223 resultados para Cognitive classes
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Objective To compare the diagnostic accuracy of the interRAI Acute Care (AC) Cognitive Performance Scale (CPS2) and the Mini-Mental State Examination (MMSE), against independent clinical diagnosis for detecting dementia in older hospitalized patients. Design, Setting, and Participants The study was part of a prospective observational cohort study of patients aged ≥70 years admitted to four acute hospitals in Queensland, Australia, between 2008 and 2010. Recruitment was consecutive and patients expected to remain in hospital for ≥48 hours were eligible to participate. Data for 462 patients were available for this study. Measurements Trained research nurses completed comprehensive geriatric assessments and administered the interRAI AC and MMSE to patients. Two physicians independently reviewed patients’ medical records and assessments to establish the diagnosis of dementia. Indicators of diagnostic accuracy included sensitivity, specificity, predictive values, likelihood ratios and areas under receiver (AUC) operating characteristic curves. Results 85 patients (18.4%) were considered to have dementia according to independent clinical diagnosis. The sensitivity of the CPS2 [0.68 (95%CI: 0.58–0.77)] was not statistically different to the MMSE [0.75 (0.64–0.83)] in predicting physician diagnosed dementia. The AUCs for the 2 instruments were also not statistically different: CPS2 AUC = 0.83 (95%CI: 0.78–0.89) and MMSE AUC = 0.87 (95%CI: 0.83–0.91), while the CPS2 demonstrated higher specificity [0.92 95%CI: 0.89–0.95)] than the MMSE [0.82 (0.77–0.85)]. Agreement between the CPS2 and clinical diagnosis was substantial (87.4%; κ=0.61). Conclusion The CPS2 appears to be a reliable screening tool for assessing cognitive impairment in acutely unwell older hospitalized patients. These findings add to the growing body of evidence supporting the utility of the interRAI AC, within which the CPS2 is embedded. The interRAI AC offers the advantage of being able to accurately screen for both dementia and delirium without the need to use additional assessments, thus increasing assessment efficiency.
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Objective: Neurocognitive deficits are a core symptom domain of schizophrenia, occurring in 75 -90 % of people with this diagnosis and influencing long term functional outcomes. This article aims to describe the pilot implementation of cognitive remediation therapy (CRT) in two large public mental health services and detail changes made to the delivery of this therapy after this trial. Conclusions: CRT provides an evidence based approach to targeting cognitive deficits but the translation of this therapy from a research setting to clinical practice has not been well evaluated.
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Despite advances in psychopharmacology, schizophrenia remains a severely disabling illness. It is now appreciated that cognitive impairment mediates the functional disability associated with the disorder. Cognitive remediation which is defined as “a behavioural training based intervention that aims to improve cognitive processes (attention, memory, executive functioning, social cognition or meta cognition) with the goal of durability and generalization” is a therapeutic approach that improves cognition and when combined with other rehabilitation strategies improves real world functioning (Wykes et al., 2011).
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Previous studies have shown that users’ cognitive styles play an important role during Web searching. However, only limited studies have showed the relationship between cognitive styles and Web search behavior. Most importantly, it is not clear which components of Web search behavior are influenced by cognitive styles. This paper examines the relationships between users’ cognitive styles and their Web searching and develops a model that portrays the relationship. The study uses qualitative and quantitative analyses to inform the study results based on data gathered from 50 participants. A questionnaire was utilised to collect participants’ demographic information, and Riding’s (1991) Cognitive Style Analysis (CSA) test to assess their cognitive styles. Results show that users’ cognitive styles influenced their information searching strategies, query reformulation behaviour, Web navigational styles and information processing approaches. The user model developed in this study depicts the fundamental relationships between users’ Web search behavior and their cognitive styles. Modeling Web search behavior with a greater understanding of user’s cognitive styles can help information science researchers and information systems designers to bridge the semantic gap between the user and the systems. Implications of the research for theory and practice, and future work are discussed.
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Process models are used to convey semantics about business operations that are to be supported by an information system. A wide variety of professionals is targeted to use such models, including people who have little modeling or domain expertise. We identify important user characteristics that influence the comprehension of process models. Through a free simulation experiment, we provide evidence that selected cognitive abilities, learning style, and learning strategy influence the development of process model comprehension. These insights draw attention to the importance of research that views process model comprehension as an emergent learning process rather than as an attribute of the models as objects. Based on our findings, we identify a set of organizational intervention strategies that can lead to more successful process modeling workshops.
