London and over Skype, as well as observation of an HFEA deliberation. This study finds that these two institutions employ different methods in rendering certain arguments legitimate and others illegitimate: while the HFEA attempts to 'balance' competing reasons but ultimately legitimizes arguments based on health and welfare concerns, the ASRM seeks to 'filter' out arguments that challenge reproductive autonomy. The notably different structures and missions of each institution may explain these divergent approaches, as may what Sheila Jasanoff (2005) terms the distinctive 'civic epistemologies' of the US and the UK. Significantly for policy makers designing such deliberative committees, each method differs substantially from that explicitly or implicitly endorsed by the institution. Copyright © 2014 Elsevier Ltd. All rights reserved.
-
2013-01-01
Background Involving patients in decision-making is an important part of patient-centred care. Research has found a discrepancy between patients’ desire to be involved and their actual involvement in healthcare decision-making. In Asia, there is a dearth of research in decision-making. Using Malaysia as an exemplar, this study aims to review the current research evidence, practices, policies, and laws with respect to patient engagement in shared decision-making (SDM) in Asia. Methods In this study, we conducted a comprehensive literature review to collect information on healthcare decision-making in Malaysia. We also consulted medical education researchers, key opinion leaders, governmental organisations, and patient support groups to assess the extent to which patient involvement was incorporated into the medical curriculum, healthcare policies, and legislation. Results There are very few studies on patient involvement in decision-making in Malaysia. Existing studies showed that doctors were aware of informed consent, but few practised SDM. There was limited teaching of SDM in undergraduate and postgraduate curricula and a lack of accurate and accessible health information for patients. In addition, peer support groups and 'expert patient’ programmes were also lacking. Professional medical bodies endorsed patient involvement in decision-making, but there was no definitive implementation plan. Conclusion In summary, there appears to be little training or research on SDM in Malaysia. More research needs to be done in this area, including baseline information on the preferred and actual decision-making roles. The authors have provided a set of recommendations on how SDM can be effectively implemented in Malaysia. PMID:24119237
-
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.
-
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…
-
A game-theoretical approach to multimedia social networks security.
Liu, Enqiang; Liu, Zengliang; Shao, Fei; Zhang, Zhiyong
2014-01-01
The contents access and sharing in multimedia social networks (MSNs) mainly rely on access control models and mechanisms. Simple adoptions of security policies in the traditional access control model cannot effectively establish a trust relationship among parties. This paper proposed a novel two-party trust architecture (TPTA) to apply in a generic MSN scenario. According to the architecture, security policies are adopted through game-theoretic analyses and decisions. Based on formalized utilities of security policies and security rules, the choice of security policies in content access is described as a game between the content provider and the content requester. By the game method for the combination of security policies utility and its influences on each party's benefits, the Nash equilibrium is achieved, that is, an optimal and stable combination of security policies, to establish and enhance trust among stakeholders.
-
A Game-Theoretical Approach to Multimedia Social Networks Security
Liu, Enqiang; Liu, Zengliang; Shao, Fei; Zhang, Zhiyong
2014-01-01
The contents access and sharing in multimedia social networks (MSNs) mainly rely on access control models and mechanisms. Simple adoptions of security policies in the traditional access control model cannot effectively establish a trust relationship among parties. This paper proposed a novel two-party trust architecture (TPTA) to apply in a generic MSN scenario. According to the architecture, security policies are adopted through game-theoretic analyses and decisions. Based on formalized utilities of security policies and security rules, the choice of security policies in content access is described as a game between the content provider and the content requester. By the game method for the combination of security policies utility and its influences on each party's benefits, the Nash equilibrium is achieved, that is, an optimal and stable combination of security policies, to establish and enhance trust among stakeholders. PMID:24977226
-
[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.
-
DOE Office of Scientific and Technical Information (OSTI.GOV)
Os, Herman W.A. van, E-mail: h.w.a.van.os@rug.nl; Herber, Rien, E-mail: rien.herber@rug.nl; Scholtens, Bert, E-mail: l.j.r.scholtens@rug.nl
We investigate how the decision support system ‘Modular Evaluation Method Subsurface Activities’ (MEMSA) can help facilitate an informed decision-making process for permit applications of subsurface activities. To this end, we analyze the extent the MEMSA approach allows for a dialogue between stakeholders in a transparent manner. We use the exploration permit for the underground gas storage facility at the Pieterburen salt dome (Netherlands) as a case study. The results suggest that the MEMSA approach is flexible enough to adjust to changing conditions. Furthermore, MEMSA provides a novel way for identifying structural problems and possible solutions in permit decision-making processes formore » subsurface activities, on the basis of the sensitivity analysis of intermediate rankings. We suggest that the planned size of an activity should already be specified in the exploration phase, because this would allow for a more efficient use of the subsurface as a whole. We conclude that the host community should be involved to a greater extent and in an early phase of the permit decision-making process, for example, already during the initial analysis of the project area of a subsurface activity. We suggest that strategic national policy goals are to be re-evaluated on a regular basis, in the form of a strategic vision for the subsurface, to account for timing discrepancies between the realization of activities and policy deadlines, because this discrepancy can have a large impact on the necessity and therefore acceptance of a subsurface activity.« less
-
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)
-
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.
-
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.
-
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.
-
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.
-
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.
-
Cancer survival: an overview of measures, uses, and interpretation.
Mariotto, Angela B; Noone, Anne-Michelle; Howlader, Nadia; Cho, Hyunsoon; Keel, Gretchen E; Garshell, Jessica; Woloshin, Steven; Schwartz, Lisa M
2014-11-01
Survival statistics are of great interest to patients, clinicians, researchers, and policy makers. Although seemingly simple, survival can be confusing: there are many different survival measures with a plethora of names and statistical methods developed to answer different questions. This paper aims to describe and disseminate different survival measures and their interpretation in less technical language. In addition, we introduce templates to summarize cancer survival statistic organized by their specific purpose: research and policy versus prognosis and clinical decision making. Published by Oxford University Press 2014.
-
Cancer Survival: An Overview of Measures, Uses, and Interpretation
Noone, Anne-Michelle; Howlader, Nadia; Cho, Hyunsoon; Keel, Gretchen E.; Garshell, Jessica; Woloshin, Steven; Schwartz, Lisa M.
2014-01-01
Survival statistics are of great interest to patients, clinicians, researchers, and policy makers. Although seemingly simple, survival can be confusing: there are many different survival measures with a plethora of names and statistical methods developed to answer different questions. This paper aims to describe and disseminate different survival measures and their interpretation in less technical language. In addition, we introduce templates to summarize cancer survival statistic organized by their specific purpose: research and policy versus prognosis and clinical decision making. PMID:25417231
-
Equity trade-offs in conservation decision making.
Law, Elizabeth A; Bennett, Nathan J; Ives, Christopher D; Friedman, Rachel; Davis, Katrina J; Archibald, Carla; Wilson, Kerrie A
2018-04-01
Conservation decisions increasingly involve multiple environmental and social objectives, which result in complex decision contexts with high potential for trade-offs. Improving social equity is one such objective that is often considered an enabler of successful outcomes and a virtuous ideal in itself. Despite its idealized importance in conservation policy, social equity is often highly simplified or ill-defined and is applied uncritically. What constitutes equitable outcomes and processes is highly normative and subject to ethical deliberation. Different ethical frameworks may lead to different conceptions of equity through alternative perspectives of what is good or right. This can lead to different and potentially conflicting equity objectives in practice. We promote a more transparent, nuanced, and pluralistic conceptualization of equity in conservation decision making that particularly recognizes where multidimensional equity objectives may conflict. To help identify and mitigate ethical conflicts and avoid cases of good intentions producing bad outcomes, we encourage a more analytical incorporation of equity into conservation decision making particularly during mechanistic integration of equity objectives. We recommend that in conservation planning motivations and objectives for equity be made explicit within the problem context, methods used to incorporate equity objectives be applied with respect to stated objectives, and, should objectives dictate, evaluation of equity outcomes and adaptation of strategies be employed during policy implementation. © 2017 Society for Conservation Biology.
-
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.
-
Bryan, Stirling; Williams, Iestyn; McIver, Shirley
2007-02-01
Resource scarcity is the raison d'être for the discipline of economics. Thus, the primary purpose of economic analysis is to help decision-makers when addressing problems arising due to the scarcity problem. The research reported here was concerned with how cost-effectiveness information is used by the National Institute for Health & Clinical Excellence (NICE) in national technology coverage decisions in the UK, and how its impact might be increased. The research followed a qualitative case study methodology with semi-structured interviews, supported by observation and analysis of secondary sources. Our research highlights that the technology appraisal function of NICE represents an important progression for the UK health economics community: new cost-effectiveness work is commissioned for each technology and that work directly informs national health policy. However, accountability in policy decisions necessitates that the information upon which decisions are based (including cost-effectiveness analysis, CEA) is accessible. This was found to be a serious problem and represents one of the main ongoing challenges. Other issues highlighted include perceived weaknesses in analysis methods and the poor alignment between the health maximisation objectives assumed in economic analyses and the range of other objectives facing decision-makers in reality. Copyright (c) 2006 John Wiley & Sons, Ltd.
-
Development of a program theory for shared decision-making: a realist review protocol.
Groot, Gary; Waldron, Tamara; Carr, Tracey; McMullen, Linda; Bandura, Lori-Ann; Neufeld, Shelley-May; Duncan, Vicky
2017-06-17
The practicality of applying evidence to healthcare systems with the aim of implementing change is an ongoing challenge for practitioners, policy makers, and academics. Shared decision- making (SDM), a method of medical decision-making that allows a balanced relationship between patients, physicians, and other key players in the medical decision process, is purported to improve patient and system outcomes. Despite the oft-mentioned benefits, there are gaps in the current literature between theory and implementation that would benefit from a realist approach given the value of this methodology to analyze complex interventions. In this protocol, we outline a study that will explore: "In which situations, how, why, and for whom does SDM between patients and health care providers contribute to improved decision making?" A seven step iterative process will be described including preliminary theory development, establishment of a search strategy, selection and appraisal of literature, data extraction, analysis and synthesis of extracted results from literature, and formation of a revised program theory with the input of patients, physicians, nurse navigators, and policy makers from a stakeholder session. The goal of the realist review will be to identify and refine a program theory for SDM through the identification of mechanisms which shape the characteristics of when, how, and why SDM will, and will not, work. PROSPERO CRD42017062609.
-
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
-
NASA Astrophysics Data System (ADS)
Suo, M. Q.; Li, Y. P.; Huang, G. H.
2011-09-01
In this study, an inventory-theory-based interval-parameter two-stage stochastic programming (IB-ITSP) model is proposed through integrating inventory theory into an interval-parameter two-stage stochastic optimization framework. This method can not only address system uncertainties with complex presentation but also reflect transferring batch (the transferring quantity at once) and period (the corresponding cycle time) in decision making problems. A case of water allocation problems in water resources management planning is studied to demonstrate the applicability of this method. Under different flow levels, different transferring measures are generated by this method when the promised water cannot be met. Moreover, interval solutions associated with different transferring costs also have been provided. They can be used for generating decision alternatives and thus help water resources managers to identify desired policies. Compared with the ITSP method, the IB-ITSP model can provide a positive measure for solving water shortage problems and afford useful information for decision makers under uncertainty.
-
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.
-
Cepoiu-Martin, Monica; Bischak, Diane P
2018-02-01
The increase in the incidence of dementia in the aging population and the decrease in the availability of informal caregivers put pressure on continuing care systems to care for a growing number of people with disabilities. Policy changes in the continuing care system need to address this shift in the population structure. One of the most effective tools for assessing policies in complex systems is system dynamics. Nevertheless, this method is underused in continuing care capacity planning. A system dynamics model of the Alberta Continuing Care System was developed using stylized data. Sensitivity analyses and policy evaluations were conducted to demonstrate the use of system dynamics modelling in this area of public health planning. We focused our policy exploration on introducing staff/resident benchmarks in both supportive living and long-term care (LTC). The sensitivity analyses presented in this paper help identify leverage points in the system that need to be acknowledged when policy decisions are made. Our policy explorations showed that the deficits of staff increase dramatically when benchmarks are introduced, as expected, but at the end of the simulation period, the difference in deficits of both nurses and health care aids are similar between the 2 scenarios tested. Modifying the benchmarks in LTC only versus in both supportive living and LTC has similar effects on staff deficits in long term, under the assumptions of this particular model. The continuing care system dynamics model can be used to test various policy scenarios, allowing decision makers to visualize the effect of a certain policy choice on different system variables and to compare different policy options. Our exploration illustrates the use of system dynamics models for policy making in complex health care systems. © 2017 John Wiley & Sons, Ltd.
-
Networked Resources, Assessment and Collection Development
ERIC Educational Resources Information Center
Samson, Sue; Derry, Sebastian; Eggleston, Holly
2004-01-01
This project provides a critical evaluation of networked resources as they relate to the library's collection development policy, identifies areas of the curriculum not well represented, establishes a reliable method of assessing usage across all resources, and develops a framework of quantitative data for collection development decision making.
-
An Evaluation of Health Impact Assessments in the United States, 2011–2014
Charbonneau, Diana; Cahill, Carol; Dannenberg, Andrew L.
2015-01-01
Introduction The Center for Community Health and Evaluation conducted a 3-year evaluation to assess results of health impact assessments (HIAs) in the United States and to identify elements critical for their success. Methods The study used a retrospective, mixed-methods comparative case study design, including a literature review; site visits; interviews with investigators, stakeholders, and decision makers for 23 HIAs in 16 states that were completed from 2005 through 2013; and a Web-based survey of 144 HIA practitioners. Results Analysis of interviews with decision makers suggests HIAs can directly influence decisions in nonhealth-related sectors. HIAs may also influence changes beyond the decision target, build consensus and relationships among decision makers and their constituents, and give community members a stronger voice in decisions that affect them. Factors that may increase HIA success include care in choosing a project or policy to be examined’ selecting an appropriate team to conduct the HIA; engaging stakeholders and decision makers throughout the process; crafting clear, actionable recommendations; delivering timely, compelling messages to appropriate audiences; and using multiple dissemination methods. Challenges to successful HIAs include underestimating the level of effort required, political changes during the conduct of the HIA, accessing relevant local data, engaging vulnerable populations, and following up on recommendations. Conclusion Results of this study suggest HIAs are a useful tool to promote public health because they can influence decisions in nonhealth-related sectors, strengthen cross-sector collaborations, and raise awareness of health issues among decision makers. PMID:25695261
-
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
-
2013-01-01
Background Confidential product listing agreements (PLAs) negotiated between pharmaceutical manufacturers and individual health care payers may contribute to unwanted price disparities, high administrative costs, and unequal bargaining power within and across jurisdictions. In the context of Canada’s decentralized health system, we aimed to document provincial policy makers’ perceptions about collaborative PLA negotiations. Methods We conducted semi-structured telephone interviews with a senior policy maker from nine of the ten Canadian provinces. We conducted a thematic analysis of interview transcripts to identify benefits, drawbacks, and barriers to routine collaboration on PLA negotiations. Results Canadian policy makers expressed support for joint negotiations of PLAs in principle, citing benefits of increased bargaining power and reduced inter-jurisdictional inequities in drug prices and formulary listings. However, established policy institutions and the politics of individual jurisdictional authority are formidable barriers to routine PLA collaboration. Achieving commitment to a joint process may be difficult to sustain among heterogeneous and autonomous partners. Conclusions Though collaboration on PLA negotiation is an extension of collaboration on health technology assessment, it is a very significant next step that requires harmonization of the outcomes of decision-making processes. Views of policy makers in Canada suggest that sustaining routine collaborations on PLA negotiations may be difficult unless participating jurisdictions have similar policy institutions, capacities to implement coverage decisions, and local political priorities. PMID:23363626
-
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.
-
Human rights of the mentally ill in Indonesia.
Nurjannah, I; Mills, J; Park, T; Usher, K
2015-06-01
The mentally ill are vulnerable to human rights violations, particularly in Indonesia, where shackling is widespread. The aim of this study was to understand the provision of mental health care in Indonesia, thereby identifying ways to improve care and better support carers. Grounded theory methods were used. Study participants included health professionals, non-health professionals and individuals living with a mental disorder who were well at the time (n = 49). Data were collected through interviews conducted in 2011 and 2012. The core category of this grounded theory is 'connecting care' a term coined by the authors to describe a model of care that involves health professionals and non-health professionals, such as family members. Four main factors influence care-providers' decision-making: competence, willingness, available resources and compliance with institutional policy. Health professionals are influenced most strongly by institutional policy when deciding whether to accept or shift responsibility to provide care. Non-health professionals base their decisions largely on personal circumstances. Jointly-made decisions can be matched or unmatched. Unmatched decisions can result in forced provision of care, increasing risks of human rights violations. Generalization of this grounded theory is difficult as the research was conducted in two provinces of Indonesia. Institutional policy was important in the process of connecting care for the mentally ill in Indonesia and needs to be underpinned by legislation to protect human rights. Strengthening mental health legislation in Indonesia will allow nurses to connect care more effectively. © 2014 International Council of Nurses.
-
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
-
Behavioural modelling of irrigation decision making under water scarcity
NASA Astrophysics Data System (ADS)
Foster, T.; Brozovic, N.; Butler, A. P.
2013-12-01
Providing effective policy solutions to aquifer depletion caused by abstraction for irrigation is a key challenge for socio-hydrology. However, most crop production functions used in hydrological models do not capture the intraseasonal nature of irrigation planning, or the importance of well yield in land and water use decisions. Here we develop a method for determining stochastic intraseasonal water use that is based on observed farmer behaviour but is also theoretically consistent with dynamically optimal decision making. We use the model to (i) analyse the joint land and water use decision by farmers; (ii) to assess changes in behaviour and production risk in response to water scarcity; and (iii) to understand the limits of applicability of current methods in policy design. We develop a biophysical model of water-limited crop yield building on the AquaCrop model. The model is calibrated and applied to case studies of irrigated corn production in Nebraska and Texas. We run the model iteratively, using long-term climate records, to define two formulations of the crop-water production function: (i) the aggregate relationship between total seasonal irrigation and yield (typical of current approaches); and (ii) the stochastic response of yield and total seasonal irrigation to the choice of an intraseasonal soil moisture target and irrigated area. Irrigated area (the extensive margin decision) and per-area irrigation intensity (the intensive margin decision) are then calculated for different seasonal water restrictions (corresponding to regulatory policies) and well yield constraints on intraseasonal abstraction rates (corresponding to aquifer system limits). Profit- and utility-maximising decisions are determined assuming risk neutrality and varying degrees of risk aversion, respectively. Our results demonstrate that the formulation of the production function has a significant impact on the response to water scarcity. For low well yields, which are the major concern for farmers in areas of aquifer depletion or recurrent drought, the stochastic model demonstrates that partial-area irrigation is optimal irrespective of the size of water supply restrictions. This effect is not produced by the aggregate model, which cannot account for the variability of the production function with changes in irrigated area that control intraseasonal irrigation application rates. In addition, the aggregate model overstates the willingness of a risk-averse farmer to adjust on the intensive margin in response to water supply restrictions. This is due to the inability of aggregate models to specify correctly the production risk associated with intensive margin adjustments. Consequently, aggregate models give unrealistic estimates of water demand and underestimate the negative impacts on profitability of declining groundwater resources. Reliance on aggregate models will limit the ability of socio-hydrology to guide policy responses to groundwater scarcity. Our stochastic methodology provides a more realistic tool to study the management of groundwater in coupled human-water systems.
-
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.
-
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.
-
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…
-
What lies behind crop decisions?Coming to terms with revealing farmers' preferences
NASA Astrophysics Data System (ADS)
Gomez, C.; Gutierrez, C.; Pulido-Velazquez, M.; López Nicolás, A.
2016-12-01
The paper offers a fully-fledged applied revealed preference methodology to screen and represent farmers' choices as the solution of an optimal program involving trade-offs among the alternative welfare outcomes of crop decisions such as profits, income security and management easiness. The recursive two-stage method is proposed as an alternative to cope with the methodological problems inherent to common practice positive mathematical program methodologies (PMP). Differently from PMP, in the model proposed in this paper, the non-linear costs that are required for both calibration and smooth adjustment are not at odds with the assumptions of linear Leontief technologies and fixed crop prices and input costs. The method frees the model from ad-hoc assumptions about costs and then recovers the potential of economic analysis as a means to understand the rationale behind observed and forecasted farmers' decisions and then to enhance the potential of the model to support policy making in relevant domains such as agricultural policy, water management, risk management and climate change adaptation. After the introduction, where the methodological drawbacks and challenges are set up, section two presents the theoretical model, section three develops its empirical application and presents its implementation to a Spanish irrigation district and finally section four concludes and makes suggestions for further research.
-
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.
-
NASA Astrophysics Data System (ADS)
Alsyouf, Imad
2018-05-01
Reliability and availability of critical systems play an important role in achieving the stated objectives of engineering assets. Preventive replacement time affects the reliability of the components, thus the number of system failures encountered and its downtime expenses. On the other hand, spare parts inventory level is a very critical factor that affects the availability of the system. Usually, the decision maker has many conflicting objectives that should be considered simultaneously for the selection of the optimal maintenance policy. The purpose of this research was to develop a bi-objective model that will be used to determine the preventive replacement time for three maintenance policies (age, block good as new, block bad as old) with consideration of spare parts’ availability. It was suggested to use a weighted comprehensive criterion method with two objectives, i.e. cost and availability. The model was tested with a typical numerical example. The results of the model demonstrated its effectiveness in enabling the decision maker to select the optimal maintenance policy under different scenarios and taking into account preferences with respect to contradicting objectives such as cost and availability.
-
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.
-
Multi-Attribute Consensus Building Tool
ERIC Educational Resources Information Center
Shyyan, Vitaliy; Christensen, Laurene; Thurlow, Martha; Lazarus, Sheryl
2013-01-01
The Multi-Attribute Consensus Building (MACB) method is a quantitative approach for determining a group's opinion about the importance of each item (strategy, decision, recommendation, policy, priority, etc.) on a list (Vanderwood, & Erickson, 1994). This process enables a small or large group of participants to generate and discuss a set…
-
Steps to Take with the Board to Avoid Walking the Plank.
ERIC Educational Resources Information Center
Papallo, William R.
1990-01-01
A veteran superintendent outlines an eight-step method for achieving success, including assessing the situation, avoiding board overload, coping with stress, deemphasizing egoism, learning to live in the gray zone between policy formation and administration, ensuring effective board decisions, identifying prospective board members, and knowing…
-
Review of Education-Focused Health Impact Assessments Conducted in the United States
ERIC Educational Resources Information Center
Gase, Lauren N.; DeFosset, Amelia R.; Gakh, Maxim; Harris, Celia; Weisman, Susan R.; Dannenberg, Andrew L.
2017-01-01
Background: Health impact assessment (HIA) provides a structured process for examining the potential health impacts of proposed policies, plans, programs, and projects. This study systematically reviewed HIAs conducted in the United States on prekindergarten, primary, and secondary education-focused decisions. Methods: Relevant HIA reports were…
-
Toward Evidence-Informed Policy and Practice in Child Welfare
ERIC Educational Resources Information Center
Littell, Julia H.; Shlonsky, Aron
2010-01-01
Drawing on the authors' experience in the international Campbell Collaboration, this essay presents a principled and pragmatic approach to evidence-informed decisions about child welfare. This approach takes into account the growing body of empirical evidence on the reliability and validity of various methods of research synthesis. It also…
-
Rethinking Traditional Methods of Survey Validation
ERIC Educational Resources Information Center
Maul, Andrew
2017-01-01
It is commonly believed that self-report, survey-based instruments can be used to measure a wide range of psychological attributes, such as self-control, growth mindsets, and grit. Increasingly, such instruments are being used not only for basic research but also for supporting decisions regarding educational policy and accountability. The…
-
Problem Seeking. New Directions in Architectural Programming.
ERIC Educational Resources Information Center
Pena, William M.; Focke, John W.
The rationale, principles, and methods of pre-design architectural programing are explained for those responsible for overall policy decision-making in the area of facility planning. This programing process provides an orderly framework that aids the architect in defining a client's total problem. A general background is given on data collection,…
-
Progress in Energy Storage Technologies: Models and Methods for Policy Analysis
NASA Astrophysics Data System (ADS)
Matteson, Schuyler W.
Climate change and other sustainability challenges have led to the development of new technologies that increase energy efficiency and reduce the utilization of finite resources. To promote the adoption of technologies with social benefits, governments often enact policies that provide financial incentives at the point of purchase. In their current form, these subsidies have the potential to increase the diffusion of emerging technologies; however, accounting for technological progress can improve program success while decreasing net public investment. This research develops novel methods using experience curves for the development of more efficient subsidy policies. By providing case studies in the field of automotive energy storage technologies, this dissertation also applies the methods to show the impacts of incorporating technological progress into energy policies. Specific findings include learning-dependent tapering subsidies for electric vehicles based on the lithium-ion battery experience curve, the effects of residual learning rates in lead-acid batteries on emerging technology cost competitiveness, and a cascading diffusion assessment of plug-in hybrid electric vehicle subsidy programs. Notably, the results show that considering learning rates in policy development can save billions of dollars in public funds, while also lending insight into the decision of whether or not to subsidize a given technology.
-
Wainger, Lisa; Mazzotta, Marisa
2011-10-01
Increasingly government agencies are seeking to quantify the outcomes of proposed policy options in terms of ecosystem service benefits, yet conflicting definitions and ad hoc approaches to measuring ecosystem services have created confusion regarding how to rigorously link ecological change to changes in human well-being. Here, we describe a step-by-step framework for producing ecological models and metrics that can effectively serve an economic-benefits assessment of a proposed change in policy or management. A focus of the framework is developing comparable units of ecosystem goods and services to support decision-making, even if outcomes cannot be monetized. Because the challenges to translating ecological changes to outcomes appropriate for economic analyses are many, we discuss examples that demonstrate practical methods and approaches to overcoming data limitations. The numerous difficult decisions that government agencies must make to fairly use and allocate natural resources provides ample opportunity for interdisciplinary teams of natural and social scientists to improve methods for quantifying changes in ecosystem services and their effects on human well-being. This framework is offered with the intent of promoting the success of such teams as they support managers in evaluating the equivalency of ecosystem service offsets and trades, establishing restoration and preservation priorities, and more generally, in developing environmental policy that effectively balances multiple perspectives.
