Medico-legal decision making for incapacitated neonates

This thesis finds there is a need for greater transparency and objectivity in end-of-life decision making for extremely premature and critically ill infants. To achieve this objectivity, the allocation of finite public healthcare resources, and corresponding quality of life, should be a principal consideration in treatment decisions.

Evidence and obesity prevention : developing evidence summaries to support decision making

Public health practitioners make decisions based on research evidence in combination with a variety of other influences. Evidence summaries are one of a range of knowledge translation options used to support evidence-informed decision making. The literature relevant to obesity prevention requires synthesis for it to be accessible and relevant to end-users. As part of a national collaboration on obesity prevention, we used a stakeholder-focused approach combined with transparent review methods to develop evidence summaries covering a selection of topics relevant to policy and practice in the context of childhood obesity prevention.

Young adults and politics: investigating factors influencing voter decision making

Many parallels have been drawn between politics and marketing; however, the application of consumer behavior decision making to voter decision making is still an important research focus. Results from general elections around the world show that the turnout among young adults tends to be lower than in the general electorate, suggesting low interest and involvement in politics. This qualitative study investigated low-involvement decision making of young adult voters in Australia. Data were compiled from semistructured face-to-face interviews conducted with 29 young adults to explore their views, and NVivo software was used to assist with thematic analysis. Findings suggest that with low-involvement voter decision making, perceived knowledge and passive information seeking are important factors. Exposure to the media also plays an important role, and young voters rely more on traditional media such as newspapers and television than on social media for current political information.

Supporting decision making : the BI sweet spot

In this paper, we propose the concept: the BI Sweet Spot. The BI Sweet Spot ecosystem includes mobile computing, cloud computing and Big Data. We provide an overview for each of the key components and explain how these three components support the BI Sweet Spot. We also discuss best practices for managing these essential components. This study is the first-of-its-kind work in the BI research that considers the inter-relationships and the combined effect of mobile, cloud and Big Data.

Legal issues: minors' decision-making capacity to refuse life-saving and life-sustaining treatment: legal and psychiatric perspectives

Laws in Belgium and the Netherlands permit euthanasia and assisted suicide for seriously ill children who experience "constant and unbearable suffering" – they have the capacity to request death by lethal injection if they convey a "reasonable understanding of the consequences" of that request. The child's capacity to understand death is therefore a prerequisite to the implementation of the request. However, modern neuro-psychological and fMRI (functional Magnetic Resonance Imaging) studies of the relationship between the neuro-anatomical development of the brain in human beings and their emotional and experiential capacity, demonstrates that both are not fully developed until the early 20s for girls and mid-20s for boys. Unlike Belgium and the Netherlands, the clinical and legal implications of the immaturity of the brain on medical decision-making of minors, in particular life and death decisions, have been implicit in the Australian courts' approach to the refusal of life-saving and life-sustaining treatment by minors. This approach is exemplified by X v Sydney Children's Hospitals Network [2013] NSWCA 320 (and a series of earlier cases).

Shared decision making: what do clinicians need to know and why should they bother?

Shared decision making enables a clinician and patient to participate jointly in making a health decision, having discussed the options and their benefits and harms, and having considered the patient's values, preferences and circumstances. It is not a single step to be added into a consultation, but a process that can be used to guide decisions about screening, investigations and treatments. The benefits of shared decision making include enabling evidence and patients' preferences to be incorporated into a consultation; improving patient knowledge, risk perception accuracy and patient-clinician communication; and reducing decisional conflict, feeling uninformed and inappropriate use of tests and treatments. Various approaches can be used to guide clinicians through the process. We elaborate on five simple questions that can be used: What will happen if the patient waits and watches? What are the test or treatment options? What are the benefits and harms of each option? How do the benefits and harms weigh up for the patient? Does the patient have enough information to make a choice? Although shared decision making can occur without tools, various types of decision support tools now exist to facilitate it. Misconceptions about shared decision making are hampering its implementation. We address the barriers, as perceived by clinicians. Despite numerous international initiatives to advance shared decision making, very little has occurred in Australia. Consequently, we are lagging behind many other countries and should act urgently.