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The aim of this study was to conduct a systematic literature review of research-based studies to identify practices designed to meet the specific care needs of older cognitively impaired patients in emergency departments (ED). A systematic literature review of studies was completed using PRIMSA methodology. The search criteria included articles from both emergency and acute care settings. A total of 944 articles were screened, and a total of 43 articles were identified as eligible. The review found a number of intervention studies to improve quality of care for older persons with cognitive impairment carried out or commenced in emergency settings, including interventions to improve cognitive impairment recognition (n = 9) and clinical approaches to reduce falls (n = 1) and both delirium incidence and prevalence (n = 2). Relevant studies carried out in acute care settings regarding cognitive impairment recognition (n = 4) and primary and secondary prevention of delirium (n = 18) and intervention studies that reduced the prescription of deliriogenic drugs (n = 1), reduced behavioral symptoms and discomfort (n = 7), and improved nutritional intake (n = 1) in hospitalized older persons with dementia were also identified. There is limited research available that reports interventions that improve the quality of care of older ED patients with cognitive impairment. Although this review found evidence obtained from the acute care setting, additional research is needed to identify whether these interventions are beneficial in fast-paced emergency settings.
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Asking why is an important foundation of inquiry and fundamental to the development of reasoning skills and learning. Despite this, and despite the relentless and often disruptive nature of innovations in information and communications technology (ICT), sophisticated tools that directly support this basic act of learning appear to be undeveloped, not yet recognized, or in the very early stages of development. Why is this so? To this question, there is no single satisfactory answer; instead, numerous plausible explanations and related questions arise. After learning something, however, explaining why can be revealing of a person’s understanding (or lack of it). What then differentiates explanation from information; and, explanatory from descriptive content? What ICT scaffolding might support inquiry instigated by why-questioning? What is the role of reflective practice in inquiry-based learning? These and other questions have emerged from this investigation and underscore that why-questions often propagate further questions and are a catalyst for cognitive engagement and dialogue. This paper reports on a multi-disciplinary, theoretical investigation that informs the broad discourse on e-learning and points to a specific frontier for design and development of e-learning tools. Probing why reveals that versatile and ambiguous semantics present the core challenge – asking, learning, knowing, understanding, and explaining why.
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Incorporating a learner’s level of cognitive processing into Learning Analytics presents opportunities for obtaining rich data on the learning process. We propose a framework called COPA that provides a basis for mapping levels of cognitive operation into a learning analytics system. We utilise Bloom’s taxonomy, a theoretically respected conceptualisation of cognitive processing, and apply it in a flexible structure that can be implemented incrementally and with varying degree of complexity within an educational organisation. We outline how the framework is applied, and its key benefits and limitations. Finally, we apply COPA to a University undergraduate unit, and demonstrate its utility in identifying key missing elements in the structure of the course.
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Mooting is modeled principally on appellate advocacy. However, the skill set developed by participating in a moot program – being that necessary to persuade someone to your preferred position – is indispensible to anyone practising law. Developing effective mooting skills in students necessitates the engagement of coaches with an appropriate understanding of the theories underlying mooting and advocacy practice and their interconnection with each other. This article explains the relevance of the cognitive domain to mooting performance and places it in context with the psychomotor and affective domains.
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This study aimed to explore whether participants' pretherapy coping strategies predicted the outcome of group cognitive behavioral therapy (CBT) for anxiety and depression. It was hypothesized that adaptive coping strategies such as the use of active planning and acceptance would be associated with higher reductions, whereas maladaptive coping strategies such as denial and disengagement would be associated with lower reductions in anxious and depressed symptoms following psychotherapy. There were 144 participants who completed group CBT for anxiety and depression. Measures of coping strategies were administered prior to therapy, whereas measures of depression and anxiety were completed both prior to and following therapy. The results showed that higher levels of denial were associated with a poorer outcome, in terms of change in anxiety but not depression, following therapy. These findings suggest the usefulness of using the Denial subscale from the revised Coping Orientation to Problems Experienced (COPE) as a predictor of outcome in group CBT for anxiety.
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Research has found that children exposed to family violence exhibit higher rates of maladjustment. We review relevant literature on family violence, marital conflict, and cognitive factors implicated in child behaviour problems. A bias toward perceiving threat in ambiguous contexts has been identified as one factor mediating both aggressive and anxious behaviour disorders. We conducted a study utilizing the ambiguous situations paradigm to assess whether children exposed to violent spousal conflict were more likely than children not exposed to violence (divided into children with an externalizing behaviour disorder and non-clinic children) to perceive threat in two classes of ambiguous situations: Peer and Inter-Parental. The results indicated that children exposed to violent spousal conflict perceived more threat in parental situations than either of the other two groups. A number of considerations were taken into account given the exploratory nature of the study, particularly sample limitations. We conclude with suggestions for improvements to the research design and the further relevance of exploring cognitive factors involved in the adjustment of children from backgrounds of violence.
