scholarly journals Developmental change in partition dependent resource allocation behavior

2020 ◽  
Author(s):  
Katherine Williams ◽  
Alexandra Zax ◽  
Sheri Reichelson ◽  
Andrea Patalano ◽  
Hilary Barth
Keyword(s):  
Resource Allocation ◽  
Developmental Change ◽  
Developmental Trajectory ◽  
Decision Makers ◽  
Older Children ◽  
Dependent Behavior ◽  
Adults And Children ◽  
Child Friendly ◽  
Partition Dependence ◽  
Work Supports

Partition dependence, the tendency to distribute choices differently based on the way options are grouped, has important implications for decision making. This phenomenon, observed in adults across a variety of contexts such as allocating resources or making selections from a menu of items, can bias decision makers toward some choices and away from others. Only one study to date (Reichelson, Zax, Patalano, & Barth, 2019) has investigated the developmental trajectory of this phenomenon. In the current study we investigate children’s and adults’ susceptibility to partitioning effects in a child-friendly resource allocation task. In Experiment 1 (N = 80), adults distributed 12 food tokens to animals at the zoo. Based on previous findings that older children show weaker partition dependence in this task, we predicted that adults might exhibit reduced partition dependent behavior: they showed none. In Experiment 2 (N = 272), we used a less transparent task with only five food tokens, predicting that both adults and children (ages 3-10 years) would show partition dependence. Children, but not adults, made partition dependent resource allocations, with younger children exhibiting greater effects than older children. These experiments provide further evidence that children’s decisions, like adults’ (in other tasks), are influenced by the arbitrary partitioning of the available options. This work supports previous findings that younger children may be more susceptible to these effects, and maps developmental change in partition dependent behavior from early childhood to adulthood on this child-friendly partition dependence task.

scholarly journals Partition dependence in development: Are children’s decisions shaped by the arbitrary grouping of options?

2018 ◽  
Vol 72 (5) ◽  
pp. 1029-1036 ◽  
Author(s):  
Sheri Reichelson ◽  
Alexandra Zax ◽  
Andrea L Patalano ◽  
Hilary C Barth
Keyword(s):  
Resource Allocation ◽  
Developmental Change ◽  
Older Children ◽  
Wide Range ◽  
Zoo Animals ◽  
Partition Dependence

The grouping of options into arbitrary categories influences adults’ decisions about allocating choices or resources among those options; this is called “partition dependence.” Partition dependence has been demonstrated in a wide range of contexts in adults and is often presented as a technique for designing choice architectures that nudge people towards better decisions. Whether children also make partition dependent decisions is unknown, as are potential patterns of developmental change. In this experiment ( N = 159), we examined whether children exhibit partition dependence using a novel resource allocation task. This novel task, distributing food tokens to zoo animals, did elicit partition dependence in our developmental sample. Both older children (ages 7-10 years) and younger children (ages 3-6 years) made partition dependent allocations, and younger children exhibited a larger partition dependence effect than did older children. This work provides the first evidence that children’s decisions, like adults’, are influenced by the arbitrary grouping of the options, and suggests that younger children may be more susceptible to this influence, at least in the context explored here.

scholarly journals Partition dependence in development: Are children’s decisions shaped by the arbitrary grouping of options?

2018 ◽  
Author(s):  
Sheri Reichelson ◽  
Alexandra Zax ◽  
Andrea Patalano ◽  
Hilary Barth
Keyword(s):  
Resource Allocation ◽  
Developmental Change ◽  
Older Children ◽  
Wide Range ◽  
Zoo Animals ◽  
Partition Dependence

The grouping of options into arbitrary categories influences adults’ decisions about allocating choices or resources among those options; this is called “partition dependence.” Partition dependence has been demonstrated in a wide range of contexts in adults, and is often presented as a technique for designing choice architectures that nudge people toward better decisions. Whether children also make partition dependent decisions is unknown, as are potential patterns of developmental change. In this experiment (N = 159), we examined whether children exhibit partition dependence using a novel resource allocation task. This novel task, distributing food tokens to zoo animals, did elicit partition dependence in our developmental sample. Both older children (ages 7-10 years), and younger children (ages 3-6 years) made partition dependent allocations, and younger children exhibited a larger partition dependence effect than did older children. This work provides the first evidence that children’s decisions, like adults’, are influenced by the arbitrary grouping of the options, and suggests that younger children may be more susceptible to this influence, at least in the context explored here.

scholarly journals Working towards evidence-informed policy: Public health report Stockholm

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
V Bartelink ◽  
D Yacaman Mendez ◽  
A Lager
Keyword(s):  
Public Health ◽  
Resource Allocation ◽  
Scientific Literature ◽  
Decision Makers ◽  
High Quality ◽  
Public Health Report ◽  
The Public ◽  
Health Report ◽  
High Quality Evidence ◽  
Quality Evidence