-
Methodological development for selection of significant predictors explaining fatal road accidents.
Dadashova, Bahar; Arenas-Ramírez, Blanca; Mira-McWilliams, José; Aparicio-Izquierdo, Francisco
2016-05-01
Identification of the most relevant factors for explaining road accident occurrence is an important issue in road safety research, particularly for future decision-making processes in transport policy. However model selection for this particular purpose is still an ongoing research. In this paper we propose a methodological development for model selection which addresses both explanatory variable and adequate model selection issues. A variable selection procedure, TIM (two-input model) method is carried out by combining neural network design and statistical approaches. The error structure of the fitted model is assumed to follow an autoregressive process. All models are estimated using Markov Chain Monte Carlo method where the model parameters are assigned non-informative prior distributions. The final model is built using the results of the variable selection. For the application of the proposed methodology the number of fatal accidents in Spain during 2000-2011 was used. This indicator has experienced the maximum reduction internationally during the indicated years thus making it an interesting time series from a road safety policy perspective. Hence the identification of the variables that have affected this reduction is of particular interest for future decision making. The results of the variable selection process show that the selected variables are main subjects of road safety policy measures. Published by Elsevier Ltd.
-
Data disclosure for chemical evaluations.
Lutter, Randall; Barrow, Craig; Borgert, Christopher J; Conrad, James W; Edwards, Debra; Felsot, Allan
2013-02-01
Public disclosure of scientific data used by the government to make regulatory decisions for chemicals is a practical step that can enhance public confidence in the scientific basis of such decisions. We reviewed the U.S. Environmental Protection Agency's (EPA) current practices regarding disclosure of data underlying regulatory and policy decisions involving chemicals, including pesticides. We sought to identify additional opportunities for the U.S. EPA to disclose data and, more generally, to promote broad access to data it uses, regardless of origin. We recommend that when the U.S. EPA proposes a regulatory determination or other policy decision that relies on scientific research, it should provide sufficient underlying raw data and information about methods to enable reanalysis and attempts to independently reproduce the work, including the sensitivity of results to alternative analyses. This recommendation applies regardless of who conducted the work. If the U.S. EPA is unable to provide such transparency, it should state whether it had full access to all underlying data and methods. A timely version of submitted data cleared of information about confidential business matters and personal privacy should fully meet the standards of transparency described below, including public access sufficient for others to undertake an independent reanalysis. Reliable chemical evaluation is essential for protecting public health and the environment and for ensuring availability of useful chemicals under appropriate conditions. Permitting qualified researchers to endeavor to independently reproduce the analyses used in regulatory determinations of pesticides and other chemicals would increase confidence in the scientific basis of such determinations.
-
Owen, Rhiannon K; Cooper, Nicola J; Quinn, Terence J; Lees, Rosalind; Sutton, Alex J
2018-07-01
Network meta-analyses (NMA) have extensively been used to compare the effectiveness of multiple interventions for health care policy and decision-making. However, methods for evaluating the performance of multiple diagnostic tests are less established. In a decision-making context, we are often interested in comparing and ranking the performance of multiple diagnostic tests, at varying levels of test thresholds, in one simultaneous analysis. Motivated by an example of cognitive impairment diagnosis following stroke, we synthesized data from 13 studies assessing the efficiency of two diagnostic tests: Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA), at two test thresholds: MMSE <25/30 and <27/30, and MoCA <22/30 and <26/30. Using Markov chain Monte Carlo (MCMC) methods, we fitted a bivariate network meta-analysis model incorporating constraints on increasing test threshold, and accounting for the correlations between multiple test accuracy measures from the same study. We developed and successfully fitted a model comparing multiple tests/threshold combinations while imposing threshold constraints. Using this model, we found that MoCA at threshold <26/30 appeared to have the best true positive rate, whereas MMSE at threshold <25/30 appeared to have the best true negative rate. The combined analysis of multiple tests at multiple thresholds allowed for more rigorous comparisons between competing diagnostics tests for decision making. Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.
-
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.
-
Giacomini, Mita
2005-01-01
Health plans often deliberate covering technologies with challenging purposes, effects, or costs. They must integrate quantitative evidence (e.g., how well a technology works) with qualitative, normative assessments (e.g., whether it works well enough for a worthwhile purpose). Arguments from analogy and precedent help integrate these criteria and establish standards for their policy application. Examples of arguments are described for three technologies (ICSI, genetic tests, and Viagra). Drawing lessons from law, ethics, philosophy, and the social sciences, a framework is developed for case-based evaluation of new technologies. The decision-making cycle includes (1) taking stock of past decisions and formulating precedents, (2) deciding new cases, and (3) assimilating decisions into the case history and evaluation framework. Each stage requires distinctive decision maker roles, information, and methods. PMID:15960769
-
The Cleveland-Cuyahoga County Food Policy Coalition: "we have evolved".
Walsh, Colleen C; Taggart, Morgan; Freedman, Darcy A; Trapl, Erika S; Borawski, Elaine A
2015-06-04
Several pieces of legislation passed in Cleveland, Ohio, from 2007 to 2011, focused on improving the city's food environment through urban agriculture initiatives. We used qualitative, case study methods, including interviews with 7 key informants, to examine the policy development process and investigate the role of the Cleveland-Cuyahoga County Food Policy Coalition in developing and implementing 4 pieces of legislation. In this article, we focus on 2 pieces of legislation: zoning designation of an urban garden and allowance of small farm animals and bees on residential property. Five key themes emerged: impetus for policy came from community needs; education and raising awareness helped mitigate barriers; a cultural shift took place among policy makers; social connections and individual champions were needed; and concerns over food access and health influenced policy decisions. Legislative actions are important tools to influence the nutrition environment, as long as they are based on local needs and context.
-
What Factors Do Allied Health Take Into Account When Making Resource Allocation Decisions?
Lane, Haylee; Sturgess, Tamica; Philip, Kathleen; Markham, Donna; Martin, Jennifer; Walsh, Jill; Hubbard, Wendy; Haines, Terry
2018-01-01
Background: Allied health comprises multiple professional groups including dietetics, medical radiation practitioners, occupational therapists, optometrists and psychologists. Different to medical and nursing, Allied health are often organized in discipline specific departments and allocate budgets within these to provide services to a range of clinical areas. Little is known of how managers of allied health go about allocating these resources, the factors they consider when making these decisions, and the sources of information they rely upon. The purpose of this study was to identify the key factors that allied health consider when making resource allocation decisions and the sources of information they are based upon. Methods: Four forums were conducted each consisting of case studies, a large group discussion and two hypothetical scenarios to elicit data. A thematic content analysis commenced during post-forum discussions of key factors by forum facilitators. These factors were then presented to an expert working party for further discussion and refinement. Transcripts were generated of all data recordings and a detailed thematic analysis was undertaken by one author to ensure coded data matched the initial thematic analysis. Results: Twelve factors affecting the decision-making of allied health managers and clinicians were identified. One of these factors was disendorsed by the expert working party. The 11 remaining factors can be considered to be key decision-making principles that should be consistently applied to resource allocation. These principles were clustered into three overarching themes of readiness, impact and appropriateness. Conclusion: Understanding these principles now means further research can be completed to more effectively integrate research evidence into health policy and service delivery, create partnerships among policy-makers, managers, service providers and researchers, and to provide support to answer difficult questions that policy-makers, managers and service providers face. PMID:29764105
-
Senior housing in Sweden: a new concept for aging in place.
Henning, Cecilia; Ahnby, Ulla; Osterstrom, Stefan
2009-01-01
Demographic projections of elder care in Sweden necessitate new and creative approaches to accommodate this rapidly growing population. This article describes a unique aging-in-place care and housing policy initiative for the elderly. Using a case example in Eksjo, Sweden, the authors used a future workshop (FW) method to help seniors plan their future housing in the community. The FW is based on a collective democratic process involving full participation, open communication, organizational development, and leadership. The process steps of the three-stage FW method are described. Results indicated that empowerment, collaboration, autonomy, social education, and decision making can be achieved in a community-network-based policy model. This demonstrates the devolution of national policy and how, at the grass roots level, local participation and public accountability can take root. Devolution created an opportunity for creatively addressing local needs.
-
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
-
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.
-
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 (...
-
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.
-
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…
-
2012-01-01
Objectives Limited work has been done to promote knowledge translation (KT) in the Eastern Mediterranean Region (EMR). The objectives of this study are to: 1.assess the climate for evidence use in policy; 2.explore views and practices about current processes and weaknesses of health policymaking; 3.identify priorities including short-term requirements for policy briefs; and 4.identify country-specific requirements for establishing KT platforms. Methods Senior policymakers, stakeholders and researchers from Algeria, Bahrain, Egypt, Iran, Jordan, Lebanon, Oman, Sudan, Syria, Tunisia, and Yemen participated in this study. Questionnaires were used to assess the climate for use of evidence and identify windows of opportunity and requirements for policy briefs and for establishing KT platforms. Current processes and weaknesses of policymaking were appraised using case study scenarios. Closed-ended questions were analyzed descriptively. Qualitative data was analyzed using thematic analysis. Results KT activities were not frequently undertaken by policymakers and researchers in EMR countries, research evidence about high priority policy issues was rarely made available, and interaction between policymakers and researchers was limited, and policymakers rarely identified or created places for utilizing research evidence in decision-making processes. Findings emphasized the complexity of policymaking. Donors, political regimes, economic goals and outdated laws were identified as key drivers. Lack of policymakers’ abilities to think strategically, constant need to make quick decisions, limited financial resources, and lack of competent and trained human resources were suggested as main weaknesses. Conclusion Despite the complexity of policymaking processes in countries from this region, the absence of a structured process for decision making, and the limited engagement of policymakers and researchers in KT activities, there are windows of opportunity for moving towards more evidence informed policymaking. PMID:22559007
-
The Use of Research Evidence in Public Health Decision Making Processes: Systematic Review
Orton, Lois; Lloyd-Williams, Ffion; Taylor-Robinson, David; O'Flaherty, Martin; Capewell, Simon
2011-01-01
Background The use of research evidence to underpin public health policy is strongly promoted. However, its implementation has not been straightforward. The objectives of this systematic review were to synthesise empirical evidence on the use of research evidence by public health decision makers in settings with universal health care systems. Methods To locate eligible studies, 13 bibliographic databases were screened, organisational websites were scanned, key informants were contacted and bibliographies of included studies were scrutinised. Two reviewers independently assessed studies for inclusion, extracted data and assessed methodological quality. Data were synthesised as a narrative review. Findings 18 studies were included: 15 qualitative studies, and three surveys. Their methodological quality was mixed. They were set in a range of country and decision making settings. Study participants included 1063 public health decision makers, 72 researchers, and 174 with overlapping roles. Decision making processes varied widely between settings, and were viewed differently by key players. A range of research evidence was accessed. However, there was no reliable evidence on the extent of its use. Its impact was often indirect, competing with other influences. Barriers to the use of research evidence included: decision makers' perceptions of research evidence; the gulf between researchers and decision makers; the culture of decision making; competing influences on decision making; and practical constraints. Suggested (but largely untested) ways of overcoming these barriers included: research targeted at the needs of decision makers; research clearly highlighting key messages; and capacity building. There was little evidence on the role of research evidence in decision making to reduce inequalities. Conclusions To more effectively implement research informed public health policy, action is required by decision makers and researchers to address the barriers identified in this systematic review. There is an urgent need for evidence to support the use of research evidence to inform public health decision making to reduce inequalities. PMID:21818262
-
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.
-
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.
-
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.
-
The use of economic evaluations in NHS decision-making: a review and empirical investigation.
Williams, I; McIver, S; Moore, D; Bryan, S
2008-04-01
To determine the extent to which health economic information is used in health policy decision-making in the UK, and to consider factors associated with the utilisation of such research findings. Major electronic databases were searched up to 2004. A systematic review of existing reviews on the use of economic evaluations in policy decision-making, of health and non-health literature on the use of economic analyses in policy making and of studies identifying actual or perceived barriers to the use of economic evaluations was undertaken. Five UK case studies of committees from four local and one national organisation [the Technology Appraisal Committee of the National Institute for Health and Clinical Excellence (NICE)] were conducted. Local case studies were augmented by documentary analysis of new technology request forms and by workshop discussions with members of local decision-making committees. The systematic review demonstrated few previous systematic reviews of evidence in the area. At the local level in the NHS, it was an exception for economic evaluation to inform technology coverage decisions. Local decision-making focused primarily on evidence of clinical benefit and cost implications. And whilst information on implementation was frequently requested, cost-effectiveness information was rarely accessed. A number of features of the decision-making environment appeared to militate against emphasis on cost-effectiveness analysis. Constraints on the capacity to generate, access and interpret information, led to a minor role for cost-effectiveness analysis in the local decision-making process. At the national policy level in the UK, economic analysis was found to be highly integrated into NICE's technology appraisal programme. Attitudes to economic evaluation varied between committee members with some significant disagreement and extraneous factors diluted the health economics analysis available to the committee. There was strong evidence of an ordinal approach to consideration of clinical effectiveness and cost-effectiveness information. Some interviewees considered the key role of a cost-effectiveness analysis to be the provision of a framework for decision-making. Interviewees indicated that NICE makes use of some form of cost-effectiveness threshold but expressed concern about its basis and its use in decision-making. Frustrations with the appraisal process were expressed in terms of the scope of the policy question being addressed. Committee members raised concerns about lack of understanding of the economic analysis but felt that a single measure of benefit, e.g. the quality-adjusted life-year, was useful in allowing comparison of disparate health interventions and in providing a benchmark for later decisions. The importance of ensuring that committee members understood the limitations of the analysis was highlighted for model-based analyses. This study suggests that research is needed into structures, processes and mechanisms by which technology coverage decisions can and should be made in healthcare. Further development of 'resource centres' may be useful to provide independent published analyses in order to support local decision-makers. Improved methods of economic analyses and of their presentation, which take account of the concerns of their users, are needed. Finally, the findings point to the need for further assessment of the feasibility and value of a formal process of clarification of the objectives that we seek from investments in healthcare.
-
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.
-
A Hybrid Approach on Tourism Demand Forecasting
NASA Astrophysics Data System (ADS)
Nor, M. E.; Nurul, A. I. M.; Rusiman, M. S.
2018-04-01
Tourism has become one of the important industries that contributes to the country’s economy. Tourism demand forecasting gives valuable information to policy makers, decision makers and organizations related to tourism industry in order to make crucial decision and planning. However, it is challenging to produce an accurate forecast since economic data such as the tourism data is affected by social, economic and environmental factors. In this study, an equally-weighted hybrid method, which is a combination of Box-Jenkins and Artificial Neural Networks, was applied to forecast Malaysia’s tourism demand. The forecasting performance was assessed by taking the each individual method as a benchmark. The results showed that this hybrid approach outperformed the other two models
-
Mapping social-ecological vulnerability to inform local decision making.
Thiault, Lauric; Marshall, Paul; Gelcich, Stefan; Collin, Antoine; Chlous, Frédérique; Claudet, Joachim
2018-04-01
An overarching challenge of natural resource management and biodiversity conservation is that relationships between people and nature are difficult to integrate into tools that can effectively guide decision making. Social-ecological vulnerability offers a valuable framework for identifying and understanding important social-ecological linkages, and the implications of dependencies and other feedback loops in the system. Unfortunately, its implementation at local scales has hitherto been limited due at least in part to the lack of operational tools for spatial representation of social-ecological vulnerability. We developed a method to map social-ecological vulnerability based on information on human-nature dependencies and ecosystem services at local scales. We applied our method to the small-scale fishery of Moorea, French Polynesia, by combining spatially explicit indicators of exposure, sensitivity, and adaptive capacity of both the resource (i.e., vulnerability of reef fish assemblages to fishing) and resource users (i.e., vulnerability of fishing households to the loss of fishing opportunity). Our results revealed that both social and ecological vulnerabilities varied considerably through space and highlighted areas where sources of vulnerability were high for both social and ecological subsystems (i.e., social-ecological vulnerability hotspots) and thus of high priority for management intervention. Our approach can be used to inform decisions about where biodiversity conservation strategies are likely to be more effective and how social impacts from policy decisions can be minimized. It provides a new perspective on human-nature linkages that can help guide sustainability management at local scales; delivers insights distinct from those provided by emphasis on a single vulnerability component (e.g., exposure); and demonstrates the feasibility and value of operationalizing the social-ecological vulnerability framework for policy, planning, and participatory management decisions. © 2017 Society for Conservation Biology.
-
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
-
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.
-
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.
-
Extending the Boundaries of Debate Theory: A Value-Bounded Policy Decision Making Paradigm.
ERIC Educational Resources Information Center
Thomas, David A.; Corsi, Jerome R.
The purpose of this paper is to propose a new, synthetic paradigm for debate analysis and decision making that features the policy systems approach within a context of values as boundaries for decision. As background for the proposed theory, the paper (1) summarizes the notions of paradigm formation and shifts initially presented by T. Kuhn; (2)…
-
Public health research: lost in translation or speaking the wrong language?
Kansagra, Susan M; Farley, Thomas A
2011-12-01
Public health leaders, like physicians, need to make decisions that impact health based on strong evidence. To generate useful evidence for public health leaders, research must focus on interventions that have potential to impact population-level health. Often policy and environmental changes are the interventions with the greatest potential impact on population health, but studying these is difficult because of limitations in the methods typically used and emphasized in health research. To create useful evidence for policy and environmental interventions, other research methods are needed, including observational studies, the use of surveillance data for evaluation, and predictive mathematical modeling. More emphasis is needed on these types of study designs by researchers, funding agencies, and scientific journals.
-
Reither, Eric N; Olshansky, S Jay; Yang, Yang
2011-08-01
Traditional methods of projecting population health statistics, such as estimating future death rates, can give inaccurate results and lead to inferior or even poor policy decisions. A new "three-dimensional" method of forecasting vital health statistics is more accurate because it takes into account the delayed effects of the health risks being accumulated by today's younger generations. Applying this forecasting technique to the US obesity epidemic suggests that future death rates and health care expenditures could be far worse than currently anticipated. We suggest that public policy makers adopt this more robust forecasting tool and redouble efforts to develop and implement effective obesity-related prevention programs and interventions.
-
IPPF re-affirms its policy on sterilization: a free, informed and unpressured choice.
1977-01-01
The IPPF has re-affirmed its policy on sterilization that individuals have the right to voluntarily choose a contraceptive method. A sterilization acceptor should understand all the implications and that the procedure should be considered irreversible, although medical techniques should be used to give the greatest chance of reversibility. An individual should know of alternative contraceptive methods and the risks and benefits involved with each. Incentives for family planning programs should ensure that benefits be in addition to the benefits and services which are entitled to everyone; likewise, any disincentives should not conflict with basic human rights. Family planning education should promote informed decisions on contraceptive use including sterilization procedures.
-
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.
-
Kernel-based least squares policy iteration for reinforcement learning.
Xu, Xin; Hu, Dewen; Lu, Xicheng
2007-07-01
In this paper, we present a kernel-based least squares policy iteration (KLSPI) algorithm for reinforcement learning (RL) in large or continuous state spaces, which can be used to realize adaptive feedback control of uncertain dynamic systems. By using KLSPI, near-optimal control policies can be obtained without much a priori knowledge on dynamic models of control plants. In KLSPI, Mercer kernels are used in the policy evaluation of a policy iteration process, where a new kernel-based least squares temporal-difference algorithm called KLSTD-Q is proposed for efficient policy evaluation. To keep the sparsity and improve the generalization ability of KLSTD-Q solutions, a kernel sparsification procedure based on approximate linear dependency (ALD) is performed. Compared to the previous works on approximate RL methods, KLSPI makes two progresses to eliminate the main difficulties of existing results. One is the better convergence and (near) optimality guarantee by using the KLSTD-Q algorithm for policy evaluation with high precision. The other is the automatic feature selection using the ALD-based kernel sparsification. Therefore, the KLSPI algorithm provides a general RL method with generalization performance and convergence guarantee for large-scale Markov decision problems (MDPs). Experimental results on a typical RL task for a stochastic chain problem demonstrate that KLSPI can consistently achieve better learning efficiency and policy quality than the previous least squares policy iteration (LSPI) algorithm. Furthermore, the KLSPI method was also evaluated on two nonlinear feedback control problems, including a ship heading control problem and the swing up control of a double-link underactuated pendulum called acrobot. Simulation results illustrate that the proposed method can optimize controller performance using little a priori information of uncertain dynamic systems. It is also demonstrated that KLSPI can be applied to online learning control by incorporating an initial controller to ensure online performance.
-
Murphy, Kelly; Fafard, Patrick
2012-08-01
Knowledge translation (KT) is a growing movement in clinical and health services research, aimed to help make research more relevant and to move research into practice and policy. This paper examines the conventional model of policy change presented in KT and assesses its applicability for increasing the impact of urban health research on urban health policy. In general, KT conceptualizes research utilization in terms of the technical implementation of scientific findings, on the part of individual decision-makers who can be "targeted" for a KT intervention, in a context that is absent of political interests. However, complex urban health problems and interventions infrequently resemble this single decision, single decision-maker model posited by KT. In order to clarify the conditions under which urban health research is more likely or not to have an influence on public policy development, we propose to supplement the conventional model with three concepts drawn from the social science: policy stages, policy networks, and a discourse analysis approach for theorizing power in policy-making.
-
Global Grid Telemedicine System: Expert Consult Manager
2000-10-01
Department of the Army position, policy or decision unless so designated by other documentation. DTIC QUALITY iw^^rxi 20010122 014 REPORT DOCUMENTATION...processes and personnel for collecting, processing, storing, disseminating and managing information on demand to warfighters, policy makers, and...to be responsive to and incorporate current and future policy decisions. (7) Be continuously aware, along with Network and Bandwidth managers, of
-
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
-
Participation in health impact assessment: objectives, methods and core values.
Wright, John; Parry, Jayne; Mathers, Jonathan
2005-01-01
Health impact assessment (HIA) is a multidisciplinary aid to decision-making that assesses the impact of policy on public health and on health inequalities. Its purpose is to assist decision-makers to maximize health gains and to reduce inequalities. The 1999 Gothenburg Consensus Paper (GCP) provides researchers with a rationale for establishing community participation as a core value of HIA. According to the GCP, participation in HIA empowers people within the decision-making process and redresses the democratic deficit between government and society. Participation in HIA generates a sense that health and decision-making is community-owned, and the personal experiences of citizens become integral to the formulation of policy. However, the participatory and empowering dimensions of HIA may prove difficult to operationalize. In this review of the participation strategies adopted in key applications of HIA in the United Kingdom, we found that HIA's aim of influencing decision-making creates tension between its participatory and knowledge-gathering dimensions. Accordingly, researchers have decreased the participatory dimension of HIA by reducing the importance attached to the community's experience of empowerment, ownership and democracy, while enlarging its knowledge-gathering dimension by giving pre-eminence to "expert" and "research-generated" evidence. Recent applications of HIA offer a serviceable rationale for participation as a means of information gathering and it is no longer tenable to uphold HIA as a means of empowering communities and advancing the aims of participatory democracy.
-
NASA Astrophysics Data System (ADS)
Friedl, L. A.; Cox, L.
2008-12-01
The NASA Applied Sciences Program collaborates with organizations to discover and demonstrate applications of NASA Earth science research and technology to decision making. The desired outcome is for public and private organizations to use NASA Earth science products in innovative applications for sustained, operational uses to enhance their decisions. In addition, the program facilitates the end-user feedback to Earth science to improve products and demands for research. The Program thus serves as a bridge between Earth science research and technology and the applied organizations and end-users with management, policy, and business responsibilities. Since 2002, the Applied Sciences Program has sponsored over 115 applications-oriented projects to apply Earth observations and model products to decision making activities. Projects have spanned numerous topics - agriculture, air quality, water resources, disasters, public health, aviation, etc. The projects have involved government agencies, private companies, universities, non-governmental organizations, and foreign entities in multiple types of teaming arrangements. The paper will examine this set of applications projects and present specific examples of successful use of Earth science in decision making. The paper will discuss scientific, organizational, and management factors that contribute to or impede the integration of the Earth science research in policy and management. The paper will also present new methods the Applied Sciences Program plans to implement to improve linkages between science and end users.
-
Participation in health impact assessment: objectives, methods and core values.
Wright, John; Parry, Jayne; Mathers, Jonathan
2005-01-01
Health impact assessment (HIA) is a multidisciplinary aid to decision-making that assesses the impact of policy on public health and on health inequalities. Its purpose is to assist decision-makers to maximize health gains and to reduce inequalities. The 1999 Gothenburg Consensus Paper (GCP) provides researchers with a rationale for establishing community participation as a core value of HIA. According to the GCP, participation in HIA empowers people within the decision-making process and redresses the democratic deficit between government and society. Participation in HIA generates a sense that health and decision-making is community-owned, and the personal experiences of citizens become integral to the formulation of policy. However, the participatory and empowering dimensions of HIA may prove difficult to operationalize. In this review of the participation strategies adopted in key applications of HIA in the United Kingdom, we found that HIA's aim of influencing decision-making creates tension between its participatory and knowledge-gathering dimensions. Accordingly, researchers have decreased the participatory dimension of HIA by reducing the importance attached to the community's experience of empowerment, ownership and democracy, while enlarging its knowledge-gathering dimension by giving pre-eminence to "expert" and "research-generated" evidence. Recent applications of HIA offer a serviceable rationale for participation as a means of information gathering and it is no longer tenable to uphold HIA as a means of empowering communities and advancing the aims of participatory democracy. PMID:15682250
-
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.
-
Power, Status, and Cognitive Territory in Educational Administration.
ERIC Educational Resources Information Center
Ramsey, Margaret A.
