975 resultados para multi-attribute decision making


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Background:
The factors influencing the decision making of operative treatment for fractures of the proximal humerus are debated. We hypothesized that there is no difference in treatment recommendations between surgeons shown radiographs alone and those shown radiographs and patient information. Secondarily, we addressed (1) factors associated with a recommendation for operative treatment, (2) factors associated with recommendation for arthroplasty, (3) concordance with the recommendations of the treating surgeons, and (4) factors affecting the inter-rater reliability of treatment recommendations.
Methods: A total of 238 surgeons of the Science of Variation Group rated 40 radiographs of patients with proximal humerus fractures. Participants were randomized to receive information about the patient and mechanism of injury. The response variables included the choice of treatment (operative vs nonoperative) and the percentage of matches with the actual treatment.
Results: Participants who received patient information recommended operative treatment less than those who received no information. The patient information that had the greatest influence on treatment recommendations included age (55%) and fracture me chanism (32%). The only other factor associated with a recommendation for operative treatment was region of practice. There was no significant difference between participants who were and were not provided with information regarding agreement with the actual treatment (operative vs nonoperative) provided by the treating surgeon.
Conclusion: Patient information - older age in particular - is associated with a higher likelihood of recommending nonoperative treatment than radiographs alone. Clinical information did not improve agreement of the Science of Variation Group with the actual treatment or the generally poor interobserver agreement on treatment recommendations

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By restricting physical activity levels, the bed rest simulation of weightlessness could be associated with changes in prefrontal cortex functioning that manifest as cognitive decrements, particularly for executive cognitive functions. We aimed to determine if performance on an executive function task was indeed affected by bed rest. The Iowa Gambling Task, a card game measuring real-life decision making processes, was administered to 25 healthy males (aged 21-45 years) selected to undergo 60 days of 6 degrees head-down tilt bed rest for the 2nd Berlin BedRest Study (BBR2-2). Testing was conducted either 6 days before beginning bed rest (n=13) or on the 51st day of bed rest (n=12). The task performance scores of subjects tested before bed rest were not significantly different from those tested during bed rest. However, subjects tested during bed rest failed to adapt their card selection strategy as the Iowa Gambling Task progressed. This was unlike the subjects tested before bed rest, who switched between decks on consecutive card selections less frequently in latter stages of the task. An influence of prolonged bed rest on decision making could have implications for the planning of human spaceflights to Mars, or for any circumstance in which adequate physical activity levels are not achieved.

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The reporting of suspected child abuse and neglect is a mandated role of medical doctors, nurses, police and teachers in Victoria, Australia. This paper reports on a research study that sought to explicate how mandated professionals working in rural Victorian contexts identify a child/ren at risk and the decisions they make subsequently.

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Management strategies to reduce the risks to human life and property from wildfire commonly involve burning native vegetation. However, planned burning can conflict with other societal objectives such as human health and biodiversity conservation. These conflicts are likely to intensify as fire regimes change under future climates and as growing human populations encroach farther into fire-prone ecosystems. Decisions about managing fire risks are therefore complex and warrant more sophisticated approaches than are typically used. We applied a multicriteria decision making approach (MCDA) with the potential to improve fire management outcomes to the case of a highly populated, biodiverse, and flammable wildland-urban interface. We considered the effects of 22 planned burning options on 8 objectives: house protection, maximizing water quality, minimizing carbon emissions and impacts on human health, and minimizing declines of 5 distinct species types. The MCDA identified a small number of management options (burning forest adjacent to houses) that performed well for most objectives, but not for one species type (arboreal mammal) or for water quality. Although MCDA made the conflict between objectives explicit, resolution of the problem depended on the weighting assigned to each objective. Additive weighting of criteria traded off the arboreal mammal and water quality objectives for other objectives. Multiplicative weighting identified scenarios that avoided poor outcomes for any objective, which is important for avoiding potentially irreversible biodiversity losses. To distinguish reliably among management options, future work should focus on reducing uncertainty in outcomes across a range of objectives. Considering management actions that have more predictable outcomes than landscape fuel management will be important. We found that, where data were adequate, an MCDA can support decision making in the complex and often conflicted area of fire management.