Abstract Issue Public health problems and interventions are often addressed in sub-optimal ways by not prioritizing them based on the best available evidence. Description of the Problem The public health report 2019 for the Stockholm region aims to inform decision makers, politicians, and public health workers about the risk factors and diseases that account for the biggest part of the burden of disease with a clear focus on high quality evidence and communication of main messages. How did the public health report 2019 affect public health policy in the Stockholm region? Results The public health report 2019 influenced agenda setting, resource allocation and priority setting in the Stockholm region. Lessons We identified the following facilitating factors in the process, of which most also are supported in scientific literature, in chronological order: 1) understanding the policymaking context to be aware of windows of opportunity, 2) establishing relationships with relevant policymakers, engage with them routinely in the decision-making process, and being accessible for questions, 3) doing high-quality research by considering the latest scientific literature, multiple data sources and involving academic experts in the field, 4) communicating clear and relevant messages for generalists by translating research into easy-understandable texts and attractive figures, and 5) active dissemination of the report through multiple channels. In addition, the following barriers were identified: 1) the timeframe of the policymaking process was not in line with the research process, and 2) involving politicians in an early stage can potentially harm the objectivity of research in media messages. Key messages By focussing on major problems, high quality evidence and clear messages a public health report can contribute to more evidence-informed policy making. Engaging decision makers in the process of public health reporting is critical for the impact on agenda setting, resource allocation, and priority setting.

Age Effects in the Processing of Typical and Distinctive Faces

1995 ◽  
Vol 48 (2) ◽  
pp. 447-465 ◽  
Author(s):  
Robert A. Johnston ◽  
Hadyn D. Ellis
Keyword(s):  
Young Children ◽  
Recognition Memory ◽  
Memory Task ◽  
Age Effects ◽  
Decision Task ◽  
Older Children ◽  
Cognitive Architectures ◽  
Differential Processing ◽  
Four Dimensions ◽  
Adults And Children

Two experiments exploring the differential processing of distinctive and typical faces by adults and children are reported. Experiment 1 employed a recognition memory task. On three out of four dimensions of measurement, children of 5 years of age did not show an advantage for distinctive faces, whereas older children and adults did. In Experiment 2, however, subjects of all ages classified typical faces faster than distinctive ones in a face/non-face decision task: the 5-year-olds performed exactly as did adults and older children. The different patterns in performance between these two tasks are discussed in relation to possible cognitive architectures for the way young children represent faces in memory. Specifically, we examine two alternative architectures proposed by Ellis (1992) as precursors for Valentine's (1991a) multidimensional adult face-space and discuss whether implementations of these spaces should be based on a norm-based or an exemplar-based framework.

Family experiences with non-therapeutic research on dying patients in the intensive care unit

2021 ◽  
pp. medethics-2021-107311
Author(s):  
Amanda van Beinum ◽  
Nick Murphy ◽  
Charles Weijer ◽  
Vanessa Gruben ◽  
Aimee Sarti ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intrinsic Value ◽  
Family Members ◽  
Research Participation ◽  
Decision Makers ◽  
Minimal Risk ◽  
Dying Patients ◽  
Therapeutic Study ◽  
Therapeutic Research ◽  
Work Supports

Experiences of substitute decision-makers with requests for consent to non-therapeutic research participation during the dying process, including to what degree such requests are perceived as burdensome, have not been well described. In this study, we explored the lived experiences of family members who consented to non-therapeutic research participation on behalf of an imminently dying patient.We interviewed 33 family members involved in surrogate research consent decisions for dying patients in intensive care. Non-therapeutic research involved continuous physiological monitoring of dying patients prior to and for 30 min following cessation of circulation. At some study centres participation involved installation of bedside computers. At one centre electroencephalogram monitoring was used with a subset of participants. Aside from additional monitoring, the research protocol did not involve deviations from usual end-of-life care.Thematic analysis of interviews suggests most family members did not perceive this minimal-risk, non-therapeutic study to affect their time with patients during the dying process, nor did they perceive research consent as an additional burden. In our analysis, consenting for participation in perimortem research offered families of the dying an opportunity to affirm the intrinsic value of patients’ lives and contributions. This opportunity may be particularly important for families of patients who consented to organ donation but did not proceed to organ retrieval.Our work supports concerns that traditional models of informed consent fail to account for possible benefits and harms of perimortem research to surviving families. Further research into consent models which integrate patient and family perspectives is needed.

Key principles for the improved conduct of health technology assessments for resource allocation decisions

2008 ◽  
Vol 24 (03) ◽  
pp. 244-258 ◽  
Author(s):  
Michael F. Drummond ◽  
J. Sanford Schwartz ◽  
Bengt Jönsson ◽  
Bryan R. Luce ◽  
Peter J. Neumann ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Health Technology ◽  
Resource Allocation Decision ◽  
Decision Makers ◽  
Costs And Benefits ◽  
Allocation Decision ◽  
Health Technologies ◽  
System A ◽  
Different Types ◽  
Allocation Decisions

