A decision support system for technology R&D planning: connecting the dots from information to innovation

NASA Technical Reports Server (NTRS)

Smith, Jeffrey H.; Wertz, Julie; Weisbin, Charles

2004-01-01

This paper describes an information technology innovation developed to assist decision makers faced with complex R&D tasks. The decision support system (DSS) was developed and applied to the analysis of a 10-year, 700 million dollar technology program for the exploration of Mars. The technologies were to enable a 4.8 billion dollar portfolio of exploration flight missions to Mars.

Investigation and design of a Project Management Decision Support System for the 4950th Test Wing.

DTIC Science & Technology

1986-03-01

all decision makers is the need for memory aids (reports, hand written notes, mental memory joggers, etc.). 4. Even in similar decision making ... memories to synthesize a decision- making process based on their individual styles, skills, and knowledge (Sprague, 1982: 106). Control mechanisms...representations shown in Figures 4.9 and 4.10 provide a means to this objective. By enabling a manager to make and record reasonable changes to

Embedding health policy and systems research into decision-making processes in low- and middle-income countries

PubMed Central

2013-01-01

Attention is increasingly directed to bridging the gap between the production of knowledge and its use for health decision-making in low- and middle-income countries (LMICs). An important and underdeveloped area of health policy and systems research (HPSR) is the organization of this process. Drawing from an interdisciplinary conception of embeddedness, a literature review was conducted to identify examples of embedded HPSR used to inform decision-making in LMICs. The results of the literature review were organized according to the World Health Organization’s Building Blocks Framework. Next, a conceptual model was created to illustrate the arrangement of organizations that produce embedded HPSR and the characteristics that facilitate its uptake into the arena of decision-making. We found that multiple forces converge to create context-specific pathways through which evidence enters into decision-making. Depending on the decision under consideration, the literature indicates that decision-makers may call upon an intricate combination of actors for sourcing HPSR. While proximity to decision-making does have advantages, it is not the position of the organization within the network, but rather the qualities the organization possesses, that enable it to be embedded. Our findings suggest that four qualities influence embeddedness: reputation, capacity, quality of connections to decision-makers, and quantity of connections to decision-makers and others. In addition to this, the policy environment (e.g. the presence of legislation governing the use of HPSR, presence of strong civil society, etc.) strongly influences uptake. Through this conceptual model, we can understand which conditions are likely to enhance uptake of HPSR in LMIC health systems. This raises several important considerations for decision-makers and researchers about the arrangement and interaction of evidence-generating organizations in health systems. PMID:23924162

Embedding health policy and systems research into decision-making processes in low- and middle-income countries.

PubMed

Koon, Adam D; Rao, Krishna D; Tran, Nhan T; Ghaffar, Abdul

2013-08-08

Attention is increasingly directed to bridging the gap between the production of knowledge and its use for health decision-making in low- and middle-income countries (LMICs). An important and underdeveloped area of health policy and systems research (HPSR) is the organization of this process. Drawing from an interdisciplinary conception of embeddedness, a literature review was conducted to identify examples of embedded HPSR used to inform decision-making in LMICs. The results of the literature review were organized according to the World Health Organization's Building Blocks Framework. Next, a conceptual model was created to illustrate the arrangement of organizations that produce embedded HPSR and the characteristics that facilitate its uptake into the arena of decision-making. We found that multiple forces converge to create context-specific pathways through which evidence enters into decision-making. Depending on the decision under consideration, the literature indicates that decision-makers may call upon an intricate combination of actors for sourcing HPSR. While proximity to decision-making does have advantages, it is not the position of the organization within the network, but rather the qualities the organization possesses, that enable it to be embedded. Our findings suggest that four qualities influence embeddedness: reputation, capacity, quality of connections to decision-makers, and quantity of connections to decision-makers and others. In addition to this, the policy environment (e.g. the presence of legislation governing the use of HPSR, presence of strong civil society, etc.) strongly influences uptake. Through this conceptual model, we can understand which conditions are likely to enhance uptake of HPSR in LMIC health systems. This raises several important considerations for decision-makers and researchers about the arrangement and interaction of evidence-generating organizations in health systems.

How much lox is a grizzly bear worth?

PubMed

Chase, Jonathan

2012-01-01

Using grizzly bears as surrogates for "salmon ecosystem" function, the authors develop a generalizable ecosystem-based management framework that enables decision makers to quantify ecosystem-harvest tradeoffs between wild and human recipients of natural resources like fish.

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-computer interface for the study of information fusion concepts in situation analysis and command decision support systems

NASA Astrophysics Data System (ADS)

Roy, Jean; Breton, Richard; Paradis, Stephane

2001-08-01

Situation Awareness (SAW) is essential for commanders to conduct decision-making (DM) activities. Situation Analysis (SA) is defined as a process, the examination of a situation, its elements, and their relations, to provide and maintain a product, i.e., a state of SAW for the decision maker. Operational trends in warfare put the situation analysis process under pressure. This emphasizes the need for a real-time computer-based Situation analysis Support System (SASS) to aid commanders in achieving the appropriate situation awareness, thereby supporting their response to actual or anticipated threats. Data fusion is clearly a key enabler for SA and a SASS. Since data fusion is used for SA in support of dynamic human decision-making, the exploration of the SA concepts and the design of data fusion techniques must take into account human factor aspects in order to ensure a cognitive fit of the fusion system with the decision-maker. Indeed, the tight human factor aspects in order to ensure a cognitive fit of the fusion system with the decision-maker. Indeed, the tight integration of the human element with the SA technology is essential. Regarding these issues, this paper provides a description of CODSI (Command Decision Support Interface), and operational- like human machine interface prototype for investigations in computer-based SA and command decision support. With CODSI, one objective was to apply recent developments in SA theory and information display technology to the problem of enhancing SAW quality. It thus provides a capability to adequately convey tactical information to command decision makers. It also supports the study of human-computer interactions for SA, and methodologies for SAW measurement.

A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas

PubMed Central

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

SEA - Enhancing communication for better environmental decisions

DOE Office of Scientific and Technical Information (OSTI.GOV)

Vicente, Gustavo; Partidario, Maria R.

Over the years SEA has been subjected to several interpretations, often resulting from different views on democratic processes and social considerations in decision-making. More than strictly a technical tool, as in its original form, SEA has the potential to act as a mediating instrument, bridging problem perceptions with technical solutions, steering the assessment to facilitate the integration of environmental values into decision-making processes, influencing decision-makers' capacity of acceptance. This paper explores the potential of SEA to enhance communication between different stakeholders, enabling discussion and agreement independently of different beliefs, convictions, social roles, values, accumulated experiences, individual needs, or any othermore » factors, that express different world visions and determine the context within which decisions are taken. To face up to this challenge the authors suggest the establishment of communication strategies that enhance the role of SEA in the construction of social expectations and platforms of discussion, in the multiple negotiation processes that take place between stakeholders and decision-makers.« less

Needs and challenges for assessing the environmental impacts of engineered nanomaterials (ENMs)

PubMed Central

Romero-Franco, Michelle; Godwin, Hilary A; Bilal, Muhammad

2017-01-01

The potential environmental impact of nanomaterials is a critical concern and the ability to assess these potential impacts is top priority for the progress of sustainable nanotechnology. Risk assessment tools are needed to enable decision makers to rapidly assess the potential risks that may be imposed by engineered nanomaterials (ENMs), particularly when confronted by the reality of limited hazard or exposure data. In this review, we examine a range of available risk assessment frameworks considering the contexts in which different stakeholders may need to assess the potential environmental impacts of ENMs. Assessment frameworks and tools that are suitable for the different decision analysis scenarios are then identified. In addition, we identify the gaps that currently exist between the needs of decision makers, for a range of decision scenarios, and the abilities of present frameworks and tools to meet those needs. PMID:28546894

Assessing Generalisability in Model-Based Economic Evaluation Studies: A Structured Review in Osteoporosis

PubMed Central

Urdahl, Hege; Manca, Andrea; Sculpher, Mark J

2008-01-01

Background To support decision making many countries have now introduced some formal assessment process to evaluate whether health technologies represent good ‘value for money’. These often take the form of decision models which can be used to explore elements of importance to generalisability of study results across clinical settings and jurisdictions. The objectives of the present review were to assess: (i) whether the published studies clearly defined the decision-making audience for the model; (ii) the transparency of the reporting in terms of study question, structure and data inputs; (iii) the relevance of the data inputs used in the model to the stated decision-maker or jurisdiction; and (iv) how fully the robustness of the model's results to variation in data inputs between locations was assessed. Methods Articles reporting decision-analytic models in the area of osteoporosis were assessed to establish the extent to which the information provided enabled decision makers in different countries/jurisdictions to fully appreciate the variability of results according to location, and the relevance to their own. Results Of the 18 articles included in the review, only three explicitly stated the decision-making audience. It was not possible to infer a decision-making audience in eight studies. Target population was well reported, as was resource and cost data, and clinical data used for estimates of relative risk reduction. However, baseline risk was rarely adapted to the relevant jurisdiction, and when no decision-maker was explicit it was difficult to assess whether the reported cost and resource use data was in fact relevant. A few studies used sensitivity analysis to explore elements of generalisability, such as compliance rates and baseline fracture risk rates, although such analyses were generally restricted to evaluating parameter uncertainty. Conclusion This review found that variability in cost-effectiveness across locations is addressed to a varying extent in modelling studies in the field of osteoporosis, limiting their use for decision-makers across different locations. Transparency of reporting is expected to increase as methodology develops, and decision-makers publish “reference case” type guidance. PMID:17129074

Status of the US EPA’s National Atlas of Ecosystem Services

EPA Science Inventory

The US Environmental Protection Agency’s (USEPA) Ecosystem Services Research Program (ESRP) is focused on transdisciplinary research to develop tools to enable decision-makers at all levels of governance to proactively conserve ecosystems services. A major product from the ESRP ...

Valuing flexibilities in the design of urban water management systems.

PubMed

Deng, Yinghan; Cardin, Michel-Alexandre; Babovic, Vladan; Santhanakrishnan, Deepak; Schmitter, Petra; Meshgi, Ali

2013-12-15

Climate change and rapid urbanization requires decision-makers to develop a long-term forward assessment on sustainable urban water management projects. This is further complicated by the difficulties of assessing sustainable designs and various design scenarios from an economic standpoint. A conventional valuation approach for urban water management projects, like Discounted Cash Flow (DCF) analysis, fails to incorporate uncertainties, such as amount of rainfall, unit cost of water, and other uncertainties associated with future changes in technological domains. Such approach also fails to include the value of flexibility, which enables managers to adapt and reconfigure systems over time as uncertainty unfolds. This work describes an integrated framework to value investments in urban water management systems under uncertainty. It also extends the conventional DCF analysis through explicit considerations of flexibility in systems design and management. The approach incorporates flexibility as intelligent decision-making mechanisms that enable systems to avoid future downside risks and increase opportunities for upside gains over a range of possible futures. A water catchment area in Singapore was chosen to assess the value of a flexible extension of standard drainage canals and a flexible deployment of a novel water catchment technology based on green roofs and porous pavements. Results show that integrating uncertainty and flexibility explicitly into the decision-making process can reduce initial capital expenditure, improve value for investment, and enable decision-makers to learn more about system requirements during the lifetime of the project. Copyright © 2013 Elsevier Ltd. All rights reserved.

Turning the Aircraft Carrier.

ERIC Educational Resources Information Center

Kraack, Thomas

2003-01-01

Describes how one company developed an organizational structure and system of governance to ensure that strategy and work force enablement are locked in. Discusses the following principles for trainers: understanding the business, directing the effects learning has on business results, and managing relationships with key decision makers. (JOW)

Repeated causal decision making.

PubMed

Hagmayer, York; Meder, Björn

2013-01-01

Many of our decisions refer to actions that have a causal impact on the external environment. Such actions may not only allow for the mere learning of expected values or utilities but also for acquiring knowledge about the causal structure of our world. We used a repeated decision-making paradigm to examine what kind of knowledge people acquire in such situations and how they use their knowledge to adapt to changes in the decision context. Our studies show that decision makers' behavior is strongly contingent on their causal beliefs and that people exploit their causal knowledge to assess the consequences of changes in the decision problem. A high consistency between hypotheses about causal structure, causally expected values, and actual choices was observed. The experiments show that (a) existing causal hypotheses guide the interpretation of decision feedback, (b) consequences of decisions are used to revise existing causal beliefs, and (c) decision makers use the experienced feedback to induce a causal model of the choice situation even when they have no initial causal hypotheses, which (d) enables them to adapt their choices to changes of the decision problem. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

Developing decision-relevant data and information systems for California water through listening and collaboration

NASA Astrophysics Data System (ADS)

Bales, R. C.; Bernacchi, L.; Conklin, M. H.; Viers, J. H.; Fogg, G. E.; Fisher, A. T.; Kiparsky, M.

2017-12-01

California's historic drought of 2011-2015 provided excellent conditions for researchers to listen to water-management challenges from decision makers, particularly with regard to data and information needs for improved decision making. Through the UC Water Security and Sustainability Research Initiative (http://ucwater.org/) we began a multi-year dialog with water-resources decision makers and state agencies that provide data and technical support for water management. Near-term products of that collaboration will be both a vision for a 21st-century water data and information system, and near-term steps to meet immediate legislative deadlines in a way that is consistent with the longer-term vision. While many university-based water researchers engage with state and local agencies on both science and policy challenges, UC Water's focus was on: i) integrated system management, from headwaters through groundwater and agriculture, and on ii) improved decision making through better water information systems. This focus aligned with the recognition by water leaders that fundamental changes in the way the state manages water were overdue. UC Water is focused on three "I"s: improved water information, empowering Institutions to use and to create new information, and enabling decision makers to make smart investments in both green and grey Infrastructure. Effective communication with water decision makers has led to engagement on high-priority programs where large knowledge gaps remain, including more-widespread groundwater recharge of storm flows, restoration of mountain forests in important source-water areas, governance structures for groundwater sustainability, and filling information gaps by bringing new technology to bear on measurement and data programs. Continuing engagement of UC Water researchers in public dialog around water resources, through opinion pieces, feature articles, blogs, white papers, social media, video clips and a feature documentary film have also been key to our continuing engagement. These novel partnerships are leading to decision-relevant tools and an improved integrated praxis in on-the-ground water-resources management. Our research is becoming more embedded in policies and our network remains interconnected with decision makers at multiple levels.

The GRADE Evidence to Decision (EtD) framework for health system and public health decisions.

PubMed

Moberg, Jenny; Oxman, Andrew D; Rosenbaum, Sarah; Schünemann, Holger J; Guyatt, Gordon; Flottorp, Signe; Glenton, Claire; Lewin, Simon; Morelli, Angela; Rada, Gabriel; Alonso-Coello, Pablo

2018-05-29

To describe a framework for people making and using evidence-informed health system and public health recommendations and decisions. We developed the GRADE Evidence to Decision (EtD) framework for health system and public health decisions as part of the DECIDE project, in which we simultaneously developed frameworks for these and other types of healthcare decisions, including clinical recommendations, coverage decisions and decisions about diagnostic tests. Building on GRADE EtD tables, we used an iterative approach, including brainstorming, consultation of the literature and with stakeholders, and an international survey of policy-makers. We applied the framework to diverse examples, conducted workshops and user testing with health system and public health guideline developers and policy-makers, and observed and tested its use in real-life guideline panels. All the GRADE EtD frameworks share the same basic structure, including sections for formulating the question, making an assessment and drawing conclusions. Criteria listed in the assessment section of the health system and public health framework cover the important factors for making these types of decisions; in addition to the effects and economic impact of an option, the priority of the problem, the impact of the option on equity, and its acceptability and feasibility are important considerations that can inform both whether and how to implement an option. Because health system and public health interventions are often complex, detailed implementation considerations should be made when making a decision. The certainty of the evidence is often low or very low, but decision-makers must still act. Monitoring and evaluation are therefore often important considerations for these types of decisions. We illustrate the different components of the EtD framework for health system and public health decisions by presenting their application in a framework adapted from a real-life guideline. This framework provides a structured and transparent approach to support policy-making informed by the best available research evidence, while making the basis for decisions accessible to those whom they will affect. The health system and public health EtD framework can also be used to facilitate dissemination of recommendations and enable decision-makers to adopt, and adapt, recommendations or decisions.

The National Atlas of Ecosystem Services: Spatially Explicit Characterization of Ecosystem Services

EPA Science Inventory

The US EPA’s Ecosystem Services Research Program (ESRP) is conducting transdisciplinary research to develop tools to enable decision-makers at all levels of governance to proactively conserve ecosystem services. One of these tools is a National Atlas of Ecosystem Services which ...

Leadership in ICT Integration and Its Impact on the Haitian Economy

ERIC Educational Resources Information Center

Louis-Jacques, Carmel G.

2013-01-01

As attention increasingly focuses on the role of information communication technology (ICT) in augmenting the efficiency of institutions, researchers have postulated that implementation of effective ICT enables decision makers to explore opportunities and maximize benefits. Review of current literature revealed a lack of information on how Haitian…

Data Mashups: Potential Contribution to Decision Support on Climate Change and Health

PubMed Central

Fleming, Lora E.; Haines, Andy; Golding, Brian; Kessel, Anthony; Cichowska, Anna; Sabel, Clive E.; Depledge, Michael H.; Sarran, Christophe; Osborne, Nicholas J.; Whitmore, Ceri; Cocksedge, Nicola; Bloomfield, Daniel

2014-01-01

Linking environmental, socioeconomic and health datasets provides new insights into the potential associations between climate change and human health and wellbeing, and underpins the development of decision support tools that will promote resilience to climate change, and thus enable more effective adaptation. This paper outlines the challenges and opportunities presented by advances in data collection, storage, analysis, and access, particularly focusing on “data mashups”. These data mashups are integrations of different types and sources of data, frequently using open application programming interfaces and data sources, to produce enriched results that were not necessarily the original reason for assembling the raw source data. As an illustration of this potential, this paper describes a recently funded initiative to create such a facility in the UK for use in decision support around climate change and health, and provides examples of suitable sources of data and the purposes to which they can be directed, particularly for policy makers and public health decision makers. PMID:24499879

Data mashups: potential contribution to decision support on climate change and health.

PubMed

Fleming, Lora E; Haines, Andy; Golding, Brian; Kessel, Anthony; Cichowska, Anna; Sabel, Clive E; Depledge, Michael H; Sarran, Christophe; Osborne, Nicholas J; Whitmore, Ceri; Cocksedge, Nicola; Bloomfield, Daniel

2014-02-04

Linking environmental, socioeconomic and health datasets provides new insights into the potential associations between climate change and human health and wellbeing, and underpins the development of decision support tools that will promote resilience to climate change, and thus enable more effective adaptation. This paper outlines the challenges and opportunities presented by advances in data collection, storage, analysis, and access, particularly focusing on "data mashups". These data mashups are integrations of different types and sources of data, frequently using open application programming interfaces and data sources, to produce enriched results that were not necessarily the original reason for assembling the raw source data. As an illustration of this potential, this paper describes a recently funded initiative to create such a facility in the UK for use in decision support around climate change and health, and provides examples of suitable sources of data and the purposes to which they can be directed, particularly for policy makers and public health decision makers.

Factors influencing decision regret regarding placement of a PEG among substitute decision-makers of older persons in Japan: a prospective study.

PubMed

Kuraoka, Yumiko; Nakayama, Kazuhiro

2017-06-28

A tube feeding decision aid designed at the Ottawa Health Research Institute was specifically created for substitute decision-makers who must decide whether to allow placement of a percutaneous endoscopic gastrostomy (PEG) tube in a cognitively impaired older person. We developed a Japanese version and found that the decision aid promoted the decision-making process of substitute decision-makers to decrease decisional conflict and increase knowledge. However, the factors that influence decision regret among substitute decision-makers were not measured after the decision was made. The objective of this study was to explore the factors that influence decision regret among substitute decision-makers 6 months after using a decision aid for PEG placement. In this prospective study, participants comprised substitute decision-makers for 45 inpatients aged 65 years and older who were being considered for placement of a PEG tube in hospitals, nursing homes and patients' homes in Japan. The Decisional Conflict Scale (DCS) was used to evaluate decisional conflict among substitute decision-makers immediately after deciding whether to introduce tube feeding and the Decision Regret Scale (DRS) was used to evaluate decisional regret among substitute decision-makers 6 months after they made their decision. Normalized scores were evaluated and analysis of variance was used to compare groups. The results of the multiple regression analysis suggest that PEG placement (P < .01) and decision conflict (P < .001) are explanatory factors of decision regret regarding placement of a PEG among substitute decision-makers. PEG placement and decision conflict immediately after deciding whether to allow PEG placement have an influence on decision regret among substitute decision-makers after 6 months.

What do decision makers learn from public forums on climate-related hazards and resilience?

NASA Astrophysics Data System (ADS)

Weller, N.; Farooque, M.; Sittenfeld, D.

2017-12-01

Public engagement around climate resilience efforts can foster learning for both public audiences and decision makers. On the one hand, public audiences learn about environmental hazards and strategies to increase community resilience through effective public engagement. On the other, decision makers and scientists learn about community members' values and priorities and their relation to environmental hazards and resilience strategies. Evidence from other public engagement efforts involving decision makers suggests that decision maker involvement results in reflection by officials on their own values, capacities, and roles. However, few public engagement exercises evaluate impacts on decision makers. As part of the Science Center Public Forums project, which aims to conduct public forums in eight cities across the country on resiliency to drought, heat, extreme precipitation, and sea level rise, we sought to 1) build partnerships with local decision makers and scientists around public forums and 2) explore how decision makers and scientists interacted with the planning and undertaking of those public forums. We held workshops with decision makers and scientists to inform forum content and identify local resilience issues. We will conduct interviews with local decision makers regarding their involvement in forum planning, their reflections and takeaways from the forum itself, and their perspectives on the value of public engagement for policy making. We will present our model of engagement with decision makers, initial findings from interviews, and lessons learned from connecting decision makers and scientists to public engagement efforts.

Engaging the US Military and Local Communities in Planning for Coastal Flooding Risks

NASA Astrophysics Data System (ADS)

Caldas, A.; Dahl, K. A.; Spanger-Siegfried, E.; Udvardy, S.

2016-12-01

Given their central role in U.S. national security, military installations have historically been well protected. But sea level rise, increased tidal flooding, and heightened storm surges have already been observed in several installations. Understanding and preparing for these risks falls to at least three sets of decision-makers: 1) Military leadership responsible for long-term assessment of installation viability; 2) Planners at each military installation who are responsible for day-to-day decision-making; and 3) Local policy-makers and their constituents, who have vested interests in protecting their assets and communities. To enable decision makers in each of these groups to better understand these risks, and how they may unfold this century, the Union of Concerned Scientists (UCS) designed and executed an analysis of coastal flooding risk as sea level rises. At the outset, we engaged experts from the Department of Defense for input on key questions such as which installations to focus on and which sea level rise projections they found most compelling and most credible. With this input, we analyzed the changing risk of coastal flooding at 18 installations along the US East and Gulf Coasts. When we had preliminary results, we engaged planners at as many installations as possible in reviews of the results. Engaging policy-makers and their constituents is ongoing: As part of the report release, we sent press releases to news outlets both large and small, and report authors were available for interviews, press releases, and Congressional staff briefings. Furthermore, we made all results available in publicly accessible online repositories. By engaging subject matter experts in both the planning and initial review of results, then maximizing transparency and availability upon the publication of our analyses, we have produced an analysis that is relevant to all three sets of decision-makers.

The use of AQUATOOL DSS applied to the System of Environmental-Economic Accounting for Water (SEEAW)

NASA Astrophysics Data System (ADS)

Pedro-Monzonís, María; Jiménez-Fernández, Pedro; Solera, Abel; Jiménez-Gavilán, Pablo

2016-02-01

Currently, water accounts are one of the next steps to be implemented in European River Basin Management Plans. Building water accounts is a complex task, mainly due to the lack of common European definitions and procedures. For their development, when data is not systematically measured, simulation models and estimations are necessary. The main idea of this paper is to present a new approach which enables the combined use of hydrological models and water resources models developed with AQUATOOL Decision Support System (DSS) to fill in the physical water supply and use tables and the asset accounts presented in the System of Economic and Environmental Accounts for Water (SEEAW). The case study is the Vélez River Basin, located in the southern part of the Iberian Peninsula in Spain. In addition to obtaining the physical water supply and use tables and the asset accounts in this river basin, we present here the indicators as a result thereof. These indicators cover many critical aspects of water management, showing a general description of the river basin and allowing decision-makers to characterise the pressures on water resources. As a general conclusion, the union of AQUATOOL DSS and SEEAW will provide more complete information to decision-makers and it enables to introduce these methodological decisions in order to guarantee consistency and comparability of the results between different river basins.

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.

An innovative approach to addressing childhood obesity: a knowledge-based infrastructure for supporting multi-stakeholder partnership decision-making in Quebec, Canada.

PubMed

Addy, Nii Antiaye; Shaban-Nejad, Arash; Buckeridge, David L; Dubé, Laurette

2015-01-23

Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a "portrait", which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources. In the future, software interacting with the ontology can facilitate interactive browsing by decision-makers in the MSP in the form of concepts, instances, relationships, and axioms. Our ontology also facilitates the integration and interpretation of community data, and can help in managing semantic interoperability between different knowledge sources. Future work will focus on defining specifications for the development of a database of indicators and an information system to help decision-makers to view, analyze and organize indicators for their community. This work should improve MSP decision-making in the development of interventions to address childhood obesity.

An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada

PubMed Central

Addy, Nii Antiaye; Shaban-Nejad, Arash; Buckeridge, David L.; Dubé, Laurette

2015-01-01

Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a “portrait”, which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources. In the future, software interacting with the ontology can facilitate interactive browsing by decision-makers in the MSP in the form of concepts, instances, relationships, and axioms. Our ontology also facilitates the integration and interpretation of community data, and can help in managing semantic interoperability between different knowledge sources. Future work will focus on defining specifications for the development of a database of indicators and an information system to help decision-makers to view, analyze and organize indicators for their community. This work should improve MSP decision-making in the development of interventions to address childhood obesity. PMID:25625409

User Driven Data Mining, Visualization and Decision Making for NOAA Observing System and Data Investments

NASA Astrophysics Data System (ADS)

Austin, M.

2016-12-01

The National Oceanic and Atmospheric Administration (NOAA) observing system enterprise represents a $2.4B annual investment. Earth observations from these systems are foundational to NOAA's mission to describe, understand, and predict the Earth's environment. NOAA's decision makers are charged with managing this complex portfolio of observing systems to serve the national interest effectively and efficiently. The Technology Planning & Integration for Observation (TPIO) Office currently maintains an observing system portfolio for NOAA's validated user observation requirements, observing capabilities, and resulting data products and services. TPIO performs data analytics to provide NOAA leadership business case recommendations for making sound budgetary decisions. Over the last year, TPIO has moved from massive spreadsheets to intuitive dashboards that enable Federal agencies as well as the general public the ability to explore user observation requirements and environmental observing systems that monitor and predict changes in the environment. This change has led to an organizational data management shift to analytics and visualizations by allowing analysts more time to focus on understanding the data, discovering insights, and effectively communicating the information to decision makers. Moving forward, the next step is to facilitate a cultural change toward self-serve data sharing across NOAA, other Federal agencies, and the public using intuitive data visualizations that answer relevant business questions for users of NOAA's Observing System Enterprise. Users and producers of environmental data will become aware of the need for enhancing communication to simplify information exchange to achieve multipurpose goals across a variety of disciplines. NOAA cannot achieve its goal of producing environmental intelligence without data that can be shared by multiple user communities. This presentation will describe where we are on this journey and will provide examples of these visualizations, promoting a better understanding of NOAA's environmental sensing capabilities that enable improved communication to decision makers in an effective and intuitive manner.

Family Communication about End-of-Life Decisions and the Enactment of the Decision-Maker Role.

PubMed

Trees, April R; Ohs, Jennifer E; Murray, Meghan C

2017-06-07

End-of-life (EOL) decisions in families are complex and emotional sites of family interaction necessitating family members coordinate roles in the EOL decision-making process. How family members in the United States enact the decision-maker role in EOL decision situations was examined through in-depth interviews with 22 individuals who participated in EOL decision-making for a family member. A number of themes emerged from the data with regard to the enactment of the decision-maker role. Families varied in how decision makers enacted the role in relation to collective family input, with consulting, informing and collaborating as different patterns of behavior. Formal family roles along with gender- and age-based roles shaped who took on the decision-maker role. Additionally, both family members and medical professionals facilitated or undermined the decision-maker's role enactment. Understanding the structure and enactment of the decision-maker role in family interaction provides insight into how individuals and/or family members perform the decision-making role within a cultural context that values autonomy and self-determination in combination with collective family action in EOL decision-making.

Delivering on Equity: Implications for Decision-Makers. Issue Brief #1

ERIC Educational Resources Information Center

Stonemeier, Jennifer; Trader, Barb; Richards, Curtis; Blank, Rolf; East, Bill; Toson, Amy

2013-01-01

The SWIFT Center will demonstrate how schools can be transformed to provide inclusive educational opportunities for all students. The SWIFT Center will address the key American goal of equal educational opportunity by assisting schools to reorganize in ways that enable them to fully deliver on inclusive, general education for all…

Dynamic Attack Tree Tool for Risk Assessments

DOE Office of Scientific and Technical Information (OSTI.GOV)

Black, Karl

2012-03-13

DATT enables interactive visualization, qualitative analysis and recording of cyber and other forms of risk. It facilitates dynamic risk-based approaches (as opposed to static compliance-based) to security and risk management in general. DATT allows decision makers to consistently prioritize risk mitigation strategies and quickly see where attention is most needed across the enterprise.

User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Adams, Brian M.; Coleman, Kayla; Hooper, Russell

2016-11-01

Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to enhance understanding of risk, improve products, and assess simulation credibility.

Voice from Lawrence, Kansas: Diverse Adult Learners in a University Community

ERIC Educational Resources Information Center

White, Angela; Herrod, Norma

2007-01-01

This article focuses on the Lawrence Adult Learning Center, the only program in Kansas offering Adult Basic Education. The LALC has been a program on wheels, always moving to another location. Its mission is to enable adult students to: acquire appropriate skills and knowledge necessary to become informed decision makers and effective…

49 CFR 1503.659 - Petition to reconsider or modify a final decision and order of the TSA decision maker on appeal.

Code of Federal Regulations, 2010 CFR

2010-10-01

... and order of the TSA decision maker on appeal. 1503.659 Section 1503.659 Transportation Other... Practice in TSA Civil Penalty Actions § 1503.659 Petition to reconsider or modify a final decision and order of the TSA decision maker on appeal. (a) General. Any party may petition the TSA decision maker to...

Integrated study plan for space bioprocessing (phase 1)

NASA Technical Reports Server (NTRS)

1977-01-01

Current economic evaluation and analytical techniques are applied to decision problems faced by the space bioprocessing program. NASA decision makers are enabled to choose candidate substances, after ranking them according to their potential economic benefit. The determination of appropriate evaluation techniques necessary to obtain measures of potential economic benefits which result from the pursuit of various space bioprocessing endeavors are focused upon. The treatment of each disease is impacted by a successful outcome of space bioprocessing and specify data and other input needs for each candidate substance.

Human Cognitive Limitations. Broad, Consistent, Clinical Application of Physiological Principles Will Require Decision Support.

PubMed

Morris, Alan H

2018-02-01

Our education system seems to fail to enable clinicians to broadly understand core physiological principles. The emphasis on reductionist science, including "omics" branches of research, has likely contributed to this decrease in understanding. Consequently, clinicians cannot be expected to consistently make clinical decisions linked to best physiological evidence. This is a large-scale problem with multiple determinants, within an even larger clinical decision problem: the failure of clinicians to consistently link their decisions to best evidence. Clinicians, like all human decision-makers, suffer from significant cognitive limitations. Detailed context-sensitive computer protocols can generate personalized medicine instructions that are well matched to individual patient needs over time and can partially resolve this problem.

Appropriateness for Total Joint Replacement: Perspectives of Decision-Makers

PubMed Central

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

Variables Influencing the Return on Investment in Management Training Programs: A Utility Analysis of 10 Swiss Cases

ERIC Educational Resources Information Center

Chochard, Yves; Davoine, Eric

2011-01-01

In this article, we present the utility analysis approach as an alternative and promising approach to measure the return on investment in managerial training programs. This approach, linking economic value with competencies developed by trainees, enables researchers and decision-makers to compare the return on investment from different programs in…

Role of land use planning in noise control

Treesearch

Stephanie J. Caswell; Karl Jakus

1977-01-01

A method for controlling outdoor noise through land use planning is presented. The method utilizes a computer model that broadly assesses the likely noise environments of a community on the basis of generalized land use and highway noise production and transmission conditions. The method is designed to enable town planners and other community decision-makers to...

2007 Precision Strike Annual Programs Review

DTIC Science & Technology

2007-04-25

Adapting our methods • Remaining a flexible combined-arms force • Enabling a generation of combat- experienced decision-makers by distributing...Sustain Propulsion Network RadioMEMS IMU Flexible Engagement Options Requirements Capabilities Precision Attack Missile (PAM) 67” (with Canister...Aimpoint 6 PAM Seeker Modes PAM’s Multiple Targeting Modes Increase Flexibility , Improve Lethality PAM’s Multiple Targeting Modes Increase Flexibility

Development of WMS Capabilities to Support NASA Disasters Applications and App Development

NASA Astrophysics Data System (ADS)

Bell, J. R.; Burks, J. E.; Molthan, A.; McGrath, K. M.

2013-12-01

During the last year several significant disasters have occurred such as Superstorm Sandy on the East coast of the United States, and Typhoon Bopha in the Phillipines, along with several others. In support of these disasters NASA's Short-term Prediction Research and Transition (SPoRT) Center delivered various products derived from satellite imagery to help in the assessment of damage and recovery of the affected areas. To better support the decision makers responding to the disasters SPoRT quickly developed several solutions to provide the data using open Geographical Information Service (GIS) formats. Providing the data in open GIS standard formats allowed the end user to easily integrate the data into existing Decision Support Systems (DSS). Both Tile Mapping Service (TMS) and Web Mapping Service (WMS) were leveraged to quickly provide the data to the end-user. Development of the deliver methodology allowed quick response to rapidly developing disasters and enabled NASA SPoRT to bring science data to decision makers in a successful research to operations transition.

Development of WMS Capabilities to Support NASA Disasters Applications and App Development

NASA Technical Reports Server (NTRS)

Bell, Jordan R.; Burks, Jason E.; Molthan, Andrew L.; McGrath, Kevin M.

2013-01-01

During the last year several significant disasters have occurred such as Superstorm Sandy on the East coast of the United States, and Typhoon Bopha in the Phillipines, along with several others. In support of these disasters NASA's Short-term Prediction Research and Transition (SPoRT) Center delivered various products derived from satellite imagery to help in the assessment of damage and recovery of the affected areas. To better support the decision makers responding to the disasters SPoRT quickly developed several solutions to provide the data using open Geographical Information Service (GIS) formats. Providing the data in open GIS standard formats allowed the end user to easily integrate the data into existing Decision Support Systems (DSS). Both Tile Mapping Service (TMS) and Web Mapping Service (WMS) were leveraged to quickly provide the data to the end-user. Development of the deliver methodology allowed quick response to rapidly developing disasters and enabled NASA SPoRT to bring science data to decision makers in a successful research to operations transition.

Development of Web Mapping Service Capabilities to Support NASA Disasters Applications/App Development

NASA Technical Reports Server (NTRS)

Burks, Jason E.; Molthan, Andrew L.; McGrath, Kevin M.

2014-01-01

During the last year several significant disasters have occurred such as Superstorm Sandy on the East coast of the United States, and Typhoon Bopha in the Phillipines, along with several others. In support of these disasters NASA's Short-term Prediction Research and Transition (SPoRT) Center delivered various products derived from satellite imagery to help in the assessment of damage and recovery of the affected areas. To better support the decision makers responding to the disasters SPoRT quickly developed several solutions to provide the data using open Geographical Information Service (GIS) formats. Providing the data in open GIS standard formats allowed the end user to easily integrate the data into existing Decision Support Systems (DSS). Both Tile Mapping Service (TMS) and Web Mapping Service (WMS) were leveraged to quickly provide the data to the end-user. Development of the deliver methodology allowed quick response to rapidly developing disasters and enabled NASA SPoRT to bring science data to decision makers in a successful research to operations transition.

Development of Web Mapping Service Capabilities to Support NASA Disasters Applications / App Development

NASA Technical Reports Server (NTRS)

Burks, Jason E.; Molthan, Andrew L.; McGrath, Kevin M.

2014-01-01

During the last year several significant disasters have occurred such as Superstorm Sandy on the East coast of the United States, and Typhoon Bopha in the Phillipines, along with several others. In support of these disasters NASA's Short-term Prediction Research and Transition (SPoRT) Center delivered various products derived from satellite imagery to help in the assessment of damage and recovery of the affected areas. To better support the decision makers responding to the disasters SPoRT quickly developed several solutions to provide the data using open Geographical Information Service (GIS) formats. Providing the data in open GIS standard formats allowed the end user to easily integrate the data into existing Decision Support Systems (DSS). Both Tile Mapping Service (TMS) and Web Mapping Service (WMS) were leveraged to quickly provide the data to the end-user. Development of the deliver methodology allowed quick response to rapidly developing disasters and enabled NASA SPoRT to bring science data to decision makers in a successful research to operations transition.

Voices of decision makers on evidence-based policy: A case of evolving TB/HIV co-infection policy in India.

PubMed

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.

Decisions reduce sensitivity to subsequent information.

PubMed

Bronfman, Zohar Z; Brezis, Noam; Moran, Rani; Tsetsos, Konstantinos; Donner, Tobias; Usher, Marius

2015-07-07

Behavioural studies over half a century indicate that making categorical choices alters beliefs about the state of the world. People seem biased to confirm previous choices, and to suppress contradicting information. These choice-dependent biases imply a fundamental bound of human rationality. However, it remains unclear whether these effects extend to lower level decisions, and only little is known about the computational mechanisms underlying them. Building on the framework of sequential-sampling models of decision-making, we developed novel psychophysical protocols that enable us to dissect quantitatively how choices affect the way decision-makers accumulate additional noisy evidence. We find robust choice-induced biases in the accumulation of abstract numerical (experiment 1) and low-level perceptual (experiment 2) evidence. These biases deteriorate estimations of the mean value of the numerical sequence (experiment 1) and reduce the likelihood to revise decisions (experiment 2). Computational modelling reveals that choices trigger a reduction of sensitivity to subsequent evidence via multiplicative gain modulation, rather than shifting the decision variable towards the chosen alternative in an additive fashion. Our results thus show that categorical choices alter the evidence accumulation mechanism itself, rather than just its outcome, rendering the decision-maker less sensitive to new information. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

Copernicus: a quantum leap in Earth Observation

NASA Astrophysics Data System (ADS)

Aschbacher, Josef

2015-04-01

Copernicus is the most ambitious, most comprehensive Earth observation system world-wide. It aims at giving decision-makers better information to act upon, at global, continental, national and regional level. The European Union (EU) leads the overall programme, while the European Space Agency (ESA) coordinates the space component. Similar to meteorology, satellite data is combined with data from airborne and ground sensors to provide a holistic view of the state of the planet. All these data are fed into a range of thematic information services designed to benefit the environment and to support policy-makers and other stakeholders to make decisions, coordinate policy areas, and formulate strategies relating to the environment. Moreover, the data will also be used for predicting future climate trends. Never has such a comprehensive Earth-observation based system been in place before. It will be fully integrated into an informed decision making process, thus enabling economic and social benefits through better access to information globally. A key feature of Copernicus is the free and open data policy of the Sentinel satellite data. This will enable that Earth observation based information enters completely new domains of daily life. High quality, regularly updated satellite observations become available for basically everyone. To ensure universal access new ground segment and data access concepts need to be developed. As more data are made available, better decisions can made, more business will be created and science and research can be achieved through the upcoming Sentinel data.

Attunement and alignment of people with schizophrenia and their preferred alternative decision-makers: An exploratory pilot study comparing treatment and research decisions.

PubMed

Roberts, Laura Weiss; Kim, Jane Paik

2015-12-01

Schizophrenia is a serious mental disorder that may affect the decisional capacity, and as a consequence, preferred alternative decision-makers may be engaged to help with clinical care and research-related choices. Ideally, alternative decision-makers will seek to make decisions that fit with the views and preferences of the ill individual. Few data exist, however, comparing the views of alternative decision-makers to those of individuals with schizophrenia. We conducted a written survey with individuals with schizophrenia living in a community setting, and a parallel survey with the person whom the ill individual identified as being a preferred alternative decision-maker. Complete data were obtained on 20 pairs (n = 40, total). Domains queried included (a) burden, happiness, and safety of the ill individual and of his or her family in treatment and research decisions and (b) importance of ethical principles in every day life. Two-sided paired t-tests and graphical summaries were used to compare responses. Individuals with schizophrenia and their linked preferred alternative decision-makers were attuned on four of six aspects of treatment decision-making and on all six aspects of research decision-making that we queried. The preferred alternative decision-makers overall demonstrated attunement to the views of the ill individuals in this small study. Ill individuals and their preferred alternative decision-makers were aligned in their views of ethically-salient aspects of every day life. These novel findings suggest that alternative decision-makers identified by ill individuals may be able to guide choices based on an accurate understanding of the ill individuals' views and values. Copyright © 2015 Elsevier Ltd. All rights reserved.

Creating dialogue: a workshop on "Uncertainty in Decision Making in a Changing Climate"

NASA Astrophysics Data System (ADS)

Ewen, Tracy; Addor, Nans; Johnson, Leigh; Coltekin, Arzu; Derungs, Curdin; Muccione, Veruska

2014-05-01

Uncertainty is present in all fields of climate research, spanning from projections of future climate change, to assessing regional impacts and vulnerabilities, to adaptation policy and decision-making. In addition to uncertainties, managers and planners in many sectors are often confronted with large amounts of information from climate change research whose complex and interdisciplinary nature make it challenging to incorporate into the decision-making process. An overarching issue in tackling this problem is the lack of institutionalized dialogue between climate researchers, decision-makers and user groups. Forums that facilitate such dialogue would allow climate researchers to actively engage with end-users and researchers in different disciplines to better characterize uncertainties and ultimately understand which ones are critically considered and incorporated into decisions made. We propose that the introduction of students to these challenges at an early stage of their education and career is a first step towards improving future dialogue between climate researchers, decision-makers and user groups. To this end, we organized a workshop at the University of Zurich, Switzerland, entitled "Uncertainty in Decision Making in a Changing Climate". It brought together 50 participants, including Bachelor, Master and PhD students and academic staff, and nine selected speakers from academia, industry, government, and philanthropy. Speakers introduced participants to topics ranging from uncertainties in climate model scenarios to managing uncertainties in development and aid agencies. The workshop consisted of experts' presentations, a panel discussion and student group work on case studies. Pedagogical goals included i) providing participants with an overview of the current research on uncertainty and on how uncertainty is dealt with by decision-makers, ii) fostering exchange between practitioners, students, and scientists from different backgrounds, iii) exposing students, at an early stage of their professional life, to multidisciplinary collaborations and real-world problems involving decisions under uncertainty. An opinion survey conducted before and after the workshop enabled us to observe changes in participants' perspectives on what information and tools should be exchanged between researchers and decision-makers to better address uncertainty. Responses demonstrated a marked shift from a pre-workshop vertical conceptualizations of researcher—user group interaction to a post-workshop horizontal mode: in the former, researchers were portrayed as bestowing data-based products to decision-makers, while in the latter, both sets of actors engaged in institutionalized dialogues and frequent communication, exchanging their needs, expertise, and personnel. In addition to the survey, we will draw on examples from the course evaluation to illustrate the strengths and weaknesses of our approach. By doing so, we seek to encourage the organization of similar events by other universities, with the mid-term goal to improve future dialogue. From a pedagogical perspective, introducing students to these ideas at a very early stage in their research careers is an ideal opportunity to establish new modes of communication with an interdisciplinary perspective and strengthen dialogue between climate researchers, decision-makers and user groups.

Bridging the gap between science and decision making.

PubMed

von Winterfeldt, Detlof

2013-08-20

All decisions, whether they are personal, public, or business-related, are based on the decision maker's beliefs and values. Science can and should help decision makers by shaping their beliefs. Unfortunately, science is not easily accessible to decision makers, and scientists often do not understand decision makers' information needs. This article presents a framework for bridging the gap between science and decision making and illustrates it with two examples. The first example is a personal health decision. It shows how a formal representation of the beliefs and values can reflect scientific inputs by a physician to combine with the values held by the decision maker to inform a medical choice. The second example is a public policy decision about managing a potential environmental hazard. It illustrates how controversial beliefs can be reflected as uncertainties and informed by science to make better decisions. Both examples use decision analysis to bridge science and decisions. The conclusions suggest that this can be a helpful process that requires skills in both science and decision making.

The neglected heart of science policy (revisited): Balancing knowledge and action in an age of science and technology

NASA Astrophysics Data System (ADS)

Parris, A. S.; Ferguson, D. B.

2016-12-01

In the U.S., the need for effective scientist-decision maker engagement is explicitly endorsed at the highest levels of national science policy-making, including the annual research and development priorities memo of the Executive Office for fiscal year 2017. The call from the Executive Office formalizes a long-standing recognition, among a minority of scientists and practitioners, that the public value of research activities may be enhanced through engagement between scientists and decision makers. However, engagement is often embedded in research efforts, despite the fact that the ability to foster relationships and improve knowledge exchange has progressed primarily through boundary spanning efforts. Consequently, sound practice for engagement is not adequately considered in the design of new institutions, programs, and career development tracks. This gap illustrates a lack of formal learning in science policy and is critical because engagement and, specifically, co-production of knowledge are proving effective in adapting to global change. We examined over 10 different case studies spanning urban planning, natural resource management, and water management. In each case, deliberate strategies were employed to encourage decision maker-scientist engagement, including the formation of new organizations, innovative design of research projects, and training and education for professionals to participate in engagement efforts. Individual cases reveal several outcomes, including but not limited to: increased awareness of risk; information that enabled adaptation or resilience choices; exchange between decision makers from different sectors leading to more coordinated responses to natural resource impacts; and mediation for responsible use of science. Collectively, the body of evidence suggests that engagement may be most important not necessarily in reconciling supply and demand for science, but rebalancing knowledge and action in an age of science and technology.

Costs and benefits of communicating product safety information to the public via the Internet.

PubMed

Saoutert, Erwan; Andreasen, Ina

2006-04-01

Procter & Gamble (P&G) developed Science-in-the-Box (SIB; www.scienceinthebox.com) after discussions with their stakeholders as to how the consumer products company could better communicate key environmental performance and safety information to the public. A series of workshops enabled P&G to understand that consumers and other key business decision makers wanted meaningful information about the science behind P&G products. In addition, it was clear that making such information available would produce business benefits by encouraging long-term relationships with decision makers ranging from consumers and retailers to policy makers and nongovernmental organizations. These benefits were not necessarily quantifiable in the short term, but they still had to be balanced by the costs in terms of resource commitment and potential intellectual property issues. Since its inception in September 2002, SIB has successfully reached key target audiences and built improved credibility and confidence in P&G products and approaches. The website is now available in English, French, Spanish, German, and Italian and is used by consumers, journalists, teachers, scientists, and policy makers. Several user surveys carried out during the initial developmental period, together with unsolicited e-mail feedback, have demonstrated that SIB has successfully created a platform for continuous dialogue with consumers and other interested parties.

Trusted Advisors, Decision Models and Other Keys to Communicating Science to Decision Makers

NASA Astrophysics Data System (ADS)

Webb, E.

2006-12-01

Water resource management decisions often involve multiple parties engaged in contentious negotiations that try to navigate through complex combinations of legal, social, hydrologic, financial, and engineering considerations. The standard approach for resolving these issues is some form of multi-party negotiation, a formal court decision, or a combination of the two. In all these cases, the role of the decision maker(s) is to choose and implement the best option that fits the needs and wants of the community. However, each path to a decision carries the risk of technical and/or financial infeasibility as well as the possibility of unintended consequences. To help reduce this risk, decision makers often rely on some type of predictive analysis from which they can evaluate the projected consequences of their decisions. Typically, decision makers are supported in the analysis process by trusted advisors who engage in the analysis as well as the day to day tasks associated with multi-party negotiations. In the case of water resource management, the analysis is frequently a numerical model or set of models that can simulate various management decisions across multiple systems and output results that illustrate the impact on areas of concern. Thus, in order to communicate scientific knowledge to the decision makers, the quality of the communication between the analysts, the trusted advisor, and the decision maker must be clear and direct. To illustrate this concept, a multi-attribute decision analysis matrix will be used to outline the value of computer model-based collaborative negotiation approaches to guide water resources decision making and communication with decision makers. In addition, the critical role of the trusted advisor and other secondary participants in the decision process will be discussed using examples from recent water negotiations.

WeightLifter: Visual Weight Space Exploration for Multi-Criteria Decision Making.

PubMed

Pajer, Stephan; Streit, Marc; Torsney-Weir, Thomas; Spechtenhauser, Florian; Muller, Torsten; Piringer, Harald

2017-01-01

A common strategy in Multi-Criteria Decision Making (MCDM) is to rank alternative solutions by weighted summary scores. Weights, however, are often abstract to the decision maker and can only be set by vague intuition. While previous work supports a point-wise exploration of weight spaces, we argue that MCDM can benefit from a regional and global visual analysis of weight spaces. Our main contribution is WeightLifter, a novel interactive visualization technique for weight-based MCDM that facilitates the exploration of weight spaces with up to ten criteria. Our technique enables users to better understand the sensitivity of a decision to changes of weights, to efficiently localize weight regions where a given solution ranks high, and to filter out solutions which do not rank high enough for any plausible combination of weights. We provide a comprehensive requirement analysis for weight-based MCDM and describe an interactive workflow that meets these requirements. For evaluation, we describe a usage scenario of WeightLifter in automotive engineering and report qualitative feedback from users of a deployed version as well as preliminary feedback from decision makers in multiple domains. This feedback confirms that WeightLifter increases both the efficiency of weight-based MCDM and the awareness of uncertainty in the ultimate decisions.

American Recovery and Reinvestment Act of 2009. Interim Report on Customer Acceptance, Retention, and Response to Time-Based Rates from the Consumer Behavior Studies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cappers, Peter; Hans, Liesel; Scheer, Richard

Time-based rate programs1, enabled by utility investments in advanced metering infrastructure (AMI), are increasingly being considered by utilities as tools to reduce peak demand and enable customers to better manage consumption and costs. There are several customer systems that are relatively new to the marketplace and have the potential for improving the effectiveness of these programs, including in-home displays (IHDs), programmable communicating thermostats (PCTs), and web portals. Policy and decision makers are interested in more information about customer acceptance, retention, and response before moving forward with expanded deployments of AMI-enabled new rates and technologies. Under the Smart Grid Investment Grantmore » Program (SGIG), the U.S. Department of Energy (DOE) partnered with several utilities to conduct consumer behavior studies (CBS). The goals involved applying randomized and controlled experimental designs for estimating customer responses more precisely and credibly to advance understanding of time-based rates and customer systems, and provide new information for improving program designs, implementation strategies, and evaluations. The intent was to produce more robust and credible analysis of impacts, costs, benefits, and lessons learned and assist utility and regulatory decision makers in evaluating investment opportunities involving time-based rates. To help achieve these goals, DOE developed technical guidelines to help the CBS utilities estimate customer acceptance, retention, and response more precisely.« less

Good decision-making is associated with an adaptive cardiovascular response to social competitive stress.

PubMed

Alacreu-Crespo, Adrián; Costa, Raquel; Abad-Tortosa, Diana; Salvador, Alicia; Serrano, Miguel Ángel

2018-06-22

Competition elicits different psychological and cardiovascular responses depending on a person's skills. Decision-making has been considered a distal factor that influences competition, but there are no studies analyzing this relationship. Our objective was to analyze whether decision-making affects the response to competition. Specifically, we aimed to test whether good performers on a decision-making test, the Iowa Gambling Task (IGT), showed an adaptive cardiovascular response to competition. In all, 116 participants (44 women) performed the IGT and were classified into Good or Poor decision-makers. Subsequently, they were exposed to a stress task in two different conditions: a face-to-face competition (winners/losers) or a control condition, while an electrocardiogram was recorded. In the competition group, good decision-makers increased their high-frequency respect to the total heart rate variability (HF/HRV) levels during the task, compared to Poor decision-makers. Again, competition group good decision-makers, showed lower LF and higher HF/HRV reactivity than the control group, which represents lower HRV stress pattern. Moreover, in the group of losers, good decision-makers had a decline in low frequency (LF) during the task and faster recovery than poor decision-makers. In conclusion, good decision-makers have a more adaptive stress response and higher levels of mental effort, based on total HRV interpretation. Decision-making skills could be a factor in a more adaptive cardiovascular response to competition.

Administrative decision making: a stepwise method.

PubMed

Oetjen, Reid M; Oetjen, Dawn M; Rotarius, Timothy

2008-01-01

Today's health care organizations face tremendous challenges and fierce competition. These pressures impact the decisions that managers must execute on any given day, not to mention the ever-present constraints of time, personnel, competencies, and finances. The importance of making quality and informed decisions cannot be underestimated. Traditional decision making methods are inadequate for today's larger, more complex health care organizations and the rapidly changing health care environment. As a result, today's health care managers and their teams need new approaches to making decisions for their organizations. This article examines the managerial decision making process and offers a model that can be used as a decision making template to help managers successfully navigate the choppy health care seas. The administrative decision making model will enable health care managers and other key decision makers to avoid the common pitfalls of poor decision making and guide their organizations to success.

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.

Use of economic evaluation in decision making: evidence and recommendations for improvement.

PubMed

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.

SCIENCE, SCIENTISTS, AND POLICY ADVOCACY

EPA Science Inventory

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...

Helping decision makers frame, analyze, and implement decisions

USGS Publications Warehouse

Runge, Michael C.; McDonald-Madden, Eve

2018-01-01

All decisions have the same recognizable elements. Context, objectives, alternatives, consequences, and deliberation. Decision makers and analysts familiar with these elements can quickly see the underlying structure of a decision.There are only a small number of classes of decisions. These classes differ in the cognitive and scientific challenge they present to the decision maker; the ability to recognize the class of decision leads a decision maker to tools to aid in the analysis.Sometimes we need more information, sometimes we don’t. The role of science in a decision-making process is to provide the predictions that link the alternative actions to the desired outcomes. Investing in more science is only valuable if it helps to choose a better action.Implementation. The successful integration of decision analysis into environmental decisions requires careful attention to the decision, the people, and the institutions involved.

Method of predicting a change in an economy

DOEpatents

Pryor, Richard J [Albuquerque, NM; Basu, Nipa [Albany, NY

2006-01-10

An economy whose activity is to be predicted comprises a plurality of decision makers. Decision makers include, for example, households, government, industry, and banks. The decision makers are represented by agents, where an agent can represent one or more decision makers. Each agent has decision rules that determine the agent's actions. Each agent can affect the economy by affecting variable conditions characteristic of the economy or the internal state of other agents. Agents can communicate actions through messages. On a multiprocessor computer, the agents can be assigned to processing elements.

Sensor Web Interoperability Testbed Results Incorporating Earth Observation Satellites

NASA Technical Reports Server (NTRS)

Frye, Stuart; Mandl, Daniel J.; Alameh, Nadine; Bambacus, Myra; Cappelaere, Pat; Falke, Stefan; Derezinski, Linda; Zhao, Piesheng

2007-01-01

This paper describes an Earth Observation Sensor Web scenario based on the Open Geospatial Consortium s Sensor Web Enablement and Web Services interoperability standards. The scenario demonstrates the application of standards in describing, discovering, accessing and tasking satellites and groundbased sensor installations in a sequence of analysis activities that deliver information required by decision makers in response to national, regional or local emergencies.

Using Cognitive Conflict to Promote the Use of Dialectical Learning for Strategic Decision-Makers

ERIC Educational Resources Information Center

Woods, Jeffrey G.

2012-01-01

Purpose: The purpose of this paper is to develop a conceptual model that uses dialectical inquiry (DI) to create cognitive conflict in strategic decision-makers for the purpose of improving strategic decisions. Activation of the dialectical learning process using DI requires strategic decision-makers to integrate conflicting information causing…

49 CFR 1503.657 - Appeal from initial decision.

Code of Federal Regulations, 2010 CFR

2010-10-01

... AND ENFORCEMENT PROCEDURES Rules of Practice in TSA Civil Penalty Actions § 1503.657 Appeal from... order of the TSA decision maker have been entered on the record. (b) Issues on appeal. A party may... appeal with the consent of the TSA decision maker. If the TSA decision maker grants an extension of time...

Bridging the Gap: Tailor-made Information Products for Decision Makers

NASA Astrophysics Data System (ADS)

Mandler, B. E.; Rose, C. A.; Gonzales, L. M.; Boland, M. A.

2016-12-01

The American Geosciences Institute (AGI) is launching a new information platform designed to link decision makers with information generated by geoscientific research. Decision makers, especially those at the state and local level, frequently need scientific information but do not always have easy access to it, while scientists create new knowledge but often lack opportunities to communicate this knowledge more broadly to the people who need it the most. Major differences in communication styles and language can also hinder the use of scientific information by decision makers. AGI is building an online portfolio of case studies and fact sheets that are based on cutting-edge research presented in a format and style that meets the needs and expectations of decision makers. Based on discussions with state and local decision makers around the country, AGI has developed a template for these products. Scientists are invited to write short (500-700-word) summaries of their research and the ways in which it provides useful tools and information to decision makers. We are particularly interested in showcasing actionable information derived from basic or applied research. Researchers are encouraged to contact AGI to discuss topics that may be an appropriate basis for case studies or fact sheets, and AGI may also contact researchers based on scientific needs identified during our discussions with decision makers. All submissions will be edited and reviewed by AGI staff and an external peer review team before being published online and made available to decision makers through AGI's Critical Issues web platform and extensive professional networks. Publicizing the results of scientific research to key legislative, regulatory, advisory, and engaged citizen groups and individuals broadens the impact of scientists' research and highlights the value and importance of the geosciences to society. By presenting the information in a format that is designed with the end-user in mind, this initiative provides a much-needed service to decision makers at all levels and serves the geoscience community by increasing the distribution and dissemination of research findings. We will discuss early results and challenges from this program, and feedback from state and local decision makers.

Multi-criteria clinical decision support: A primer on the use of multiple criteria decision making methods to promote evidence-based, patient-centered healthcare.