This paper attempts to develop a greater understanding of and suggest some methods for defining day-to-day changes in policy and predicting the operation of power and status affecting educational decisions. Physical and cognitive territoriality have meaning in the study and exercise of power and status, and are essential elements in understanding,…
-
Treatment of Heroin Dependence: Effectiveness, Costs, and Benefits of Methadone Maintenance
ERIC Educational Resources Information Center
Schilling, Robert; Dornig, Katrina; Lungren, Lena
2006-01-01
Objectives: Social workers will increasingly be required to attend to the cost-effectiveness of practices, programs, and policies. In the area of substance abuse, there is little evidence to suggest that social workers' decisions are based on evidence of either effectiveness or costs. Method: This article provides an overview of existing evidence…
-
Improving Survey Methods with Cognitive Interviews in Small- and Medium-Scale Evaluations
ERIC Educational Resources Information Center
Ryan, Katherine; Gannon-Slater, Nora; Culbertson, Michael J.
2012-01-01
Findings derived from self-reported, structured survey questionnaires are commonly used in evaluation and applied research to inform policy-making and program decisions. Although there are a variety of issues related to the quality of survey evidence (e.g., sampling precision), the validity of response processes--how respondents process thoughts…
-
Getting Good Results from Survey Research: Part III
ERIC Educational Resources Information Center
McNamara, James F.
2004-01-01
This article is the third contribution to a research methods series dedicated to getting good results from survey research. In this series, "good results" is a stenographic term used to define surveys that yield accurate and meaningful information that decision makers can use with confidence when conducting program evaluation and policy assessment…
-
A human-machine cooperation route planning method based on improved A* algorithm
NASA Astrophysics Data System (ADS)
Zhang, Zhengsheng; Cai, Chao
2011-12-01
To avoid the limitation of common route planning method to blindly pursue higher Machine Intelligence and autoimmunization, this paper presents a human-machine cooperation route planning method. The proposed method includes a new A* path searing strategy based on dynamic heuristic searching and a human cooperated decision strategy to prune searching area. It can overcome the shortage of A* algorithm to fall into a local long term searching. Experiments showed that this method can quickly plan a feasible route to meet the macro-policy thinking.
-
Using decision pathway surveys to inform climate engineering policy choices
Gregory, Robin; Satterfield, Terre; Hasell, Ariel
2016-01-01
Over the coming decades citizens living in North America and Europe will be asked about a variety of new technological and behavioral initiatives intended to mitigate the worst impacts of climate change. A common approach to public input has been surveys whereby respondents’ attitudes about climate change are explained by individuals’ demographic background, values, and beliefs. In parallel, recent deliberative research seeks to more fully address the complex value tradeoffs linked to novel technologies and difficult ethical questions that characterize leading climate mitigation alternatives. New methods such as decision pathway surveys may offer important insights for policy makers by capturing much of the depth and reasoning of small-group deliberations while meeting standard survey goals including large-sample stakeholder engagement. Pathway surveys also can help participants to deepen their factual knowledge base and arrive at a more complete understanding of their own values as they apply to proposed policy alternatives. The pathway results indicate more fully the conditional and context-specific nature of support for several “upstream” climate interventions, including solar radiation management techniques and carbon dioxide removal technologies. PMID:26729883
-
Using decision pathway surveys to inform climate engineering policy choices.
Gregory, Robin; Satterfield, Terre; Hasell, Ariel
2016-01-19
Over the coming decades citizens living in North America and Europe will be asked about a variety of new technological and behavioral initiatives intended to mitigate the worst impacts of climate change. A common approach to public input has been surveys whereby respondents' attitudes about climate change are explained by individuals' demographic background, values, and beliefs. In parallel, recent deliberative research seeks to more fully address the complex value tradeoffs linked to novel technologies and difficult ethical questions that characterize leading climate mitigation alternatives. New methods such as decision pathway surveys may offer important insights for policy makers by capturing much of the depth and reasoning of small-group deliberations while meeting standard survey goals including large-sample stakeholder engagement. Pathway surveys also can help participants to deepen their factual knowledge base and arrive at a more complete understanding of their own values as they apply to proposed policy alternatives. The pathway results indicate more fully the conditional and context-specific nature of support for several "upstream" climate interventions, including solar radiation management techniques and carbon dioxide removal technologies.
-
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.
-
Application of Multi-Criteria Decision Making (MCDM) Technique for Gradation of Jute Fibres
NASA Astrophysics Data System (ADS)
Choudhuri, P. K.
2014-12-01
Multi-Criteria Decision Making is a branch of Operation Research (OR) having a comparatively short history of about 40 years. It is being popularly used in the field of engineering, banking, fixing policy matters etc. It can also be applied for taking decisions in daily life like selecting a car to purchase, selecting bride or groom and many others. Various MCDM methods namely Weighted Sum Model (WSM), Weighted Product Model (WPM), Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) and Elimination and Choice Translating Reality (ELECTRE) are there to solve many decision making problems, each having its own limitations. However it is very difficult to decide which MCDM method is the best. MCDM methods are prospective quantitative approaches for solving decision problems involving finite number of alternatives and criteria. Very few research works in textiles have been carried out with the help of this technique particularly where decision taking among several alternatives becomes the major problem based on some criteria which are conflicting in nature. Gradation of jute fibres on the basis of the criteria like strength, root content, defects, colour, density, fineness etc. is an important task to perform. The MCDM technique provides enough scope to be applied for the gradation of jute fibres or ranking among several varieties keeping in view a particular object and on the basis of some selection criteria and their relative weightage. The present paper is an attempt to explore the scope of applying the multiplicative AHP method of multi-criteria decision making technique to determine the quality values of selected jute fibres on the basis of some above stated important criteria and ranking them accordingly. A good agreement in ranking is observed between the existing Bureau of Indian Standards (BIS) grading and proposed method.
-
Zhong, Taiyang; Chen, Dongmei; Zhang, Xiuying
2016-11-09
Identification of the sources of soil mercury (Hg) on the provincial scale is helpful for enacting effective policies to prevent further contamination and take reclamation measurements. The natural and anthropogenic sources and their contributions of Hg in Chinese farmland soil were identified based on a decision tree method. The results showed that the concentrations of Hg in parent materials were most strongly associated with the general spatial distribution pattern of Hg concentration on a provincial scale. The decision tree analysis gained an 89.70% total accuracy in simulating the influence of human activities on the additions of Hg in farmland soil. Human activities-for example, the production of coke, application of fertilizers, discharge of wastewater, discharge of solid waste, and the production of non-ferrous metals-were the main external sources of a large amount of Hg in the farmland soil.
-
Development of an integrated medical supply information system
NASA Astrophysics Data System (ADS)
Xu, Eric; Wermus, Marek; Blythe Bauman, Deborah
2011-08-01
The integrated medical supply inventory control system introduced in this study is a hybrid system that is shaped by the nature of medical supply, usage and storage capacity limitations of health care facilities. The system links demand, service provided at the clinic, health care service provider's information, inventory storage data and decision support tools into an integrated information system. ABC analysis method, economic order quantity model, two-bin method and safety stock concept are applied as decision support models to tackle inventory management issues at health care facilities. In the decision support module, each medical item and storage location has been scrutinised to determine the best-fit inventory control policy. The pilot case study demonstrates that the integrated medical supply information system holds several advantages for inventory managers, since it entails benefits of deploying enterprise information systems to manage medical supply and better patient services.
-
Zhong, Taiyang; Chen, Dongmei; Zhang, Xiuying
2016-01-01
Identification of the sources of soil mercury (Hg) on the provincial scale is helpful for enacting effective policies to prevent further contamination and take reclamation measurements. The natural and anthropogenic sources and their contributions of Hg in Chinese farmland soil were identified based on a decision tree method. The results showed that the concentrations of Hg in parent materials were most strongly associated with the general spatial distribution pattern of Hg concentration on a provincial scale. The decision tree analysis gained an 89.70% total accuracy in simulating the influence of human activities on the additions of Hg in farmland soil. Human activities—for example, the production of coke, application of fertilizers, discharge of wastewater, discharge of solid waste, and the production of non-ferrous metals—were the main external sources of a large amount of Hg in the farmland soil. PMID:27834884
-
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.
-
NASA Astrophysics Data System (ADS)
Glynn, P. D.; Voinov, A. A.; Shapiro, C. D.; Jenni, K. E.
2017-12-01
Water issues impact the availability and use of other natural resources as well as environmental conditions. In an increasingly populated hyper-connected world, water issues are increasingly "wicked problems": complex problems with high uncertainties and no independent observers. Water is essential to life, and life affects water quality and availability. Scientists, managers, decision-makers, and the greater public all have a stake in improving the management of water resources. In turn, they are part of the systems that they are studying, deciding on, affecting, or trying to improve. Governance of water issues requires greater accessibility, traceability, and accountability (ATA) in science and policy. Water-related studies and decision-making need transdisciplinary science, inclusive participatory processes, and consideration and acceptance of multiple perspectives. Biases, Beliefs, Heuristics, and Values (BBHV) shape much of our perceptions and knowledge, and inevitably, affect both science and policy. Understanding the role of BBHV is critical to (1) understanding individual and group judgments and choices, (2) recognizing potential differences between societal "wants" and societal "needs", and (3) identifying "winners" and "losers" of policy decisions. Societal acceptance of proposed policies and actions can be fostered by enhancing participatory processes and by providing greater ATA in science, in policy, and in development of the laws, rules, and traditions that constrain decision-making. An adaptive science-infused governance framework is proposed that seeks greater cognizance of the role of BBHV in shaping science and policy choices and decisions, and that also seeks "Open Traceable Accountable Policy" to complement "Open Science". We discuss the limitations of the governance that we suggest, as well as tools and approaches to help implementation.
-
Andronis, L; Barton, P; Bryan, S
2009-06-01
To determine how we define good practice in sensitivity analysis in general and probabilistic sensitivity analysis (PSA) in particular, and to what extent it has been adhered to in the independent economic evaluations undertaken for the National Institute for Health and Clinical Excellence (NICE) over recent years; to establish what policy impact sensitivity analysis has in the context of NICE, and policy-makers' views on sensitivity analysis and uncertainty, and what use is made of sensitivity analysis in policy decision-making. Three major electronic databases, MEDLINE, EMBASE and the NHS Economic Evaluation Database, were searched from inception to February 2008. The meaning of 'good practice' in the broad area of sensitivity analysis was explored through a review of the literature. An audit was undertaken of the 15 most recent NICE multiple technology appraisal judgements and their related reports to assess how sensitivity analysis has been undertaken by independent academic teams for NICE. A review of the policy and guidance documents issued by NICE aimed to assess the policy impact of the sensitivity analysis and the PSA in particular. Qualitative interview data from NICE Technology Appraisal Committee members, collected as part of an earlier study, were also analysed to assess the value attached to the sensitivity analysis components of the economic analyses conducted for NICE. All forms of sensitivity analysis, notably both deterministic and probabilistic approaches, have their supporters and their detractors. Practice in relation to univariate sensitivity analysis is highly variable, with considerable lack of clarity in relation to the methods used and the basis of the ranges employed. In relation to PSA, there is a high level of variability in the form of distribution used for similar parameters, and the justification for such choices is rarely given. Virtually all analyses failed to consider correlations within the PSA, and this is an area of concern. Uncertainty is considered explicitly in the process of arriving at a decision by the NICE Technology Appraisal Committee, and a correlation between high levels of uncertainty and negative decisions was indicated. The findings suggest considerable value in deterministic sensitivity analysis. Such analyses serve to highlight which model parameters are critical to driving a decision. Strong support was expressed for PSA, principally because it provides an indication of the parameter uncertainty around the incremental cost-effectiveness ratio. The review and the policy impact assessment focused exclusively on documentary evidence, excluding other sources that might have revealed further insights on this issue. In seeking to address parameter uncertainty, both deterministic and probabilistic sensitivity analyses should be used. It is evident that some cost-effectiveness work, especially around the sensitivity analysis components, represents a challenge in making it accessible to those making decisions. This speaks to the training agenda for those sitting on such decision-making bodies, and to the importance of clear presentation of analyses by the academic community.
-
2014-01-01
Background It is recognized that decisions taken in the early recovery period may affect the development of health systems. Additionally, some suggest that the immediate post-conflict period may allow for the opening of a political ‘window of opportunity’ for reform. For these reasons, it is useful to reflect on the policy space that exists in this period, by what it is shaped, how decisions are made, and what are their long-term implications. Examining the policy trajectory and its determinants can be helpful to explore the specific features of the post-conflict policy-making environment. With this aim, the study looks at the development of policies on human resources for health (HRH) in Sierra Leone over the decade after the conflict (2002–2012). Methods Multiple sources were used to collect qualitative data on the period between 2002 and 2012: a stakeholder mapping workshop, a document review and a series of key informant interviews. The analysis draws from political economy and policy analysis tools, focusing on the drivers of reform, the processes, the contextual features, and the actors and agendas. Findings Our findings identify three stages of policy-making. At first characterized by political uncertainty, incremental policies and stop-gap measures, the context substantially changed in 2009. The launch of the Free Health Care Initiative provided to be an instrumental event and catalyst for health system, and HRH, reform. However, after the launch of the initiative, the pace of HRH decision-making again slowed down. Conclusions Our study identifies the key drivers of HRH policy trajectory in Sierra Leone: (i) the political situation, at first uncertain and later on more defined; (ii) the availability of funding and the stances of agencies providing such funds; (iii) the sense of need for radical change – which is perhaps the only element related to the post-conflict setting. It also emerges that a ‘windows of opportunity’ for reform did not open in the immediate post-conflict, but rather 8 years later when the Free Health Care Initiative was announced, thus making it difficult to link it directly to the features of the post-conflict policy-making environment. PMID:25075212
-
Empirically derived guidance for social scientists to influence environmental policy
Brown, Katrina; Crissman, Charles; De Young, Cassandra; Gooch, Margaret; James, Craig; Jessen, Sabine; Johnson, Dave; Marshall, Paul; Wachenfeld, Dave; Wrigley, Damian
2017-01-01
Failure to stem trends of ecological disruption and associated loss of ecosystem services worldwide is partly due to the inadequate integration of the human dimension into environmental decision-making. Decision-makers need knowledge of the human dimension of resource systems and of the social consequences of decision-making if environmental management is to be effective and adaptive. Social scientists have a central role to play, but little guidance exists to help them influence decision-making processes. We distil 348 years of cumulative experience shared by 31 environmental experts across three continents into advice for social scientists seeking to increase their influence in the environmental policy arena. Results focus on the importance of process, engagement, empathy and acumen and reveal the importance of understanding and actively participating in policy processes through co-producing knowledge and building trust. The insights gained during this research might empower a science-driven cultural change in science-policy relations for the routine integration of the human dimension in environmental decision making; ultimately for an improved outlook for earth’s ecosystems and the billions of people that depend on them. PMID:28278238
-
Making the Connection between Environmental Science and Decision Making
NASA Astrophysics Data System (ADS)
Woodhouse, C. A.; Crimmins, M.; Ferguson, D. B.; Garfin, G. M.; Scott, C. A.
2011-12-01
As society is confronted with population growth, limited resources, and the impacts of climate variability and change, it is vital that institutions of higher education promote the development of professionals who can work with decision-makers to incorporate scientific information into environmental planning and management. Skills for the communication of science are essential, but equally important is the ability to understand decision-making contexts and engage with resource managers and policy makers. It is increasingly being recognized that people who understand the linkages between science and decision making are crucial if science is to better support planning and policy. A new graduate-level seminar, "Making the Connection between Environmental Science and Decision Making," is a core course for a new post-baccalaureate certificate program, Connecting Environmental Science and Decision Making at the University of Arizona. The goal of the course is to provide students with a basic understanding of the dynamics between scientists and decision makers that result in scientific information being incorporated into environmental planning, policy, and management decisions. Through readings from the environmental and social sciences, policy, and planning literature, the course explores concepts including scientific information supply and demand, boundary organizations, co-production of knowledge, platforms for engagement, and knowledge networks. Visiting speakers help students understand some of the challenges of incorporating scientific information into planning and decision making within institutional and political contexts. The course also includes practical aspects of two-way communication via written, oral, and graphical presentations as well as through the interview process to facilitate the transfer of scientific information to decision makers as well as to broader audiences. We aspire to help students develop techniques that improve communication and understanding between scientists and decision-makers, leading to enhanced outcomes in the fields of climate science, water resources, and ecosystem services.
-
Nabyonga-Orem, Juliet; Gebrikidane, Mesfin; Mwisongo, Aziza
2016-07-18
In the last decade participatory approaches have gained prominence in policy-making, becoming the focus of good policy-making processes. Policy dialogue is recognised as an important aspect of policy-making among several interactive and innovative policy-making models applied in different contexts and sectors. Recently there has been emphasis on the quality of policy dialogue in terms of how it should be conducted to attain participation and inclusiveness. However, there is paucity of evidence on how the context influences policy dialogue, particularly participation of stakeholders. Liberia's context, which is characterised as post-war, highly donor dependent and in recovery from the recent catastrophic Ebola outbreak, provides an opportunity to understand the influence of context on policy dialogue. This was an exploratory study using qualitative methods. Key informant interviews were conducted using an interview guide. A total of 16 interviews were conducted, 12 at the national level and 4 at the sub national level. Data were analysed using inductive thematic content analysis. The respondents felt that the dialogues were a success and involved important stakeholders; however, there were concerns about the improper methodology and facilitation used to conduct them. Opinions among the respondents about the process of generating and selecting the themes for the dialogues were extremely divergent. Both before and during the Ebola outbreak, the context was instrumental in shaping the dialogues according to the issue of focus, requirements for participation and the decisions to be made. Policy dialogues have become a platform for policy discussions and decisions in Liberia. It is a process that is well recognised and appreciated and is highly attributed to the success of the negotiations during the Ebola outbreak. To sustain and strengthen policy dialogues in future, there needs to be proper information sharing through diverse forums and avenues, stakeholders' empowerment and competent facilitation. These will ensure that the process is credible and legitimate.
-
NASA Astrophysics Data System (ADS)
Chalabi, Zaid; Milojevic, Ai; Doherty, Ruth M.; Stevenson, David S.; MacKenzie, Ian A.; Milner, James; Vieno, Massimo; Williams, Martin; Wilkinson, Paul
2017-10-01
A decision support system for evaluating UK air quality policies is presented. It combines the output from a chemistry transport model, a health impact model and other impact models within a multi-criteria decision analysis (MCDA) framework. As a proof-of-concept, the MCDA framework is used to evaluate and compare idealized emission reduction policies in four sectors (combustion in energy and transformation industries, non-industrial combustion plants, road transport and agriculture) and across six outcomes or criteria (mortality, health inequality, greenhouse gas emissions, biodiversity, crop yield and air quality legal compliance). To illustrate a realistic use of the MCDA framework, the relative importance of the criteria were elicited from a number of stakeholders acting as proxy policy makers. In the prototype decision problem, we show that reducing emissions from industrial combustion (followed very closely by road transport and agriculture) is more advantageous than equivalent reductions from the other sectors when all the criteria are taken into account. Extensions of the MCDA framework to support policy makers in practice are discussed.
-
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.
-
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.
-
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
-
2012-01-01
Background The problem list is a key part of the electronic health record (EHR) that allows practitioners to see a patient’s diagnoses and health issues. Yet, as the content of the problem list largely represents the subjective decisions of those who edit it, patients’ problem lists are often unreliable when shared across practitioners. The lack of standards for how the problem list is compiled in the EHR limits its effectiveness in improving patient care, particularly as a resource for clinical decision support and population management tools. The purpose of this study is to discover practitioner opinions towards the problem list and the logic behind their decisions during clinical situations. Materials and methods An observational cross-sectional study was conducted at two major Boston teaching hospitals. Practitioners’ opinions about the problem list were collected through both in-person interviews and an online questionnaire. Questions were framed using vignettes of clinical scenarios asking practitioners about their preferred actions towards the problem list. Results These data confirmed prior research that practitioners differ in their opinions over managing the problem list, but in most responses to a questionnaire, there was a common approach among the relative majority of respondents. Further, basic demographic characteristics of providers (age, medical experience, etc.) did not appear to strongly affect attitudes towards the problem list. Conclusion The results supported the premise that policies and EHR tools are needed to bring about a common approach. Further, the findings helped identify what issues might benefit the most from a defined policy and the level of restriction a problem list policy should place on the addition of different types of information. PMID:23140312
-
A technical framework for costing health workforce retention schemes in remote and rural areas
2011-01-01
Background Increasing the availability of health workers in remote and rural areas through improved health workforce recruitment and retention is crucial to population health. However, information about the costs of such policy interventions often appears incomplete, fragmented or missing, despite its importance for the sound selection, planning, implementation and evaluation of these policies. This lack of a systematic approach to costing poses a serious challenge for strong health policy decisions. Methods This paper proposes a framework for carrying out a costing analysis of interventions to increase the availability of health workers in rural and remote areas with the aim to help policy decision makers. It also underlines the importance of identifying key sources of financing and of assessing financial sustainability. The paper reviews the evidence on costing interventions to improve health workforce recruitment and retention in remote and rural areas, provides guidance to undertake a costing evaluation of such interventions and investigates the role and importance of costing to inform the broader assessment of how to improve health workforce planning and management. Results We show that while the debate on the effectiveness of policies and strategies to improve health workforce retention is gaining impetus and attention, there is still a significant lack of knowledge and evidence about the associated costs. To address the concerns stemming from this situation, key elements of a framework to undertake a cost analysis are proposed and discussed. Conclusions These key elements should help policy makers gain insight into the costs of policy interventions, to clearly identify and understand their financing sources and mechanisms, and to ensure their sustainability. PMID:21470420
-
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.
-
Combining research, advocacy, and education: the methods of the Grandparent Caregiver Study.
Roe, K M; Minkler, M; Saunders, F F
1995-11-01
This article presents a case study of the effective synergy of health education inquiry, community collaboration, and policy advocacy. Using the Grandparent Caregiver Study as the example, the authors focus on key methodological decisions that enabled them to incorporate research, education, and advocacy activities into an ever-growing project on a modest budget. The study itself centered on two in-depth interviews with each of 71 African American grandmothers raising young grandchildren due to the crack cocaine epidemic in Oakland, California. The case study demonstrates ways in which health education research can increase the efficacy of individuals and disenfranchised groups to define problems, voice their concerns, and advocate for more just and healthy public policies. Through discussion of the authors' methods and activities, they suggest strategies through which research participants, service providers, and policymakers can work together to bring a new issue to the policy arena through a collaborative and empowering research process.
-
Policy perspectives on the emerging pathways of personalized medicine
Downing, Gregory J.
2009-01-01
Remarkable advances in the fundamental knowledge about the biological basis of disease and technical advances in methods to assess genomic information have led the health care system to the threshold of personalized medicine. It is now feasible to consider strategic application of genomic information to guide patient management by being predictive, preemptive, and preventive, and enabling patient participation in medical decisions. Early evidence of this transition has some hallmarks of disruptive innovation to existing health care practices. Presented here is an examination of the changes underway to enable this new concept in health care in the United States, to improve precision and quality of care through innovations aimed at individualized approaches to medical decision making. A broad range of public policy positions will need to be considered for the health care delivery enterprise to accommodate the promise of this new science and technology for the benefit of patients. PMID:20135895
-
Commercial Nuclear Reprocessing in the United States
DOE Office of Scientific and Technical Information (OSTI.GOV)
Sherrill, Charles Leland; Balatsky, Galya Ivanovna
2015-09-09
The short presentation outline: Reprocessing Overview; Events leading up to Carter’s Policy; Results of the decision; Policy since Nuclear Nonproliferation Act. Conclusions reached: Reprocessing ban has become an easy and visible fix to the public concern about proliferation, but has not completely stopped proliferation; and, Reprocessing needs to become detached from political considerations, so technical research can continue, regardless of the policy decisions we decide to take.
-
A Novel Field-Deployable Point-of-Care Diagnostic Test for Cutaneous Leishmaniasis
2016-10-01
and should not be construed as an official Department of the Army position, policy or decision unless so designated by other documentation. REPORT...PERFORMING ORGANIZATION REPORT NUMBER Venezuela Av. Block 36 Bellavista, Callao-Peru University of Texas Medical Branch,301 University Blvd, Marvin...practices, decision making, policies (including regulatory policies ), or social actions; or improving social, economic, civic, or environmental
-
Macroeconomic policies and increasing social-health inequality in Iran
Zaboli, Rouhollah; Seyedin, Seyed Hesam; Malmoon, Zainab
2014-01-01
Background: Health is a complex phenomenon that can be studied from different approaches. Despite a growing research in the areas of Social Determinants of Health (SDH) and health equity, effects of macroeconomic policies on the social aspect of health are unknown in developing countries. This study aimed to determine the effect of macroeconomic policies on increasing of the social-health inequality in Iran. Methods: This study was a mixed method research. The study population consisted of experts dealing with social determinants of health. A purposive, stratified and non-random sampling method was used. Semi-structured interviews were conducted to collect the data along with a multiple attribute decision-making method for the quantitative phase of the research in which the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed for prioritization. The NVivo and MATLAB softwares were used for data analysis. Results: Seven main themes for the effect of macroeconomic policies on increasing the social-health inequality were identified. The result of TOPSIS approved that the inflation and economic instability exert the greatest impact on social-health inequality, with an index of 0.710 and the government policy in paying the subsidies with a 0.291 index has the lowest impact on social-health inequality in the country. Discussion: It is required to invest on the social determinants of health as a priority to reduce health inequality. Also, evaluating the extent to which the future macroeconomic policies impact the health of population is necessary. PMID:25197677
-
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.
-
Using institutional and behavioural economics to examine animal health systems.
Wolf, C A
2017-04-01
Economics provides a framework for understanding management decisions and their policy implications for the animal health system. While the neoclassical economic model is useful for framing animal health decisions on the farm, some of its assumptions and prescriptive results may be unrealistic. Institutional and behavioural economics address some of these potential shortcomings by considering the role of information, psychology and social factors in decisions. Framing such decisions under contract theory allows us to consider asymmetric information between policy-makers and farmers. Perverse incentives may exist in the area of preventing and reporting disease. Behavioural economics examines the role of internal and external psychological and social factors. Biases, heuristics, habit, social norms and other such aspects can result in farm decision-makers arriving at what might be considered irrational or otherwise sub-optimal decisions. Framing choices and providing relevant information and examples can alleviate these behavioural issues. The implications of this approach for disease policy and an applied research and outreach programme to respond to animal diseases are discussed.