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Better managing diabetes has become a global priority, especially given the exponential increase in the number of diabetes patients and the financial implications of treating this silent epidemic. In this paper, we focus on how it might be possible to use a mobile technology solution to support and enable superior diabetes monitoring and management. To test this solution, we examined the context of gestational diabetes and adopted a non-blinded randomized control trial with two-arm cross over applied to a private hospital in Victoria, Australia. Further, we use an accountable care system as the theoretical lens and, from this, develop a conceptual framework to bridge evidence-based management with technologies. Theoretically, we unpack McCleallan, McKethan, Lewis, Roski, and Fisher’s (2010) study with our conceptual framework that comprises providers for information (evidence-based management) and technology (smartphone). We enhance Muhlestein, Croshaw, Merrill, Pena, and James’ (2013) accountable care paradigm with three concepts: 1) quality of life, 2) evidence-based management, and 3) affordable care. From the perspective of practice, far-reaching implications have arisen particularly for hospital management pertaining to the cost and quality of care issues. In particular, it appears that adapting mobile technology solutions such as smartphones to support various aspects of care and patient-clinician interactions is a prudent choice to minimize costs and yet provide highquality care.

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The United Nations Convention on the Rights of Persons with Disabilities (UNCRPD) was the first legally binding instrument explicitly focused on how human rights apply to people with disability. Amongst their obligations, consistent with the social model of disability, the Convention requires signatory nations to recognise that “…persons with disabilities enjoy legal capacity on an equal basis with others in all aspects of life” and mandates signatory nations to develop “…appropriate measures to provide access by persons with disability to the support they may require in exercising their legal capacity”. The Convention promotes supported decision-making as one such measure. Although Australia ratified the UNCRPD in 2008, it retains an interpretative declaration in relation to Article 12 (2, 3, 4), allowing for the use of substituted decision-making in situations where a person is assessed as having no or limited decision-making capacity. Such an outcome is common for people with severe or profound intellectual disability because the assessments they are subjected to are focused on their cognition and generally fail to take into account the interdependent nature of human decision-making. This paper argues that Australia’s interpretative declaration is not in the spirit of the Convention nor the social model of disability on which it is based. It starts from the premise that the intention of Article 12 is to be inclusive of all signatory nations’ citizens, including those with severe or profound cognitive disability. From this premise, arises a practical need to understand how supported decision-making can be used with this group. Drawing from evidence from an empirical study with five people with severe or profound intellectual disability, this paper provides a rare glimpse on what supported decision-making can look like for people with severe or profound intellectual disability. Additionally, it describes the importance of supporters having positive assumptions of decision-making capacity as a factor affecting supported decision-making. This commentary aims to give a focus for practice and policy efforts for ensuring people with severe or profound cognitive disability receive appropriate support in decision-making, a clear obligation of signatory nations of the UNCRPD. A focus on changing supporter attitudes rather than placing the onus of change on people with disability is consistent with the social model of disability, a key driver of the UNCRPD.