PubMed

Dolan, James G

2010-01-01

Current models of healthcare quality recommend that patient management decisions be evidence-based and patient-centered. Evidence-based decisions require a thorough understanding of current information regarding the natural history of disease and the anticipated outcomes of different management options. Patient-centered decisions incorporate patient preferences, values, and unique personal circumstances into the decision making process and actively involve both patients along with health care providers as much as possible. Fundamentally, therefore, evidence-based, patient-centered decisions are multi-dimensional and typically involve multiple decision makers.Advances in the decision sciences have led to the development of a number of multiple criteria decision making methods. These multi-criteria methods are designed to help people make better choices when faced with complex decisions involving several dimensions. They are especially helpful when there is a need to combine "hard data" with subjective preferences, to make trade-offs between desired outcomes, and to involve multiple decision makers. Evidence-based, patient-centered clinical decision making has all of these characteristics. This close match suggests that clinical decision support systems based on multi-criteria decision making techniques have the potential to enable patients and providers to carry out the tasks required to implement evidence-based, patient-centered care effectively and efficiently in clinical settings.The goal of this paper is to give readers a general introduction to the range of multi-criteria methods available and show how they could be used to support clinical decision-making. Methods discussed include the balance sheet, the even swap method, ordinal ranking methods, direct weighting methods, multi-attribute decision analysis, and the analytic hierarchy process (AHP).

Multi-criteria clinical decision support: A primer on the use of multiple criteria decision making methods to promote evidence-based, patient-centered healthcare

PubMed Central

Dolan, James G.

2010-01-01

Current models of healthcare quality recommend that patient management decisions be evidence-based and patient-centered. Evidence-based decisions require a thorough understanding of current information regarding the natural history of disease and the anticipated outcomes of different management options. Patient-centered decisions incorporate patient preferences, values, and unique personal circumstances into the decision making process and actively involve both patients along with health care providers as much as possible. Fundamentally, therefore, evidence-based, patient-centered decisions are multi-dimensional and typically involve multiple decision makers. Advances in the decision sciences have led to the development of a number of multiple criteria decision making methods. These multi-criteria methods are designed to help people make better choices when faced with complex decisions involving several dimensions. They are especially helpful when there is a need to combine “hard data” with subjective preferences, to make trade-offs between desired outcomes, and to involve multiple decision makers. Evidence-based, patient-centered clinical decision making has all of these characteristics. This close match suggests that clinical decision support systems based on multi-criteria decision making techniques have the potential to enable patients and providers to carry out the tasks required to implement evidence-based, patient-centered care effectively and efficiently in clinical settings. The goal of this paper is to give readers a general introduction to the range of multi-criteria methods available and show how they could be used to support clinical decision-making. Methods discussed include the balance sheet, the even swap method, ordinal ranking methods, direct weighting methods, multi-attribute decision analysis, and the analytic hierarchy process (AHP) PMID:21394218

Fostering climate dialogue by introducing students to uncertainty in decision-making

NASA Astrophysics Data System (ADS)

Addor, N.; Ewen, T.; Johnson, L.; Coltekin, A.; Derungs, C.; Muccione, V.

2014-12-01

Uncertainty is present in all fields of climate research, spanning from climate projections, to assessing regional impacts and vulnerabilities to adaptation policy and decision-making. The complex and interdisciplinary nature of climate information, however, makes the decision-making process challenging. This process is further hindered by a lack of institutionalized dialogue between climate researchers, decision-makers and user groups. Forums that facilitate such dialogue would allow these groups to actively engage with each other to improve decisions. In parallel, introducing students to these challenges is one way to foster such climate dialogue. We present the design and outcome of an innovative workshop-seminar series we convened at the University of Zurich to demonstrate the pedagogical importance of such forums. An initial two-day workshop brought together 50 participants, including bachelor, master and PhD students and academic staff, and nine speakers from academia, industry, government, and philanthropy. The main objectives were to provide participants with tools to communicate uncertainty in their current or future research projects, to foster exchange between practitioners, students and scientists from different backgrounds and finally to expose students to multidisciplinary collaborations and real-world problems involving decisions under uncertainty. An opinion survey conducted before and after the workshop enabled us to observe changes in participants' perspectives on what information and tools should be exchanged between researchers and decision-makers to better address uncertainty. Responses demonstrated a marked shift from a pre-workshop vertical conceptualization of researcher-user group interaction to a post-workshop horizontal mode: in the former, researchers were portrayed as bestowing data-based products to decision-makers, while in the latter, both sets of actors engaged in frequent communication, exchanging their needs and expertise. Drawing on examples from the course evaluation, we seek to encourage the organization of similar events, introducing students to these challenges at an early stage of their education and career as a first step towards improving future dialogue.

ENVIRONMENTAL PLANNING FOR SMALL COMMUNITIES: A GUIDE FOR LOCAL DECISION-MAKERS

EPA Science Inventory

Environmental Planning for Small Communities - A Guide for Local Decision-Makers presents a process for creating and implementing a community environmental plan. With a comprehensive environmental plan, local decision-makers can create an integrated approach to protecting the env...

[The Intentions Affecting the Medical Decision-Making Behavior of Surrogate Decision Makers of Critically Ill Patients and Related Factors].

PubMed

Su, Szu-Huei; Wu, Li-Min

2018-04-01

The severity of diseases and high mortality rates that typify the intensive care unit often make it difficult for surrogate decision makers to make decisions for critically ill patients regarding whether to continue medical treatments or to accept palliative care. To explore the behavioral intentions that underlie the medical decisions of surrogate decision makers of critically ill patients and the related factors. A cross-sectional, correlation study design was used. A total of 193 surrogate decision makers from six ICUs in a medical center in southern Taiwan were enrolled as participants. Three structured questionnaires were used, including a demographic datasheet, the Family Relationship Scale, and the Behavioral Intention of Medical Decisions Scale. Significantly positive correlations were found between the behavioral intentions underlying medical decisions and the following variables: the relationship of the participant to the patient (Eta = .343, p = .020), the age of the patient (r = .295, p < .01), and whether the patient had signed a currently valid advance healthcare directive (Eta = .223, p = .002). Furthermore, a significantly negative correlation was found between these intentions and length of stay in the ICU (r = -.263, p < .01). Patient age, whether the patient had signed a currently valid advance healthcare directive, and length of stay in the ICU were all predictive factors for the behavioral intentions underlying the medical decisions of the surrogate decision makers, explaining 13.9% of the total variance. In assessing the behavioral intentions underlying the medical decisions of surrogate decision makers, health providers should consider the relationship between critical patients and their surrogate decision makers, patient age, the length of ICU stay, and whether the patient has a pre-signed advance healthcare directive in order to maximize the effectiveness of medical care provided to critically ill patients.

Decision making in quasi-markets: a pedagogic analysis.

PubMed

Jones, P R; Cullis, J G

1996-04-01

The objective of the 1991 NHS reforms was to reduce "excessive" vertical integration by constructing a quasi-market in which incentive structures and increased availability of information would enable decision makers make better use of resources. There is, however, no overall framework in which to consider the welfare gains which result from the introduction of a quasi-market or the welfare losses which arise from distortions in a quasi-market. This paper offers an analysis which can be applied to illustrate the difficulty of estimating the welfare loss from cream skimming and also to consider the impact of local monopoly.

Targeting Continuing Medical Education on Decision Makers: Who Decides to Transfuse Blood?

ERIC Educational Resources Information Center

Goodnough, Lawrence T.; And Others

1992-01-01

Staff communication patterns were observed during 13 open-heart surgeries to identify the transfusion decision makers. It was determined that targeting decision makers for continuing medical education would improve the quality of transfusion practice and increase the efficiency of continuing education. (SK)

Energy-Water Nexus: Balancing the Tradeoffs between Two-Level Decision Makers

DOE PAGES

Zhang, Xiaodong; Vesselinov, Velimir Valentinov

2016-09-03

Energy-water nexus has substantially increased importance in the recent years. Synergistic approaches based on systems-analysis and mathematical models are critical for helping decision makers better understand the interrelationships and tradeoffs between energy and water. In energywater nexus management, various decision makers with different goals and preferences, which are often conflicting, are involved. These decision makers may have different controlling power over the management objectives and the decisions. They make decisions sequentially from the upper level to the lower level, challenging decision making in energy-water nexus. In order to address such planning issues, a bi-level decision model is developed, which improvesmore » upon the existing studies by integration of bi-level programming into energy-water nexus management. The developed model represents a methodological contribution to the challenge of sequential decisionmaking in energy-water nexus through provision of an integrated modeling framework/tool. An interactive fuzzy optimization methodology is introduced to seek a satisfactory solution to meet the overall satisfaction of the two-level decision makers. The tradeoffs between the two-level decision makers in energy-water nexus management are effectively addressed and quantified. Application of the proposed model to a synthetic example problem has demonstrated its applicability in practical energy-water nexus management. Optimal solutions for electricity generation, fuel supply, water supply including groundwater, surface water and recycled water, capacity expansion of the power plants, and GHG emission control are generated. In conclusion, these analyses are capable of helping decision makers or stakeholders adjust their tolerances to make informed decisions to achieve the overall satisfaction of energy-water nexus management where bi-level sequential decision making process is involved.« less

Energy-Water Nexus: Balancing the Tradeoffs between Two-Level Decision Makers

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhang, Xiaodong; Vesselinov, Velimir Valentinov

Energy-water nexus has substantially increased importance in the recent years. Synergistic approaches based on systems-analysis and mathematical models are critical for helping decision makers better understand the interrelationships and tradeoffs between energy and water. In energywater nexus management, various decision makers with different goals and preferences, which are often conflicting, are involved. These decision makers may have different controlling power over the management objectives and the decisions. They make decisions sequentially from the upper level to the lower level, challenging decision making in energy-water nexus. In order to address such planning issues, a bi-level decision model is developed, which improvesmore » upon the existing studies by integration of bi-level programming into energy-water nexus management. The developed model represents a methodological contribution to the challenge of sequential decisionmaking in energy-water nexus through provision of an integrated modeling framework/tool. An interactive fuzzy optimization methodology is introduced to seek a satisfactory solution to meet the overall satisfaction of the two-level decision makers. The tradeoffs between the two-level decision makers in energy-water nexus management are effectively addressed and quantified. Application of the proposed model to a synthetic example problem has demonstrated its applicability in practical energy-water nexus management. Optimal solutions for electricity generation, fuel supply, water supply including groundwater, surface water and recycled water, capacity expansion of the power plants, and GHG emission control are generated. In conclusion, these analyses are capable of helping decision makers or stakeholders adjust their tolerances to make informed decisions to achieve the overall satisfaction of energy-water nexus management where bi-level sequential decision making process is involved.« less

Vision 2015: A Globally Networked and Integrated Intelligence Enterprise

DTIC Science & Technology

2008-07-01

of the Intellligence Community agency members. Building such an Enterprise will require the sustained focus of hard -nosed leadership. Services... The purpose of intelligence is not solely to determine truth , but to enable decision-makers to make better choices in dealing with forces...objectivity and relevance, often summarized by the axiom that the Intelligence Community “speaks truth to power.” At times, members of the Intelli- gence

Decision making in high-velocity environments: implications for healthcare.

PubMed

Stepanovich, P L; Uhrig, J D

1999-01-01

Healthcare can be considered a high-velocity environment and, as such, can benefit from research conducted in other industries regarding strategic decision making. Strategic planning is not only relevant to firms in high-velocity environments, but is also important for high performance and survival. Specifically, decision-making speed seems to be instrumental in differentiating between high and low performers; fast decision makers outperform slow decision makers. This article outlines the differences between fast and slow decision makers, identifies five paralyses that can slow decision making in healthcare, and outlines the role of a planning department in circumventing these paralyses. Executives can use the proposed planning structure to improve both the speed and quality of strategic decisions. The structure uses planning facilitators to avoid the following five paralyses: 1. Analysis. Decision makers can no longer afford the luxury of lengthy, detailed analysis but must develop real-time systems that provide appropriate, timely information. 2. Alternatives. Many alternatives (beyond the traditional two or three) need to be considered and the alternatives must be evaluated simultaneously. 3. Group Think. Decision makers must avoid limited mind-sets and autocratic leadership styles by seeking out independent, knowledgeable counselors. 4. Process. Decision makers need to resolve conflicts through "consensus with qualification," as opposed to waiting for everyone to come on board. 5. Separation. Successful implementation requires a structured process that cuts across disciplines and levels.

Information processing by networks of quantum decision makers

NASA Astrophysics Data System (ADS)

Yukalov, V. I.; Yukalova, E. P.; Sornette, D.

2018-02-01

We suggest a model of a multi-agent society of decision makers taking decisions being based on two criteria, one is the utility of the prospects and the other is the attractiveness of the considered prospects. The model is the generalization of quantum decision theory, developed earlier for single decision makers realizing one-step decisions, in two principal aspects. First, several decision makers are considered simultaneously, who interact with each other through information exchange. Second, a multistep procedure is treated, when the agents exchange information many times. Several decision makers exchanging information and forming their judgment, using quantum rules, form a kind of a quantum information network, where collective decisions develop in time as a result of information exchange. In addition to characterizing collective decisions that arise in human societies, such networks can describe dynamical processes occurring in artificial quantum intelligence composed of several parts or in a cluster of quantum computers. The practical usage of the theory is illustrated on the dynamic disjunction effect for which three quantitative predictions are made: (i) the probabilistic behavior of decision makers at the initial stage of the process is described; (ii) the decrease of the difference between the initial prospect probabilities and the related utility factors is proved; (iii) the existence of a common consensus after multiple exchange of information is predicted. The predicted numerical values are in very good agreement with empirical data.

Enabling Real-time Water Decision Support Services Using Model as a Service

NASA Astrophysics Data System (ADS)

Zhao, T.; Minsker, B. S.; Lee, J. S.; Salas, F. R.; Maidment, D. R.; David, C. H.

2014-12-01

Through application of computational methods and an integrated information system, data and river modeling services can help researchers and decision makers more rapidly understand river conditions under alternative scenarios. To enable this capability, workflows (i.e., analysis and model steps) are created and published as Web services delivered through an internet browser, including model inputs, a published workflow service, and visualized outputs. The RAPID model, which is a river routing model developed at University of Texas Austin for parallel computation of river discharge, has been implemented as a workflow and published as a Web application. This allows non-technical users to remotely execute the model and visualize results as a service through a simple Web interface. The model service and Web application has been prototyped in the San Antonio and Guadalupe River Basin in Texas, with input from university and agency partners. In the future, optimization model workflows will be developed to link with the RAPID model workflow to provide real-time water allocation decision support services.

A Fuzzy-Based Decision Support Model for Selecting the Best Dialyser Flux in Haemodialysis.

PubMed

Oztürk, Necla; Tozan, Hakan

2015-01-01

Decision making is an important procedure for every organization. The procedure is particularly challenging for complicated multi-criteria problems. Selection of dialyser flux is one of the decisions routinely made for haemodialysis treatment provided for chronic kidney failure patients. This study provides a decision support model for selecting the best dialyser flux between high-flux and low-flux dialyser alternatives. The preferences of decision makers were collected via a questionnaire. A total of 45 questionnaires filled by dialysis physicians and nephrologists were assessed. A hybrid fuzzy-based decision support software that enables the use of Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), Analytic Network Process (ANP), and Fuzzy Analytic Network Process (FANP) was used to evaluate the flux selection model. In conclusion, the results showed that a high-flux dialyser is the best. option for haemodialysis treatment.

Decisions with Uncertain Consequences—A Total Ordering on Loss-Distributions

PubMed Central

König, Sandra; Schauer, Stefan

2016-01-01

Decisions are often based on imprecise, uncertain or vague information. Likewise, the consequences of an action are often equally unpredictable, thus putting the decision maker into a twofold jeopardy. Assuming that the effects of an action can be modeled by a random variable, then the decision problem boils down to comparing different effects (random variables) by comparing their distribution functions. Although the full space of probability distributions cannot be ordered, a properly restricted subset of distributions can be totally ordered in a practically meaningful way. We call these loss-distributions, since they provide a substitute for the concept of loss-functions in decision theory. This article introduces the theory behind the necessary restrictions and the hereby constructible total ordering on random loss variables, which enables decisions under uncertainty of consequences. Using data obtained from simulations, we demonstrate the practical applicability of our approach. PMID:28030572

Climate change and forest communities: prospects for building institutional adaptive capacity in the Congo Basin forests.

PubMed

Brown, H Carolyn Peach; Smit, Barry; Somorin, Olufunso A; Sonwa, Denis J; Nkem, Johnson Ndi

2014-10-01

Tropical forests are vulnerable to climate-change representing a risk for indigenous peoples and forest-dependent communities. Mechanisms to conserve the forest, such as REDD+, could assist in the mitigation of climate change, reduce vulnerability, and enable people to adapt. Ninety-eight interviews were conducted in three countries containing the Congo Basin forest, Cameroon, CAR, and DRC, to investigate perceptions of decision-makers within, and responses of the institutions of the state, private sector, and civil society to the challenges of climate change. Results indicate that while decision-makers' awareness of climate change is high, direct institutional action is at an early stage. Adaptive capacity is currently low, but it could be enhanced with further development of institutional linkages and increased coordination of multilevel responses across all institutions and with local people. It is important to build networks with forest-dependent stakeholders at the local level, who can contribute knowledge that will build overall institutional adaptive capacity.

Information Needs Assessment for Coastal and Marine Management and Policy: Ecosystem Services Under Changing Climatic, Land Use, and Demographic Conditions.

PubMed

Goldsmith, Kaitlin A; Granek, Elise F; Lubitow, Amy

2015-12-01

Changing climatic, demographic, and land use conditions are projected to alter the provisioning of ecosystem services in estuarine, coastal, and nearshore marine ecosystems, necessitating mitigation and adaptation policies and management. The current paradigm of research efforts occurring in parallel to, rather than in collaboration with, decision makers will be insufficient for the rapid responses required to adapt to and mitigate for projected changing conditions. Here, we suggest a different paradigm: one where research begins by engaging decision makers in the identification of priority data needs (biophysical, economic, and social). This paper uses synthesized interview data to provide insight into the varied demands for scientific research as described by decision makers working on coastal issues in Oregon, USA. The findings highlight the need to recognize (1) the differing framing of ecosystem services by decision makers versus scientists; and (2) the differing data priorities relevant to inland versus coastal decision makers. The findings further serve to highlight the need for decision makers, scientists, and funders to engage in increased communication. This research is an important first step in advancing efforts toward evidence-based decision making in Oregon and provides a template for further research across the US.

A randomized comparison between league tables and funnel plots to inform health care decision-making.

PubMed

Anell, Anders; Hagberg, Oskar; Liedberg, Fredrik; Ryden, Stefan

2016-12-01

Comparison of provider performance is commonly used to inform health care decision-making. Little attention has been paid to how data presentations influence decisions. This study analyzes differences in suggested actions by decision-makers informed by league tables or funnel plots. Decision-makers were invited to a survey and randomized to compare hospital performance using either league tables or funnel plots for four different measures within the area of cancer care. For each measure, decision-makers were asked to suggest actions towards 12-16 hospitals (no action, ask for more information, intervene) and provide feedback related to whether the information provided had been useful. Swedish health care. Two hundred and twenty-one decision-makers at administrative and clinical levels. Data presentations in the form of league tables or funnel plots. Number of actions suggested by participants. Proportion of appropriate actions. For all four measures, decision-makers tended to suggest more actions based on the information provided in league tables compared to funnel plots (44% vs. 21%, P < 0.001). Actions were on average more appropriate for funnel plots. However, when using funnel plots, decision-makers more often missed to react even when appropriate. The form of data presentation had an influence on decision-making. With league tables, decision-makers tended to suggest more actions compared to funnel plots. A difference in sensitivity and specificity conditioned by the form of presentation could also be identified, with different implications depending on the purpose of comparisons. Explanations and visualization aids are needed to support appropriate actions. © The Author 2016. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Bridge over troubled waters: A Synthesis Session to connect ...

EPA Pesticide Factsheets

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

Taking off the white coat: can family members who are physicians be good surrogate decision-makers?

PubMed

Issa, Amalia M

2002-05-01

The challenges inherent in physicians treating members of their own families are well known. However, the issues related to physicians acting as surrogate decision-makers on behalf of relatives have not been addressed. The growing number of older persons will increase the need not only for healthcare resources, but also for physicians to act on behalf of incapacitated family members as surrogate decision-makers. In this paper, some of the clinical and ethical tensions evoked by physicians serving as surrogate decision-makers for family members are explored. Some recommendations for managing these tensions are suggested.

Proxy decision making and dementia: Using Construal Level Theory to analyse the thoughts of decision makers.

PubMed

Convey, Helen; Holt, Janet; Summers, Barbara

2018-07-01

This study explored the feasibility of using Construal Level Theory to analyse proxy decision maker thinking about a hypothetical ethical dilemma, relating to a person who has dementia. Proxy decision makers make decisions on behalf of individuals who are living with dementia when dementia affects that individual's decision making ability. Ethical dilemmas arise because there is a need to balance the individual's past and contemporary values and views. Understanding of how proxy decision makers respond is incomplete. Construal Level Theory contends that individuals imagine reactions and make predications about the future by crossing psychological distance. This involves abstract thinking, giving meaning to decisions. There is no empirical evidence of Construal Level Theory being used to analyse proxy decision maker thinking. Exploring the feasibility of using Construal Level Theory to understand dementia carer thinking regarding proxy decisions may provide insights which inform the support given. Descriptive qualitative research with semi-structured interviews. Seven participants were interviewed using a hypothetical dementia care scenario in February 2016. Interview transcripts were analysed for themes. Construal Level Theory was applied to analyse participant responses within themes using the Linguistic Category Model. Participants travelled across psychological distance, using abstract thinking to clarify goals and provide a basis for decisions. When thinking concretely participants established boundaries regarding the ethical dilemma. Construal Level Theory gives insight into proxy decision maker thinking and the levels of abstraction used. Understanding what dementia carers think about when making proxy decisions may help nurses to understand their perspectives and to provide appropriate support. © 2018 John Wiley & Sons Ltd.

Medicare Coverage Strategies: Impact of the MMA and PBMs

PubMed Central

Antos, Joseph

2008-01-01

American Health & Drug Benefits ™ has been created to act as an ideological melting pot focusing on health and drug benefit decision makers, as well as those who may affect or may be affected by those decisions. By engaging in conversations with payors, regulators, employers, and other stakeholders, our journal hopes to enable decision makers to view the impact of benefit designs from as many perspectives as possible. Through this open dialogue, we hope that better decisions may be made, and that the greater healthcare marketplace will be positively impacted. In following our editorial mission, American Health & Drug Benefits ™ has sought thought leaders who have influenced and will continue to influence the healthcare marketplace. During a fall visit to Washington, DC, Dr. Joseph Antos was kind enough to host a visit to the American Enterprise Institute and provide his thoughts to Robert Henry, editor-in-chief, on how the Centers for Medicare & Medicaid Services (CMS) exerts its influence on drug coverage in the wake of the Medicare Modernization Act (MMA) and in the face of evidence-based medicine standards. Following a chronology of CMS's role from its inception to current events, Dr. Antos offers a lively insight into CMS's strategy and its tactical effects on the American healthcare system. PMID:25126207

Climate Information Needs for Financial Decision Making

DOE Office of Scientific and Technical Information (OSTI.GOV)

Higgins, Paul

Climate Information Needs for Financial Decision Making (Final Report) This Department of Energy workshop award (grant #DE-SC0008480) provided primary support for the American Meteorological Society’s study on climate information needs for financial decision making. The goal of this study was to help advance societal decision making by examining the implications of climate variability and change on near-term financial investments. We explored four key topics: 1) the conditions and criteria that influence returns on investment of major financial decisions, 2) the climate sensitivity of financial decisions, 3) climate information needs of financial decision makers, and 4) potential new mechanisms to promotemore » collaboration between scientists and financial decision makers. Better understanding of these four topics will help scientists provide the most useful information and enable financial decision makers to use scientific information most effectively. As a result, this study will enable leaders in business and government to make well-informed choices that help maximize long-term economic success and social wellbeing in the United States The outcomes of the study include a workshop, which brought together leaders from the scientific and financial decision making communities, a publication of the study report, and a public briefing of the results to the policy community. In addition, we will present the results to the scientific community at the AMS Annual Meeting in February, 2014. The study results were covered well by the media including Bloomberg News and E&E News. Upon request, we also briefed the Office of Science Technology Policy (OSTP) and the Council on Environmental Quality (CEQ) on the outcomes. We presented the results to the policy community through a public briefing in December on Capitol Hill. The full report is publicly available at www.ametsoc.org/cin. Summary of Key Findings The United States invests roughly $1.5 trillion U.S. dollars (USD) in capital assets each year across the public and private sectors (Orszag 2008; United States Census Bureau 2013). Extreme weather events create and exacerbate risks to these financial investments by contributing to: • Direct physical impacts on the investments themselves • Degradation of critical supporting infrastructure • Changes in the availability of key natural resources • Changes to workforce availability or capacity • Changes in the customer base • Supply chain disruptions • Legal liability • Shifts in the regulatory environment • Reductions in credit ratings Even small changes in weather can impact operations in critical economic sectors. As a result, maximizing returns on financial investments depends on accurately understanding and effectively accounting for these risks. Climate variability and change can either exacerbate existing risks or cause new sources of risk to emerge. Managing these risks most effectively will depend on scientific advances and increases in the capacity of financial decision makers to use the scientific knowledge that results. Barriers to using climate information must also be overcome. This study proposes three predefined levels of certainty for communicating about weather and climate risks: 1) possible (i.e., unknown likelihood or less than 50% chance of occurrence), 2) probable (greater than 50% chance of occurrence), and 3) effectively certain (at least 95% chance of occurrence). For example, it is effectively certain that a change in climate will alter weather patterns. It is probable that climate warming will cause increases in the intensity of some extreme events. It is possible that climate change will cause major and widespread disruptions to key planetary life-support services. Key recommendations of this study: 1) Identify climate-related risks and opportunities for financial decision making. 2) Create a framework to translate scientific information in clear and actionable terms for financial decision makers. 3) Analyze existing climate assessments and translate projected impacts into possible, probable, and effectively certain impacts. 4) Improve climate projections with respect to precipitation (timing, amount, and intensity), extreme events, and tails of probability distributions (i.e., low-probability but high-consequence events). 5) Increase spatial resolution of climate projections in order to provide climate information at the scale most relevant to financial investments. 6) Improve projections of the societal consequences of climate impacts through integrated assessments of physical, natural, and social sciences. 7) Create a user-friendly information repository and portal that provides easy access to information relevant to financial decision making. 8) Create and maintain opportunities to bring together financial decision makers, scientists, and service providers. Near-term financial decisions have long-term implications for the United States’ social and economic well-being that depend, in part, on climate variability and change. Investments will be most successful, and will advance the interests of society most effectively, if they are grounded in the best available knowledge & understanding.« less

Rapid Benefit Indicator (RBI) Checklist Tool - Quick Start ...

EPA Pesticide Factsheets

The Rapid Benefits Indicators (RBI) approach consists of five steps and is outlined in Assessing the Benefits of Wetland Restoration – A Rapid Benefits Indicators Approach for Decision Makers. This checklist tool is intended to be used to record information as you answer the questions in that guide. When performing a Rapid Benefits Indicator (RBI) assessment on wetlands restoration site(s) results can be recorded and reviewed using this VBA enabled MS Excel Checklist Tool.

Attitudes of Educational Decision Makers toward AVTI Governance and the Local Tax Levy. An Independent Paper.

ERIC Educational Resources Information Center

LiaBraaten, James Clayton

A study investigated the attitudes of vocational education decision makers toward the governance of Minnesota's Area Vocational Technical Institutes (AVTIs) and the impact removal of a local tax to support the AVTIs might have on governance. Five categories of individuals, all considered vocational education decision makers, were surveyed: AVTI…

NREL's Winning Hand of Clean Transportation Tools - Continuum Magazine |

Science.gov Websites

kinds of decision makers-supplying resources for fleets to reduce petroleum use or an individual warehouse that offers invaluable information to decision makers, such as city planners, to help them with ;The TSDC provided useful data for decision-makers. And the state passed what will be a $65 million

Examining Challenges Related to the Production of Actionable Climate Knowledge for Adaptation Decision-Making: A Focus on Climate Knowledge System Producers

NASA Astrophysics Data System (ADS)

Ernst, K.; Preston, B. L.; Tenggren, S.; Klein, R.; Gerger-Swartling, Å.

2017-12-01

Many challenges to adaptation decision-making and action have been identified across peer-reviewed and gray literature. These challenges have primarily focused on the use of climate knowledge for adaptation decision-making, the process of adaptation decision-making, and the needs of the decision-maker. Studies on climate change knowledge systems often discuss the imperative role of climate knowledge producers in adaptation decision-making processes and stress the need for producers to engage in knowledge co-production activities and to more effectively meet decision-maker needs. While the influence of climate knowledge producers on the co-production of science for adaptation decision-making is well-recognized, hardly any research has taken a direct approach to analyzing the challenges that climate knowledge producers face when undertaking science co-production. Those challenges can influence the process of knowledge production and may hinder the creation, utilization, and dissemination of actionable knowledge for adaptation decision-making. This study involves semi-structured interviews, focus groups, and participant observations to analyze, identify, and contextualize the challenges that climate knowledge producers in Sweden face as they endeavor to create effective climate knowledge systems for multiple contexts, scales, and levels across the European Union. Preliminary findings identify complex challenges related to education, training, and support; motivation, willingness, and culture; varying levels of prioritization; professional roles and responsibilities; the type and amount of resources available; and professional incentive structures. These challenges exist at varying scales and levels across individuals, organizations, networks, institutions, and disciplines. This study suggests that the creation of actionable knowledge for adaptation decision-making is not supported across scales and levels in the climate knowledge production landscape. Additionally, enabling the production of actionable knowledge for adaptation decision-making requires multi-level effort beyond the individual level.

Forensic issues in medical evaluation: competency and end-of-life issues.

PubMed

Soliman, Sherif; Hall, Ryan C W

2015-01-01

Decision-making capacity is a common reason for psychiatric consultation that is likely to become more common as the population ages. Capacity assessments are frequently compromised by misconceptions, such as the belief that incapacity is permanent or that patients with dementia categorically lack capacity. This chapter will review the conceptual framework of decision-making capacity and discuss its application to medical decision-making. We will review selected developments in capacity assessment and recommend an approach to assessing decision-making capacity. We will discuss the unique challenges posed by end-of-life care, including determining capacity, identifying surrogate decision-makers, and working with surrogate decision-makers. We will discuss clinical and legal approaches to incapacity, including advance directives, surrogate decision-makers, and guardians. We will discuss the legal standards based on which surrogates make medical decisions and outline options for resolving disagreements between clinical staff and surrogate decision-makers. We will offer recommendations for approaching decision-making capacity assessments. © 2015 S. Karger AG, Basel.

Use of Remote Sensing for Decision Support in Africa

NASA Technical Reports Server (NTRS)

Policelli, Frederick S.

2007-01-01

Over the past 30 years, the scientific community has learned a great deal about the Earth as an integrated system. Much of this research has been enabled by the development of remote sensing technologies and their operation from space. Decision makers in many nations have begun to make use of remote sensing data for resource management, policy making, and sustainable development planning. This paper makes an attempt to provide a survey of the current state of the requirements and use of remote sensing for sustainable development in Africa. This activity has shown that there are not many climate data ready decision support tools already functioning in Africa. There are, however, endusers with known requirements who could benefit from remote sensing data.

Coping Strategies and Posttraumatic Stress Symptoms in Post-ICU Family Decision Makers.

PubMed

Petrinec, Amy B; Mazanec, Polly M; Burant, Christopher J; Hoffer, Alan; Daly, Barbara J

2015-06-01

To assess the coping strategies used by family decision makers of adult critical care patients during and after the critical care experience and the relationship of coping strategies to posttraumatic stress symptoms experienced 60 days after hospitalization. A single-group descriptive longitudinal correlational study. Medical, surgical, and neurological ICUs in a large tertiary care university hospital. Consecutive family decision makers of adult critical care patients from August 2012 to November 2013. Study inclusion occurred after the patient's fifth day in the ICU. None. Family decision makers of incapacitated adult ICU patients completed the Brief COPE instrument assessing coping strategy use 5 days after ICU admission and 30 days after hospital discharge or death of the patient and completed the Impact of Event Scale-Revised assessing posttraumatic stress symptoms 60 days after hospital discharge. Seventy-seven family decision makers of the eligible 176 completed all data collection time points of this study. The use of problem-focused (p=0.01) and emotion-focused (p<0.01) coping decreased over time while avoidant coping (p=0.20) use remained stable. Coping strategies 30 days after hospitalization (R2=0.50, p<0.001) were better predictors of later posttraumatic stress symptoms than coping strategies 5 days after ICU admission (R2=0.30, p=0.001) controlling for patient and decision-maker characteristics. The role of decision maker for a parent and patient death were the only noncoping predictors of posttraumatic stress symptoms. Avoidant coping use 30 days after hospitalization mediated the relationship between patient death and later posttraumatic stress symptom severity. Coping strategy use is a significant predictor of posttraumatic stress symptom severity 60 days after hospitalization in family decision makers of ICU patients.

Linking decision-making research and cancer prevention and control: important themes.

PubMed

McCaul, Kevin D; Peters, Ellen; Nelson, Wendy; Stefanek, Michael

2005-07-01

This article describes 6 themes underlying the multiple presentations from the Basic and Applied Decision Making in Cancer Control meeting, held February 19-20, 2004. The following themes have important implications for research and practice linking basic decision-making research to cancer prevention and control: (a) Traditional decision-making theories fail to capture real-world decision making, (b) decision makers are often unable to predict future preferences, (c) preferences are often constructed on the spot and thus are influenced by situational cues, (d) decision makers often rely on feelings rather than beliefs when making a decision, (e) the perspective of the decision maker is critical in determining preferences, and (f) informed decision making may--or may not--yield the best decisions.

The current capacity and future development of economic evaluation for policy decision-making: a survey among researchers and decision-makers in Thailand.

PubMed

Chaikledkaew, Usa; Lertpitakpong, Chanida; Teerawattananon, Yot; Thavorncharoensap, Montarat; Tangcharoensathien, Viroj

2009-01-01

This study aims to explore the knowledge, experience, and attitudes toward economic evaluation (EE) among decision-makers and researchers in Thailand. Researchers were purposively selected from Thai academics and both public and private research organizations related to EE. Decision-makers at the provincial level were purposively selected from the members of the Management Committees of Provincial Health Offices, and those at hospital level were randomly selected from members of the public and private hospital formulary drug committees throughout Thailand. The self-administered postal questionnaires were distributed. Univariate and bivariate analyses were applied. Of the total 2575 questionnaires distributed, 758 (29.4% response rate) were completed and sent back. The majority of researchers and decision-makers were not familiar with technical terms commonly used in health EE, e.g., incremental cost-effectiveness ratio, discounting, and sensitivity analysis. More decision-makers (70.6%) had never had EE training compared to researchers (50.0%). Both roles indicated that value for money was one of the important issues to consider for health technology adoption. An extensive unmet demand for EE training among Thai researchers and decision-makers still exists. Findings from this study contribute to the short- and long-term plans for research capacity building.

Fuzzy bilevel programming with multiple non-cooperative followers: model, algorithm and application

NASA Astrophysics Data System (ADS)

Ke, Hua; Huang, Hu; Ralescu, Dan A.; Wang, Lei

2016-04-01

In centralized decision problems, it is not complicated for decision-makers to make modelling technique selections under uncertainty. When a decentralized decision problem is considered, however, choosing appropriate models is no longer easy due to the difficulty in estimating the other decision-makers' inconclusive decision criteria. These decision criteria may vary with different decision-makers because of their special risk tolerances and management requirements. Considering the general differences among the decision-makers in decentralized systems, we propose a general framework of fuzzy bilevel programming including hybrid models (integrated with different modelling methods in different levels). Specially, we discuss two of these models which may have wide applications in many fields. Furthermore, we apply the proposed two models to formulate a pricing decision problem in a decentralized supply chain with fuzzy coefficients. In order to solve these models, a hybrid intelligent algorithm integrating fuzzy simulation, neural network and particle swarm optimization based on penalty function approach is designed. Some suggestions on the applications of these models are also presented.

A regret theory approach to decision curve analysis: a novel method for eliciting decision makers' preferences and decision-making.

PubMed

Tsalatsanis, Athanasios; Hozo, Iztok; Vickers, Andrew; Djulbegovic, Benjamin

2010-09-16

Decision curve analysis (DCA) has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers. However, DCA is based on expected utility theory, which has been routinely violated by decision makers. Decision-making is governed by intuition (system 1), and analytical, deliberative process (system 2), thus, rational decision-making should reflect both formal principles of rationality and intuition about good decisions. We use the cognitive emotion of regret to serve as a link between systems 1 and 2 and to reformulate DCA. First, we analysed a classic decision tree describing three decision alternatives: treat, do not treat, and treat or no treat based on a predictive model. We then computed the expected regret for each of these alternatives as the difference between the utility of the action taken and the utility of the action that, in retrospect, should have been taken. For any pair of strategies, we measure the difference in net expected regret. Finally, we employ the concept of acceptable regret to identify the circumstances under which a potentially wrong strategy is tolerable to a decision-maker. We developed a novel dual visual analog scale to describe the relationship between regret associated with "omissions" (e.g. failure to treat) vs. "commissions" (e.g. treating unnecessary) and decision maker's preferences as expressed in terms of threshold probability. We then proved that the Net Expected Regret Difference, first presented in this paper, is equivalent to net benefits as described in the original DCA. Based on the concept of acceptable regret we identified the circumstances under which a decision maker tolerates a potentially wrong decision and expressed it in terms of probability of disease. We present a novel method for eliciting decision maker's preferences and an alternative derivation of DCA based on regret theory. Our approach may be intuitively more appealing to a decision-maker, particularly in those clinical situations when the best management option is the one associated with the least amount of regret (e.g. diagnosis and treatment of advanced cancer, etc).

A regret theory approach to decision curve analysis: A novel method for eliciting decision makers' preferences and decision-making

PubMed Central

2010-01-01

Background Decision curve analysis (DCA) has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers. However, DCA is based on expected utility theory, which has been routinely violated by decision makers. Decision-making is governed by intuition (system 1), and analytical, deliberative process (system 2), thus, rational decision-making should reflect both formal principles of rationality and intuition about good decisions. We use the cognitive emotion of regret to serve as a link between systems 1 and 2 and to reformulate DCA. Methods First, we analysed a classic decision tree describing three decision alternatives: treat, do not treat, and treat or no treat based on a predictive model. We then computed the expected regret for each of these alternatives as the difference between the utility of the action taken and the utility of the action that, in retrospect, should have been taken. For any pair of strategies, we measure the difference in net expected regret. Finally, we employ the concept of acceptable regret to identify the circumstances under which a potentially wrong strategy is tolerable to a decision-maker. Results We developed a novel dual visual analog scale to describe the relationship between regret associated with "omissions" (e.g. failure to treat) vs. "commissions" (e.g. treating unnecessary) and decision maker's preferences as expressed in terms of threshold probability. We then proved that the Net Expected Regret Difference, first presented in this paper, is equivalent to net benefits as described in the original DCA. Based on the concept of acceptable regret we identified the circumstances under which a decision maker tolerates a potentially wrong decision and expressed it in terms of probability of disease. Conclusions We present a novel method for eliciting decision maker's preferences and an alternative derivation of DCA based on regret theory. Our approach may be intuitively more appealing to a decision-maker, particularly in those clinical situations when the best management option is the one associated with the least amount of regret (e.g. diagnosis and treatment of advanced cancer, etc). PMID:20846413

Communication with U.S. federal decision makers : a primer with notes on the use of computer models as a means of communication.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Webb, Erik Karl; Tidwell, Vincent Carroll

2009-10-01

This document outlines ways to more effectively communicate with U.S. Federal decision makers by outlining the structure, authority, and motivations of various Federal groups, how to find the trusted advisors, and how to structure communication. All three branches of Federal governments have decision makers engaged in resolving major policy issues. The Legislative Branch (Congress) negotiates the authority and the resources that can be used by the Executive Branch. The Executive Branch has some latitude in implementation and prioritizing resources. The Judicial Branch resolves disputes. The goal of all decision makers is to choose and implement the option that best fitsmore » the needs and wants of the community. However, understanding the risk of technical, political and/or financial infeasibility and possible unintended consequences is extremely difficult. Primarily, decision makers are supported in their deliberations by trusted advisors who engage in the analysis of options as well as the day-to-day tasks associated with multi-party negotiations. In the best case, the trusted advisors use many sources of information to inform the process including the opinion of experts and if possible predictive analysis from which they can evaluate the projected consequences of their decisions. The paper covers the following: (1) Understanding Executive and Legislative decision makers - What can these decision makers do? (2) Finding the target audience - Who are the internal and external trusted advisors? (3) Packaging the message - How do we parse and integrate information, and how do we use computer simulation or models in policy communication?« less

Health decision-making preferences among African American men recruited from urban barbershops.

PubMed

Hart, Alton; Smith, Wally R; Tademy, Raymond H; McClish, Donna K; McCreary, Micah

2009-07-01

To examine general health decision-making roles among African American men ages 40 to 70 recruited in barbershops in the Richmond, Virginia, metropolitan area. We adapted the 1-item Control Preference scale to study the associations between health decision-making role preferences and demographic variables. Forty African-American men were recruited from barbershops to complete a self-administered survey. After performing descriptive statistics, we dichotomized our outcome into active vs nonactive (collaborative or passive) decision makers. Data were then analyzed using chi2, Wilcoxon-Mann-Whitney rank sum, and multiple logistic regression. Fifteen subjects responded that they engaged in active decision making, 20 in collaborative, and 5 in passive decision making. Almost all (86.7%) active decision makers were home owners, vs 41.7% of nonactive decision makers. Among active decision makers, 46.7% had incomes of more than $70000, vs 12.5% of nonactive decision makers. The active group reported health status that was good to excellent, while 20.8% of those in the nonactive group reported poor/fair health. African American male barbershop clients preferred an active or collaborative health decision-making role with their physician, rather than a passive role. The relationship among home ownership, income, and decision style may best be understood by considering the historical and cultural influences on gender role socialization among African American males. More comprehensive assessment of decision styles is necessary to better understand health decision making among African American male patients.

Partnering Healthy@Work: an Australian university-government partnership facilitating policy-relevant research.

PubMed

Jose, Kim; Venn, Alison; Jarman, Lisa; Seal, Judy; Teale, Brook; Scott, Jennifer; Sanderson, Kristy

2017-12-01

Research funding is increasingly supporting collaborations between knowledge users and researchers. Partnering Healthy@Work (pH@W), an inaugural recipient of funding through Australia's Partnership for Better Health Grants scheme, was a 5-year partnership between the Menzies Institute for Medical Research, University of Tasmania and the Tasmanian State Service (TSS). The partnerships purpose was to evaluate a comprehensive workplace health promotion programme (Healthy@Work) targeting 30 000 public sector employees; generating new knowledge and influencing workplace health promotion policy and decision-making. This mixed methods study evaluates the partnership between policy-makers and academics and identifies strategies that enabled pH@W to deliver key project outcomes. A pH@W document review was conducted, two partnership assessment tools completed and semi-structured interviews conducted with key policy-makers and academics. Analysis of the partnership assessment tools and interviews found that pH@W had reached a strong level of collaboration. Policy-relevant knowledge was generated about the health of TSS employees and their engagement with workplace health promotion. Knowledge exchange of a conceptual and instrumental nature occurred and was facilitated by the shared grant application, clear governance structures, joint planning, regular information exchange between researchers and policy-makers and research student placements in the TSS. Flexibility and acknowledgement of different priorities and perspectives of partner organizations were identified as critical factors for enabling effective partnership working and research relevance. Academic-policy-maker partnerships can be a powerful mechanism for improving policy relevance of research, but need to incorporate strategies that facilitate regular input from researchers and policy-makers in order to achieve this. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

The medical decision model and decision maker tools for management of radiological and nuclear incidents.

PubMed

Koerner, John F; Coleman, C Norman; Murrain-Hill, Paula; FitzGerald, Denis J; Sullivan, Julie M

2014-06-01

Effective decision making during a rapidly evolving emergency such as a radiological or nuclear incident requires timely interim decisions and communications from onsite decision makers while further data processing, consultation, and review are ongoing by reachback experts. The authors have recently proposed a medical decision model for use during a radiological or nuclear disaster, which is similar in concept to that used in medical care, especially when delay in action can have disastrous effects. For decision makers to function most effectively during a complex response, they require access to onsite subject matter experts who can provide information, recommendations, and participate in public communication efforts. However, in the time before this expertise is available or during the planning phase, just-in-time tools are essential that provide critical overview of the subject matter written specifically for the decision makers. Recognizing the complexity of the science, risk assessment, and multitude of potential response assets that will be required after a nuclear incident, the Office of the Assistant Secretary for Preparedness and Response, in collaboration with other government and non-government experts, has prepared a practical guide for decision makers. This paper illustrates how the medical decision model process could facilitate onsite decision making that includes using the deliberative reachback process from science and policy experts and describes the tools now available to facilitate timely and effective incident management.

How is the New Public Management applied in the occupational health care system? - decision-makers' and OH personnel's views in Finland

PubMed Central

2011-01-01

Background In many countries occupational health care system is in change. Occupational health studies are mainly focused on occupational health substance and content. This study offers new perspectives on municipal OHS and its operations from management perspective. Aim The aim of this study is to analyse how New Public Management (NPM) doctrines are applied in the Finnish occupational health care system (OHS). The main focus is to describe and compare the views of decision-makers' and OH workers within the framework of NPM. Methods The data were collected by semi-structured interviews from 17 municipal decision-makers' and 26 municipal OH workers. Data was analyzed by examining coded data in a theory-driven way according to Hood's doctrine of NPM. Results The doctrines were not as compatible with the OH personnel view as with the decision-makers' view. Decision-makers and OH personnel highlighted the strict criteria required for operation evaluation. Moreover, decision-makers strongly accentuated professional management in the public sector and the reorganization of public sector units. These were not equally relevant in OH personnel views. In OH personnel views, other doctrines (more attention to performance and accomplishments, emphasizing and augmentation of the competition and better control of public expense and means test) were not similarly in evidence, only weak evidence was observed when their importance viewed as medium by decision-makers. Neither of the respondents group kept the doctrine of management models of the private sector relevant. Conclusions The NPM and Hoods doctrine fitted well with OH research. The doctrine brought out view differences and similarities between decision-makers and OH personnel. For example, policymakers highlighted more strongly the structural change by emphasizing professional management compared to OH personnel. The need for reorganization of municipal OH, regardless of different operational preconditions, was obvious for both decision-makers and OH personnel. The adaptation of more clarify management to a municipal context is not trouble-free. The municipality systemic structure, complex operational environment, and reconciliation of political and officer authority set challenges to management of municipalities. PMID:21880141

Mammalian Toxicology Testing: Problem Definition Study. Capability Modules.

DTIC Science & Technology

1981-04-01

Department of the Army position unless so designated by other authorized documents 82 U, - 042 SECURITY CLASSIFICATION OF THIS PAGE (When Daoes ntoree0...immediate to ten or more years in the future. Of the many assumptions used, a major one was not to design the Facility for a specific capability, capacity or... design flexibility and to establish capability option. This will enable the Army’s decision-makers the greatest latitude in selecting the final

Human Capital - A Critical Look at Developing Better Acquisition Leaders and Decision-Makers Using the Power of Emotional Intelligence

DTIC Science & Technology

2017-03-21

To successfully implement a new American hockey training and game -playing paradigm, Brooks intensely demonstrated the power of emotional...developed an EI lesson plan that is currently delivered to every student . In the lesson, they offer the following EI definition: “ a confluence of...strategic imperative to “enable the Air Force to adapt our capabilities and thinking to assess a dynamic threat environment, outmaneuver adversaries, and

Decision Theory and the Governance of Technology.

ERIC Educational Resources Information Center

Woodhouse, Edward J.

1987-01-01

Provides an overview of the decision making process for science and technology. Finds that government agencies and officials are not the major decision makers. Examines obstacles to achieving intelligent decisions when policy makers are scientists, business executives, and consumers. Concludes with five strategies for improving technological…

Constructing Perceptions of Climate Change: a case study of regional political decision makers

NASA Astrophysics Data System (ADS)

Bray, D.

2012-12-01

This case study of climate change communications assesses the salient means of communication and the message adopted by regional political decision makers on the German Baltic coast. Realizing that cultural factors and local values (and not simply knowledge) are significant influences in explaining attitudes towards climate change, this analysis draws from the records of regional weather, from scientists with a specific focus on the region, from the political decision makers for that region, and the media message reaching the decision makers, ensuring all elements of the analysis are drawn from the same socioeconomic, geophysical, political and cultural context. This is important as the social dynamics surrounding the trust in science is of critical importance and, as such, all elements of the case study are specifically contained within a common context. If the utility of climate change knowledge is to prompt well conceived adaptation/mitigation strategies then the political decision process, or at least the perceptions shaping it, can best be understood by locating it within the world view of the decision makers involved in the production process. Using the results of two survey questionnaires, one of regional climate scientists and one of regional political decision makers, ten years of local weather records, and a summary of the message from mass media circulation, the discord in perceptions of regional climate change are quantitatively explored. The conclusions drawn from the analysis include, compared to the scientific assessment: The decision makers' perceptions of recent past differ from actual observations. The decision makers' perceptions of the future differ from scientific assessments. The decision makers tend to over estimate the magnitude of regional climate change and its impacts. The decision makers tend to over estimate the sense of immediacy for adaptation measures. The conclusions drawn suggest that in the regional political realm, it is often a social construction of climate change, not scientific claims, that are shaping decisions. While certainty is the common demand of those charged with making decisions concerning climate change, certainty is the quality that seems to be given least value in taking action. Weather records are all but ignored. The direct voice of scientists was heeded but not fully accepted. In the transition, the truth-to-power model appears to be somewhat modified, whereby power states that the future will be different, but the difference is determined by other sources; shaping images of risk and danger. One could not deny that climate and sea level have always been forces shaping patterns of human settlement. And one could not deny that perhaps the time is nigh to reassess the human relationship with nature. However, any measure considered should be done so with a rational sense of objectivity. To do otherwise, there is the risk of misallocating scare resources.

Consulting as a Strategy for Knowledge Transfer

PubMed Central

Jacobson, Nora; Butterill, Dale; Goering, Paula

2005-01-01

Academic researchers who work on health policy and health services are expected to transfer knowledge to decision makers. Decision makers often do not, however, regard academics’ traditional ways of doing research and disseminating their findings as relevant or useful. This article argues that consulting can be a strategy for transferring knowledge between researchers and decision makers and is effective at promoting the “enlightenment” and “interactive” models of knowledge use. Based on three case studies, it develops a model of knowledge transfer–focused consulting that consists of six stages and four types of work. Finally, the article explores how knowledge is generated in consulting and identifies several classes of factors facilitating its use by decision makers. PMID:15960773

Economic evaluations of health technologies in Dutch healthcare decision-making: a qualitative study of the current and potential use, barriers, and facilitators.

PubMed

Roseboom, Kitty J; van Dongen, Johanna M; Tompa, Emile; van Tulder, Maurits W; Bosmans, Judith E

2017-01-26

The use of economic evaluations in healthcare decision-making can potentially help decision-makers in allocating scarce resources as efficiently as possible. Over a decade ago, the use of such studies was found to be limited in Dutch healthcare decision-making, but their current use is unknown. Therefore, this study aimed to provide insight into the current and potential use of economic evaluations in Dutch healthcare decision-making and to identify barriers and facilitators to the use of such studies. Interviews containing semi-structured and structured questions were conducted among Dutch healthcare decision-makers. Participants were purposefully selected and special efforts were made to include decision-makers working at the macro- (national), meso- (local/regional), and micro-level (patient setting). During the interviews, a topic list was used that was based on the research questions and a literature search, and was developed in consultation with the Dutch National Healthcare Institute. Responses to the semi-structured questions were analyzed using a constant comparative approach. As for the structured questions, participants' definitions of various economic evaluation concepts were scored as either being "correct" or "incorrect" by two researchers, and summary statistics were prepared. Sixteen healthcare decision-makers were interviewed and two health economists. Decision-makers' knowledge of economic evaluations was only modest, and their current use appeared to be limited. Nonetheless, decision-makers recognized the importance of economic evaluations and saw several opportunities for extending their use at the macro- and meso-level, but not at the micro-level. The disparity between the limited use and recognition of the importance of economic evaluations is likely due to the many barriers decision-makers experience preventing their use (e.g. lack of resources, lack of formal willingness-to-pay threshold). Possible facilitators for extending the use of economic evaluations include, amongst others, educating decision-makers and the general population about economic evaluations and presenting economic evaluation results in a clearer and more understandable way. This study demonstrated that the current use and impact of economic evaluations in Dutch healthcare decision-making is limited at best. Therefore, strategies are needed to overcome the barriers that currently prevent economic evaluations from being used extensively.

Use of modified Delphi to plan knowledge translation for decision makers: an application in the field of advanced practice nursing.

PubMed

Carter, Nancy; Lavis, John N; MacDonald-Rencz, Sandra

2014-01-01

Disseminating research to decision makers is difficult. Interaction between researchers and decision makers can identify key messages and processes for dissemination. To gain agreement on the key findings from a synthesis on the integration of advanced practice nurses, we used a modified Delphi process. Nursing decision makers contributed ideas via e-mail, discussed and clarified ideas face to face, and then prioritized statements. Sixteen (89%) participated and 14 (77%) completed the final phase. Priority key messages were around access to care and outcomes. The majority identified "NPs increase access to care" and "NPs and CNSs improve patient and system outcomes" as priority messaging statements. Participants agreed policy makers and the public were target audiences for messages. Consulting with policy makers provided the necessary context to develop tailored policy messages and is a helpful approach for research dissemination. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Identifying Decision-Makers’ Science Needs for Adaptation to Climate-Related Impacts on Forest Ecosystem Services

NASA Astrophysics Data System (ADS)

Gordon, E.; Lukas, J.

2009-12-01

Through the Western Water Assessment RISA program, we are conducting a research project that will produce science synthesis information to help local, state, and federal decision-makers in Colorado and Wyoming develop adaptation strategies to deal with climate-related threats to forest ecosystem services, in particular bark beetle infestations and stand-replacing wildfires. We begin by using the problem orientation framework, a policy sciences methodology, to understand how decision-makers can most effectively address policy problems that threaten the attainment of socially accepted goals. By applying this framework to the challenges facing decision-makers, we more accurately identify specific areas where scientific research can improve decision-making. WWA researchers will next begin to connect decision-makers with relevant scientific literature and identify specific areas of future scientific research that will be most effective at addressing their needs.

Intelligence Failure: How a Commander Can Prevent It

DTIC Science & Technology

2009-10-23

Failure: How a Commander Can Prevent It The job of intelligence is to provide the decision maker with sufficient understanding of the enemy to make...Failure: How a Commander Can Prevent It The job of intelligence is to provide the decision maker with sufficient understanding of the enemy to make...reinforce these lessons. 1 Introduction The job of intelligence is to provide the decision maker with sufficient understanding of

A Case History of the Science and Management Collaboration in Understanding Hypoxia Events in Long Bay, South Carolina, USA

NASA Astrophysics Data System (ADS)

Sanger, Denise; Hernandez, Debra; Libes, Susan; Voulgaris, George; Davis, Braxton; Smith, Erik; Shuford, Rebecca; Porter, Dwayne; Koepfler, Eric; Bennett, Joseph

2010-09-01

Communication of knowledge between the scientific and management communities is a difficult process complicated by the distinctive nature of professional career goals of scientists and decision-makers. This article provides a case history highlighting a collaboration between the science and management communities that resulted from a response to a 2004 hypoxia, or low dissolved oxygen, event in Long Bay, off Myrtle Beach, South Carolina. A working group of scientists and decision-makers was established at the time of the event and has continued to interact to develop a firm understanding of the drivers responsible for hypoxia formation in Long Bay. Several factors were found to be important to ensure that these collaborative efforts were productive: (1) genuine interest in collaboratively working across disciplines to examine a problem; (2) commitment by agency leadership, decision-makers, and researchers to create successful communication mechanisms; (3) respect for each others’ perspectives and an understanding how science and management are performed and that they are not mutually exclusive; (4) networking among researchers and decision-makers to ensure appropriate team members are involved in the process; (5) use of decision-maker input in the formulation of research and monitoring projects; and (6) commitment of resources for facilitation to ensure that researchers and decision-makers are communicating effectively.

Combining communication technology utilization and organizational innovation: evidence from Canadian healthcare decision makers.

PubMed

Jbilou, Jalila; Landry, Réjean; Amara, Nabil; El Adlouni, Salaheddine

2009-08-01

Information and Communication Technology (ICT) and Organizational Innovation (OI) are seen as the miracle of post-modernity in organizations. In this way, they are supposed to resolve most organizational problems, efficiently and rapidly. OI is highly dependent on the capacity and the investment in knowledge management (internal and external) to support decision making process and to implement significant changes. We know what explains ICT utilization (ICTU) and what determines OI development (OID) in healthcare services. Moreover, the literature tends to link ICTU to OID and vice versa. However, this dependency has never been explored empirically through the lens of roles combination. To identify the existing combined roles profiles of ICTU and OID among healthcare decision makers and determine factors of the shift from a profile to another. We did the following: (1) a structured review of the literature on healthcare management by focusing on ICTU and OID which allowed us to build two indexes and a comprehensive framework; (2) a copula methodology to identify with high precision the thresholds for ICTU and OID; and (3) a cross-sectional study based on a survey done with a sample of 942 decision makers from Canadian healthcare organizations through a multinomial logit model to identify determinants of the shift. ICTU and OID are correlated at 22% (Kendal's Tau). The joint distribution (combination) of ICTU and OID shows that four major profiles exist among decision makers in Canadian healthcare organizations: the traditional decision maker, the innovative decision maker, the technologic decision maker and the contemporary decision maker. We found out that classic factors act as barriers to the shift from one profile to the desired profile (from 1 to 4, from 2 to 4 and from 3 to 4). We have identified that the attitude toward research and relational capital are transversal barriers of shift. We have also found that some factors have a specific impact such as engaging in activities of research acquisition, the administrative position (being a manager), the preference for applied research results as source of information, the degree of novelty of research results, and the gender. Modern Canadian healthcare organizations need contemporary decision makers who use ICT and develop OI, if performance is the target. Our results let us suggest that the isolated administrative agents profile is no more effective in a dynamic and changing world. Contemporary decision makers need to be more active intellectually and to take risks in their decisions. Relying exclusively on research results and on their social network is no more helpful for a real shift. Moreover, the traditional factors, i.e. organization size, time, experience ... are no more effective, especially when we consider combined roles. We propose some practical and theoretical recommendations to support these changes.

A fuzzy MCDM framework based on fuzzy measure and fuzzy integral for agile supplier evaluation

NASA Astrophysics Data System (ADS)

Dursun, Mehtap

2017-06-01

Supply chains need to be agile in order to response quickly to the changes in today's competitive environment. The success of an agile supply chain depends on the firm's ability to select the most appropriate suppliers. This study proposes a multi-criteria decision making technique for conducting an analysis based on multi-level hierarchical structure and fuzzy logic for the evaluation of agile suppliers. The ideal and anti-ideal solutions are taken into consideration simultaneously in the developed approach. The proposed decision approach enables the decision-makers to use linguistic terms, and thus, reduce their cognitive burden in the evaluation process. Furthermore, a hierarchy of evaluation criteria and their related sub-criteria is employed in the presented approach in order to conduct a more effective analysis.