-
Playing the role of a ‘boundary organisation’: getting smarter with networking
2011-01-01
Background This paper discusses the practices of organisations that cross the boundary between research and politics, to promote evidence-based policies and programmes. Methods It uses the experience of a network of organisations in Africa to describe the methodology, challenges and successes of efforts to promote utilisation of research on the inter-connections between HIV/AIDS, food security and nutrition in South Africa. It emphasises that crossing the boundary between science and politics can be done systematically and is inevitable for any attempt that seeks influence policy making. Results The paper reveals the complexity of the research-policy making interface and identifies key lessons for the practice of networking and engaging policy and decision-makers. Conclusion The concept of boundary organisation is a helpful means to understand the methodological underpinnings of efforts to get research into policy and practice and to understand the ‘messy’ process of doing so. PMID:21679378
-
Ongolo-Zogo, Pierre; Lavis, John N; Tomson, Goran; Sewankambo, Nelson K
2018-05-01
There is a scarcity of empirical data on the influence of initiatives supporting evidence-informed health system policy-making (EIHSP), such as the knowledge translation platforms (KTPs) operating in Africa. To assess whether and how two KTPs housed in government-affiliated institutions in Cameroon and Uganda have influenced: (1) health system policy-making processes and decisions aiming at supporting achievement of the health millennium development goals (MDGs); and (2) the general climate for EIHSP. We conducted an embedded comparative case study of four policy processes in which Evidence Informed Policy Network (EVIPNet) Cameroon and Regional East African Community Health Policy Initiative (REACH-PI) Uganda were involved between 2009 and 2011. We combined a documentary review and semi structured interviews of 54 stakeholders. A framework-guided thematic analysis, inspired by scholarship in health policy analysis and knowledge utilization was used. EVIPNet Cameroon and REACH-PI Uganda have had direct influence on health system policy decisions. The coproduction of evidence briefs combined with tacit knowledge gathered during inclusive evidence-informed stakeholder dialogues helped to reframe health system problems, unveil sources of conflicts, open grounds for consensus and align viable and affordable options for achieving the health MDGs thus leading to decisions. New policy issue networks have emerged. The KTPs indirectly influenced health policy processes by changing how interests interact with one another and by introducing safe-harbour deliberations and intersected with contextual ideational factors by improving access to policy-relevant evidence. KTPs were perceived as change agents with positive impact on the understanding, acceptance and adoption of EIHSP because of their complementary work in relation to capacity building, rapid evidence syntheses and clearinghouse of policy-relevant evidence. This embedded case study illustrates how two KTPs influenced policy decisions through pathways involving policy issue networks, interest groups interaction and evidence-supported ideas and how they influenced the general climate for EIHSP.
-
Lavis, John N; Tomson, Goran; Sewankambo, Nelson K
2018-01-01
Abstract There is a scarcity of empirical data on the influence of initiatives supporting evidence-informed health system policy-making (EIHSP), such as the knowledge translation platforms (KTPs) operating in Africa. To assess whether and how two KTPs housed in government-affiliated institutions in Cameroon and Uganda have influenced: (1) health system policy-making processes and decisions aiming at supporting achievement of the health millennium development goals (MDGs); and (2) the general climate for EIHSP. We conducted an embedded comparative case study of four policy processes in which Evidence Informed Policy Network (EVIPNet) Cameroon and Regional East African Community Health Policy Initiative (REACH-PI) Uganda were involved between 2009 and 2011. We combined a documentary review and semi structured interviews of 54 stakeholders. A framework-guided thematic analysis, inspired by scholarship in health policy analysis and knowledge utilization was used. EVIPNet Cameroon and REACH-PI Uganda have had direct influence on health system policy decisions. The coproduction of evidence briefs combined with tacit knowledge gathered during inclusive evidence-informed stakeholder dialogues helped to reframe health system problems, unveil sources of conflicts, open grounds for consensus and align viable and affordable options for achieving the health MDGs thus leading to decisions. New policy issue networks have emerged. The KTPs indirectly influenced health policy processes by changing how interests interact with one another and by introducing safe-harbour deliberations and intersected with contextual ideational factors by improving access to policy-relevant evidence. KTPs were perceived as change agents with positive impact on the understanding, acceptance and adoption of EIHSP because of their complementary work in relation to capacity building, rapid evidence syntheses and clearinghouse of policy-relevant evidence. This embedded case study illustrates how two KTPs influenced policy decisions through pathways involving policy issue networks, interest groups interaction and evidence-supported ideas and how they influenced the general climate for EIHSP. PMID:29506146
-
Jauregui, Barbara; Garcia, Ana Gabriela Felix; Bess Janusz, Cara; Blau, Julia; Munier, Aline; Atherly, Deborah; Mvundura, Mercy; Hajjeh, Rana; Lopman, Benjamin; Clark, Andrew David; Baxter, Louise; Hutubessy, Raymond; de Quadros, Ciro; Andrus, Jon Kim
2015-05-07
Pan American Health Organization's (PAHO) ProVac Initiative aims to strengthen countries' technical capacity to make evidence-based immunization policy. With financial support from the Bill and Melinda Gates Foundation, PAHO established the ProVac International Working Group (IWG), a platform created for two years to transfer the ProVac Initiative's tools and methods to support decisions in non-PAHO regions. In 2011, WHO Regional Offices and partner agencies established the IWG to transfer the ProVac framework for new vaccine decision support, including tools and trainings to other regions of the world. During the two year period, PAHO served as the coordinating secretariat and partner agencies played implementing or advisory roles. Fifty nine national professionals from 17 countries received training on the use of economic evaluations to aid vaccine policy making through regional workshops. The IWG provided direct technical support to nine countries to develop cost-effectiveness analyses to inform decisions. All nine countries introduced the new vaccine evaluated or their NITAGs have made a recommendation to the Ministry of Health to introduce the new vaccine. Developing countries around the world are increasingly interested in weighing the potential health impact due to new vaccine introduction against the investments required. During the two years, the ProVac approach proved valuable and timely to aid the national decision making processes, even despite the different challenges and idiosyncrasies encountered in each region. The results of this work suggest that: (1) there is great need and demand for technical support and for capacity building around economic evaluations; and (2) the ProVac method of supporting country-owned analyses is as effective in other regions as it has been in the PAHO region. Decision support for new vaccine introduction in low- and middle-income countries is critical to guiding the efficient use of resources and prioritizing high impact vaccination programs. Copyright © 2015. Published by Elsevier Ltd.
-
Data Disclosure for Chemical Evaluations
Barrow, Craig; Borgert, Christopher J.; Conrad, James W.; Edwards, Debra; Felsot, Allan
2012-01-01
Background: Public disclosure of scientific data used by the government to make regulatory decisions for chemicals is a practical step that can enhance public confidence in the scientific basis of such decisions. Objectives: We reviewed the U.S. Environmental Protection Agency’s (EPA) current practices regarding disclosure of data underlying regulatory and policy decisions involving chemicals, including pesticides. We sought to identify additional opportunities for the U.S. EPA to disclose data and, more generally, to promote broad access to data it uses, regardless of origin. Discussion: We recommend that when the U.S. EPA proposes a regulatory determination or other policy decision that relies on scientific research, it should provide sufficient underlying raw data and information about methods to enable reanalysis and attempts to independently reproduce the work, including the sensitivity of results to alternative analyses. This recommendation applies regardless of who conducted the work. If the U.S. EPA is unable to provide such transparency, it should state whether it had full access to all underlying data and methods. A timely version of submitted data cleared of information about confidential business matters and personal privacy should fully meet the standards of transparency described below, including public access sufficient for others to undertake an independent reanalysis. Conclusion: Reliable chemical evaluation is essential for protecting public health and the environment and for ensuring availability of useful chemicals under appropriate conditions. Permitting qualified researchers to endeavor to independently reproduce the analyses used in regulatory determinations of pesticides and other chemicals would increase confidence in the scientific basis of such determinations. PMID:23228957
-
NASA Technical Reports Server (NTRS)
Frankel, M. S.
1972-01-01
The policy making process which led to development of the Public Health Service Guidelines governing research involving human subjects is outlined. Part 1 examines the evolution of PHS Guidelines, tracing (1) evolution of thought and legal interpretation regarding research using human subjects; (2) initial involvement of the Federal government; (3) development of the government's research program; (4) the social-political environment in which formal government policy was developed; and (5) various policy statements issued by the government. Part 2 analyzes the process by which PHS Guidelines were developed and examines the values and other underlying factors which contributed to their development. It was concluded that the evolution of the Guidelines is best understood within the context of a mixed-scanning strategy. In such a strategy, policy makers make fundamental decisions regarding the basic direction of policy and subsequent decisions are made incrementally and within the contexts set by the original fundamental decisions.
-
U.S. EPA. 2000. Science Policy Council Handbook: Peer Review
The goal of the Peer Review Policy and this Handbook is to enhance the quality and credibility of Agency decisions by ensuring that the scientific and technical work products underlying these decisions receive appropriate levels of peer review by independe
-
Forest management and economics
DOE Office of Scientific and Technical Information (OSTI.GOV)
Buongiorno, J.; Gilless, J.K.
1987-01-01
This volume provides a survey of quantitative methods, guiding the reader through formulation and analysis of models that address forest management problems. The authors use simple mathematics, graphics, and short computer programs to explain each method. Emphasizing applications, they discuss linear, integer, dynamic, and goal programming; simulation; network modeling; and econometrics, as these relate to problems of determining economic harvest schedules in even-aged and uneven-aged forests, the evaluation of forest policies, multiple-objective decision making, and more.
-
NASA Astrophysics Data System (ADS)
Prehoda, Emily W.
This thesis presents three examples of U.S. energy policy and demonstrates how these policies violate the principles of energy justice. First, requiring only Federal agencies to obtain a percentage of energy production from renewables violates the distributive energy justice principle through a lack of a federal renewable energy policy which distributes the potential for unequal electrical grid failure to populations. Second, U.S. energy policy violates the procedural energy justice principle through inequitable participation and poor knowledge dissemination that, in some cases, contributes to stagnant renewable targets during the decision-making process and inequitable distribution of the benefits associated with renewable energy arguably resulting from differential representation of economic groups in policy decision making. Third, the United States' continued reliance on and subsidization of fossil fuel extraction and use, violates the prohibitive energy justice principle by causing physical harm to humans and the environment. Finally, a lack of federal renewable energy policy hinders comprehensive energy policy including diversifying the U.S. renewable energy portfolios. Considering energy policy through the framework of energy justice offers a means of evaluating existing policy and can improve future energy policy decision-making. Demanding energy justice ensures that all populations have equitable distribution, participation, and access to affordable, efficient, and clean energy technologies that contribute to obtaining basic needs.
-
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.
-
Noyes, Jane; Lewis, Mary; Bennett, Virginia; Widdas, David; Brombley, Karen
2014-01-01
To report the first large-scale realistic nurse-led implementation, optimization and evaluation of a complex children's continuing-care policy. Health policies are increasingly complex, involve multiple Government departments and frequently fail to translate into better patient outcomes. Realist methods have not yet been adapted for policy implementation. Research methodology - Evaluation using theory-based realist methods for policy implementation. An expert group developed the policy and supporting tools. Implementation and evaluation design integrated diffusion of innovation theory with multiple case study and adapted realist principles. Practitioners in 12 English sites worked with Consultant Nurse implementers to manipulate the programme theory and logic of new decision-support tools and care pathway to optimize local implementation. Methods included key-stakeholder interviews, developing practical diffusion of innovation processes using key-opinion leaders and active facilitation strategies and a mini-community of practice. New and existing processes and outcomes were compared for 137 children during 2007-2008. Realist principles were successfully adapted to a shorter policy implementation and evaluation time frame. Important new implementation success factors included facilitated implementation that enabled 'real-time' manipulation of programme logic and local context to best-fit evolving theories of what worked; using local experiential opinion to change supporting tools to more realistically align with local context and what worked; and having sufficient existing local infrastructure to support implementation. Ten mechanisms explained implementation success and differences in outcomes between new and existing processes. Realistic policy implementation methods have advantages over top-down approaches, especially where clinical expertise is low and unlikely to diffuse innovations 'naturally' without facilitated implementation and local optimization. © 2013 John Wiley & Sons Ltd.
-
Van Wensem, Joke; Calow, Peter; Dollacker, Annik; Maltby, Lorraine; Olander, Lydia; Tuvendal, Magnus; Van Houtven, George
2017-01-01
The presumption is that ecosystem services (ES) approaches provide a better basis for environmental decision making than do other approaches because they make explicit the connection between human well-being and ecosystem structures and processes. However, the existing literature does not provide a precise description of ES approaches for environmental policy and decision making, nor does it assess whether these applications will make a difference in terms of changing decisions and improving outcomes. We describe 3 criteria that can be used to identify whether and to what extent ES approaches are being applied: 1) connect impacts all the way from ecosystem changes to human well-being, 2) consider all relevant ES affected by the decision, and 3) consider and compare the changes in well-being of different stakeholders. As a demonstration, we then analyze retrospectively whether and how the criteria were met in different decision-making contexts. For this assessment, we have developed an analysis format that describes the type of policy, the relevant scales, the decisions or questions, the decision maker, and the underlying documents. This format includes a general judgment of how far the 3 ES criteria have been applied. It shows that the criteria can be applied to many different decision-making processes, ranging from the supranational to the local scale and to different parts of decision-making processes. In conclusion we suggest these criteria could be used for assessments of the extent to which ES approaches have been and should be applied, what benefits and challenges arise, and whether using ES approaches made a difference in the decision-making process, decisions made, or outcomes of those decisions. Results from such studies could inform future use and development of ES approaches, draw attention to where the greatest benefits and challenges are, and help to target integration of ES approaches into policies, where they can be most effective. Integr Environ Assess Manag 2017;13:41-51. © 2016 SETAC. © 2016 SETAC.
-
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.
-
Birchley, Giles; Jones, Kerry; Huxtable, Richard; Dixon, Jeremy; Kitzinger, Jenny; Clare, Linda
2016-07-27
In most Anglophone nations, policy and law increasingly foster an autonomy-based model, raising issues for large numbers of people who fail to fit the paradigm, and indicating problems in translating practical and theoretical understandings of 'good death' to policy. Three exemplar populations are frail older people, people with dementia and people with severe traumatic brain injury. We hypothesise that these groups face some over-lapping challenges in securing good end-of-life care linked to their limited agency. To better understand these challenges, we conducted a scoping review and thematic synthesis. To capture a range of literature, we followed established scoping review methods. We then used thematic synthesis to describe the broad themes emerging from this literature. Initial searches generated 22,375 references, and screening yielded 49, highly heterogeneous, studies that met inclusion criteria, encompassing 12 countries and a variety of settings. The thematic synthesis identified three themes: the first concerned the processes of end-of-life decision-making, highlighting the ambiguity of the dominant shared decision-making process, wherein decisions are determined by families or doctors, sometimes explicitly marginalising the antecedent decisions of patients. Despite this marginalisation, however, the patient does play a role both as a social presence and as an active agent, by whose actions the decisions of those with authority are influenced. The second theme examined the tension between predominant notions of a good death as 'natural' and the drive to medicalise death through the lens of the experiences and actions of those faced with the actuality of death. The final theme considered the concept of antecedent end-of-life decision-making (in all its forms), its influence on policy and decision-making, and some caveats that arise from the studies. Together these three themes indicate a number of directions for future research, which are likely to be applicable to other conditions that result in reduced agency. Above all, this review emphasises the need for new concepts and fresh approaches to end of life decision-making that address the needs of the growing population of frail older people, people with dementia and those with severe traumatic brain injury.
-
NASA Astrophysics Data System (ADS)
Brown, Linda Lou
Federal educational policy, No Child Left Behind Act of 2001, focused attention on America's education with conspicuous results. One aspect, highly qualified classroom teacher and principal (HQ), was taxing since states established individual accountability structures. The HQ impact and use of data-informed decision-making (DIDM) for Texas elementary science education monitoring by campus administrators, Campus Instruction Leader (CILs), provides crucial relationships to 5th grade students' learning and achievement. Forty years research determined improved student results when sustained, supported, and focused professional development (PD) for teachers is available. Using mixed methods research, this study applied quantitative and qualitative analysis from two, electronic, on-line surveys: Texas Elementary, Intermediate or Middle School Teacher Survey(c) and the Texas Elementary Campus Administrator Survey(c) with results from 22.3% Texas school districts representing 487 elementary campuses surveyed. Participants selected in random, stratified sampling of 5th grade teachers who attended local Texas Regional Collaboratives science professional development (PD) programs between 2003-2008. Survey information compared statistically to campus-level average passing rate scores on the 5th grade science TAKS using Statistical Process Software (SPSS). Written comments from both surveys analyzed with Qualitative Survey Research (NVivo) software. Due to the level of uncertainty of variables within a large statewide study, Mauchly's Test of Sphericity statistical test used to validate repeated measures factor ANOVAs. Although few individual results were statistically significant, when jointly analyzed, striking constructs were revealed regarding the impact of HQ policy applications and elementary CILs use of data-informed decisions on improving 5th grade students' achievement and teachers' PD learning science content. Some constructs included the use of data-warehouse programs; teachers' applications of DIDM to modify lessons for differentiated science instruction, the numbers of years' teachers attended science PD, and teachers' influence on CILs staffing decisions. Yet CILs reported 14% of Texas elementary campuses had limited or no science education programs due to federal policy requirement for reading and mathematics. Three hypothesis components were supported and accepted from research data resulted in two models addressing elementary science, science education PD, and CILs impact for federal policy applications.
-
2012-01-01
Background Social determinants have been described as having a greater influence than other determinants of health status. The major social determinants of health and the necessary policy objectives have been defined; it is now necessary to evaluate the effectiveness of these policies. Previous studies have shown that descriptions of the awareness level of citizens and local decision makers, practice-based research and evidence, and intersectoral studies are the best options for investigating the social determinants of health at the community level. The objective of the present study was to define local decision makers’ awareness of the social determinants of health in the Aydin province of Turkey. Methods A total of 53 mayors serve the Aydin city center, districts and towns. Aydin city center has 22 neighborhoods and 22 headmen responsible for them. The present study targeted all mayors and headmen in Aydin - a total of 75 possible participants. A questionnaire was used to collect the data. The questionnaire was faxed to the mayors and administered face-to-face with the headmen. Results Headmen identified the three most important determinants of public health as environmental issues, addictions (smoking, alcohol) and malnutrition. According to the mayors, the major determinant of public health is stress, followed by malnutrition, environmental issues, an inactive lifestyle, and the social and economic conditions of the country. Both groups expressed that the Turkish Ministry of Health, municipalities and universities are the institutions responsible for developing health policy. Headmen were found to be unaware and mayors were aware of the social determinants of health as classified by the World Health Organisation. Both groups were classified as unaware with regard to their awareness of the Marmot Review policy objectives. Conclusions Studies such as the present study provide important additional information on the social determinants of health, and help to increase the awareness levels of both local decision-makers and the community. Such studies must be considered a vital first step in future public health research on health determinants and their impact on national and international policies. PMID:22703525
-
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.
-
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.
-
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
-
Use of economic evaluation in decision making: evidence and recommendations for improvement.
Simoens, Steven
2010-10-22
Information about the value for money of a medicine as derived from an economic evaluation can be used for decision-making purposes by policy makers, healthcare payers, healthcare professionals and pharmaceutical companies. This article illustrates the use of economic evaluation by decision makers and formulates a number of recommendations to enhance the use of such evaluations for decision-making purposes. Over the last decades, there has been a substantial increase in the number of economic evaluations assessing the value for money of medicines. Economic evaluation is used by policy makers and healthcare payers to inform medicine pricing/reimbursement decisions in more and more countries. It is a suitable tool to evaluate medicines and to present information about their value for money to decision makers in a familiar format. In order to fully exploit the use of economic evaluation for decision-making purposes, researchers need to take care to conduct such economic evaluations according to methodologically sound principles. Additionally, researchers need to take into account the decision-making context. They need to identify the various objectives that decision makers pursue and discuss how decision makers can use study findings to attain these objectives. These issues require further attention from researchers, policy makers, healthcare payers, healthcare professionals and pharmaceutical companies with a view to optimizing the use of economic evaluation in decision making.
-
NASA Astrophysics Data System (ADS)
Remillard, C. M.; Madden, M.; Favors, J.; Childs-Gleason, L.; Ross, K. W.; Rogers, L.; Ruiz, M. L.
2016-06-01
The NASA DEVELOP National Program bridges the gap between NASA Earth Science and society by building capacity in both participants and partner organizations that collaborate to conduct projects. These rapid feasibility projects highlight the capabilities of satellite and aerial Earth observations. Immersion of decision and policy makers in these feasibility projects increases awareness of the capabilities of Earth observations and contributes to the tools and resources available to support enhanced decision making. This paper will present the DEVELOP model, best practices, and two case studies, the Colombia Ecological Forecasting project and the Miami-Dade County Ecological Forecasting project, that showcase the successful adoption of tools and methods for decision making. Through over 90 projects each year, DEVELOP is always striving for the innovative, practical, and beneficial use of NASA Earth science data.
-
Images of China in U.S. Foreign Policy Making
2014-03-01
process may develop into cognitive dissonance . The individual decision maker could avoid or justify alternative information that opposes his or her...particularly in Acheson’s cognition of China. The establishment of a communist state in mainland China, the formation of a Sino-Soviet alliance, and the...argues that it is difficult to examine policy decisions in a situation without regarding the policy makers’ cognition of the world and 6 the
-
GLIMPSE: a rapid decision framework for energy and environmental policy
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 techn...
-
NASA Astrophysics Data System (ADS)
Garcia, M. E.; Alarcon, T.; Portney, K.; Islam, S.
2013-12-01
Water resource systems are a classic example of a common pool resource due to the high cost of exclusion and the subtractability of the resource; for common pool resources, the performance of governance systems primarily depends on how well matched the institutional arrangements and rules are to the biophysical conditions and social norms. Changes in water governance, hydro-climatic processes and infrastructure systems occur on disparate temporal and spatial scales. A key challenge is the gap between current climate change model resolution, and the spatial and temporal scale of urban water supply decisions. This gap will lead to inappropriate management policies if not mediated through a carefully crafted decision making process. Traditional decision support and planning methods (DSPM) such as classical decision analysis are not equipped to deal with a non-static climate. While emerging methods such as decision scaling, robust decision making and real options are designed to deal with a changing climate, governance systems have evolved under the assumption of a static climate and it is not clear if these methods are well suited to the existing governance regime. In our study, these questions are contextualized by examining an urban water utility that has made significant changes in policy to adapt to changing conditions: the Southern Nevada Water Authority (SNWA) which serves metropolitan Las Vegas. Like most desert cities, Las Vegas exists because of water; the artesian springs of the Las Vegas Valley once provided an ample water supply for Native Americans, ranchers and later a small railroad city. However, population growth has increased demands far beyond local supplies. The area now depends on the Colorado River for the majority of its water supply. Natural climate variability with periodic droughts has further challenged water providers; projected climate changes and further population growth will exacerbate these challenges. Las Vegas is selected as a case study due to the combined challenges of population growth and climate change, common in the arid west, and due its cooperative institutional response to these challenges, unprecedented in the arid west. To begin to disentangle this question we have analyzed the institutional arrangements and rules which govern water decision making in the Las Vegas Valley and evaluated the existing DSPM used by the SNWA and partner utilities. Presented here are the preliminary results from an ongoing project.
-
Bridging the Gap Between Policy and Research Infrastructure: Risk and Vulnerability Case Study
NASA Astrophysics Data System (ADS)
Hugo, Wim; Rogers, Annabelle
2017-04-01
Linking sound scientific data and conclusions to decision and policy support is not a trivial task, and the difficulty in achieving this has been highlighted more than a decade ago (Reid, 2004). There are several reasons why this is the case, inter alia: 1. The language, (vocabularies, framework, and heuristics) adopted by the research community in a specific discipline may not translate into meaningful implementation language (Preston et al., 2015); 2. The researchers may not be in a position of influence (which includes aspects such as writing policy briefs, undertaking personal initiatives, and building up public or industry concern and interest) (Fox and Sitkin, 2015); 3. The frequency, timing, and/or certainty associated with research output is at odds with decision and policy-making cycles. Research typically progresses until there is a defensible level of certainty in statistical assessment of a result, while policy decisions are often made within a regular cycle; 4. Scientists are not trained for, or measured by, the typical work required for decision and policy support: synthesis of scenarios and cost-benefits of such scenarios given sometimes significant uncertainty in the input data, and cross-disciplinary concerns that need to be balanced. There is a significant expectation that research output, being increasingly open, standardised, and managed in formal research data infrastructure, will be useful to policy and decision makers without much additional intervention and modification. We believe that this is unlikely to be feasible in the majority of cases. For most instances, it will be necessary to provide a framework for the translation of scientific output into decision and policy support metrics or indicators at a frequency, with spatial and temporal resolution, and thematic coverage that suits the decision to be made. Such frameworks exist, since the need has been identified - sometimes formally - such as the very detailed framework developed by IPCC for translating climate science into policy - (IPCC, 2007), or less formally - such as the move to develop Essential Biodiversity Variables, loosely designed to support Aichi Targets (Pereira et al., 2013) or the UN Sustainable Development Goals (UN, 2016). In the paper, we examine a number of these frameworks, map them onto a generic framework for the translation of research output into policy and decision support, and discuss an example from the South African Risk and Vulnerability Atlas in detail. References Craig R. Fox & Sim B. Sitkin (2015). Bridging the divide between behavioral science & policy, Behavioral Science & Policy, Spring 2015, https://behavioralpolicy.org/wp-content/uploads/2016/1-1/Bridging-the-divide-between-behavioral-science-and-policy.pdf IPCC (2007). Conceptual framework for the identification and assessment of key vulnerabilities, https://www.ipcc.ch/publications_and_data/ar4/wg2/en/ch19s19-1-2.html Pereira et al. (2013). Essential Biodiversity Variables, Science 18 Jan 2013: Vol. 339, Issue 6117, pp. 277-278 DOI: 10.1126/science.1229931 Preston, B.L., Mustelin, J. & Maloney, M.C. Mitig Adapt Strateg Glob Change (2015) 20: 467. doi:10.1007/s11027-013-9503-x Reid WV (2004) Bridging the Science-Policy Divide. PLoS Biol 2(2): e27. doi:10.1371/journal.pbio.0020027 UN (2016). Sustainable Development Goals, http://www.un.org/sustainabledevelopment/sustainable-development-goals/
-
The Struggle for Equality: School Integration Controversy in New York City.