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In group decision making (GDM) problems, it is natural for decision makers (DMs) to provide different preferences and evaluations owing to varying domain knowledge and cultural values. When the number of DMs is large, a higher degree of heterogeneity is expected, and it is difficult to translate heterogeneous information into one unified preference without loss of context. In this aspect, the current GDM models face two main challenges, i.e., handling the complexity pertaining to the unification of heterogeneous information from a large number of DMs, and providing optimal solutions based on unification methods. This paper presents a new consensus-based GDM model to manage heterogeneous information. In the new GDM model, an aggregation of individual priority (AIP)-based aggregation mechanism, which is able to employ flexible methods for deriving each DM's individual priority and to avoid information loss caused by unifying heterogeneous information, is utilized to aggregate the individual preferences. To reach a consensus more efficiently, different revision schemes are employed to reward/penalize the cooperative/non-cooperative DMs, respectively. The temporary collective opinion used to guide the revision process is derived by aggregating only those non-conflicting opinions at each round of revision. In order to measure the consensus in a robust manner, a position-based dissimilarity measure is developed. Compared with the existing GDM models, the proposed GDM model is more effective and flexible in processing heterogeneous information. It can be used to handle different types of information with different degrees of granularity. Six types of information are exemplified in this paper, i.e., ordinal, interval, fuzzy number, linguistic, intuitionistic fuzzy set, and real number. The results indicate that the position-based consensus measure is able to overcome possible distortions of the results in large-scale GDM problems.

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BACKGROUND: Clinical decision-making is a complex activity that is critical to patient safety. Simulation, augmented by feedback, affords learners the opportunity to learn critical clinical decision-making skills. More detailed feedback following simulation exercises has the potential to further enhance student learning, particularly in relation to developing improved clinical decision-making skills. OBJECTIVE: To investigate the feasibility of head-mounted video camera recordings, to augment feedback, following acute patient deterioration simulations. DESIGN: Pilot study using an observational design. METHODS: Ten final-year nursing students participated in three simulation exercises, each focussed on detection and management of patient deterioration. Two observers collected behavioural data using an adapted version of Gaba's Clinical Simulation Tool, to provide verbal feedback to each participant, following each simulation exercise. Participants wore a head-mounted video camera during the second simulation exercise only. Video recordings were replayed to participants to augment feedback, following the second simulation exercise. Data were collected on: participant performance (observed and perceived); participant perceptions of feedback methods; and head-mounted video camera recording feasibility and capability for detailed audio-visual feedback. RESULTS: Management of patient deterioration improved for six participants (60%). Increased perceptions of confidence (70%) and competence (80%), were reported by the majority of participants. Few participants (20%) agreed that the video recording specifically enhanced their learning. The visual field of the head-mounted video camera was not always synchronised with the participant's field of vision, thus affecting the usefulness of some recordings. CONCLUSION: The usefulness of the video recordings, to enhance verbal feedback to participants on detection and management of simulated patient deterioration, was inconclusive. Modification of the video camera glasses, to improve visual-field synchronisation with participants' actual visual field, is recommended to further explore this technology for enhancing student performance.

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 This thesis explored supported decision-making for people with severe or profound intellectual disability. The findings provide guidance to supporters and policy makers to assist people with severe or profound intellectual disability to lead maximally autonomous lives, a clear obligation of Australia under the Convention on the Rights of Persons with Disabilities.

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Dissertação apresentada ao Programa de Pós-graduação em Administração - Mestrado da Universidade Municipal de São Caetano do Sul

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Vague words and expressions are present throughout the standards that comprise the accounting and auditing professions. Vagueness is considered to be a significant source of inexactness in many accounting decision problems and many authors have argued that the neglect of this issue may cause accounting information to be less useful. On the other hand, we can assume that the use of vague terms in accounting standards is inherent to principle based standards (different from rule based standards) and that to avoid vague terms, standard setters would have to incur excessive transaction costs. Auditors are required to exercise their own professional judgment throughout the audit process and it has been argued that the inherent vagueness in accounting standards may influence their decision making processes. The main objective of this paper is to analyze the decision making process of auditors and to investigate whether vague accounting standards create a problem for the decision making process of auditors, or lead to a better outcome. This paper makes the argument that vague standards prompt the use of System 2 type processing by auditors, allowing more comprehensive analytical thinking; therefore, reducing the biases associated with System 1 heuristic processing. If our argument is valid, the repercussions of vague accounting standards are not as negative as presented in previous literature, instead they are positive.