Parents and end-of-life decision-making for their child: roles and responsibilities.

PubMed

Sullivan, Jane; Gillam, Lynn; Monagle, Paul

2015-09-01

Whether parents want to be and should be the decision-maker for their child in end-of-life matters are contested clinical and ethical questions. Previous research outcomes are equivocal. A qualitative interview method was used to examine the views and experiences of 25 bereaved parents in end-of-life decision-making for their child. Data were analysed thematically. Three types of decision-making roles were identified: self-determined, guided (both involving active decision-making) and acquiescent (passive).The majority of parents had been active in the decision-making process for their child. They perceived themselves as the ultimate end-of-life decision-maker. This was perceived as part of their parental responsibility. A minority of parents did not consider that they had been an active, ultimate decision-maker. Generally, parents in the self-determined and guided groups reported no negative consequences from their decision-making involvement. Importantly, parents in the acquiescent group described their experience as difficult at the time and subsequently, although not all difficulties related directly to decision-making. Parents considered that in principle parents should be the end-of-life decision-maker for their child, but understood personal characteristics and preference could prevent some parents from taking this role. This study unequivocally supports parents' desire to fulfil the end-of-life decision-making role. It provides a nuanced understanding of parents' roles and contributes evidence for the ethical position that parents should be the end-of-life decision-makers for their child, unless not in the child's best interests. On the whole, parents want this role and can manage its consequences. Indeed, not being the end-of-life decision-maker could be detrimental to parents' well-being. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

URBAN DECISION-MAKING, THE UNIVERSITY'S ROLE.

ERIC Educational Resources Information Center

BAILEY, STEPHEN K.

THE AUTHOR EXAMINES THE VARIOUS WAYS IN WHICH THE UNIVERSITY CAN AND SHOULD INFLUENCE URBAN DECISION MAKING. THE CENTRAL UNIVERSITY ROLE IS SENSITIZING THE DECISION MAKERS AND THE CITIZENS TO HUMAN MISERY, SUCH AS BIGOTRY, SQUALOR, DISEASE, UGLINESS, POVERTY, AND IGNORANCE. LONG-RANGE ROLES ARE PINPOINTING THE PROBLEMS URBAN DECISION MAKERS SHOULD…

Policy decision-making under scientific uncertainty: radiological risk assessment and the role of expert advisory groups.

PubMed

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.

Is economic valuation of ecosystem services useful to decision-makers? Lessons learned from Australian coastal and marine management.

PubMed

Marre, Jean-Baptiste; Thébaud, Olivier; Pascoe, Sean; Jennings, Sarah; Boncoeur, Jean; Coglan, Louisa

2016-08-01

Economic valuation of ecosystem services is widely advocated as being useful to support ecosystem management decision-making. However, the extent to which it is actually used or considered useful in decision-making is poorly documented. This literature blindspot is explored with an application to coastal and marine ecosystems management in Australia. Based on a nation-wide survey of eighty-eight decision-makers representing a diversity of management organizations, the perceived usefulness and level of use of economic valuation of ecosystem services, in support of coastal and marine management, are examined. A large majority of decision-makers are found to be familiar with economic valuation and consider it useful - even necessary - in decision-making, although this varies across groups of decision-makers. However, most decision-makers never or rarely use economic valuation. The perceived level of importance and trust in estimated dollar values differ across ecosystem services, and are especially high for values that relate to commercial activities. A number of factors are also found to influence respondent's use of economic valuation. Such findings concur with conclusions from other studies on the usefulness and use of ESV in environmental management decision-making. They also demonstrate the strength of the survey-based approach developed in this application to examine this issue in a variety of contexts. Copyright © 2016 Elsevier Ltd. All rights reserved.

[Attitudes and opinions of Palestinian decision-makers about premarital examination law].

PubMed

El Sharif, Nuha; Rifai, Ayshea; Assi, Sana'a; Al Hmidat, Amjad

2006-11-01

We explored the attitudes and opinions of 90 Palestinian decision-makers about the draft law on premarital examination. The findings revealed that decision-makers were aware of the spread of genetic diseases but not infectious diseases. The majority agreed on the draft law; however, they differed on the mode of its application. Half believed that the law is not ready yet for application due to insufficient financial support to establish the needed infrastructure. The most significant recommendations made by the decision-makers were to: enhance community awareness of the law, ensure proper coordination among the concerned ministries and institutions, and establish a national organization to work on endorsement of the tests and issuance of the appropriate application strategies and regulations.

The Use of Research Evidence in Public Health Decision Making Processes: Systematic Review

PubMed Central

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

On our rapidly shrinking capacity to comply with the planetary boundaries on climate change.

PubMed

Mathias, Jean-Denis; Anderies, John M; Janssen, Marco A

2017-02-07

The planetary boundary framework constitutes an opportunity for decision makers to define climate policy through the lens of adaptive governance. Here, we use the DICE model to analyze the set of adaptive climate policies that comply with the two planetary boundaries related to climate change: (1) staying below a CO 2 concentration of 550 ppm until 2100 and (2) returning to 350 ppm in 2100. Our results enable decision makers to assess the following milestones: (1) a minimum of 33% reduction of CO 2 emissions by 2055 in order to stay below 550 ppm by 2100 (this milestone goes up to 46% in the case of delayed policies); and (2) carbon neutrality and the effective implementation of innovative geoengineering technologies (10% negative emissions) before 2060 in order to return to 350 ppm in 2100, under the assumption of getting out of the baseline scenario without delay. Finally, we emphasize the need to use adaptive path-based approach instead of single point target for climate policy design.

On our rapidly shrinking capacity to comply with the planetary boundaries on climate change

PubMed Central

Mathias, Jean-Denis; Anderies, John M.; Janssen, Marco A.

2017-01-01

The planetary boundary framework constitutes an opportunity for decision makers to define climate policy through the lens of adaptive governance. Here, we use the DICE model to analyze the set of adaptive climate policies that comply with the two planetary boundaries related to climate change: (1) staying below a CO2 concentration of 550 ppm until 2100 and (2) returning to 350 ppm in 2100. Our results enable decision makers to assess the following milestones: (1) a minimum of 33% reduction of CO2 emissions by 2055 in order to stay below 550 ppm by 2100 (this milestone goes up to 46% in the case of delayed policies); and (2) carbon neutrality and the effective implementation of innovative geoengineering technologies (10% negative emissions) before 2060 in order to return to 350 ppm in 2100, under the assumption of getting out of the baseline scenario without delay. Finally, we emphasize the need to use adaptive path-based approach instead of single point target for climate policy design. PMID:28169336

On our rapidly shrinking capacity to comply with the planetary boundaries on climate change

NASA Astrophysics Data System (ADS)

Mathias, Jean-Denis; Anderies, John M.; Janssen, Marco A.

2017-02-01

The planetary boundary framework constitutes an opportunity for decision makers to define climate policy through the lens of adaptive governance. Here, we use the DICE model to analyze the set of adaptive climate policies that comply with the two planetary boundaries related to climate change: (1) staying below a CO2 concentration of 550 ppm until 2100 and (2) returning to 350 ppm in 2100. Our results enable decision makers to assess the following milestones: (1) a minimum of 33% reduction of CO2 emissions by 2055 in order to stay below 550 ppm by 2100 (this milestone goes up to 46% in the case of delayed policies); and (2) carbon neutrality and the effective implementation of innovative geoengineering technologies (10% negative emissions) before 2060 in order to return to 350 ppm in 2100, under the assumption of getting out of the baseline scenario without delay. Finally, we emphasize the need to use adaptive path-based approach instead of single point target for climate policy design.

Research on Heterogeneous Data Exchange based on XML

NASA Astrophysics Data System (ADS)

Li, Huanqin; Liu, Jinfeng

Integration of multiple data sources is becoming increasingly important for enterprises that cooperate closely with their partners for e-commerce. OLAP enables analysts and decision makers fast access to various materialized views from data warehouses. However, many corporations have internal business applications deployed on different platforms. This paper introduces a model for heterogeneous data exchange based on XML. The system can exchange and share the data among the different sources. The method used to realize the heterogeneous data exchange is given in this paper.

Health versus money. Value judgments in the perspective of decision analysis.

PubMed

Thompson, M S

1983-01-01

An important, but largely uninvestigated, value trade-off balances marginal nonhealth consumption against marginal medical care. Benefit-cost analysts have traditionally, if not fully satisfactorily, dealt with this issue by valuing health gains by their effects on productivity. Cost-effectiveness analysts compare monetary and health effects and leave their relative valuations to decision makers. A decision-analytic model using the satisfaction or utility gained from nonhealth consumption and the level of health enables one to calculate willingness to pay--a theoretically superior way of assigning monetary values to effects for benefit-cost analysis-and to determine minimally acceptable cost-effectiveness ratios. Examples show how a decision-analytic model of utility can differentiate medical actions so essential that failure to take them would be considered negligent from actions so expensive as to be unjustifiable, and can help to determine optimal legal arrangements for compensation for medical malpractice.

Decision support tool for used oil regeneration technologies assessment and selection.

PubMed

Khelifi, Olfa; Dalla Giovanna, Fabio; Vranes, Sanja; Lodolo, Andrea; Miertus, Stanislav

2006-09-01

Regeneration is the most efficient way of managing used oil. It saves money by preventing costly cleanups and liabilities that are associated with mismanagement of used oil, it helps to protect the environment and it produces a technically renewable resource by enabling an indefinite recycling potential. There are a variety of processes and licensors currently offering ways to deal with used oils. Selecting a regeneration technology for used oil involves "cross-matching" key criteria. Therefore, the first prototype of spent oil regeneration (SPORE), a decision support tool, has been developed to help decision-makers to assess the available technologies and select the preferred used oil regeneration options. The analysis is based on technical, economical and environmental criteria. These criteria are ranked to determine their relative importance for a particular used oil regeneration project. The multi-criteria decision analysis (MCDA) is the core of the SPORE using the PROMETHEE II algorithm.

Patient Preferences and Surrogate Decision Making in Neuroscience Intensive Care Units

PubMed Central

Cai, Xuemei; Robinson, Jennifer; Muehlschlegel, Susanne; White, Douglas B.; Holloway, Robert G.; Sheth, Kevin N.; Fraenkel, Liana; Hwang, David Y.

2016-01-01

In the neuroscience intensive care unit (NICU), most patients lack the capacity to make their own preferences known. This fact leads to situations where surrogate decision makers must fill the role of the patient in terms of making preference-based treatment decisions, oftentimes in challenging situations where prognosis is uncertain. The neurointensivist has a large responsibility and role to play in this shared decision making process. This review covers how NICU patient preferences are determined through existing advance care documentation or surrogate decision makers and how the optimum roles of the physician and surrogate decision maker are addressed. We outline the process of reaching a shared decision between family and care team and describe a practice for conducting optimum family meetings based on studies of ICU families in crisis. We review challenges in the decision making process between surrogate decision makers and medical teams in neurocritical care settings, as well as methods to ameliorate conflicts. Ultimately, the goal of shared decision making is to increase knowledge amongst surrogates and care providers, decrease decisional conflict, promote realistic expectations and preference-centered treatment strategies, and lift the emotional burden on families of neurocritical care patients. PMID:25990137

Surface transportation weather decision support requirements : user needs and appendices : advanced-integrated decision support using weather information for surface transportation decision makers

DOT National Transportation Integrated Search

2000-01-24

The Federal Highway Administration (FHWA) of the U.S. Department of Transportation (USDOT) : has a responsibility to coordinate and promote projects that will bring the best information on weather to decision makers, in order to improve performance o...

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.

HOSPITAL MANAGERS' NEED FOR INFORMATION ON HEALTH TECHNOLOGY INVESTMENTS.

PubMed

Ølholm, Anne Mette; Kidholm, Kristian; Birk-Olsen, Mette; Christensen, Janne Buck

2015-01-01

There is growing interest in implementing hospital-based health technology assessment (HB-HTA) as a tool to facilitate decision making based on a systematic and multidisciplinary assessment of evidence. However, the decision-making process, including the informational needs of hospital decision makers, is not well described. The objective was to review empirical studies analysing the information that hospital decision makers need when deciding about health technology (HT) investments. A systematic review of empirical studies published in English or Danish from 2000 to 2012 was carried out. The literature was assessed by two reviewers working independently. The identified informational needs were assessed with regard to their agreement with the nine domains of EUnetHTA's Core Model. A total of 2,689 articles were identified and assessed. The review process resulted in 14 relevant studies containing 74 types of information that hospital decision makers found relevant. In addition to information covered by the Core Model, other types of information dealing with political and strategic aspects were identified. The most frequently mentioned types of information in the literature related to clinical, economic and political/strategic aspects. Legal, social, and ethical aspects were seldom considered most important. Hospital decision makers are able to describe their information needs when deciding on HT investments. The different types of information were not of equal importance to hospital decision makers, however, and full agreement between EUnetHTA's Core Model and the hospital decision-makers' informational needs was not observed. They also need information on political and strategic aspects not covered by the Core Model.

A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker.

PubMed

Leibfried, Felix; Braun, Daniel A

2015-08-01

Rate distortion theory describes how to communicate relevant information most efficiently over a channel with limited capacity. One of the many applications of rate distortion theory is bounded rational decision making, where decision makers are modeled as information channels that transform sensory input into motor output under the constraint that their channel capacity is limited. Such a bounded rational decision maker can be thought to optimize an objective function that trades off the decision maker's utility or cumulative reward against the information processing cost measured by the mutual information between sensory input and motor output. In this study, we interpret a spiking neuron as a bounded rational decision maker that aims to maximize its expected reward under the computational constraint that the mutual information between the neuron's input and output is upper bounded. This abstract computational constraint translates into a penalization of the deviation between the neuron's instantaneous and average firing behavior. We derive a synaptic weight update rule for such a rate distortion optimizing neuron and show in simulations that the neuron efficiently extracts reward-relevant information from the input by trading off its synaptic strengths against the collected reward.

Bridging the gap between science and decision making

PubMed Central

von Winterfeldt, Detlof

2013-01-01

All decisions, whether they are personal, public, or business-related, are based on the decision maker’s beliefs and values. Science can and should help decision makers by shaping their beliefs. Unfortunately, science is not easily accessible to decision makers, and scientists often do not understand decision makers’ information needs. This article presents a framework for bridging the gap between science and decision making and illustrates it with two examples. The first example is a personal health decision. It shows how a formal representation of the beliefs and values can reflect scientific inputs by a physician to combine with the values held by the decision maker to inform a medical choice. The second example is a public policy decision about managing a potential environmental hazard. It illustrates how controversial beliefs can be reflected as uncertainties and informed by science to make better decisions. Both examples use decision analysis to bridge science and decisions. The conclusions suggest that this can be a helpful process that requires skills in both science and decision making. PMID:23940310

Health data and data governance.

PubMed

Hovenga, Evelyn J S; Grain, Heather

2013-01-01

Health is a knowledge industry, based on data collected to support care, service planning, financing and knowledge advancement. Increasingly there is a need to collect, retrieve and use health record information in an electronic format to provide greater flexibility, as this enables retrieval and display of data in multiple locations and formats irrespective of where the data were collected. Electronically maintained records require greater structure and consistency to achieve this. The use of data held in records generated in real time in clinical systems also has the potential to reduce the time it takes to gain knowledge, as there is less need to collect research specific information, this is only possible if data governance principles are applied. Connected devices and information systems are now generating huge amounts of data, as never before seen. An ability to analyse and mine very large amounts of data, "Big Data", provides policy and decision makers with new insights into varied aspects of work and information flow and operational business patterns and trends, and drives greater efficiencies, and safer and more effective health care. This enables decision makers to apply rules and guidance that have been developed based upon knowledge from many individual patient records through recognition of triggers based upon that knowledge. In clinical decision support systems information about the individual is compared to rules based upon knowledge gained from accumulated information of many to provide guidance at appropriate times in the clinical process. To achieve this the data in the individual system, and the knowledge rules must be represented in a compatible and consistent manner. This chapter describes data attributes; explains the difference between data and information; outlines the requirements for quality data; shows the relevance of health data standards; and describes how data governance impacts representation of content in systems and the use of that information.

Bi-Level Decision Making for Supporting Energy and Water Nexus

NASA Astrophysics Data System (ADS)

Zhang, X.; Vesselinov, V. V.

2016-12-01

The inseparable relationship between energy production and water resources has led to the emerging energy-water nexus concept, which provides a means for integrated management and decision making of these two critical resources. However, the energy-water nexus frequently involves decision makers with different and competing management objectives. Furthermore, there is a challenge that decision makers and stakeholders might be making decisions sequentially from a higher level to a lower level, instead of at the same decision level, whereby the objective of a decision maker at a higher level should be satisfied first. In this study, a bi-level decision model is advanced to handle such decision-making situations for managing the energy-water nexus. The work represents a unique contribution to developing an integrated decision-support framework/tool to quantify and analyze the tradeoffs between the two-level energy-water nexus decision makers. Here, plans for electricity generation, fuel supply, water supply, capacity expansion of the power plants and environmental impacts are optimized to provide effective decision support. The developed decision-support framework is implemented in Julia (a high-level, high-performance dynamic programming language for technical computing) and is a part of the MADS (Model Analyses & Decision Support) framework (http://mads.lanl.gov). To demonstrate the capabilities of the developed methodology, a series of analyses are performed for synthetic problems consistent with actual real-world energy-water nexus management problems.

Alternative Fuels Data Center: Telework

Science.gov Websites

for vehicle fleet managers and corporate decision makers to work with employees to conserve fuel . Telecommute Resources These resources can help corporate decision makers develop and support telework

'Holding the line': a qualitative study of the role of evidence in early phase decision-making in the reconfiguration of stroke services in London.

PubMed

Fraser, Alec; Baeza, Juan I; Boaz, Annette

2017-06-09

Health service reconfigurations are of international interest but remain poorly understood. This article focuses on the use of evidence by senior managerial decision-makers involved in the reconfiguration of stroke services in London 2008-2012. Recent work comparing stroke service reconfiguration in London and Manchester emphasises the ability of senior managerial decision-makers in London to 'hold the line' in the crucial early phases of the stroke reconfiguration programme. In this article, we explore in detail how these decision-makers 'held the line' and ask what the broader power implications of doing so are for the interaction between evidence, health policy and system redesign. The research combined semi-structured interviews (n = 20) and documentary analysis of historically relevant policy papers and contemporary stroke reconfiguration documentation published by NHS London and other interested parties (n = 125). We applied a critical interpretive and reflexive approach to the analysis of the data. We identified two forms of power which senior managerial decision-makers drew upon in order to 'hold the line'. Firstly, discursive power, which through an emphasis on evidence, better patient outcomes, professional support and clinical credibility alongside a tightly managed consultation process, helped to set an agenda that was broadly receptive to the overall decision to change stroke services in the capital in a radical way. Secondly, once the essential parameters of the decision to change services had been agreed, senior managerial decision-makers 'held the line' through hierarchical New Public Management style power to minimise the traditional pressures to de-radicalise the reconfiguration through 'top down' decision-making. We problematise the concept of 'holding the line' and explore the power implications of such managerial approaches in the early phases of health service reconfiguration. We highlight the importance of evidence for senior managerial decision-makers in agenda setting and the limitations of clinical research findings in guiding politically sensitive policy decisions which impact upon regional healthcare systems.

An Evaluation of Health Impact Assessments in the United States, 2011–2014

PubMed Central

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

Bringing science to the table: Case studies in science-informed decision making on climate change and beyond

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.

Bridge over troubled waters: A Synthesis Session to connect scientific and decision making sectors

EPA Science Inventory

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 polic...

Research-based-decision-making in Canadian health organizations: a behavioural approach.

PubMed

Jbilou, Jalila; Amara, Nabil; Landry, Réjean

2007-06-01

Decision making in Health sector is affected by a several elements such as economic constraints, political agendas, epidemiologic events, managers' values and environment... These competing elements create a complex environment for decision making. Research-Based-Decision-Making (RBDM) offers an opportunity to reduce the generated uncertainty and to ensure efficacy and efficiency in health administrations. We assume that RBDM is dependant on decision makers' behaviour and the identification of the determinants of this behaviour can help to enhance research results utilization in health sector decision making. This paper explores the determinants of RBDM as a personal behaviour among managers and professionals in health administrations in Canada. From the behavioural theories and the existing literature, we build a model measuring "RBDM" as an index based on five items. These items refer to the steps accomplished by a decision maker while developing a decision which is based on evidence. The determinants of RBDM behaviour are identified using data collected from 942 health care decision makers in Canadian health organizations. Linear regression is used to model the behaviour RBDM. Determinants of this behaviour are derived from Triandis Theory and Bandura's construct "self-efficacy." The results suggest that to improve research use among managers in Canadian governmental health organizations, strategies should focus on enhancing exposition to evidence through facilitating communication networks, partnerships and links between researchers and decision makers, with the key long-term objective of developing a culture that supports and values the contribution that research can make to decision making in governmental health organizations. Nevertheless, depending on the organizational level, determinants of RBDM are different. This difference has to be taken into account if RBDM adoption is desired. Decision makers in Canadian health organizations (CHO) can help to build networks, develop partnerships between professionals locally, regionally and nationally, and also act as change agents in the dissemination and adoption of knowledge and innovations in health services. However, the research focused on knowledge use as a support to decision-making, further research is needed to identify and evaluate effective incentives and strategies to implement so as to enhance RBDM adoption among health decision makers and more theoretical development are to complete in this perspective.

Clustering and group selection of multiple criteria alternatives with application to space-based networks.

PubMed

Malakooti, Behnam; Yang, Ziyong

2004-02-01

In many real-world problems, the range of consequences of different alternatives are considerably different. In addition, sometimes, selection of a group of alternatives (instead of only one best alternative) is necessary. Traditional decision making approaches treat the set of alternatives with the same method of analysis and selection. In this paper, we propose clustering alternatives into different groups so that different methods of analysis, selection, and implementation for each group can be applied. As an example, consider the selection of a group of functions (or tasks) to be processed by a group of processors. The set of tasks can be grouped according to their similar criteria, and hence, each cluster of tasks to be processed by a processor. The selection of the best alternative for each clustered group can be performed using existing methods; however, the process of selecting groups is different than the process of selecting alternatives within a group. We develop theories and procedures for clustering discrete multiple criteria alternatives. We also demonstrate how the set of alternatives is clustered into mutually exclusive groups based on 1) similar features among alternatives; 2) ideal (or most representative) alternatives given by the decision maker; and 3) other preferential information of the decision maker. The clustering of multiple criteria alternatives also has the following advantages. 1) It decreases the set of alternatives to be considered by the decision maker (for example, different decision makers are assigned to different groups of alternatives). 2) It decreases the number of criteria. 3) It may provide a different approach for analyzing multiple decision makers problems. Each decision maker may cluster alternatives differently, and hence, clustering of alternatives may provide a basis for negotiation. The developed approach is applicable for solving a class of telecommunication networks problems where a set of objects (such as routers, processors, or intelligent autonomous vehicles) are to be clustered into similar groups. Objects are clustered based on several criteria and the decision maker's preferences.

Disaster Response Modeling Through Discrete-Event Simulation

NASA Technical Reports Server (NTRS)

Wang, Jeffrey; Gilmer, Graham

2012-01-01

Organizations today are required to plan against a rapidly changing, high-cost environment. This is especially true for first responders to disasters and other incidents, where critical decisions must be made in a timely manner to save lives and resources. Discrete-event simulations enable organizations to make better decisions by visualizing complex processes and the impact of proposed changes before they are implemented. A discrete-event simulation using Simio software has been developed to effectively analyze and quantify the imagery capabilities of domestic aviation resources conducting relief missions. This approach has helped synthesize large amounts of data to better visualize process flows, manage resources, and pinpoint capability gaps and shortfalls in disaster response scenarios. Simulation outputs and results have supported decision makers in the understanding of high risk locations, key resource placement, and the effectiveness of proposed improvements.

Alternative Fuels Data Center: Mass Transit

Science.gov Websites

traveled and fuel used by private vehicles. Vehicle fleet managers, corporate decision makers, and public effective incentives for fleet managers and corporate decision makers to build mass transit ridership

Alternative Fuels Data Center: Transportation System Efficiency

Science.gov Websites

energy use. Transportation planners and corporate decision makers can implement combinations of these corporate decision makers can help employees telework to conserve fuel. Maps & Data Average Annual Fuel

Assessing Contractor Capabilities for Streamlined Site Investigations

EPA Pesticide Factsheets

The purpose of this document is to familiarize and encourage brownfields decision makers to investigate and employ innovative methods for characterizing their sites, to assist brownfields decision makers in assessing contractors' capabilities.

Relevance of a Managerial Decision-Model to Educational Administration.

ERIC Educational Resources Information Center

Lundin, Edward.; Welty, Gordon

The rational model of classical economic theory assumes that the decision maker has complete information on alternatives and consequences, and that he chooses the alternative that maximizes expected utility. This model does not allow for constraints placed on the decision maker resulting from lack of information, organizational pressures,…

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…

Teacher as Decision-Maker.

ERIC Educational Resources Information Center

Smith, Carl B.

The teacher as decisionmaker is a fairly new concept, and yet the choices teachers make--among alternative approaches--afffect the attitudes, knowledge, and skills students carry into adult life. This booklet's chapter titles are as follows: (1) New Image for Teachers--Decision-Maker; (2) Decisions Teachers Make; (3) A Rational Model; (4) Planning…

Sandia National Laboratories: Pathfinder Radar ISR and Synthetic Aperture

Science.gov Websites

Eyes for the Warfighter Actionable Intelligence for the Decision Maker Actionable Intelligence for the Decision Maker All Weather, Persistent, Optical Like All Weather, Persistent, Optical Like Real-time, High radar systems encompass the entire end-to-end connectivity needed for decision superiority to ensure

Negative Attitudes toward Older Workers and Hiring Decisions: Testing the Moderating Role of Decision Makers' Core Self-Evaluations.

PubMed

Fasbender, Ulrike; Wang, Mo

2016-01-01

Organizational hiring practices have been charged for unfair treatment on the grounds of age. Drawing on theories of planned behavior and core self-evaluations, this research investigated the impact of negative attitudes toward older workers on hiring decisions and examined the moderating role of decision-makers' core self-evaluations. We tested our hypotheses based on a structured online questionnaire and a vignette study using a sample of 102 participants working in human resource management across different industries. As predicted, negative attitudes toward older workers were positively related to avoidance of hiring older people, which in turn was negatively related to the likelihood to select the oldest candidate. Because hiring decisions are not only about the hiring subject but also about the decision-maker, we tested the moderating role of decision-makers' core self-evaluations. Results showed that core self-evaluations buffered the relationship between negative attitudes toward older workers and avoidance of hiring older people. Theoretical implications of the findings with regard to hiring decisions about older people and practical recommendations to improve diversity management strategies and age-balanced hiring practices in organizations are discussed.

Do evidence summaries increase policy-makers' use of evidence from systematic reviews: A systematic review protocol.

PubMed

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.

Concordance Between Veterans' Self-Report and Documentation of Surrogate Decision Makers: Implications for Quality Measurement.

PubMed

Garner, Kimberly K; Dubbert, Patricia; Lensing, Shelly; Sullivan, Dennis H

2017-01-01

The Measuring What Matters initiative of the American Academy of Hospice and Palliative Medicine and the Hospice and Palliative Nurses Association identified documentation of a surrogate decision maker as one of the top 10 quality indicators in the acute hospital and hospice settings. To better understand the potential implementation of this Measuring What Matters quality measure #8, Documentation of Surrogate in outpatient primary care settings by describing primary care patients' self-reported identification and documentation of a surrogate decision maker. Examination of patient responses to self-assessment questions from advance health care planning educational groups conducted in one medical center primary care clinic and seven community-based outpatient primary care clinics. We assessed the concordance between patient reports of identifying and naming a surrogate decision maker and having completed an advance directive (AD) with presence of an AD in the electronic medical record. Of veterans without a documented AD on file, more than half (66%) reported that they had talked with someone they trusted and nearly half (52%) reported that they had named someone to communicate their preferences. Our clinical project data suggest that many more veterans may have initiated communications with surrogate decision makers than is evident in the electronic medical record. System changes are needed to close the gap between veterans' plans for a surrogate decision maker and the documentation available to acute care health care providers. Published by Elsevier Inc.

Bridging the gap between the economic evaluation literature and daily practice in occupational health: a qualitative study among decision-makers in the healthcare sector.

PubMed

van Dongen, Johanna M; Tompa, Emile; Clune, Laurie; Sarnocinska-Hart, Anna; Bongers, Paulien M; van Tulder, Maurits W; van der Beek, Allard J; van Wier, Marieke F

2013-06-03

Continued improvements in occupational health can only be ensured if decisions regarding the implementation and continuation of occupational health and safety interventions (OHS interventions) are based on the best available evidence. To ensure that this is the case, scientific evidence should meet the needs of decision-makers. As a first step in bridging the gap between the economic evaluation literature and daily practice in occupational health, this study aimed to provide insight into the occupational health decision-making process and information needs of decision-makers. An exploratory qualitative study was conducted with a purposeful sample of occupational health decision-makers in the Ontario healthcare sector. Eighteen in-depth interviews were conducted to explore the process by which occupational health decisions are made and the importance given to the financial implications of OHS interventions. Twenty-five structured telephone interviews were conducted to explore the sources of information used during the decision-making process, and decision-makers' knowledge on economic evaluation methods. In-depth interview data were analyzed according to the constant comparative method. For the structured telephone interviews, summary statistics were prepared. The occupational health decision-making process generally consists of three stages: initiation stage, establishing the need for an intervention; pre-implementation stage, developing an intervention and its business case in order to receive senior management approval; and implementation and evaluation stage, implementing and evaluating an intervention. During this process, information on the financial implications of OHS interventions was found to be of great importance, especially the employer's costs and benefits. However, scientific evidence was rarely consulted, sound ex-post program evaluations were hardly ever performed, and there seemed to be a need to advance the economic evaluation skill set of decision-makers. Financial information is particularly important at the front end of implementation decisions, and can be a key deciding factor of whether to go forward with a new OHS intervention. In addition, it appears that current practice in occupational health in the healthcare sector is not solidly grounded in evidence-based decision-making and strategies should be developed to improve this.

Value of information and pricing new healthcare interventions.

PubMed

Willan, Andrew R; Eckermann, Simon

2012-06-01

Previous application of value-of-information methods to optimal clinical trial design have predominantly taken a societal decision-making perspective, implicitly assuming that healthcare costs are covered through public expenditure and trial research is funded by government or donation-based philanthropic agencies. In this paper, we consider the interaction between interrelated perspectives of a societal decision maker (e.g. the National Institute for Health and Clinical Excellence [NICE] in the UK) charged with the responsibility for approving new health interventions for reimbursement and the company that holds the patent for a new intervention. We establish optimal decision making from societal and company perspectives, allowing for trade-offs between the value and cost of research and the price of the new intervention. Given the current level of evidence, there exists a maximum (threshold) price acceptable to the decision maker. Submission for approval with prices above this threshold will be refused. Given the current level of evidence and the decision maker's threshold price, there exists a minimum (threshold) price acceptable to the company. If the decision maker's threshold price exceeds the company's, then current evidence is sufficient since any price between the thresholds is acceptable to both. On the other hand, if the decision maker's threshold price is lower than the company's, then no price is acceptable to both and the company's optimal strategy is to commission additional research. The methods are illustrated using a recent example from the literature.

Mapping a Research Agenda for Home Care Safety: Perspectives from Researchers, Providers, and Decision Makers

ERIC Educational Resources Information Center

Macdonald, Marilyn; Lang, Ariella; MacDonald, Jo-Anne

2011-01-01

The purpose of this qualitative interpretive design was to explore the perspectives of researchers, health care providers, policy makers, and decision makers on key risks, concerns, and emerging issues related to home care safety that would inform a line of research inquiry. Defining safety specifically in this home care context has yet to be…

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.

Optimal global value of information trials: better aligning manufacturer and decision maker interests and enabling feasible risk sharing.

PubMed

Eckermann, Simon; Willan, Andrew R

2013-05-01

Risk sharing arrangements relate to adjusting payments for new health technologies given evidence of their performance over time. Such arrangements rely on prospective information regarding the incremental net benefit of the new technology, and its use in practice. However, once the new technology has been adopted in a particular jurisdiction, randomized clinical trials within that jurisdiction are likely to be infeasible and unethical in the cases where they would be most helpful, i.e. with current evidence of positive while uncertain incremental health and net monetary benefit. Informed patients in these cases would likely be reluctant to participate in a trial, preferring instead to receive the new technology with certainty. Consequently, informing risk sharing arrangements within a jurisdiction is problematic given the infeasibility of collecting prospective trial data. To overcome such problems, we demonstrate that global trials facilitate trialling post adoption, leading to more complete and robust risk sharing arrangements that mitigate the impact of costs of reversal on expected value of information in jurisdictions who adopt while a global trial is undertaken. More generally, optimally designed global trials offer distinct advantages over locally optimal solutions for decision makers and manufacturers alike: avoiding opportunity costs of delay in jurisdictions that adopt; overcoming barriers to evidence collection; and improving levels of expected implementation. Further, the greater strength and translatability of evidence across jurisdictions inherent in optimal global trial design reduces barriers to translation across jurisdictions characteristic of local trials. Consequently, efficiently designed global trials better align the interests of decision makers and manufacturers, increasing the feasibility of risk sharing and the expected strength of evidence over local trials, up until the point that current evidence is globally sufficient.

Group assessment of key indicators of sustainable waste management in developing countries.

PubMed

Tot, Bojana; Vujić, Goran; Srđević, Zorica; Ubavin, Dejan; Russo, Mário Augusto Tavares

2017-09-01

Decision makers in developing countries are struggling to solve the present problems of solid waste management. Prioritisation and ranking of the most important indicators that influence the waste management system is very useful for any decision maker for the future planning and implementation of a sustainable waste management system. The aim of this study is to evaluate key indicators and their related sub-indicators in a group decision-making environment. In order to gain insight into the subject it was necessary to obtain the qualified opinions of decision makers from different countries who understand the situation in the sector of waste management in developing countries. An assessment is performed by 43 decision makers from both developed and developing countries, and the applied methodology is based on a combined use of the analytic hierarchy process, from the multi-criteria decision-making set of tools, and the preferential voting method known as Borda Count, which belongs to social choice theory. Pairwise comparison of indicators is performed with the analytic hierarchy process, and the ranking of indicators once obtained is assessed with Borda Count. Detailed analysis of the final results showed that the Institutional-Administrative indicator was the most important one, with the maximum weight as derived by both groups of decision makers. The results also showed that the combined use of the analytic hierarchy process and Borda Count contributes to the credibility and objectivity of the decision-making process, allowing its use in more complex waste management group decision-making problems to be recommended.

Program management aid for redundancy selection and operational guidelines

NASA Technical Reports Server (NTRS)

Hodge, P. W.; Davis, W. L.; Frumkin, B.

1972-01-01

Although this criterion was developed specifically for use on the shuttle program, it has application to many other multi-missions programs (i.e. aircraft or mechanisms). The methodology employed is directly applicable even if the tools (nomographs and equations) are for mission peculiar cases. The redundancy selection criterion was developed to insure that both the design and operational cost impacts (life cycle costs) were considered in the selection of the quantity of operational redundancy. These tools were developed as aids in expediting the decision process and not intended as the automatic decision maker. This approach to redundancy selection is unique in that it enables a pseudo systems analysis to be performed on an equipment basis without waiting for all designs to be hardened.

Overcoming Fear: Helping Decision Makers Understand Risk in Outdoor Education

ERIC Educational Resources Information Center

Haras, Kathy

2010-01-01

The long history of outdoor education does little to alleviate the fears of many parents, teachers, principals and superintendents who believe that outdoor education is too risky. These decision makers often lack both the knowledge to make informed decisions and the time and resources to investigate their assumptions. Pair these circumstances with…

49 CFR 1503.603 - Separation of functions.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Rules of Practice in TSA Civil Penalty Actions § 1503.603 Separation of functions. (a) Civil penalty... the ALJ or by the TSA decision maker on appeal, except as counsel or a witness in the public... advise the TSA decision maker regarding an initial decision or any appeal of a civil penalty action to...

Participation in treatment decision-making among Chinese-Australian women with breast cancer.

PubMed

Kwok, Cannas; Koo, Fung Kuen

2017-03-01

Using Confucian philosophy as a conceptual framework, this article examines the extent to which cultural values and language affect the participation preferences and experiences of the breast cancer treatment decision-making (TDM) process among Chinese women with breast cancer in Australia. Three focus groups were conducted with 23 Chinese-Australian women diagnosed with breast cancer in their native language (Mandarin and Cantonese). Each interview was translated and transcribed. Content analysis was used to uncover the major themes. Four typologies emerged: the patient as an active decision maker, the patient as a passive decision maker, the patient as a reluctant decision maker and the patient as a reluctant passive decision maker. Language barriers, cultural expectation of doctor's role and family role in Chinese culture appear as influential factors in TDM process among this group of women. Intervention to improve doctors' cultural sensitivities in order to help them assess women's role preferences in TDM and the ability of doctors to communicate in a culturally appropriate manner, may improve the process of breast cancer TDM among women from Chinese background.

GAIA - A New Approach To Decision Making on Climate Disruption Issues

NASA Astrophysics Data System (ADS)

Paxton, L. J.; Weiss, M.; Schaefer, R. K.; Swartz, W. H.; Nix, M.; Strong, S. B.; Fountain, G. H.; Babin, S. M.; Pikas, C. K.; Parker, C. L.; Global Assimilation of InformationAction

2011-12-01

GAIA - the Global Assimilation of Information for Action program - provides a broadly extensible framework for enabling the development of a deeper understanding of the issues associated with climate disruption. The key notion of GAIA is that the global climate problem is so complex that a "system engineering" approach is needed in order to make it understandable. The key tenet of system engineering is to focus on requirements and to develop a cost-effective process for satisfying those requirements. To demonstrate this approach we focused first on the impact of climate disruption on public health. GAIA is described in some detail on our website (http://gaia.jhuapl.edu). Climate disruption is not just a scientific problem; one of the key issues that our community has is that of translating scientific results into knowledge that can be used to make informed decisions. In order to support decision makers we have to understand their issues and how to communicate with them. In this talk, we describe how we have built a community of interest that combines subject matter experts from diverse communities (public health, climate change, government, public policy, industry, etc) with policy makers and representatives from industry to develop, on a "level playing field", an understanding of each other's points of view and issues. The first application of this technology was the development of a workshop on Climate, Climate Change and Public Health held April 12-14, 2011. This paper describes our approach to going beyond the workshop environment to continue to engage the decision maker's community in a variety of ways that translate abstract scientific data into actionable information. Key ideas we will discuss include the development of social media, simulations of global/national/local environments affected by climate disruption, and visualizations of the monetary and health impacts of choosing not to address mitigation or adaptation to climate disruption.

Alpha-Fair Resource Allocation under Incomplete Information and Presence of a Jammer

NASA Astrophysics Data System (ADS)

Altman, Eitan; Avrachenkov, Konstantin; Garnaev, Andrey

In the present work we deal with the concept of alpha-fair resource allocation in the situation where the decision maker (in our case, the base station) does not have complete information about the environment. Namely, we develop a concept of α-fairness under uncertainty to allocate power resource in the presence of a jammer under two types of uncertainty: (a) the decision maker does not have complete knowledge about the parameters of the environment, but knows only their distribution, (b) the jammer can come into the environment with some probability bringing extra background noise. The goal of the decision maker is to maximize the α-fairness utility function with respect to the SNIR (signal to noise-plus-interference ratio). Here we consider a concept of the expected α-fairness utility function (short-term fairness) as well as fairness of expectation (long-term fairness). In the scenario with the unknown parameters of the environment the most adequate approach is a zero-sum game since it can also be viewed as a minimax problem for the decision maker playing against the nature where the decision maker has to apply the best allocation under the worst circumstances. In the scenario with the uncertainty about jamming being in the system the Nash equilibrium concept is employed since the agents have non-zero sum payoffs: the decision maker would like to maximize either the expected fairness or the fairness of expectation while the jammer would like to minimize the fairness if he comes in on the scene. For all the plots the equilibrium strategies in closed form are found. We have shown that for all the scenarios the equilibrium has to be constructed into two steps. In the first step the equilibrium jamming strategy has to be constructed based on a solution of the corresponding modification of the water-filling equation. In the second step the decision maker equilibrium strategy has to be constructed equalizing the induced by jammer background noise.

Tools for Understanding Space Weather Impacts to Satellites

NASA Astrophysics Data System (ADS)

Green, J. C.; Shprits, Y.; Likar, J. J.; Kellerman, A. C.; Quinn, R. A.; Whelan, P.; Reker, N.; Huston, S. L.

2017-12-01

Space weather causes dramatic changes in the near-Earth radiation environment. Intense particle fluxes can damage electronic components on satellites, causing temporary malfunctions, degraded performance, or a complete system/mission loss. Understanding whether space weather is the cause of such problems expedites investigations and guides successful design improvements resulting in a more robust satellite architecture. Here we discuss our progress in developing tools for satellite designers, manufacturers, and decision makers - tools that summarize space weather impacts to specific satellite assets and enable confident identification of the cause and right solution.

Web-services-based spatial decision support system to facilitate nuclear waste siting

NASA Astrophysics Data System (ADS)

Huang, L. Xinglai; Sheng, Grant

2006-10-01

The availability of spatial web services enables data sharing among managers, decision and policy makers and other stakeholders in much simpler ways than before and subsequently has created completely new opportunities in the process of spatial decision making. Though generally designed for a certain problem domain, web-services-based spatial decision support systems (WSDSS) can provide a flexible problem-solving environment to explore the decision problem, understand and refine problem definition, and generate and evaluate multiple alternatives for decision. This paper presents a new framework for the development of a web-services-based spatial decision support system. The WSDSS is comprised of distributed web services that either have their own functions or provide different geospatial data and may reside in different computers and locations. WSDSS includes six key components, namely: database management system, catalog, analysis functions and models, GIS viewers and editors, report generators, and graphical user interfaces. In this study, the architecture of a web-services-based spatial decision support system to facilitate nuclear waste siting is described as an example. The theoretical, conceptual and methodological challenges and issues associated with developing web services-based spatial decision support system are described.

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.

Using systematic reviews for hazard and risk assessment of endocrine disrupting chemicals

PubMed Central

Beronius, Anna; Vandenberg, Laura N.

2016-01-01

The possibility that endocrine disrupting chemicals (EDCs) in our environment contribute to hormonally related effects and diseases observed in human and wildlife populations has caused concern among decision makers and researchers alike. EDCs challenge principles traditionally applied in chemical risk assessment and the identification and assessment of these compounds has been a much debated topic during the last decade. State of the science reports and risk assessments of potential EDCs have been criticized for not using systematic and transparent approaches in the evaluation of evidence. In the fields of medicine and health care, systematic review methodologies have been developed and used to enable objectivity and transparency in the evaluation of scientific evidence for decision making. Lately, such approaches have also been promoted for use in the environmental health sciences and risk assessment of chemicals. Systematic review approaches could provide a tool for improving the evaluation of evidence for decision making regarding EDCs, e.g. by enabling systematic and transparent use of academic research data in this process. In this review we discuss the advantages and challenges of applying systematic review methodology in the identification and assessment of EDCs. PMID:26847432

Decision Network for Blue Green Solutions to Influence Policy Impact Assessments

NASA Astrophysics Data System (ADS)

Mijic, A.; Theodoropoulos, G.; El Hattab, M. H.; Brown, K.

2017-12-01

Sustainable Urban Drainage Systems (SuDS) deliver ecosystems services that can potentially yield multiple benefits to the urban environment. These benefits can be achieved through optimising SUDS' integration with the local environment and water resources, creating so-called Blue Green Solutions (BGS). The BGS paradigm, however, presents several challenges, in particular quantifying the benefits and creating the scientific evidence-base that can persuade high-level decision-makers and stakeholders to implement BGS at large scale. This work presents the development of the easily implemented and tailored-made approach that allows a robust assessment of the BGS co-benefits, and can influence the types of information that are included in policy impact assessments. The Analytic Network Process approach is used to synthesise the available evidence on the co-benefits of the BGS. The approach enables mapping the interactions between individual BGS selection criteria, and creates a platform to assess the synergetic benefits that arise from components interactions. By working with Government departments and other public and private sector stakeholders, this work has produced a simple decision criteria-based network that will enable the co-benefits and trade-offs of BGS to be quantified and integrated into UK policy appraisals.

Using systematic reviews for hazard and risk assessment of endocrine disrupting chemicals.

PubMed

Beronius, Anna; Vandenberg, Laura N

2015-12-01

The possibility that endocrine disrupting chemicals (EDCs) in our environment contribute to hormonally related effects and diseases observed in human and wildlife populations has caused concern among decision makers and researchers alike. EDCs challenge principles traditionally applied in chemical risk assessment and the identification and assessment of these compounds has been a much debated topic during the last decade. State of the science reports and risk assessments of potential EDCs have been criticized for not using systematic and transparent approaches in the evaluation of evidence. In the fields of medicine and health care, systematic review methodologies have been developed and used to enable objectivity and transparency in the evaluation of scientific evidence for decision making. Lately, such approaches have also been promoted for use in the environmental health sciences and risk assessment of chemicals. Systematic review approaches could provide a tool for improving the evaluation of evidence for decision making regarding EDCs, e.g. by enabling systematic and transparent use of academic research data in this process. In this review we discuss the advantages and challenges of applying systematic review methodology in the identification and assessment of EDCs.

A Markovian state-space framework for integrating flexibility into space system design decisions

NASA Astrophysics Data System (ADS)

Lafleur, Jarret M.

The past decades have seen the state of the art in aerospace system design progress from a scope of simple optimization to one including robustness, with the objective of permitting a single system to perform well even in off-nominal future environments. Integrating flexibility, or the capability to easily modify a system after it has been fielded in response to changing environments, into system design represents a further step forward. One challenge in accomplishing this rests in that the decision-maker must consider not only the present system design decision, but also sequential future design and operation decisions. Despite extensive interest in the topic, the state of the art in designing flexibility into aerospace systems, and particularly space systems, tends to be limited to analyses that are qualitative, deterministic, single-objective, and/or limited to consider a single future time period. To address these gaps, this thesis develops a stochastic, multi-objective, and multi-period framework for integrating flexibility into space system design decisions. Central to the framework are five steps. First, system configuration options are identified and costs of switching from one configuration to another are compiled into a cost transition matrix. Second, probabilities that demand on the system will transition from one mission to another are compiled into a mission demand Markov chain. Third, one performance matrix for each design objective is populated to describe how well the identified system configurations perform in each of the identified mission demand environments. The fourth step employs multi-period decision analysis techniques, including Markov decision processes from the field of operations research, to find efficient paths and policies a decision-maker may follow. The final step examines the implications of these paths and policies for the primary goal of informing initial system selection. Overall, this thesis unifies state-centric concepts of flexibility from economics and engineering literature with sequential decision-making techniques from operations research. The end objective of this thesis’ framework and its supporting tools is to enable selection of the next-generation space systems today, tailored to decision-maker budget and performance preferences, that will be best able to adapt and perform in a future of changing environments and requirements. Following extensive theoretical development, the framework and its steps are applied to space system planning problems of (1) DARPA-motivated multiple- or distributed-payload satellite selection and (2) NASA human space exploration architecture selection.

Testing information to improve communication with communities and decision makers.

DOT National Transportation Integrated Search

2011-09-01

This work focuses on important concepts in making information available to decision makers and the : public, specifically focused on the Transportation Industry. The emphasis is on the PowerPoint : presentation and enhancing the message through this ...

Delegating Decisions to Experts

ERIC Educational Resources Information Center

Li, Hao; Suen, Wing

2004-01-01

We present a model of delegation with self-interested and privately informed experts. A team of experts with extreme but opposite biases is acceptable to a wide range of decision makers with diverse preferences, but the value of expertise from such a team is low. A decision maker wants to appoint experts who are less partisan than he is in order…

A bi-objective model for optimizing replacement time of age and block policies with consideration of spare parts’ availability

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.

The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection

NASA Astrophysics Data System (ADS)

Tahriri, Farzad; Mousavi, Maryam; Hozhabri Haghighi, Siamak; Zawiah Md Dawal, Siti

2014-06-01

In today's highly rival market, an effective supplier selection process is vital to the success of any manufacturing system. Selecting the appropriate supplier is always a difficult task because suppliers posses varied strengths and weaknesses that necessitate careful evaluations prior to suppliers' ranking. This is a complex process with many subjective and objective factors to consider before the benefits of supplier selection are achieved. This paper identifies six extremely critical criteria and thirteen sub-criteria based on the literature. A new methodology employing those criteria and sub-criteria is proposed for the assessment and ranking of a given set of suppliers. To handle the subjectivity of the decision maker's assessment, an integration of fuzzy Delphi with fuzzy inference system has been applied and a new ranking method is proposed for supplier selection problem. This supplier selection model enables decision makers to rank the suppliers based on three classifications including "extremely preferred", "moderately preferred", and "weakly preferred". In addition, in each classification, suppliers are put in order from highest final score to the lowest. Finally, the methodology is verified and validated through an example of a numerical test bed.

Review of FEWS NET Biophysical Monitoring Requirements

NASA Technical Reports Server (NTRS)

Ross, K. W.; Brown, Molly E.; Verdin, J.; Underwood, L. W.

2009-01-01

The Famine Early Warning System Network (FEWS NET) provides monitoring and early warning support to decision makers responsible for responding to famine and food insecurity. FEWS NET transforms satellite remote sensing data into rainfall and vegetation information that can be used by these decision makers. The National Aeronautics and Space Administration has recently funded activities to enhance remote sensing inputs to FEWS NET. To elicit Earth observation requirements, a professional review questionnaire was disseminated to FEWS NET expert end-users: it focused upon operational requirements to determine additional useful remote sensing data and; subsequently, beneficial FEWS NET biophysical supplementary inputs. The review was completed by over 40 experts from around the world, enabling a robust set of professional perspectives to be gathered and analyzed rapidly. Reviewers were asked to evaluate the relative importance of environmental variables and spatio-temporal requirements for Earth science data products, in particular for rainfall and vegetation products. The results showed that spatio-temporal resolution requirements are complex and need to vary according to place, time, and hazard: that high resolution remote sensing products continue to be in demand, and that rainfall and vegetation products were valued as data that provide actionable food security information.

Priority setting: what constitutes success? A conceptual framework for successful priority setting.

PubMed

Sibbald, Shannon L; Singer, Peter A; Upshur, Ross; Martin, Douglas K

2009-03-05

The sustainability of healthcare systems worldwide is threatened by a growing demand for services and expensive innovative technologies. Decision makers struggle in this environment to set priorities appropriately, particularly because they lack consensus about which values should guide their decisions. One way to approach this problem is to determine what all relevant stakeholders understand successful priority setting to mean. The goal of this research was to develop a conceptual framework for successful priority setting. Three separate empirical studies were completed using qualitative data collection methods (one-on-one interviews with healthcare decision makers from across Canada; focus groups with representation of patients, caregivers and policy makers; and Delphi study including scholars and decision makers from five countries). This paper synthesizes the findings from three studies into a framework of ten separate but interconnected elements germane to successful priority setting: stakeholder understanding, shifted priorities/reallocation of resources, decision making quality, stakeholder acceptance and satisfaction, positive externalities, stakeholder engagement, use of explicit process, information management, consideration of values and context, and revision or appeals mechanism. The ten elements specify both quantitative and qualitative dimensions of priority setting and relate to both process and outcome components. To our knowledge, this is the first framework that describes successful priority setting. The ten elements identified in this research provide guidance for decision makers and a common language to discuss priority setting success and work toward improving priority setting efforts.

Knowledge focus via software agents

NASA Astrophysics Data System (ADS)

Henager, Donald E.

2001-09-01

The essence of military Command and Control (C2) is making knowledge intensive decisions in a limited amount of time using uncertain, incorrect, or outdated information. It is essential to provide tools to decision-makers that provide: * Management of friendly forces by treating the "friendly resources as a system". * Rapid assessment of effects of military actions againt the "enemy as a system". * Assessment of how an enemy should, can, and could react to friendly military activities. Software agents in the form of mission agents, target agents, maintenance agents, and logistics agents can meet this information challenge. The role of each agent is to know all the details about its assigned mission, target, maintenance, or logistics entity. The Mission Agent would fight for mission resources based on the mission priority and analyze the effect that a proposed mission's results would have on the enemy. The Target Agent (TA) communicates with other targets to determine its role in the system of targets. A system of TAs would be able to inform a planner or analyst of the status of a system of targets, the effect of that status, adn the effect of attacks on that system. The system of TAs would also be able to analyze possible enemy reactions to attack by determining ways to minimize the effect of attack, such as rerouting traffic or using deception. The Maintenance Agent would scheudle maintenance events and notify the maintenance unit. The Logistics Agent would manage shipment and delivery of supplies to maintain appropriate levels of weapons, fuel and spare parts. The central idea underlying this case of software agents is knowledge focus. Software agents are createad automatically to focus their attention on individual real-world entities (e.g., missions, targets) and view the world from that entities perspective. The agent autonomously monitors the entity, identifies problems/opportunities, formulates solutions, and informs the decision-maker. The agent must be able to communicate to receive and disseminate information and provide the decision-maker with assistance via focused knowledge. THe agent must also be able to monitor the state of its own environment and make decisions necessary to carry out its delegated tasks. Agents bring three elements to the C2 domain that offer to improve decision-making. First, they provide higher-quality feedback and provide it more often. In doing so, the feedback loop becomes nearly continuous, reducing or eliminating delays in situation updates to decision-makers. Working with the most current information possible improves the control process, thus enabling effects based operations. Second, the agents accept delegation of actions and perform those actions following an established process. Agents' consistent actions reduce the variability of human input and stabilize the control process. Third, through the delegation of actions, agents ensure 100 percent consideration of plan details.

Identifying research priorities for health care priority setting: a collaborative effort between managers and researchers

PubMed Central

Smith, Neale; Mitton, Craig; Peacock, Stuart; Cornelissen, Evelyn; MacLeod, Stuart

2009-01-01

Background To date there has been relatively little published about how research priorities are set, and even less about methods by which decision-makers can be engaged in defining a relevant and appropriate research agenda. We report on a recent effort in British Columbia to have researchers and decision-makers jointly establish an agenda for future research into questions of resource allocation. Methods The researchers enlisted decision-maker partners from each of British Columbia's six health authorities. Three forums were held, at which researchers and decision-makers from various levels in the health authorities considered possible research areas related to three key focus areas: (1) generation and use of decision criteria and measurement of 'benefit' against such criteria; (2) identification of so-called 'disinvestment' opportunities; and (3) evaluation of the effectiveness of priority setting procedures. Detailed notes were taken from each forum and synthesized into a set of qualitative themes. Results Forum participants suggested that future research into healthcare priority setting would benefit from studies that were longitudinal, comparative, and/or interdisciplinary. As well, participants identified two broad theme areas in which specific research projects were deemed desirable. First, future research might usefully consider how formal priority setting and resource allocation projects are situated within a larger organizational and political context. Second, additional research efforts should be devoted to better understanding and improving the actual implementation of priority setting frameworks, particularly with respect to issues of change management and the resolution of impediments to action on recommendations for resource allocation. Conclusion We were able to validate the importance of initial areas posed to the group and observed emergence of additional concerns and directions of critical importance to these decision-makers at this time. It is likely that the results are broadly applicable to other healthcare contexts. The implementation of this research agenda in British Columbia will depend upon the ability of the researchers and decision-makers to develop particular projects that fit within the constraints of existing funding opportunities. The process of engagement itself had benefits in terms of connecting decision-makers with their peers and sparking increased interest in the use and refinement of priority setting frameworks. PMID:19754969

Fuzzy risk explicit interval linear programming model for end-of-life vehicle recycling planning in the EU.

PubMed

Simic, Vladimir

2015-01-01

End-of-life vehicles (ELVs) are vehicles that have reached the end of their useful lives and are no longer registered or licensed for use. The ELV recycling problem has become very serious in the last decade and more and more efforts are made in order to reduce the impact of ELVs on the environment. This paper proposes the fuzzy risk explicit interval linear programming model for ELV recycling planning in the EU. It has advantages in reflecting uncertainties presented in terms of intervals in the ELV recycling systems and fuzziness in decision makers' preferences. The formulated model has been applied to a numerical study in which different decision maker types and several ELV types under two EU ELV Directive legislative cases were examined. This study is conducted in order to examine the influences of the decision maker type, the α-cut level, the EU ELV Directive and the ELV type on decisions about vehicle hulks procuring, storing unprocessed hulks, sorting generated material fractions, allocating sorted waste flows and allocating sorted metals. Decision maker type can influence quantity of vehicle hulks kept in storages. The EU ELV Directive and decision maker type have no influence on which vehicle hulk type is kept in the storage. Vehicle hulk type, the EU ELV Directive and decision maker type do not influence the creation of metal allocation plans, since each isolated metal has its regular destination. The valid EU ELV Directive eco-efficiency quotas can be reached even when advanced thermal treatment plants are excluded from the ELV recycling process. The introduction of the stringent eco-efficiency quotas will significantly reduce the quantities of land-filled waste fractions regardless of the type of decision makers who will manage vehicle recycling system. In order to reach these stringent quotas, significant quantities of sorted waste need to be processed in advanced thermal treatment plants. Proposed model can serve as the support for the European vehicle recycling managers in creating more successful ELV recycling plans. Copyright © 2014 Elsevier Ltd. All rights reserved.

Barriers to electric energy efficiency in Ghana

NASA Astrophysics Data System (ADS)

Berko, Joseph Kofi, Jr.

Development advocates argue that sustainable development strategies are the best means to permanently improve living standards in developing countries. Advocates' arguments are based on the technical, financial, and environmental advantages of sustainable development. However, they have not addressed the organizational and administrative decision-making issues which are key to successful implementation of sustainable development in developing countries. Using the Ghanaian electricity industry as a case study, this dissertation identifies and analyzes organizational structures, administrative mechanisms, and decision-maker viewpoints that critically affect the success of adoption and implementation of energy efficiency within a sustainable development framework. Utilizing semi-structured interviews in field research, decision-makers' perceptions of the pattern of the industry's development, causes of the electricity supply shortfall, and barriers to electricity-use efficiency were identified. Based on the initial findings, the study formulated a set of policy initiatives to establish support for energy use efficiency. In a second set of interviews, these policy suggestions were presented to some of the top decision-makers to elicit their reactions. According to the decision-makers, the electricity supply shortfall is due to rapid urbanization and increased industrial consumption as a result of the structural adjustment program, rural electrification, and the sudden release of suppressed loads. The study found a lack of initiative and collaboration among industry decision-makers, and a related divergence in decision-makers' concerns and viewpoints. Also, lacking are institutional support systems and knowledge of proven energy efficiency strategies and technologies. As a result, planning, and even the range of perceived solutions to choose from are supply-side oriented. The final chapter of the study presents implications of its findings and proposes that any implementation strategy will have to address the different decision-makers' concerns and viewpoints. These include the need for national policies to promote electric energy efficiency and institutional development to provide support, guidance and direction to an energy efficiency effort. It also proposes structural changes within the industry to reduce government influence by creating an independent regulatory board. Finally, it proposes the adoption of integrated resource planning strategies and changes in the supply-side dominated culture within the electric utilities.