ERIC Educational Resources Information Center
Swanson, Bert E.
A study of the problems and decision making processes associated with the integration of New York City's public schools focuses on the reaction of the dominant white community to proposed integration policies. The research was funded by the U.S. Office of Education, Cooperative Research Program. The volume discusses the scope and method of this…
-
Interdisciplinary Distinguished Seminar Series
2014-08-29
official Department of the Army position, policy or decision, unless so designated by other documentation. 9. SPONSORING/MONITORING AGENCY NAME(S) AND...Received Book TOTAL: Patents Submitted Patents Awarded Awards Graduate Students Names of Post Doctorates Names of Faculty Supported Names of Under...capabilities, estimation and optimization techniques, image and color standards, efficient programming methods and efficient ASIC designs . This seminar will
-
Rapid issue tracking: A method for taking the pulse of the public discussion of environmental policy
David N. Bengston; David P. Fan; Patrick Reed; Ashley Goldhor-Wilcock
2009-01-01
Environmental communication professionals and other decision makers need to understand public sentiment toward environmental issues to effectively carry out their stewardship responsibilities. However, it is often difficult to obtain timely and reliable information about public discussion and debate regarding these issues. This paper describes an approach designed to...
-
ERIC Educational Resources Information Center
Waldron, Chad H.
2014-01-01
This descriptive, mixed method study investigated the literacy-related contextual factors and local curricular decision-making of experienced elementary literacy teachers in one large U.S. public school district. The study's guiding research question was: How do elementary in-service teachers teach literacy within the contexts of required literacy…
-
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
Agnant Rogers, Myriam
2013-01-01
As a result of poor student performance, professional development has emerged as a key strategy for improving instruction and achievement. In times of reduced resources and increased accountability, schools must evaluate their efforts in order to make sound decisions about policy and practice. This mixed method study was designed to investigate…
-
Wilderness recreation use estimation: a handbook of methods and systems
Alan E. Watson; David N. Cole; David L. Turner; Penny S. Reynolds
2000-01-01
Documented evidence shows that managers of units within the U.S. National Wilderness Preservation System are making decisions without reliable information on the amount, types, and distribution of recreation use occurring at these areas. There are clear legislative mandates and agency policies that direct managers to monitor trends in use and conditions in wilderness....
-
Assessment and Continuous Quality Improvement: A North American Case Study.
ERIC Educational Resources Information Center
Tait, Jo; Knight, Peter
1995-01-01
Examines a five-stage assessment model used at James Madison University (Virginia) to assess student learning and to guide policy. Includes identification of program objectives, selection or design of methods that measure those outcomes, analysis of assessment data, application of data for decision making, and use of data to bid for state funding.…
-
DOE Office of Scientific and Technical Information (OSTI.GOV)
Stewart, R.; Gibson, D.
This paper draws heavily on the results of case studies in Bolivia, Costa Rica, and Ecuador to explain how sectoral policies have tilted land use decisions against forestry and in favor of agriculture, and to present estimates of the economic development effects of those decisions. The paper summarizes information on forests and forest industries of the three countries, and it describes the framework within which policies are designed. It presents the effects of sectoral policies on land use and forest management, and then quantifies and discusses economic costs of relevant sectoral policies. Conclusions and recommendations for policy reform are offered.
-
The EVOTION Decision Support System: Utilizing It for Public Health Policy-Making in Hearing Loss.
Katrakazas, Panagiotis; Trenkova, Lyubov; Milas, Josip; Brdaric, Dario; Koutsouris, Dimitris
2017-01-01
As Decision Support Systems start to play a significant role in decision making, especially in the field of public-health policy making, we present an initial attempt to formulate such a system in the concept of public health policy making for hearing loss related problems. Justification for the system's conceptual architecture and its key functionalities are presented. The introduction of the EVOTION DSS sets a key innovation and a basis for paradigm shift in policymaking, by incorporating relevant models, big data analytics and generic demographic data. Expected outcomes for this joint effort are discussed from a public-health point of view.
-
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.
-
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.
-
Giordano, R; Passarella, G; Uricchio, V F; Vurro, M
2007-07-01
The importance of shared decision processes in water management derives from the awareness of the inadequacy of traditional--i.e. engineering--approaches in dealing with complex and ill-structured problems. It is becoming increasingly obvious that traditional problem solving and decision support techniques, based on optimisation and factual knowledge, have to be combined with stakeholder based policy design and implementation. The aim of our research is the definition of an integrated decision support system for consensus achievement (IDSS-C) able to support a participative decision-making process in all its phases: problem definition and structuring, identification of the possible alternatives, formulation of participants' judgments, and consensus achievement. Furthermore, the IDSS-C aims at structuring, i.e. systematising the knowledge which has emerged during the participative process in order to make it comprehensible for the decision-makers and functional for the decision process. Problem structuring methods (PSM) and multi-group evaluation methods (MEM) have been integrated in the IDSS-C. PSM are used to support the stakeholders in providing their perspective of the problem and to elicit their interests and preferences, while MEM are used to define not only the degree of consensus for each alternative, highlighting those where the agreement is high, but also the consensus label for each alternative and the behaviour of individuals during the participative decision-making. The IDSS-C is applied experimentally to a decision process regarding the use of treated wastewater for agricultural irrigation in the Apulia Region (southern Italy).
-
NASA Astrophysics Data System (ADS)
Shu, Zhongbin
In recent years, it has been recognized that there is a need for a general philosophic policy to guide the regulation of societal activities that involve long-term and very long-term risks. Theses societal activities not only include the disposal of high-level radioactive wastes and global warming, but also include the disposal of non-radioactive carcinogens that never decay, such as arsenic, nickel, etc. In the past, attention has been focused on nuclear wastes. However, there has been international recognition that large quantities of non-radioactive wastes are being disposed of with little consideration of their long-term risks. The objectives of this dissertation are to present the significant long-term risks posed by non-radioactive carcinogens through case studies; develop the conceptual decision framework for setting the long-term risk policy; and illustrate that certain factors, such as discount rate, can significantly influence the results of long-term risk analysis. Therefore, the proposed decision-making framework can be used to systematically study the important policy questions on long-term risk regulations, and then subsequently help the decision-maker to make informed decisions. Regulatory disparities between high-level radioactive wastes and non-radioactive wastes are summarized. Long-term risk is rarely a consideration in the regulation of disposal of non-radioactive hazardous chemicals; and when it is, the matter has been handled in a somewhat perfunctory manner. Case studies of long-term risks are conducted for five Superfund sites that are contaminated with one or more non-radioactive carcinogens. Under the same assumptions used for the disposal of high-level radioactive wastes, future subsistence farmers would be exposed to significant individual risks, in some cases with lifetime fatality risk equal to unity. The important policy questions on long-term risk regulation are identified, and the conceptual decision-making framework to regulate long-term risk is presented. The results of decision tree analysis of cleanup alternatives for the Crystal Chemical site indicate that discount rate has profound impact on the results of the analysis and significant implication with regard to intergenerational equity. It is expected that other policy factors could have similar impacts. There is a need to use the proposed decision-making framework to systemically study those factors and make rational policy decisions accordingly.
-
Framing health and foreign policy: lessons for global health diplomacy.
Labonté, Ronald; Gagnon, Michelle L
2010-08-22
Global health financing has increased dramatically in recent years, indicative of a rise in health as a foreign policy issue. Several governments have issued specific foreign policy statements on global health and a new term, global health diplomacy, has been coined to describe the processes by which state and non-state actors engage to position health issues more prominently in foreign policy decision-making. Their ability to do so is important to advancing international cooperation in health. In this paper we review the arguments for health in foreign policy that inform global health diplomacy. These are organized into six policy frames: security, development, global public goods, trade, human rights and ethical/moral reasoning. Each of these frames has implications for how global health as a foreign policy issue is conceptualized. Differing arguments within and between these policy frames, while overlapping, can also be contradictory. This raises an important question about which arguments prevail in actual state decision-making. This question is addressed through an analysis of policy or policy-related documents and academic literature pertinent to each policy framing with some assessment of policy practice. The reference point for this analysis is the explicit goal of improving global health equity. This goal has increasing national traction within national public health discourse and decision-making and, through the Millennium Development Goals and other multilateral reports and declarations, is entering global health policy discussion. Initial findings support conventional international relations theory that most states, even when committed to health as a foreign policy goal, still make decisions primarily on the basis of the 'high politics' of national security and economic material interests. Development, human rights and ethical/moral arguments for global health assistance, the traditional 'low politics' of foreign policy, are present in discourse but do not appear to dominate practice. While political momentum for health as a foreign policy goal persists, the framing of this goal remains a contested issue. The analysis offered in this article may prove helpful to those engaged in global health diplomacy or in efforts to have global governance across a range of sectoral interests pay more attention to health equity impacts.
-
Framing health and foreign policy: lessons for global health diplomacy
2010-01-01
Global health financing has increased dramatically in recent years, indicative of a rise in health as a foreign policy issue. Several governments have issued specific foreign policy statements on global health and a new term, global health diplomacy, has been coined to describe the processes by which state and non-state actors engage to position health issues more prominently in foreign policy decision-making. Their ability to do so is important to advancing international cooperation in health. In this paper we review the arguments for health in foreign policy that inform global health diplomacy. These are organized into six policy frames: security, development, global public goods, trade, human rights and ethical/moral reasoning. Each of these frames has implications for how global health as a foreign policy issue is conceptualized. Differing arguments within and between these policy frames, while overlapping, can also be contradictory. This raises an important question about which arguments prevail in actual state decision-making. This question is addressed through an analysis of policy or policy-related documents and academic literature pertinent to each policy framing with some assessment of policy practice. The reference point for this analysis is the explicit goal of improving global health equity. This goal has increasing national traction within national public health discourse and decision-making and, through the Millennium Development Goals and other multilateral reports and declarations, is entering global health policy discussion. Initial findings support conventional international relations theory that most states, even when committed to health as a foreign policy goal, still make decisions primarily on the basis of the 'high politics' of national security and economic material interests. Development, human rights and ethical/moral arguments for global health assistance, the traditional 'low politics' of foreign policy, are present in discourse but do not appear to dominate practice. While political momentum for health as a foreign policy goal persists, the framing of this goal remains a contested issue. The analysis offered in this article may prove helpful to those engaged in global health diplomacy or in efforts to have global governance across a range of sectoral interests pay more attention to health equity impacts. PMID:20727211
-
Schwarzer, Ruth; Siebert, Uwe
2009-07-01
The objectives of this study were (i) to develop a systematic framework for describing and comparing different features of health technology assessment (HTA) agencies, (ii) to identify and describe similarities and differences between the agencies, and (iii) to draw conclusions both for producers and users of HTA in research, policy, and practice. We performed a systematic literature search, added information from HTA agencies, and developed a conceptual framework comprising eight main domains: organization, scope, processes, methods, dissemination, decision, implementation, and impact. We grouped relevant items of these domains in an evidence table and chose five HTA agencies to test our framework: DAHTA@DIMDI, HAS, IQWiG, NICE, and SBU. Item and domain similarity was assessed using the percentage of identical characteristics in pairwise comparisons across agencies. RESULTS were interpreted across agencies by demonstrating similarities and differences. Based on 306 included documents, we identified 90 characteristics of eight main domains appropriate for our framework. After applying the framework to the five agencies, we were able to show 40 percent similarities in "dissemination," 38 percent in "scope," 35 percent in "organization," 29 percent in "methods," 26 percent in "processes," 23 percent in "impact," 19 percent in "decision," and 17 percent in "implementation." We found considerably more differences than similarities of HTA features across agencies and countries. Our framework and comparison provides insights and clarification into the need for harmonization. Our findings could serve as descriptive database facilitating communication between producers and users.
-
Favorable Decision Upholding Radioactive/Hazardous Mixed Waste Storage Civil Enforcement Policy
This page contains a copy of the U.S. Court of Appeals (District of Columbia Circuit) decision in Edison Electric Institute, et al. v. EPA, No. 91-1586, which upheld the EPA's August 29, 1991, radioactive/hazardous 'mixed waste' storage civil enforcement policy
-
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…
-
Employee decision-making about disclosure of a mental disorder at work.
Toth, Kate E; Dewa, Carolyn S
2014-12-01
Fear of stigma may lead employees to choose not to disclose a mental disorder in the workplace, thereby limiting help-seeking through workplace accommodation. Research suggests that various factors are considered in making decisions related to disclosure of concealable stigmatizing attributes, yet limited literature explores such decision-making in the context of mental disorder and work. The purpose of this grounded theory study was to develop a model of disclosure specific to mental health issues in a work context. In-depth interviews were conducted with 13 employees of a post-secondary educational institution in Canada. Data were analyzed according to grounded theory methods through processes of open, selective, and theoretical coding. Findings indicated that employees begin from a default position of nondisclosure that is attributable to fear of being stigmatized in the workplace as a result of the mental disorder. In order to move from the default position, employees need a reason to disclose. The decision-making process itself is a risk-benefit analysis, during which employees weigh risks and benefits within the existing context as they assess it. The model identifies that fear of stigmatization is one of the problems with disclosure at work and describes the disclosure decision-making process. Understanding of how employees make decisions about disclosure in the workplace may inform organizational policies, practices, and programs to improve the experiences of individuals diagnosed with a mental disorder at work. The findings suggest possible intervention strategies in education, policy, and culture for reducing stigma of mental disorders in the workplace.
-
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.
-
Why don't people buy long-term-care insurance?
Cramer, Anne Theisen; Jensen, Gail A
2006-07-01
The objective of this article was to assess the determinants of an individual's decision to purchase long-term-care (LTC) insurance. This article focuses on the decision to purchase a new policy as opposed to renewing an existing policy. This study gave special consideration to the role of policy price, the savings associated with buying a policy now as opposed to later, the purchaser's education, and the purchaser's income. Using data from the 2002 Health and Retirement Survey, we estimated logistic regressions to model consumer decisions to purchase LTC insurance. We explored several alternative measures of the price of a policy. Price was a significant determinant in decisions to purchase coverage. The demand for coverage, however, was price inelastic, with elasticities ranging from -0.23 to -0.87, depending on the specification of the model. The education level and income of the purchaser were also important. This analysis provides the first estimates of price elasticity of demand for LTC insurance. The finding that demand is very price inelastic suggests that state initiatives that effectively subsidize premiums as a way of stimulating purchases are likely to meet with very limited success in the present environment.
-
Currie, Danielle J; Smith, Carl; Jagals, Paul
2018-03-27
Policy and decision-making processes are routinely challenged by the complex and dynamic nature of environmental health problems. System dynamics modelling has demonstrated considerable value across a number of different fields to help decision-makers understand and predict the dynamic behaviour of complex systems in support the development of effective policy actions. In this scoping review we investigate if, and in what contexts, system dynamics modelling is being used to inform policy or decision-making processes related to environmental health. Four electronic databases and the grey literature were systematically searched to identify studies that intersect the areas environmental health, system dynamics modelling, and decision-making. Studies identified in the initial screening were further screened for their contextual, methodological and application-related relevancy. Studies deemed 'relevant' or 'highly relevant' according to all three criteria were included in this review. Key themes related to the rationale, impact and limitation of using system dynamics in the context of environmental health decision-making and policy were analysed. We identified a limited number of relevant studies (n = 15), two-thirds of which were conducted between 2011 and 2016. The majority of applications occurred in non-health related sectors (n = 9) including transportation, public utilities, water, housing, food, agriculture, and urban and regional planning. Applications were primarily targeted at micro-level (local, community or grassroots) decision-making processes (n = 9), with macro-level (national or international) decision-making to a lesser degree. There was significant heterogeneity in the stated rationales for using system dynamics and the intended impact of the system dynamics model on decision-making processes. A series of user-related, technical and application-related limitations and challenges were identified. None of the reported limitations or challenges appeared unique to the application of system dynamics within the context of environmental health problems, but rather to the use of system dynamics in general. This review reveals that while system dynamics modelling is increasingly being used to inform decision-making related to environmental health, applications are currently limited. Greater application of system dynamics within this context is needed before its benefits and limitations can be fully understood.
-
Li, Wei; Zhang, Min; Wang, Mingyu; Han, Zhantao; Liu, Jiankai; Chen, Zhezhou; Liu, Bo; Yan, Yan; Liu, Zhu
2018-06-01
Brownfield sites pollution and remediation is an urgent environmental issue worldwide. The screening and assessment of remedial alternatives is especially complex owing to its multiple criteria that involves technique, economy, and policy. To help the decision-makers selecting the remedial alternatives efficiently, the criteria framework conducted by the U.S. EPA is improved and a comprehensive method that integrates multiple criteria decision analysis (MCDA) with numerical simulation is conducted in this paper. The criteria framework is modified and classified into three categories: qualitative, semi-quantitative, and quantitative criteria, MCDA method, AHP-PROMETHEE (analytical hierarchy process-preference ranking organization method for enrichment evaluation) is used to determine the priority ranking of the remedial alternatives and the solute transport simulation is conducted to assess the remedial efficiency. A case study was present to demonstrate the screening method in a brownfield site in Cangzhou, northern China. The results show that the systematic method provides a reliable way to quantify the priority of the remedial alternatives.
-
Intelligence-Led Risk Management for Homeland Security: A Collaborative Approach for a Common Goal
2011-12-01
phases of research into a summary analysis of the risk management policy within the homeland security enterprise. The result of the multi-goal policy ...management and policy decisions with emphasis on social aspects and efforts to support local and regional decision making, and to avoid cascading...independent variables. The second order social and economic effects of terrorism have been largely overlooked so far in accounting for the risk from
-
DOE Office of Scientific and Technical Information (OSTI.GOV)
Brogan, J. J.; Aeppli, A. E.; Brown, D. F.
2013-03-01
Freight transportation modes—truck, rail, water, air, and pipeline—each serve a distinct share of the freight transportation market. A variety of factors influence the modes chosen by shippers, carriers, and others involved in freight supply chains. Analytical methods can be used to project future modal shares, and federal policy actions could influence future freight mode choices. This report considers how these topics have been addressed in existing literature and offers insights on federal policy decisions with the potential to prompt mode choices that reduce energy use and greenhouse gas emissions.
-
Scenario workshops: A useful method for participatory water resources planning?
NASA Astrophysics Data System (ADS)
Hatzilacou, Dionyssia; Kallis, Giorgos; Mexa, Alexandra; Coccosis, Harris; Svoronou, Eleni
2007-06-01
This article reports on a scenario workshop (SW) for water resources management at the island of Naxos, Greece. The workshop was part of a European research project studying the advantages and limitations of different participatory methods in the context of the Water Framework Directive. It involved policy makers, scientists, business representatives, and citizens from different parts of the island. On the first day, participants worked to envision a sustainable development future for the island and its water resources. Discussion was inspired by four alternative water development scenarios prepared by the organizers. Participants' vision statements emphasized a diversified development path and balanced water solutions. On the second day, participants worked to plan the actions needed to realize their common vision. The SW turned out to be a good method to initiate a multipartner dialogue, to include new stakeholders in the water policy debate, and to a certain extent, to promote learning between participants. On the other hand, it did not appear well suited to resolve conflicts and aid decisions in the face of scientific complexity and uncertainty. SW seems to be a good method for the "upstream," preparatory, capacity-building tasks of a planning process but not for the production of substantive decision outputs such as consensual agreements or action plans. The Naxos experiment also raised the centrality of framing, participant selection, and facilitation in participatory processes.
-
Paul, Charlotte; Nicholls, Rachel; Priest, Patricia; McGee, Rob
2008-03-01
To test a method of assessing whether a community of interest - when well informed - would be prepared to support or reject a public policy decision about cancer screening. In particular, whether the New Zealand government should offer free mammography screening to all women aged 40-49 years. Eleven women aged from 40 to 49 years, randomly selected from the electoral roll, agreed to participate in trial of a citizens' jury: a deliberative method of gathering the views of the public. Only selected aspects of the jury method were trialled. Participants met over a day and a half to hear evidence from expert witnesses with differing views and to deliberate the verdict. All but one woman changed their minds during the jury process, and voted against government provision of mammography screening in this age group. The main reasons reported were the inaccuracy of the test and the potential for harm, and the lack of firm evidence of saving lives in this age group. A deliberative 'citizens' jury' approach is a feasible way of eliciting a well informed, considered community view about screening or other population health initiatives. Pro-screening views of affected populations may change when individuals are given accurate information and enabled to deliberate about benefits and harms. This method could be used to determine how complex benefits and harms are weighed by affected populations, particularly where experts and advocacy groups disagree.
-
Guo, P; Huang, G H
2010-03-01
In this study, an interval-parameter semi-infinite fuzzy-chance-constrained mixed-integer linear programming (ISIFCIP) approach is developed for supporting long-term planning of waste-management systems under multiple uncertainties in the City of Regina, Canada. The method improves upon the existing interval-parameter semi-infinite programming (ISIP) and fuzzy-chance-constrained programming (FCCP) by incorporating uncertainties expressed as dual uncertainties of functional intervals and multiple uncertainties of distributions with fuzzy-interval admissible probability of violating constraint within a general optimization framework. The binary-variable solutions represent the decisions of waste-management-facility expansion, and the continuous ones are related to decisions of waste-flow allocation. The interval solutions can help decision-makers to obtain multiple decision alternatives, as well as provide bases for further analyses of tradeoffs between waste-management cost and system-failure risk. In the application to the City of Regina, Canada, two scenarios are considered. In Scenario 1, the City's waste-management practices would be based on the existing policy over the next 25 years. The total diversion rate for the residential waste would be approximately 14%. Scenario 2 is associated with a policy for waste minimization and diversion, where 35% diversion of residential waste should be achieved within 15 years, and 50% diversion over 25 years. In this scenario, not only landfill would be expanded, but also CF and MRF would be expanded. Through the scenario analyses, useful decision support for the City's solid-waste managers and decision-makers has been generated. Three special characteristics of the proposed method make it unique compared with other optimization techniques that deal with uncertainties. Firstly, it is useful for tackling multiple uncertainties expressed as intervals, functional intervals, probability distributions, fuzzy sets, and their combinations; secondly, it has capability in addressing the temporal variations of the functional intervals; thirdly, it can facilitate dynamic analysis for decisions of facility-expansion planning and waste-flow allocation within a multi-facility, multi-period and multi-option context. Copyright 2009 Elsevier Ltd. All rights reserved.
-
Wirtz, Veronika; Cribb, Alan; Barber, Nick
2005-09-08
Previous theoretical and empirical work on health policy decisions about reimbursement focuses on specific rationales such as effectiveness, economic considerations and equal access for equal needs. As reimbursement decisions take place in a social and political context we propose that the analysis of decision-making should incorporate factors, which go beyond those commonly discussed. As an example we chose three health technologies (sildenafil, rivastigmine and statins) to investigate how decisions about reimbursement of medicines are made in the United Kingdom National Health Service and what factors influence these decisions. From face-to-face, in-depth interviews with a purposive sample of 20 regional and national policy makers and stakeholders we identified two dimensions of decision-making, which extend beyond the rationales conventionally cited. The first dimension relates to the role of 'subjectivity' or 'the personal' in the decisions, including personal experiences of the condition and excitement about the novelty or potential benefit of the technology-these factors affect what counts as evidence, or how evidence is interpreted, in practice. The second dimension relates to the social and political function of decision-making and broadens what counts as the relevant ends of decision-making to include such things as maintaining relationships, avoiding organisational burden, generating politically and legally defensible decisions and demonstrating the willingness to care. More importantly, we will argue that these factors should not be treated as contaminants of an otherwise rational decision-making. On the contrary we suggest that they seem relevant, reasonable and also of substantial importance in considering in decision-making. Complementing the analysis of decision-making about reimbursement by incorporating these factors could increase our understanding and potentially improve decision-making.
-
Anti-Harassment Policies in Public Schools: How Vulnerable Are They?
ERIC Educational Resources Information Center
McCarthy, Martha
2002-01-01
Analyzes recent federal court decision striking down school anti-harassment policy on First Amendment grounds. Discusses freedom of expression rights in public setting as compared to public-school context. Argues decision incorrectly relies on law developed outside public-school context, unjustifiably finds violation of First Amendment, and may…
-
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…
-
Personality Variables in Foreign Policy Decision Making Studies.
ERIC Educational Resources Information Center
Johnson, Karen S.
Described and critiqued are studies that attempt to describe how personality factors affect foreign policy decision making. Political behavior cannot be explained in terms of personality alone. Such an attempt is a psychological reductionism that ignores the chains of causation that run from underlying personality construct to social and political…
-
The Importance of Negotiation for Policy Dialogue: Latin American Training Experiences
ERIC Educational Resources Information Center
Jaramillo, Maria Clara
2004-01-01
Over the past several decades, Latin American countries have supported processes of bringing public policy decisions on education closer to the people concerned. Participation at all levels of decision-making processes has generally been highly valued. Nonetheless, these decentralization efforts came about without governments taking the necessary…
-
Great Decisions 1990: Foreign Policy Issues Facing the Nation.
ERIC Educational Resources Information Center
Hoepli, Nancy L., Ed.
The 1990 Great Decisions program, part of an annual series on foreign policy issues, is intended to create better better public understanding through information and analyses of important international issues. Current information is presented so that participants may be stimulated toward discussion, form opinions and contribute to the policy…
-
The Relevance of Theories of the Policy Process to Educational Decision-Making.
ERIC Educational Resources Information Center
Ryan, R. J.