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Benzodiazepines are widely prescribed to manage sleep disorders, anxiety and muscular tension. While providing short-term relief, continued use induces tolerance and withdrawal, and in older users, increases the risk of falls. However, long-term prescription remains common, and effective interventions are not widely available. This study developed a self-managed cognitive behaviour therapy package for cessation of benzodiazepine use delivered to participants via mail (M-CBT) and trialled its effectiveness as an adjunct to a general practitioner (GP)-managed dose reduction schedule. In the pilot trial, participants were randomly assigned to GP management with immediate or delayed M-CBT. Significant recruitment and engagement problems were experienced, and only three participants were allocated to each condition. After immediate M-CBT, two participants ceased use, while none receiving delayed treatment reduced daily intake by more than 50%. Across the sample, doses at 12 months remained significantly lower than baseline, and qualitative feedback from participants was positive. While M-CBT may have promise, improved engagement of GPs and participants is needed for this approach to substantially impact on community-wide benzodiazepine use.
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Spatially-explicit modelling of grassland classes is important to site-specific planning for improving grassland and environmental management over large areas. In this study, a climate-based grassland classification model, the Comprehensive and Sequential Classification System (CSCS) was integrated with spatially interpolated climate data to classify grassland in Gansu province, China. The study area is characterized by complex topographic features imposed by plateaus, high mountains, basins and deserts. To improve the quality of the interpolated climate data and the quality of the spatial classification over this complex topography, three linear regression methods, namely an analytic method based on multiple regression and residues (AMMRR), a modification of the AMMRR method through adding the effect of slope and aspect to the interpolation analysis (M-AMMRR) and a method which replaces the IDW approach for residue interpolation in M-AMMRR with an ordinary kriging approach (I-AMMRR), for interpolating climate variables were evaluated. The interpolation outcomes from the best interpolation method were then used in the CSCS model to classify the grassland in the study area. Climate variables interpolated included the annual cumulative temperature and annual total precipitation. The results indicated that the AMMRR and M-AMMRR methods generated acceptable climate surfaces but the best model fit and cross validation result were achieved by the I-AMMRR method. Twenty-six grassland classes were classified for the study area. The four grassland vegetation classes that covered more than half of the total study area were "cool temperate-arid temperate zonal semi-desert", "cool temperate-humid forest steppe and deciduous broad-leaved forest", "temperate-extra-arid temperate zonal desert", and "frigid per-humid rain tundra and alpine meadow". The vegetation classification map generated in this study provides spatial information on the locations and extents of the different grassland classes. This information can be used to facilitate government agencies' decision-making in land-use planning and environmental management, and for vegetation and biodiversity conservation. The information can also be used to assist land managers in the estimation of safe carrying capacities which will help to prevent overgrazing and land degradation.
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The concept of affordance has different interpretations in the field of Human-Computer Interaction (HCI). However, its treatment has been merely as a one-to-one relationship between a user and a technology. We believe that a broader view of affordances is needed which encompasses social and cultural aspects of our everyday life. We propose an interaction-centered view of affordance that can be useful for developing better understandings of designed artefacts. An interaction-centered view of affordance suggests that affordance is an interpretative relationship between users and the technology that emerges during the users' interaction with the technology in the lived environments. We distinguish two broad classes of affordances: affordance in Information and affordance in Articulation. Affordance in information refers to users' understanding of a technology based on their semantic and syntactic interpretation; and affordance in articulation refers to users' interpretations about the use of the technology. We also argue that the notion of affordance should be treated at two levels: at the 'artefact level' and at the 'practice level'. Consequently, we provide two examples to demonstrate our arguments.
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This is an exploratory study into the effective use of embedding custom made audiovisual case studies (AVCS) in enhancing the student’s learning experience. This paper describes a project that used AVCS for a large divergent cohort of undergraduate students, enrolled in an International Business course. The study makes a number of key contributions to advancing learning and teaching within the discipline. AVCS provide first hand reporting of the case material, where the students have the ability to improve their understanding from both verbal and nonverbal cues. The paper demonstrates how AVCS can be embedded in a student-centred teaching approach to capture the students’ interest and to enhance a deep approach to learning by providing real-world authentic experience.