Improving adolescent health policy: incorporating a framework for assessing state-level policies.

PubMed

Brindis, Claire D; Moore, Kristin

2014-01-01

Many US policies that affect health are made at the state, not the federal, level. Identifying state-level policies and data to analyze how different policies affect outcomes may help policy makers ascertain the usefulness of their public policies and funding decisions in improving the health of adolescent populations. A framework for describing and assessing the role of federal and state policies on adolescent health and well-being is proposed; an example of how the framework might be applied to the issue of teen childbearing is included. Such a framework can also help inform analyses of whether and how state and federal policies contribute to the variation across states in meeting adolescent health needs. A database on state policies, contextual variables, and health outcomes data can further enable researchers and policy makers to examine how these factors are associated with behaviors they aim to impact.

Rationality versus reality: the challenges of evidence-based decision making for health policy makers

PubMed Central

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

Rationality versus reality: the challenges of evidence-based decision making for health policy makers.

PubMed

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.

GNSS CORS hardware and software enabling new science

NASA Astrophysics Data System (ADS)

Drummond, P.

2009-12-01

GNSS CORS networks are enabling new opportunities for science and public and private sector business. This paper will explore how the newest geodetic monitoring software and GNSS receiver hardware from Trimble Navigation Ltd are enabling new science. Technology trends and science opportunities will be explored. These trends include the installation of active GNSS control, automation of observations and processing, and the advantages of multi-observable and multi-constellation observations, all performed with the use of off the shelf products and industry standard open-source data formats. Also the possibilities with moving science from an after-the-fact postprocessed model to a real-time epoch-by-epoch solution will be explored. This presentation will also discuss the combination of existing GNSS CORS networks with project specific installations used for monitoring. Experience is showing GNSS is able to provide higher resolution data than previous methods, providing new tools for science, decision makers and financial planners.

Linking science, public values, and decision-making: Case study development for public deliberations about climate change resilience

NASA Astrophysics Data System (ADS)

Weller, N.; Bennett, I.; Bernstein, M.; Farooque, M.; Lloyd, J.; Lowenthal, C.; Sittenfeld, D.

2016-12-01

Actionable science seeks to align scientific inquiry with decision-making priorities to overcome rifts between scientific knowledge and the needs of decision makers. Combining actionable science with explorations of public values and priorities creates useful support for decision makers facing uncertainty, tradeoffs, and limited resources. As part of a broader project to create public forums about climate change resilience, we convened workshops with decision makers, resilience experts, and community stakeholders to discuss climate change resilience. Our goals were 1) to create case studies of resilience strategies for use in public deliberations at science museums across 8 U.S. cities; and 2) to build relationships with decision makers and stakeholders interested in these public deliberations. Prior to workshops, we created summaries of resilience strategies using academic literature, government assessments, municipal resilience plans, and conversations with workshop participants. Workshops began with example deliberation activities followed by semi-structured discussions of resilience strategies centered on 4 questions: 1) What are the key decisions to be made regarding each strategy? 2) What stakeholders and perspectives are relevant to each strategy? 3) What available data are relevant to each strategy? 4) What visualizations or other resources are useful for communicating things about each strategy? Workshops yielded actionable dialogue regarding issues of justice, feasibility, and the socio-ecological-technical systems impacted by climate change hazards and resilience strategies. For example, discussions of drought revealed systemic and individual-level challenges and opportunities; discussions of sea level rise included ways to account for the cultural significance of many coastal communities. The workshops provide a model for identifying decision-making priorities and tradeoffs and building partnerships among stakeholders, scientists, and decision makers.

Issues in Distance Education: A Primer for Higher Education Decision Makers

ERIC Educational Resources Information Center

Beaudoin, Michael

2016-01-01

This chapter presents an overview of current issues related to distance learning in higher education. It identifies central questions, issues, challenges, and opportunities that must be addressed by decision makers, as well as key attributes of effective leaders.

The effect of prognostic data presentation format on perceived risk among surrogate decision makers of critically ill patients: a randomized comparative trial.

PubMed

Chapman, Andy R; Litton, Edward; Chamberlain, Jenny; Ho, Kwok M

2015-04-01

The purpose of this study is to determine whether varying the format used to present prognostic data alters the perception of risk among surrogate decision makers in the intensive care unit (ICU). This was a prospective randomized comparative trial conducted in a 23-bed adult tertiary ICU. Enrolled surrogate decision makers were randomized to 1 of 2 questionnaires, which presented hypothetical ICU scenarios, identical other than the format in which prognostic data were presented (eg, frequencies vs percentages). Participants were asked to rate the risk associated with each prognostic statement. We enrolled 141 surrogate decision makers. The perception of risk varied significantly dependent on the presentation format. For "quantitative data," risks were consistently perceived as higher, when presented as frequencies (eg, 1 in 50) compared with equivalent percentages (eg, 2%). Framing "qualitative data" in terms of chance of "death" rather than "survival" led to a statistically significant increase in perceived risks. Framing "quantitative" data in this way did not significantly affect risk perception. Data format had a significant effect on how surrogate decision makers interpreted risk. Qualitative statements are interpreted widely and affected by framing. Where possible, multiple quantitative formats should be used for presenting prognostic information. Crown Copyright © 2014. Published by Elsevier Inc. All rights reserved.

Research of Simple Multi-Attribute Rating Technique for Decision Support

NASA Astrophysics Data System (ADS)

Siregar, Dodi; Arisandi, Diki; Usman, Ari; Irwan, Dedy; Rahim, Robbi

2017-12-01

One of the roles of decision support system is that it can assist the decision maker in obtaining the appropriate alternative with the desired criteria, one of the methods that could apply for the decision maker is SMART method with multicriteria decision making. This multi-criteria decision-making theory has meaning where every alternative has criteria and has value and weight, and the author uses this approach to facilitate decision making with a compelling case. The problems discussed in this paper are classified into problems of a variety Multiobjective (multiple goals to be accomplished) and multicriteria (many of the decisive criteria in reaching such decisions).

Incentives for Optimal Multi-level Allocation of HIV Prevention Resources

PubMed Central

Malvankar, Monali M.; Zaric, Gregory S.

2013-01-01

HIV/AIDS prevention funds are often allocated at multiple levels of decision-making. Optimal allocation of HIV prevention funds maximizes the number of HIV infections averted. However, decision makers often allocate using simple heuristics such as proportional allocation. We evaluate the impact of using incentives to encourage optimal allocation in a two-level decision-making process. We model an incentive based decision-making process consisting of an upper-level decision maker allocating funds to a single lower-level decision maker who then distributes funds to local programs. We assume that the lower-level utility function is linear in the amount of the budget received from the upper-level, the fraction of funds reserved for proportional allocation, and the number of infections averted. We assume that the upper level objective is to maximize the number of infections averted. We illustrate with an example using data from California, U.S. PMID:23766551

Fuzzy sets, rough sets, and modeling evidence: Theory and Application. A Dempster-Shafer based approach to compromise decision making with multiattributes applied to product selection

NASA Technical Reports Server (NTRS)

Dekorvin, Andre

1992-01-01

The Dempster-Shafer theory of evidence is applied to a multiattribute decision making problem whereby the decision maker (DM) must compromise with available alternatives, none of which exactly satisfies his ideal. The decision mechanism is constrained by the uncertainty inherent in the determination of the relative importance of each attribute element and the classification of existing alternatives. The classification of alternatives is addressed through expert evaluation of the degree to which each element is contained in each available alternative. The relative importance of each attribute element is determined through pairwise comparisons of the elements by the decision maker and implementation of a ratio scale quantification method. Then the 'belief' and 'plausibility' that an alternative will satisfy the decision maker's ideal are calculated and combined to rank order the available alternatives. Application to the problem of selecting computer software is given.

Do probabilistic forecasts lead to better decisions?

NASA Astrophysics Data System (ADS)

Ramos, M. H.; van Andel, S. J.; Pappenberger, F.

2012-12-01

The last decade has seen growing research in producing probabilistic hydro-meteorological forecasts and increasing their reliability. This followed the promise that, supplied with information about uncertainty, people would take better risk-based decisions. In recent years, therefore, research and operational developments have also start putting attention to ways of communicating the probabilistic forecasts to decision makers. Communicating probabilistic forecasts includes preparing tools and products for visualization, but also requires understanding how decision makers perceive and use uncertainty information in real-time. At the EGU General Assembly 2012, we conducted a laboratory-style experiment in which several cases of flood forecasts and a choice of actions to take were presented as part of a game to participants, who acted as decision makers. Answers were collected and analyzed. In this paper, we present the results of this exercise and discuss if indeed we make better decisions on the basis of probabilistic forecasts.

Do probabilistic forecasts lead to better decisions?

NASA Astrophysics Data System (ADS)

Ramos, M. H.; van Andel, S. J.; Pappenberger, F.

2013-06-01

The last decade has seen growing research in producing probabilistic hydro-meteorological forecasts and increasing their reliability. This followed the promise that, supplied with information about uncertainty, people would take better risk-based decisions. In recent years, therefore, research and operational developments have also started focusing attention on ways of communicating the probabilistic forecasts to decision-makers. Communicating probabilistic forecasts includes preparing tools and products for visualisation, but also requires understanding how decision-makers perceive and use uncertainty information in real time. At the EGU General Assembly 2012, we conducted a laboratory-style experiment in which several cases of flood forecasts and a choice of actions to take were presented as part of a game to participants, who acted as decision-makers. Answers were collected and analysed. In this paper, we present the results of this exercise and discuss if we indeed make better decisions on the basis of probabilistic forecasts.

Accounting for reasonableness: Exploring the personal internal framework affecting decisions about cancer drug funding.

PubMed

Sinclair, Shane; Hagen, Neil A; Chambers, Carole; Manns, Braden; Simon, Anita; Browman, George P

2008-05-01

Drug decision-makers are involved in developing and implementing policy, procedure and processes to support health resource allocation regarding drug treatment formularies. A variety of approaches to decision-making, including formal decision-making frameworks, have been developed to support transparent and fair priority setting. Recently, a decision tool, 'The 6-STEPPPs Tool', was developed to assist in making decisions about new cancer drugs within the public health care system. We conducted a qualitative study, utilizing focus groups and participant observation, in order to investigate the internal frameworks that supported and challenged individual participants as they applied this decision tool within a multi-stakeholder decision process. We discovered that health care resource allocation engaged not only the minds of decision-makers but profoundly called on the often conflicting values of the heart. Objective decision-making frameworks for new drug therapies need to consider the subjective internal frameworks of decision-makers that affect decisions. Understanding the very human, internal turmoil experienced by individuals involved in health care resource allocation, sheds additional insight into how to account for reasonableness and how to better support difficult decisions through transparent, values-based resource allocation policy, procedures and processes.

Knowledge Style Profiling: An Exploration of Cognitive, Temperament, Demographic and Organizational Characteristics among Decision Makers Using Advanced Analytical Technologies

ERIC Educational Resources Information Center

Polito, Vincent A., Jr.

2010-01-01

The objective of this research was to explore the possibilities of identifying knowledge style factors that could be used as central elements of a professional business analyst's (PBA) performance attributes at work for those decision makers that use advanced analytical technologies on decision making tasks. Indicators of knowledge style were…

On avoiding framing effects in experienced decision makers.

PubMed

Garcia-Retamero, Rocio; Dhami, Mandeep K

2013-01-01

The present study aimed to (a) demonstrate the effect of positive-negative framing on experienced criminal justice decision makers, (b) examine the debiasing effect of visually structured risk messages, and (c) investigate whether risk perceptions mediate the debiasing effect of visual aids on decision making. In two phases, 60 senior police officers estimated the accuracy of a counterterrorism technique in identifying whether a known terror suspect poses an imminent danger and decided whether they would recommend the technique to policy makers. Officers also rated their confidence in this recommendation. When information about the effectiveness of the counterterrorism technique was presented in a numerical format, officers' perceptions of accuracy and recommendation decisions were susceptible to the framing effect: The technique was perceived to be more accurate and was more likely to be recommended when its effectiveness was presented in a positive than in a negative frame. However, when the information was represented visually using icon arrays, there were no such framing effects. Finally, perceptions of accuracy mediated the debiasing effect of visual aids on recommendation decisions. We offer potential explanations for the debiasing effect of visual aids and implications for communicating risk to experienced, professional decision makers.

Linking Space Weather Science and Decision Making (Invited)

NASA Astrophysics Data System (ADS)

Fisher, G. M.

2009-12-01

Linking scientific knowledge to decision making is a challenge for both the science and policy communities. In particular, in the field of space weather, there are unique challenges such as decision makers may not know that space has weather that poses risks to our technologically-dependent economy. Additionally, in an era of limited funds for scientific research, hazards posed by other natural disasters such as flooding and earthquakes are by contrast well known to policy makers, further making the importance of space weather research and monitoring a tough sell. Today, with industries and individuals more dependent on the Global Positioning System, wireless technology, and satellites than ever before, any disruption or inaccuracy can result in severe economic impacts. Therefore, it is highly important to understand how space weather science can most benefit society. The key to connecting research to decision making is to ensure that the information is salient, credible, and legitimate. To achieve this, scientists need to understand the decision makers' perspectives, including their language and culture, and recognize that their needs may evolve. This presentation will take a closer look at the steps required to make space weather research, models, and forecasts useful to decision makers and ultimately, benefit society.

[Hospital self-management policy in Chile: perceptions of decision-makers].

PubMed

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.

Creating Ecosystem Services Indices with EnviroAtlas Metrics

EPA Science Inventory

To support the well-being of future generations, ecosystem services (ES) need to be fully understood and evaluated by decision-makers. Geospatial tools, such as the EnviroAtlas, allow decision-makers, urban planners, public health professionals, and other stakeholders to view and...

Exploring Institutional Mechanisms for Scientific Input into the Management Cycle of the National Protected Area Network of Peru: Gaps and Opportunities.

PubMed

López-Rodríguez, M D; Castro, H; Arenas, M; Requena-Mullor, J M; Cano, A; Valenzuela, E; Cabello, J

2017-12-01

Understanding how to improve decision makers' use of scientific information across their different scales of management is a core challenge for narrowing the gap between science and conservation practice. Here, we present a study conducted in collaboration with decision makers that aims to explore the functionality of the mechanisms for scientific input within the institutional setting of the National Protected Area Network of Peru. First, we analyzed institutional mechanisms to assess the scientific information recorded by decision makers. Second, we developed two workshops involving scientists, decision makers and social actors to identify barriers to evidence-based conservation practice. Third, we administered 482 questionnaires to stakeholders to explore social perceptions of the role of science and the willingness to collaborate in the governance of protected areas. The results revealed that (1) the institutional mechanisms did not effectively promote the compilation and application of scientific knowledge for conservation practice; (2) six important barriers hindered scientific input in management decisions; and (3) stakeholders showed positive perceptions about the involvement of scientists in protected areas and expressed their willingness to collaborate in conservation practice. This collaborative research helped to (1) identify gaps and opportunities that should be addressed for increasing the effectiveness of the institutional mechanisms and (2) support institutional changes integrating science-based strategies for strengthening scientific input in decision-making. These insights provide a useful contextual orientation for scholars and decision makers interested in conducting empirical research to connect scientific inputs with operational aspects of the management cycle in other institutional settings around the world.

Equilibrium approach towards water resource management and pollution control in coal chemical industrial park.

PubMed

Xu, Jiuping; Hou, Shuhua; Xie, Heping; Lv, Chengwei; Yao, Liming

2018-08-01

In this study, an integrated water and waste load allocation model is proposed to assist decision makers in better understanding the trade-offs between economic growth, resource utilization, and environmental protection of coal chemical industries which characteristically have high water consumption and pollution. In the decision framework, decision makers in a same park, each of whom have different goals and preferences, work together to seek a collective benefit. Similar to a Stackelberg-Nash game, the proposed approach illuminates the decision making interrelationships and involves in the conflict coordination between the park authority and the individual coal chemical company stockholders. In the proposed method, to response to climate change and other uncertainties, a risk assessment tool, Conditional Value-at-Risk (CVaR) and uncertainties through reflecting parameters and coefficients using probability and fuzzy set theory are integrated in the modeling process. Then a case study from Yuheng coal chemical park is presented to demonstrate the practicality and efficiency of the optimization model. To reasonable search the potential consequences of different responses to water and waste load allocation strategies, a number of scenario results considering environmental uncertainty and decision maker' attitudes are examined to explore the tradeoffs between economic development and environmental protection and decision makers' objectives. The results are helpful for decision/police makers to adjust current strategies adapting for current changes. Based on the scenario analyses and discussion, some propositions and operational policies are given and sensitive adaptation strategies are presented to support the efficient, balanced and sustainable development of coal chemical industrial parks. Copyright © 2018 Elsevier Ltd. All rights reserved.

Exploring Institutional Mechanisms for Scientific Input into the Management Cycle of the National Protected Area Network of Peru: Gaps and Opportunities

NASA Astrophysics Data System (ADS)

López-Rodríguez, M. D.; Castro, H.; Arenas, M.; Requena-Mullor, J. M.; Cano, A.; Valenzuela, E.; Cabello, J.

2017-12-01

Understanding how to improve decision makers' use of scientific information across their different scales of management is a core challenge for narrowing the gap between science and conservation practice. Here, we present a study conducted in collaboration with decision makers that aims to explore the functionality of the mechanisms for scientific input within the institutional setting of the National Protected Area Network of Peru. First, we analyzed institutional mechanisms to assess the scientific information recorded by decision makers. Second, we developed two workshops involving scientists, decision makers and social actors to identify barriers to evidence-based conservation practice. Third, we administered 482 questionnaires to stakeholders to explore social perceptions of the role of science and the willingness to collaborate in the governance of protected areas. The results revealed that (1) the institutional mechanisms did not effectively promote the compilation and application of scientific knowledge for conservation practice; (2) six important barriers hindered scientific input in management decisions; and (3) stakeholders showed positive perceptions about the involvement of scientists in protected areas and expressed their willingness to collaborate in conservation practice. This collaborative research helped to (1) identify gaps and opportunities that should be addressed for increasing the effectiveness of the institutional mechanisms and (2) support institutional changes integrating science-based strategies for strengthening scientific input in decision-making. These insights provide a useful contextual orientation for scholars and decision makers interested in conducting empirical research to connect scientific inputs with operational aspects of the management cycle in other institutional settings around the world.

A multi-phase network situational awareness cognitive task analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Erbacher, Robert; Frincke, Deborah A.; Wong, Pak C.

Abstract The goal of our project is to create a set of next-generation cyber situational-awareness capabilities with applications to other domains in the long term. The objective is to improve the decision-making process to enable decision makers to choose better actions. To this end, we put extensive effort into making certain that we had feedback from network analysts and managers and understand what their genuine needs are. This article discusses the cognitive task-analysis methodology that we followed to acquire feedback from the analysts. This article also provides the details we acquired from the analysts on their processes, goals, concerns, themore » data and metadata that they analyze. Finally, we describe the generation of a novel task-flow diagram representing the activities of the target user base.« less

Namibian Flood Early Warning SensorWeb Pilot

NASA Technical Reports Server (NTRS)

Mandl, Daniel; Policelli, Fritz; Frye, Stuart; Cappelare, Pat; Langenhove, Guido Van; Szarzynski, Joerg; Sohlberg, Rob

2010-01-01

The major goal of the Namibia SensorWeb Pilot Project is a scientifically sound, operational trans-boundary flood management decision support system for Southern African region to provide useful flood and waterborne disease forecasting tools for local decision makers. The Pilot Project established under the auspices of: Namibian Ministry of Agriculture Water and Forestry (MAWF), Department of Water Affairs; Committee on Earth Observing Satellites (CEOS), Working Group on Information Systems and Services (WGISS); and moderated by the United Nations Platform for Space-based Information for Disaster Management and Emergency Response (UN-SPIDER). The effort consists of identifying and prototyping technology which enables the rapid gathering and dissemination of both space-based and ground sensor data and data products for the purpose of flood disaster management and water-borne disease management.

Decision analytic models for Alzheimer's disease: state of the art and future directions.

PubMed

Cohen, Joshua T; Neumann, Peter J

2008-05-01

Decision analytic policy models for Alzheimer's disease (AD) enable researchers and policy makers to investigate questions about the costs and benefits of a wide range of existing and potential screening, testing, and treatment strategies. Such models permit analysts to compare existing alternatives, explore hypothetical scenarios, and test the strength of underlying assumptions in an explicit, quantitative, and systematic way. Decision analytic models can best be viewed as complementing clinical trials both by filling knowledge gaps not readily addressed by empirical research and by extrapolating beyond the surrogate markers recorded in a trial. We identified and critiqued 13 distinct AD decision analytic policy models published since 1997. Although existing models provide useful insights, they also have a variety of limitations. (1) They generally characterize disease progression in terms of cognitive function and do not account for other distinguishing features, such as behavioral symptoms, functional performance, and the emotional well-being of AD patients and caregivers. (2) Many describe disease progression in terms of a limited number of discrete states, thus constraining the level of detail that can be used to characterize both changes in patient status and the relationships between disease progression and other factors, such as residential status, that influence outcomes of interest. (3) They have focused almost exclusively on evaluating drug treatments, thus neglecting other disease management strategies and combinations of pharmacologic and nonpharmacologic interventions. Future AD models should facilitate more realistic and compelling evaluations of various interventions to address the disease. An improved model will allow decision makers to better characterize the disease, to better assess the costs and benefits of a wide range of potential interventions, and to better evaluate the incremental costs and benefits of specific interventions used in conjunction with other disease management strategies.

Fuzzy Multicriteria Decision Analysis for Adaptive Watershed Management

NASA Astrophysics Data System (ADS)

Chang, N.

2006-12-01

The dramatic changes of societal complexity due to intensive interactions among agricultural, industrial, and municipal sectors have resulted in acute issues of water resources redistribution and water quality management in many river basins. Given the fact that integrated watershed management is more a political and societal than a technical challenge, there is a need for developing a compelling method leading to justify a water-based land use program in some critical regions. Adaptive watershed management is viewed as an indispensable tool nowadays for providing step-wise constructive decision support that is concerned with all related aspects of the water consumption cycle and those facilities affecting water quality and quantity temporally and spatially. Yet the greatest challenge that decision makers face today is to consider how to leverage ambiguity, paradox, and uncertainty to their competitive advantage of management policy quantitatively. This paper explores a fuzzy multicriteria evaluation method for water resources redistribution and subsequent water quality management with respect to a multipurpose channel-reservoir system--the Tseng- Wen River Basin, South Taiwan. Four fuzzy operators tailored for this fuzzy multicriteria decision analysis depict greater flexibility in representing the complexity of various possible trade-offs among management alternatives constrained by physical, economic, and technical factors essential for adaptive watershed management. The management strategies derived may enable decision makers to integrate a vast number of internal weirs, water intakes, reservoirs, drainage ditches, transfer pipelines, and wastewater treatment facilities within the basin and bring up the permitting issue for transboundary diversion from a neighboring river basin. Experience gained indicates that the use of different types of fuzzy operators is highly instructive, which also provide unique guidance collectively for achieving the overarching goals of sustainable development on a regional scale.

The Art of Influencing Decision Makers.

ERIC Educational Resources Information Center

Diegmueller, Karen

1992-01-01

Influencing educational decision makers requires creating ongoing relationships, keeping everyone informed, and developing persuasive skills. Persuasion requires preparation, refinement, hard work, and a sound understanding of the people being lobbied. Lobbying must be factual and relevant to the audience. The article looks at influence from the…

PUMP-AND-TREAT GROUND-WATER REMEDIATION: A GUIDE FOR DECISION MAKERS AND PRACTITIONERS

EPA Science Inventory

This guide presents decision makers with a foundation for evaluating the appropriateness of conventional or innovative approaches. An introduction to pump-and-treat ground-water remediation, the guide addresses the following questions: When is pump-and-treat an appropriate remedi...

Innovative environmental education contributes to improved management practices in the Mid-Atlantic region of the United States.

PubMed

Bradley, M Patricia; Hanson, Royce; Walbeck, Eric S

2004-06-01

The Mid-Atlantic Integrated Assessment (MAIA) and its partner, University of Maryland, Baltimore County (UMBC) have developed a graduate-level course focused on successful application of science by decision-makers to address a particular problem. Students conduct a literature review, interview the decision-makers and scientists, and synthesize and document the management problem, the science that was applied to that problem, and other issues that might constrain or drive the solution (e.g., legalities, social pressures, expense, politics, personalities, etc.). Students also quantify the results, evaluate who the intended audience is and how they most appropriately target them, and determine if there are other management problems that could be addressed with the science. The final products are short publications geared towards other decision-makers who might have a similar problem and might be seeking successful innovative solutions. MAIA is distributing these short publications to decision-makers throughout the Mid-Atlantic Region. The publications have been very positively received by state and local governments and watershed groups.

Nature of collective decision-making by simple yes/no decision units.

PubMed

Hasegawa, Eisuke; Mizumoto, Nobuaki; Kobayashi, Kazuya; Dobata, Shigeto; Yoshimura, Jin; Watanabe, Saori; Murakami, Yuuka; Matsuura, Kenji

2017-10-31

The study of collective decision-making spans various fields such as brain and behavioural sciences, economics, management sciences, and artificial intelligence. Despite these interdisciplinary applications, little is known regarding how a group of simple 'yes/no' units, such as neurons in the brain, can select the best option among multiple options. One prerequisite for achieving such correct choices by the brain is correct evaluation of relative option quality, which enables a collective decision maker to efficiently choose the best option. Here, we applied a sensory discrimination mechanism using yes/no units with differential thresholds to a model for making a collective choice among multiple options. The performance corresponding to the correct choice was shown to be affected by various parameters. High performance can be achieved by tuning the threshold distribution with the options' quality distribution. The number of yes/no units allocated to each option and its variability profoundly affects performance. When this variability is large, a quorum decision becomes superior to a majority decision under some conditions. The general features of this collective decision-making by a group of simple yes/no units revealed in this study suggest that this mechanism may be useful in applications across various fields.

Priority setting: what constitutes success? A conceptual framework for successful priority setting

PubMed Central

Sibbald, Shannon L; Singer, Peter A; Upshur, Ross; Martin, Douglas K

2009-01-01

Background The sustainability of healthcare systems worldwide is threatened by a growing demand for services and expensive innovative technologies. Decision makers struggle in this environment to set priorities appropriately, particularly because they lack consensus about which values should guide their decisions. One way to approach this problem is to determine what all relevant stakeholders understand successful priority setting to mean. The goal of this research was to develop a conceptual framework for successful priority setting. Methods Three separate empirical studies were completed using qualitative data collection methods (one-on-one interviews with healthcare decision makers from across Canada; focus groups with representation of patients, caregivers and policy makers; and Delphi study including scholars and decision makers from five countries). Results This paper synthesizes the findings from three studies into a framework of ten separate but interconnected elements germane to successful priority setting: stakeholder understanding, shifted priorities/reallocation of resources, decision making quality, stakeholder acceptance and satisfaction, positive externalities, stakeholder engagement, use of explicit process, information management, consideration of values and context, and revision or appeals mechanism. Conclusion The ten elements specify both quantitative and qualitative dimensions of priority setting and relate to both process and outcome components. To our knowledge, this is the first framework that describes successful priority setting. The ten elements identified in this research provide guidance for decision makers and a common language to discuss priority setting success and work toward improving priority setting efforts. PMID:19265518

Tutorial in medical decision modeling incorporating waiting lines and queues using discrete event simulation.

PubMed

Jahn, Beate; Theurl, Engelbert; Siebert, Uwe; Pfeiffer, Karl-Peter

2010-01-01

In most decision-analytic models in health care, it is assumed that there is treatment without delay and availability of all required resources. Therefore, waiting times caused by limited resources and their impact on treatment effects and costs often remain unconsidered. Queuing theory enables mathematical analysis and the derivation of several performance measures of queuing systems. Nevertheless, an analytical approach with closed formulas is not always possible. Therefore, simulation techniques are used to evaluate systems that include queuing or waiting, for example, discrete event simulation. To include queuing in decision-analytic models requires a basic knowledge of queuing theory and of the underlying interrelationships. This tutorial introduces queuing theory. Analysts and decision-makers get an understanding of queue characteristics, modeling features, and its strength. Conceptual issues are covered, but the emphasis is on practical issues like modeling the arrival of patients. The treatment of coronary artery disease with percutaneous coronary intervention including stent placement serves as an illustrative queuing example. Discrete event simulation is applied to explicitly model resource capacities, to incorporate waiting lines and queues in the decision-analytic modeling example.

Good Practices in Model‐Informed Drug Discovery and Development: Practice, Application, and Documentation

PubMed Central

Burghaus, R; Cosson, V; Cheung, SYA; Chenel, M; DellaPasqua, O; Frey, N; Hamrén, B; Harnisch, L; Ivanow, F; Kerbusch, T; Lippert, J; Milligan, PA; Rohou, S; Staab, A; Steimer, JL; Tornøe, C; Visser, SAG

2016-01-01

This document was developed to enable greater consistency in the practice, application, and documentation of Model‐Informed Drug Discovery and Development (MID3) across the pharmaceutical industry. A collection of “good practice” recommendations are assembled here in order to minimize the heterogeneity in both the quality and content of MID3 implementation and documentation. The three major objectives of this white paper are to: i) inform company decision makers how the strategic integration of MID3 can benefit R&D efficiency; ii) provide MID3 analysts with sufficient material to enhance the planning, rigor, and consistency of the application of MID3; and iii) provide regulatory authorities with substrate to develop MID3 related and/or MID3 enabled guidelines. PMID:27069774

Information and Decision Superiority: Right Concept, Right Tools, Right Training

DTIC Science & Technology

2007-01-01

individual services, and numerous defense contractors have spoken of " information dominance " and "information superiority." Both, particularly the former...technologies will offer an unimaginable level of information to decision makers and operators. Ideas of information dominance , however, are fundamentally...other futuristic sensors will offer an unimaginable level of information to decision makers and operators. Ideas of information dominance , however

Climate modeling with decision makers in mind

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jones, Andrew; Calvin, Katherine; Lamarque, Jean -Francois

The need for regional- and local-scale climate information is increasing rapidly as decision makers seek to anticipate and manage a variety of context-specific climate risks over the next several decades. Furthermore, global climate models are not developed with these user needs in mind, and they typically operate at resolutions that are too coarse to provide information that could be used to support regional and local decisions.

Making Invasion models useful for decision makers; incorporating uncertainty, knowledge gaps, and decision-making preferences

Treesearch

Denys Yemshanov; Frank H Koch; Mark Ducey

2015-01-01

Uncertainty is inherent in model-based forecasts of ecological invasions. In this chapter, we explore how the perceptions of that uncertainty can be incorporated into the pest risk assessment process. Uncertainty changes a decision maker’s perceptions of risk; therefore, the direct incorporation of uncertainty may provide a more appropriate depiction of risk. Our...

A Systems Thinking Framework for Assessing and Addressing Malaria Locally: An Alternative to the Globalization of Anti-Malaria Policies

ERIC Educational Resources Information Center

Willis, Derek W.

2010-01-01

This dissertation analyzes a decision system that was used in the early 1900s in the Federated Malay States (FMS) by Malcolm Watson in order to make anti-malaria program recommendations to decision makers in a wide range of ecological settings. Watson's recommendations to decision makers throughout the FMS led to a dramatic suppression of malaria…

Climate modeling with decision makers in mind

DOE PAGES

Jones, Andrew; Calvin, Katherine; Lamarque, Jean -Francois

2016-04-27

The need for regional- and local-scale climate information is increasing rapidly as decision makers seek to anticipate and manage a variety of context-specific climate risks over the next several decades. Furthermore, global climate models are not developed with these user needs in mind, and they typically operate at resolutions that are too coarse to provide information that could be used to support regional and local decisions.

System and method for integrating hazard-based decision making tools and processes

DOEpatents

Hodgin, C Reed [Westminster, CO

2012-03-20

A system and method for inputting, analyzing, and disseminating information necessary for identified decision-makers to respond to emergency situations. This system and method provides consistency and integration among multiple groups, and may be used for both initial consequence-based decisions and follow-on consequence-based decisions. The system and method in a preferred embodiment also provides tools for accessing and manipulating information that are appropriate for each decision-maker, in order to achieve more reasoned and timely consequence-based decisions. The invention includes processes for designing and implementing a system or method for responding to emergency situations.

Discounting of Delayed Rewards Is Not Hyperbolic

ERIC Educational Resources Information Center

Luhmann, Christian C.

2013-01-01

Delay discounting refers to decision-makers' tendency to value immediately available goods more than identical goods available only after some delay. In violation of standard economic theory, decision-makers frequently exhibit dynamic inconsistency; their preferences change simply due to the passage of time. The standard explanation for this…

Doubt and belief in physicians' ability to prognosticate during critical illness: The perspective of surrogate decision makers

PubMed Central

Zier, Lucas S.; Burack, Jeffrey H.; Micco, Guy; Chipman, Anne K.; Frank, James A.; Luce, John M.; White, Douglas B.

2009-01-01

Objectives: Although discussing a prognosis is a duty of physicians caring for critically ill patients, little is known about surrogate decision-makers' beliefs about physicians' ability to prognosticate. We sought to determine: 1) surrogates' beliefs about whether physicians can accurately prognosticate for critically ill patients; and 2) how individuals use prognostic information in their role as surrogate decision-makers. Design, Setting, and Patients: Multicenter study in intensive care units of a public hospital, a tertiary care hospital, and a veterans' hospital. We conducted semistructured interviews with 50 surrogate decision-makers of critically ill patients. We analyzed the interview transcripts using grounded theory methods to inductively develop a framework to describe surrogates' beliefs about physicians' ability to prognosticate. Validation methods included triangulation by multidisciplinary analysis and member checking. Measurements and Main Results: Overall, 88% (44 of 50) of surrogates expressed doubt about physicians' ability to prognosticate for critically ill patients. Four distinct themes emerged that explained surrogates' doubts about prognostic accuracy: a belief that God could alter the course of the illness, a belief that predicting the future is inherently uncertain, prior experiences where physicians' prognostications were inaccurate, and experiences with prognostication during the patient's intensive care unit stay. Participants also identified several factors that led to belief in physicians' prognostications, such as receiving similar prognostic estimates from multiple physicians and prior experiences with accurate prognostication. Surrogates' doubts about prognostic accuracy did not prevent them from wanting prognostic information. Instead, most surrogate decision-makers view physicians' prognostications as rough estimates that are valuable in informing decisions, but are not determinative. Surrogates identified the act of prognostic disclosure as a key step in preparing emotionally and practically for the possibility that a patient may not survive. Conclusions: Although many surrogate decision-makers harbor some doubt about the accuracy of physicians' prognostications, they highly value discussions about prognosis and use the information for multiple purposes. (Crit Care Med 2008; 36: 2341–2347) PMID:18596630

Bridging the gap between the economic evaluation literature and daily practice in occupational health: a qualitative study among decision-makers in the healthcare sector

PubMed Central

2013-01-01

Background Continued improvements in occupational health can only be ensured if decisions regarding the implementation and continuation of occupational health and safety interventions (OHS interventions) are based on the best available evidence. To ensure that this is the case, scientific evidence should meet the needs of decision-makers. As a first step in bridging the gap between the economic evaluation literature and daily practice in occupational health, this study aimed to provide insight into the occupational health decision-making process and information needs of decision-makers. Methods An exploratory qualitative study was conducted with a purposeful sample of occupational health decision-makers in the Ontario healthcare sector. Eighteen in-depth interviews were conducted to explore the process by which occupational health decisions are made and the importance given to the financial implications of OHS interventions. Twenty-five structured telephone interviews were conducted to explore the sources of information used during the decision-making process, and decision-makers’ knowledge on economic evaluation methods. In-depth interview data were analyzed according to the constant comparative method. For the structured telephone interviews, summary statistics were prepared. Results The occupational health decision-making process generally consists of three stages: initiation stage, establishing the need for an intervention; pre-implementation stage, developing an intervention and its business case in order to receive senior management approval; and implementation and evaluation stage, implementing and evaluating an intervention. During this process, information on the financial implications of OHS interventions was found to be of great importance, especially the employer’s costs and benefits. However, scientific evidence was rarely consulted, sound ex-post program evaluations were hardly ever performed, and there seemed to be a need to advance the economic evaluation skill set of decision-makers. Conclusions Financial information is particularly important at the front end of implementation decisions, and can be a key deciding factor of whether to go forward with a new OHS intervention. In addition, it appears that current practice in occupational health in the healthcare sector is not solidly grounded in evidence-based decision-making and strategies should be developed to improve this. PMID:23731570

Finding the numerical compensation in multiple criteria decision-making problems under fuzzy environment

NASA Astrophysics Data System (ADS)

Gupta, Mahima; Mohanty, B. K.

2017-04-01

In this paper, we have developed a methodology to derive the level of compensation numerically in multiple criteria decision-making (MCDM) problems under fuzzy environment. The degree of compensation is dependent on the tranquility and anxiety level experienced by the decision-maker while taking the decision. Higher tranquility leads to the higher realisation of the compensation whereas the increased level of anxiety reduces the amount of compensation in the decision process. This work determines the level of tranquility (or anxiety) using the concept of fuzzy sets and its various level sets. The concepts of indexing of fuzzy numbers, the risk barriers and the tranquility level of the decision-maker are used to derive his/her risk prone or risk averse attitude of decision-maker in each criterion. The aggregation of the risk levels in each criterion gives us the amount of compensation in the entire MCDM problem. Inclusion of the compensation leads us to model the MCDM problem as binary integer programming problem (BIP). The solution to BIP gives us the compensatory decision to MCDM. The proposed methodology is illustrated through a numerical example.

Adaptation Planning for Water Resources Management in the Context of Scientific Uncertainty

NASA Astrophysics Data System (ADS)

Lowrey, J.; Kenney, D.

2008-12-01

Several municipalities are beginning to create policies and plans in order to adapt to potential impacts from climate change. A 2007 report from the Heinz Center for Science, Economics, and the Environment, 'A Survey of Climate Change Adaptation Planning,' surveyed fourteen cities or counties across the U.S. and Canada that have created or are working towards creating climate change adaptation plans. Informal interactions with water managers in the Intermountain West indicate an eagerness to learn from those who have already begun adapting to potential climate change. Many of those without plans do not feel comfortable making potentially expensive long-term policy decisions based on impacts derived from uncertain climate change projections. This research identifies how decision makers currently consider climate change in adaptation planning despite imperfect information about climate change impacts, particularly in the water sector. Insights are offered into how best to provide information on climate change projections to regional decision makers so that they can begin adaptation planning for a changing climate. This research analyzes how a subset of the fourteen municipalities justified adaptive planning in the face of scientific uncertainty, paying particular attention to water resource adaptation, using the adaptation approaches studied in the 2007 Heinz Center Report. Interviews will be conducted with decision makers to learn how policies will be implemented and evaluated, and to explore resulting changes in policy or planning. Adaptation strategies are not assessed, but are used to identify how the decision makers plan to evaluate their own adaptation policies. In addition to looking at information use in adaptation plans, we compare how the plans orient themselves (adapting to projected impacts vs. increasing resiliency to current climate variability), how they address barriers and opportunities for adaptation, and whether they follow some key steps for successful adaptation as outlined in the literature. This part of the study will identify any consensus among the municipalities already adapting, and see of the decision makers tend to agree with the points of views expressed in the literature. The conclusions here will not only help decision makers trying to adapt, but it will help researchers orient future research to the informational needs of the decision makers. The work is intended to provide useful information for the Western Water Assessment, a NOAA-funded research boundary organization, which provides climate information to water resource managers in the Intermountain West, including the Colorado River Basin.

Incentivizing Decentralized Sanitation: The Role of Discount Rates.

PubMed

Wood, Alison; Blackhurst, Michael; Garland, Jay L; Lawler, Desmond F

2016-06-21

In adoption decisions for decentralized sanitation technologies, two decision makers are involved: the public utility and the individual homeowner. Standard life cycle cost is calculated from the perspective of the utility, which uses a market-based discount rate in these calculations. However, both decision-makers must be considered, including their differing perceptions of the time trade-offs inherent in a stream of costs and benefits. This study uses the discount rate as a proxy for these perceptions and decision-maker preferences. The results in two case studies emphasize the dependence on location of such analyses. Falmouth, Massachusetts, appears to be a good candidate for incentivizing decentralized sanitation while the Allegheny County Sanitary Authority service area in Pennsylvania appears to have no need for similar incentives. This method can be applied to any two-party decision in which the parties are expected to have different discount rates.

Exploring Scientific Information for Policy Making under Deep Uncertainty

NASA Astrophysics Data System (ADS)

Forni, L.; Galaitsi, S.; Mehta, V. K.; Escobar, M.; Purkey, D. R.; Depsky, N. J.; Lima, N. A.

2016-12-01

Each actor evaluating potential management strategies brings her/his own distinct set of objectives to a complex decision space of system uncertainties. The diversity of these objectives require detailed and rigorous analyses that responds to multifaceted challenges. However, the utility of this information depends on the accessibility of scientific information to decision makers. This paper demonstrates data visualization tools for presenting scientific results to decision makers in two case studies, La Paz/ El Alto, Bolivia, and Yuba County,California. Visualization output from the case studies combines spatiotemporal, multivariate and multirun/multiscenario information to produce information corresponding to the objectives defined by key actors and stakeholders. These tools can manage complex data and distill scientific information into accessible formats. Using the visualizations, scientists and decision makers can navigate the decision space and potential objective trade-offs to facilitate discussion and consensus building. These efforts can support identifying stable negotiatedagreements between different stakeholders.

Characteristics of community health organizations and decision-makers considering the adoption of motivational interviewing.

PubMed

Williams, Jessica Roberts; Dusablon, Tracy; Williams, Weston O; Blais, Marissa Puckett; Hennessy, Kevin D

2014-07-01

Research related to the adoption of comparative effectiveness research (CER) in mental health practice is limited. This study explores the factors that influence decisions to adopt motivational interviewing (MI)-an evidence-based practice (EBP) grounded in CER-among decision-makers (n = 311) in community health organizations (n = 92). Descriptive analyses focus on organization and decision-maker characteristics and processes that may influence the decision to adopt an EBP, including demographics, structure and operations, readiness, attitudes, barriers, and facilitators. Within-group agreement is examined to determine the degree to which participants within each organization gave similar responses. Results show characteristics differed according to type of organization (community health versus community behavioral health) and position (directors versus staff). Within-group agreement was also influenced by position. These findings indicate different strategies may be needed to best disseminate CER to the two groups.

Moral Hazard in Pediatrics.

PubMed

Brunnquell, Donald; Michaelson, Christopher M

2016-07-01

"Moral hazard" is a term familiar in economics and business ethics that illuminates why rational parties sometimes choose decisions with bad moral outcomes without necessarily intending to behave selfishly or immorally. The term is not generally used in medical ethics. Decision makers such as parents and physicians generally do not use the concept or the word in evaluating ethical dilemmas. They may not even be aware of the precise nature of the moral hazard problem they are experiencing, beyond a general concern for the patient's seemingly excessive burden. This article brings the language and logic of moral hazard to pediatrics. The concept reminds us that decision makers in this context are often not the primary party affected by their decisions. It appraises the full scope of risk at issue when decision makers decide on behalf of others and leads us to separate, respect, and prioritize the interests of affected parties.

Measuring and managing risk improves strategic financial planning.

PubMed

Kleinmuntz, D N; Kleinmuntz, C E; Stephen, R G; Nordlund, D S

1999-06-01

Strategic financial risk assessment is a practical technique that can enable healthcare strategic decision makers to perform quantitative analyses of the financial risks associated with a given strategic initiative. The technique comprises six steps: (1) list risk factors that might significantly influence the outcomes, (2) establish best-guess estimates for assumptions regarding how each risk factor will affect its financial outcomes, (3) identify risk factors that are likely to have the greatest impact, (4) assign probabilities to assumptions, (5) determine potential scenarios associated with combined assumptions, and (6) determine the probability-weighted average of the potential scenarios.

SO-QT: Collaborative Tool to Project the Future Space Object Population

NASA Technical Reports Server (NTRS)

Stupl, Jan

2017-01-01

Earth orbit gets increasingly congested, a challenge to space operators, both in governments and industry. We present a web tool that provides: 1) data on todays and the historic space object environments, by aggregating object-specific tracking data; and 2) future trends through a collaboration platform to collect information on planed launches. The collaborative platform enables experts to pool and compare their data in order to generate future launch scenarios. The tool is intended to support decision makers and mission designers while they investigate future missions and scholars as they develop strategies for space traffic management.

Overview of EPA tools for supporting local- and regional-scale decision makers addressing energy and environmental issues

EPA Science Inventory

EPA’s Office of Research and Development (ORD) has been developing tools and illustrative case studies for decision makers in local and regional authorities who are facing challenges of establishing resilience to extreme weather events, aging built environment and infrastru...

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…

Putting Educational Forecasts into Perspective: A Guide for Decisionmakers.

ERIC Educational Resources Information Center

Dede, Christopher; Kierstead, Fred

This paper focuses on how educational decision-makers can make use of futures research through a better understanding of forecasters' perspectives. Eight problems in communicating that are significant in contributing to poor usage of forecasts by educational decision-makers are: (1) overuse of jargon, (2) preoccupation with technological…

An analytical framework to assist decision makers in the use of forest ecosystem model predictions

USDA-ARS?s Scientific Manuscript database

The predictions of most terrestrial ecosystem models originate from deterministic simulations. Relatively few uncertainty evaluation exercises in model outputs are performed by either model developers or users. This issue has important consequences for decision makers who rely on models to develop n...

Modelling a Network of Decision Makers

DTIC Science & Technology

2004-06-01

DATES COVERED 00-00-2004 to 00-00-2004 4. TITLE AND SUBTITLE Modelling a Netowrk of Decision Makers (Briefing Charts) 5a. CONTRACT NUMBER 5b...contains color images. 14. ABSTRACT 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18. NUMBER OF PAGES 31 19a

The Others: Equitable Access, International Students, and the Community College

ERIC Educational Resources Information Center

Viggiano, Tiffany; López Damián, Ariadna I.; Morales Vázquez, Evelyn; Levin, John S.

2018-01-01

This qualitative investigation explains the ways in which community college decision makers justify the inclusion of international students at three community colleges in the United States. We identify and explain the ways in which decision makers rationalize institutional policy--particularly recruitment strategies and motivations--related to…

Adolescent pediatric decision-making: a critical reconsideration in the light of the data.

PubMed

Partridge, Brian

2014-12-01

Adolescents present a puzzle. There are foundational unclarities about how they should be regarded as decision-makers. Although superficially adolescents may appear to have mature decisional capacity, their decision-making is in many ways unlike that of adults. Despite this seemingly obvious fact, a concern for the claims of autonomy has led to the development of the legal doctrine of the mature minor. This legal construct considers adolescents, as far as possible, as equivalent to adults for the purpose of medical decision-making. The movement to support independent decision-making by adolescents through providing information to them and securing their consent apart from their parents is encouraged by those legal understandings that hold that unemancipated minors should generally be considered as possessing effective decisional capacity. Such legal structures, however, do not adequately take account of the wide variations in adolescent capacities, the immaturity of most adolescent decision-makers, or the important contributions made by parents to the development of their adolescents through parental partnering in the adolescent's decision-making. The data available indicate that in general adolescents should be regarded as apprentice decision-makers who should make decisions in collaboration with their parents until at least the age of 18. Steps should not be taken pre-emptively to isolate adolescents from the guidance of their parents. As a general rule, what Piker has referred to as "collaborative paternalism" appears most likely both to protect adolescents from their own untoward choices, while also very importantly helping them with parental guidance to develop into mature decision-makers with the capacity to make medical choices on their own.

Multi-Metric Sustainability Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cowlin, Shannon; Heimiller, Donna; Macknick, Jordan

2014-12-01

A readily accessible framework that allows for evaluating impacts and comparing tradeoffs among factors in energy policy, expansion planning, and investment decision making is lacking. Recognizing this, the Joint Institute for Strategic Energy Analysis (JISEA) funded an exploration of multi-metric sustainability analysis (MMSA) to provide energy decision makers with a means to make more comprehensive comparisons of energy technologies. The resulting MMSA tool lets decision makers simultaneously compare technologies and potential deployment locations.

Corporate financial decision makers' perceptions of their company's safety performance, programs and personnel: Do company size and industry injury risk matter?

PubMed

DeArmond, Sarah; Huang, Yueng-Hsiang; Chen, Peter Y; Courtney, Theodore K

2010-01-01

Top-level managers make important decisions about safety-related issues, yet little research has been done involving these individuals. The current study explored corporate financial decisions makers' perceptions of their company's safety and their justifications for these perceptions. This study also explored whether their perceptions and justifications varied as a function of company size or industry injury risk. A total of 404 individuals who were the most senior managers responsible for making decisions about property and casualty risk at their companies participated in this study. The participants took part in a telephone survey. The results suggest that corporate financial decision makers have positive views of safety at their companies relative to safety at other companies within their industries. Further, many believe their company's safety is influenced by the attention/emphasis placed on safety and the selection and training of safety personnel. Participants' perceptions varied somewhat based on the size of their company and the level of injury risk in their industry. While definitive conclusions about corporate financial decision makers' perceptions of safety cannot be reached as a result of this single study, this work does lay groundwork for future research aimed at better understanding the perceptions top-level managers.

Producing More Actionable Science Isn't the Problem; It's Providing Decision-Makers with Access to Right Actionable Knowledge

NASA Astrophysics Data System (ADS)

Trexler, M.

2017-12-01

Policy-makers today have almost infinite climate-relevant scientific and other information available to them. The problem for climate change decision-making isn't missing science or inadequate knowledge of climate risks; the problem is that the "right" climate change actionable knowledge isn't getting to the right decision-maker, or is getting there too early or too late to effectively influence her decision-making. Actionable knowledge is not one-size-fit-all, and for a given decision-maker might involve scientific, economic, or risk-based information. Simply producing more and more information as we are today is not the solution, and actually makes it harder for individual decision-makers to access "their" actionable knowledge. The Climatographers began building the Climate Web five years ago to test the hypothesis that a knowledge management system could help navigate the gap between infinite information and individual actionable knowledge. Today the Climate Web's more than 1,500 index terms allow instant access to almost any climate change topic. It is a curated public-access knowledgebase of more than 1,000 books, 2,000 videos, 15,000 reports and articles, 25,000 news stories, and 3,000 websites. But it is also much more, linking together tens of thousands of individually extracted ideas and graphics, and providing Deep Dives into more than 100 key topics from changing probability distributions of extreme events to climate communications best practices to cognitive dissonance in climate change decision-making. The public-access Climate Web is uniquely able to support cross-silo learning, collaboration, and actionable knowledge dissemination. The presentation will use the Climate Web to demonstrate why knowledge management should be seen as a critical component of science and policy-making collaborations.

Clarity versus complexity: land-use modeling as a practical tool for decision-makers

USGS Publications Warehouse

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.

Dynamic simulation modelling of policy responses to reduce alcohol-related harms: rationale and procedure for a participatory approach.

PubMed

Atkinson, Jo-An; O'Donnell, Eloise; Wiggers, John; McDonnell, Geoff; Mitchell, Jo; Freebairn, Louise; Indig, Devon; Rychetnik, Lucie

2017-02-15

Development of effective policy responses to address complex public health problems can be challenged by a lack of clarity about the interaction of risk factors driving the problem, differing views of stakeholders on the most appropriate and effective intervention approaches, a lack of evidence to support commonly implemented and acceptable intervention approaches, and a lack of acceptance of effective interventions. Consequently, political considerations, community advocacy and industry lobbying can contribute to a hotly contested debate about the most appropriate course of action; this can hinder consensus and give rise to policy resistance. The problem of alcohol misuse and its associated harms in New South Wales (NSW), Australia, provides a relevant example of such challenges. Dynamic simulation modelling is increasingly being valued by the health sector as a robust tool to support decision making to address complex problems. It allows policy makers to ask 'what-if' questions and test the potential impacts of different policy scenarios over time, before solutions are implemented in the real world. Participatory approaches to modelling enable researchers, policy makers, program planners, practitioners and consumer representatives to collaborate with expert modellers to ensure that models are transparent, incorporate diverse evidence and perspectives, are better aligned to the decision-support needs of policy makers, and can facilitate consensus building for action. This paper outlines a procedure for embedding stakeholder engagement and consensus building in the development of dynamic simulation models that can guide the development of effective, coordinated and acceptable policy responses to complex public health problems, such as alcohol-related harms in NSW.

Consortium for Atlantic Regional Assessment: information tools for community adaptation to changes in climate or land use.

PubMed

Dempsey, Rachael; Fisher, Ann

2005-12-01

To inform local and regional decisions about protecting short-term and long-term quality of life, the Consortium for Atlantic Regional Assessment (CARA) provides data and tools (for the northeastern United States) that can help decision makers understand how outcomes of their decisions could be affected by potential changes in both climate and land use. On an interactive, user-friendly website, CARA has amassed data on climate (historical records and future projections for seven global climate models), land cover, and socioeconomic and environmental variables, along with tools to help decision makers tailor the data for their own decision types and locations. CARA Advisory Council stakeholders help identify what information and tools stakeholders would find most useful and how to present these; they also provide in-depth feedback for subregion case studies. General lessons include: (1) decision makers want detailed local projections for periods short enough to account for extreme events, in contrast to the broader spatial and temporal observations and projections that are available or consistent at a regional level; (2) stakeholders will not use such a website unless it is visually appealing and easy to find the information they want; (3) some stakeholders need background while others want to go immediately to data, and some want maps while others want text or tables. This article also compares what has been learned across case studies of Cape May County, New Jersey, Cape Cod, Massachusetts, and Hampton Roads, Virginia, relating specifically to sea-level rise. Lessons include: (1) groups can be affected differently by physical dangers compared with economic dangers; (2) decisions will differ according to decision makers' preferences about waiting and risk tolerance; (3) future scenarios and maps can help assess the impacts of dangers to emergency evacuation routes, homes, and infrastructure, and the natural environment; (4) residents' and decision makers' perceptions are affected by information about potential local impacts from global climate change.

Service Level Decision-making in Rural Physiotherapy: Development of Conceptual Models.

PubMed

Adams, Robyn; Jones, Anne; Lefmann, Sophie; Sheppard, Lorraine

2016-06-01

Understanding decision-making about health service provision is increasingly important in an environment of increasing demand and constrained resources. Multiple factors are likely to influence decisions about which services will be provided, yet workforce is the most noted factor in the rural physiotherapy literature. This paper draws together results obtained from exploration of service level decision-making (SLDM) to propose 'conceptual' models of rural physiotherapy SLDM. A prioritized qualitative approach enabled exploration of participant perspectives about rural physiotherapy decision-making. Stakeholder perspectives were obtained through surveys and in-depth interviews. Interviews were transcribed verbatim and reviewed by participants. Participant confidentiality was maintained by coding both participants and sites. A system theory-case study heuristic provided a framework for exploration across sites within the investigation area: a large area of one Australian state with a mix of regional, rural and remote communities. Thirty-nine surveys were received from participants in 11 communities. Nineteen in-depth interviews were conducted with physiotherapists and key decision-makers. Results reveal the complexity of factors influencing rural physiotherapy service provision and the value of a systems approach when exploring decision-making about rural physiotherapy service provision. Six key features were identified that formed the rural physiotherapy SLDM system: capacity and capability; contextual influences; layered decision-making; access issues; value and beliefs; and tensions and conflict. Rural physiotherapy SLDM is not a one-dimensional process but results from the complex interaction of clusters of systems issues. Decision-making about physiotherapy service provision is influenced by both internal and external factors. Similarities in influencing factors and the iterative nature of decision-making emerged, which enabled linking physiotherapy SLDM with clinical decision-making and placing both within the broader healthcare context. The conceptual models provide a way of thinking about decisions informing rural physiotherapy service provision. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

Multi-Attribute Tradespace Exploration in Space System Design

NASA Astrophysics Data System (ADS)

Ross, A. M.; Hastings, D. E.

2002-01-01

The complexity inherent in space systems necessarily requires intense expenditures of resources both human and monetary. The high level of ambiguity present in the early design phases of these systems causes long, highly iterative, and costly design cycles. This paper looks at incorporating decision theory methods into the early design processes to streamline communication of wants and needs among stakeholders and between levels of design. Communication channeled through formal utility interviews and analysis enables engineers to better understand the key drivers for the system and allows a more thorough exploration of the design tradespace. Multi-Attribute Tradespace Exploration (MATE), an evolving process incorporating decision theory into model and simulation- based design, has been applied to several space system case studies at MIT. Preliminary results indicate that this process can improve the quality of communication to more quickly resolve project ambiguity, and enable the engineer to discover better value designs for multiple stakeholders. MATE is also being integrated into a concurrent design environment to facilitate the transfer knowledge of important drivers into higher fidelity design phases. Formal utility theory provides a mechanism to bridge the language barrier between experts of different backgrounds and differing needs (e.g. scientists, engineers, managers, etc). MATE with concurrent design couples decision makers more closely to the design, and most importantly, maintains their presence between formal reviews.

Safety of clinical and non-clinical decision makers in telephone triage: a narrative review.

PubMed

Wheeler, Sheila Q; Greenberg, Mary E; Mahlmeister, Laura; Wolfe, Nicole

2015-09-01

Patient safety is a persistent problem in telephone triage research; however, studies have not differentiated between clinicians' and non-clinicians' respective safety. Currently, four groups of decision makers perform aspects of telephone triage: clinicians (physicians, nurses), and non-clinicians (emergency medical dispatchers (EMD) and clerical staff). Using studies published between 2002-2012, we applied Donabedian's structure-process-outcome model to examine groups' systems for evidence of system completeness (a minimum measure of structure and quality). We defined system completeness as the presence of a decision maker and four additional components: guidelines, documentation, training, and standards. Defining safety as appropriate referrals (AR) - (right time, right place with the right person), we measured each groups' corresponding AR rate percentages (outcomes). We analyzed each group's respective decision-making process as a safe match to the telephone triage task, based on each group's system structure completeness, process and AR rates (outcome). Studies uniformly noted system component presence: nurses (2-4), physicians (1), EMDs (2), clerical staff (1). Nurses had the highest average appropriate referral (AR) rates (91%), physicians' AR (82% average). Clerical staff had no system and did not perform telephone triage by standard definitions; EMDs may represent the use of the wrong system. Telephone triage appears least safe after hours when decision makers with the least complete systems (physicians, clerical staff) typically manage calls. At minimum, telephone triage decision makers should be clinicians; however, clinicians' safety calls for improvement. With improved training, standards and CDSS quality, the 24/7 clinical call center has potential to represent the national standard. © The Author(s) 2015.