Consumer socialization agency: implications for family decision-making about holidays

This paper investigates the influence young adult children living at home have over parents' holiday decisions. "Consumer socialization agency" (CSA) was developed as a measure to capture the intercession or mediation one person accepts from another person about consumption issues. The analysis was conducted through a dyadic method, which involves collecting data from and analyzing data about pairs of people (dyads); in this case, parents and their children. CSA was related to family size and gender+ but more closely related to family communication style. Families fostering an open, issue-based communication style seem to have the highest likelihood of children socializing parents. © 2014 © 2014 Taylor & Francis.

Sales Promotion Decision Making: Concepts, Principles, and Practice

Up to 74% of marketing budgets can be spent on sales promotions, with manufacturers, suppliers and retailers employing a wide range of incentives from price discounts to complex Omni-channel consumer competitions and contests. Sales promotions are a vital strategic and tactical tool within the marketing value chain and those responsible for campaign planning must negotiate objectives, options and outcomes to ensure their initiatives deliver real results in competitive trading environments. Managers with limited understanding of the principles and practices of sales promotions often rely on past experience or preferences to guide their decision-making. Not surprisingly, without guiding principles, many sales promotions fail to achieve their full potential. This book is a resource for sales promotion professionals looking to improve the effectiveness of their sales promotions. The book is based on an extensive review of over 400 articles and cases. It presents the findings of global research which explores the very DNA of sales promotions, including their role, rationale, nature and function, key decision-making processes and campaign evaluation. Illustrations of sales promotion decision-making in practice based on research conducted in the retail supply chain is also incorporated. This book offers a comprehensive and critical appreciation of the core concepts that underpin sales promotion thinking. The goal is to empower decision-makers, consultants and stakeholders to make confident, informed and effective campaign decisions in the complex field of sales promotions.

A two-stage dynamic group decision making method for processing ordinal information

In group decision making (GDM) problems, ordinal data provide a convenient way of articulating preferences from decision makers (DMs). A number of GDM models have been proposed to aggregate such kind of preferences in the literature. However, most of the GDM models that handle ordinal preferences suffer from two drawbacks: (1) it is difficult for the GDM models to manage conflicting opinions, especially with a large number of DMs; and (2) the relationships between the preferences provided by the DMs are neglected, and all DMs are assumed to be of equal importance, therefore causing the aggregated collective preference not an ideal representative of the group's decision. In order to overcome these problems, a two-stage dynamic group decision making method for aggregating ordinal preferences is proposed in this paper. The method consists of two main processes: (i) a data cleansing process, which aims to reduce the influence of conflicting opinions pertaining to the collective decision prior to the aggregation process; as such an effective solution for undertaking large-scale GDM problems is formulated; and (ii) a support degree oriented consensus-reaching process, where the collective preference is aggregated by using the Power Average (PA) operator; as such, the relationships of the arguments being aggregated are taken into consideration (i.e., allowing the values being aggregated to support each other). A new support function for the PA operator to deal with ordinal information is defined based on the dominance-based rough set approach. The proposed GDM model is compared with the models presented by Herrera-Viedma et al. An application related to controlling the degradation of the hydrographic basin of a river in Brazil is evaluated. The results demonstrate the usefulness of the proposed method in handling GDM problems with ordinal information.