1985-01-01
Two case studies of educational decision making are used to test the utility of some current theories of the policy-formation process; a framework for the application of these theories is proposed; and the merits of applying existing theories before seeking new paradigms are stressed. (MSE)
-
ERIC Educational Resources Information Center
Education Commission of the States, Denver, CO.
This handbook attempts to improve policy development and decision making relative to financing postsecondary education. Sections cover: (1) descriptions and comparisons of selected reports relative to recommendations for postsecondary financing; (2) position statements and/or comments on postsecondary financing from certain cooperative sponsoring…
-
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 Insurance Coverage and Take-Up: Lessons from Behavioral Economics
Baicker, Katherine; Congdon, William J; Mullainathan, Sendhil
2012-01-01
Context Millions of uninsured Americans ostensibly have insurance available to them—many at very low cost—but do not take it up. Traditional economic analysis is based on the premise that these are rational decisions, but it is hard to reconcile observed enrollment patterns with this view. The policy prescriptions that the traditional model generates may thus fail to achieve their goals. Behavioral economics, which integrates insights from psychology into economic analysis, identifies important deviations from the traditional assumptions of rationality and can thus improve our understanding of what drives health insurance take-up and improved policy design. Methods Rather than a systematic review of the coverage literature, this article is a primer for considering issues in health insurance coverage from a behavioral economics perspective, supplementing the standard model. We present relevant evidence on decision making and insurance take-up and use it to develop a behavioral approach to both the policy problem posed by the lack of health insurance coverage and possible policy solutions to that problem. Findings We found that evidence from behavioral economics can shed light on both the sources of low take-up and the efficacy of different policy levers intended to expand coverage. We then applied these insights to policy design questions for public and private insurance coverage and to the implementation of the recently enacted health reform, focusing on the use of behavioral insights to maximize the value of spending on coverage. Conclusions We concluded that the success of health insurance coverage reform depends crucially on understanding the behavioral barriers to take-up. The take-up process is likely governed by psychology as much as economics, and public resources can likely be used much more effectively with behaviorally informed policy design. PMID:22428694
-
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
-
New Methods for Crafting Locally Decision-Relevant Scenarios
NASA Astrophysics Data System (ADS)
Lempert, R. J.
2015-12-01
Scenarios can play an important role in helping decision makers to imagine future worlds, both good and bad, different than the one with which we are familiar and to take concrete steps now to address the risks generated by climate change. At their best, scenarios can effectively represent deep uncertainty; integrate over multiple domains; and enable parties with different expectation and values to expand the range of futures they consider, to see the world from different points of view, and to grapple seriously with the potential implications of surprising or inconvenient futures. These attributes of scenario processes can prove crucial in helping craft effective responses to climate change. But traditional scenario methods can also fail to overcome difficulties related to choosing, communicating, and using scenarios to identify, evaluate, and reach consensus on appropriate policies. Such challenges can limit scenario's impact in broad public discourse. This talk will demonstrate how new decision support approaches can employ new quantitative tools that allow scenarios to emerge from a process of deliberation with analysis among stakeholders, rather than serve as inputs to it, thereby increasing the impacts of scenarios on decision making. This talk will demonstrate these methods in the design of a decision support tool to help residents of low lying coastal cities grapple with the long-term risks of sea level rise. In particular, this talk will show how information from the IPCC SSP's can be combined with local information to provide a rich set of locally decision-relevant information.
-
Horwitz, Joshua; Grilley, Anna; Kennedy, Orla
2015-06-01
In a policy arena characterized by polarized debate, such as the consideration of legal interventions to prevent gun violence, research evidence is an important tool to inform decision-making processes. However, unless the evidence is communicated to stakeholders who can influence policy decisions, the research will often remain an academic exercise with little practical impact. The Educational Fund to Stop Violence's process of "unfreezing" individual perceptions and conventional interpretations of the relationship between mental illness and gun violence, forming a consensus, and translating this knowledge to stakeholders through state discussion forums is one way to inform policy change. The recent passage of gun violence prevention legislation in California provides an example of successfully closing the knowledge translation gap between research and decision-making processes. Copyright © 2015 John Wiley & Sons, Ltd.
-
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.
-
Clavier, Carole; Potvin, Louise
2017-01-01
Background Since the signing of the Oslo Ministerial Declaration in 2007, the idea that foreign policy formulation should include health considerations has gained traction on the United Nations agenda as evidenced by annual General Assembly resolutions on global health and foreign policy. The adoption of national policies on global health (NPGH) is one way that some member states integrate health and foreign policymaking. This paper explores what these policies intend to do and how countries plan to do it. Methods Using a most similar systems design, we carried out a comparative study of two policy documents formally adopted in 2012. We conducted a directed qualitative content analysis of the Norwegian White Paper on Global health in foreign and development policy and the Swiss Health Foreign Policy using Schneider and Ingram's policy design framework. After replicating analysis methods for each document, we analysed them side by side to explore the commonalities and differences across elements of NPGH design. Results Analyses indicate that NPGH expect to influence change outside their borders. Targeting the international level, they aim to affect policy venues, multilateral partnerships and international institutions. Instruments for supporting desired changes are primarily those of health diplomacy, proposed as a tool for negotiating interests and objectives for global health between multiple sectors, used internally in Switzerland and externally in Norway. Conclusion Findings suggest that NPGH designs contribute to constructing the global health governance system by identifying it as a policy target, and policy instruments may elude the health sector actors unless implementation rules explicitly include them. Research should explore how future NPGH designs may construct different kinds of targets as politicised groups of actors on which national governments seek to exercise influence for global health decision-making. PMID:28589007
-
Personalized health care and health information technology policy: an exploratory analysis.
Wald, Jonathan S; Shapiro, Michael
2013-01-01
Personalized healthcare (PHC) is envisioned to enhance clinical practice decision-making using new genome-driven knowledge that tailors diagnosis, treatment, and prevention to the individual patient. In 2012, we conducted a focused environmental scan and informal interviews with fifteen experts to anticipate how PHC might impact health Information Technology (IT) policy in the United States. Findings indicatedthat PHC has a variable impact on current clinical practice, creates complex questions for providers, patients, and policy-makers, and will require a robust health IT infrastructure with advanced data architecture, clinical decision support, provider workflow tools, and re-use of clinical data for research. A number of health IT challenge areas were identified, along with five policy areas including: interoperable clinical decision support, standards for patient values and preferences, patient engagement, data transparency, and robust privacy and security.
-
The impact of uncertainty on optimal emission policies
NASA Astrophysics Data System (ADS)
Botta, Nicola; Jansson, Patrik; Ionescu, Cezar
2018-05-01
We apply a computational framework for specifying and solving sequential decision problems to study the impact of three kinds of uncertainties on optimal emission policies in a stylized sequential emission problem.We find that uncertainties about the implementability of decisions on emission reductions (or increases) have a greater impact on optimal policies than uncertainties about the availability of effective emission reduction technologies and uncertainties about the implications of trespassing critical cumulated emission thresholds. The results show that uncertainties about the implementability of decisions on emission reductions (or increases) call for more precautionary policies. In other words, delaying emission reductions to the point in time when effective technologies will become available is suboptimal when these uncertainties are accounted for rigorously. By contrast, uncertainties about the implications of exceeding critical cumulated emission thresholds tend to make early emission reductions less rewarding.
-
Health Technology Assessment and Its Use in Drug Policies in China.
Zhen, Xuemei; Sun, Xueshan; Dong, Hengjin
2018-05-02
To review drug policies, health technology assessment (HTA), and HTA's use in drug policies in China, to further improve the quality and efficiency of drugs. This study draws on multiple methods. A systematic review of the literature, review of Chinese government documents and statistical handbooks, and authors' experiences in drug policies and HTA in China were combined to achieve the objective. Of 571 studies identified in the initial search, 14 eligible articles (6 English, 8 Chinese) were finally included. On the Web site of the National Health and Family Planning Commission, the National Development and Reform Commission, and the Ministry of Human Resources and Social Security, we found that HTA or pharmacoeconomics evaluation is mentioned in recent years and its frequency has been increasing; however, there was not one hit about HTA or PE on the Web site of China Food and Drug Administration. The decision makers have realized the importance and value of HTA and have tried to integrate HTA into drug policies and regulations. However, the application of HTA findings to drug policymaking is not yet widespread and there are a number of challenges in using HTA in China. Therefore, it is necessary to establish a national HTA commission and develop pharmacoeconomics guidelines to support the use of HTA in decision making. Moreover, the most important steps are to encourage technology innovation, groom more HTA experts, and build reliable databases in China. Copyright © 2018. Published by Elsevier Inc.
-
Speed versus accuracy in decision-making ants: expediting politics and policy implementation.
Franks, Nigel R; Dechaume-Moncharmont, François-Xavier; Hanmore, Emma; Reynolds, Jocelyn K
2009-03-27
Compromises between speed and accuracy are seemingly inevitable in decision-making when accuracy depends on time-consuming information gathering. In collective decision-making, such compromises are especially likely because information is shared to determine corporate policy. This political process will also take time. Speed-accuracy trade-offs occur among house-hunting rock ants, Temnothorax albipennis. A key aspect of their decision-making is quorum sensing in a potential new nest. Finding a sufficient number of nest-mates, i.e. a quorum threshold (QT), in a potential nest site indicates that many ants find it suitable. Quorum sensing collates information. However, the QT is also used as a switch, from recruitment of nest-mates to their new home by slow tandem running, to recruitment by carrying, which is three times faster. Although tandem running is slow, it effectively enables one successful ant to lead and teach another the route between the nests. Tandem running creates positive feedback; more and more ants are shown the way, as tandem followers become, in turn, tandem leaders. The resulting corps of trained ants can then quickly carry their nest-mates; but carried ants do not learn the route. Therefore, the QT seems to set both the amount of information gathered and the speed of the emigration. Low QTs might cause more errors and a slower emigration--the worst possible outcome. This possible paradox of quick decisions leading to slow implementation might be resolved if the ants could deploy another positive-feedback recruitment process when they have used a low QT. Reverse tandem runs occur after carrying has begun and lead ants back from the new nest to the old one. Here we show experimentally that reverse tandem runs can bring lost scouts into an active role in emigrations and can help to maintain high-speed emigrations. Thus, in rock ants, although quick decision-making and rapid implementation of choices are initially in opposition, a third recruitment method can restore rapid implementation after a snap decision. This work reveals a principle of widespread importance: the dynamics of collective decision-making (i.e. the politics) and the dynamics of policy implementation are sometimes intertwined, and only by analysing the mechanisms of both can we understand certain forms of adaptive organization.
-
Lotto, Robyn; Smith, Lucy K; Armstrong, Natalie
2017-01-01
Objective To explore clinicians’ perspectives on supporting parents’ decision-making following diagnosis of a severe congenital anomaly, and how this is shaped by current policy. Methods This paper reports data collated as part of a larger project examining parents’ decision-making following antenatal diagnosis. The focus of this paper is the data arising from semistructured interviews conducted with 18 clinicians, with findings further supported by data generated from consultations between clinicians and parents. All interviews and consultations were audio-recorded and transcribed verbatim, with analysis based on the constant comparative approach. Results Three key themes emerged which together shape the practice of clinicians working in this area: first, the law governing termination of pregnancy (TOP) and how clinicians believe this influences the context in which decisions about whether to terminate or continue an affected pregnancy are made; second, approaches to the management of cases seen as particularly challenging; and third, how clinicians understand their role when working with parents. These themes combine to create a strong desire on the part of clinicians for parents to engage in a particular ‘rational’ form of decision-making and to be able to demonstrate the enactment of this. This is seen as important in order to ensure the ‘right’ decision has been reached and, particularly when the decision is to terminate, will withstand possible scrutiny. Conclusions The policy context in which these decisions are made strongly shapes how clinicians practise and what they want to see from the parents with whom they work. The ways in which they seek to overcome the difficulties in interpreting the law may result in variations in the offer of late TOP, both between and within units. This may inadvertently affect the options available to women least able to engage in this idealised form of decision-making. PMID:28588110
-
Manipulation, salience, and nudges.
Noggle, Robert
2018-03-01
Cass Sunstein and Richard Thaler recommend helping people make better decisions by employing 'nudges', which they define as noncoercive methods of influencing choice for the better. Not surprisingly, healthcare practitioners and public policy professionals have become interested in whether nudges might be a promising method of improving health-related behaviors without resorting to heavy-handed methods such as coercion, deception, or government regulation. Many nudges seem unobjectionable as they merely improve the quality and quantity available for the decision-maker. However, other nudges influence decision-making in ways that do not involve providing more and better information. Nudges of this sort raise concerns about manipulation. This paper will focus on noninformational nudges that operate by changing the salience of various options. It will survey two approaches to understanding manipulation, one which sees manipulation as a kind of pressure, and one that sees it as a kind of trickery. On the pressure view, salience nudges do not appear to be manipulative. However, on the trickery view (which the author favors), salience nudges will be manipulative if they increase the salience so that it is disproportionate to that fact's true relevance and importance for the decision at hand. By contrast, salience nudges will not be manipulative if they merely highlight some fact that is true and important for the decision at hand. The paper concludes by providing examples of both manipulative and nonmanipulative salience nudges. © 2017 John Wiley & Sons Ltd.
-
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).
-
Page, Andrew; Atkinson, Jo-An; Heffernan, Mark; McDonnell, Geoff; Hickie, Ian
2017-04-27
Dynamic simulation modelling is increasingly being recognised as a valuable decision-support tool to help guide investments and actions to address complex public health issues such as suicide. In particular, participatory system dynamics (SD) modelling provides a useful tool for asking high-level 'what if' questions, and testing the likely impacts of different combinations of policies and interventions at an aggregate level before they are implemented in the real world. We developed an SD model for suicide prevention in Australia, and investigated the hypothesised impacts over the next 10 years (2015-2025) of a combination of current intervention strategies proposed for population interventions in Australia: 1) general practitioner (GP) training, 2) coordinated aftercare in those who have attempted suicide, 3) school-based mental health literacy programs, 4) brief-contact interventions in hospital settings, and 5) psychosocial treatment approaches. Findings suggest that the largest reductions in suicide were associated with GP training (6%) and coordinated aftercare approaches (4%), with total reductions of 12% for all interventions combined. This paper highlights the value of dynamic modelling methods for managing complexity and uncertainty, and demonstrates their potential use as a decision-support tool for policy makers and program planners for community suicide prevention actions.
-
Mayer, Martin; Kenter, Robert; Morris, John C
2015-01-01
States' policy decisions regarding the Affordable Care Act (ACA) of 2010 have often been explained as predominantly, if not solely, partisan. Might rival explanations also apply? Using a cross-sectional 50-state regression model, we studied standard political variables coupled with public-health indicators. This work differs from existing research by employing a dependent variable of five additive measures of ACA support, examining the impact of both political and socioeconomic indicators on state policy decisions. Expanding on recent empirical studies with our more nuanced additive index of support measures, we found that same-party control of a state's executive and legislative branches was indeed by far the single best predictor of policy decisions. Public-health indicators, overwhelmed by partisan effect, did not sufficiently explain state policy choice. This result does not allay the concerns that health policy has become synonymous with health politics and that health politics now has little to do with health itself.
-
NASA Astrophysics Data System (ADS)
Pan, Wei; Wang, Xianjia; Zhong, Yong-guang; Yu, Lean; Jie, Cao; Ran, Lun; Qiao, Han; Wang, Shouyang; Xu, Xianhao
2012-06-01
Data communication service has an important influence on e-commerce. The key challenge for the users is, ultimately, to select a suitable provider. However, in this article, we do not focus on this aspect but the viewpoint and decision-making of providers for order allocation and pricing policy when orders exceed service capacity. It is a multiple criteria decision-making problem such as profit and cancellation ratio. Meanwhile, we know realistic situations in which much of the input information is uncertain. Thus, it becomes very complex in a real-life environment. In this situation, fuzzy sets theory is the best tool for solving this problem. Our fuzzy model is formulated in such a way as to simultaneously consider the imprecision of information, price sensitive demand, stochastic variables, cancellation fee and the general membership function. For solving the problem, a new fuzzy programming is developed. Finally, a numerical example is presented to illustrate the proposed method. The results show that it is effective for determining the suitable order set and pricing policy of provider in data communication service with different quality of service (QoS) levels.
-
Scientific Decision Making, Policy Decisions, and the Obesity Pandemic
Hebert, James R.; Allison, David B.; Archer, Edward; Lavie, Carl J.; Blair, Steven N.
2013-01-01
Rising and epidemic rates of obesity in many parts of the world are leading to increased suffering and economic stress from diverting health care resources to treating a variety of serious, but preventable, chronic diseases etiologically linked to obesity, particularly type 2 diabetes mellitus and cardiovascular diseases. Despite decades of research into the causes of the obesity pandemic, we seem to be no nearer to a solution now than when the rise in body weights was first chronicled decades ago. The case is made that impediments to a clear understanding of the nature of the problem occur at many levels. These obstacles begin with defining obesity and include lax application of scientific standards of review, tenuous assumption making, flawed measurement and other methods, constrained discourse limiting examination of alternative explanations of cause, and policies that determine funding priorities. These issues constrain creativity and stifle expansive thinking that could otherwise advance the field in preventing and treating obesity and its complications. Suggestions are made to create a climate of open exchange of ideas and redirection of policies that can remove the barriers that prevent us from making material progress in solving a pressing major public health problem of the early 21st century. PMID:23726399
-
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.
-
Policies and practices of beach monitoring in the Great Lakes, USA: a critical review
Nevers, Meredith B.; Whitman, Richard L.
2010-01-01
Beaches throughout the Great Lakes are monitored for fecal indicator bacteria (typically Escherichia coli) in order to protect the public from potential sewage contamination. Currently, there is no universal standard for sample collection and analysis or results interpretation. Monitoring policies are developed by individual beach management jurisdictions, and applications are highly variable across and within lakes, states, and provinces. Extensive research has demonstrated that sampling decisions for time, depth, number of replicates, frequency of sampling, and laboratory analysis all influence the results outcome, as well as calculations of the mean and interpretation of the results in policy decisions. Additional shortcomings to current monitoring approaches include appropriateness and reliability of currently used indicator bacteria and the overall goal of these monitoring programs. Current research is attempting to circumvent these complex issues by developing new tools and methods for beach monitoring. In this review, we highlight the variety of sampling routines used across the Great Lakes and the extensive body of research that challenges comparisons among beaches. We also assess the future of Great Lakes monitoring and the advantages and disadvantages of establishing standards that are evenly applied across all beaches.
-
POLICY VARIATION, LABOR SUPPLY ELASTICITIES, AND A STRUCTURAL MODEL OF RETIREMENT
MANOLI, DAY; MULLEN, KATHLEEN J.; WAGNER, MATHIS
2015-01-01
This paper exploits a combination of policy variation from multiple pension reforms in Austria and administrative data from the Austrian Social Security Database. Using the policy changes for identification, we estimate social security wealth and accrual elasticities in individuals’ retirement decisions. Next, we use these elasticities to estimate a dynamic programming model of retirement decisions. Finally, we use the estimated model to examine the labor supply and welfare consequences of potential social security reforms. PMID:26472916
-
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.
-
Vohra, Amit; Ladyshewsky, Richard; Trumble, Stephen
2017-11-28
Objective This article critically appraises the range of personal, professional and social factors that affect the choice of speciality across medical students, prevocational doctors, general practice registrars and general practitioners. Methods This qualitative study applied constructs from the fields of decision theory and career theory to better understand the complex nature of choosing a speciality. In all, 47 in-depth interviews were conducted with participants at different stages of their career cycle. The data was codified and analysed using NVivo to identify key factors that influenced speciality choice. Results The research identified 77 individual findings influencing general practice as a choice of medical speciality. These were distilled into a matrix to show that factors such as money, prestige and peer interaction did not have a compelling effect, whereas clinical and academic role models, flexibility, work-life balance, scope of practice, connection with patients, training environment and practical opportunities did. Conclusion The findings indicate that the decision in relation to the choice of medical speciality is a complex cognitive process that is undertaken within a personal, social and professional context particular to each individual. What is known about the topic? Current literature aims to quantify changes in attitudes towards choice of speciality or the effect of particular variables in isolation while ignoring the complexity of this decision process and how the numerous variables compare with each other. What does this paper add? The present study is the first intergenerational research on this topic in the Australian context and the paper dismisses the role of prestige and remuneration as key drivers of choice in picking general practice as a speciality, noting that money is merely a 'hygiene factor'. What are the implications for policy makers? A policy framework outlining 10 key principles is presented to assist policy makers seeking to affect workforce outcomes by applying policy levers to influence doctors' choice of speciality.
-
Parker, Lisa; Carter, Stacy; Williams, Jane; Pickles, Kristen; Barratt, Alexandra
2017-11-01
The ethical principles of avoiding harm and supporting autonomy are relevant to cancer-screening policy. We argue that more attention needs to be given to implementing them. Cancer screening may deliver excessive harms due to low-value or outdated screening programs and from poorly communicated screening options that leave people with heavy burdens of decision-making. Autonomy is inadequately supported due to limited opportunities for people to understand downsides of screening and because of institutional and societal pressures in favour of screening. Members of screening policy committees may have differing ideas about the goals of screening or have conflicts of interest that prevent them from addressing policy questions in a neutral way. We recommend the following: 1. Committees should be required to discern and discuss the values of individual members and the wider public; 2. Committee membership and voting procedures should be more carefully constructed to reduce the likelihood that committee members' interests are placed above public interests; 3. Committees should explain their policy decisions with reference to values as well as evidence, so that values considered in decision-making can be interrogated and challenged if necessary. These changes would increase the likelihood that cancer-screening policy decisions are in keeping with public views about what is important. Copyright © 2017 Elsevier Ltd. All rights reserved.
-
Bairami, Firoozeh; Soleymani, Fatemeh; Rashidian, Arash
2016-01-01
Injection is one of the most common medical procedures in the health sector. Annually up to 16 billion injections are prescribed in low- and middle-income countries (LMICs), many of them are not necessary for the patients, increase the healthcare costs and may result in side effects. Currently over 40% of outpatient prescriptions in Iran contain at least one injectable medicine. To address the issue, a working group was established (August 2014 to April 2015) to provide a comprehensive policy brief to be used by national decision-makers. This report is the extract of methods that were followed and the main policy options for improving injectable medicines prescribing in outpatient services. Thirty-three potential policy options were developed focusing on different stakeholders. The panel reached consensus on seven policy options, noting effectiveness, cost, durability, and feasibility of each policy. The recommended policy options are targeted at patients and public (2 policies), insurers (2), physicians (1), pharmacies (1), and the Ministry of Health and Medical Education (MoHME) (1). PMID:27239881
-
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
-
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ackermann, Mark R.; Hayden, Nancy Kay; Backus, George A.
Most national policy decisions are complex with a variety of stakeholders, disparate interests and the potential for unintended consequences. While a number of analytical tools exist to help decision makers sort through the mountains of data and myriad of options, decision support teams are increasingly turning to complexity science for improved analysis and better insight into the potential impact of policy decisions. While complexity science has great potential, it has only proven useful in limited case s and when properly applied. In advance of more widespread use, a national - level effort to refine complexity science and more rigorously establishmore » its technical underpinnings is recommended.« less
-
ERIC Educational Resources Information Center
Yates, Donald W.
2009-01-01
This investigation developed, tested, and prototyped a Fuzzy Inference System (FIS) that would assist decision makers in identifying schools that may have been misclassified by existing Adequate Yearly Progress (AYP) methods. This prototype was then used to evaluate Louisiana elementary schools using published school data for Academic Year 2004. …
-
Wildlife habitats of the north coast of California: new techniques for extensive forest inventory.
Janet L. Ohmann
1992-01-01
A study was undertaken to develop methods for extensive inventory and analysis of wildlife habitats. The objective was to provide information about amounts and conditions of wildlife habitats from extensive, sample based inventories so that wildlife can be better considered in forest planning and policy decisions at the regional scale. The new analytical approach...
-
Federal Register 2010, 2011, 2012, 2013, 2014
2010-11-04
... the E.U.'s policy decision on U.S. trades, and will be incorporated into the Commission's research for... concerning the parameters of the study, the proposed research methods, and the possibility of future... particular. NOI Participation The Commission's research efforts, under the E.U. Study, are intended to...
-
Ten Things New Teachers Need To Succeed. A SkyLight Guide.
ERIC Educational Resources Information Center
Fogarty, Robin
This guide for novice teachers includes ten sections: (1) "A Knowing Colleague as Counsel...About the Policies, Practices, and Politics!" (proactively seek a mentor); (2) "A Place Called 'My Room' for Students To Grow, To Groom, and To Zoom!" (create a climate that fosters growth and pride); (3) "A Method for Managing 1,500 Decisions: On Your…
-
Modified Policy-Delphi study for exploring obesity prevention priorities
Haynes, Emily; Palermo, Claire; Reidlinger, Dianne P
2016-01-01
Introduction Until now, industry and government stakeholders have dominated public discourse about policy options for obesity. While consumer involvement in health service delivery and research has been embraced, methods which engage consumers in health policy development are lacking. Conflicting priorities have generated ethical concern around obesity policy. The concept of ‘intrusiveness’ has been applied to policy decisions in the UK, whereby ethical implications are considered through level of intrusiveness to choice; however, the concept has also been used to avert government regulation to address obesity. The concept of intrusiveness has not been explored from a stakeholder's perspective. The aim is to investigate the relevance of intrusiveness and autonomy to health policy development, and to explore consensus on obesity policy priorities of under-represented stakeholders. Methods and analysis The Policy-Delphi technique will be modified using the James Lind Alliance approach to collaborative priority setting. A total of 60 participants will be recruited to represent three stakeholder groups in the Australian context: consumers, public health practitioners and policymakers. A three-round online Policy-Delphi survey will be undertaken. Participants will prioritise options informed by submissions to the 2009 Australian Government Inquiry into Obesity, and rate the intrusiveness of those proposed. An additional round will use qualitative methods in a face-to-face discussion group to explore stakeholder perceptions of the intrusiveness of options. The novelty of this methodology will redress the balance by bringing the consumer voice forward to identify ethically acceptable obesity policy options. Ethics and dissemination Ethical approval was granted by the Bond University Health Research Ethics Committee. The findings will inform development of a conceptual framework for analysing and prioritising obesity policy options, which will be relevant internationally and to ethical considerations of wider public health issues. The findings will be disseminated through peer-reviewed publications, conference presentations and collaborative platforms of policy and science. PMID:27601495
-
Integrated system dynamics toolbox for water resources planning.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Reno, Marissa Devan; Passell, Howard David; Malczynski, Leonard A.