Priority setting in the provincial health services authority: survey of key decision makers

PubMed Central

Teng, Flora; Mitton, Craig; MacKenzie, Jennifer

2007-01-01

Background In recent years, decision makers in Canada and elsewhere have expressed a desire for more explicit, evidence-based approaches to priority setting. To achieve this aim within health care organizations, knowledge of both the organizational context and stakeholder attitudes towards priority setting are required. The current work adds to a limited yet growing body of international literature describing priority setting practices in health organizations. Methods A qualitative study was conducted using in-depth, face-to-face interviews with 25 key decision makers of the Provincial Health Services Authority (PHSA) of British Columbia. Major themes and sub-themes were identified through content analysis. Results Priorities were described by decision makers as being set in an ad hoc manner, with resources generally allocated along historical lines. Participants identified the Strategic Plan and a strong research base as strengths of the organization. The main areas for improvement were a desire to have a more transparent process for priority setting, a need to develop a culture which supports explicit priority setting, and a focus on fairness in decision making. Barriers to an explicit allocation process included the challenge of providing specialized services for disparate patient groups, and a lack of formal training in priority setting amongst decision makers. Conclusion This study identified factors important to understanding organizational context and informed next steps for explicit priority setting for a provincial health authority. While the PHSA is unique in its organizational structure in Canada, lessons about priority setting should be transferable to other contexts. PMID:17565691

Training conservation practitioners to be better decision makers

USGS Publications Warehouse

Johnson, Fred A.; Eaton, Mitchell J.; Williams, James H.; Jensen, Gitte H.; Madsen, Jesper

2015-01-01

Traditional conservation curricula and training typically emphasizes only one part of systematic decision making (i.e., the science), at the expense of preparing conservation practitioners with critical skills in values-setting, working with decision makers and stakeholders, and effective problem framing. In this article we describe how the application of decision science is relevant to conservation problems and suggest how current and future conservation practitioners can be trained to be better decision makers. Though decision-analytic approaches vary considerably, they all involve: (1) properly formulating the decision problem; (2) specifying feasible alternative actions; and (3) selecting criteria for evaluating potential outcomes. Two approaches are available for providing training in decision science, with each serving different needs. Formal education is useful for providing simple, well-defined problems that allow demonstrations of the structure, axioms and general characteristics of a decision-analytic approach. In contrast, practical training can offer complex, realistic decision problems requiring more careful structuring and analysis than those used for formal training purposes. Ultimately, the kinds and degree of training necessary depend on the role conservation practitioners play in a decision-making process. Those attempting to facilitate decision-making processes will need advanced training in both technical aspects of decision science and in facilitation techniques, as well as opportunities to apprentice under decision analysts/consultants. Our primary goal should be an attempt to ingrain a discipline for applying clarity of thought to all decisions.

Decision making, procedural compliance, and outcomes definition in U.S. forest service planning processes

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stern, Marc J., E-mail: mjstern@vt.ed; Predmore, S. Andrew, E-mail: sapredmo@vt.ed

2011-04-15

The National Environmental Policy Act (NEPA) dictates a process of analyzing and disclosing the likely impacts of proposed agency actions on the human environment. This study addresses two key questions related to NEPA implementation in the U.S. Forest Service: 1) how do Interdisciplinary (ID) team leaders and decision makers conceptualize the outcomes of NEPA processes? And 2), how does NEPA relate to agency decision making? We address these questions through two separate online surveys that posed questions about recently completed NEPA processes - the first with the ID team leaders tasked with carrying out the processes, and the second withmore » the line officers responsible for making the processes' final decisions. Outcomes of NEPA processes include impacts on public relations, on employee morale and team functioning, on the achievement of agency goals, and on the achievement of NEPA's procedural requirements (disclosure) and substantive intent (minimizing negative environmental impacts). Although both tended to view public relations outcomes as important, decision makers' perceptions of favorable outcomes were more closely linked to the achievement of agency goals and process efficiency than was the case for ID team leaders. While ID team leaders' responses suggest that they see decision making closely integrated with the NEPA process, decision makers more commonly decoupled decision making from the NEPA process. These findings suggest a philosophical difference between ID team leaders and decision makers that may pose challenges for both the implementation and the evaluation of agency NEPA. We discuss the pros and cons of integrating NEPA with decision making or separating the two. We conclude that detaching NEPA from decision making poses greater risks than integrating them.« less

A meta-analysis of gender stereotypes and bias in experimental simulations of employment decision making.

PubMed

Koch, Amanda J; D'Mello, Susan D; Sackett, Paul R

2015-01-01

Gender bias continues to be a concern in many work settings, leading researchers to identify factors that influence workplace decisions. In this study we examine several of these factors, using an organizing framework of sex distribution within jobs (including male- and female-dominated jobs as well as sex-balanced, or integrated, jobs). We conducted random effects meta-analyses including 136 independent effect sizes from experimental studies (N = 22,348) and examined the effects of decision-maker gender, amount and content of information available to the decision maker, type of evaluation, and motivation to make careful decisions on gender bias in organizational decisions. We also examined study characteristics such as type of participant, publication year, and study design. Our findings revealed that men were preferred for male-dominated jobs (i.e., gender-role congruity bias), whereas no strong preference for either gender was found for female-dominated or integrated jobs. Second, male raters exhibited greater gender-role congruity bias than did female raters for male-dominated jobs. Third, gender-role congruity bias did not consistently decrease when decision makers were provided with additional information about those they were rating, but gender-role congruity bias was reduced when information clearly indicated high competence of those being evaluated. Fourth, gender-role congruity bias did not differ between decisions that required comparisons among ratees and decisions made about individual ratees. Fifth, decision makers who were motivated to make careful decisions tended to exhibit less gender-role congruity bias for male-dominated jobs. Finally, for male-dominated jobs, experienced professionals showed smaller gender-role congruity bias than did undergraduates or working adults. (c) 2015 APA, all rights reserved.

Do violations of the axioms of expected utility theory threaten decision analysis?

PubMed

Nease, R F

1996-01-01

Research demonstrates that people violate the independence principle of expected utility theory, raising the question of whether expected utility theory is normative for medical decision making. The author provides three arguments that violations of the independence principle are less problematic than they might first appear. First, the independence principle follows from other more fundamental axioms whose appeal may be more readily apparent than that of the independence principle. Second, the axioms need not be descriptive to be normative, and they need not be attractive to all decision makers for expected utility theory to be useful for some. Finally, by providing a metaphor of decision analysis as a conversation between the actual decision maker and a model decision maker, the author argues that expected utility theory need not be purely normative for decision analysis to be useful. In short, violations of the independence principle do not necessarily represent direct violations of the axioms of expected utility theory; behavioral violations of the axioms of expected utility theory do not necessarily imply that decision analysis is not normative; and full normativeness is not necessary for decision analysis to generate valuable insights.

Surrogate End-of-Life Care Decision Makers' Postbereavement Grief and Guilt Responses.

PubMed

Lovell, Geoff P; Smith, Trish; Kannis-Dymand, Lee

2015-01-01

This article examined differences in familial/friend surrogate decision makers' (N = 93) postbereavement grief and guilt associated with decisions to either prioritize comfort or longevity in determining end-of-life care for decisionally incapacitated adult palliative loved ones. Results demonstrated that participants prioritizing the longevity of loved ones experienced significantly and meaningfully higher levels of grief, complicated grief, and trauma related guilt than those who prioritized comfort.

The Roles of Decision Makers in Special Operations

DTIC Science & Technology

2016-12-01

question and hypotheses. 9 II. CASE STUDIES A. OPERATION THUNDERBOLT (THE RAID ON ENTEBBE) The Israeli Special Forces’ hostage rescue operation...Operations Warfare, 338. 28 Herzog, “The War Against Terrorism: Entebbe,” 338. 29 Chaitanya Arun Sathe, “A Case Study on Crisis Management with a...Assessment of the Roles of Decision Makers This assessment is based on this case study , and the decision makers’ roles in the three phases of a

Climate adaptation policy, science and practice - Lessons for communication

NASA Astrophysics Data System (ADS)

Wolf, Johanna

2017-04-01

In climate change adaptation research, policy, and practice, institutional culture produces distinct conceptualizations of adaptation, which in turn affect how adaptation work is undertaken. This study examines institutional culture as the four domains of norms, values, knowledge, and beliefs that are held by adaptation scientists, policy- and decision-makers, and practitioners in Western Canada. Based on 31 semi-structured interviews, this article traces the ways in which these four domains interact, intersect, converge, and diverge among scientists, policy- and decision-makers, and practitioners. By exploring the knowledge, backgrounds, goals, approaches, assumptions, and behaviours of people working in adaptation, these interviews map the ways in which institutional culture shapes adaptation work being carried out by local, provincial, and federal governments, nongovernmental organizations, and an international community of scientists (including Canadian scientists). Findings suggest that institutional culture both limits and enables adaptation actions for these actors in important ways, significantly influencing how climate change adaptation is being planned for, and carried out on the ground. As a result, this paper asserts that there is an urgent need to better understand the role that institutional culture plays in order to advance climate change adaptation, both now and in the future. Important lessons for communicating about climate science, climate impacts and adaptation will be presented.

Learning by doing in practice: a roundtable discussion about stakeholder engagement in implementation research.

PubMed

Arwal, Said Habib; Aulakh, Bhupinder Kaur; Bumba, Ahmed; Siddula, Akshita

2017-12-28

Researchers and policy-makers alike increasingly recognise the importance of engaging diverse perspectives in implementation research. This roundtable discussion presents the experiences and perspectives of three decision-makers regarding the benefits and challenges of their engagement in implementation research. The first perspective comes from a rural district medical officer from Uganda and touches on the success of using data as evidence in a low-resource setting. The second perspective is from an Afghani Ministry of Health expert who used a community-based approach to improving healthcare services in remote regions. Finally, the third perspective highlights the successes and trials of a policy-maker from India who offers advice on how to grow the relationship between decision-makers and researchers. Overall, the stakeholders in this roundtable discussion saw important benefits to their engagement in research. In order to facilitate greater engagement in the future, they advise on closer dialogue between researchers and policy-makers and supporting the development of capacity to stimulate and facilitate engagement in research and the use of evidence in decision-making.

The Morality of University Decision-Makers

ERIC Educational Resources Information Center

Hatier, Cécile

2014-01-01

Ethical failures in UK higher education have recently made the news but are not a recent development. University decision-makers can, in order to adopt an ethical way of reasoning, resort to several ethical traditions. This article focuses, through the use of concrete examples, on three which have had a significant impact in recent higher…

Reluctant to Change: Self-Enhancing Responses to Diverging Performance Measures

ERIC Educational Resources Information Center

Audia, Pino G.; Brion, Sebastien

2007-01-01

Although there is extensive evidence that past performance influences the propensity to make changes, research on how decision makers respond to diverging performance measures has been sparse. This paper addresses this gap in an experimental and a field study in which we examine how decision makers respond to the ambiguity introduced by two…

Students as Rational Decision-Makers: The Question of Beliefs and Attitudes

ERIC Educational Resources Information Center

Sullivan, Alice

2006-01-01

Rational choice theorists have analysed rates of participation in post-compulsory education, and, in particular, class differentials in these rates. Various claims have been made about the motivations of student decision-makers, but these claims have not been grounded empirically. This paper will assess the question of whether students' attitudes…

Reported Influence of Evaluation Data on Decision Makers' Actions: An Empirical Examination

ERIC Educational Resources Information Center

Christie, Christina A.

2007-01-01

Using a set of scenarios derived from actual evaluation studies, this simulation study examines the reported influence of evaluation information on decision makers' potential actions. Each scenario described a context where one of three types of evaluation information (large-scale study data, case study data, or anecdotal accounts) is presented…

Healthy School Meals...Healthy Kids! A Leadership Guide for School Decision-Makers.

ERIC Educational Resources Information Center

Food and Consumer Service (USDA), Washington, DC.

The School Meals Initiative for Healthy Children was launched in June 1994 to improve the health and education of children through better nutrition. This leadership guide provides information to school decision-makers on using materials and resources developed by the U.S. Department of Agriculture and describes Team Nutrition, an implementation…

Children's Participation in Decision-Making in the Philippines: Understanding the Attitudes of Policy-Makers and Service Providers

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…

I know why you voted for Trump: (Over)inferring motives based on choice.

PubMed

Barasz, Kate; Kim, Tami; Evangelidis, Ioannis

2018-05-10

People often speculate about why others make the choices they do. This paper investigates how such inferences are formed as a function of what is chosen. Specifically, when observers encounter someone else's choice (e.g., of political candidate), they use the chosen option's attribute values (e.g., a candidate's specific stance on a policy issue) to infer the importance of that attribute (e.g., the policy issue) to the decision-maker. Consequently, when a chosen option has an attribute whose value is extreme (e.g., an extreme policy stance), observers infer-sometimes incorrectly-that this attribute disproportionately motivated the decision-maker's choice. Seven studies demonstrate how observers use an attribute's value to infer its weight-the value-weight heuristic-and identify the role of perceived diagnosticity: more extreme attribute values give observers the subjective sense that they know more about a decision-maker's preferences, and in turn, increase the attribute's perceived importance. The paper explores how this heuristic can produce erroneous inferences and influence broader beliefs about decision-makers. Copyright © 2018 Elsevier B.V. All rights reserved.

Constrained optimization via simulation models for new product innovation

NASA Astrophysics Data System (ADS)

Pujowidianto, Nugroho A.

2017-11-01

We consider the problem of constrained optimization where the decision makers aim to optimize the primary performance measure while constraining the secondary performance measures. This paper provides a brief overview of stochastically constrained optimization via discrete event simulation. Most review papers tend to be methodology-based. This review attempts to be problem-based as decision makers may have already decided on the problem formulation. We consider constrained optimization models as there are usually constraints on secondary performance measures as trade-off in new product development. It starts by laying out different possible methods and the reasons using constrained optimization via simulation models. It is then followed by the review of different simulation optimization approach to address constrained optimization depending on the number of decision variables, the type of constraints, and the risk preferences of the decision makers in handling uncertainties.

Disease management in healthcare organizations: results of in-depth interviews with disease management decision makers.

PubMed

Whellan, David J; Cohen, Elizabeth J; Matchar, David B; Califf, Robert M

2002-07-01

Despite the widening use of disease management (DM) programs throughout the country, little is understood about the "state of DM" in healthcare systems and managed care organizations. To better characterize the range of users of DM in healthcare and to identify critical issues, both present and future, for DM. Qualitative survey. Forty-seven healthcare systems (n = 22) and managed care organizations (n = 25) were randomly selected. Decision makers were identified and interviewed between January 1, 2000, and March 31, 2000. We limited quantitative analysis to tabulations of suitable responses, without statistical testing. Responses were organized around 3 themes: models for DM, implementation strategies, and measurements of success. Of 47 decision makers surveyed, 42 (89%) reported that their organizations currently have (75%) or are working to develop (14%) DM programs. Although the goals of DM programs were similar, organizations took a variety of approaches to achieving these ends. There were typically 3 steps in implementing a DM program: analysis of patient data, external analysis, and organizational analysis. Decision makers believed that DM programs had only achieved partial success in reaching the 2 main goals of improved quality of care and cost savings. Given the variety of DM programs, there is a need to develop a classification scheme to allow for better comparison between programs. Further quantitative studies of decision makers' opinions would be helpful in developing programs and in designing necessary studies of patient management strategies.

Cognitive task analysis of network analysts and managers for network situational awareness

NASA Astrophysics Data System (ADS)

Erbacher, Robert F.; Frincke, Deborah A.; Wong, Pak Chung; Moody, Sarah; Fink, Glenn

2010-01-01

The goal of our project is to create a set of next-generation cyber situational-awareness capabilities with applications to other domains in the long term. The situational-awareness capabilities being developed focus on novel visualization techniques as well as data analysis techniques designed to improve the comprehensibility of the visualizations. The objective is to improve the decision-making process to enable decision makers to choose better actions. To this end, we put extensive effort into ensuring we had feedback from network analysts and managers and understanding what their needs truly are. This paper discusses the cognitive task analysis methodology we followed to acquire feedback from the analysts. This paper also provides the details we acquired from the analysts on their processes, goals, concerns, etc. A final result we describe is the generation of a task-flow diagram.

Comparative Assessment and Decision Support System for Strategic Military Airlift Capability

NASA Technical Reports Server (NTRS)

Salmon, John; Iwata, Curtis; Mavris, Dimitri; Weston, Neil; Fahringer, Philip

2011-01-01

The Lockheed Martin Aeronautics Company has been awarded several programs to modernize the aging C-5 military transport fleet. In order to ensure its continuation amidst budget cuts, it was important to engage the decision makers by providing an environment to analyze the benefits of the modernization program. This paper describes an interface that allows the user to change inputs such as the scenario airfields, take-off conditions, and reliability characteristics. The underlying logistics surrogate model was generated using data from a discrete-event simulation. Various visualizations such as intercontinental flight paths illustrated in 3D, have been created to aid the user in analyzing scenarios and performing comparative assessments for various output logistics metrics. The capability to rapidly and dynamically evaluate and compare scenarios was developed enabling real time strategy exploration and trade-offs.

Decision Making and Training: A Review of Theoretical and Empirical Studies of Decision Making and Their Implications for the Training of Decision Makers

DTIC Science & Technology

1975-08-01

34 of an outcome for the particular decisi’on maker involved. According to thio formulation the same decision outcome may appeal to dif- ferent...characterizing thes_ sources is in turmu of 1he two properties: degree of passivity and deoqreu of oopcrative,,’s. According to this conceptualizati on...procedure has been, however, is open to question. Data collected during field exercises have indicated that ratinqs often are omitted from spot reports, and

Promoting universal financial protection: constraints and enabling factors in scaling-up coverage with social health insurance in Nigeria.

PubMed

Onoka, Chima A; Onwujekwe, Obinna E; Uzochukwu, Benjamin S; Ezumah, Nkoli N

2013-06-13

The National Health Insurance Scheme (NHIS) in Nigeria was launched in 2005 as part of efforts by the federal government to achieve universal coverage using financial risk protection mechanisms. However, only 4% of the population, and mainly federal government employees, are currently covered by health insurance and this is primarily through the Formal Sector Social Health Insurance Programme (FSSHIP) of the NHIS. This study aimed to understand why different state (sub-national) governments decided whether or not to adopt the FSSHIP for their employees. This study used a comparative case study approach. Data were collected through document reviews and 48 in-depth interviews with policy makers, programme managers, health providers, and civil servant leaders. Although the programme's benefits seemed acceptable to state policy makers and the intended beneficiaries (employees), the feasibility of employer contributions, concerns about transparency in the NHIS and the role of states in the FSSHIP, the roles of policy champions such as state governors and resistance by employees to making contributions, all influenced the decision of state governments on adoption. Overall, the power of state governments over state-level health reforms, attributed to the prevailing system of government that allows states to deliberate on certain national-level policies, enhanced by the NHIS legislation that made adoption voluntary, enabled states to adopt or not to adopt the program. The study demonstrates and supports observations that even when the content of a programme is generally acceptable, context, actor roles, and the wider implications of programme design on actor interests can explain decision on policy adoption. Policy implementers involved in scaling-up the NHIS programme need to consider the prevailing contextual factors, and effectively engage policy champions to overcome known challenges in order to encourage adoption by sub-national governments. Policy makers and implementers in countries scaling-up health insurance coverage should, early enough, develop strategies to overcome political challenges inherent in the path to scaling-up, to avoid delay or stunting of the process. They should also consider the potential pitfalls of reforms that first focus on civil servants, especially when the use of public funds potentially compromises coverage for other citizens.

Design Analysis Kit for Optimization and Terascale Applications 6.0

DOE Office of Scientific and Technical Information (OSTI.GOV)

2015-10-19

Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to: (1) enhance understanding of risk, (2) improve products, and (3) assess simulation credibility. In its simplest mode, Dakota can automate typical parameter variation studies through a generic interface to a computational model. However, Dakota also delivers advanced parametric analysis techniques enabling design exploration, optimization, model calibration, risk analysis, and quantification of margins and uncertainty with such models. It directly supports verificationmore » and validation activities. The algorithms implemented in Dakota aim to address challenges in performing these analyses with complex science and engineering models from desktop to high performance computers.« less

Designing evaluation studies to optimally inform policy: what factors do policy-makers in China consider when making resource allocation decisions on healthcare worker training programmes?

PubMed

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.

Implementing CER: what will it take?

PubMed

Biskupiak, Joseph E; Dunn, Jeffrey D; Holtorf, Anke-Peggy

2012-06-01

Comparative effectiveness research (CER) is undeniably changing how drugs are developed, launched, priced, and reimbursed in the United States. But most organizations are still evaluating what CER can do for them and how and when they can utilize the data. A roundtable of stakeholders, including formulary decision makers, evaluated CER's possible effects on managed care organizations (MCOs) and what it may take to fully integrate CER into decision making. To examine the role of CER in current formulary decision making, compare CER to modeling, discuss ways CER may be used in the future, and describe CER funding sources. While decision makers from different types of organizations, such as pharmacy benefit management (PBM) companies and MCOs, may have varying definitions and expectations of CER, most thought leaders from a roundtable of stakeholders, including formulary decision makers, see value in CER's ability to enhance their formulary decision making. Formulary decision makers may be able to use CER to better inform their coverage decisions in areas such as benefit design, contracting, conditional reimbursement, pay for performance, and other alternative pricing arrangements. Real-world CER will require improvement in the health information technology infrastructure to better capture value-related information. The federal government is viewed as a key driver and funding source behind CER, especially for infrastructure and methods development, while industry will adapt the clinical development and create increasing CER evidence. CER then needs to be applied to determining value (or cost efficacy). It is expected that CER will continue to grow as a valuable component of formulary decision making. Future integration of CER into formulary decision making will require federal government and academic leadership, improvements in the health information technology infrastructure, ongoing funding, and improved and more consistent methodologies.

AMCP Partnership Forum: Enabling the Exchange of Clinical and Economic Information Pre-FDA Approval.

PubMed

2017-01-01

Current federal laws and FDA regulations have significantly restricted the sharing of clinical and health economic information on biopharmaceuticals that have yet to receive FDA approval. Over the past several years, organizations that make health care coverage decisions, including those that set copayments, premiums, and formulary placement, have expressed a need for receiving this information before approval, as long as appropriate safeguards exist to prevent this information from reaching unintended entities. Population health decision makers have indicated that waiting until FDA approval is often too late for the critical planning, budgeting, and forecasting associated with health benefit design, especially given the recent influx of high-cost medications and scrutiny for better evaluation and preparation. Recognizing that securities laws restrict the disclosure of nonpublic information and may need to be amended, permissible early dissemination would allow population health decision makers to incorporate clinical and economic information for pipeline drugs or expanded indications into financial forecasting for the following year's plan. Access to this information is needed 12-18 months before FDA approval when organizations are deciding on terms of coverage and budgetary assumptions for state health insurance rate filings, Medicare and Medicaid bids, contracts with health care purchasers, and other financial arrangements. The need for exchange of clinical economic information before FDA approval was first introduced at a previous Academy of Managed Care (AMCP) forum in March 2016, which addressed section 114 of the Food and Drug Administration Modernization Act and the communication of such information after FDA approval. To address preapproval information specifically, AMCP convened a Partnership Forum on September 13-14, 2016. This forum included a diverse group of stakeholders representing managed care, the biopharmaceutical industry, providers, patients, health economists, academia, and others. The multistakeholder group represented the key professionals and entities affected by the federal laws and FDA regulations that restrict the sharing of preapproval information and the collective credibility necessary for proposing this new communication process. Forum participants primarily focused on 6 items of discussion: (1) creating and defining new terms for how biopharmaceutical manufacturers may provide clinical and economic information 12-18 months before FDA approval; (2) defining the clinical and scientific standards that this information should meet; (3) determining which entities should have access to this information and the value to each; (4) the format and process by which this information should be disseminated; (5) developing definitions for existing terms referenced in current laws, regulations, or guidance documents that would need to be modernized to align with the identified new term; and (6) providing safeguards to prevent this information from reaching unintended entities. Forum participants selected "preapproval information exchange" (PIE) as the correct term to describe this proposed new communication process and to be inclusive of data from pivotal phase III clinical trials, pharmaco-economic data, and patient-reported outcomes, as well as other relevant items, including anticipated indications, place in therapy, and routes of administration. Stakeholders agreed that PIE should be truthful, non-misleading, and include a broad range of information to meet the needs of population health decision makers and health care technology evolution. Recipients of PIE would be limited to population health decision makers who need this information for coverage decisions. The format and process for PIE disseminated should allow for a bidirectional exchange between manufacturers and population health decision makers but should not be proscribed in legislation. Furthermore, new legislative language may be beneficial, since PIE is a novel category of information. New legislation could provide a safe harbor and clarity that PIE does not violate preapproval promotion and the Federal Food, Drug, and Cosmetic Act and its regulations. The AMCP Partnership Forum on Enabling the Exchange of Clinical and Economic Data Pre-FDA Approval and the development of this proceedings document were supported by AbbVie, Boehringer Ingelheim Pharmaceuticals, Bristol-Myers Squibb, Celgene, Intarcia Therapeutics, Eli Lilly and Company, GlaxoSmithKline, Merck, National Pharmaceutical Council, Novo Nordisk, Pfizer, Pharmaceutical Research and Manufacturers of America, Precision for Value, Sanofi, Takeda Pharmaceuticals, U.S.A., and Xcenda. All sponsors participated in the forum and in revising and approving the manuscript.

An Introspective Critique of Past, Present, and Future USGS Decision Support

NASA Astrophysics Data System (ADS)

Neff, B. P.; Pavlick, M.

2017-12-01

In response to increasing scrutiny of publicly funded science, the Water Mission Area of USGS is shifting its approach for informing decisions that affect the country. Historically, USGS has focused on providing sound science on cutting edge, societally relevant issues with the expectation that decision makers will take action on this information. In practice, scientists often do not understand or focus on the needs of decision makers and decision makers often cannot or do not utilize information produced by scientists. The Water Mission Area of USGS has recognized that it can better serve the taxpayer by delivering information more relevant to decision making in a form more conducive to its use. To this end, the Water Mission Area of USGS is seeking greater integration with the decision making process to better inform what information it produces. In addition, recognizing that the transfer of scientific knowledge to decision making is fundamentally a social process, USGS is embracing the use of social science to better inform how it delivers scientific information and facilitates its use. This study utilizes qualitative methods to document the evolution of decision support at USGS and provide a rationale for a shift in direction. Challenges to implementation are identified and collaborative opportunities to improve decision making are discussed.

Cognitive and emotional factors predicting decisional conflict among high-risk breast cancer survivors who receive uninformative BRCA1/2 results.

PubMed

Rini, Christine; O'Neill, Suzanne C; Valdimarsdottir, Heiddis; Goldsmith, Rachel E; Jandorf, Lina; Brown, Karen; DeMarco, Tiffani A; Peshkin, Beth N; Schwartz, Marc D

2009-09-01

To investigate high-risk breast cancer survivors' risk reduction decision making and decisional conflict after an uninformative BRCA1/2 test. Prospective, longitudinal study of 182 probands undergoing BRCA1/2 testing, with assessments 1-, 6-, and 12-months postdisclosure. Primary predictors were health beliefs and emotional responses to testing assessed 1-month postdisclosure. Main outcomes included women's perception of whether they had made a final risk management decision (decision status) and decisional conflict related to this issue. There were four patterns of decision making, depending on how long it took women to make a final decision and the stability of their decision status across assessments. Late decision makers and nondecision makers reported the highest decisional conflict; however, substantial numbers of women--even early and intermediate decision makers--reported elevated decisional conflict. Analyses predicting decisional conflict 1- and 12-months postdisclosure found that, after accounting for control variables and decision status, health beliefs and emotional factors predicted decisional conflict at different timepoints, with health beliefs more important 1 month after test disclosure and emotional factors more important 1 year later. Many of these women may benefit from decision making assistance. Copyright 2009 APA, all rights reserved.

The database search problem: a question of rational decision making.

PubMed

Gittelson, S; Biedermann, A; Bozza, S; Taroni, F

2012-10-10

This paper applies probability and decision theory in the graphical interface of an influence diagram to study the formal requirements of rationality which justify the individualization of a person found through a database search. The decision-theoretic part of the analysis studies the parameters that a rational decision maker would use to individualize the selected person. The modeling part (in the form of an influence diagram) clarifies the relationships between this decision and the ingredients that make up the database search problem, i.e., the results of the database search and the different pairs of propositions describing whether an individual is at the source of the crime stain. These analyses evaluate the desirability associated with the decision of 'individualizing' (and 'not individualizing'). They point out that this decision is a function of (i) the probability that the individual in question is, in fact, at the source of the crime stain (i.e., the state of nature), and (ii) the decision maker's preferences among the possible consequences of the decision (i.e., the decision maker's loss function). We discuss the relevance and argumentative implications of these insights with respect to recent comments in specialized literature, which suggest points of view that are opposed to the results of our study. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Distributed collaborative environments for virtual capability-based planning

NASA Astrophysics Data System (ADS)

McQuay, William K.

2003-09-01

Distributed collaboration is an emerging technology that will significantly change how decisions are made in the 21st century. Collaboration involves two or more geographically dispersed individuals working together to share and exchange data, information, knowledge, and actions. The marriage of information, collaboration, and simulation technologies provides the decision maker with a collaborative virtual environment for planning and decision support. This paper reviews research that is focusing on the applying open standards agent-based framework with integrated modeling and simulation to a new Air Force initiative in capability-based planning and the ability to implement it in a distributed virtual environment. Virtual Capability Planning effort will provide decision-quality knowledge for Air Force resource allocation and investment planning including examining proposed capabilities and cost of alternative approaches, the impact of technologies, identification of primary risk drivers, and creation of executable acquisition strategies. The transformed Air Force business processes are enabled by iterative use of constructive and virtual modeling, simulation, and analysis together with information technology. These tools are applied collaboratively via a technical framework by all the affected stakeholders - warfighter, laboratory, product center, logistics center, test center, and primary contractor.

The essential medicines list for a global patient population.

PubMed

Robertson, J; Hill, S R

2007-11-01

Thirty years after its inception, the role, audience, and contents of the global Essential Medicines List (EML) are reviewed. Challenges for decision makers in applying the principles of medicine selection based on efficacy, safety, burden of disease, and cost effectiveness are discussed and illustrated with recent decisions of the Expert Committee. Areas of controversy for decision makers are highlighted, and the advocacy role of the EML for both drug procurement and development of quality-assured products is described.

The Role of Information and Research in Educational Decision-Making: Some Questions. Le Role De L'Information Et De La Recherche Dans La Prise De Decisions En Matiere D'Education: Quelques Questions.

ERIC Educational Resources Information Center

United Nations Educational, Scientific, and Cultural Organization, Paris (France).

This paper, one of a series of Unesco technical information reports, looks at the educational decision makers in developing nations and examines their access to and use of information and research results. Written in English and in French, the paper consists of five parts. Part one discusses problems encountered by educational policy-makers and…

Finding common ground to achieve a "good death": family physicians working with substitute decision-makers of dying patients. A qualitative grounded theory study.

PubMed

Tan, Amy; Manca, Donna

2013-01-22

Substitute decision-makers are integral to the care of dying patients and make many healthcare decisions for patients. Unfortunately, conflict between physicians and surrogate decision-makers is not uncommon in end-of-life care and this could contribute to a "bad death" experience for the patient and family. We aim to describe Canadian family physicians' experiences of conflict with substitute decision-makers of dying patients to identify factors that may facilitate or hinder the end-of-life decision-making process. This insight will help determine how to best manage these complex situations, ultimately improving the overall care of dying patients. Grounded Theory methodology was used with semi-structured interviews of family physicians in Edmonton, Canada, who experienced conflict with substitute decision-makers of dying patients. Purposeful sampling included maximum variation and theoretical sampling strategies. Interviews were audio-taped, and transcribed verbatim. Transcripts, field notes and memos were coded using the constant-comparative method to identify key concepts until saturation was achieved and a theoretical framework emerged. Eleven family physicians with a range of 3 to 40 years in clinical practice participated.The family physicians expressed a desire to achieve a "good death" and described their role in positively influencing the experience of death.Finding Common Ground to Achieve a "Good Death" for the Patient emerged as an important process which includes 1) Building Mutual Trust and Rapport through identifying key players and delivering manageable amounts of information, 2) Understanding One Another through active listening and ultimately, and 3) Making Informed, Shared Decisions. Facilitators and barriers to achieving Common Ground were identified. Barriers were linked to conflict. The inability to resolve an overt conflict may lead to an impasse at any point. A process for Resolving an Impasse is described. A novel framework for developing Common Ground to manage conflicts during end-of-life decision-making discussions may assist in achieving a "good death". These results could aid in educating physicians, learners, and the public on how to achieve productive collaborative relationships during end-of-life decision-making for dying patients, and ultimately improve their deaths.

Neural basis of quasi-rational decision making.

PubMed

Lee, Daeyeol

2006-04-01

Standard economic theories conceive homo economicus as a rational decision maker capable of maximizing utility. In reality, however, people tend to approximate optimal decision-making strategies through a collection of heuristic routines. Some of these routines are driven by emotional processes, and others are adjusted iteratively through experience. In addition, routines specialized for social decision making, such as inference about the mental states of other decision makers, might share their origins and neural mechanisms with the ability to simulate or imagine outcomes expected from alternative actions that an individual can take. A recent surge of collaborations across economics, psychology and neuroscience has provided new insights into how such multiple elements of decision making interact in the brain.

Adopting Cut Scores: Post-Standard-Setting Panel Considerations for Decision Makers

ERIC Educational Resources Information Center

Geisinger, Kurt F.; McCormick, Carina M.

2010-01-01

Standard-setting studies utilizing procedures such as the Bookmark or Angoff methods are just one component of the complete standard-setting process. Decision makers ultimately must determine what they believe to be the most appropriate standard or cut score to use, employing the input of the standard-setting panelists as one piece of information…

Reciprocal Dialogue between Educational Decision Makers and Students of Color: Opportunities and Obstacles

ERIC Educational Resources Information Center

Bertrand, Melanie

2014-01-01

Purpose: This article explores the possibilities for reciprocal dialogue between educational decision makers and Students of Color. Such dialogue--defined as interactions in which participants build on each other's words--may provide the means to develop creative ways to address manifestations of systemic racism in education. The article uses…

Monitoring Values and Practices of Oak Woodland Decision Makers on the Urban Fringe

Treesearch

William Stewart

1991-01-01

Concern over oak woodlands has shifted away from ranch management towards residential areas. This shift has been accompanied by the involvement of decision makers who previously had little involvement with rangeland policies and practices. A survey of three recent Cooperative Extension workshops illustrates a number of important patterns regarding interest and...

Decision Maker Perception of Information Quality: A Case Study of Military Command and Control

ERIC Educational Resources Information Center

Morgan, Grayson B.

2013-01-01

Decision maker perception of information quality cues from an "information system" (IS) and the process which creates such meta cueing, or data about cues, is a critical yet un-modeled component of "situation awareness" (SA). Examples of common information quality meta cueing for quality criteria include custom ring-tones for…

Investigation of Education Databases in Four States To Support Policy Research on Resource Allocation. Policy Report

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…

Educational Marketing: A Business Approach to School-Community Relations.

ERIC Educational Resources Information Center

Holcomb, John H.

Public education suffers from a lack of public confidence. Strategies that public school decision-makers can use to turn around public opinion is the focus of this book. Decision-makers should use some of the marketing techniques learned from the private sector to "sell" the schools to the client system (the citizens being asked to support…

Assessment of Education for Sustainable Development in Universities in Costa Rica: Implications for Latin America and the Caribbean

ERIC Educational Resources Information Center

Garcia, Jairo H.

2010-01-01

Higher Education is a key factor for social change influencing future decision-makers in business, education, politics and science. As such, sustainable development requires creating awareness amongst these decision-makers of their responsibilities and opportunities in this area. Higher education for sustainable development is championed in…

Attention and attribute overlap in preferential choice.

PubMed

Bhatia, Sudeep

2017-07-01

Attributes that are common, or overlapping, across alternatives in two-alternative forced preferential choice tasks are often non-diagnostic. In many settings, attending to and evaluating these attributes does not help the decision maker determine which of the available alternatives is the most desirable. For this reason, many existing behavioural theories propose that decision makers ignore common attributes while deliberating. Across six experiments, we find that decision makers do direct their attention selectively and ignore attributes that are not present in or associated with either of the available alternatives. However, they are as likely to attend to common attributes as they are to attend to attributes that are unique to a single alternative. These results suggest the need for novel theories of attention in preferential choice.

Licensing Surrogate Decision-Makers.

PubMed

Rosoff, Philip M

2017-06-01

As medical technology continues to improve, more people will live longer lives with multiple chronic illnesses with increasing cumulative debilitation, including cognitive dysfunction. Combined with the aging of society in most developed countries, an ever-growing number of patients will require surrogate decision-makers. While advance care planning by patients still capable of expressing their preferences about medical interventions and end-of-life care can improve the quality and accuracy of surrogate decisions, this is often not the case, not infrequently leading to demands for ineffective, inappropriate and prolonged interventions. In 1980 LaFollette called for the licensing of prospective parents, basing his argument on the harm they can do to vulnerable people (children). In this paper, I apply his arguments to surrogate decision-makers for cognitively incapacitated patients, rhetorically suggesting that we require potential surrogates to qualify for this position by demonstrating their ability to make reasonable and rational decisions for others. I employ this theoretical approach to argue that the loose criteria by which we authorize surrogates' generally unchallenged power should be reconsidered.

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.

PubMed

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.

Prioritization of engineering support requests and advanced technology projects using decision support and industrial engineering models

NASA Technical Reports Server (NTRS)

Tavana, Madjid

1995-01-01

The evaluation and prioritization of Engineering Support Requests (ESR's) is a particularly difficult task at the Kennedy Space Center (KSC) -- Shuttle Project Engineering Office. This difficulty is due to the complexities inherent in the evaluation process and the lack of structured information. The evaluation process must consider a multitude of relevant pieces of information concerning Safety, Supportability, O&M Cost Savings, Process Enhancement, Reliability, and Implementation. Various analytical and normative models developed over the past have helped decision makers at KSC utilize large volumes of information in the evaluation of ESR's. The purpose of this project is to build on the existing methodologies and develop a multiple criteria decision support system that captures the decision maker's beliefs through a series of sequential, rational, and analytical processes. The model utilizes the Analytic Hierarchy Process (AHP), subjective probabilities, the entropy concept, and Maximize Agreement Heuristic (MAH) to enhance the decision maker's intuition in evaluating a set of ESR's.

Design for sustainability of industrial symbiosis based on emergy and multi-objective particle swarm optimization.

PubMed

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.

Applying a Data Stewardship Maturity Matrix to the NOAA Observing System Portfolio Integrated Assessment Process

NASA Astrophysics Data System (ADS)

Peng, G.; Austin, M.

2017-12-01

Identification and prioritization of targeted user community needs are not always considered until after data has been created and archived. Gaps in data curation and documentation in the data production and delivery phases limit data's broad utility specifically for decision makers. Expert understanding and knowledge of a particular dataset is often required as a part of the data and metadata curation process to establish the credibility of the data and support informed decision-making. To enhance curation practices, content from NOAA's Observing System Integrated Assessment (NOSIA) Value Tree, NOAA's Data Catalog/Digital Object Identifier (DOI) projects (collection-level metadata) have been integrated with Data/Stewardship Maturity Matrices (data and stewardship quality information) focused on assessment of user community needs. This results in user focused evidence based decision making tools created by NOAA's National Environmental Satellite, Data, and Information Service (NESDIS) through identification and assessment of data content gaps related to scientific knowledge and application to key areas of societal benefit. Through enabling user need feedback from the beginning of data creation through archive allows users to determine the quality and value of data that is fit for purpose. Data gap assessment and prioritization are presented in a user-friendly way using the data stewardship maturity matrices as measurement of data management quality. These decision maker tools encourages data producers and data providers/stewards to consider users' needs prior to data creation and dissemination resulting in user driven data requirements increasing return on investment. A use case focused on need for NOAA observations linked societal benefit will be used to demonstrate the value of these tools.

Increasing the scale and adoption of population health interventions: experiences and perspectives of policy makers, practitioners, and researchers

PubMed Central

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

Social Priorities as Data

NASA Astrophysics Data System (ADS)

Grubert, E.

2015-12-01

Decision makers' responses to local risks and expected changes to a community from circumstances like natural hazards, human developments, and demographic changes can greatly affect social and environmental outcomes in a community. Translating physical data based in disciplines like engineering and geosciences into positive outcomes for communities can be challenging and often results in conflict that appears to pit "science" against "the public." Scientists can be reluctant to offer recommendations for action based on their work, often (and often correctly) noting that their role is not to make value judgments for a community - particularly for a community that is not their own. Conversely, decision makers can be frustrated by the lack of guidance they receive to help translate data into effective and acceptable action. The solution posed by this submission, given the goal of co-production of knowledge by scientists and decision makers to foster better community outcomes, is to involve the community directly by integrating social scientific methods that address decision making and community engagement to the scientist-decision maker interaction. Specifically, the missing dataset in many scientist-decision maker interactions is the nature of community priorities. Using scientifically valid methods to rigorously collect and characterize community priorities to help recommend tradeoffs between different outcomes indicated by the work of physical and natural scientists can bridge the gap between science and action by involving the community in the process. This submission presents early work on US preferences for different types of social and environmental outcomes designed to integrate directly with engineering and physical science frameworks like Life Cycle Assessment and Environmental Impact Statements. Cardinal preference data are based on surveys of US adults using tools like the Analytical Hierarchy Process, budget allocation, and ranking.

Focusing biodiversity research on the needs of decision makers

NASA Astrophysics Data System (ADS)

Smythe, Katie D.; Bernabo, J. Christopher; Carter, Thomas B.; Jutro, Peter R.

1996-11-01

The project on Biodiversity Uncertainties and Research Needs (BURN) ensures the advancement of usable knowledge on biodiversity by obtaining input from decision makers on their priority information needs about biodiversity and then using this input to engage leading scientists in designing policy-relevant research. Decision makers articulated concerns related to four issues: significance of biodiversity; status and trends of biodiversity; management for biodiversity; and the linkage of social, cultural, economic, legal, and biological objectives. Leading natural and social scientists then identified the research required to address the decision makers' needs and determined the probability of success. The diverse group of experts reached consensus on several fundamental issues, helping to clarify the role of biodiversity in land and resource management. The BURN participants identified several features that should be incorporated into policy-relevant research plans and management strategies for biodiversity. Research and assessment efforts should be: multidisciplinary and integrative, participatory with stakeholder involvement, hierarchical (multiple scales), and problem- and region-specific. The activities should be focused regionally within a global perspective. Meta-analysis of existing data is needed on all fronts to assess the state of the science. More specifically, the scientists recommended six priority research areas that should be pursued to address the information needs articulated by decision makers: (1) characterization of biodiversity, (2) environmental valuation, (3) management for sustainability—for humans and the environment (adaptive management), (4) information management strategies, (5) governance and stewardship issues, and (6) communication and outreach. Broad recommendations were developed for each research area to provide direction for research planning and resource management strategies. The results will directly benefit those groups that require biodiversity research to address their needs—whether to develop policy, manage natural resources, or make other decisions affecting biodiversity.

Sustaining Clinical Programs During Difficult Economic Times: A Case Series from the Hospital Elder Life Program

PubMed Central

SteelFisher, Gillian K.; Martin, Lauren A.; Dowal, Sarah L.; Inouye, Sharon K.

2013-01-01

OBJECTIVES To explore strategies used by clinical programs to justify operations to decision-makers using the example of the Hospital Elder Life Program (HELP), an evidence-based, cost-effective program to improve care for hospitalized older adults. DESIGN Qualitative study design utilizing 62 in-depth, semi-structured interviews conducted with HELP staff members and hospital administrators between September 2008 and August 2009. SETTING 19 HELP sites in hospitals across the U.S. and Canada that had been recruiting patients for at least 6 months. PARTICIPANTS and MEASUREMENTS HELP staff and hospital administrator experiences sustaining the program in the face of actual or perceived financial threats, with a focus on factors they believe are effective in justifying the program to decision-makers in the hospital or health system. RESULTS Using the constant comparative method, a standard qualitative analysis technique, three major themes were identified across interviews. Each focuses on a strategy for successfully justifying the program and securing funds for continued operations: 1) interact meaningfully with decision-makers, including formal presentations that showcase operational successes, and also informal means that highlight the benefits of HELP to the hospital or health system; 2) document day-to-day, operational successes in metrics that resonate with decision-maker priorities; and 3) garner support from influential hospital staff that feed into administrative decision-making, particularly nurses and physicians. CONCLUSION As clinical programs face financially challenging times, it is important to find effective ways to justify their operations to decision-makers. Strategies described here may help clinically-effective and cost-effective programs sustain themselves, and thus may help improve care in their institutions. PMID:22091501

Decision makers' experiences of prioritisation and views about how to finance healthcare costs.

PubMed

Werntoft, Elisabet; Edberg, Anna-Karin

2009-10-01

Prioritisation in healthcare is an issue of growing importance due to scarcity of resources. The aims of this study were firstly to describe decision makers' experience of prioritisation and their views concerning willingness to pay and how to finance healthcare costs. An additional aim was to compare the views of politicians and physicians. The study was a cross-sectional study based on a questionnaire administered to 700 Swedish politicians and physicians. This was analysed using both quantitative and qualitative methods. A majority of the decision makers (55%) suggested that increasing costs should be financed through higher taxation but more physicians than politicians thought that higher patient fees, private health insurance and a reduction in social expenditure were better alternatives. Prioritisation aroused anxiety; politicians were afraid of displeasing voters while physicians were afraid of making medically incorrect decisions. This study do not answer the question about how to make prioritisation in health care but the result highlights the different ways that the decision makers view the subject and thereby elicit that publicly elected politicians and physicians perhaps not always work with the same goal ahead. There are needs for more research but also more media focus on the subject so the citizens will be aware and take part in the debate.

An analytical framework to assist decision makers in the use of forest ecosystem model predictions

USGS Publications Warehouse

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.

Sustainability in Health care by Allocating Resources Effectively (SHARE) 8: developing, implementing and evaluating an evidence dissemination service in a local healthcare setting.

PubMed

Harris, Claire; Garrubba, Marie; Melder, Angela; Voutier, Catherine; Waller, Cara; King, Richard; Ramsey, Wayne

2018-03-02

This is the eighth in a series of papers reporting Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. The SHARE Program was a systematic, integrated, evidence-based program for disinvestment within a large Australian health service. One of the aims was to explore methods to deliver existing high quality synthesised evidence directly to decision-makers to drive decision-making proactively. An Evidence Dissemination Service (EDS) was proposed. While this was conceived as a method to identify disinvestment opportunities, it became clear that it could also be a way to review all practices for consistency with current evidence. This paper reports the development, implementation and evaluation of two models of an in-house EDS. Frameworks for development of complex interventions, implementation of evidence-based change, and evaluation and explication of processes and outcomes were adapted and/or applied. Mixed methods including a literature review, surveys, interviews, workshops, audits, document analysis and action research were used to capture barriers, enablers and local needs; identify effective strategies; develop and refine proposals; ascertain feedback and measure outcomes. Methods to identify, capture, classify, store, repackage, disseminate and facilitate use of synthesised research evidence were investigated. In Model 1, emails containing links to multiple publications were sent to all self-selected participants who were asked to determine whether they were the relevant decision-maker for any of the topics presented, whether change was required, and to take the relevant action. This voluntary framework did not achieve the aim of ensuring practice was consistent with current evidence. In Model 2, the need for change was established prior to dissemination, then a summary of the evidence was sent to the decision-maker responsible for practice in the relevant area who was required to take appropriate action and report the outcome. This mandatory governance framework was successful. The factors influencing decisions, processes and outcomes were identified. An in-house EDS holds promise as a method of identifying disinvestment opportunities and/or reviewing local practice for consistency with current evidence. The resource-intensive nature of delivery of the EDS is a potential barrier. The findings from this study will inform further exploration.

Development of a support tool for complex decision-making in the provision of rural maternity care.

PubMed

Hearns, Glen; Klein, Michael C; Trousdale, William; Ulrich, Catherine; Butcher, David; Miewald, Christiana; Lindstrom, Ronald; Eftekhary, Sahba; Rosinski, Jessica; Gómez-Ramírez, Oralia; Procyk, Andrea

2010-02-01

Decisions in the organization of safe and effective rural maternity care are complex, difficult, value laden and fraught with uncertainty, and must often be based on imperfect information. Decision analysis offers tools for addressing these complexities in order to help decision-makers determine the best use of resources and to appreciate the downstream effects of their decisions. To develop a maternity care decision-making tool for the British Columbia Northern Health Authority (NH) for use in low birth volume settings. Based on interviews with community members, providers, recipients and decision-makers, and employing a formal decision analysis approach, we sought to clarify the influences affecting rural maternity care and develop a process to generate a set of value-focused objectives for use in designing and evaluating rural maternity care alternatives. Four low-volume communities with variable resources (with and without on-site births, with or without caesarean section capability) were chosen. Physicians (20), nurses (18), midwives and maternity support service providers (4), local business leaders, economic development officials and elected officials (12), First Nations (women [pregnant and non-pregnant], chiefs and band members) (40), social workers (3), pregnant women (2) and NH decision-makers/administrators (17). We developed a Decision Support Manual to assist with assessing community needs and values, context for decision-making, capacity of the health authority or healthcare providers, identification of key objectives for decision-making, developing alternatives for care, and a process for making trade-offs and balancing multiple objectives. The manual was deemed an effective tool for the purpose by the client, NH. Beyond assisting the decision-making process itself, the methodology provides a transparent communication tool to assist in making difficult decisions. While the manual was specifically intended to deal with rural maternity issues, the NH decision-makers feel the method can be easily adapted to assist decision-making in other contexts in medicine where there are conflicting objectives, values and opinions. Decisions on the location of new facilities or infrastructure, or enhancing or altering services such as surgical or palliative care, would be examples of complex decisions that might benefit from this methodology.

Development of a Support Tool for Complex Decision-Making in the Provision of Rural Maternity Care

PubMed Central

Hearns, Glen; Klein, Michael C.; Trousdale, William; Ulrich, Catherine; Butcher, David; Miewald, Christiana; Lindstrom, Ronald; Eftekhary, Sahba; Rosinski, Jessica; Gómez-Ramírez, Oralia; Procyk, Andrea

2010-01-01

Context: Decisions in the organization of safe and effective rural maternity care are complex, difficult, value laden and fraught with uncertainty, and must often be based on imperfect information. Decision analysis offers tools for addressing these complexities in order to help decision-makers determine the best use of resources and to appreciate the downstream effects of their decisions. Objective: To develop a maternity care decision-making tool for the British Columbia Northern Health Authority (NH) for use in low birth volume settings. Design: Based on interviews with community members, providers, recipients and decision-makers, and employing a formal decision analysis approach, we sought to clarify the influences affecting rural maternity care and develop a process to generate a set of value-focused objectives for use in designing and evaluating rural maternity care alternatives. Setting: Four low-volume communities with variable resources (with and without on-site births, with or without caesarean section capability) were chosen. Participants: Physicians (20), nurses (18), midwives and maternity support service providers (4), local business leaders, economic development officials and elected officials (12), First Nations (women [pregnant and non-pregnant], chiefs and band members) (40), social workers (3), pregnant women (2) and NH decision-makers/administrators (17). Results: We developed a Decision Support Manual to assist with assessing community needs and values, context for decision-making, capacity of the health authority or healthcare providers, identification of key objectives for decision-making, developing alternatives for care, and a process for making trade-offs and balancing multiple objectives. The manual was deemed an effective tool for the purpose by the client, NH. Conclusions: Beyond assisting the decision-making process itself, the methodology provides a transparent communication tool to assist in making difficult decisions. While the manual was specifically intended to deal with rural maternity issues, the NH decision-makers feel the method can be easily adapted to assist decision-making in other contexts in medicine where there are conflicting objectives, values and opinions. Decisions on the location of new facilities or infrastructure, or enhancing or altering services such as surgical or palliative care, would be examples of complex decisions that might benefit from this methodology. PMID:21286270

Health technology assessment in Saudi Arabia.

PubMed

Al-Aqeel, Sinaa

2018-05-16

The Saudi government, similar to any other government, is committed to making public spending more efficient, using resources more effectively, and limiting waste. Health technology assessment (HTA) is a tool that informs policy and decision makers regarding the formulation of safe and effective policies that are patient-focused and help to achieve efficiency when allocating limited health-care resources. Areas covered: After a brief description of HTA in the international context, this review provides a brief introduction to Saudi Arabia's health-care system, followed by a delineation of the decision maker(s) and influencers and the decision-making process for pricing and reimbursement. The article then discusses the current status of HTA in Saudi Arabia and proposes four strategic objectives that can form the first step in the development of a formal HTA process. Expert commentary: In Saudi Arabia, facilitators for incorporating HTA into the decision-making process exist. Future local research is needed to guide the implementation of full HTA.

A multiattribute index for assessing environmental impacts of regional development projects: a case study of Korea.

PubMed

Kwak, Seung-Jun; Yoo, Seung-Hoon; Shin, Chol-Oh

2002-02-01

Evaluating environmental impacts has become an increasingly vital part of environmental management. In the present study, a methodological procedure based on multiattribute utility theory (MAUT) has been applied to obtain a decision-maker's value index on assessment of the environmental impacts. The paper begins with an overview of MAUT. Next, we elicited strategic objectives and several important attributes, and then structured them into a hierarchy, with the aim of structuring and quantifying the basic values for the assessment. An environmental multiattribute index is constructed as a multiattribute utility function, based on value judgements provided by a decision-maker at the Korean Ministry of Environment (MOE). The implications of the results are useful for many aspects of MOE's environmental policies; identifying the strategic objectives and basic values; facilitating communication about the organization's priorities; and recognizing decision opportunities that face decision-makers of Korea.

The optimal retailer's ordering policies with trade credit financing and limited storage capacity in the supply chain system

NASA Astrophysics Data System (ADS)

Yen, Ghi-Feng; Chung, Kun-Jen; Chen, Tzung-Ching

2012-11-01

The traditional economic order quantity model assumes that the retailer's storage capacity is unlimited. However, as we all know, the capacity of any warehouse is limited. In practice, there usually exist various factors that induce the decision-maker of the inventory system to order more items than can be held in his/her own warehouse. Therefore, for the decision-maker, it is very practical to determine whether or not to rent other warehouses. In this article, we try to incorporate two levels of trade credit and two separate warehouses (own warehouse and rented warehouse) to establish a new inventory model to help the decision-maker to make the decision. Four theorems are provided to determine the optimal cycle time to generalise some existing articles. Finally, the sensitivity analysis is executed to investigate the effects of the various parameters on ordering policies and annual costs of the inventory system.

Answer or Publish - Energizing Online Democracy

NASA Astrophysics Data System (ADS)

Antal, Miklós; Mikecz, Dániel

Enhanced communication between citizens and decision makers furthering participation in public decision making is essential to ease today's democratic deficit. However, it is difficult to sort out the most important public inputs from a large number of comments and questions. We propose an online solution to the selection problem by utilizing the general publicity of the internet. In the envisioned practice, decision makers are obliged either to answer citizens' questions or initiatives or to publish the letter received on a publicly accessible web page. The list of unaddressed questions would mean a motivation to consider public inputs without putting unnecessary burdens on decision makers - due to the reliance on the public, their workload would converge to the societal optimum. The proposed method is analyzed in the course of the existing Hungarian e-practices. The idea is found valuable as a restriction for representatives and a relief for some other officials.

Health services research: building capacity to meet the needs of the health care system

PubMed Central

Barratt, Helen; Shaw, Jay; Simpson, Lisa; Bhatia, Sacha; Fulop, Naomi

2017-01-01

Health services researchers have an important role to play in helping health care systems around the world provide high quality, affordable services. However, gaps between the best evidence and current practice suggest that researchers need to work in new ways. The production of research that meets the needs and priorities of the health system requires researchers to work in partnership with decision-makers to conduct research and then mobilize the findings. To do this effectively, researchers require a new set of skills that are not conventionally taught as part of doctoral research programmes. In addition to wider contextual changes, researchers need to understand better the needs of decision-makers, for example through short placements in health system decision-making settings. Second, researchers need to learn to accommodate those needs throughout the research process, including identifying research needs; conducting research collaboratively with decision-makers and producing effective research products. PMID:28786700

Scientific second-order 'nudging' or lobbying by interest groups: the battle over abdominal aortic aneurysm screening programmes.

PubMed

Ploug, Thomas; Holm, Søren; Brodersen, John

2014-11-01

The idea that it is acceptable to 'nudge' people to opt for the 'healthy choice' is gaining currency in health care policy circles. This article investigates whether researchers evaluating Abdominal Aortic Aneurysm Screening Programmes (AAASP) attempt to influence decision makers in ways that are similar to popular 'nudging' techniques. Comparing two papers on the health economics of AAASP both published in the BMJ within the last 3 years, it is shown that the values chosen for the health economics modelling are not representative of the literature and consistently favour the conclusions of the articles. It is argued (1) that this and other features of these articles may be justified within a Libertarian Paternalist framework as 'nudging' like ways of influencing decision makers, but also (2) that these ways of influencing decision makers raise significant ethical issues in the context of democratic decision making.

Foundations for context-aware information retrieval for proactive decision support

NASA Astrophysics Data System (ADS)

Mittu, Ranjeev; Lin, Jessica; Li, Qingzhe; Gao, Yifeng; Rangwala, Huzefa; Shargo, Peter; Robinson, Joshua; Rose, Carolyn; Tunison, Paul; Turek, Matt; Thomas, Stephen; Hanselman, Phil

2016-05-01

Intelligence analysts and military decision makers are faced with an onslaught of information. From the now ubiquitous presence of intelligence, surveillance, and reconnaissance (ISR) platforms providing large volumes of sensor data, to vast amounts of open source data in the form of news reports, blog postings, or social media postings, the amount of information available to a modern decision maker is staggering. Whether tasked with leading a military campaign or providing support for a humanitarian mission, being able to make sense of all the information available is a challenge. Due to the volume and velocity of this data, automated tools are required to help support reasoned, human decisions. In this paper we describe several automated techniques that are targeted at supporting decision making. Our approaches include modeling the kinematics of moving targets as motifs; developing normalcy models and detecting anomalies in kinematic data; automatically classifying the roles of users in social media; and modeling geo-spatial regions based on the behavior that takes place in them. These techniques cover a wide-range of potential decision maker needs.

Computational Complexity and Human Decision-Making.

PubMed

Bossaerts, Peter; Murawski, Carsten

2017-12-01

The rationality principle postulates that decision-makers always choose the best action available to them. It underlies most modern theories of decision-making. The principle does not take into account the difficulty of finding the best option. Here, we propose that computational complexity theory (CCT) provides a framework for defining and quantifying the difficulty of decisions. We review evidence showing that human decision-making is affected by computational complexity. Building on this evidence, we argue that most models of decision-making, and metacognition, are intractable from a computational perspective. To be plausible, future theories of decision-making will need to take into account both the resources required for implementing the computations implied by the theory, and the resource constraints imposed on the decision-maker by biology. Copyright © 2017 Elsevier Ltd. All rights reserved.

Anchor effects in decision making can be reduced by the interaction between goal monitoring and the level of the decision maker's executive functions.