Health technology assessment (HTA) is a dynamic, rapidly evolving process, embracing different types of assessments that inform real-world decisions about the value (i.e., benefits, risks, and costs) of new and existing technologies. Historically, most HTA agencies have focused on producing high quality assessment reports that can be used by a range of decision makers. However, increasingly organizations are undertaking or commissioning HTAs to inform a particular resource allocation decision, such as listing a drug on a national or local formulary, defining the range of coverage under insurance plans, or issuing mandatory guidance on the use of health technologies in a particular healthcare system. A set of fifteen principles that can be used in assessing existing or establishing new HTA activities is proposed, providing examples from existing HTA programs. The principal focus is on those HTA activities that are linked to, or include, a particular resource allocation decision. In these HTAs, the consideration of both costs and benefits, in an economic evaluation, is critical. It is also important to consider the link between the HTA and the decision that will follow. The principles are organized into four sections: (i) “Structure” of HTA programs; (ii) “Methods” of HTA; (iii) “Processes for Conduct” of HTA; and (iv) “Use of HTAs in Decision Making.”

scholarly journals Application of A Framework to Guide Policy on Healthcare Resource Allocation Decisions to Data Linkage Projects

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Ian Olver
Keyword(s):  
Resource Allocation ◽  
Data Linkage ◽  
Health Data ◽  
Decision Makers ◽  
Data Sets ◽  
Policy Decisions ◽  
The Public ◽  
Health Resource Allocation ◽  
Allocation Decisions ◽  
Resource Allocation Decisions

IntroductionData linkage of population data sets often across jurisdictions or linking health data sets or health data with non-health data often involves balancing ethical principles such as privacy with beneficence as represented by the public good. Similar ethical dilemmas occur in health resource allocation decisions. The NHMRC have published a framework to guide policy on health resource allocation decisions that could be applied to ensure the justification of data linkage projects that is defensible as in the interest of the public good. Objectives and ApproachThe four main conditions for legitimacy of policy decisions about access to healthcare in a democracy with a public health system and limited resources wereexamined for their relevance to decisions about the use of public data and linking data sets. ResultsPublic policy decisions must be defensible and responsive to the interests of those affected. Decision-makers should articulate their reasoning and recommendations so that citizens can judge them. While the context of policy decisions will differ, their legitimacy depends upon (1) the transparency of the reasoning which should be free from conflicts of interest, the basis for decisions recorded and report widely, (2) the accountability of the decision-makers to the wider community, (3) the testability of the evidence used to inform the decision-making, which usually means that it will stand up to independent review and(4) the inclusive recognition of those the decision affects which often requires that the implications for disadvantaged groups are considered, even if they can’t always be accommodated. These conditions are interrelated but ensure that the good of society in general and not just specific dominant groups are accommodated. Conclusion / ImplicationsIt these principles are applied to decisions about data linkage projects they have clear applicability in society accepting data linkage projects having balanced the good against the ethical risks involved.

Evaluation of Effects of Priority Preferences on Optimal Resource Allocation in Pavement Management

2013 ◽  
Vol 723 ◽  
pp. 838-845 ◽  
Author(s):  
Javed Farhan ◽  
Tien Fang Fwa
Keyword(s):  
Resource Allocation ◽  
Pavement Management ◽  
Decision Makers ◽  
Solution Strategy ◽  
Optimal Resource Allocation ◽  
Pavement Maintenance ◽  
Priority Weights ◽  
Optimal Resource ◽  
Original Objective ◽  
Programming Analysis

Certain aspects of prioritization have commonly been employed in the optimum resource allocation program for pavement maintenance management. However, issues associated with incorporating priority preferences into pavement maintenance programming have not been evaluated. For example, application of priority weights to certain problem parameters will affect the optimality of the end solution with respect to the original objective. However, the degree of loss in optimality is related to the form or structure, the magnitudes, and the range of priority weights adopted. Decision makers, who adopt such an approach, are often oblivious to the degree of sub-optimality of the solutions. Therefore, this paper presents a study that examines the implications of applying priority weights, of varying magnitudes and ranges, in the pavement maintenance programming analysis in terms of optimality of the solution/strategy.

scholarly journals The Origins of Intergroup Resource Inequality Influence Children’s Decision to Perpetuate or Rectify Inequality

2020 ◽  
Vol 11 ◽  
Author(s):  
Jing An ◽  
Jing Yu ◽  
Liqi Zhu
Keyword(s):  
Resource Allocation ◽  
Regional Disparity ◽  
Ingroup Bias ◽  
Resource Allocations ◽  
Older Children ◽  
Internal Factor ◽  
Intergroup Inequality ◽  
Different Origins ◽  
Factor Difference

Previous studies have explored children’s intergroup resource allocation in the context of preexisting intergroup resource inequality. However, resource inequality between social groups often originates from different factors. This study explored the role of the origins of resource inequality on children’s intergroup resource allocations. In experiment 1, when there was no explicit origin of the intergroup inequality, children of different ages mainly allocated resources in an equal way and 5- to 6-year-olds showed ingroup bias. In experiment 2, we examined the influence of different origins of intergroup inequality and found that 5- to 6-year-olds perpetuated intergroup inequality when resource inequality was based on either a structural (regional disparity) or an internal factor (difference in performance). However, 10- to 11-year-olds rectified inequality or allocated equally when intergroup inequality was based on regional disparity and perpetuated resource inequality when intergroup inequality was based on performance difference. The origins of inequality appear to play an important role in children’s intergroup resource allocations, and older children can distinguish different origins of intergroup inequality in resource allocation.

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