2006-12-01
Public mediated resource planning is quickly becoming the norm rather than the exception. Unfortunately, supporting tools are lacking that interactively engage the public in the decision-making process and integrate over the myriad values that influence water policy. In the pages of this report we document the first steps toward developing a specialized decision framework to meet this need; specifically, a modular and generic resource-planning ''toolbox''. The technical challenge lies in the integration of the disparate systems of hydrology, ecology, climate, demographics, economics, policy and law, each of which influence the supply and demand for water. Specifically, these systems, their associatedmore » processes, and most importantly the constitutive relations that link them must be identified, abstracted, and quantified. For this reason, the toolbox forms a collection of process modules and constitutive relations that the analyst can ''swap'' in and out to model the physical and social systems unique to their problem. This toolbox with all of its modules is developed within the common computational platform of system dynamics linked to a Geographical Information System (GIS). Development of this resource-planning toolbox represents an important foundational element of the proposed interagency center for Computer Aided Dispute Resolution (CADRe). The Center's mission is to manage water conflict through the application of computer-aided collaborative decision-making methods. The Center will promote the use of decision-support technologies within collaborative stakeholder processes to help stakeholders find common ground and create mutually beneficial water management solutions. The Center will also serve to develop new methods and technologies to help federal, state and local water managers find innovative and balanced solutions to the nation's most vexing water problems. The toolbox is an important step toward achieving the technology development goals of this center.« less
-
Management Matters. Selection Policies
ERIC Educational Resources Information Center
Pappas, Marjorie L.
2003-01-01
One of the most important policy documents for a school library media center is the selection policy or the collection development policy. A well-developed selection policy provides a rationale for the selection decisions made by the school library media specialist. A selection policy represents the criteria against which a challenged book is…
-
Macroeconomic policies and increasing social-health inequality in Iran.
Zaboli, Rouhollah; Seyedin, Seyed Hesam; Malmoon, Zainab
2014-08-01
Health is a complex phenomenon that can be studied from different approaches. Despite a growing research in the areas of Social Determinants of Health (SDH) and health equity, effects of macroeconomic policies on the social aspect of health are unknown in developing countries. This study aimed to determine the effect of macroeconomic policies on increasing of the social-health inequality in Iran. This study was a mixed method research. The study population consisted of experts dealing with social determinants of health. A purposive, stratified and non-random sampling method was used. Semi-structured interviews were conducted to collect the data along with a multiple attribute decision-making method for the quantitative phase of the research in which the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed for prioritization. The NVivo and MATLAB softwares were used for data analysis. Seven main themes for the effect of macroeconomic policies on increasing the social-health inequality were identified. The result of TOPSIS approved that the inflation and economic instability exert the greatest impact on social-health inequality, with an index of 0.710 and the government policy in paying the subsidies with a 0.291 index has the lowest impact on social-health inequality in the country. It is required to invest on the social determinants of health as a priority to reduce health inequality. Also, evaluating the extent to which the future macroeconomic policies impact the health of population is necessary.
-
THE CLEAN ENERGY-ENVIRONMENT GUIDE TO ACTION ...
The Guide to Action identifies and describes sixteen clean energy policies and strategies that are delivering economic and environmental results for states. For each policy, the Guide describes: Objectives and benefits of the policy; Examples of states that have implemented the policy; Responsibilities of key players at the state level, including typical roles of the main stakeholders; Opportunities to coordinate implementation with other federal and state policies, partnerships and technical assistance resources; Best practices for policy design, implementation, and evaluation, including state examples; Action steps for states to take when adopting or modifying their clean energy policies, based on existing state experiences; Resources for additional information on individual state policies, legislative and regulatory language, and analytical tools and methods. States participating in the Clean Energy-Environment State Partnership Program will use the Guide to Action to: Develop their own Clean Energy-Environment Action Plan that is appropriate to their state; Identify the roles and responsibilities of key decision-makers, such as environmental regulators, state legislatures, public utility commissioners, and state energy offices; Access and apply technical assistance resources, models, and tools available for state-specific analyses and program implementation; and Learn from each other as they develop their own clean energy programs and policies.
-
Haby, Michelle M; Chapman, Evelina; Clark, Rachel; Barreto, Jorge; Reveiz, Ludovic; Lavis, John N
2016-11-25
Rapid reviews have the potential to overcome a key barrier to the use of research evidence in decision making, namely that of the lack of timely and relevant research. This rapid review of systematic reviews and primary studies sought to answer the question: What are the best methodologies to enable a rapid review of research evidence for evidence-informed decision making in health policy and practice? This rapid review utilised systematic review methods and was conducted according to a pre-defined protocol including clear inclusion criteria (PROSPERO registration: CRD42015015998). A comprehensive search strategy was used, including published and grey literature, written in English, French, Portuguese or Spanish, from 2004 onwards. Eleven databases and two websites were searched. Two review authors independently applied the eligibility criteria. Data extraction was done by one reviewer and checked by a second. The methodological quality of included studies was assessed independently by two reviewers. A narrative summary of the results is presented. Five systematic reviews and one randomised controlled trial (RCT) that investigated methodologies for rapid reviews met the inclusion criteria. None of the systematic reviews were of sufficient quality to allow firm conclusions to be made. Thus, the findings need to be treated with caution. There is no agreed definition of rapid reviews in the literature and no agreed methodology for conducting rapid reviews. While a wide range of 'shortcuts' are used to make rapid reviews faster than a full systematic review, the included studies found little empirical evidence of their impact on the conclusions of either rapid or systematic reviews. There is some evidence from the included RCT (that had a low risk of bias) that rapid reviews may improve clarity and accessibility of research evidence for decision makers. Greater care needs to be taken in improving the transparency of the methods used in rapid review products. There is no evidence available to suggest that rapid reviews should not be done or that they are misleading in any way. We offer an improved definition of rapid reviews to guide future research as well as clearer guidance for policy and practice.
-
NASA Astrophysics Data System (ADS)
Rolita, Lisa; Surarso, Bayu; Gernowo, Rahmat
2018-02-01
In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.
-
Decision-Making for Induced Abortion in the Accra Metropolis, Ghana.
Gbagbo, Fred Yao; Amo-Adjei, Joshua; Laar, Amos
2015-06-01
Decision-making for induced abortion can be influenced by various circumstances including those surrounding onset of a pregnancy. There are various dimensions to induced abortion decision-making among women who had an elective induced abortion in a cosmopolitan urban setting in Ghana, which this paper examined. A cross-sectional mixed method study was conducted between January and December 2011 with 401 women who had undergone an abortion procedure in the preceding 12 months. Whereas the quantitative data were analysed with descriptive statistics, thematic analysis was applied to the qualitative data. The study found that women of various profiles have different reasons for undergoing abortion. Women considered the circumstances surrounding onset of pregnancy, person responsible for the pregnancy, gestational age at decision to terminate, and social, economic and medical considerations. Pressures from partners, career progression and reproductive intentions of women reinforced these reasons. First time pregnancies were mostly aborted regardless of gestational ages and partners' consent. Policies and programmes targeted at safe abortion care are needed to guide informed decisions on induced abortions.
-
Approach of Decision Making Based on the Analytic Hierarchy Process for Urban Landscape Management
NASA Astrophysics Data System (ADS)
Srdjevic, Zorica; Lakicevic, Milena; Srdjevic, Bojan
2013-03-01
This paper proposes a two-stage group decision making approach to urban landscape management and planning supported by the analytic hierarchy process. The proposed approach combines an application of the consensus convergence model and the weighted geometric mean method. The application of the proposed approach is shown on a real urban landscape planning problem with a park-forest in Belgrade, Serbia. Decision makers were policy makers, i.e., representatives of several key national and municipal institutions, and experts coming from different scientific fields. As a result, the most suitable management plan from the set of plans is recognized. It includes both native vegetation renewal in degraded areas of park-forest and continued maintenance of its dominant tourism function. Decision makers included in this research consider the approach to be transparent and useful for addressing landscape management tasks. The central idea of this paper can be understood in a broader sense and easily applied to other decision making problems in various scientific fields.
-
Approach of decision making based on the analytic hierarchy process for urban landscape management.
Srdjevic, Zorica; Lakicevic, Milena; Srdjevic, Bojan
2013-03-01
This paper proposes a two-stage group decision making approach to urban landscape management and planning supported by the analytic hierarchy process. The proposed approach combines an application of the consensus convergence model and the weighted geometric mean method. The application of the proposed approach is shown on a real urban landscape planning problem with a park-forest in Belgrade, Serbia. Decision makers were policy makers, i.e., representatives of several key national and municipal institutions, and experts coming from different scientific fields. As a result, the most suitable management plan from the set of plans is recognized. It includes both native vegetation renewal in degraded areas of park-forest and continued maintenance of its dominant tourism function. Decision makers included in this research consider the approach to be transparent and useful for addressing landscape management tasks. The central idea of this paper can be understood in a broader sense and easily applied to other decision making problems in various scientific fields.
-
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.
-
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...
-
Survey Says: Data to Guide Policy Decisions
ERIC Educational Resources Information Center
Thompson, Edgar H.; Stainback, George H.; Stovall, James G.
2007-01-01
Superintendents and school boards should get the most accurate information they can when making policy decisions--and that means data, not anecdotes and impressions. This article discusses factors to consider in conducting a survey. A good survey starts with the basics: Ask the right questions of a good sampling of the defined population; take…
-
Financing Early Care and Education: Funding and Policy Choices in a Changing Fiscal Environment.
ERIC Educational Resources Information Center
Clothier, Steffanie; Clemens, Beth; Poppe, Julie
Because of an increasingly challenging fiscal climate, state lawmakers are faced with making tough financial decisions regarding their early childhood systems. This document describes and examines various funding sources used when making decisions about possible early childhood initiatives combined with policy choices that may be considered in…
-
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…
-
Operationalizing Lawfare: Opportunity and Risk
2017-05-25
will involve decision dilemmas that affect not only the military but American society and policy. 15. SUBJECT TERMS Lawfare; Information...involve decision dilemmas that affect not only the military but American society and policy...competing interests at play in the situation. News reports describe how, “under American law, the US Defense Department has legal powers to exercise
-
ERIC Educational Resources Information Center
Bessell, Sharon
2009-01-01
This article explores the ideas about children's participation in decision-making held by government officials and non-government representatives engaged in promoting children's participation in the Philippines. It suggests that the ideas that policy-makers and service deliverers hold about children's participation are heterogeneous, diverse and…
-
Requisite to the development and application of sound waste management policies, decision-makers must discern the impact of a given waste management approach upon both human and ecological receptors. To configure such policies solely upon the assessment of impact to humans, for ...
-
ERIC Educational Resources Information Center
Jackson, Karen M.
2012-01-01
This study outlines the relationship between teachers' and principals' perceptions of their influence over policies within their school and teachers' actual employment decisions--specifically, teachers' decisions to stay (continue their affiliation with their school), to move (transfer to a different school), or to leave the teaching profession.…
-
Krieger, Miriam; Felder, Stefan
2013-06-19
Rather than conforming to the assumption of perfect rationality in neoclassical economic theory, decision behavior has been shown to display a host of systematic biases. Properly understood, these patterns can be instrumentalized to improve outcomes in the public realm. We conducted a laboratory experiment to study whether decisions over health insurance policies are subject to status quo bias and, if so, whether experience mitigates this framing effect. Choices in two treatment groups with status quo defaults are compared to choices in a neutrally framed control group. A two-step design features sorting of subjects into the groups, allowing us to control for selection effects due to risk preferences. The results confirm the presence of a status quo bias in consumer choices over health insurance policies. However, this effect of the default framing does not persist as subjects repeat this decision in later periods of the experiment. Our results have implications for health care policy, for example suggesting that the use of non-binding defaults in health insurance can facilitate the spread of co-insurance policies and thereby help contain health care expenditure.
-
Ethics committees, organ transplantation and public policy.
Dickens, Bernard M
1992-01-01
It is clear that ethics committees face many dilemmas in developing sound public policy on organ transplantation through their roles in serving their institutions and their communities. With conscientiousnes and good faith, different committees may adopt different approaches to the same issue, and arrive at different solutions when subscribing to the same approach. It is valuable that committee members should be aware of other committees' approaches and disclose the reasons for their own in a frank, non-defensive way. It should also be remembered that a measure of legitimacy can attach to ethics committees' decisions because of the integrity with which their decisions are reached, even when they differ from other committees' decisions. Like courts of law, their decisions carry weight because of how they are reached, not simply because of how they comport with the judgments of others. This is not to say that every or any legally permissible policy is ethically sound, but only that ethics committees can contribute to public satisfaction that institutions are under reliable control through the demonstrable integrity and competence of their processes of policy making.
-
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
-
Policy guidance on threats to legislative interventions in public health: a realist synthesis
2011-01-01
Background Legislation is one of the most powerful weapons for improving population health and is often used by policy and decision makers. Little research exists to guide them as to whether legislation is feasible and/or will succeed. We aimed to produce a coherent and transferable evidence based framework of threats to legislative interventions to assist the decision making process and to test this through the 'case study' of legislation to ban smoking in cars carrying children. Methods We conceptualised legislative interventions as a complex social interventions and so used the realist synthesis method to systematically review the literature for evidence. 99 articles were found through searches on five electronic databases (MEDLINE, HMIC, EMBASE, PsychINFO, Social Policy and Practice) and iterative purposive searching. Our initial searches sought any studies that contained information on smoking in vehicles carrying children. Throughout the review we continued where needed to search for additional studies of any type that would conceptually contribute to helping build and/or test our framework. Results Our framework identified a series of transferable threats to public health legislation. When applied to smoking bans in vehicles; problem misidentification; public support; opposition; and enforcement issues were particularly prominent threats. Our framework enabled us to understand and explain the nature of each threat and to infer the most likely outcome if such legislation were to be proposed in a jurisdiction where no such ban existed. Specifically, the micro-environment of a vehicle can contain highly hazardous levels of second hand smoke. Public support for such legislation is high amongst smokers and non-smokers and their underlying motivations were very similar - wanting to practice the Millian principle of protecting children from harm. Evidence indicated that the tobacco industry was not likely to oppose legislation and arguments that such a law would be 'unenforceable' were unfounded. Conclusion It is possible to develop a coherent and transferable evidence based framework of the ideas and assumptions behind the threats to legislative intervention that may assist policy and decision makers to analyse and judge if legislation is feasible and/or likely to succeed. PMID:21477347
-
Mubyazi, Godfrey M; Gonzalez-Block, Miguel A
2005-01-01
Introduction Research is an essential tool in facing the challenges of scaling up interventions and improving access to services. As in many other countries, the translation of research evidence into drug policy action in Tanzania is often constrained by poor communication between researchers and policy decision-makers, individual perceptions or attitudes towards the drug and hesitation by some policy decision-makers to approve change when they anticipate possible undesirable repercussions should the policy change as proposed. Internationally, literature on the role of researchers on national antimalarial drug policy change is limited. Objectives To describe the (a) role of researchers in producing evidence that influenced the Tanzanian government replace chloroquine (CQ) with sulfadoxine-pyrimethamine (SP) as the first-line drug and the challenges faced in convincing policy-makers, general practitioners, pharmaceutical industry and the general public on the need for change (b) challenges ahead before a new drug combination treatment policy is introduced in Tanzania. Methods In-depth interviews were held with national-level policy-makers, malaria control programme managers, pharmaceutical officers, general medical practitioners, medical research library and publications officers, university academicians, heads of medical research institutions and district and regional medical officers. Additional data were obtained through a review of malaria drug policy documents and participant observations were also done. Results In year 2001, the Tanzanian Government officially changed its malaria treatment policy guidelines whereby CQ – the first-line drug for a long time was replaced with SP. This policy decision was supported by research evidence indicating parasite resistance to CQ and clinical CQ treatment failure rates to have reached intolerable levels as compared to SP and amodiaquine (AQ). Research also indicated that since SP was also facing rising resistance trend, the need for a more effective drug was indispensable but for an interim 5–10 year period it was justifiable to recommend SP that was relatively more cost-effective than CQ and AQ. The government launched the policy change considering that studies (ethically approved by the Ministry of Health) on therapeutic efficacy and cost-effectiveness of artemisinin drug combination therapies were underway. Nevertheless, the process of communicating research results and recommendations to policy-making authorities involved critical debates between policy makers and researchers, among the researchers themselves and between the researchers and general practitioners, the speculative media reports on SP side-effects and reservations by the general public concerning the rationale for policy change, when to change, and to which drug of choice. Conclusion Changing national drug policy will remain a sensitive issue that cannot be done overnight. However, to ensure that research findings are recognised and the recommendations emanating from such findings are effectively utilized, a systematic involvement of all the key stakeholders (including policy-makers, drug manufacturers, media, practitioners and the general public) at all stages of research is crucial. It also matters how and when research information is communicated to the stakeholders. Professional organizations such as the East African Network on Malaria Treatment have potential to bring together malaria researchers, policy-makers and other stakeholders in the research-to-drug policy change interface. PMID:16242017
-
Delière, Laurent; Cartolaro, Philippe; Léger, Bertrand; Naud, Olivier
2015-09-01
In France, viticulture accounts for 20% of the phytochemicals sprayed in agriculture, and 80% of grapevine pesticides target powdery and downy mildews. European policies promote pesticide use reduction, and new methods for low-input disease management are needed for viticulture. Here, we present the assessment, in France, of Mildium, a new decision support system for the management of grapevine mildews. A 4 year assessment trial of Mildium has been conducted in a network of 83 plots distributed across the French vineyards. In most vineyards, Mildium has proved to be successful at protecting the crop while reducing by 30-50% the number of treatments required when compared with grower practices. The design of Mildium results from the formalisation of a common management of both powdery and downy mildews and eventually leads to a significant fungicide reduction at the plot scale. It could encourage stakeholders to design customised farm-scale and low-chemical-input decision support methods. © 2014 Society of Chemical Industry.
-
Meeting the challenge of policy-relevant science: lessons from a water resource project
Lamb, Berton L.
1986-01-01
Water resource scientists face complex tasks in evaluating aspects of water projects, but relatively few assessment procedures have been applied and accepted as standard applications. Decision-makers often rely on environmental assessments to evaluate the value and operation of projects. There is often confusion about scientists' role in policy decisions. The scientist can affect policy-making as an expert withess, an advocate or a surrogate. By understanding the policy process, scientists can make their work more “policy relevant.” Using the Terror Lake hydro project in Alaska as a guide, three lessons are discussed: (1) not all problems are able to be solved with technology; (2) policy-relevant technology is rarely imposed on a problem; and (3) the scientist need not just react to the policy process, but can have an impact on how that process unfolds.
-
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.
-
A method for studying decision-making by guideline development groups.
Gardner, Benjamin; Davidson, Rosemary; McAteer, John; Michie, Susan
2009-08-05
Multidisciplinary guideline development groups (GDGs) have considerable influence on UK healthcare policy and practice, but previous research suggests that research evidence is a variable influence on GDG recommendations. The Evidence into Recommendations (EiR) study has been set up to document social-psychological influences on GDG decision-making. In this paper we aim to evaluate the relevance of existing qualitative methodologies to the EiR study, and to develop a method best-suited to capturing influences on GDG decision-making. A research team comprised of three postdoctoral research fellows and a multidisciplinary steering group assessed the utility of extant qualitative methodologies for coding verbatim GDG meeting transcripts and semi-structured interviews with GDG members. A unique configuration of techniques was developed to permit data reduction and analysis. Our method incorporates techniques from thematic analysis, grounded theory analysis, content analysis, and framework analysis. Thematic analysis of individual interviews conducted with group members at the start and end of the GDG process defines discrete problem areas to guide data extraction from GDG meeting transcripts. Data excerpts are coded both inductively and deductively, using concepts taken from theories of decision-making, social influence and group processes. These codes inform a framework analysis to describe and explain incidents within GDG meetings. We illustrate the application of the method by discussing some preliminary findings of a study of a National Institute for Health and Clinical Excellence (NICE) acute physical health GDG. This method is currently being applied to study the meetings of three of NICE GDGs. These cover topics in acute physical health, mental health and public health, and comprise a total of 45 full-day meetings. The method offers potential for application to other health care and decision-making groups.
-
Decision Support | Solar Research | NREL
informed solar decision making with credible, objective, accessible, and timely resources. Solar Energy Decision Support Decision Support NREL provides technical and analytical support to support provide unbiased information on solar policies and issues for state and local government decision makers
-
2017-09-05
Report: Novel MC/BZY Proton Conductor: Materials Development, Device Evaluation, and Theoretical Exploration using CI and DFT Methods The views...policy or decision, unless so designated by other documentation. 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS (ES) U.S. Army Research Office P.O...Box 12211 Research Triangle Park, NC 27709-2211 REPORT DOCUMENTATION PAGE 11. SPONSOR/MONITOR’S REPORT NUMBER(S) 10. SPONSOR/MONITOR’S ACRONYM(S
-
Kwon, Sun-Hong; Park, Sun-Kyeong; Byun, Ji-Hye; Lee, Eui-Kyung
2017-08-01
In order to look beyond the cost-effectiveness analysis, this study used a multi-criteria decision analysis (MCDA), which reflects societal values with regard to reimbursement decisions. This study aims to elicit societal preferences of the reimbursement decision criteria for anti cancer drugs from public and healthcare professionals. Eight criteria were defined based on a literature review and focus group sessions: disease severity, disease population size, pediatrics targets, unmet needs, innovation, clinical benefits, cost-effectiveness, and budget impacts. Using quota sampling and purposive sampling, 300 participants from the Korean public and 30 healthcare professionals were selected for the survey. Preferences were elicited using an analytic hierarchy process. Both groups rated clinical benefits the highest, followed by cost-effectiveness and disease severity, but differed with regard to disease population size and unmet needs. Innovation was the least preferred criteria. Clinical benefits and other social values should be reflected appropriately with cost-effectiveness in healthcare coverage. MCDA can be used to assess decision priorities for complicated health policy decisions, including reimbursement decisions. It is a promising method for making logical and transparent drug reimbursement decisions that consider a broad range of factors, which are perceived as important by relevant stakeholders.
-
Appropriateness for Total Joint Replacement: Perspectives of Decision-Makers
Clavel, Nathalie; De coster, Carolyn; Pomey, Marie-Pascale; Sanmartin, Claudia; Bohm, Éric; Dunbar, Michael J.; Frank, CY; Hawker, Gillian; Noseworthy, Tom
2016-01-01
Background: Improving access to total joint replacement (TJR) has been a priority. Without robust mechanisms to ensure appropriateness, these procedures may be overused, incurring substantial costs. In that context, decision-makers are particularly concerned with the appropriateness of TJR. Objective: While our previous research focused on the appropriateness of TJR from clinical and patient perspectives, this study is aimed at understanding decision-makers' perspectives. Methods: Using a semi-structured guide, we interviewed a convenience sample of decision-makers in four Canadian provinces (Alberta, Manitoba, Nova Scotia and Quebec) between February and March 2013. For the purposes of this study, a decision-maker was defined as a manager, institutional leader or policy maker. Results: Fifteen interviews were conducted with decision-makers at ministry (n = 3), regional (n = 6) and institutional levels (n = 8). Decision-makers see themselves as having a key role in the appropriateness discourse, that of optimizing resource allocation and efficient delivery of services for TJR, to improve population outcomes. Conclusion: The decision-makers' view of appropriateness recognizes the importance of the clinical view, but it offers a very different input into the appropriateness discourse, more closely aligned with appropriateness of setting, which refers to cost-effectiveness considerations. PMID:27027795
-
NASA Astrophysics Data System (ADS)
Kong, X. M.; Huang, G. H.; Fan, Y. R.; Li, Y. P.
2016-04-01
In this study, a duality theorem-based algorithm (DTA) for inexact quadratic programming (IQP) is developed for municipal solid waste (MSW) management under uncertainty. It improves upon the existing numerical solution method for IQP problems. The comparison between DTA and derivative algorithm (DAM) shows that the DTA method provides better solutions than DAM with lower computational complexity. It is not necessary to identify the uncertain relationship between the objective function and decision variables, which is required for the solution process of DAM. The developed method is applied to a case study of MSW management and planning. The results indicate that reasonable solutions have been generated for supporting long-term MSW management and planning. They could provide more information as well as enable managers to make better decisions to identify desired MSW management policies in association with minimized cost under uncertainty.
-
NASA Astrophysics Data System (ADS)
Reger, Darren; Madanat, Samer; Horvath, Arpad
2014-10-01
As road conditions worsen, users experience an increase in fuel consumption and vehicle wear and tear. This increases the costs incurred by the drivers, and also increases the amount of greenhouse gases (GHGs) that vehicles emit. Pavement condition can be improved through rehabilitation activities (resurfacing) to reduce the effects on users, but these activities also have significant cost and GHG emission impacts. The objective of pavement management is to minimize total societal (user and agency) costs. However, the environmental impacts associated with the cost-minimizing policy are not currently accounted for. We show that there exists a range of potentially optimal decisions, known as the Pareto frontier, in which it is not possible to decrease total emissions without increasing total costs and vice versa. This research explores these tradeoffs for a system of pavement segments. For a case study, a network was created from a subset of California’s highways using available traffic data. It was shown that the current resurfacing strategy used by the state’s transportation agency, Caltrans, does not fall on the Pareto frontier, meaning that significant savings in both total costs and total emissions can be achieved by switching to one of the optimal policies. The methods presented in this paper also allow the decision maker to evaluate the impact of other policies, such as reduced vehicle kilometers traveled or better construction standards.
-
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.
-
Looking at CER from Medicare's perspective.