PubMed

Schiebener, Johannes; Wegmann, Elisa; Pawlikowski, Mirko; Brand, Matthias

2012-11-01

Models of decision making postulate that interactions between contextual conditions and characteristics of the decision maker determine decision-making performance. We tested this assumption by using a possible positive contextual influence (goals) and a possible negative contextual influence (anchor) in a risky decision-making task (Game of Dice Task, GDT). In this task, making advantageous choices is well known to be closely related to a specific decision maker variable: the individual level of executive functions. One hundred subjects played the GDT in one of four conditions: with self-set goal for final balance (n = 25), with presentation of an anchor (a fictitious Top 10 list, showing high gains of other participants; n = 25), with anchor and goal definition (n = 25), and with neither anchor nor goal setting (n = 25). Subjects in the conditions with anchor made more risky decisions irrespective of the negative feedback, but this anchor effect was influenced by goal monitoring and moderated by the level of the subjects' executive functions. The findings imply that impacts of situational influences on decision making as they frequently occur in real life depend upon the individual's cognitive abilities. Anchor effects can be overcome by subjects with good cognitive abilities.

Sustainability in health care by allocating resources effectively (SHARE) 3: examining how resource allocation decisions are made, implemented and evaluated in a local healthcare setting.

PubMed

Harris, Claire; Allen, Kelly; Waller, Cara; Brooke, Vanessa

2017-05-09

This is the third in a series of papers reporting a program of Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. Leaders in a large Australian health service planned to establish an organisation-wide, systematic, integrated, evidence-based approach to disinvestment. In order to introduce new systems and processes for disinvestment into existing decision-making infrastructure, we aimed to understand where, how and by whom resource allocation decisions were made, implemented and evaluated. We also sought the knowledge and experience of staff regarding previous disinvestment activities. Structured interviews, workshops and document analysis were used to collect information from multiple sources in an environmental scan of decision-making systems and processes. Findings were synthesised using a theoretical framework. Sixty-eight respondents participated in interviews and workshops. Eight components in the process of resource allocation were identified: Governance, Administration, Stakeholder engagement, Resources, Decision-making, Implementation, Evaluation and, where appropriate, Reinvestment of savings. Elements of structure and practice for each component are described and a new framework was developed to capture the relationships between them. A range of decision-makers, decision-making settings, type and scope of decisions, criteria used, and strengths, weaknesses, barriers and enablers are outlined. The term 'disinvestment' was not used in health service decision-making. Previous projects that involved removal, reduction or restriction of current practices were driven by quality and safety issues, evidence-based practice or a need to find resource savings and not by initiatives where the primary aim was to disinvest. Measuring resource savings is difficult, in some situations impossible. Savings are often only theoretical as resources released may be utilised immediately by patients waiting for beds, clinic appointments or surgery. Decision-making systems and processes for resource allocation are more complex than assumed in previous studies. There is a wide range of decision-makers, settings, scope and type of decisions, and criteria used for allocating resources within a single institution. To our knowledge, this is the first paper to report this level of detail and to introduce eight components of the resource allocation process identified within a local health service.

Relational autonomy: moving beyond the limits of isolated individualism.

PubMed

Walter, Jennifer K; Ross, Lainie Friedman

2014-02-01

Although clinicians may value respecting a patient's or surrogate's autonomy in decision-making, it is not always clear how to proceed in clinical practice. The confusion results, in part, from which conception of autonomy is used to guide ethical practice. Reliance on an individualistic conception such as the "in-control agent" model prioritizes self-sufficiency in decision-making and highlights a decision-maker's capacity to have reason transcend one's emotional experience. An alternative model of autonomy, relational autonomy, highlights the social context within which all individuals exist and acknowledges the emotional and embodied aspects of decision-makers. These 2 conceptions of autonomy lead to different interpretations of several aspects of ethical decision-making. The in-control agent model believes patients or surrogates should avoid both the influence of others and emotional persuasion in decision-making. As a result, providers have a limited role to play and are expected to provide medical expertise but not interfere with the individual's decision-making process. In contrast, a relational autonomy approach acknowledges the central role of others in decision-making, including clinicians, who have a responsibility to engage patients' and surrogates' emotional experiences and offer clear guidance when patients are confronting serious illness. In the pediatric setting, in which decision-making is complicated by having a surrogate decision-maker in addition to a patient, these conceptions of autonomy also may influence expectations about the role that adolescents can play in decision-making.

The Insertion of Human Factors Concerns into NextGen Programmatic Decisions

NASA Technical Reports Server (NTRS)

Beard, Bettina L.; Holbrook, Jon Brian; Seely, Rachel

2013-01-01

Since the costs of proposed improvements in air traffic management exceed available funding, FAA decision makers must select and prioritize what actually gets implemented. We discuss a set of methods to help forecast operational and human performance issues and benefits before new automation is introduced. This strategy could minimize the impact of politics, assist decision makers in selecting and prioritizing potential improvements, make the process more transparent and strengthen the link between the engineering and human factors domains.

E-mail as the Appropriate Method of Communication for the Decision-Maker When Soliciting Advice for an Intellective Decision Task.

PubMed

Prahl, Andrew; Dexter, Franklin; Swol, Lyn Van; Braun, Michael T; Epstein, Richard H

2015-09-01

For many problems in operating room and anesthesia group management, there are tasks with optimal decisions, and yet experienced personnel tend to make decisions that are worse or no better than random chance. Such decisions include staff scheduling, case scheduling, moving cases among operating rooms, and choosing patient arrival times. In such settings, operating room management leadership decision-making should typically be autocratic rather than participative. Autocratic-style decision-making calls for managers to solicit and consider feedback from stakeholders in the decision outcome but to make the decision themselves using their expert knowledge and the facts received. For this to be effective, often the manager will obtain expert advice from outside the organization (e.g., health system). In this narrative review, we evaluate the advantages and disadvantages of using prompt asynchronous written communication (i.e., e-mail) as a communication channel for such interaction between a decision-maker (manager) and advisor. A detailed Appendix (Supplemental Digital Content, http://links.lww.com/AA/B72) lists each observational and experimental result. We find that the current ubiquitous role of e-mail for such communication is appropriate. Its benefits include improved time management via asynchronicity, low cognitive load (e.g., relative to Web conferencing), the ability to hide undesirable and irrelevant cues (e.g., physical appearance), the appropriateness of adding desirable cues (e.g., titles and degrees), the opportunity to provide written expression of confidence, and the ability for the advisor to demonstrate the answer for the decision-maker. Given that the manager is e-mailing an advisor whose competence the manager trusts, it is unnecessary to use a richer communication channel to develop trust. Finally, many of the limitations of e-mail can be rectified through training. We expect that decades from now, e-mail (i.e., asynchronous writing) between an expert and decision-maker will remain the dominant means of communication for intellective tasks.

Post Cold War transformation of the medical function in support of the deployed soldier.

PubMed

Vekerdi, Zoltan

2013-12-01

This article summarises the changes that resulted in, and still act towards, final implementation of a separate medical function in operational medical support. This article is not intended to represent an historical account, but to provide concise supplemental material for decision makers to position medical under the commander, which enables medical staff to support and care for the troops and which can be used in the best possible way as an image forming factor for the force. The aim of this article is to clearly articulate the necessity for independence of the medical and logistic functions, while recognising the need for continued close coordination.

Monitoring floods and fires during the summer of 2011--The value of the Landsat satellite 40-year archives

USGS Publications Warehouse

Jonescheit, Linda

2012-01-01

The summer of 2011 proved to be a season of extreme events. Heavy snowfall in the western mountains and excessive spring rains caused flooding along the Missouri and Mississippi Rivers; whereas extended dry conditions enabled fires to rage out of control from Alaska and Canada, south to Texas, Arizona, New Mexico, Georgia, and Mexico. The Landsat archive holds nearly 40 years of continuous global earth observation data. Landsat data are used by emergency responders to monitor change and damage caused by natural and man-made disasters. Decision makers rely on Landsat as they create plans for future environmental concerns.

Schedule Risks Due to Delays in Advanced Technology Development

NASA Technical Reports Server (NTRS)

Reeves, John D. Jr.; Kayat, Kamal A.; Lim, Evan

2008-01-01

This paper discusses a methodology and modeling capability that probabilistically evaluates the likelihood and impacts of delays in advanced technology development prior to the start of design, development, test, and evaluation (DDT&E) of complex space systems. The challenges of understanding and modeling advanced technology development considerations are first outlined, followed by a discussion of the problem in the context of lunar surface architecture analysis. The current and planned methodologies to address the problem are then presented along with sample analyses and results. The methodology discussed herein provides decision-makers a thorough understanding of the schedule impacts resulting from the inclusion of various enabling advanced technology assumptions within system design.

Taking risks and taking advice: The role of experience in airline pilot diversions

NASA Technical Reports Server (NTRS)

Cohen, Marvin S.

1993-01-01

The research asks how pilots make diversion decisions, what factors determine whether they are make well or poorly, and how they may be improved. The results support the view that experienced decision makers may solve problems in a way that is qualitatively different from the approaches of less experienced decision makers. The results also support a concept of expertise that goes beyond a stock of specialized recognitional templates, to include domain-specific methods for processing information. Such metacognitive skills evolve through long experience. They may enhance both the accuracy and the efficiency of decision processes.

Providing Climate Policy Makers With a Strong Scientific Base (Invited)

NASA Astrophysics Data System (ADS)

Struzik, E.

2009-12-01

Scientists can and should inform public policy decisions in the Arctic. But the pace of climate change in the polar world has been occurring far more quickly than most scientists have been able to predict. This creates problems for decision-makers who recognize that difficult management decisions have to be made in matters pertaining to wildlife management, cultural integrity and economic development. With sea ice melting, glaciers receding, permafrost thawing, forest fires intensifying, and disease and invasive species rapidly moving north, the challenge for scientists to provide climate policy makers with a strong scientific base has been daunting. Clashing as this data sometimes does with the “traditional knowledge” of indigenous peoples in the north, it can also become very political. As a result the need to effectively communicate complex data is more imperative now than ever before. Here, the author describes how the work of scientists can often be misinterpreted or exploited in ways that were not intended. Examples include the inappropriate use of scientific data in decision-making on polar bears, caribou and other wildlife populations; the use of scientific data to debunk the fact that greenhouse gases are driving climate change, and the use of scientific data to position one scientist against another when there is no inherent conflict. This work will highlight the need for climate policy makers to increase support for scientists working in the Arctic, as well as illustrate why it is important to find new and more effective ways of communicating scientific data. Strategies that might be considered by granting agencies, scientists and climate policy decision-makers will also be discussed.

Youth advocacy as a tool for environmental and policy changes that support physical activity and nutrition: an evaluation study in San Diego County.

PubMed

Linton, Leslie S; Edwards, Christine C; Woodruff, Susan I; Millstein, Rachel A; Moder, Cheryl

2014-03-27

As evidence grows about the benefits of policy and environmental changes to support active living and healthy eating, effective tools for implementing change must be developed. Youth advocacy, a successful strategy in the field of tobacco control, should be evaluated for its potential in the field of obesity prevention. San Diego State University collaborated with the San Diego County Childhood Obesity Initiative to evaluate Youth Engagement and Action for Health! (YEAH!), a youth advocacy project to engage youth and adult mentors in advocating for neighborhood improvements in physical activity and healthy eating opportunities. Study objectives included documenting group process and success of groups in engaging in community advocacy with decision makers. In 2011 and 2012, YEAH! group leaders were recruited from the San Diego County Childhood Obesity Initiative's half-day train-the-trainer seminars for adult leaders. Evaluators collected baseline and postproject survey data from youth participants and adult group leaders and interviewed decision makers. Of the 21 groups formed, 20 completed the evaluation, conducted community assessments, and advocated with decision makers. Various types of decision makers were engaged, including school principals, food service personnel, city council members, and parks and recreation officials. Eleven groups reported change(s) implemented as a result of their advocacy, 4 groups reported changes pending, and 5 groups reported no change as a result of their efforts. Even a brief training session, paired with a practical manual, technical assistance, and commitment of adult leaders and youth may successfully engage decision makers and, ultimately, bring about change.

From science to decision-making: taking the risk to communicate on risks

NASA Astrophysics Data System (ADS)

Leroi, Eric

2015-04-01

Geoscientists and decision-makers have the same responsibility toward the society: reducing the damaging consequences induced by natural phenomena. They have to work together, geoscientists to improve the knowledge and decision-makers to take the "best" decision, both to design and implement balanced solutions, both to communicate. Feedback shows that if the collaboration between them has already improved, a lot has still to be done, especially in terms of communication; endless litany, geoscientists don't communicate in the right way! In a hyperspecialized technological and segmented society with sophisticated methods of communication, geoscientists don't use appropriate tools and terminology. It's true, and a lot of examples can be shown that highlight this! Risks is based on complex concepts, on notions that are poorly understood, even by scientists themselves, especially the concepts of probability and occurrence of phenomena. But the problem rest as well on the role and on the responsibility of the geoscientists. Risk management experts address geosciences and technology to identify problems and define protection, including prohibitive measures (such as not allowing building in hazardous areas). Policy makers and local planners want to know where to develop territories. On one hand the identification of problems, on the other hand the needs of solutions. Dialectic is not the same. When responsibility, money and image are the three main pillars of decision-making, long-term modeling and uncertainty, are the basic ones for geosciences. In our participative democracies people want to be actor of the development of their own territories; they want more freedom, more protection and less tax. Face to unrealistic political answers geoscientists have to explain and convince. It's not possible to gain on everything and some are going to loose. Shall geoscientists let decision-makers communicate on topics they hardly understand? No. Shall geoscientists communicate on sociology, economy, politics…? Yes. But they have to learn how to better communicate, with decision-makers and with the population. They have to address new domains; they need and have to develop new approaches and new tools for communicating; they finally have to take responsibilities and risk! The presentation will address the general problems of communication between geoscientists, decision-makers and population and propose approaches and examples to reduce the gap.

Better Decisions through Consultation and Collaboration

EPA Pesticide Factsheets

This manual discusses the benefits of public involvement to agency decision makers, including expanding shared baseline knowledge, generating support for the decision, and developing ongoing relationships that will help in implementing decisions.

A Social Report for Carroll County: Social Indicators for Rural Development. Sociology Report 134G.

ERIC Educational Resources Information Center

Marshall, Chris; And Others

Since the burden of improving quality of life is often squarely placed on the shoulders of public decision makers, this report (one of the products of Project 2142) provides a basis for assisting county-level decision makers in the planning process. Statistics that "indicate" the social well being or quality of life experienced by people…

The Current Status Of The United States Foreign Military Sales (FMS) Program

DTIC Science & Technology

2004-06-01

changing domestic and global security environment. Strengths, Weaknesses, Opportunities and Threats ( SWOT ) analysis was used to analyze: the information...gathered from the literature review; the importance of various players (domestic and international competitors, interests groups , decision makers...Foreign military assistance, Gulf Wars, the September 11 incidents, Market share, Decision Makers, Interest Groups , Major West European suppliers group

Perspectives of Women Decision-Makers Over the Participation and Recreational Events in Sports: A Turkish Perspective

ERIC Educational Resources Information Center

Guzel, Pinar

2015-01-01

The purpose of this research is to put forth the role of the leisure and recreation events awareness including women decision-makers effects on their fellow women. Three main themes were recognized: Past; "Process of leisure and recreation events of women in Turkey", Present; "Model of Turkey for women on leisure and…

Development of An Analytic Approach to Determine How Environmental Protection Agency’s Integrated Risk Information System (IRIS) Is Used by Non-EPA Decision Makers (Final Contractor Report)

EPA Science Inventory

EPA announced the availability of the final contractor report entitled, Development of an Analytic Approach to Determine How Environmental Protection Agency’s Integrated Risk Information System (IRIS) Is Used By Non EPA Decision Makers. This contractor report analyzed how ...

A rough set approach for determining weights of decision makers in group decision making.

PubMed

Yang, Qiang; Du, Ping-An; Wang, Yong; Liang, Bin

2017-01-01

This study aims to present a novel approach for determining the weights of decision makers (DMs) based on rough group decision in multiple attribute group decision-making (MAGDM) problems. First, we construct a rough group decision matrix from all DMs' decision matrixes on the basis of rough set theory. After that, we derive a positive ideal solution (PIS) founded on the average matrix of rough group decision, and negative ideal solutions (NISs) founded on the lower and upper limit matrixes of rough group decision. Then, we obtain the weight of each group member and priority order of alternatives by using relative closeness method, which depends on the distances from each individual group member' decision to the PIS and NISs. Through comparisons with existing methods and an on-line business manager selection example, the proposed method show that it can provide more insights into the subjectivity and vagueness of DMs' evaluations and selections.

Understanding The Decision Context: DPSIR, Decision Landscape, And Social Network Analysis

EPA Science Inventory

Establishing the decision context for a management problem is the critical first step for effective decision analysis. Understanding the decision context allow stakeholders and decision-makers to integrate the societal, environmental, and economic considerations that must be con...

Difficult decisions in times of constraint: Criteria based Resource Allocation in the Vancouver Coastal Health Authority

PubMed Central

2011-01-01

Objectives The aim of the project was to develop a plan to address a forecasted deficit of approximately $4.65 million for fiscal year 2010/11 in the Vancouver Communities division of the Vancouver Coastal Health Authority. For disinvestment opportunities identified beyond the forecasted deficit, a commitment was made to consider options for resource re-allocation within the Vancouver Communities division. Methods A standard approach to program budgeting and marginal analysis (PBMA) was taken with a priority setting working committee and a broader advisory panel. An experienced, non-vested internal project manager worked closely with the two-member external research team throughout the process. Face to face evaluation interviews were held with 10 decision makers immediately following the process. Results The recommendations of the working committee included the implementation of 44 disinvestment initiatives with an annualized value of CAD $4.9 million, as well as consideration of possible investments if the realized savings match expectations. Overall, decision makers viewed the process favorably and the primary aim of addressing the deficit gap was met. Discussion A key challenge was the tight timeline which likely lead to less evidence informed decision making then one would hope for. Despite this, decision makers felt that better decisions were made then had the process not been in place. In the end, this project adds value in finding that PBMA can be used to cover a deficit and minimize opportunity cost through systematic application of criteria whilst ensuring process fairness through focusing on communication, transparency and decision maker engagement. PMID:21756357

Psychological defense, ideological hideaway, or rational reckoning? The role of uncertainty in local adaptation to climate change

NASA Astrophysics Data System (ADS)

Moser, S. C.

2011-12-01

As adaptation planning is rising rapidly on the agenda of decision-makers, the need for adequate information to inform those decisions is growing. Locally relevant climate change (as well as related impacts and vulnerability) information, however, is difficult to obtain and that which can be obtained carries the burden of significant scientific uncertainty. This paper aims to assess how important such uncertainty is in adaptation planning, decision-making, and related stakeholder engagement. Does uncertainty actually hinder adaptation planning? Is scientific uncertainty used to postpone decisions reflecting ideologically agendas? Or is it a convenient defense against cognitive and affective engagement with the emerging and projected - and in some cases daunting - climate change risks? To whom does such uncertainty matter and how important is it relative to other challenges decision-makers and stakeholders face? The paper draws on four sources of information to answer these questions: (1) a statewide survey of California coastal managers conducted in summer 2011, (2) years of continual engagement with, and observation of, decision-makers in local adaptation efforts, (3) findings from focus groups with lay individuals in coastal California; and (4) a review of relevant adaptation literature to guide and contextualize the empirical research. The findings entail some "inconvenient truths" for those claiming critical technical or political importance. Rather, the insights suggest that some uncertainties matter more than others; they matter at certain times, but not at others; and they matter to some decision-makers, but not to others. Implications for scientists communicating and engaging with communities are discussed.

Modelling hydrological changes in surface in relation with anthropogenic drivers and consequences on human health and local economic

NASA Astrophysics Data System (ADS)

Sandoz, Alain; Leblond, Agnès; Boutron, Olivier

2016-04-01

Marais des Baux are located between Alpilles in the North and the plain of the Crau (South-East) of the town of Arles, in the South of France. Already built in Roman times, swamps located at the outlet of the Baux valley basin have experienced an increased human pressure during last centuries. Apotheosis of human development is the period of post-war with Marshall Plan and the development of the Common Agricultural Policy (CAP). At the beginning of the 21st century, inverse hydrologic dynamic is observed. Renaturation of the lower parts of the marshes, where land is less profitable, has reversed the trend of previous centuries. To be sustainable, this annealing must be accompanied by water governance at the watershed scale. This work aims to help policy makers and managers to good governance of the territory. Hierarchical multi-scale approach has enabled a better understanding of hydrological flows. In addition, knowledge of different actors' strategies is not enough. There may be different interests and strategies within the same group of actors. In this case, this is what we observe between farmers located on the upstream parts of the watershed eager, for some, to increase irrigation, and those located downstream, in the marshes, forced pump to maintain water levels corresponding to the expectations of the majority of the actors. On the other hand, there is a negative image of still marsh near a rural population and new rural population. Decreasing pumping or to send a higher volume of water could significantly increase flooded areas. This increase in flooded areas could facilitate the development of certain mosquito species. These mosquitoes not only represent a potential health risk for human populations but also increase the discomfort felt by the local population and tourists. This discomfort may also have an impact on economic activity linked with tourism. The work allowed the testing of different scenarios of flooding, according to the hydraulic management of the watershed. The modeling also performed to simulate a change in rainfall locally to measure hydrological and environmental consequences. According to these scenarios, it was possible to map the potential areas of mosquitoes breeding sites (presence / absence of mosquitoes) and their impact on urban populations in terms of health risks and nuisance. This territory represents many interests for decision-makers interested in issues of governance and renaturation. To improve the inclusion of better water governance and territories, as well as facilitate dynamic annealing, it might be necessary to help decision-makers having a better knowledge of the impact of human drivers on water management on the territory. This increased knowledge would also enable local decision-makers to improve their awareness of the heritage and biodiversity of wetlands. This project was funded by the French Ministry of Ecology, Sustainable Development and Energy as part of the projects Water and Territories.

Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies

USGS Publications Warehouse

Cooley, Sarah R.; Jewett, Elizabeth B.; Reichert, Julie; Robbins, Lisa L.; Shrestha, Gyami; Wieczorek, Dan; Weisberg, Stephen B.

2015-01-01

Much of the detailed, incremental knowledge being generated by current scientific research on ocean acidification (OA) does not directly address the needs of decision makers, who are asking broad questions such as: Where will OA harm marine resources next? When will this happen? Who will be affected? And how much will it cost? In this review, we use a series of mainly US-based case studies to explore the needs of local to international-scale groups that are making decisions to address OA concerns. Decisions concerning OA have been made most naturally and easily when information needs were clearly defined and closely aligned with science outputs and initiatives. For decisions requiring more complex information, the process slows dramatically. Decision making about OA is greatly aided (1) when a mixture of specialists participates, including scientists, resource users and managers, and policy and law makers; (2) when goals can be clearly agreed upon at the beginning of the process; (3) when mixed groups of specialists plan and create translational documents explaining the likely outcomes of policy decisions on ecosystems and natural resources; (4) when regional work on OA fits into an existing set of priorities concerning climate or water quality; and (5) when decision making can be reviewed and enhanced.

Decision-making in crisis: Applying a healthcare triage methodology to business continuity management.

PubMed

Moore, Bethany; Bone, Eric A

2017-01-01

The concept of triage in healthcare has been around for centuries and continues to be applied today so that scarce resources are allocated according to need. A business impact analysis (BIA) is a form of triage in that it identifies which processes are most critical, which to address first and how to allocate limited resources. On its own, however, the BIA provides only a roadmap of the impacts and interdependencies of an event. When disaster strikes, organisational decision-makers often face difficult decisions with regard to allocating limited resources between multiple 'mission-critical' functions. Applying the concept of triage to business continuity provides those decision-makers navigating a rapidly evolving and unpredictable event with a path that protects the fundamental priorities of the organisation. A business triage methodology aids decision-makers in times of crisis by providing a simplified framework for decision-making based on objective, evidence-based criteria, which is universally accepted and understood. When disaster strikes, the survival of the organisation depends on critical decision-making and quick actions to stabilise the incident. This paper argues that organisations need to supplement BIA processes with a decision-making triage methodology that can be quickly applied during the chaos of an actual event.

From products to processes: Academic events to foster interdisciplinary and iterative dialogue in a changing climate

NASA Astrophysics Data System (ADS)

Addor, Nans; Ewen, Tracy; Johnson, Leigh; Ćöltekin, Arzu; Derungs, Curdin; Muccione, Veruska

2015-08-01

In the context of climate change, both climate researchers and decision makers deal with uncertainties, but these uncertainties differ in fundamental ways. They stem from different sources, cover different temporal and spatial scales, might or might not be reducible or quantifiable, and are generally difficult to characterize and communicate. Hence, a mutual understanding between current and future climate researchers and decision makers must evolve for adaptation strategies and planning to progress. Iterative two-way dialogue can help to improve the decision making process by bridging current top-down and bottom-up approaches. One way to cultivate such interactions is by providing venues for these actors to interact and exchange on the uncertainties they face. We use a workshop-seminar series involving academic researchers, students, and decision makers as an opportunity to put this idea into practice and evaluate it. Seminars, case studies, and a round table allowed participants to reflect upon and experiment with uncertainties. An opinion survey conducted before and after the workshop-seminar series allowed us to qualitatively evaluate its influence on the participants. We find that the event stimulated new perspectives on research products and communication processes, and we suggest that similar events may ultimately contribute to the midterm goal of improving support for decision making in a changing climate. Therefore, we recommend integrating bridging events into university curriculum to foster interdisciplinary and iterative dialogue among researchers, decision makers, and students.

Medical equipment classification: method and decision-making support based on paraconsistent annotated logic.

PubMed

Oshiyama, Natália F; Bassani, Rosana A; D'Ottaviano, Itala M L; Bassani, José W M

2012-04-01

As technology evolves, the role of medical equipment in the healthcare system, as well as technology management, becomes more important. Although the existence of large databases containing management information is currently common, extracting useful information from them is still difficult. A useful tool for identification of frequently failing equipment, which increases maintenance cost and downtime, would be the classification according to the corrective maintenance data. Nevertheless, establishment of classes may create inconsistencies, since an item may be close to two classes by the same extent. Paraconsistent logic might help solve this problem, as it allows the existence of inconsistent (contradictory) information without trivialization. In this paper, a methodology for medical equipment classification based on the ABC analysis of corrective maintenance data is presented, and complemented with a paraconsistent annotated logic analysis, which may enable the decision maker to take into consideration alerts created by the identification of inconsistencies and indeterminacies in the classification.

Light Water Reactor Sustainability Program FY13 Status Update for EPRI - RISMC Collaboration

DOE Office of Scientific and Technical Information (OSTI.GOV)

Smith, Curtis

2013-09-01

The purpose of the Risk Informed Safety Margin Characterization (RISMC) Pathway research and development (R&D) is to support plant decisions for risk-informed margins management with the aim to improve economics, reliability, and sustain safety of current NPPs. Goals of the RISMC Pathway are twofold: (1) Develop and demonstrate a risk-assessment method coupled to safety margin quantification that can be used by NPP decision makers as part of their margin recovery strategies. (2) Create an advanced "RISMC toolkit" that enables more accurate representation of NPP safety margin. In order to carry out the R&D needed for the Pathway, the Idaho Nationalmore » Laboratory (INL) is collaborating with the Electric Power Research Institute (EPRI) in order to focus on applications of interest to the U.S. nuclear power industry. This report documents the collaboration activities performed between INL and EPRI during FY2013.« less

DOE Office of Scientific and Technical Information (OSTI.GOV)

Borges, Raymond Charles; Beaver, Justin M; Buckner, Mark A

Power system disturbances are inherently complex and can be attributed to a wide range of sources, including both natural and man-made events. Currently, the power system operators are heavily relied on to make decisions regarding the causes of experienced disturbances and the appropriate course of action as a response. In the case of cyber-attacks against a power system, human judgment is less certain since there is an overt attempt to disguise the attack and deceive the operators as to the true state of the system. To enable the human decision maker, we explore the viability of machine learning as amore » means for discriminating types of power system disturbances, and focus specifically on detecting cyber-attacks where deception is a core tenet of the event. We evaluate various machine learning methods as disturbance discriminators and discuss the practical implications for deploying machine learning systems as an enhancement to existing power system architectures.« less

A framework to support human factors of automation in railway intelligent infrastructure.

PubMed

Dadashi, Nastaran; Wilson, John R; Golightly, David; Sharples, Sarah

2014-01-01

Technological and organisational advances have increased the potential for remote access and proactive monitoring of the infrastructure in various domains and sectors - water and sewage, oil and gas and transport. Intelligent Infrastructure (II) is an architecture that potentially enables the generation of timely and relevant information about the state of any type of infrastructure asset, providing a basis for reliable decision-making. This paper reports an exploratory study to understand the concepts and human factors associated with II in the railway, largely drawing from structured interviews with key industry decision-makers and attachment to pilot projects. Outputs from the study include a data-processing framework defining the key human factors at different levels of the data structure within a railway II system and a system-level representation. The framework and other study findings will form a basis for human factors contributions to systems design elements such as information interfaces and role specifications.

Inter-individual differences in decision-making, flexible and goal-directed behaviors: novel insights within the prefronto-striatal networks.

PubMed

Fitoussi, Aurélie; Renault, Prisca; Le Moine, Catherine; Coutureau, Etienne; Cador, Martine; Dellu-Hagedorn, Françoise

2018-03-01

Inflexible behavior is a hallmark of several decision-making-related disorders such as ADHD and addiction. As in humans, a subset of healthy rats makes poor decisions and prefers immediate larger rewards despite suffering large losses in a rat gambling task (RGT). They also display a combination of traits reminiscent of addiction, notably inflexible behavior and perseverative responses. The goal of the present work was twofold: (1) to elucidate if behavioral inflexibility of poor decision-makers could be related to a lower quality of goal-directed behavior (action-outcome associations); (2) to uncover the neural basis of inter-individual differences in goal-directed behavior. We specifically assessed inter-individual differences in decision-making in the RGT, flexibility in the RGT-reversed version and goal-directed behavior in a contingency degradation test, i.e., response adaptation when dissociating reward delivery from the animal's action. The contributions of the medial prefrontal cortex and the dorsal striatum to action-outcome associations were assessed using Zif268 immunodetection. Inflexible behavior was related to a lower sensitivity to contingency degradation in all poor decision-makers and only in a few good decision-makers. This poorer sensitivity was associated with a lower immunoreactivity in prelimbic and infralimbic cortices and a higher one in the dorsomedial and dorsolateral striatum. These findings suggest that an imbalanced prefronto-striatal activity could underlie inaccurate goal representation in changing environments and may promote maladaptive habit formation among poor decision-makers. These data strengthen our previous work identifying biomarkers of vulnerability to develop psychiatric disorders and demonstrate the relevance of inter-individual differences to model maladaptive behaviors.

Using M and S to Improve Human Decision Making and Achieve Effective Problem Solving in an International Environment

NASA Technical Reports Server (NTRS)

Christie, Vanessa L.; Landess, David J.

2012-01-01

In the international arena, decision makers are often swayed away from fact-based analysis by their own individual cultural and political bias. Modeling and Simulation-based training can raise awareness of individual predisposition and improve the quality of decision making by focusing solely on fact vice perception. This improved decision making methodology will support the multinational collaborative efforts of military and civilian leaders to solve challenges more effectively. The intent of this experimental research is to create a framework that allows decision makers to "come to the table" with the latest and most significant facts necessary to determine an appropriate solution for any given contingency.

Wireless structural monitoring for homeland security applications

NASA Astrophysics Data System (ADS)

Kiremidjian, Garo K.; Kiremidjian, Anne S.; Lynch, Jerome P.

2004-07-01

This paper addresses the development of a robust, low-cost, low power, and high performance autonomous wireless monitoring system for civil assets such as large facilities, new construction, bridges, dams, commercial buildings, etc. The role of the system is to identify the onset, development, location and severity of structural vulnerability and damage. The proposed system represents an enabling infrastructure for addressing structural vulnerabilities specifically associated with homeland security. The system concept is based on dense networks of "intelligent" wireless sensing units. The fundamental properties of a wireless sensing unit include: (a) interfaces to multiple sensors for measuring structural and environmental data (such as acceleration, displacements, pressure, strain, material degradation, temperature, gas agents, biological agents, humidity, corrosion, etc.); (b) processing of sensor data with embedded algorithms for assessing damage and environmental conditions; (c) peer-to-peer wireless communications for information exchange among units(thus enabling joint "intelligent" processing coordination) and storage of data and processed information in servers for information fusion; (d) ultra low power operation; (e) cost-effectiveness and compact size through the use of low-cost small-size off-the-shelf components. An integral component of the overall system concept is a decision support environment for interpretation and dissemination of information to various decision makers.

A web-enabled system for integrated assessment of watershed development

USGS Publications Warehouse

Dymond, R.; Lohani, V.; Regmi, B.; Dietz, R.

2004-01-01

Researchers at Virginia Tech have put together the primary structure of a web enabled integrated modeling system that has potential to be a planning tool to help decision makers and stakeholders in making appropriate watershed management decisions. This paper describes the integrated system, including data sources, collection, analysis methods, system software and design, and issues of integrating the various component models. The integrated system has three modeling components, namely hydrology, economics, and fish health, and is accompanied by descriptive 'help files.' Since all three components have a related spatial aspect, GIS technology provides the integration platform. When completed, a user will access the integrated system over the web to choose pre-selected land development patterns to create a 'what if' scenario using an easy-to-follow interface. The hydrologic model simulates effects of the scenario on annual runoff volume, flood peaks of various return periods, and ground water recharge. The economics model evaluates tax revenue and fiscal costs as a result of a new land development scenario. The fish health model evaluates effects of new land uses in zones of influence to the health of fish populations in those areas. Copyright ASCE 2004.

Dying cancer patients talk about physician and patient roles in DNR decision making.

PubMed

Eliott, Jaklin A; Olver, Ian

2011-06-01

Within medical and bioethical discourse, there are many models depicting the relationships between, and roles of, physician and patient in medical decision making. Contestation similarly exists over the roles of physician and patient with regard to the decision not to provide cardiopulmonary resuscitation (CPR) following cardiac arrest [the do-not-resuscitate or do-not-resuscitate (DNR) decision], but there is little analysis of patient perspectives. Analyse what patients with cancer within weeks before dying say about the decision to forego CPR and the roles of patient and physician in this decision. Discursive analysis of qualitative data gathered during semi-structured interviews with 28 adult cancer patients close to death and attending palliative or oncology clinics of an Australian teaching hospital. Participants' descriptions of appropriate patient or physician roles in decisions about CPR appeared related to how they conceptualized the decision: as a personal or a medical issue, with patient and doctor respectively identified as appropriate decision makers; or alternatively, both medical and personal, with various roles assigned embodying different versions of a shared decision-making process. Participants' endorsement of physicians as decision makers rested upon physicians' enactment of the rational, knowledgeable and compassionate expert, which legitimized entrusting them to make the DNR decision. Where this was called into question, physicians were positioned as inappropriate decision makers. When patients' and physicians' understandings of the best decision, or of the preferred role of either party, diverge, conflict may ensue. In order to elicit and negotiate with patient preferences, flexibility is required during clinical interactions about decision making. © 2010 Blackwell Publishing Ltd.

American Recovery and Reinvestment Act of 2009: Final Report on Customer Acceptance, Retention, and Response to Time-Based Rates from Consumer Behavior Studies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cappers, Peter; Scheer, Rich

Time-based rate programs, enabled by utility investments in advanced metering infrastructure (AMI), are increasingly being considered by utilities as tools to reduce peak demand and enable customers to better manage consumption and costs. Under the Smart Grid Investment Grant Program (SGIG), the U.S. Department of Energy (DOE) partnered with several electric utilities to conduct consumer behavior studies (CBS). The goals involved applying randomized and controlled experimental designs for estimating customer responses more precisely and credibly to advance understanding of time-based rates and customer systems, and provide new information for improving program designs, implementation strategies, and evaluations. The intent was tomore » produce more robust and credible analysis of impacts, costs, benefits, and lessons learned and assist utility and regulatory decision makers in evaluating investment opportunities involving time-based rates.« less

Health economics in clinical research.

PubMed

Manns, Braden J

2015-01-01

The pressure for health care systems to provide more resource intensive health care and newer, more costly, therapies is significant, despite limited health care budgets. As such, demonstration that a new therapy is effective is no longer sufficient to ensure that it is funded within publicly funded health care systems. The impact of a therapy on health care costs is also an important consideration for decision-makers who must allocate scarce resources. The clinical benefits and costs of a new therapy can be estimated simultaneously using economic evaluation, the strengths and limitations of which are discussed herein. In addition, this chapter includes discussion of the important economic outcomes that can be collected within a clinical trial (alongside the clinical outcome data) enabling consideration of the impact of the therapy on overall resource use, thus enabling performance of an economic evaluation, if the therapy is shown to be effective.

A framework for production of systematic review based briefings to support evidence-informed decision-making.

PubMed

Chambers, Duncan; Wilson, Paul

2012-07-09

We have developed a framework for translating existing sources of synthesized and quality-assessed evidence, primarily systematic reviews, into actionable messages in the form of short accessible briefings. The service aims to address real-life problems in response to requests from decision-makers.Development of the framework was based on a scoping review of existing resources and our initial experience with two briefing topics, including models of service provision for young people with eating disorders. We also drew on previous experience in dissemination research and practice. Where appropriate, we made use of the SUPporting POlicy relevant Reviews and Trials (SUPPORT) tools for evidence-informed policymaking. To produce a product that it is fit for this purpose it has been necessary to go beyond a traditional summary of the available evidence relating to effectiveness. Briefings have, therefore, included consideration of cost effectiveness, local applicability, implications relating to local service delivery, budgets, implementation and equity. Our first evidence briefings produced under this framework cover diagnostic endoscopy by specialist nurses and integrated care pathways in mental healthcare settings. The framework will enable researchers to present and contextualize evidence from systematic reviews and other sources of synthesized and quality-assessed evidence. The approach is designed to address the wide range of questions of interest to decision-makers, especially those commissioning services or managing service delivery and organization in primary or secondary care. Evaluation of the use and usefulness of the evidence briefings we produce is an integral part of the framework and will help to fill a gap in the literature.

Climate Change Education Roundtable: A Coherent National Strategy

NASA Astrophysics Data System (ADS)

Storksdieck, M.; Feder, M.; Climate Change Education Roundtable

2010-12-01

The Climate Change Education (CCE) Roundtable fosters ongoing discussion of the challenges to and strategies for improving public understanding of climate science and climate change among federal agencies, the business community, non-profit, and academic sectors. The CCE Roundtable is provides a critical mechanism for developing a coherent, national strategy to advance climate change education guided by the best available research evidence. Through its meetings and workshops, the roundtable brings together 30 federal and state policymakers, educators, communications and media experts, and members from the business and scientific community. The roundtable includes a number of ex officio members from federal agencies with dedicated interests in climate change education, including officials from the National Science Foundation’s EHR Directorate and its collaborating partner divisions, the National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), the Department of Interior, the Department of Energy, and the Department of Education. The issues that are addressed by the roundtable include: - ways to incorporate knowledge about learning and understanding in developing informative programs and materials for decision-makers who must cope with climate change - the design of educational programs for professionals such as local planners, water managers, and the like, to enable them to better understand the implications of climate change for their decisions - development of training programs for scientists to help them become better communicators to decision-makers about implications of, and solutions to climate change - coordinated and collaborative efforts at the national level between federal agencies and other stakeholders This presenation will describe how the roundtable is fostering a coherent direction for climate change education.

Guardianship and financial management legislation: what doctors in aged care need to know.

PubMed

Bennett, H; Hallen, P

2005-08-01

Demographic and epidemiological changes have resulted in increasing numbers of elderly people, and in increasing numbers of elderly people suffering from various degrees of cognitive impairment, including dementia. It is well recognized that the presence of cognitive impairment may impact upon an older person's decision-making capacity, which has, in turn, been associated with increased acknowledgement of the need for greater accessibility to methods by which substitute decision-makers are appointed. To this end, legislation has been enacted throughout Australia to enable the appointment of substitute decision-makers in the form of guardians and financial managers. Medical practitioners are the largest group of health professional whose opinion is sought when appointments are being considered. Despite the significance of the legislation to the evaluation of elderly people with impaired cognition, many health professionals remain unaware of the provisions of the legislation and are unclear about what information will be required. The aims of this review are first, to provide health professionals with the legal context within which their evaluations of disability and capacity take place, by way of a review of the relevant guardianship and financial management legislation in each of the states and territories of Australia; and second, to discuss how these provisions relate to existing clinical practice, with suggested guidelines for the capacity assessment. The focus and quality of information that health professionals provide will be enhanced by them having a greater understanding of their role within the wider legal context by placing in their hands knowledge of the provisions of the relevant legislation.

Experiences in Bridging the Gap between Science and Decision Making at NASA's GSFC Earth Science Data and Information Services Center (GES DISC)

NASA Technical Reports Server (NTRS)

Kempler, Steven; Teng, Bill; Friedl, Lawrence; Lynnes, Chris; Leptoukh, Gregory

2008-01-01

Recognizing the significance of NASA remote sensing Earth science data in monitoring and better understanding our planet s natural environment, NASA has implemented the Decision Support Through Earth Science Research Results program (NASA ROSES solicitations). a) This successful program has yielded several monitoring, surveillance, and decision support systems through collaborations with benefiting organizations. b) The Goddard Space Flight Center (GSFC) Earth Sciences Data and Information Services Center (GES DISC) has participated in this program on two projects (one complete, one ongoing), and has had opportune ad hoc collaborations gaining much experience in the formulation, management, development, and implementation of decision support systems utilizing NASA Earth science data. c) In addition, GES DISC s understanding of Earth science missions and resulting data and information, including data structures, data usability and interpretation, data interoperability, and information management systems, enables the GES DISC to identify challenges that come with bringing science data to decision makers. d) The purpose of this presentation is to share GES DISC decision support system project experiences in regards to system sustainability, required data quality (versus timeliness), data provider understanding of how decisions are made, and the data receivers willingness to use new types of information to make decisions, as well as other topics. In addition, defining metrics that really evaluate success will be exemplified.

Including values in evidence-based policy making for breast screening: An empirically grounded tool to assist expert decision makers.

PubMed

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.

Enhancing the informed consent process for critical care research: strategies from a thromboprophylaxis trial.

PubMed

Smith, Orla M; McDonald, Ellen; Zytaruk, Nicole; Foster, Denise; Matte, Andrea; Clarke, France; Fleury, Suzie; Krause, Katie; McArdle, Tracey; Skrobik, Yoanna; Cook, Deborah J

2013-12-01

Critically ill patients lack capacity for decisions about research participation. Consent to enrol these patients in studies is typically obtained from substitute decision-makers. To present strategies that may optimise the process of obtaining informed consent from substitute decision-makers for participation of critically ill patients in trials. We use examples from a randomised trial of heparin thromboprophylaxis in the intensive care unit (PROTECT, clinicaltrials.gov NCT00182143). 3764 patients were randomised, with an informed consent rate of 82%; 90% of consents were obtained from substitute decision-makers. North American PROTECT research coordinators attended three meetings to discuss enrolment: (1) Trial start-up (January 2006); (2) Near trial closure (January 2010); and (3) Post-publication (April 2011). Data were derived from slide presentations, field notes from break-out groups and plenary discussions, then analysed inductively. We derived three phases for the informed consent process: (1) Preparation for the Consent Encounter; (2) The Consent Encounter; and (3) Follow-up to the Consent Encounter. Specific strategies emerged for each phase: Phase 1 (four strategies); Phase 2 (six strategies); and Phase 3 (three strategies). We identified 13 strategies that may improve the process of obtaining informed consent from substitute decision-makers and be generalisable to other settings and studies. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

Game theory and neural basis of social decision making

PubMed Central

Lee, Daeyeol

2008-01-01

Decision making in a social group displays two unique features. First, humans and other animals routinely alter their behaviors in response to changes in their physical and social environment. As a result, the outcomes of decisions that depend on the behaviors of multiple decision makers are difficult to predict, and this requires highly adaptive decision-making strategies. Second, decision makers may have other-regarding preferences and therefore choose their actions to improve or reduce the well-beings of others. Recently, many neurobiological studies have exploited game theory to probe the neural basis of decision making, and found that these unique features of social decision making might be reflected in the functions of brain areas involved in reward evaluation and reinforcement learning. Molecular genetic studies have also begun to identify genetic mechanisms for personal traits related to reinforcement learning and complex social decision making, further illuminating the biological basis of social behavior. PMID:18368047

The Current Mind-Set of Federal Information Security Decision-Makers on the Value of Governance: An Informative Study

ERIC Educational Resources Information Center

Stroup, Jay Walter

2014-01-01

Understanding the mind-set or perceptions of organizational leaders and decision-makers is important to ascertaining the trends and priorities in policy and governance of the organization. This study finds that a significant shift in the mind-set of government IT and information security leaders has started and will likely result in placing a…

Evaluation of an Interactive Workshop Designed to Teach Practical Welfare Techniques to Beef Cattle Caretakers and Decision Makers

ERIC Educational Resources Information Center

Dewell, Reneé; Hanthorn, Christy; Danielson, Jared; Burzette, Rebecca; Coetzee, Johann; Griffin, D. Dee; Ramirez, Alejandro; Dewell, Grant

2015-01-01

The purpose of the project was to evaluate the use of an interactive workshop designed to teach novel practical welfare techniques to beef cattle caretakers and decision makers. Following training, respondents reported being more likely to use or recommend use of local anesthesia for dehorning and castration and were more inclined to use meloxicam…

State Decision-Makers Guide for Hazardous Waste Management: Defining Hazardous Wastes, Problem Recognition, Land Use, Facility Operations, Conceptual Framework, Policy Issues, Transportation.

ERIC Educational Resources Information Center

Corson, Alan; And Others

Presented are key issues to be addressed by state, regional, and local governments and agencies in creating effective hazardous waste management programs. Eight chapters broadly frame the topics which state-level decision makers should consider. These chapters include: (1) definition of hazardous waste; (2) problem definition and recognition; (3)…

Knowledge and Attitudes of a Number of Iranian Policy-makers towards Abortion.

PubMed

Hourieh, Shamshiri-Milani; Abolghasem, Pourreza; Feizollah, Akbari

2010-10-01

Unsafe and illegal abortions are the third leading cause of maternal death. It affects physical, emotional and social health of women and their families. Abortion is a multi-dimensional phenomenon with several social, legal, and religious implications. The views of policy-makers affect the approach to abortion in every society. Understanding the attitudes and knowledge of high-ranking decision makers towards abortion was the purpose of this study. A qualitative research was implemented by carrying out individual interviews with 29 out of a selection of 80 presidents of medical sciences universities, senior executive managers in the legal system, forensic medicine and decision-makers in the health system and a number of top Muslim clerics, using a semi-structured questionnaire for data gathering. Content analysis revealed the results. There were considerable unwillingness and reluctance among the interviewees to participate in the study. The majority of participants fairly knew about the prevalence of illegal abortions and their complications. There was strong agreement on abortion when health of the mother or the fetus was at risk. Abortion for reproductive health reasons was supported by a minority of the respondents. The majority of them disagreed with abortion when pregnancy was the result of a rape, temporary marriage or out of wedlock affairs. Making decision for abortion by the pregnant mother, as a matter of her right, did not gain too much approval. It seemed that physical health of the mother or the fetus was of more importance to the respondents than their mental or social health. The mother's hardship was not any indication for induced abortion in the viewpoints of the interviewed policy-makers. Strengthening family planning programs, making appropriate laws in lines with religious orders and advocacy programs targeting decision makers are determined as strategies for improving women's health rights.

Dying cancer patients talk about physician and patient roles in DNR decision making

PubMed Central

Eliott, Jaklin A.; Olver, Ian

2011-01-01

Abstract Background  Within medical and bioethical discourse, there are many models depicting the relationships between, and roles of, physician and patient in medical decision making. Contestation similarly exists over the roles of physician and patient with regard to the decision not to provide cardiopulmonary resuscitation (CPR) following cardiac arrest [the do‐not‐resuscitate or do‐not‐resuscitate (DNR) decision], but there is little analysis of patient perspectives. Objective  Analyse what patients with cancer within weeks before dying say about the decision to forego CPR and the roles of patient and physician in this decision. Design and participants  Discursive analysis of qualitative data gathered during semi‐structured interviews with 28 adult cancer patients close to death and attending palliative or oncology clinics of an Australian teaching hospital. Results  Participants’ descriptions of appropriate patient or physician roles in decisions about CPR appeared related to how they conceptualized the decision: as a personal or a medical issue, with patient and doctor respectively identified as appropriate decision makers; or alternatively, both medical and personal, with various roles assigned embodying different versions of a shared decision‐making process. Participants’ endorsement of physicians as decision makers rested upon physicians’ enactment of the rational, knowledgeable and compassionate expert, which legitimized entrusting them to make the DNR decision. Where this was called into question, physicians were positioned as inappropriate decision makers. Conclusion  When patients’ and physicians’ understandings of the best decision, or of the preferred role of either party, diverge, conflict may ensue. In order to elicit and negotiate with patient preferences, flexibility is required during clinical interactions about decision making. PMID:20860782

How decisions happen: focal points and blind spots in interdependent decision making.

PubMed

Halevy, Nir; Chou, Eileen Y

2014-03-01

Decision makers often simplify decision problems by ignoring readily available information. The current multimethod research investigated which types of information about interdependence situations are psychologically prominent to decision makers and which tend to go unnoticed. Study 1 used eye-tracking measures to investigate how decision makers allocate their attention in interdependence situations and revealed that individuals fixated on mutual cooperation earlier and longer as compared with alternative combinations of strategies and outcomes. In addition, participants' behavioral cooperation was consistent with their attention allocation. Study 2 introduced a novel information-search paradigm: Participants exchanged yes/no questions and answers to discover which of 25 different games their counterpart chose. Analyzing the contents of participants' questions showed that, consistent with Study 1, participants focused primarily on desirable outcomes and symmetric behavioral choices. Study 3 revealed that outcome desirability is a robust basis of psychological prominence across different types of social relations; in contrast, the psychological prominence of symmetry was moderated by the nature of social relations. Study 4 revealed that whether different bases of psychological prominence directed individuals' attention to the same aspects of the decision-making task moderated the effect of information availability on decision latency and cooperation rates. Taken together, these findings contribute to the mapping of bounded rationality, demonstrate how people think about their interdependence, and enhance our understanding of how decisions happen. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

To Share or Not to Share: Malaysian Healthcare Professionals' Views on Localized Prostate Cancer Treatment Decision Making Roles.

PubMed

Lee, Yew Kong; Lee, Ping Yein; Cheong, Ai Theng; Ng, Chirk Jenn; Abdullah, Khatijah Lim; Ong, Teng Aik; Razack, Azad Hassan Abdul

2015-01-01

To explore the views of Malaysian healthcare professionals (HCPs) on stakeholders' decision making roles in localized prostate cancer (PCa) treatment. Qualitative interviews and focus groups were conducted with HCPs treating PCa. Data was analysed using a thematic approach. Four in-depth interviews and three focus group discussions were conducted between December 2012 and March 2013 using a topic guide. Interviews were audio-recorded, transcribed verbatim, and analysed thematically. The participants comprised private urologists (n = 4), government urologists (n = 6), urology trainees (n = 6), government policy maker (n = 1) and oncologists (n = 3). HCP perceptions of the roles of the three parties involved (HCPs, patients, family) included: HCP as the main decision maker, HCP as a guide to patients' decision making, HCP as a facilitator to family involvement, patients as main decision maker and patient prefers HCP to decide. HCPs preferred to share the decision with patients due to equipoise between prostate treatment options. Family culture was important as family members often decided on the patient's treatment due to Malaysia's close-knit family culture. A range of decision making roles were reported by HCPs. It is thus important that stakeholder roles are clarified during PCa treatment decisions. HCPs need to cultivate an awareness of sociocultural norms and family dynamics when supporting non-Western patients in making decisions about PCa.

Prediction of alcohol and gambling problems in young adults by using a measure of decision making.

PubMed

Harvanko, Arit M; Schreiber, Liana R N; Grant, Jon E

2013-01-01

Individuals who regularly gamble, regularly consume alcohol, or meet criteria for an alcohol-use disorder or pathological gambling may make riskier decisions on cognitive tasks. What remains unclear in the literature is whether these decision-making deficits precede or result from these addictive behaviors. This study aimed to determine whether risky decision making on a cognitive task is predictive of increasing gambling behaviors and alcohol use. Fifty-eight young adults (aged 18-29 years) free from Axis I disorders and reporting no symptoms of at-risk gambling behavior or alcohol consumption, who were participating in a longitudinal study of impulsivity, were grouped as either high-risk decision makers (n = 29) or low-risk decision makers (n = 29) by using the Cambridge Gamble Task. Subjects were assessed at 1-year follow-up to examine gambling frequency, alcohol consumption, at-risk alcohol-use criteria, alcohol-use disorder criteria, at-risk gambling criteria, and pathological gambling criteria. High-risk decision makers were found to be more likely to meet at-risk criteria for alcohol use after 1 year. Decision-making group membership was not significantly correlated with frequency of gambling or development of pathological gambling or alcohol-use disorder over 1 year. A variable measuring risky decision making on the Cambridge Gambling Task may be able to predict who is more likely to increase alcohol use per session later in life.

To Share or Not to Share: Malaysian Healthcare Professionals' Views on Localized Prostate Cancer Treatment Decision Making Roles

PubMed Central

Lee, Yew Kong; Lee, Ping Yein; Cheong, Ai Theng; Ng, Chirk Jenn; Abdullah, Khatijah Lim; Ong, Teng Aik; Razack, Azad Hassan Abdul

2015-01-01

Aim To explore the views of Malaysian healthcare professionals (HCPs) on stakeholders’ decision making roles in localized prostate cancer (PCa) treatment. Methods Qualitative interviews and focus groups were conducted with HCPs treating PCa. Data was analysed using a thematic approach. Four in-depth interviews and three focus group discussions were conducted between December 2012 and March 2013 using a topic guide. Interviews were audio-recorded, transcribed verbatim, and analysed thematically. Findings The participants comprised private urologists (n = 4), government urologists (n = 6), urology trainees (n = 6), government policy maker (n = 1) and oncologists (n = 3). HCP perceptions of the roles of the three parties involved (HCPs, patients, family) included: HCP as the main decision maker, HCP as a guide to patients’ decision making, HCP as a facilitator to family involvement, patients as main decision maker and patient prefers HCP to decide. HCPs preferred to share the decision with patients due to equipoise between prostate treatment options. Family culture was important as family members often decided on the patient’s treatment due to Malaysia’s close-knit family culture. Conclusions A range of decision making roles were reported by HCPs. It is thus important that stakeholder roles are clarified during PCa treatment decisions. HCPs need to cultivate an awareness of sociocultural norms and family dynamics when supporting non-Western patients in making decisions about PCa. PMID:26559947

TIUPAM: A Framework for Trustworthiness-Centric Information Sharing

NASA Astrophysics Data System (ADS)

Xu, Shouhuai; Sandhu, Ravi; Bertino, Elisa

Information is essential to decision making. Nowadays, decision makers are often overwhelmed with large volumes of information, some of which may be inaccurate, incorrect, inappropriate, misleading, or maliciously introduced. With the advocated shift of information sharing paradigm from “need to know” to “need to share” this problem will be further compounded. This poses the challenge of achieving assured information sharing so that decision makers can always get and utilize the up-to-date information for making the right decisions, despite the existence of malicious attacks and without breaching privacy of honest participants. As a first step towards answering this challenge this paper proposes a systematic framework we call TIUPAM, which stands for “Trustworthiness-centric Identity, Usage, Provenance, and Attack Management.” The framework is centered at the need of trustworthiness and risk management for decision makers, and supported by four key components: identity management, usage management, provenance management and attack management. We explore the characterization of both the core functions and the supporting components in the TIUPAM framework, which may guide the design and realization of concrete schemes in the future.

Leveraging human decision making through the optimal management of centralized resources

NASA Astrophysics Data System (ADS)

Hyden, Paul; McGrath, Richard G.

2016-05-01

Combining results from mixed integer optimization, stochastic modeling and queuing theory, we will advance the interdisciplinary problem of efficiently and effectively allocating centrally managed resources. Academia currently fails to address this, as the esoteric demands of each of these large research areas limits work across traditional boundaries. The commercial space does not currently address these challenges due to the absence of a profit metric. By constructing algorithms that explicitly use inputs across boundaries, we are able to incorporate the advantages of using human decision makers. Key improvements in the underlying algorithms are made possible by aligning decision maker goals with the feedback loops introduced between the core optimization step and the modeling of the overall stochastic process of supply and demand. A key observation is that human decision-makers must be explicitly included in the analysis for these approaches to be ultimately successful. Transformative access gives warfighters and mission owners greater understanding of global needs and allows for relationships to guide optimal resource allocation decisions. Mastery of demand processes and optimization bottlenecks reveals long term maximum marginal utility gaps in capabilities.

Multi-Sector Sustainability Browser (MSSB) User Manual: A ...

EPA Pesticide Factsheets

EPA’s Sustainable and Healthy Communities (SHC) Research Program is developing methodologies, resources, and tools to assist community members and local decision makers in implementing policy choices that facilitate sustainable approaches in managing their resources affecting the built environment, natural environment, and human health. In order to assist communities and decision makers in implementing sustainable practices, EPA is developing computer-based systems including models, databases, web tools, and web browsers to help communities decide upon approaches that support their desired outcomes. Communities need access to resources that will allow them to achieve their sustainability objectives through intelligent decisions in four key sustainability areas: • Land Use • Buildings and Infrastructure • Transportation • Materials Management (i.e., Municipal Solid Waste [MSW] processing and disposal) The Multi-Sector Sustainability Browser (MSSB) is designed to support sustainable decision-making for communities, local and regional planners, and policy and decision makers. Document is an EPA Technical Report, which is the user manual for the Multi-Sector Sustainability Browser (MSSB) tool. The purpose of the document is to provide basic guidance on use of the tool for users

Effective Decision Maker-Scientist Engagement:Climate Change Vulnerability Analysis of California's Water System to Using Decision Scaling.

NASA Astrophysics Data System (ADS)

Schwarz, A. M.; Ray, P.; Brown, C.; Wi, S.

2016-12-01

For nearly 2 years the California Department of Water Resources (CDWR) has been working with the University of Massachusetts Amherst (UMass) to evaluate climate change vulnerabilities to the California State Water Project. Working cooperatively, the team has developed tools and methods to employ a decision scaling approach to CDWR's existing water system model (CalSim-II/CalLite 3.0). This presentation will discuss how and why this partnership came to be, the co-production model the team has developed to share expertise, the new understanding of the system that has been gained through the process, and current and future efforts to influence planning and investments based on the findings of the work. This cooperative decision-maker-with-scientist engagement is unique in that CDWR has not outsourced the application of the science to their systems, and instead has worked directly with UMass researchers to develop the process, produce results, and interpret findings. Further, CDWR staff has worked with UMass researchers to present results in ways that are more useable and actionable for decision-makers. As will be shown, many of these graphics allow the team to use the science differently to improve decision making.