Offending: drug-related expertise and decision making

Drug use is endemic within offender populations and, as a result, considerable heterogeneity can be found in drug-related crime. Expertise in drug-related offending covers an equally broad base from internal mental processes through skill acquisition to social interactions. This review considers decision making and expertise for crimes in the domains of direct causal effects (e.g., burglary) and non-causal relationships (e.g., apprehension avoidance, detection). Also considered is the notion of expertise as it applies to addiction, in particular the conscious and unconscious goal-directed behaviors articulated in the Selfish Goal model (Huang & Bargh, 2014) and a cool cognition/hot affect dual processing model of criminal decision making (Van Gelder, 2013). The review findings would suggest (a) the need for more focused research into whether expertise differs as a function of drug use and (b) a paradigm shift in terms of treatment for drug-using offenders.

Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting

 Background: The value placed on types of evidence within decision-making contexts is highly dependent on individuals, the organizations in which the work and the systems and sectors they operate in. Decision-making processes too are highly contextual. Understanding the values placed on evidence and processes guiding decision-making is crucial to designing strategies to support evidence-informed decision-making (EIDM). This paper describes how evidence is used to inform local government (LG) public health decisions.
Methods: The study used mixed methods including a cross-sectional survey and interviews. The Evidence-Informed Decision-Making Tool (EvIDenT) survey was designed to assess three key domains likely to impact on EIDM: access, confidence, and organizational culture. Other elements included the usefulness and influence of sources of evidence (people/groups and resources), skills and barriers, and facilitators to EIDM. Forty-five LGs from Victoria, Australia agreed to participate in the survey and up to four people from each organization were invited to complete the survey (n = 175). To further explore definitions of evidence and generate experiential data on EIDM practice, key informant interviews were conducted with a range of LG employees working in areas relevant to public health.
Results: In total, 135 responses were received (75% response rate) and 13 interviews were conducted. Analysis revealed varying levels of access, confidence and organizational culture to support EIDM. Significant relationships were found between domains: confidence, culture and access to research evidence. Some forms of evidence (e.g. community views) appeared to be used more commonly and at the expense of others (e.g. research evidence). Overall, a mixture of evidence (but more internal than external evidence) was influential in public health decision-making in councils. By comparison, a mixture of evidence (but more external than internal evidence) was deemed to be useful in public health decision-making.
Conclusions: This study makes an important contribution to understanding how evidence is used within the public health LG context.

A hybrid weighted aggregation method based on consistency and consensus in group decision making

A recent study in Science indicated that the confidence of a decision maker played an essential role in group decision making problems. In order to make use of the information of each individual's confidence of the current decision problem, a new hybrid weighted aggregation method to solve a group decision making peoblem is proposed in this paper. Specifically, the hybrid weight of each expert is generated by a convex combination of his/her subjective experience-based weight and objective problem-domain-based weight. The experience-based weight is derived from the expert's historical experiences and the problem-domain-based weight is characterized by the confidence degree and consensus degree of each expert's opinions in the current decision making process. Based on the hybrid weighted aggregation method, all the experts' opinions which are expressed in the form of fuzzy preference relations are consequently aggregated to obtain a collective group opinion. Some valuable properities of the proposed method are discussed. A nurse manager hiring problem in a hospital is employed to illustrate that the proposed method provides a rational and valid solution for the group decision making problem when the experts are not willing to change their initial preferences, or the cost of change is high due to time limitation.

Sentencing in child sexual assault cases: factors influencing judicial decision-making

To date, there has been limited examination of variables that influence sentencing in child sexual abuse cases. This study examines the extent to which offence characteristics (such as the number of offences, number and age of victims), the behaviour and perceived credibility of the victim impact upon both sentence length and the setting of earliest parole dates. Analyses conducted using data from 66 adjudicated cases of child sexual assault from the County Court of Victoria, Australia revealed that longer sentences were handed down to offenders who had perpetrated multiple offences, or who had committed offences against younger children. Lower levels of victim credibility were associated with shorter sentences and earlier parole dates for offenders, which were also associated with the presence of more harmful behavioural indicators of abuse. The findings are discussed regarding the importance of presenting evidence about the behaviour of victims following sexual abuse in criminal trials. © 2013 Copyright National Organisation for the Treatment of Abusers.