Mohr, Penny
2012-05-01
Comparative effectiveness research (CER) is rapidly adding to the amount of data available to health care coverage and payment decision makers. Medicare's decisions have a large effect on coverage and reimbursement policies throughout the health insurance industry and will likely influence the entire U.S. health care system; thus, examining its role in integrating CER into policy is crucial. To describe the potential benefits of CER to support payment and coverage decisions in the Medicare program, limitations on its use,the role of the Centers for Medicare & Medicaid Services (CMS) in improving the infrastructure for CER, and to discuss challenges that must be addressed to integrate CER into CMS's decision-making process. A defining feature of CER is that it provides the type of evidence that will help decision makers, such as patients, clinicians, and payers,make more informed treatment and policy decisions. Because CMS is responsible for more than 47 million elderly and disabled beneficiaries, the way that Medicare uses CER has the potential to have a large impact on public and individual health. Currently many critical payment and coverage decisions within the Medicare program are made on the basis of poor quality evidence, and CER has the potential to greatly improve the quality of decision making. Despite common misconceptions, CMS is not prohibited by law from using CER apart from some reasonable limitations. CMS is,however, required to support the development of the CER infrastructure by making their data more readily available to researchers. While CER has substantial potential to improve the quality of the agency's policy decisions,challenges remain to integrate CER into Medicare's processes. These challenges include statutory ambiguities, lack of sufficient staff and internal resources to take advantage of CER, and the lack of an active voice in setting priorities for CER and study design. Although challenges exist, CER has the potential to greatly enhance CMS's ability to make decisions regarding coverage and payment that will benefit both the agency and their patient population.
-
Evidence-Based Ethics for Neurology and Psychiatry Research
Kim, Scott Y. H.
2004-01-01
Summary: American bioethics, historically arising out of theology and philosophy, has been dominated by the method of normative analysis. Ethics as policy, however, requires in addition a solid evidence base. This paper discusses the background conditions that make neurotherapeutics research particularly challenging. Three key ethical issues are discussed within an evidence-based ethics framework: the ethical challenges arising from changes in the financial incentive structures for academic researchers and their institutions, the challenges of risk-benefit analysis for neurotherapeutics protocols testing innovative interventions, and the evolving issues surrounding impaired decision-making capacity and surrogate consent for research. For each of these issues, selected empirical data are reviewed, areas for further inquiry are noted, and the need for development of novel methods for bioethics policy research is discussed. PMID:15717040
-
Uncertainty quantification and optimal decisions
2017-01-01
A mathematical model can be analysed to construct policies for action that are close to optimal for the model. If the model is accurate, such policies will be close to optimal when implemented in the real world. In this paper, the different aspects of an ideal workflow are reviewed: modelling, forecasting, evaluating forecasts, data assimilation and constructing control policies for decision-making. The example of the oil industry is used to motivate the discussion, and other examples, such as weather forecasting and precision agriculture, are used to argue that the same mathematical ideas apply in different contexts. Particular emphasis is placed on (i) uncertainty quantification in forecasting and (ii) how decisions are optimized and made robust to uncertainty in models and judgements. This necessitates full use of the relevant data and by balancing costs and benefits into the long term may suggest policies quite different from those relevant to the short term. PMID:28484343
-
The biometric imaginary: (Dis)trust in a policy vacuum.
Gunnarsdóttir, Kristrún; Rommetveit, Kjetil
2017-02-01
The decision in Europe to implement biometric passports, visas and residence permits was made at the highest levels without much consultation, checks and balances. Council regulation came into force relatively unnoticed in January 2005, as part of wider securitization policies urging systems interoperability and data sharing across borders. This article examines the biometric imaginary that characterizes this European Union decision, dictated by executive powers in the policy vacuum after 9/11 - a depiction of mobility governance, technological necessity and whom/what to trust or distrust, calling upon phantom publics to justify decisions rather than test their grounding. We consult an online blog we operated in 2010 to unravel this imaginary years on. Drawing on Dewey's problem of the public, we discuss this temporary opening of a public space in which the imaginary could be reframed and contested, and how such activities may shape, if at all, relations between politics, publics, policy intervention and societal development.
-
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.
-
NASA Astrophysics Data System (ADS)
Alizadeh, Mohammad Reza; Nikoo, Mohammad Reza; Rakhshandehroo, Gholam Reza
2017-08-01
Sustainable management of water resources necessitates close attention to social, economic and environmental aspects such as water quality and quantity concerns and potential conflicts. This study presents a new fuzzy-based multi-objective compromise methodology to determine the socio-optimal and sustainable policies for hydro-environmental management of groundwater resources, which simultaneously considers the conflicts and negotiation of involved stakeholders, uncertainties in decision makers' preferences, existing uncertainties in the groundwater parameters and groundwater quality and quantity issues. The fuzzy multi-objective simulation-optimization model is developed based on qualitative and quantitative groundwater simulation model (MODFLOW and MT3D), multi-objective optimization model (NSGA-II), Monte Carlo analysis and Fuzzy Transformation Method (FTM). Best compromise solutions (best management policies) on trade-off curves are determined using four different Fuzzy Social Choice (FSC) methods. Finally, a unanimity fallback bargaining method is utilized to suggest the most preferred FSC method. Kavar-Maharloo aquifer system in Fars, Iran, as a typical multi-stakeholder multi-objective real-world problem is considered to verify the proposed methodology. Results showed an effective performance of the framework for determining the most sustainable allocation policy in groundwater resource management.
-
Policy impacts of ecosystem services knowledge
Posner, Stephen M.; McKenzie, Emily; Ricketts, Taylor H.
2016-01-01
Research about ecosystem services (ES) often aims to generate knowledge that influences policies and institutions for conservation and human development. However, we have limited understanding of how decision-makers use ES knowledge or what factors facilitate use. Here we address this gap and report on, to our knowledge, the first quantitative analysis of the factors and conditions that explain the policy impact of ES knowledge. We analyze a global sample of cases where similar ES knowledge was generated and applied to decision-making. We first test whether attributes of ES knowledge themselves predict different measures of impact on decisions. We find that legitimacy of knowledge is more often associated with impact than either the credibility or salience of the knowledge. We also examine whether predictor variables related to the science-to-policy process and the contextual conditions of a case are significant in predicting impact. Our findings indicate that, although many factors are important, attributes of the knowledge and aspects of the science-to-policy process that enhance legitimacy best explain the impact of ES science on decision-making. Our results are consistent with both theory and previous qualitative assessments in suggesting that the attributes and perceptions of scientific knowledge and process within which knowledge is coproduced are important determinants of whether that knowledge leads to action. PMID:26831101
-
A decision support for an integrated multi-scale analysis of irrigation: DSIRR.
Bazzani, Guido M
2005-12-01
The paper presents a decision support designed to conduct an economic-environmental assessment of the agricultural activity focusing on irrigation called 'Decision Support for IRRigated Agriculture' (DSIRR). The program describes the effect at catchment scale of choices taken at micro scale by independent actors, the farmers, by simulating their decision process. The decision support (DS) has been thought of as a support tool for participatory water policies as requested by the Water Framework Directive and it aims at analyzing alternatives in production and technology, according to different market, policy and climate conditions. The tool uses data and models, provides a graphical user interface and can incorporate the decision makers' own insights. Heterogeneity in preferences is admitted since it is assumed that irrigators try to optimize personal multi-attribute utility functions, subject to a set of constraints. Consideration of agronomic and engineering aspects allows an accurate description of irrigation. Mathematical programming techniques are applied to find solutions. The program has been applied in the river Po basin (northern Italy) to analyze the impact of a pricing policy in a context of irrigation technology innovation. Water demand functions and elasticity to water price have been estimated. Results demonstrate how different areas and systems react to the same policy in quite a different way. While in the annual cropping system pricing seems effective to save the resource at the cost of impeding Water Agencies cost recovery, the same policy has an opposite effect in the perennial fruit system which shows an inelastic response to water price. The multidimensional assessment conducted clarified the trades-off among conflicting economic-social-environmental objectives, thus generating valuable information to design a more tailored mix of measures.
-
Management of carbon across sectors and scales: Insights from land use decision making
NASA Astrophysics Data System (ADS)
Dilling, L.; Failey, E. L.
2008-12-01
Carbon management is increasingly becoming a topic of interest among policy circles and business entrepreneurs alike. In the United States, while no binding regulatory framework exists, carbon management is nonetheless being pursued both by voluntary actions at a variety of levels, from the individual to the national level, and through mandatory policies at state and local levels. Controlling the amount of carbon dioxide in the atmosphere for climate purposes will ultimately require a form of governance that will ensure that the actions taken and being rewarded financially are indeed effective with respect to the global atmosphere on long time scales. Moreover, this new system of governance will need to interface with existing governance structures and decision criteria that have been established to arbitrate among various societal values and priorities. These existing institutions and expressed values will need to be examined against those proposed for effective carbon governance, such as the permanence of carbon storage, the additionality of credited activities, and the prevention of leakage, or displacement of prohibited activities to another region outside the governance boundary. The latter issue suggests that interactions among scales of decision making and governance will be extremely important in determining the ultimate success of any future system of carbon governance. The goal of our study is to understand the current context of land use decision making in different sectors and examine the potential for future carbon policy to be effective given this context. This study examined land use decision making in the U.S. state of Colorado from a variety of ownership perspectives, including US Federal land managers, individual private owners, and policy makers involved in land use at a number of different scales. This paper will report on the results of interviews with land managers and provide insight into the policy context for carbon management through land use. The study also examined the role of information in making decisions, and we will report some interesting contrasts between Federal and private land owner practices. Implications for science policy and the provision of useful information for decision making will be discussed.
-
Dynamic remapping of parallel computations with varying resource demands
NASA Technical Reports Server (NTRS)
Nicol, D. M.; Saltz, J. H.
1986-01-01
A large class of computational problems is characterized by frequent synchronization, and computational requirements which change as a function of time. When such a problem must be solved on a message passing multiprocessor machine, the combination of these characteristics lead to system performance which decreases in time. Performance can be improved with periodic redistribution of computational load; however, redistribution can exact a sometimes large delay cost. We study the issue of deciding when to invoke a global load remapping mechanism. Such a decision policy must effectively weigh the costs of remapping against the performance benefits. We treat this problem by constructing two analytic models which exhibit stochastically decreasing performance. One model is quite tractable; we are able to describe the optimal remapping algorithm, and the optimal decision policy governing when to invoke that algorithm. However, computational complexity prohibits the use of the optimal remapping decision policy. We then study the performance of a general remapping policy on both analytic models. This policy attempts to minimize a statistic W(n) which measures the system degradation (including the cost of remapping) per computation step over a period of n steps. We show that as a function of time, the expected value of W(n) has at most one minimum, and that when this minimum exists it defines the optimal fixed-interval remapping policy. Our decision policy appeals to this result by remapping when it estimates that W(n) is minimized. Our performance data suggests that this policy effectively finds the natural frequency of remapping. We also use the analytic models to express the relationship between performance and remapping cost, number of processors, and the computation's stochastic activity.
-
Policy analysis for deciding on a malaria vaccine RTS,S in Tanzania.
Romore, Idda; Njau, Ritha J A; Semali, Innocent; Mwisongo, Aziza; Ba Nguz, Antoinette; Mshinda, Hassan; Tanner, Marcel; Abdulla, Salim
2016-03-08
Traditionally, it has taken decades to introduce new interventions in low-income countries. Several factors account for these delays, one of which is the absence of a framework to facilitate comprehensive understanding of policy process to inform policy makers and stimulate the decision-making process. In the case of the proposed introduction of malaria vaccines in Tanzania, a specific framework for decision-making will speed up the administrative process and shorten the time until the vaccine is made available to the target population. Qualitative research was used as a basis for developing the Policy Framework. Interviews were conducted with government officials, bilateral and multilateral partners and other stakeholders in Tanzania to assess malaria treatment policy changes and to draw lessons for malaria vaccine adoption. The decision-making process for adopting malaria interventions and new vaccines in general takes years, involving several processes: meetings and presentations of scientific data from different studies with consistent results, packaging and disseminating evidence and getting approval for use by the Ministry of Health and Social Welfare (MOHSW). It is influenced by contextual factors; Promoting factors include; epidemiological and intervention characteristics, country experiences of malaria treatment policy change, presentation and dissemination of evidence, coordination and harmonization of the process, use of international scientific evidence. Barriers factors includes; financial sustainability, competing health and other priorities, political will and bureaucratic procedures, costs related to the adoption and implementations of interventions, supply and distribution and professional compliance with anti-malarial drugs. The framework facilitates the synthesis of information in a coherent way, enabling a clearer understanding of the policy process, thereby speeding up the policy decision-making process and shortening the time for a malaria vaccine to become available.
-
2013-01-01
Background Health Impact Assessment (HIA) involves assessing how proposals may alter the determinants of health prior to implementation and recommends changes to enhance positive and mitigate negative impacts. HIAs growing use needs to be supported by a strong evidence base, both to validate the value of its application and to make its application more robust. We have carried out the first systematic empirical study of the influence of HIA on decision-making and implementation of proposals in Australia and New Zealand. This paper focuses on identifying whether and how HIAs changed decision-making and implementation and impacts that participants report following involvement in HIAs. Methods We used a two-step process first surveying 55 HIAs followed by 11 in-depth case studies. Data gathering methods included questionnaires with follow-up interview, semi-structured interviews and document collation. We carried out deductive and inductive qualitative content analyses of interview transcripts and documents as well as simple descriptive statistics. Results We found that most HIAs are effective in some way. HIAs are often directly effective in changing, influencing, broadening areas considered and in some cases having immediate impact on decisions. Even when HIAs are reported to have no direct effect on a decision they are often still effective in influencing decision-making processes and the stakeholders involved in them. HIA participants identify changes in relationships, improved understanding of the determinants of health and positive working relationships as major and sustainable impacts of their involvement. Conclusions This study clearly demonstrates direct and indirect effectiveness of HIA influencing decision making in Australia and New Zealand. We recommend that public health leaders and policy makers should be confident in promoting the use of HIA and investing in building capacity to undertake high quality HIAs. New findings about the value HIA stakeholders put on indirect impacts such as learning and relationship building suggest HIA has a role both as a technical tool that makes predictions of potential impacts of a policy, program or project and as a mechanism for developing relationships with and influencing other sectors. Accordingly when evaluating the effectiveness of HIAs we need to look beyond the direct impacts on decisions. PMID:24341545
-
The Montreal Protocol treaty and its illuminating history of science-policy decision-making
NASA Astrophysics Data System (ADS)
Grady, C.
2017-12-01
The Montreal Protocol on Substances that Deplete the Ozone Layer, hailed as one of the most effective environmental treaties of all time, has a thirty year history of science-policy decision-making. The partnership between Parties to the Montreal Protocol and its technical assessment panels serve as a basis for understanding successes and evaluating stumbles of global environmental decision-making. Real-world environmental treaty negotiations can be highly time-sensitive, politically motivated, and resource constrained thus scientists and policymakers alike are often unable to confront the uncertainties associated with the multitude of choices. The science-policy relationship built within the framework of the Montreal Protocol has helped constrain uncertainty and inform policy decisions but has also highlighted the limitations of the use of scientific understanding in political decision-making. This talk will describe the evolution of the scientist-policymaker relationship over the history of the Montreal Protocol. Examples will illustrate how the Montreal Protocol's technical panels inform decisions of the country governments and will characterize different approaches pursued by different countries with a particular focus on the recently adopted Kigali Amendment. In addition, this talk will take a deeper dive with an analysis of the historic technical panel assessments on estimating financial resources necessary to enable compliance to the Montreal Protocol compared to the political financial decisions made through the Protocol's Multilateral Fund replenishment negotiation process. Finally, this talk will describe the useful lessons and challenges from these interactions and how they may be applicable in other environmental management frameworks across multiple scales under changing climatic conditions.
-
Advancing Alternative Analysis: Integration of Decision Science.
Malloy, Timothy F; Zaunbrecher, Virginia M; Batteate, Christina M; Blake, Ann; Carroll, William F; Corbett, Charles J; Hansen, Steffen Foss; Lempert, Robert J; Linkov, Igor; McFadden, Roger; Moran, Kelly D; Olivetti, Elsa; Ostrom, Nancy K; Romero, Michelle; Schoenung, Julie M; Seager, Thomas P; Sinsheimer, Peter; Thayer, Kristina A
2017-06-13
Decision analysis-a systematic approach to solving complex problems-offers tools and frameworks to support decision making that are increasingly being applied to environmental challenges. Alternatives analysis is a method used in regulation and product design to identify, compare, and evaluate the safety and viability of potential substitutes for hazardous chemicals. We assessed whether decision science may assist the alternatives analysis decision maker in comparing alternatives across a range of metrics. A workshop was convened that included representatives from government, academia, business, and civil society and included experts in toxicology, decision science, alternatives assessment, engineering, and law and policy. Participants were divided into two groups and were prompted with targeted questions. Throughout the workshop, the groups periodically came together in plenary sessions to reflect on other groups' findings. We concluded that the further incorporation of decision science into alternatives analysis would advance the ability of companies and regulators to select alternatives to harmful ingredients and would also advance the science of decision analysis. We advance four recommendations: a ) engaging the systematic development and evaluation of decision approaches and tools; b ) using case studies to advance the integration of decision analysis into alternatives analysis; c ) supporting transdisciplinary research; and d ) supporting education and outreach efforts. https://doi.org/10.1289/EHP483.
-
Code of Federal Regulations, 2010 CFR
2010-07-01
... environmental impact statement (EIS) or environmental assessment (EA). Decision notice. A concise written record... ENVIRONMENTAL POLICY ACT (NEPA) COMPLIANCE § 220.3 Definitions. The following definitions supplement, by adding... about natural resource systems is sometimes uncertain. Decision document. A record of decision, decision...
-
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…
-
Variable Perceptions of Decision: An Operationalization of Four Models.
ERIC Educational Resources Information Center
Benjamin, Beverly P.; Kerchner, Charles T.
Decision-making and the models of decision-making that people carry in their minds were assessed. Participants in a public policy decision involving early childhood education were mapped onto four frequently used models of decision making: the rational, the bureaucratic, organizational process (Allison, 1971) and the garbage can or organized…
-
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.
-
Harik, G; Alameddine, I; Maroun, R; Rachid, G; Bruschi, D; Astiaso Garcia, D; El-Fadel, M
2017-02-01
In this study, a multi-criteria index was developed to assess anthropogenic stressors along the Mediterranean coastline. The index aimed at geo-locating pollution hotspots for informed decision making related to coastal zone management. The index was integrated in a Geographical Information System based geodatabase implemented at several pilot areas along the Northern (Italy and France), Eastern (Lebanon), and Southern (Tunisia) Mediterranean coastlines. The generated stressor maps were coupled with a biodiversity richness index and an environmental sensitivity index to produce vulnerability maps that can form the basis for prioritizing management and mitigation interventions towards the identification of pollution hotspots and the promotion of sustainable coastal zone management. The results identified significant differences between the two assessment methods, which can bias prioritization in decision making and policy planning depending on stakeholders' interests. The discrepancies emphasize the need for transparency and understanding of the underlying foundations behind vulnerability indices and mapping development. Copyright © 2016 Elsevier Ltd. All rights reserved.
-
ERIC Educational Resources Information Center
Chan, Jacqueline K. S.
2012-01-01
"Soft" policy has newly emerged as a policy implementation concept in relation to governance. Non-binding in character, "soft" policy is designed for multi-level systems of governance in which there is relative autonomy at different levels of collective decision-making. "Soft" policy has gained attention since the…
-
2012-01-01
Background Little information is known about what information women want when choosing a birth facility. The objective of this study was to inform the development of a consumer decision support tool about birth facility by identifying the information needs of maternity care consumers in Queensland, Australia. Methods Participants were 146 women residing in both urban and rural areas of Queensland, Australia who were pregnant and/or had recently given birth. A cross-sectional survey was administered in which participants were asked to rate the importance of 42 information items to their decision-making about birth facility. Participants could also provide up to ten additional information items of interest in an open-ended question. Results On average, participants rated 30 of the 42 information items as important to decision-making about birth facility. While the majority of information items were valued by most participants, those related to policies about support people, other women’s recommendations about the facility, freedom to choose one’s preferred position during labour and birth, the aesthetic quality of the facility, and access to on-site neonatal intensive care were particularly widely valued. Additional items of interest frequently focused on postnatal care and support, policies related to medical intervention, and access to water immersion. Conclusions The women surveyed had significant and diverse information needs for decision-making about birth facility. These findings have immediate applications for the development of decision support tools about birth facility, and highlight the need for tools which provide a large volume of information in an accessible and user-friendly format. These findings may also be used to guide communication and information-sharing by care providers involved in counselling pregnant women and families about their options for birth facility or providing referrals to birth facilities. PMID:22708648
-
Development of a moral judgment measure for veterinary education.
Verrinder, Joy M; Phillips, Clive J C
2014-01-01
Veterinarians increasingly face animal ethics issues, conflicts, and dilemmas, both in practice and in policy, such as the tension between clients' and animals' interests. Little has been done to measure the capacity of veterinarians to make ethical judgments to prevent and address these issues or to identify the effectiveness of strategies to build this capacity. The objectives of this study were, first, to develop a test to identify the capacity of veterinarians to make ethical decisions in relation to animal ethics issues and, second, to assess students' perceptions of the usefulness of three methods for the development of ethical decision making. The Veterinary Defining Issues Test (VetDIT) was piloted with 88 first-year veterinary students at an Australian university. The veterinary students were at a variety of reasoning stages in their use of the Personal Interest (PI), Maintaining Norms (MN), and Universal Principles (UP) reasoning methods in relation to both human ethics and animal ethics issues and operated at a higher level of reasoning for animal than human ethics. Thirty-eight students assessed three methods for developing ethical decision-making skills and identified these as being helpful in clarifying their positions, clarifying others' positions, increasing awareness of the complexity of making ethical decisions, using ethical frameworks and principles, and improving moral reasoning skills, with two methods identified as most helpful. These methods and the VetDIT have the potential to be used as tools for development and assessment of moral judgment in veterinary education to address animal ethics issues.
-
Accountability Policies and Teacher Decision Making: Barriers to the Use of Data to Improve Practice
ERIC Educational Resources Information Center
Ingram, Debra; Louis, Karen Seashore; Schroeder, Roger G.
2004-01-01
One assumption underlying accountability policies is that results from standardized tests and other sources will be used to make decisions about school and classroom practice. We explore this assumption using data from a longitudinal study of nine high schools nominated as leading practitioners of Continuous Improvement (CI) practices. We use the…
-
ERIC Educational Resources Information Center
Stewart, Ellen; Smith, Katherine E.
2015-01-01
Concerns about the limited influence of research on decision making have prompted the development of tools intended to mediate evidence for policy audiences. This article focuses on three examples, prominent in public health: impact assessments; systematic reviews; and economic decision-making tools (cost-benefit analysis and scenario modelling).…
-
The Decision to Form the Kangan Committee--A Case Study in the Educational Policy Process.
ERIC Educational Resources Information Center
Ford, John
1983-01-01
The postsecondary education policymaking process in Australia, rather than being goal-oriented and rational, is a series of adjustments to existing policy dictated by political expediency, often over many years and changes of government and leading to decisions reflecting unstable origins. This committee's broad influences illustrate this process.…
-
Great Decisions 1989. Foreign Policy Issues Facing the Nation.
ERIC Educational Resources Information Center
Hoepli, Nancy L., Ed.
This briefing book provides the only material needed to participate in the 1989 Great Decisions national non-partisan program of volunteer run discussions on U.S. foreign policy issues for classrooms and community groups. Everyone who participates in the program is invited to fill out the opinion ballots provided in the back of the book; the…
-
ERIC Educational Resources Information Center
Goatley, Virginia
2008-01-01
This article outlines five critical issues for teacher educators and literacy specialists in New York State. Intended to raise issues and share recent policy decisions, the article provides background and conversations about current policy. Readers are encouraged to make decisions about how to participate in the current conversations across the…
-
ERIC Educational Resources Information Center
Pan, Diane; Smith-Hansen, Lotte; Jones, Debra Hughes; Rudo, Zena H.; Alexander, Celeste; Kahlert, Rahel Kahlert, Rahel
2004-01-01
Information is one of the most important tools education decision makers need to help them effectively spend taxpayer money, allocate qualified staff, and determine the effectiveness of education investments. Decision makers must understand the role and influence of monetary and staff resources on the education system, and they must have…
-
ERIC Educational Resources Information Center
Meyers, James; And Others
The concept of public marketing presents a strategy for the systems approach to community development that would facilitate the community decision making process via improved communication. Basic aspects of the social marketing process include: (1) product policy; (2) channels of distribution; (3) pricing (perceived price vs quality and quantity…
-
Facsimile Transmission of Microforms.
1983-12-30
display terminals, high speed printers, conventional facsimile receivers, and/or graphics COM recorders. Microforms designed for storage, retrieval...author and Whould not be construed as an official Department of the Army position, policy, or decision, unless so designated by other documentation...beconstrued as an official Department of the Army position, policy, or decision, unless so designated by other documentation. ,, -- UNCLASSIFIED SECURITY
-
New Jersey Case Report: A Managed Market Approach.
ERIC Educational Resources Information Center
Richardson, Richard C., Jr.
This report describes key policy decisions that have shaped the New Jersey system of higher education during the past third of a century. The study was part of a larger study that aimed at understanding the linkages between policy decisions and higher education performance through comparative case studies of two states in the United States and two…
-
Donald G. MacGregor; David N. Seesholtz
2008-01-01
Prior to the existence of the National Environmental Policy Act (NEPA), Forest Service district rangers had considerable latitude to make resource management decisions and execute management plans with relatively little encumbrance by documentation and process requirements. Today there appear to be differences not only in the district ranger population, but in the...
-
The Academic Game. A Simulation of Policy-Making in a University For 8 to 20 Players.
ERIC Educational Resources Information Center
Jaques, David
The Academic Game, considered a valuable exercise for academics and administrators in investigating some of the problems of decision-making and possible ways of facilitating organizational decisions, is described. The major objective of the game is to achieve on agreed promotion policy. The roles and organization structure are designed to ensure…