Finding common ground to achieve a “good death”: family physicians working with substitute decision-makers of dying patients. A qualitative grounded theory study

PubMed Central

2013-01-01

Background Substitute decision-makers are integral to the care of dying patients and make many healthcare decisions for patients. Unfortunately, conflict between physicians and surrogate decision-makers is not uncommon in end-of-life care and this could contribute to a “bad death” experience for the patient and family. We aim to describe Canadian family physicians’ experiences of conflict with substitute decision-makers of dying patients to identify factors that may facilitate or hinder the end-of-life decision-making process. This insight will help determine how to best manage these complex situations, ultimately improving the overall care of dying patients. Methods Grounded Theory methodology was used with semi-structured interviews of family physicians in Edmonton, Canada, who experienced conflict with substitute decision-makers of dying patients. Purposeful sampling included maximum variation and theoretical sampling strategies. Interviews were audio-taped, and transcribed verbatim. Transcripts, field notes and memos were coded using the constant-comparative method to identify key concepts until saturation was achieved and a theoretical framework emerged. Results Eleven family physicians with a range of 3 to 40 years in clinical practice participated. The family physicians expressed a desire to achieve a “good death” and described their role in positively influencing the experience of death. Finding Common Ground to Achieve a “Good Death” for the Patient emerged as an important process which includes 1) Building Mutual Trust and Rapport through identifying key players and delivering manageable amounts of information, 2) Understanding One Another through active listening and ultimately, and 3) Making Informed, Shared Decisions. Facilitators and barriers to achieving Common Ground were identified. Barriers were linked to conflict. The inability to resolve an overt conflict may lead to an impasse at any point. A process for Resolving an Impasse is described. Conclusions A novel framework for developing Common Ground to manage conflicts during end-of-life decision-making discussions may assist in achieving a “good death”. These results could aid in educating physicians, learners, and the public on how to achieve productive collaborative relationships during end-of-life decision-making for dying patients, and ultimately improve their deaths. PMID:23339822

Why do verification and validation?

DOE PAGES

Hu, Kenneth T.; Paez, Thomas L.

2016-02-19

In this discussion paper, we explore different ways to assess the value of verification and validation (V&V) of engineering models. We first present a literature review on the value of V&V and then use value chains and decision trees to show how value can be assessed from a decision maker's perspective. In this context, the value is what the decision maker is willing to pay for V&V analysis with the understanding that the V&V results are uncertain. As a result, the 2014 Sandia V&V Challenge Workshop is used to illustrate these ideas.

Youth Advocacy as a Tool for Environmental and Policy Changes That Support Physical Activity and Nutrition: An Evaluation Study in San Diego County

PubMed Central

Edwards, Christine C.; Woodruff, Susan I.; Millstein, Rachel A.; Moder, Cheryl

2014-01-01

Background As evidence grows about the benefits of policy and environmental changes to support active living and healthy eating, effective tools for implementing change must be developed. Youth advocacy, a successful strategy in the field of tobacco control, should be evaluated for its potential in the field of obesity prevention. Community Context San Diego State University collaborated with the San Diego County Childhood Obesity Initiative to evaluate Youth Engagement and Action for Health! (YEAH!), a youth advocacy project to engage youth and adult mentors in advocating for neighborhood improvements in physical activity and healthy eating opportunities. Study objectives included documenting group process and success of groups in engaging in community advocacy with decision makers. Methods In 2011 and 2012, YEAH! group leaders were recruited from the San Diego County Childhood Obesity Initiative’s half-day train-the-trainer seminars for adult leaders. Evaluators collected baseline and postproject survey data from youth participants and adult group leaders and interviewed decision makers. Outcomes Of the 21 groups formed, 20 completed the evaluation, conducted community assessments, and advocated with decision makers. Various types of decision makers were engaged, including school principals, food service personnel, city council members, and parks and recreation officials. Eleven groups reported change(s) implemented as a result of their advocacy, 4 groups reported changes pending, and 5 groups reported no change as a result of their efforts. Interpretation Even a brief training session, paired with a practical manual, technical assistance, and commitment of adult leaders and youth may successfully engage decision makers and, ultimately, bring about change. PMID:24674636

Framing bioremediation decision making as negotiation: Rationale & guidelineFraming bioremediation decision making as negotiation: Rationale & guidelines

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bjornstad, David J.; Wolfe, Amy K.

Framing remediation decision making as negotiation: (1) social choice, not technology choice; (2) prompts decision makers to identify interested and affected parties, anticipate objections, effectively address and ameliorate objections, and avoid unacceptable decisions.

Using an innovative criteria weighting tool for stakeholders involvement to rank MSW facility sites with the AHP.

PubMed

De Feo, Giovanni; De Gisi, Sabino

2010-11-01

The main aim of this study was to verify the efficacy of using an innovative criteria weighting tool (the "priority scale") for stakeholders involvement to rank a list of suitable municipal solid waste (MSW) facility sites with the multi-criteria decision-making (MCDM) technique known as analytic hierarchy process (AHP). One of the main objectives of the study was to verify the behaviour of the "priority scale" with both technical and non-technical decision-makers. All over the world, the siting of MSW treatment or disposal plants is a complex process involving politicians, technicians as well as citizens, where stakeholders who are not effectively involved strongly oppose (or even obstruct) the realization of new facilities. In this study, in order to pursue both the technical (select the best site) and social aims (all the stakeholders have to give their aware contribution), the use of the "priority scale" is suggested as a tool to easily collect non-contradictory criteria preferences by the various decision-makers. Every decision-maker filled in "priority scale", which was subsequently uploaded in the AHP tool in order to indirectly calculate the individual priority of alternatives given by each stakeholder (not using group aggregation techniques). The proposed method was applied to the siting of a composting plant in an area suffering from a serious MSW emergency, which has lasted for over 15 years, in the Campania Region, in Southern Italy. The best site (the "first choice") was taken as the one that appeared the most times at the first place of each decision-maker ranking list. The involved technical and non-technical decision-makers showed the same behaviour in (indirectly) selecting the best site as well as in terms of the most appraised criteria ("absence of areas of the highest value for natural habitats and species of plants and animals"). Moreover, they showed the same AHP inconsistency ratio as well as the same behaviour in comparison with a "balanced decision-maker" (who assigns identical weights to all the considered criteria). Therefore, the proposed criteria weighting tool could be widely as well as easily used for stakeholders involvement to rank MSW facility sites (or other kinds of alternatives) with the AHP or with other MCDM techniques, taking or not into consideration group aggregation methods. Copyright © 2010 Elsevier Ltd. All rights reserved.

Analysis of Multi-Criteria Evaluation Method of Landfill Site Selection for Municipal Solid Waste Management

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.

Data and monitoring needs for a more ecological agriculture

NASA Astrophysics Data System (ADS)

Zaks, David P. M.; Kucharik, Christopher J.

2011-01-01

Information on the life-cycle environmental impacts of agricultural production is often limited. As demands grow for increasing agricultural output while reducing its negative environmental impacts, both existing and novel data sources can be leveraged to provide more information to producers, consumers, scientists and policy makers. We review the components and organization of an agroecological sensor web that integrates remote sensing technologies and in situ sensors with models in order to provide decision makers with effective management options at useful spatial and temporal scales for making more informed decisions about agricultural productivity while reducing environmental burdens. Several components of the system are already in place, but by increasing the extent and accessibility of information, decision makers will have the opportunity to enhance food security and environmental quality. Potential roadblocks to implementation include farmer acceptance, data transparency and technology deployment.

Bayesian techniques for analyzing group differences in the Iowa Gambling Task: A case study of intuitive and deliberate decision-makers.

PubMed

Steingroever, Helen; Pachur, Thorsten; Šmíra, Martin; Lee, Michael D

2018-06-01

The Iowa Gambling Task (IGT) is one of the most popular experimental paradigms for comparing complex decision-making across groups. Most commonly, IGT behavior is analyzed using frequentist tests to compare performance across groups, and to compare inferred parameters of cognitive models developed for the IGT. Here, we present a Bayesian alternative based on Bayesian repeated-measures ANOVA for comparing performance, and a suite of three complementary model-based methods for assessing the cognitive processes underlying IGT performance. The three model-based methods involve Bayesian hierarchical parameter estimation, Bayes factor model comparison, and Bayesian latent-mixture modeling. We illustrate these Bayesian methods by applying them to test the extent to which differences in intuitive versus deliberate decision style are associated with differences in IGT performance. The results show that intuitive and deliberate decision-makers behave similarly on the IGT, and the modeling analyses consistently suggest that both groups of decision-makers rely on similar cognitive processes. Our results challenge the notion that individual differences in intuitive and deliberate decision styles have a broad impact on decision-making. They also highlight the advantages of Bayesian methods, especially their ability to quantify evidence in favor of the null hypothesis, and that they allow model-based analyses to incorporate hierarchical and latent-mixture structures.

A preliminary psychometric evaluation of the eight-item cognitive load scale.

PubMed

Pignatiello, Grant A; Tsivitse, Emily; Hickman, Ronald L

2018-04-01

The aim of this article is to report the psychometric properties of the eight-item cognitive load scale. According to cognitive load theory, the formatting and delivery of healthcare education influences the degree to which patients and/or family members can engage their working memory systems for learning. However, despite its relevance, cognitive load has not yet been evaluated among surrogate decision makers exposed to electronic decision support for healthcare decisions. To date, no psychometric analyses of instruments evaluating cognitive load have been reported within healthcare settings. A convenience sample of 62 surrogate decision makers for critically ill patients were exposed to one of two healthcare decision support interventions were recruited from four intensive care units at a tertiary medical center in Northeast Ohio. Participants were administered a battery of psychosocial instruments and the eight-item cognitive load scale (CLS). The CLS demonstrated a bidimensional factor structure with acceptable discriminant validity and internal consistency reliability (Cronbach's α = 0.75 and 0.89). The CLS is a psychometrically sound instrument that may be used in the evaluation of decision support among surrogate decision makers of the critically ill. The authors recommend application of the cognitive load scale in the evaluation and development of healthcare education and interventions. Copyright © 2018 Elsevier Inc. All rights reserved.

Regulating Emotions during Difficult Multiattribute Decision Making: The Role of Pre-Decisional Coherence Shifting.

PubMed

Carpenter, Stephanie M; Yates, J Frank; Preston, Stephanie D; Chen, Lydia

2016-01-01

Almost all real-life decisions entail attribute conflict; every serious choice alternative is better than its competitors on some attribute dimensions but worse on others. In pre-decisional "coherence shifting," the decision maker gradually softens that conflict psychologically to the point where one alternative is seen as dominant over its competitors, or nearly so. Specifically, weaknesses of the eventually chosen alternative come to be perceived as less severe and less important while its strengths seem more desirable and significant. The research described here demonstrates that difficult multiattribute decision problems are aversive and that pre-decisional coherence shifting aids individuals in regulating that emotional discomfort. Across three studies, attribute conflict was confirmed to be aversive (Study 1), and skin conductance responses and ratings of decision difficulty both decreased in participants who coherence shifted (Study 2). Coherence shifting was also diminished among decision makers who were depleted of regulatory resources, known to be required for common emotion regulation mechanisms. Further, coherence shifting was shown to be relatively common among people who reported strong suppression tendencies in everyday emotion regulation (Study 3). Overall, the data suggest that, at least in part, coherence shifting serves as a tool that helps decision makers manage the pre-decisional discomfort generated by attribute conflict. Theoretical and practical implications are discussed.

Regulating Emotions during Difficult Multiattribute Decision Making: The Role of Pre-Decisional Coherence Shifting

PubMed Central

Carpenter, Stephanie M.; Yates, J. Frank; Preston, Stephanie D.; Chen, Lydia

2016-01-01

Almost all real-life decisions entail attribute conflict; every serious choice alternative is better than its competitors on some attribute dimensions but worse on others. In pre-decisional “coherence shifting,” the decision maker gradually softens that conflict psychologically to the point where one alternative is seen as dominant over its competitors, or nearly so. Specifically, weaknesses of the eventually chosen alternative come to be perceived as less severe and less important while its strengths seem more desirable and significant. The research described here demonstrates that difficult multiattribute decision problems are aversive and that pre-decisional coherence shifting aids individuals in regulating that emotional discomfort. Across three studies, attribute conflict was confirmed to be aversive (Study 1), and skin conductance responses and ratings of decision difficulty both decreased in participants who coherence shifted (Study 2). Coherence shifting was also diminished among decision makers who were depleted of regulatory resources, known to be required for common emotion regulation mechanisms. Further, coherence shifting was shown to be relatively common among people who reported strong suppression tendencies in everyday emotion regulation (Study 3). Overall, the data suggest that, at least in part, coherence shifting serves as a tool that helps decision makers manage the pre-decisional discomfort generated by attribute conflict. Theoretical and practical implications are discussed. PMID:26986752

Multi-criteria decision making--an approach to setting priorities in health care.

PubMed

Nobre, F F; Trotta, L T; Gomes, L F

1999-12-15

The objective of this paper is to present a multi-criteria decision making (MCDM) approach to support public health decision making that takes into consideration the fuzziness of the decision goals and the behavioural aspect of the decision maker. The approach is used to analyse the process of health technology procurement in a University Hospital in Rio de Janeiro, Brazil. The method, known as TODIM, relies on evaluating alternatives with a set of decision criteria assessed using an ordinal scale. Fuzziness in generating criteria scores and weights or conflicts caused by dealing with different viewpoints of a group of decision makers (DMs) are solved using fuzzy set aggregation rules. The results suggested that MCDM models, incorporating fuzzy set approaches, should form a set of tools for public health decision making analysis, particularly when there are polarized opinions and conflicting objectives from the DM group. Copyright 1999 John Wiley & Sons, Ltd.

Decision making in recurrent neuronal circuits.

PubMed

Wang, Xiao-Jing

2008-10-23

Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the proposal of a cortical circuit mechanism of elemental decision computations. This mechanism depends on slow recurrent synaptic excitation balanced by fast feedback inhibition, which not only instantiates attractor states for forming categorical choices but also long transients for gradually accumulating evidence in favor of or against alternative options. Such a circuit endowed with reward-dependent synaptic plasticity is able to produce adaptive choice behavior. While decision threshold is a core concept for reaction time tasks, it can be dissociated from a general decision rule. Moreover, perceptual decisions and value-based economic choices are described within a unified framework in which probabilistic choices result from irregular neuronal activity as well as iterative interactions of a decision maker with an uncertain environment or other unpredictable decision makers in a social group.

Quality Psychological Advice for Teachers, Parents/Carers and LEA Decision-Makers with Respect to Children and Young People with Special Needs

ERIC Educational Resources Information Center

Cameron, R. J. (Sean); Monsen, Jeremy J.

2005-01-01

The main aim of this paper is to describe a working protocol which can offer practising educational psychologists a rational framework within which to investigate and understand the complex problems of children and young people in school and to provide appropriate advice to teachers, parents/carers and LEA decision makers on how they can best…

Work-Based Learning: A Practical Approach for Learning to Work and Working to Learn. A Case Study on Decision-Makers' Professional Development in Iran

ERIC Educational Resources Information Center

Arani, Mohammad Reza Sarkar; Alagamandan, Jafar; Tourani, Heidar

2004-01-01

The work-based learning model of human resource development has captured a great deal of attention and has gained increasing importance in higher education in recent years. Work-based learning is a powerful phenomenon that attempts to help policy-makers, managers and curriculum developers improve the quality of the decision and organizational…

Shrinking Sea Ice, Thawing Permafrost, Bigger Storms, and Extremely Limited Data - Addressing Information Needs of Stakeholders in Western Alaska Through Participatory Decisions and Collaborative Science.

NASA Astrophysics Data System (ADS)

Murphy, K. A.; Reynolds, J.

2015-12-01

Communities, Tribes, and decision makers in coastal western Alaska are being impacted by declining sea ice, sea level rise, changing storm patterns and intensities, and increased rates of coastal erosion. Relative to their counterparts in the contiguous USA, their ability to plan for and respond to these changes is constrained by the region's generally meager or non-existent information base. Further, the information needs and logistic challenges are of a scale that perhaps can be addressed only through strong, strategic collaboration. Landscape Conservation Cooperatives (LCCs) are fundamentally about applied science and collaboration, especially collaborative decision making. The Western Alaska LCC has established a process of participatory decision making that brings together researchers, agency managers, local experts from Tribes and field specialists to identify and prioritize shared information needs; develop a course of action to address them by using the LCC's limited resources to catalyze engagement, overcome barriers to progress, and build momentum; then ensure products are delivered in a manner that meets decision makers' needs. We briefly review the LCC's activities & outcomes from the stages of (i) collaborative needs assessment (joint with the Alaska Climate Science Center and the Alaska Ocean Observing System), (ii) strategic science activities, and (iii) product refinement and delivery. We discuss lessons learned, in the context of our recent program focused on 'Changes in Coastal Storms and Their Impacts' and current collaborative efforts focused on delivery of Coastal Resiliency planning tools and results from applied science projects. Emphasis is given to the various key interactions between scientists and decision makers / managers that have been promoted by this process to ensure alignment of final products to decision maker needs.

Achieving conservation science that bridges the knowledge-action boundary.

PubMed

Cook, Carly N; Mascia, Michael B; Schwartz, Mark W; Possingham, Hugh P; Fuller, Richard A

2013-08-01

There are many barriers to using science to inform conservation policy and practice. Conservation scientists wishing to produce management-relevant science must balance this goal with the imperative of demonstrating novelty and rigor in their science. Decision makers seeking to make evidence-based decisions must balance a desire for knowledge with the need to act despite uncertainty. Generating science that will effectively inform management decisions requires that the production of information (the components of knowledge) be salient (relevant and timely), credible (authoritative, believable, and trusted), and legitimate (developed via a process that considers the values and perspectives of all relevant actors) in the eyes of both researchers and decision makers. We perceive 3 key challenges for those hoping to generate conservation science that achieves all 3 of these information characteristics. First, scientific and management audiences can have contrasting perceptions about the salience of research. Second, the pursuit of scientific credibility can come at the cost of salience and legitimacy in the eyes of decision makers, and, third, different actors can have conflicting views about what constitutes legitimate information. We highlight 4 institutional frameworks that can facilitate science that will inform management: boundary organizations (environmental organizations that span the boundary between science and management), research scientists embedded in resource management agencies, formal links between decision makers and scientists at research-focused institutions, and training programs for conservation professionals. Although these are not the only approaches to generating boundary-spanning science, nor are they mutually exclusive, they provide mechanisms for promoting communication, translation, and mediation across the knowledge-action boundary. We believe that despite the challenges, conservation science should strive to be a boundary science, which both advances scientific understanding and contributes to decision making. © 2013 Society for Conservation Biology.

Seeing the forests and the trees—innovative approaches to exploring heterogeneity in systematic reviews of complex interventions to enhance health system decision-making: a protocol

PubMed Central

2014-01-01

Background To improve quality of care and patient outcomes, health system decision-makers need to identify and implement effective interventions. An increasing number of systematic reviews document the effects of quality improvement programs to assist decision-makers in developing new initiatives. However, limitations in the reporting of primary studies and current meta-analysis methods (including approaches for exploring heterogeneity) reduce the utility of existing syntheses for health system decision-makers. This study will explore the role of innovative meta-analysis approaches and the added value of enriched and updated data for increasing the utility of systematic reviews of complex interventions. Methods/Design We will use the dataset from our recent systematic review of 142 randomized trials of diabetes quality improvement programs to evaluate novel approaches for exploring heterogeneity. These will include exploratory methods, such as multivariate meta-regression analyses and all-subsets combinatorial meta-analysis. We will then update our systematic review to include new trials and enrich the dataset by surveying authors of all included trials. In doing so, we will explore the impact of variables not, reported in previous publications, such as details of study context, on the effectiveness of the intervention. We will use innovative analytical methods on the enriched and updated dataset to identify key success factors in the implementation of quality improvement interventions for diabetes. Decision-makers will be involved throughout to help identify and prioritize variables to be explored and to aid in the interpretation and dissemination of results. Discussion This study will inform future systematic reviews of complex interventions and describe the value of enriching and updating data for exploring heterogeneity in meta-analysis. It will also result in an updated comprehensive systematic review of diabetes quality improvement interventions that will be useful to health system decision-makers in developing interventions to improve outcomes for people with diabetes. Systematic review registration PROSPERO registration no. CRD42013005165 PMID:25115289

Creating and synthesizing evidence with decision makers in mind: integrating evidence from clinical trials and other study designs.

PubMed

Atkins, David

2007-10-01

Randomized controlled trials (RCTs) remain the accepted "gold standard" for determining the efficacy of new drugs or medical procedures. Randomized trials alone, however, cannot provide all the relevant information decision makers need to determine the relative risks and benefits when choosing the best treatment of individual patients or weighing the implications of particular policies affecting medical therapies. To demonstrate the limitations of RCTs in providing the information needed by medical decision makers, and to show how information from observational studies can supplement evidence from RCTs. Qualitative description of the limitations of RCTs in providing the information needed by medical decision makers, and demonstration of how evidence from additional sources can aid in decision making, using the examples of deciding whether a 60-year-old woman with mildly elevated blood pressure should take daily low-dose aspirin, and whether a hospital network should implement carotid artery surgery for asymptomatic patients. Even the most rigorously designed RCTs leave many questions central to medical decision making unanswered. Research using cohort and case-control designs, disease and intervention registries, and outcomes studies based on administrative data can all shed light on who is most likely to benefit from the treatment, and what the important tradeoffs are. This suggests the need to revise the traditional evidence hierarchy, whereby evidence progresses linearly from basic research to rigorous RCTs. This revised hierarchy recognizes that other research designs can provide important evidence to strengthen our understanding of how to apply research findings in practice.

ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence.

PubMed

Reif, David M; Sypa, Myroslav; Lock, Eric F; Wright, Fred A; Wilson, Ander; Cathey, Tommy; Judson, Richard R; Rusyn, Ivan

2013-02-01

Scientists and regulators are often faced with complex decisions, where use of scarce resources must be prioritized using collections of diverse information. The Toxicological Prioritization Index (ToxPi™) was developed to enable integration of multiple sources of evidence on exposure and/or safety, transformed into transparent visual rankings to facilitate decision making. The rankings and associated graphical profiles can be used to prioritize resources in various decision contexts, such as testing chemical toxicity or assessing similarity of predicted compound bioactivity profiles. The amount and types of information available to decision makers are increasing exponentially, while the complex decisions must rely on specialized domain knowledge across multiple criteria of varying importance. Thus, the ToxPi bridges a gap, combining rigorous aggregation of evidence with ease of communication to stakeholders. An interactive ToxPi graphical user interface (GUI) application has been implemented to allow straightforward decision support across a variety of decision-making contexts in environmental health. The GUI allows users to easily import and recombine data, then analyze, visualize, highlight, export and communicate ToxPi results. It also provides a statistical metric of stability for both individual ToxPi scores and relative prioritized ranks. The ToxPi GUI application, complete user manual and example data files are freely available from http://comptox.unc.edu/toxpi.php.

Ethical challenges related to elder care. High level decision-makers' experiences

PubMed Central

Mamhidir, Anna-Greta; Kihlgren, Mona; Sorlie, Venke

2007-01-01

Background Few empirical studies have been found that explore ethical challenges among persons in high public positions that are responsible for elder care. The aim of this paper was to illuminate the meaning of being in ethically difficult situations related to elder care as experienced by high level decision-makers. Methods A phenomenological-hermeneutic method was used to analyse the eighteen interviews conducted with political and civil servant high level decision-makers at the municipality and county council level from two counties in Sweden. The participants worked at a planning and control as well as executive level and had both budget and quality of elder care responsibilities. Results Both ethical dilemmas and the meaning of being in ethically difficult situations related to elder care were revealed. No differences were seen between the politicians and the civil servants. The ethical dilemmas mostly concerned dealings with extensive care needs and working with a limited budget. The dilemmas were associated with a lack of good care and a lack of agreement concerning care such as vulnerable patients in inappropriate care settings, weaknesses in medical support, dissimilar focuses between the caring systems, justness in the distribution of care and deficient information. Being in ethically difficult situations was challenging. Associated with them were experiences of being exposed, having to be strategic and living with feelings such as aloneness and loneliness, uncertainty, lack of confirmation, the risk of being threatened or becoming a scapegoat and difficult decision avoidance. Conclusion Our paper provides further insight into the ethical dilemmas and ethical challenges met by high level decision-makers', which is important since the overall responsibility for elder care that is also ethically defensible rests with them. They have power and their decisions affect many stakeholders in elder care. Our results can be used to stimulate discussions between high level decision-makers and health care professionals concerning ways of dealing with ethical issues and the necessity of structures that facilitate dealing with them. Even if the high level decision-makers have learned to live with the ethical challenges that confronted them, it was obvious that they were not free from feelings of uncertainty, frustration and loneliness. Vulnerability was revealed regarding themselves and others. Their feelings of failure indicated that they felt something was at stake for the older adults in elder care and for themselves as well, in that there was the risk that important needs would go unmet. PMID:17419880

Ethical challenges related to elder care. High level decision-makers' experiences.

PubMed

Mamhidir, Anna-Greta; Kihlgren, Mona; Sorlie, Venke

2007-04-10

Few empirical studies have been found that explore ethical challenges among persons in high public positions that are responsible for elder care. The aim of this paper was to illuminate the meaning of being in ethically difficult situations related to elder care as experienced by high level decision-makers. A phenomenological-hermeneutic method was used to analyse the eighteen interviews conducted with political and civil servant high level decision-makers at the municipality and county council level from two counties in Sweden. The participants worked at a planning and control as well as executive level and had both budget and quality of elder care responsibilities. Both ethical dilemmas and the meaning of being in ethically difficult situations related to elder care were revealed. No differences were seen between the politicians and the civil servants. The ethical dilemmas mostly concerned dealings with extensive care needs and working with a limited budget. The dilemmas were associated with a lack of good care and a lack of agreement concerning care such as vulnerable patients in inappropriate care settings, weaknesses in medical support, dissimilar focuses between the caring systems, justness in the distribution of care and deficient information. Being in ethically difficult situations was challenging. Associated with them were experiences of being exposed, having to be strategic and living with feelings such as aloneness and loneliness, uncertainty, lack of confirmation, the risk of being threatened or becoming a scapegoat and difficult decision avoidance. Our paper provides further insight into the ethical dilemmas and ethical challenges met by high level decision-makers', which is important since the overall responsibility for elder care that is also ethically defensible rests with them. They have power and their decisions affect many stakeholders in elder care. Our results can be used to stimulate discussions between high level decision-makers and health care professionals concerning ways of dealing with ethical issues and the necessity of structures that facilitate dealing with them. Even if the high level decision-makers have learned to live with the ethical challenges that confronted them, it was obvious that they were not free from feelings of uncertainty, frustration and loneliness. Vulnerability was revealed regarding themselves and others. Their feelings of failure indicated that they felt something was at stake for the older adults in elder care and for themselves as well, in that there was the risk that important needs would go unmet.

Navigating the boundary of science for decision making at the state and local level

NASA Astrophysics Data System (ADS)

Gonzales, L. M.; Wood, C.; Boland, M. A.; Rose, C. A.

2015-12-01

Scientific information should play a vital role in many decision making processes, yet issues incorporating geoscience information often arise due to inherent differences between how scientists and decision makers operate. Decision makers and scientists have different priorities, produce work at different rates, and often lack an understanding of each others' institutional constraints. Boundary organizations, entities that facilitate collaboration and information flow across traditional boundaries such as that between scientists and decision makers, are in a unique position to improve the dialogue between disparate groups. The American Geosciences Institute (AGI), a nonprofit federation of 50 geoscience societies and organizations, is linking the geoscience and decision-making communities through its Critical Issues Program. AGI's Critical Issues program has first-hand experience in improving the transfer of information across the science-decision making boundary, particularly in areas pertaining to water resources and hazards. This presentation will focus on how, by collaborating with organizations representing the decision making and geoscience communities to inform our program development, we have created our three main content types - website, webinar series, and research database - to better meet the needs of the decision-making process. The program presents existing geoscience information in a way that makes the interconnected nature of geoscience topics more easily understood, encourages discussion between the scientific and decision-making communities, and has established a trusted source of impartial geoscience information. These efforts have focused on state and local decision makers—groups that increasingly influence climate and risk-related decisions, yet often lack the resources to access and understand geoscience information.

The Assisted Decision-Making (Capacity) Act 2015: what it is and why it matters.

PubMed

Kelly, B D

2017-05-01

Ireland's Assisted Decision-Making (Capacity) Act 2015 was signed by President Higgins in December 2015 and scheduled for commencement in 2016. To explore the content and implications of the 2015 Act. Review of the 2015 Act and related literature. The 2015 Act places the "will and preferences" of persons with impaired mental capacity at the heart of decision-making relating to "personal welfare" (including healthcare) and "property and affairs". Capacity is to be "construed functionally" and interventions must be "for the benefit of the relevant person". The Act outlines three levels of decision-making assistance: "decision-making assistant", "co-decision-maker" (joint decision-maker) and "decision-making representative" (substitute decision-maker). There are procedures relating to "enduring power of attorney" and "advance healthcare directives"; in the case of the latter, a "refusal of treatment" can be legally binding, while a "request for a specific treatment" must "be taken into consideration". The 2015 Act is considerably more workable than the 2013 Bill that preceded it. Key challenges include the subtle decision-making required by patients, healthcare staff, Circuit Court judges and the director of the Decision Support Service; implementation of "advance healthcare directives", especially if they do not form part of a broader model of advance care planning (incorporating the flexibility required for unpredictable future circumstances); and the over-arching issue of logistics, as very many healthcare decisions are currently made in situations where the patient's capacity is impaired. A key challenge will lie in balancing the emphasis on autonomy with principles of beneficence, mutuality and care.

78 FR 49311 - Self-Regulatory Organizations; International Securities Exchange, LLC; Order Approving Proposed...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-13

... to provide market makers with a risk management tool to assist managing the financial exposure of... the management of financial risk exposure could enable market makers to enter quotations with larger... Maker Risk Parameters and Complex Orders August 7, 2013. I. Introduction On June 5, 2013, the...

Fidelity to a behavioral intervention to improve goals of care decisions for nursing home residents with advanced dementia.

PubMed

Hanson, Laura C; Song, Mi-Kyung; Zimmerman, Sheryl; Gilliam, Robin; Rosemond, Cherie; Chisholm, Latarsha; Lin, Feng-Chang

2016-12-01

Ensuring fidelity to a behavioral intervention implemented in nursing homes requires awareness of the unique considerations of this setting for research. The purpose of this article is to describe the goals of care cluster-randomized trial and the methods used to monitor and promote fidelity to a goals of care decision aid intervention delivered in nursing homes. The cluster randomized trial tested whether a decision aid for goals of care in advanced dementia could improve (1) the quality of communication and decision-making, (2) the quality of palliative care, and (3) the quality of dying for nursing home residents with advanced dementia. In 11 intervention nursing homes, family decision-makers for residents with advanced dementia received a two-component intervention: viewing a video decision aid about goals of care choices and then participating in a structured decision-making discussion with the nursing home care plan team, ideally within 3 months after the decision aid was viewed. Following guidelines from the National Institutes of Health Behavior Change Consortium, fidelity was assessed in study design, in nursing home staff training for intervention implementation, and in monitoring and receipt of the intervention. We also monitored the content and timing of goals of care discussions. Investigators enrolled 151 family decision-maker/resident dyads in intervention sites; of those, 136 (90%) received both components of the intervention, and 92%-99% of discussions addressed each of four recommended content areas-health status, goals of care, choice of a goal, and treatment planning. A total of 94 (69%) of the discussions between family decision-makers and the nursing home care team were completed within 3 months. The methods we used for intervention fidelity allowed nursing home staff to implement a goals of care decision aid intervention for advanced dementia. Key supports for implementation included design features that aligned with nursing home practice, efficient staff training, and a structured guide for goals of care discussions between family decision-makers and staff. These approaches may be used to promote fidelity to behavioral interventions in future clinical trials. © The Author(s) 2016.

A health impact assessment of proposed public transportation service cuts and fare increases in Boston, Massachusetts (U.S.A.).

PubMed

James, Peter; Ito, Kate; Buonocore, Jonathan J; Levy, Jonathan I; Arcaya, Mariana C

2014-08-07

Transportation decisions have health consequences that are often not incorporated into policy-making processes. Health Impact Assessment (HIA) is a process that can be used to evaluate health effects of transportation policy. We present a rapid HIA, conducted over eight weeks, evaluating health and economic effects of proposed fare increases and service cuts to Boston, Massachusetts' public transportation system. We used transportation modeling in concert with tools allowing for quantification and monetization of multiple pathways. We estimated health and economic costs of proposed public transportation system changes to be hundreds of millions of dollars per year, exceeding the budget gap the public transportation authority was required to close. Significant health pathways included crashes, air pollution, and physical activity. The HIA enabled stakeholders to advocate for more modest fare increases and service cuts, which were eventually adopted by decision makers. This HIA was among the first to quantify and monetize multiple pathways linking transportation decisions with health and economic outcomes, using approaches that could be applied in different settings. Including health costs in transportation decisions can lead to policy choices with both economic and public health benefits.

A Health Impact Assessment of Proposed Public Transportation Service Cuts and Fare Increases in Boston, Massachusetts (U.S.A.)

PubMed Central

James, Peter; Ito, Kate; Buonocore, Jonathan J.; Levy, Jonathan I.; Arcaya, Mariana C.

2014-01-01

Transportation decisions have health consequences that are often not incorporated into policy-making processes. Health Impact Assessment (HIA) is a process that can be used to evaluate health effects of transportation policy. We present a rapid HIA, conducted over eight weeks, evaluating health and economic effects of proposed fare increases and service cuts to Boston, Massachusetts’ public transportation system. We used transportation modeling in concert with tools allowing for quantification and monetization of multiple pathways. We estimated health and economic costs of proposed public transportation system changes to be hundreds of millions of dollars per year, exceeding the budget gap the public transportation authority was required to close. Significant health pathways included crashes, air pollution, and physical activity. The HIA enabled stakeholders to advocate for more modest fare increases and service cuts, which were eventually adopted by decision makers. This HIA was among the first to quantify and monetize multiple pathways linking transportation decisions with health and economic outcomes, using approaches that could be applied in different settings. Including health costs in transportation decisions can lead to policy choices with both economic and public health benefits. PMID:25105550

Arctic Indicators of Change

NASA Astrophysics Data System (ADS)

Stanitski, D.; Druckenmiller, M.; Fetterer, F. M.; Gerst, M.; Intrieri, J. M.; Kenney, M. A.; Meier, W.; Overland, J. E.; Stroeve, J. C.; Trainor, S.

2016-12-01

The Arctic is undergoing unprecedented change. Indicators of change enable better decision-making at the community to policy levels. The results presented here focus on a subset of physical, biological, societal, and economic indicators of Arctic change recommended in one of a group of papers emanating from the earlier National Climate Indicators System (NCIS) work led by Kenney et al. (2016). The intent of the NCIS was to establish a "system of physical, natural, and societal indicators that communicate and inform decisions about key aspects of the physical climate, climate impacts, vulnerabilities, and preparedness" in support of the sustained U.S. National Climate Assessment. Our analysis, guided by a tailored selection and recommendation criteria, resulted in a list of "existing" indicators, as well as those "in development", "recommended", and "aspirational". A goal of this effort is to identify a set of both lagging and leading indicators that is based on reliable and sustained data sources with known user communities. We intend for these indicators to guide decision-makers in their responses to climate change, and ideally help inform decisions of groups like the Arctic Council and U.S. Global Change Research Program (USGCRP) as they develop plans and priorities.

Foundations Invest In Environmental Health.

PubMed

Sessions, Kathryn; Fortunato, Karla; Johnson, Philip R S; Panek, Amy

2016-11-01

Nearly one in four deaths globally are due to environmental hazards such as air and water pollution, according to the World Health Organization. However, knowledge about how the environment affects health and health equity outcomes has not been well integrated into decisions that shape the conditions in which people live, work, and play. To address this challenge, US foundations have invested millions of dollars to make it easier to incorporate environmental health information into decisions ranging from family purchases and governmental policy making to business, medical, and other professional practices. This article summarizes grant making aimed at improving environmental conditions to improve health and health equity outcomes. We provide examples of environmental health grants that focus on tools that the public, policy makers, and professionals can use in making decisions. We found that the investment in and attention to environmental factors, including in work addressing social determinants of health, have been insufficient to realize the potential for reducing negative environmental impacts on health and health disparities. We argue that the grant making highlighted here has increased knowledge that could enable more widespread consideration of environmental health in many decisions, with positive effects on health and health equity. Project HOPE—The People-to-People Health Foundation, Inc.

Risk perception & strategic decision making :general insights, a framework, and specific application to electricity generation using nuclear energy.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brewer, Jeffrey D.

The objective of this report is to promote increased understanding of decision making processes and hopefully to enable improved decision making regarding high-consequence, highly sophisticated technological systems. This report brings together insights regarding risk perception and decision making across domains ranging from nuclear power technology safety, cognitive psychology, economics, science education, public policy, and neural science (to name a few). It forms them into a unique, coherent, concise framework, and list of strategies to aid in decision making. It is suggested that all decision makers, whether ordinary citizens, academics, or political leaders, ought to cultivate their abilities to separate themore » wheat from the chaff in these types of decision making instances. The wheat includes proper data sources and helpful human decision making heuristics; these should be sought. The chaff includes ''unhelpful biases'' that hinder proper interpretation of available data and lead people unwittingly toward inappropriate decision making ''strategies''; obviously, these should be avoided. It is further proposed that successfully accomplishing the wheat vs. chaff separation is very difficult, yet tenable. This report hopes to expose and facilitate navigation away from decision-making traps which often ensnare the unwary. Furthermore, it is emphasized that one's personal decision making biases can be examined, and tools can be provided allowing better means to generate, evaluate, and select among decision options. Many examples in this report are tailored to the energy domain (esp. nuclear power for electricity generation). The decision making framework and approach presented here are applicable to any high-consequence, highly sophisticated technological system.« less

A rough set approach for determining weights of decision makers in group decision making

PubMed Central

Yang, Qiang; Du, Ping-an; Wang, Yong; Liang, Bin

2017-01-01

This study aims to present a novel approach for determining the weights of decision makers (DMs) based on rough group decision in multiple attribute group decision-making (MAGDM) problems. First, we construct a rough group decision matrix from all DMs’ decision matrixes on the basis of rough set theory. After that, we derive a positive ideal solution (PIS) founded on the average matrix of rough group decision, and negative ideal solutions (NISs) founded on the lower and upper limit matrixes of rough group decision. Then, we obtain the weight of each group member and priority order of alternatives by using relative closeness method, which depends on the distances from each individual group member’ decision to the PIS and NISs. Through comparisons with existing methods and an on-line business manager selection example, the proposed method show that it can provide more insights into the subjectivity and vagueness of DMs’ evaluations and selections. PMID:28234974

Use of Lean response to improve pandemic influenza surge in public health laboratories.

PubMed

Isaac-Renton, Judith L; Chang, Yin; Prystajecky, Natalie; Petric, Martin; Mak, Annie; Abbott, Brendan; Paris, Benjamin; Decker, K C; Pittenger, Lauren; Guercio, Steven; Stott, Jeff; Miller, Joseph D

2012-01-01

A novel influenza A (H1N1) virus detected in April 2009 rapidly spread around the world. North American provincial and state laboratories have well-defined roles and responsibilities, including providing accurate, timely test results for patients and information for regional public health and other decision makers. We used the multidisciplinary response and rapid implementation of process changes based on Lean methods at the provincial public health laboratory in British Columbia, Canada, to improve laboratory surge capacity in the 2009 influenza pandemic. Observed and computer simulating evaluation results from rapid processes changes showed that use of Lean tools successfully expanded surge capacity, which enabled response to the 10-fold increase in testing demands.

Study on Web-Based Tool for Regional Agriculture Industry Structure Optimization Using Ajax

NASA Astrophysics Data System (ADS)

Huang, Xiaodong; Zhu, Yeping

According to the research status of regional agriculture industry structure adjustment information system and the current development of information technology, this paper takes web-based regional agriculture industry structure optimization tool as research target. This paper introduces Ajax technology and related application frameworks to build an auxiliary toolkit of decision support system for agricultural policy maker and economy researcher. The toolkit includes a “one page” style component of regional agriculture industry structure optimization which provides agile arguments setting method that enables applying sensitivity analysis and usage of data and comparative advantage analysis result, and a component that can solve the linear programming model and its dual problem by simplex method.

User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Adams, Brian M.; Coleman, Kayla; Hooper, Russell

2016-11-01

Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically, it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to enhance understanding of risk, improve products, and assess simulation credibility. This manual offers Consortium for Advanced Simulation of Light Water Reactors (LWRs) (CASL) partners a guide to conducting Dakota-based VUQ studies for CASL problems. It motivates various classes of Dakota methods and includes examples of their use on representative application problems. On reading, a CASL analyst should understand why and howmore » to apply Dakota to a simulation problem.« less

Overcoming Indecision by Changing the Decision Boundary

PubMed Central

2017-01-01

The dominant theoretical framework for decision making asserts that people make decisions by integrating noisy evidence to a threshold. It has recently been shown that in many ecologically realistic situations, decreasing the decision boundary maximizes the reward available from decisions. However, empirical support for decreasing boundaries in humans is scant. To investigate this problem, we used an ideal observer model to identify the conditions under which participants should change their decision boundaries with time to maximize reward rate. We conducted 6 expanded-judgment experiments that precisely matched the assumptions of this theoretical model. In this paradigm, participants could sample noisy, binary evidence presented sequentially. Blocks of trials were fixed in duration, and each trial was an independent reward opportunity. Participants therefore had to trade off speed (getting as many rewards as possible) against accuracy (sampling more evidence). Having access to the actual evidence samples experienced by participants enabled us to infer the slope of the decision boundary. We found that participants indeed modulated the slope of the decision boundary in the direction predicted by the ideal observer model, although we also observed systematic deviations from optimality. Participants using suboptimal boundaries do so in a robust manner, so that any error in their boundary setting is relatively inexpensive. The use of a normative model provides insight into what variable(s) human decision makers are trying to optimize. Furthermore, this normative model allowed us to choose diagnostic experiments and in doing so we present clear evidence for time-varying boundaries. PMID:28406682

Expanding Health Technology Assessments to Include Effects on the Environment.

PubMed

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.

Evolutionary Agent-based Models to design distributed water management strategies

NASA Astrophysics Data System (ADS)

Giuliani, M.; Castelletti, A.; Reed, P. M.

2012-12-01

There is growing awareness in the scientific community that the traditional centralized approach to water resources management, as described in much of the water resources literature, provides an ideal optimal solution, which is certainly useful to quantify the best physically achievable performance, but is generally inapplicable. Most real world water resources management problems are indeed characterized by the presence of multiple, distributed and institutionally-independent decision-makers. Multi-Agent Systems provide a potentially more realistic alternative framework to model multiple and self-interested decision-makers in a credible context. Each decision-maker can be represented by an agent who, being self-interested, acts according to local objective functions and produces negative externalities on system level objectives. Different levels of coordination can potentially be included in the framework by designing coordination mechanisms to drive the current decision-making structure toward the global system efficiency. Yet, the identification of effective coordination strategies can be particularly complex in modern institutional contexts and current practice is dependent on largely ad-hoc coordination strategies. In this work we propose a novel Evolutionary Agent-based Modeling (EAM) framework that enables a mapping of fully uncoordinated and centrally coordinated solutions into their relative "many-objective" tradeoffs using multiobjective evolutionary algorithms. Then, by analysing the conflicts between local individual agent and global system level objectives it is possible to more fully understand the causes, consequences, and potential solution strategies for coordination failures. Game-theoretic criteria have value for identifying the most interesting alternatives from a policy making point of view as well as the coordination mechanisms that can be applied to obtain these interesting solutions. The proposed approach is numerically tested on a synthetic case study, representing a Y-shaped system composed by two regulated lakes, whose releases merge just upstream of a city. Each reservoir is operated by an agent in order to prevent floods along the lake shores (local objective). However, the optimal operation of the reservoirs with respect to the local objectives is conflicting with the minimization of floods in the city (global objective). The evolution of the Agent-based Model from individualistic management strategies of the reservoirs toward a global compromise that reduces the costs for the city is analysed.

"Climate Matters Documoments": Enabling Regionally-Specific Climate Awareness

NASA Astrophysics Data System (ADS)

Keener, V. W.; Finucane, M.

2012-12-01

The Pacific Regional Integrated Sciences & Assessments (RISA) is a multidisciplinary program that enhances the ability of Pacific Island communities to understand, plan for, and adapt to climate-induced change. Using both social and physical science research methods, the Pacific RISA engages a network of regional decision-makers and stakeholders to help solve climate-related issues. Pacific RISA has a broad audience of local and regional decision-makers (i.e. natural resource managers, community planners, state and federal government agencies) and stakeholders (i.e. farmers and ranchers, fishermen, community and native islander groups). The RISA program engages with this audience through a mixed-method approach of two-way communication, including one-on-one interviews, workshops, consensus discussions and public presentations that allow us to tailor our efforts to the needs of specific stakeholders. A recent Pacific RISA project was the creation and production of four short, educational "documoment" videos that explore the different ways in which climate change in Hawaii affects stakeholders from different sectors. The documoments, generally titled "Climate Matters", start with a quote about why climate matters to each stakeholder: a rancher, a coastal hotel owner, the manager of a landfill, and the local branch of the National Weather Service. The narratives then have each stakeholder discussing how climate impacts their professional and personal lives, and describing the types of climate change they have experienced in the islands. Each video ends with a technical fact about how different climate variables in Hawaii (sea level, precipitation, ENSO) have actually changed within the last century of observational data. Freely available on www.PacificRISA.org, the Documoments have been viewed over 350 times, and have inspired similar video projects and received positive attention from different audiences of stakeholders and scientists. In other assessment work the Pacific RISA has done, we found that many stakeholders who regularly make climate sensitive decisions do not always realize it. By viewing videos like the Climate Matters Documoments, it may help a wide variety of community stakeholders and natural resource decision makers realize the myriad ways in which climate change affects their communities and jobs. In addition, when viewed outside of the Pacific Islands region, the different stories told in the Documoments help foster a greater understanding of the unique climate-related issues faced within the Hawaiian Islands.

Use of Inverse Reinforcement Learning for Identity Prediction

NASA Technical Reports Server (NTRS)

Hayes, Roy; Bao, Jonathan; Beling, Peter; Horowitz, Barry

2011-01-01

We adopt Markov Decision Processes (MDP) to model sequential decision problems, which have the characteristic that the current decision made by a human decision maker has an uncertain impact on future opportunity. We hypothesize that the individuality of decision makers can be modeled as differences in the reward function under a common MDP model. A machine learning technique, Inverse Reinforcement Learning (IRL), was used to learn an individual's reward function based on limited observation of his or her decision choices. This work serves as an initial investigation for using IRL to analyze decision making, conducted through a human experiment in a cyber shopping environment. Specifically, the ability to determine the demographic identity of users is conducted through prediction analysis and supervised learning. The results show that IRL can be used to correctly identify participants, at a rate of 68% for gender and 66% for one of three college major categories.

Fairness and legitimacy of decisions during delivery of malaria services and ITN interventions in Zambia.

PubMed

Tuba, Mary; Sandoy, Ingvild F; Bloch, Paul; Byskov, Jens

2010-11-01

Malaria is the leading cause of morbidity and the second leading cause of mortality in Zambia. Perceptions of fairness and legitimacy of decisions relating to treatment of malaria cases within public health facilities and distribution of ITNs were assessed in a district in Zambia. The study was conducted within the framework of REsponse to ACcountable priority setting for Trust in health systems (REACT), a north-south collaborative action research study, which evaluates the Accountability for Reasonableness (AFR) approach to priority setting in Zambia, Tanzania and Kenya. This paper is based on baseline in-depth interviews (IDIs) conducted with 38 decision-makers, who were involved in prioritization of malaria services and ITN distribution at district, facility and community levels in Zambia, one Focus Group Discussion (FGD) with District Health Management Team managers and eight FGDs with outpatients' attendees. Perceptions and attitudes of providers and users and practices of providers were systematized according to the four AFR conditions relevance, publicity, appeals and leadership. Conflicting criteria for judging fairness were used by decision-makers and patients. Decision-makers argued that there was fairness in delivery of malaria treatment and distribution of ITNs based on alleged excessive supply of free malaria medicines, subsidized ITNs, and presence of a qualified health-provider in every facility. Patients argued that there was unfairness due to differences in waiting time, distances to health facilities, erratic supply of ITNs, no responsive appeal mechanisms, inadequate access to malaria medicines, ITNs and health providers, and uncaring providers. Decision-makers only perceived government bodies and donors/NGOs to be legitimate stakeholders to involve during delivery. Patients found government bodies, patients, indigenous healers, chiefs and politicians to be legitimate stakeholders during both planning and delivery. Poor status of the AFR conditions of relevance, publicity, appeals and leadership corresponds well to the differing perceptions of fairness and unfairness among outpatient attendees and decision-makers. This may have been re-enforced by existing disagreements between the two groups regarding who the legitimate stakeholders to involve during service delivery were. Conflicts identified in this study could be resolved by promoting application of approaches such as AFR during priority setting in the district.

Multiple-attribute group decision making with different formats of preference information on attributes.

PubMed

Xu, Zeshui

2007-12-01

Interval utility values, interval fuzzy preference relations, and interval multiplicative preference relations are three common uncertain-preference formats used by decision-makers to provide their preference information in the process of decision making under fuzziness. This paper is devoted in investigating multiple-attribute group-decision-making problems where the attribute values are not precisely known but the value ranges can be obtained, and the decision-makers provide their preference information over attributes by three different uncertain-preference formats i.e., 1) interval utility values; 2) interval fuzzy preference relations; and 3) interval multiplicative preference relations. We first utilize some functions to normalize the uncertain decision matrix and then transform it into an expected decision matrix. We establish a goal-programming model to integrate the expected decision matrix and all three different uncertain-preference formats from which the attribute weights and the overall attribute values of alternatives can be obtained. Then, we use the derived overall attribute values to get the ranking of the given alternatives and to select the best one(s). The model not only can reflect both the subjective considerations of all decision-makers and the objective information but also can avoid losing and distorting the given objective and subjective decision information in the process of information integration. Furthermore, we establish some models to solve the multiple-attribute group-decision-making problems with three different preference formats: 1) utility values; 2) fuzzy preference relations; and 3) multiplicative preference relations. Finally, we illustrate the applicability and effectiveness of the developed models with two practical examples.

How to pose the question matters: Behavioural Economics concepts in decision making on the basis of ensemble forecasts

NASA Astrophysics Data System (ADS)

Alfonso, Leonardo; van Andel, Schalk Jan

2014-05-01

Part of recent research in ensemble and probabilistic hydro-meteorological forecasting analyses which probabilistic information is required by decision makers and how it can be most effectively visualised. This work, in addition, analyses if decision making in flood early warning is also influenced by the way the decision question is posed. For this purpose, the decision-making game "Do probabilistic forecasts lead to better decisions?", which Ramos et al (2012) conducted at the EGU General Assembly 2012 in the city of Vienna, has been repeated with a small group and expanded. In that game decision makers had to decide whether or not to open a flood release gate, on the basis of flood forecasts, with and without uncertainty information. A conclusion of that game was that, in the absence of uncertainty information, decision makers are compelled towards a more risk-averse attitude. In order to explore to what extent the answers were driven by the way the questions were framed, in addition to the original experiment, a second variant was introduced where participants were asked to choose between a sure value (for either loosing or winning with a giving probability) and a gamble. This set-up is based on Kahneman and Tversky (1979). Results indicate that the way how the questions are posed may play an important role in decision making and that Prospect Theory provides promising concepts to further understand how this works.

A Comparison of Computational Cognitive Models: Agent-Based Systems Versus Rule-Based Architectures

DTIC Science & Technology

2003-03-01

Java™ How To Program , Prentice Hall, 1999. Friedman-Hill, E., Jess, The Expert System Shell for the Java Platform, Sandia National Laboratories, 2001...transition from the descriptive NDM theory to a computational model raises several questions: Who is an experienced decision maker? How do you model the...progression from being a novice to an experienced decision maker? How does the model account for previous experiences? Are there situations where

[The influence of the relationship between physicians and pharmaceutical companies on the patient from the point of view of policy-makers in Israel].

PubMed

Nissanholtz-Gannot, Rachel; Shani, Segev; Shvarts, Shifra

2010-11-01

The relationship between doctors and pharmaceutical companies is an integral part of the health system in Israel and the whole world. The mutual need for such a relationship requires us, as a society, to examine its influence on the individual and the system as a whole. This research examines the relationship from the points of view of the relevant parties within the health system and outside the health system (decision-makers). The authors used in-depth interviews and qualitative research methods in order to examine and understand the various positions of decision-makers. The position of the decision-makers, regarding all the aspects of this relationship, expresses their wishes and depends on their point of view. The impact of the relationship between the doctors and the pharmaceutical companies was examined with regard to the prescription behavior of the doctor. All the government representatives, all the physicians' representatives and those of the health funds, believe that the physicians' prescription behavior is impacted by the relationship. There are those who perceive this to be a negative trend and some doctors believe it to be a positive trend. With regard to possible harm to the patient, the parties believe that the relationship does not harm the patient, whereas most of the government representatives identify harm to the patients, both on the economic and health levels. The authors believe that the "influence" which exists or could exist on the part of the pharmaceutical companies is the main stumbling block in this relationship, which is expressed in the decision-makers' perspective.

The marketing activities of hospitals: environmental, organizational, and managerial influences.

PubMed

Myrtle, R C; Martinez, C F

1991-03-01

This article reports the results of a study designed to examine the relationship of environmental, organizational and structural factors, perceptions of key decision makers about competitive conditions, and changes in operational performance with the level of the marketing activities engaged in by 145 California hospitals. Measures assessing the impact of environmental conditions and the perception of the key decision makers were found to be related to the marketing activities of the organization. However, the relationship between measures which examined the structural and performance impacts on the marketing activities did not demonstrate the same predictive ability. The results suggest that marketing activities were affected by the key decision maker's assessment of the competitive nature of the environment, influence of key stakeholders, and tangible changes in the organization's task environment. Performance and other measures were not found to be as influential in determining these activities.

Conceptual framework for nutrition surveillance systems.

PubMed

Mock, N B; Bertrand, W E

1993-01-01

This article describes the evolution of nutrition surveillance as an intervention strategy and presents a framework for improving the usefulness of nutrition surveillance programs. It seems clear that such programs' impact on nutritional well-being will depend increasingly on their ability to reach and influence decision-makers. Therefore, it is important to consider political and social forces, and also to realize that if a program is too decentralized or too far removed from key decision-makers, its ability to influence resource flows may be limited. It is of course important that the surveillance information provided be appropriate and of good quality. Therefore, the data collected should be analyzed to ensure they are accurate and representative. Once that has been done, relevant findings should be presented in a readily understandable form designed to meet the intended recipients' information needs. Such findings should also be disseminated to all important decision-maker constituencies, including external donors of nutrition assistance and the general public.

Science to support the understanding of Ohio's water resources, 2014-15

USGS Publications Warehouse

Shaffer, Kimberly; Kula, Stephanie P.

2014-01-01

The U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as universities, to furnish decision makers, policy makers, USGS scientists, and the general public with reliable scientific information and tools to assist them in management, stewardship, and use of Ohio’s natural resources. The diversity of scientific expertise among USGS personnel enables them to carry out large- and small-scale multidisciplinary studies. The USGS is unique among government organizations because it has neither regulatory nor developmental authority—its sole product is impartial, credible, relevant, and timely scientific information, equally accessible and available to everyone. The USGS Ohio Water Science Center provides reliable hydrologic and water-related ecological information to aid in the understanding of the use and management of the Nation’s water resources, in general, and Ohio’s water resources, in particular. This fact sheet provides an overview of current (2014) or recently completed USGS studies and data activities pertaining to water resources in Ohio. More information regarding projects of the USGS Ohio Water Science Center is available at http://oh.water.usgs.gov/.

36 CFR 907.14 - Corporation decision making procedures.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 36 Parks, Forests, and Public Property 3 2010-07-01 2010-07-01 false Corporation decision making... CORPORATION ENVIRONMENTAL QUALITY § 907.14 Corporation decision making procedures. To ensure that at major decision making points all relevant environmental concerns are considered by the Decision Maker, the...

Decision Support | Solar Research | NREL

Science.gov Websites

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

Culture, intangibles and metrics in environmental management.

PubMed

Satterfield, Terre; Gregory, Robin; Klain, Sarah; Roberts, Mere; Chan, Kai M

2013-03-15

The demand for better representation of cultural considerations in environmental management is increasingly evident. As two cases in point, ecosystem service approaches increasingly include cultural services, and resource planners recognize indigenous constituents and the cultural knowledge they hold as key to good environmental management. Accordingly, collaborations between anthropologists, planners, decision makers and biodiversity experts about the subject of culture are increasingly common-but also commonly fraught. Those whose expertise is culture often engage in such collaborations because they worry a practitioner from 'elsewhere' will employ a 'measure of culture' that is poorly or naively conceived. Those from an economic or biophysical training must grapple with the intangible properties of culture as they intersect with economic, biological or other material measures. This paper seeks to assist those who engage in collaborations to characterize cultural benefits or impacts relevant to decision-making in three ways; by: (i) considering the likely mindset of would-be collaborators; (ii) providing examples of tested approaches that might enable innovation; and (iii) characterizing the kinds of obstacles that are in principle solvable through methodological alternatives. We accomplish these tasks in part by examining three cases wherein culture was a critical variable in environmental decision making: risk management in New Zealand associated with Māori concerns about genetically modified organisms; cultural services to assist marine planning in coastal British Columbia; and a decision-making process involving a local First Nation about water flows in a regulated river in western Canada. We examine how 'culture' came to be manifest in each case, drawing from ethnographic and cultural-models interviews and using subjective metrics (recommended by theories of judgment and decision making) to express cultural concerns. We conclude that the characterization of cultural benefits and impacts is least amenable to methodological solution when prevailing cultural worldviews contain elements fundamentally at odds with efforts to quantify benefits/impacts, but that even in such cases some improvements are achievable if decision-makers are flexible regarding processes for consultation with community members and how quantification is structured. Crown Copyright © 2012. Published by Elsevier Ltd. All rights reserved.

MED SUV TASK 6.3 Capacity building and interaction with decision makers: Improving volcanic risk communication through volcanic hazard tools evaluation, Campi Flegrei Caldera case study (Italy)

NASA Astrophysics Data System (ADS)

Nave, Rosella; Isaia, Roberto; Sandri, Laura; Cristiani, Chiara

2016-04-01

In the communication chain between scientists and decision makers (end users), scientific outputs, as maps, are a fundamental source of information on hazards zoning and the related at risk areas definition. Anyway the relationship between volcanic phenomena, their probability and potential impact can be complex and the geospatial information not easily decoded or understood by not experts even if decision makers. Focusing on volcanic hazard the goal of MED SUV WP6 Task 3 is to improve the communication efficacy of scientific outputs, to contribute in filling the gap between scientists and decision-makers. Campi Flegrei caldera, in Neapolitan area has been chosen as the pilot research area where to apply an evaluation/validation procedure to provide a robust evaluation of the volcanic maps and its validation resulting from end users response. The selected sample involved are decision makers and officials from Campanian Region Civil Protection and municipalities included in Campi Flegrei RED ZONE, the area exposed to risk from to pyroclastic currents hazard. Semi-structured interviews, with a sample of decision makers and civil protection officials have been conducted to acquire both quantitative and qualitative data. The tested maps have been: the official Campi Flegrei Caldera RED ZONE map, three maps produced by overlapping the Red Zone limit on Orthophoto, DTM and Contour map, as well as other maps included a probabilistic one, showing volcanological data used to border the Red Zone. The outcomes' analysis have assessed level of respondents' understanding of content as displayed, and their needs in representing the complex information embedded in volcanic hazard. The final output has been the development of a leaflet as "guidelines" that can support decision makers and officials in understanding volcanic hazard and risk maps, and also in using them as a communication tool in information program for the population at risk. The same evaluation /validation process has been applied also on the scientific output of MED-SUV WP6, as a tool for the short-term probabilistic volcanic hazard assessment. For the Campi Flegrei volcanic system, the expected tool has been implemented to compute hazard curves, hazard maps and probability maps for tephra fallout on a target grid covering the Campania region. This allows the end user to visualize the hazard from tephra fallout and its uncertainty. The response of end-users to such products will help to determine to what extent end-users understand them, find them useful, and match their requirements. In order to involve also Etna area in WP6 TASK 3 activities, a questionnaire developed in the VUELCO project (Volcanic Unrest in Europe and Latin America) has been proposed to Sicily Civil Protection officials having decision-making responsibility in case of volcanic unrest at Etna and Stromboli, to survey their opinions and requirements also in case of volcanic unrest

Gender inequalities in the workplace: the effects of organizational structures, processes, practices, and decision makers' sexism.

PubMed

Stamarski, Cailin S; Son Hing, Leanne S

2015-01-01

Gender inequality in organizations is a complex phenomenon that can be seen in organizational structures, processes, and practices. For women, some of the most harmful gender inequalities are enacted within human resources (HRs) practices. This is because HR practices (i.e., policies, decision-making, and their enactment) affect the hiring, training, pay, and promotion of women. We propose a model of gender discrimination in HR that emphasizes the reciprocal nature of gender inequalities within organizations. We suggest that gender discrimination in HR-related decision-making and in the enactment of HR practices stems from gender inequalities in broader organizational structures, processes, and practices. This includes leadership, structure, strategy, culture, organizational climate, as well as HR policies. In addition, organizational decision makers' levels of sexism can affect their likelihood of making gender biased HR-related decisions and/or behaving in a sexist manner while enacting HR practices. Importantly, institutional discrimination in organizational structures, processes, and practices play a pre-eminent role because not only do they affect HR practices, they also provide a socializing context for organizational decision makers' levels of hostile and benevolent sexism. Although we portray gender inequality as a self-reinforcing system that can perpetuate discrimination, important levers for reducing discrimination are identified.

Social motives and strategic misrepresentation in social decision making.

PubMed

Steinel, Wolfgang; De Dreu, Carsten K W

2004-03-01

In 4 experiments, the authors studied the influence of social motives on deception and strategic misrepresentation. In a newly developed information provision game, individuals faced a decision maker whose decision would affect both own and other's outcomes. By withholding information or by giving (in)accurate information about payoffs, participants could try to influence other's decision making. Less accurate and more inaccurate information was given when the decision maker was competitive rather than cooperative (Experiment 1), especially when participants had a prosocial rather than selfish value orientation (Experiments 3 and 4). Accurate information was withheld because of fear of exploitation and greed, and inaccurate information was given because of greed (Experiment 2). Finally, participants engaged in strategic misrepresentation that may trick competitive others into damaging their own and increasing the participant's outcomes.

An Approach for Web Service Selection Based on Confidence Level of Decision Maker

PubMed Central

Khezrian, Mojtaba; Jahan, Ali; Wan Kadir, Wan Mohd Nasir; Ibrahim, Suhaimi

2014-01-01

Web services today are among the most widely used groups for Service Oriented Architecture (SOA). Service selection is one of the most significant current discussions in SOA, which evaluates discovered services and chooses the best candidate from them. Although a majority of service selection techniques apply Quality of Service (QoS), the behaviour of QoS-based service selection leads to service selection problems in Multi-Criteria Decision Making (MCDM). In the existing works, the confidence level of decision makers is neglected and does not consider their expertise in assessing Web services. In this paper, we employ the VIKOR (VIšekriterijumskoKOmpromisnoRangiranje) method, which is absent in the literature for service selection, but is well-known in other research. We propose a QoS-based approach that deals with service selection by applying VIKOR with improvement of features. This research determines the weights of criteria based on user preference and accounts for the confidence level of decision makers. The proposed approach is illustrated by an example in order to demonstrate and validate the model. The results of this research may facilitate service consumers to attain a more efficient decision when selecting the appropriate service. PMID:24897426

Use of the recognition heuristic depends on the domain's recognition validity, not on the recognition validity of selected sets of objects.

PubMed

Pohl, Rüdiger F; Michalkiewicz, Martha; Erdfelder, Edgar; Hilbig, Benjamin E

2017-07-01

According to the recognition-heuristic theory, decision makers solve paired comparisons in which one object is recognized and the other not by recognition alone, inferring that recognized objects have higher criterion values than unrecognized ones. However, success-and thus usefulness-of this heuristic depends on the validity of recognition as a cue, and adaptive decision making, in turn, requires that decision makers are sensitive to it. To this end, decision makers could base their evaluation of the recognition validity either on the selected set of objects (the set's recognition validity), or on the underlying domain from which the objects were drawn (the domain's recognition validity). In two experiments, we manipulated the recognition validity both in the selected set of objects and between domains from which the sets were drawn. The results clearly show that use of the recognition heuristic depends on the domain's recognition validity, not on the set's recognition validity. In other words, participants treat all sets as roughly representative of the underlying domain and adjust their decision strategy adaptively (only) with respect to the more general environment rather than the specific items they are faced with.

Entropy Methods For Univariate Distributions in Decision Analysis

NASA Astrophysics Data System (ADS)

Abbas, Ali E.

2003-03-01

One of the most important steps in decision analysis practice is the elicitation of the decision-maker's belief about an uncertainty of interest in the form of a representative probability distribution. However, the probability elicitation process is a task that involves many cognitive and motivational biases. Alternatively, the decision-maker may provide other information about the distribution of interest, such as its moments, and the maximum entropy method can be used to obtain a full distribution subject to the given moment constraints. In practice however, decision makers cannot readily provide moments for the distribution, and are much more comfortable providing information about the fractiles of the distribution of interest or bounds on its cumulative probabilities. In this paper we present a graphical method to determine the maximum entropy distribution between upper and lower probability bounds and provide an interpretation for the shape of the maximum entropy distribution subject to fractile constraints, (FMED). We also discuss the problems with the FMED in that it is discontinuous and flat over each fractile interval. We present a heuristic approximation to a distribution if in addition to its fractiles, we also know it is continuous and work through full examples to illustrate the approach.

When is diagnostic testing inappropriate or irrational? Acceptable regret approach.

PubMed

Hozo, Iztok; Djulbegovic, Benjamin

2008-01-01

The authors provide a new model within the framework of theories of bounded rationality for the observed physicians' behavior that their ordering of diagnostic tests may not be rational. Contrary to the prevailing thinking, the authors find that physicians do not act irrationally or inappropriately when they order diagnostic tests in usual clinical practice. When acceptable regret (i.e., regret that a decision maker finds tolerable upon making a wrong decision) is taken into account, the authors show that physicians tend to order diagnostic tests at a higher level of pretest probability of disease than predicted by expected utility theory. They also show why physicians tend to overtest when regret about erroneous decisions is extremely small. Finally, they explain variations in the practice of medicine. They demonstrate that in the same clinical situation, different decision makers might have different acceptable regret thresholds for withholding treatment, for ordering a diagnostic test, or for administering treatment. This in turn means that for some decision makers, the most rational strategy is to do nothing, whereas for others, it may be to order a diagnostic test, and still for others, choosing treatment may be the most rational course of action.

Moving the science data quality dialogue forward

NASA Astrophysics Data System (ADS)

Robinson, Erin; Meyer, Carol B.; Lenhardt, W. Christopher

2012-05-01

Federation of Earth Science Information Partners Summer 2011 Meeting; Santa Fe, New Mexico, 12-15 July 2011 Scientific data quality is important to scientists, archivists, decision makers, and the public. Uncertain quality costs valuable research dollars and has impacts beyond the initial science. The Federation of Earth Science Information Partners (ESIP) is a consortium of Earth science data and technology professionals spanning the government (NASA, National Oceanic and Atmospheric Administration, U.S. Environmental Protection Agency, U.S. Geological Survey (USGS), National Science Foundation), academia, and private sectors (both commercial and nonprofit). The organization is dedicated to transforming research data and information into useful and usable data and information products for decision makers, policy makers, and the public.

Improving IT Portfolio Management Decision Confidence Using Multi-Criteria Decision Making and Hypervariate Display Techniques

ERIC Educational Resources Information Center

Landmesser, John Andrew

2014-01-01

Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and…

HUMAN HEALTH METRICS FOR ENVIRONMENTAL DECISION SUPPORT TOOLS: LESSONS FROM HEALTH ECONOMICS AND DECISION ANALYSIS: PUBLISHED REPORT

EPA Science Inventory

NRMRL-CIN-1351A Hofstetter**, P., and Hammitt, J. K. Human Health Metrics for Environmental Decision Support Tools: Lessons from Health Economics and Decision Analysis. EPA/600/R-01/104 (NTIS PB2002-102119). Decision makers using environmental decision support tools are often ...

Who to Blame: Irrational Decision-Makers or Stupid Modelers? (Arne Richter Award for Outstanding Young Scientists Lecture)

NASA Astrophysics Data System (ADS)

Madani, Kaveh

2016-04-01

Water management benefits from a suite of modelling tools and techniques that help simplifying and understanding the complexities involved in managing water resource systems. Early water management models were mainly concerned with optimizing a single objective, related to the design, operations or management of water resource systems (e.g. economic cost, hydroelectricity production, reliability of water deliveries). Significant improvements in methodologies, computational capacity, and data availability over the last decades have resulted in developing more complex water management models that can now incorporate multiple objectives, various uncertainties, and big data. These models provide an improved understanding of complex water resource systems and provide opportunities for making positive impacts. Nevertheless, there remains an alarming mismatch between the optimal solutions developed by these models and the decisions made by managers and stakeholders of water resource systems. Modelers continue to consider decision makers as irrational agents who fail to implement the optimal solutions developed by sophisticated and mathematically rigours water management models. On the other hand, decision makers and stakeholders accuse modelers of being idealist, lacking a perfect understanding of reality, and developing 'smart' solutions that are not practical (stable). In this talk I will have a closer look at the mismatch between the optimality and stability of solutions and argue that conventional water resources management models suffer inherently from a full-cooperation assumption. According to this assumption, water resources management decisions are based on group rationality where in practice decisions are often based on individual rationality, making the group's optimal solution unstable for individually rational decision makers. I discuss how game theory can be used as an appropriate framework for addressing the irrational "rationality assumption" of water resources management models and for better capturing the social aspects of decision making in water management systems with multiple stakeholders.

Toward actionable science: Empowering ecologists to engage in the process of translation through decision-maker and stakeholder partnerships

NASA Astrophysics Data System (ADS)

Enquist, C.; Jackson, S. T.; Garfin, G. M.

2017-12-01

Translational ecology is an approach by which ecologists, stakeholders, and decision-makers work collaboratively to develop and deliver ecological research that, ideally, results in actionable science that leads to improved environmental decision-making. We analyzed a diverse array of real-world case studies and distilled six principles that characterize the practice of translational ecology: communication, commitment, collaboration, engagement, process, and decision-framing. In this talk, we highlight a subset of the case studies that illustrate these principles. Notably, we found that translational ecology is distinct from both basic and applied ecological research. As a practice, the approach deliberately extends research beyond theory or opportunistic applications, motivated by a search for outcomes that directly serve the needs of natural resource managers and decision-makers. Translational ecology is also distinct from knowledge co-production in that it does not require deep engagement between collaborators, although incorporating differing modes of co-production relative to the decision context, associated time frame, and available financial resources can greatly enhance the translational approach. Although there is a need for incentives to pursue in this type of work, we found that the creativity and context-specific knowledge of resource managers, practitioners, and decision-makers informs and enriches the scientific process, helping shape actionable science. Moreover, the process of addressing research questions arising from on-the-ground management issues, rather than from the top-down or expert-oriented perspectives of traditional science, can foster the long-term trust and commitment that is critical for long-term, sustained engagement between partners. Now, perhaps more than ever, the climate and environmental issues facing society are complex, often politicized, and value-laden. We argue that ecological science should play a key role in informing these problems and ecologists can engage as important partners committed to finding solutions. More broadly, scientists that embrace translational approaches are poised to make science-informed decision-making a reality in the face of a rapidly changing global environment.

Against all odds -- Probabilistic forecasts and decision making

NASA Astrophysics Data System (ADS)

Liechti, Katharina; Zappa, Massimiliano

2015-04-01

In the city of Zurich (Switzerland) the setting is such that the damage potential due to flooding of the river Sihl is estimated to about 5 billion US dollars. The flood forecasting system that is used by the administration for decision making runs continuously since 2007. It has a time horizon of max. five days and operates at hourly time steps. The flood forecasting system includes three different model chains. Two of those are run by the deterministic NWP models COSMO-2 and COSMO-7 and one is driven by the probabilistic NWP COSMO-Leps. The model chains are consistent since February 2010, so five full years are available for the evaluation for the system. The system was evaluated continuously and is a very nice example to present the added value that lies in probabilistic forecasts. The forecasts are available on an online-platform to the decision makers. Several graphical representations of the forecasts and forecast-history are available to support decision making and to rate the current situation. The communication between forecasters and decision-makers is quite close. To put it short, an ideal situation. However, an event or better put a non-event in summer 2014 showed that the knowledge about the general superiority of probabilistic forecasts doesn't necessarily mean that the decisions taken in a specific situation will be based on that probabilistic forecast. Some years of experience allow gaining confidence in the system, both for the forecasters and for the decision-makers. Even if from the theoretical point of view the handling during crisis situation is well designed, a first event demonstrated that the dialog with the decision-makers still lacks of exercise during such situations. We argue, that a false alarm is a needed experience to consolidate real-time emergency procedures relying on ensemble predictions. A missed event would probably also fit, but, in our case, we are very happy not to report about this option.

Decision Performance Using Spatial Decision Support Systems: A Geospatial Reasoning Ability Perspective

ERIC Educational Resources Information Center

Erskine, Michael A.

2013-01-01

As many consumer and business decision makers are utilizing Spatial Decision Support Systems (SDSS), a thorough understanding of how such decisions are made is crucial for the information systems domain. This dissertation presents six chapters encompassing a comprehensive analysis of the impact of geospatial reasoning ability on…

Decision-Making Phenomena Described by Expert Nurses Working in Urban Community Health Settings.

ERIC Educational Resources Information Center

Watkins, Mary P.

1998-01-01

Expert community health nurses (n=28) described crucial clinical situations. Content analysis revealed that decision making was both rational and intuitive. Eight themes were identified: decision-making focus, type, purpose, decision-maker characteristics, sequencing of events, data collection methods, facilitators/barriers, and decision-making…

49 CFR 1503.655 - Initial decision.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Rules of Practice in TSA Civil Penalty Actions § 1503.655 Initial decision. (a) Contents. The ALJ may... copies of that initial decision available to all parties and the TSA decision maker. (b) Written decision... ALJ is persuasive authority in any other civil penalty action, unless appealed and reversed by the TSA...

Health System Decision Makers' Feedback on Summaries and Tools Supporting the Use of Systematic Reviews: A Qualitative Study

ERIC Educational Resources Information Center

Ellen, Moriah E.; Lavis, John N.; Wilson, Michael G.; Grimshaw, Jeremy; Haynes, R. Brian; Ouimet, Mathieu; Raina, Parminder; Gruen, Russell

2014-01-01

Health system managers and policy makers need timely access to high quality, policy-relevant systematic reviews. Our objectives were to obtain managers' and policy makers' feedback about user-friendly summaries of systematic reviews and about tools related to supporting or assessing their use. Our interviews identified that participants prefer key…

Empowering Local Organizations and Decision-makers in a Changing Climate: EO-guided Environmental Surveillance of Cholera and Rotavirus for South Asia

NASA Astrophysics Data System (ADS)

Akanda, A. S.; Hasan, M. A.; Jutla, A.; Aziz, S.; Alam, M.; Ahsan, G. U.; Huq, A.; Colwell, R. R.

2017-12-01

Despite significant advancements in scientific research, diarrheal diseases remain a leading cause of mortality and morbidity in the developing world. Although under-5 child mortality due to such diseases is dropping, prevalence of most diarrheal diseases has increased over past decades, exerting a terrible toll on global public health. Providing safe water and sanitation access, and a safe and clean environment in a sustainable manner remains a critical challenge in the face of rapid population growth, urbanization and increasing threats of natural hazards in a changing climate. We focus on the Bengal Delta region of South Asia, where Cholera and Rotavirus diarrhea continue to have a devastating impact on the public health burden. Climatic change and anthropogenic forcings have greatly affected available water quantity and quality, while the lack of effective institutions and capacity have greatly affected the water-sanitation and public health sectors. The region suffers from recurring dry season freshwater scarcity and temperature extremes, salinity intrusion in coastal areas, inland flooding during monsoons, and resulting water contamination across the delta region. We use earth observation (EO) datasets and techniques to develop a series of tools for surveillance, analysis and decision support to empower government, academic, and non-government stakeholder organizations in South Asia to monitor changes in environmental conditions related to the two most devastating diarrheal diseases, cholera and rotavirus. The developed tools will enable decision makers and stakeholders to significantly increase their understanding of the threats to public health and environmental and climatic conditions related to these diseases, ways to monitor future projections of disease risk, and help identify required policy interventions and strategies to strengthen prevention efforts and limit disease burden in near- (tactical) and long- (strategic) terms.

Does size matter in aged care facilities? A literature review of the relationship between the number of facility beds and quality.

PubMed

Baldwin, Richard; Chenoweth, Lynnette; Dela Rama, Marie; Wang, Alex Y

Theory suggests that structural factors such as aged care facility size (bed numbers) will influence service quality. There have been no recent published studies in support of this theory, and consequently, the available literature has not been useful in assisting decision makers with investment decisions on facility size. The study aimed to address that deficit by reviewing the international literature on the relationships between the size of residential aged care facilities, measured by number of beds, and service quality. A systematic review identified 30 studies that reported a relationship between facility size and quality and provided sufficient details to enable comparison. There are three groups of studies based on measurement of quality-those measuring only resident outcomes, those measuring care and resident outcomes using composite tools, and those focused on regulatory compliance. The overall findings support the posited theory to a large extent, that size is a factor in quality and smaller facilities yield the most favorable results. Studies using multiple indicators of service quality produced more consistent results in favor of smaller facilities, as did most studies of regulatory compliance. The theory that aged care facility size (bed numbers) will influence service quality was supported by 26 of the 30 studies reviewed. The review findings indicate that aged care facility size (number of beds) may be one important factor related to service quality. Smaller facilities are more likely to result in higher quality and better outcomes for residents than larger facilities. This has implications for those who make investment decisions concerning aged care facilities. The findings also raise implications for funders and policy makers to ensure that regulations and policies do not encourage the building of facilities inconsistent with these findings.

The game of making decisions under uncertainty: How sure must one be?

NASA Astrophysics Data System (ADS)

Werner, Micha; Verkade, Jan; Wetterhall, Fredrik; van Andel, Schalk-Jan; Ramos, Maria-Helena

2016-04-01

Probabilistic hydrometeorological forecasting is now widely accepted to be more skillful than deterministic forecasts, and is increasingly being integrated into operational practice. Provided they are reliable and unbiased, probabilistic forecasts have the advantage that they give decision maker not only the forecast value, but also the uncertainty associated to that prediction. Though that information provides more insight, it does now leave the forecaster/decision maker with the challenge of deciding at what level of probability of a threshold being exceeded the decision to act should be taken. According to the cost-loss theory, that probability should be related to the impact of the threshold being exceeded. However, it is not entirely clear how easy it is for decision makers to follow that rule, even when the impact of a threshold being exceeded, and the actions to choose from are known. To continue the tradition in the "Ensemble Hydrometeorological Forecast" session, we will address the challenge of making decisions based on probabilistic forecasts through a game to be played with the audience. We will explore how decisions made differ depending on the known impacts of the forecasted events. Participants will be divided into a number of groups with differing levels of impact, and will be faced with a number of forecast situations. They will be asked to make decisions and record the consequence of those decisions. A discussion of the differences in the decisions made will be presented at the end of the game, with a fuller analysis later posted on the HEPEX web site blog (www.hepex.org).

At Least I Tried: The Relationship between Regulatory Focus and Regret Following Action vs. Inaction

PubMed Central

Itzkin, Adi; Van Dijk, Dina; Azar, Ofer H.

2016-01-01

Regret is an unpleasant feeling that may arise following decisions that ended poorly, and may affect the decision-maker's well-being and future decision making. Some studies show that a decision to act leads to greater regret than a decision not to act when both resulted in failure, because the latter is usually the norm. In some cases, when the norm is to act, this pattern is reversed. We suggest that the decision maker's regulatory focus, affects regret after action or inaction. Specifically, promotion-focused individuals, who tend to be more proactive, view action as more normal than prevention-focused individuals, and therefore experience regulatory fit when an action decision is made. Hence, we hypothesized that promotion-focused individuals will feel less regret than prevention-focused individuals when a decision to act ended poorly. In addition, we hypothesized that a trigger for change implied in the situation, decreases the level of regret following action. We tested our hypotheses on a sample of 330 participants enrolled in an online survey. The participants received six decision scenarios, in which they were asked to evaluate the level of regret following action and inaction. Individual regulatory focus was measured by two different scales. Promotion-focused individuals attributed less regret than prevention-focused individuals to action decisions. Regret following inaction was not affected by regulatory focus. In addition, a trigger for change decreases regret following action. Orthodox people tend to attribute more regret than non-orthodox to a person who made an action decision. The results contribute to the literature by showing that not only the situation but also the decision maker's orientation affects the regret after action vs. inaction. PMID:27833581

Adaptive History Biases Result from Confidence-Weighted Accumulation of past Choices

PubMed Central

2018-01-01

Perceptual decision-making is biased by previous events, including the history of preceding choices: observers tend to repeat (or alternate) their judgments of the sensory environment more often than expected by chance. Computational models postulate that these so-called choice history biases result from the accumulation of internal decision signals across trials. Here, we provide psychophysical evidence for such a mechanism and its adaptive utility. Male and female human observers performed different variants of a challenging visual motion discrimination task near psychophysical threshold. In a first experiment, we decoupled categorical perceptual choices and motor responses on a trial-by-trial basis. Choice history bias was explained by previous perceptual choices, not motor responses, highlighting the importance of internal decision signals in action-independent formats. In a second experiment, observers performed the task in stimulus environments containing different levels of autocorrelation and providing no external feedback about choice correctness. Despite performing under overall high levels of uncertainty, observers adjusted both the strength and the sign of their choice history biases to these environments. When stimulus sequences were dominated by either repetitions or alternations, the individual degree of this adjustment of history bias was about as good a predictor of individual performance as individual perceptual sensitivity. The history bias adjustment scaled with two proxies for observers' confidence about their previous choices (accuracy and reaction time). Together, our results are consistent with the idea that action-independent, confidence-modulated decision variables are accumulated across choices in a flexible manner that depends on decision-makers' model of their environment. SIGNIFICANCE STATEMENT Decisions based on sensory input are often influenced by the history of one's preceding choices, manifesting as a bias to systematically repeat (or alternate) choices. We here provide support for the idea that such choice history biases arise from the context-dependent accumulation of a quantity referred to as the decision variable: the variable's sign dictates the choice and its magnitude the confidence about choice correctness. We show that choices are accumulated in an action-independent format and a context-dependent manner, weighted by the confidence about their correctness. This confidence-weighted accumulation of choices enables decision-makers to flexibly adjust their behavior to different sensory environments. The bias adjustment can be as important for optimizing performance as one's sensitivity to the momentary sensory input. PMID:29371318

Adaptive History Biases Result from Confidence-weighted Accumulation of Past Choices.

PubMed

Braun, Anke; Urai, Anne E; Donner, Tobias H

2018-01-25

Perceptual decision-making is biased by previous events, including the history of preceding choices: Observers tend to repeat (or alternate) their judgments of the sensory environment more often than expected by chance. Computational models postulate that these so-called choice history biases result from the accumulation of internal decision signals across trials. Here, we provide psychophysical evidence for such a mechanism and its adaptive utility. Male and female human observers performed different variants of a challenging visual motion discrimination task near psychophysical threshold. In a first experiment, we decoupled categorical perceptual choices and motor responses on a trial-by-trial basis. Choice history bias was explained by previous perceptual choices, not motor responses, highlighting the importance of internal decision signals in action-independent formats. In a second experiment, observers performed the task in stimulus environments containing different levels of auto-correlation and providing no external feedback about choice correctness. Despite performing under overall high levels of uncertainty, observers adjusted both the strength and the sign of their choice history biases to these environments. When stimulus sequences were dominated by either repetitions or alternations, the individual degree of this adjustment of history bias was about as good a predictor of individual performance as individual perceptual sensitivity. The history bias adjustment scaled with two proxies for observers' confidence about their previous choices (accuracy and reaction time). Taken together, our results are consistent with the idea that action-independent, confidence-modulated decision variables are accumulated across choices in a flexible manner that depends on decision-makers' model of their environment. Significance statement: Decisions based on sensory input are often influenced by the history of one's preceding choices, manifesting as a bias to systematically repeat (or alternate) choices. We here provide support for the idea that such choice history biases arise from the context-dependent accumulation of a quantity referred to as the decision variable: the variable's sign dictates the choice and its magnitude the confidence about choice correctness. We show that choices are accumulated in an action-independent format and a context-dependent manner, weighted by the confidence about their correctness. This confidence-weighted accumulation of choices enables decision-makers to flexibly adjust their behavior to different sensory environments. The bias adjustment can be as important for optimizing performance as one's sensitivity to the momentary sensory input. Copyright © 2018 Braun et al.

Gaining Momentum: How Media Influences Public Opinion To Push Civil-Military Decision Makers Into Formulating Foreign Policy

DTIC Science & Technology

2016-02-09

1 AIR WAR COLLEGE AIR UNIVERSITY GAINING MOMENTUM: HOW MEDIA INFLUENCES PUBLIC OPINION TO PUSH CIVIL-MILITARY DECISION MAKERS INTO...engagements from the past, evidence suggest the media or press does have an influence over public opinion, especially during times of war and humanitarian...changes and that leaders must take into consideration that public opinion and the media may provide a large amount of influence over how the nation

The bare necessities? A realist review of necessity argumentations used in health care coverage decisions.

PubMed

Kleinhout-Vliek, Tineke; de Bont, Antoinette; Boer, Bert

2017-07-01

Policy makers and insurance companies decide on coverage of care by both calculating (cost-) effectiveness and assessing the necessity of coverage. To investigate argumentations pertaining to necessity used in coverage decisions made by policy makers and insurance companies, as well as those argumentations used by patients, authors, the public and the media. This study is designed as a realist review, adhering to the RAMESES quality standards. Embase, Medline and Web of Science were searched and 98 articles were included that detailed necessity-based argumentations. We identified twenty necessity-based argumentation types. Seven are only used to argue in favour of coverage, five solely for arguing against coverage, and eight are used to argue both ways. A positive decision appears to be facilitated when patients or the public set the decision on the agenda. Moreover, half the argumentation types are only used by patients, authors, the public and the media, whereas the other half is also used by policy makers and insurance companies. The latter group is more accepted and used in more different countries. The majority of necessity-based argumentation types is used for either favouring or opposing coverage, and not for both. Patients, authors, the public and the media use a broader repertoire of argumentation types than policy makers and insurance companies. Copyright © 2017 Elsevier B.V. All rights reserved.

Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: methods of a decision-maker-researcher partnership systematic review.

PubMed

Haynes, R Brian; Wilczynski, Nancy L

2010-02-05

Computerized clinical decision support systems are information technology-based systems designed to improve clinical decision-making. As with any healthcare intervention with claims to improve process of care or patient outcomes, decision support systems should be rigorously evaluated before widespread dissemination into clinical practice. Engaging healthcare providers and managers in the review process may facilitate knowledge translation and uptake. The objective of this research was to form a partnership of healthcare providers, managers, and researchers to review randomized controlled trials assessing the effects of computerized decision support for six clinical application areas: primary preventive care, therapeutic drug monitoring and dosing, drug prescribing, chronic disease management, diagnostic test ordering and interpretation, and acute care management; and to identify study characteristics that predict benefit. The review was undertaken by the Health Information Research Unit, McMaster University, in partnership with Hamilton Health Sciences, the Hamilton, Niagara, Haldimand, and Brant Local Health Integration Network, and pertinent healthcare service teams. Following agreement on information needs and interests with decision-makers, our earlier systematic review was updated by searching Medline, EMBASE, EBM Review databases, and Inspec, and reviewing reference lists through 6 January 2010. Data extraction items were expanded according to input from decision-makers. Authors of primary studies were contacted to confirm data and to provide additional information. Eligible trials were organized according to clinical area of application. We included randomized controlled trials that evaluated the effect on practitioner performance or patient outcomes of patient care provided with a computerized clinical decision support system compared with patient care without such a system. Data will be summarized using descriptive summary measures, including proportions for categorical variables and means for continuous variables. Univariable and multivariable logistic regression models will be used to investigate associations between outcomes of interest and study specific covariates. When reporting results from individual studies, we will cite the measures of association and p-values reported in the studies. If appropriate for groups of studies with similar features, we will conduct meta-analyses. A decision-maker-researcher partnership provides a model for systematic reviews that may foster knowledge translation and uptake.

Introducing consumer directed care in residential care settings for older people in Australia: views of a citizens' jury.

PubMed

Laver, Kate; Gnanamanickam, Emmanuel; Whitehead, Craig; Kurrle, Susan; Corlis, Megan; Ratcliffe, Julie; Shulver, Wendy; Crotty, Maria

2018-07-01

Objectives Health services worldwide are increasingly adopting consumer directed care approaches. Traditionally, consumer directed care models have been implemented in home care services and there is little guidance as to how to implement them in residential care. This study used a citizens' jury to elicit views of members of the public regarding consumer directed care in residential care. Methods A citizens' jury involving 12 members of the public was held over two days in July 2016, exploring the question: For people with dementia living in residential care facilities, how do we enable increased personal decision making to ensure that care is based on their needs and preferences? Jury members were recruited through a market research company and selected to be broadly representative of the general public. Results The jury believed that person-centred care should be the foundation of care for all older people. They recommended that each person's funding be split between core services (to ensure basic health, nutrition and hygiene needs are met) and discretionary services. Systems needed to be put into place to enable the transition to consumer directed care including care coordinators to assist in eliciting resident preferences, supports for proxy decision makers, and accreditation processes and risk management strategies to ensure that residents with significant cognitive impairment are not taken advantage of by goods and service providers. Transparency should be increased (perhaps using technologies) so that both the resident and nominated family members can be sure that the person is receiving what they have paid for. Conclusions The views of the jury (as representatives of the public) were that people in residential care should have more say regarding the way in which their care is provided and that a model of consumer directed care should be introduced. Policy makers should consider implementation of consumer directed care models that are economically viable and are associated with high levels of satisfaction among users.

The Decision-Making Structure and the Dean.

ERIC Educational Resources Information Center

Johnson, Betty M.; George, Shirley A.

1987-01-01

Characteristics in the college academic setting and the external environment that affect the decision-making structure and that the dean should consider before reorganization are examined. Concepts and theories about governance, decision-making, organizational structure, and characteristics of effective decision makers are also briefly reviewed. A…

Spatial planning using probabilistic flood maps

NASA Astrophysics Data System (ADS)

Alfonso, Leonardo; Mukolwe, Micah; Di Baldassarre, Giuliano

2015-04-01

Probabilistic flood maps account for uncertainty in flood inundation modelling and convey a degree of certainty in the outputs. Major sources of uncertainty include input data, topographic data, model structure, observation data and parametric uncertainty. Decision makers prefer less ambiguous information from modellers; this implies that uncertainty is suppressed to yield binary flood maps. Though, suppressing information may potentially lead to either surprise or misleading decisions. Inclusion of uncertain information in the decision making process is therefore desirable and transparent. To this end, we utilise the Prospect theory and information from a probabilistic flood map to evaluate potential decisions. Consequences related to the decisions were evaluated using flood risk analysis. Prospect theory explains how choices are made given options for which probabilities of occurrence are known and accounts for decision makers' characteristics such as loss aversion and risk seeking. Our results show that decision making is pronounced when there are high gains and loss, implying higher payoffs and penalties, therefore a higher gamble. Thus the methodology may be appropriately considered when making decisions based on uncertain information.

Economic Decisions for Others: An Exception to Loss Aversion Law

PubMed Central

Mengarelli, Flavia; Moretti, Laura; Faralla, Valeria; Vindras, Philippe; Sirigu, Angela

2014-01-01

In everyday life, people often make decisions on behalf of others. The current study investigates whether risk preferences of decision-makers differ when the reference point is no longer their own money but somebody else money. Thirty four healthy participants performed three different monetary risky choices tasks by making decisions for oneself and for another unknown person. Results showed that loss aversion bias was significantly reduced when participants were choosing on behalf of another person compared to when choosing for themselves. The influence of emotions like regret on decision-making may explain these results. We discuss the importance of the sense of responsibility embodied in the emotion of regret in modulating economic decisions for self but not for others. Moreover, our findings are consistent with the Risk-as-feelings hypothesis, suggesting that self-other asymmetrical behavior is due to the extent the decision-maker is affected by the real and emotional consequences of his/her decision. PMID:24454788

The Inferential Structure of Actionable Science in Climatological and Hydrological Co-Productions

NASA Astrophysics Data System (ADS)

Brumble, K. C.

2016-12-01

Across the geophysical sciences, and in hydrology in particular, there is a growing emphasis on and desire to produce "actionable science" and "user-inspired" science. Fueled by the need to make research approachable, intelligible, and useful for decision-makers, policy-makers, and across disciplinary boundaries, actionable science endeavors seek to replace the traditional downward flow of information model for knowledge in the sciences. Instead the focus is on more dynamical knowledge flow between the local and contingent and the vast and complex. New methodologies which allow for the co-production of knowledge between modelers, model users, and decision-makers will be surveyed for the structure of knowledge flow present, and for innovations in communicating and handling uncertainties across traditional disciplinary boundaries. Current and possible future methods for handling sources of uncertainty and cascades of uncertainty will be addressed. Examples will be drawn from recent projects involving the interactions between climate modeling groups, hydrological modelers, and decision makers at the local and regional level in water security to try and identify key methodologies for the co-production of actionable knowledge exportable to other applications in the boundary between systems impacted by climate change.

Family medicine in Iran: facing the health system challenges.

PubMed

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.

The determinants of efficiency in the Canadian health care system.

PubMed

Allin, Sara; Grignon, Michel; Wang, Li

2016-01-01

In spite of the vast number of studies measuring economic efficiency in health care, there has been little take-up of this evidence by policy-makers to date. This study provides an illustration of how a system-level study drawing on best practice in empirical measurement of efficiency may be of practical use to health system decision makers and managers. We make use of the rich data available in Canada to undertake a robust two-stage data envelopment analysis to calculate efficiency at the regional (sub-provincial) level. Decisions about what the health system produces (the outcome to measure efficiency against) and what are the resources it has to produce that outcome were based on interviews and consultation with health system decision makers. Overall, we find large inefficiencies in the Canadian health care system, which could improve outcomes (here, measured as a reduction in treatable causes of death) by between 18 and 35% across our analyses. Also, we find that inefficiencies are the result of three main sets of factors that policy makers could pay attention to: management factors, such as hospital re-admissions; public health factors, such as obesity and smoking rates; and environmental factors such as the population's average income.

Knowledge and Attitudes of a Number of Iranian Policy-makers towards Abortion

PubMed Central

Shamshiri-Milani, Hourieh; Pourreza, Abolghasem; Akbari, Feizollah

2010-01-01

Introduction Unsafe and illegal abortions are the third leading cause of maternal death. It affects physical, emotional and social health of women and their families. Abortion is a multi-dimensional phenomenon with several social, legal, and religious implications. The views of policy-makers affect the approach to abortion in every society. Understanding the attitudes and knowledge of high-ranking decision makers towards abortion was the purpose of this study. Materials and Methods A qualitative research was implemented by carrying out individual interviews with 29 out of a selection of 80 presidents of medical sciences universities, senior executive managers in the legal system, forensic medicine and decision-makers in the health system and a number of top Muslim clerics, using a semi-structured questionnaire for data gathering. Content analysis revealed the results. Results There were considerable unwillingness and reluctance among the interviewees to participate in the study. The majority of participants fairly knew about the prevalence of illegal abortions and their complications. There was strong agreement on abortion when health of the mother or the fetus was at risk. Abortion for reproductive health reasons was supported by a minority of the respondents. The majority of them disagreed with abortion when pregnancy was the result of a rape, temporary marriage or out of wedlock affairs. Making decision for abortion by the pregnant mother, as a matter of her right, did not gain too much approval. Conclusion It seemed that physical health of the mother or the fetus was of more importance to the respondents than their mental or social health. The mother's hardship was not any indication for induced abortion in the viewpoints of the interviewed policy-makers. Strengthening family planning programs, making appropriate laws in lines with religious orders and advocacy programs targeting decision makers are determined as strategies for improving women's health rights. PMID:23926489

Ethics and public health emergencies: rationing vaccines.

PubMed

Wynia, Matthew K

2006-01-01

There are three broad ethical issues related to handling public health emergencies. They are the three R's-rationing, restrictions and responsibilities. Recently, a severe shortage of annual influenza vaccine in the US, combined with the threat of pandemic flu, has provided an opportunity for policy makers to think about rationing in very concrete terms. Some lessons from annual flu vaccination likely will apply to pandemic vaccine distribution, but many preparatory decisions must be based on very rough estimates. What ethical principles should guide rationing decisions, what data should inform these decisions, how to revise decisions as new data emerge, and how to implement rationing decisions on the ground are all important considerations. In addition, ethicists might be able to help policy makers think through the importance of international cooperation in surmounting global rationing dilemmas and to accept the inevitable responsibilities of government in making and implementing rationing decisions.

A multicriteria decision making approach based on fuzzy theory and credibility mechanism for logistics center location selection.

PubMed

Wang, Bowen; Xiong, Haitao; Jiang, Chengrui

2014-01-01

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center.

Escalation research: Providing new frontiers for applying behavior analysis to organizational behavior

PubMed Central

Goltz, Sonia M.

2000-01-01

Decision fiascoes such as escalation of commitment, the tendency of decision makers to “throw good money after bad,” can have serious consequences for organizations and are therefore of great interest in applied research. This paper discusses the use of behavior analysis in organizational behavior research on escalation. Among the most significant aspects of behavior-analytic research on escalation is that it has indicated that both the patterns of outcomes that decision makers have experienced for past decisions and the patterns of responses that they make are critical for understanding escalation. This research has also stimulated the refinement of methods by researchers to better assess decision making and the role reinforcement plays in it. Finally, behavior-analytic escalation research has not only indicated the utility of reinforcement principles for predicting more complex human behavior but has also suggested some additional areas for future exploration of decision making using behavior analysis. PMID:22478347

A Multicriteria Decision Making Approach Based on Fuzzy Theory and Credibility Mechanism for Logistics Center Location Selection

PubMed Central

Wang, Bowen; Jiang, Chengrui

2014-01-01

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center. PMID:25215319

An Overview of NASA's IM&S Verification and Validation Process Plan and Specification for Space Exploration

NASA Technical Reports Server (NTRS)

Gravitz, Robert M.; Hale, Joseph

2006-01-01

NASA's Exploration Systems Mission Directorate (ESMD) is implementing a management approach for modeling and simulation (M&S) that will provide decision-makers information on the model's fidelity, credibility, and quality. This information will allow the decision-maker to understand the risks involved in using a model's results in the decision-making process. This presentation will discuss NASA's approach for verification and validation (V&V) of its models or simulations supporting space exploration. This presentation will describe NASA's V&V process and the associated M&S verification and validation (V&V) activities required to support the decision-making process. The M&S V&V Plan and V&V Report templates for ESMD will also be illustrated.

Eco-informatics for decision makers advancing a research agenda

USGS Publications Warehouse

Cushing, J.B.; Wilson, T.; Brandt, L.; Gregg, V.; Spengler, S.; Borning, A.; Delcambre, L.; Bowker, G.; Frame, M.; Fulop, J.; Hert, C.; Hovy, E.; Jones, J.; Landis, E.; Schnase, J.L.; Schweik, C.; Sonntag, W.; ,

2005-01-01

Resource managers often face significant information technology (IT) problems when integrating ecological or environmental information to make decisions. At a workshop sponsored by the NSF and USGS in December 2004, university researchers, natural resource managers, and information managers met to articulate IT problems facing ecology and environmental decision makers. Decision making IT problems were identified in five areas: 1) policy, 2) data presentation, 3) data gaps, 4) tools, and 5) indicators. To alleviate those problems, workshop participants recommended specific informatics research in modeling and simulation, data quality, information integration and ontologies, and social and human aspects. This paper reports the workshop findings, and briefly compares these with research that traditionally falls under the emerging eco-informatics rubric. ?? Springer-Verlag Berlin Heidelberg 2005.

Making connections to translate climate research into effective action

NASA Astrophysics Data System (ADS)

Evans, K. J.; Niepold, F., III; Pierce, L.

2016-12-01

Climate change is strongly apparent at many scales and facets of the Earth system including glacier retreat, increased ocean acidity, altered meteorological patterns, and changing ecosystems. There is general recognition that a more strategic and coordinated response is needed to ameliorate these impacts on communities and to limit the global temperature increase to 1.5°C imposed by the 2015 Paris agreement. However, concrete plans to achieve these goals require actionable and specific guidance from the scientific community that is targeted for specific stakeholder groups within government agencies, industry, and individuals, while also supporting decision-makers plans and policies. This guidance depends on scientific advances that establish quantified predictions and minimize the levels of uncertainty. Although, these advances are ongoing; the decision maker, civil society organizations, and business and investor communities are not waiting for perfection. The urgency of taking action now has brought new approaches to the fore that try to bring the best available science into the business and decision making process. Combining a breadth of expertise, we highlight the specific transmission pathways of information needed for stakeholders, and it spans initial data collection and climate model construction, experimentation, analysis, synthesis of results, education, to government, communities, and business planning to reduce impacts and minimize additional human-caused contributions. We propose a multi-pathway relay along these paths. In one direction we encourage scientists to provide accessible and useable summary results with uncertainties to educators and stakeholders, who in turn need to collate results in a manner that enables interested parties to identify their specific mitigation action. In the other direction, stakeholders and shareholders are already requesting more comprehensive verification, validation, and active linkages to the way in which governments, business and investing decisions are made such that capital is deployed to the greatest number of solutions. Furthermore, businesses can get into the emissions reductions game now. We suggest several incentives to encourage more communication and synthesis along these engagement paths.

Comparative analysis of decision maker preferences for equity/efficiency attributes in reimbursement decisions in three European countries.

PubMed

Baji, Petra; García-Goñi, Manuel; Gulácsi, László; Mentzakis, Emmanouil; Paolucci, Francesco

2016-09-01

In addition to cost-effectiveness, national guidelines often include other factors in reimbursement decisions. However, weights attached to these are rarely quantified, thus decisions can depend strongly on decision-maker preferences. To explore the preferences of policymakers and healthcare professionals involved in the decision-making process for different efficiency and equity attributes of interventions and to analyse cross-country differences. Discrete choice experiments (DCEs) were carried out in Austria, Hungary, and Norway with policymakers and other professionals working in the health industry (N = 153 respondents). Interventions were described in terms of different efficiency and equity attributes (severity of disease, target age of the population and willingness to subsidise others, potential number of beneficiaries, individual health benefit, and cost-effectiveness). Parameter estimates from the DCE were used to calculate the probability of choosing a healthcare intervention with different characteristics, and to rank different equity and efficiency attributes according to their importance. In all three countries, cost-effectiveness, individual health benefit and severity of the disease were significant and equally important determinants of decisions. All countries show preferences for interventions targeting young and middle aged populations compared to those targeting populations over 60. However, decision-makers in Austria and Hungary show preferences more oriented to efficiency than equity, while those in Norway show equal preferences for equity and efficiency attributes. We find that factors other than cost-effectiveness seem to play an equally important role in decision-making. We also find evidence of cross-country differences in the weight of efficiency and equity attributes.

Distributive justice and infertility treatment in Canada.

PubMed

Nisker, Jeff

2008-05-01

An exploration of distributive justice in Canadian infertility treatment requires the integration of ethical, clinical, and economic principles. In 1971, American philosopher John Rawls proposed a theoretical model for fair decision-making in which "rational" and "self-interested" citizens are behind a "veil of ignorance" with respect to both their own position and the position of other decision-makers. Rawls proposed that these self-interested decision-makers, fearing that they are among the least advantaged persons who could be affected by the decision, will agree only upon rules that encode equality of opportunity and that bestow the greatest benefit on the least advantaged citizens. Regarding health policy decision-making, Rawls' model is best illustrated by Canadian philosopher Warren Bourgeois in his panel of "volunteers." These rational and self-interested volunteers receive an amnestic drug that renders them unaware of their health, social, and financial position, but they know that they are representative of diverse spheres of citizens whose well-being will be affected by their decision. After describing fair decision-making, Bourgeois considers the lack of a distributive justice imperative in Canada's Assisted Human Reproduction Act, in contrast to legislation in European nations and Australia, summarizes the economic and clinical considerations that must be provided to the decision-makers behind the "veil of ignorance" for fair decisions to occur, and considers altruism in relation to equality of access. He concludes by noting that among countries with legislation governing assisted reproduction Canada is alone in having legislation that is void of distributive justice in providing access to clinically appropriate infertility care.

Boundary Organizations: Creating a Unique Model for Sustained Dialog Among Scientists and Decison Makers About Long-term Change

NASA Astrophysics Data System (ADS)

Duncan, B.; Carter, H.; Knight, E.; Meyer, R.

2015-12-01

California Ocean Science Trust is a boundary organization formed by the state of California. We work across traditional boundaries between government, science, and communities to build trust and understanding in ocean and coastal science. We work closely with decision makers to understand their priority needs and identify opportunities for science to have a meaningful impact, and we engage scientists and other experts to compile and translate information into innovative products that help to meet those needs. This often sparks new collaborations that live well beyond the products themselves. Through this unique model, we are deepening relationships and facilitating an ongoing dialogue between scientists, decision-makers, and communities. The West Coast of the United States is already experiencing climate-driven changes in marine conditions at both large and small spatial scales. Decision makers are increasingly concerned with the potential threats that these changes pose to coastal communities, industries, ecosystems, and species. Detecting and understanding these multi-stressor changes requires consideration across scientific disciplines and management jurisdictions. Research and monitoring programs must reflect this new reality: they should be designed to connect with the decision makers who may use their results. In this presentation, I will share how we are drawing from the West Coast Ocean Acidification and Hypoxia Science Panel - an interdisciplinary team of scientists convened by Ocean Science Trust from California, Oregon, Washington, and British Columbia - to develop actionable guidance for long-term monitoring for long-term change. Building on our experiences working with the Panel, I will discuss the unique model that boundary organizations provide for sustained dialog across traditionally siloed disciplines and management regimes, and share best practices and lessons learned in working across those boundaries.

Changing Times, Complex Decisions: Presidential Values and Decision Making

ERIC Educational Resources Information Center

Hornak, Anne M.; Garza Mitchell, Regina L.

2016-01-01

Objective: The objective of this article is to delve more deeply into the thought processes of the key decision makers at community colleges and understand how they make decisions. Specifically, this article focuses on the role of the community college president's personal values in decision making. Method: We conducted interviews with 13…

Moogle, Google, and Garbage Cans: The Impact of Technology on Decision Making

ERIC Educational Resources Information Center

Sellers, Martin P.

2005-01-01

Decision makers are faced daily with making important and pervasive decisions. This is especially significant in higher education, where decisions about academics will have considerable impact on the next generation of leaders. In place of rational decisions about the substance of learning and instruction, academic administrators make incremental…

Ecological Rationality: A Framework for Understanding and Aiding the Aging Decision Maker

PubMed Central

Mata, Rui; Pachur, Thorsten; von Helversen, Bettina; Hertwig, Ralph; Rieskamp, Jörg; Schooler, Lael

2012-01-01

The notion of ecological rationality sees human rationality as the result of the adaptive fit between the human mind and the environment. Ecological rationality focuses the study of decision making on two key questions: First, what are the environmental regularities to which people’s decision strategies are matched, and how frequently do these regularities occur in natural environments? Second, how well can people adapt their use of specific strategies to particular environmental regularities? Research on aging suggests a number of changes in cognitive function, for instance, deficits in learning and memory that may impact decision-making skills. However, it has been shown that simple strategies can work well in many natural environments, which suggests that age-related deficits in strategy use may not necessarily translate into reduced decision quality. Consequently, we argue that predictions about the impact of aging on decision performance depend not only on how aging affects decision-relevant capacities but also on the decision environment in which decisions are made. In sum, we propose that the concept of the ecological rationality is crucial to understanding and aiding the aging decision maker. PMID:22347843

Ecological rationality: a framework for understanding and aiding the aging decision maker.

PubMed

Mata, Rui; Pachur, Thorsten; von Helversen, Bettina; Hertwig, Ralph; Rieskamp, Jörg; Schooler, Lael

2012-01-01

The notion of ecological rationality sees human rationality as the result of the adaptive fit between the human mind and the environment. Ecological rationality focuses the study of decision making on two key questions: First, what are the environmental regularities to which people's decision strategies are matched, and how frequently do these regularities occur in natural environments? Second, how well can people adapt their use of specific strategies to particular environmental regularities? Research on aging suggests a number of changes in cognitive function, for instance, deficits in learning and memory that may impact decision-making skills. However, it has been shown that simple strategies can work well in many natural environments, which suggests that age-related deficits in strategy use may not necessarily translate into reduced decision quality. Consequently, we argue that predictions about the impact of aging on decision performance depend not only on how aging affects decision-relevant capacities but also on the decision environment in which decisions are made. In sum, we propose that the concept of the ecological rationality is crucial to understanding and aiding the aging decision maker.

Evaluating local policy adoption campaigns in California: Tobacco Retail License (TRL) adoption.

PubMed

Satterlund, Travis D; Treiber, Jeanette; Haun, Sue; Cassady, Diana

2014-06-01

As part of its state-wide "denormalization" campaign, the California Tobacco Control Program has funded local tobacco control projects to secure tobacco retail licenses (TRLs) in their communities. TRL policies generate funding by requiring tobacco retailers within a jurisdiction to obtain a license, which is in addition to the state license that tobacco retailers are legally required to purchase to sell tobacco products. The funding provided by TRLs enables local law enforcement to carry out inspection and enforcement operations. This paper examines the unique processes by which local project campaigns attempt to get TRL policies adopted in communities across the State of California. Twenty-two local projects submitted final evaluation reports pertaining to the adoption of TRLs, and the reports from these projects form the basis of the analysis. Successful campaigns tended to include the following strategies: (1) determining policy readiness; (2) gathering local data; (3) identifying and working with a "champion"; (4) building relationships with local law enforcement agencies and decision makers; and (5) educating community and decision makers. The major challenges faced by local projects included budget cuts and staffing issues, concern about creating an unfavorable environment for business by imposing more regulations and fees, and complaints about using law enforcement resources for tobacco control in light of more "pressing" public safety issues. These challenges proved difficult for local projects to overcome, and also highlight the need for projects to create and carry out strong but flexible tactical plans that incorporate the aforementioned strategies.

Evaluation of a child sexual abuse prevention program.

PubMed

Chasan-Taber, L; Tabachnick, J

1999-10-01

A half-million children are believed to be sexually abused each year in the United States. In 1995, the American Medical Association declared sexual assault "a silent violent epidemic." The majority of efforts to stop child sexual abuse have focused on punishing abusers and treating victims and their families; prevention programs are uncommon and rely on educating children to report sexual abuse. This case study describes the evaluation of the first public health campaign designed to target adults for prevention. A baseline assessment of attitudes, awareness, knowledge, and policies was conducted in Vermont to identify facilitators and barriers to adult prevention of child sexual abuse. These included predisposing factors (50% of Vermont residents did not know the characteristics of an abuser), enabling factors (60% of Vermont residents did not know where to refer someone who may have sexual behavior problems), and reinforcing factors (when focus group participants knew an abuser, they were less likely to take action). This process guided the intervention, which included a broad-based media campaign targeting adults; a one-to-one communications strategy that provided information to agencies working with families at risk and a toll-free helpline for adults in an abuse situation; and a systems change strategy designed to educate decision-makers and leaders. Program evaluation measures included a random-digit dial survey, focus groups, a survey of Vermont decision-makers, and other data sets. The successes and limitations of these interventions, both as strategies in themselves and as data sources for evaluation, are discussed.

TAXONOMY OF MEDICAL DEVICES IN THE LOGIC OF HEALTH TECHNOLOGY ASSESSMENT.

PubMed

Henschke, Cornelia; Panteli, Dimitra; Perleth, Matthias; Busse, Reinhard

2015-01-01

The suitability of general HTA methodology for medical devices is gaining interest as a topic of scientific discourse. Given the broad range of medical devices, there might be differences between groups of devices that impact both the necessity and the methods of their assessment. Our aim is to develop a taxonomy that provides researchers and policy makers with an orientation tool on how to approach the assessment of different types of medical devices. Several classifications for medical devices based on varying rationales for different regulatory and reporting purposes were analyzed in detail to develop a comprehensive taxonomic model. The taxonomy is based on relevant aspects of existing classification schemes incorporating elements of risk and functionality. Its 9 × 6 matrix distinguishes between the diagnostic or therapeutic nature of devices and considers whether the medical device is directly used by patients, constitutes part of a specific procedure, or can be used for a variety of procedures. We considered the relevance of different device categories in regard to HTA to be considerably variable, ranging from high to low. Existing medical device classifications cannot be used for HTA as they are based on different underlying logics. The developed taxonomy combines different device classification schemes used for different purposes. It aims at providing decision makers with a tool enabling them to consider device characteristics in detail across more than one dimension. The placement of device groups in the matrix can provide decision support on the necessity of conducting a full HTA.

HUMAN HEALTH METRICS FOR ENVIRONMENTAL DECISION SUPPORT TOOLS: LESSONS FROM HEALTH ECONOMICS AND DECISION ANALYSIS

EPA Science Inventory

Decision makers using environmental decision support tools are often confronted with information that predicts a multitude of different human health effects due to environmental stressors. If these health effects need to be contrasted with costs or compared with alternative scena...

A Method for Decision Making using Sustainability Indicators

EPA Science Inventory

Calculations aimed at representing the thought process of decision makers are common within multi-objective decision support tools. These calculations that mathematically describe preferences most often combine various utility scores (i.e., abilities to satisfy desires) with weig...

NASA E-DECIDER Rapid Disaster Decision Support Products

NASA Image and Video Library

2014-09-03

A NASA-funded disaster decision support system, provided a number of rapid response map data products to decision makers at the California Earthquake Clearinghouse following its activation for the Aug. 24, 2014 magnitude 6.0 earthquake in Napa, California

Nutrition, environment and cardiovascular health (NESCAV): protocol of an inter-regional cross-sectional study.

PubMed

Alkerwi, Ala'a; Guillaume, Michèle; Zannad, Faiez; Laufs, Ulrich; Lair, Marie-Lise

2010-11-15

Despite the remarkable technological progress in health care and treatment, cardiovascular disease remains the leading cause of premature death, prolonged hospitalization and disability in most European countries. In the population of the Greater Region (Grand-Duchy of Luxembourg, Wallonia in Belgium, and Lorraine in France), the prevalence of cardiovascular risk factors and disease is among the highest in Europe, warranting the need for a better understanding of factors contributing to this pattern. In this context, the cross-border "Nutrition, Environment and Cardiovascular Health-NESCAV" project is initiated by an inter-regional multi-disciplinary consortium and supported by the INTERREG IV A program "Greater Region", 2007-2013, to fight synergically and harmoniously against this major public health problem. The objectives of the three-year planned project are to assess, in a representative sample of 3000 randomly selected individuals living at the Greater Region, 1) the cardiovascular health and risk profile, 2) the association between the dietary habits and the cardiovascular risk, 3) the association of occupational and environmental pollution markers with the cardiovascular risk, 4) the knowledge, awareness and level of control of cardiovascular risk factors, 5) the potential gaps in the current primary prevention, and finally, to address evidence-based recommendations enabling the development of inter-regional guidance to help policy-makers and health care workers for the prevention of cardiovascular disease. The findings will provide tools that may enable the Greater Region's decision-makers and health professionals to implement targeted and cost-effective prevention strategies.

Expressing collective voices on children's health: photovoice exploration with mothers of young children from the Indian Sundarbans.

PubMed

Ghosh, Upasona; Bose, Shibaji; Bramhachari, Rittika; Mandal, Sabyasachi

2016-11-15

The Indian Sundarbans is marked by inhospitable terrain and frequent climatic shocks which jointly hinder access to health care. Community members, and women in particular, have few means to communicate their concerns to local decision makers. Photovoice is one way in which communities can raise their local health challenges with decision makers. This study unlocks mothers' voices on the determinants of their children's health to inform local level decision-making on child health issues in the Indian Sundarbans. Photovoice action research was conducted in three blocks in the Sundarbans region of West Bengal, India. The project involved eight groups of eight to ten mothers who had at least one child below 6 years of age across four villages. The mothers received training on photo documentation and ethical concerns before taking two rounds of photographs within 6 months, interspersed by fortnightly group meetings facilitated by researchers. Photographs and key messages were communicated to local decision makers during block and village level interface sessions with the mothers and researchers. Mothers' photos focused on specific determinants of health, such as water and sanitation; health status, such as malnutrition and non-communicable diseases; service accessibility; climate conditions; and social issues such as early marriage and recurrent pregnancy. Some issues were not captured by photos but were discussed in group meetings, including domestic violence and the non-availability of medical practitioners. We found differences by mother's educational status, livelihood and caste identity in the extent and nature of photographs taken. As a result of the mother's interface with community decision makers, which included showcasing a selection of their photos, efforts to improve road infrastructure and human resource availability in the primary health centres and local government were realized. Photovoice has the potential to express the voices of vulnerable communities regarding their health needs and can help them dialogue with local decision makers to inform community health policy and planning. More needs to be done to understand how social differences among photovoice participants influences how they engage with the methodology.

Discovering DISCOVER

DTIC Science & Technology

1997-10-01

used to establish associations between source code and Adobe FrameMaker documents. The associations are represented as links that facilitate...possible (such as that provided with FrameMaker ). There is no scripting interface that would enable end-user programming of its modules. The suite of