483 research outputs found

    A case study of Facebook use:outlining a multi-layer strategy for higher education

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    Many students are looking to appropriate social networking sites, amongst them, Facebook, to enhance their learning experience. A growing body of literature reports on the motivation of students and staff to engage with Facebook as a learning platform as well as mapping such activities to pedagogy and curricula. This paper presents student opinions of the use of a Facebook strategy within higher education through the use of focus groups. Results show that the Facebook strategy is useful in promoting collaborative learning alongside the face-to-face delivery of content. Participants rebuked the perceived blurring of educational and social purposes, which is prevalent in the literature, with the current structure allowing a clear divide between their different uses of the site. The development of further guidelines for the use of Facebook for education is encouraged and recommendations are provided

    Calculating the Expected Value of Sample Information in Practice: Considerations from Three Case Studies

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    Investing efficiently in future research to improve policy decisions is an important goal. Expected Value of Sample Information (EVSI) can be used to select the specific design and sample size of a proposed study by assessing the benefit of a range of different studies. Estimating EVSI with the standard nested Monte Carlo algorithm has a notoriously high computational burden, especially when using a complex decision model or when optimizing over study sample sizes and designs. Therefore, a number of more efficient EVSI approximation methods have been developed. However, these approximation methods have not been compared and therefore their relative advantages and disadvantages are not clear. A consortium of EVSI researchers, including the developers of several approximation methods, compared four EVSI methods using three previously published health economic models. The examples were chosen to represent a range of real-world contexts, including situations with multiple study outcomes, missing data, and data from an observational rather than a randomized study. The computational speed and accuracy of each method were compared, and the relative advantages and implementation challenges of the methods were highlighted. In each example, the approximation methods took minutes or hours to achieve reasonably accurate EVSI estimates, whereas the traditional Monte Carlo method took weeks. Specific methods are particularly suited to problems where we wish to compare multiple proposed sample sizes, when the proposed sample size is large, or when the health economic model is computationally expensive. All the evaluated methods gave estimates similar to those given by traditional Monte Carlo, suggesting that EVSI can now be efficiently computed with confidence in realistic examples.Comment: 11 pages, 3 figure

    A three-arm randomized controlled trial of Lidcombe Program and Westmead Program early stuttering interventions

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    Purpose: To compare two experimental Westmead Program treatments with a control Lidcombe Program treatment for early stuttering. Method: The design was a three-arm randomized controlled trial with blinded outcome assessments 9 months post-randomization. Participants were 91 pre-school children. Results: There was no evidence of difference in percentage syllables stuttered at 9 months among groups. Dropout rates were substantive and may have been connected with novel aspects of the trial design: the use of community clinicians, no exclusion criteria, and randomization of children younger than 3 years of age. Conclusion: The substantive dropout rate for all three arms in this trial means that any conclusions about the 9-month stuttering outcomes must be regarded as tentative. However, continued development of the Westmead Program is warranted, and we are currently constructing an internet version

    Aerosol Data Sources and Their Roles within PARAGON

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    We briefly but systematically review major sources of aerosol data, emphasizing suites of measurements that seem most likely to contribute to assessments of global aerosol climate forcing. The strengths and limitations of existing satellite, surface, and aircraft remote sensing systems are described, along with those of direct sampling networks and ship-based stations. It is evident that an enormous number of aerosol-related observations have been made, on a wide range of spatial and temporal sampling scales, and that many of the key gaps in this collection of data could be filled by technologies that either exist or are expected to be available in the near future. Emphasis must be given to combining remote sensing and in situ active and passive observations and integrating them with aerosol chemical transport models, in order to create a more complete environmental picture, having sufficient detail to address current climate forcing questions. The Progressive Aerosol Retrieval and Assimilation Global Observing Network (PARAGON) initiative would provide an organizational framework to meet this goal

    Pit Crew Approach to Pre Hospital Trauma Resuscitation

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    IntroductionPre hospital trauma care is often delivered by dual crewed ambulances supported by additional resources as necessary and available. Coordinating resuscitation of a critically injured patient may require multiple simultaneous actions. Equally, a large number of practitioners can hinder patient care if not coordinated.AimsTo describe a multi disciplinary, scaleabe approach to pre hospital trauma care suitable for small and large multi disciplinary teams. Methods The MCI medical team (as part of Motorsport Rescue Services) is a PHECC-registered multidisciplinary team, which provides medical cover at Motorcycle road racing events in Ireland. The MCI medical team has significant experience of major trauma and routinely performs prehospital anaesthesia for trauma patients. We have evolved a pit crew approach to trauma care with pre defined roles and interventions assigned to a five person team, three clinical members, a scribe and a team lead. The approach is both scalable and collapsible, meaning that if multiple patients are present, roles can be merged; if additional clinical input is required, roles can also be supplemented. Each team member carries equipment and medications specific to their role, allowing efficiencies at the patients side.ResultsThe pit crew approach to pre hospital trauma care has evolved over a decade and is routinely implemented at motorcycle road races in Ireland.ConclusionsThe pit crew trauma approach, although applicable to a pre defined five person team in unique circumstances, may also be applicable to ad hoc clinical teams that typically form in the pre hospital arena

    A randomised controlled feasibility study of group cognitive behavioural therapy for people with severe asthma

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    Objectives: Evidence for the efficacy of Cognitive Behavioural Therapy (CBT) in asthma is developing but it is not known if this translates to benefits in severe asthma or if a group approach is acceptable to this patient group. This study aimed to assess the feasibility and acceptability of Group-CBT in severe asthma. Method: This was a two-centre, randomised controlled parallel group feasibility study. Eligible participants (patients with severe asthma and a clinically significant diagnosis of anxiety and/or depression – Hospital Anxiety and Depression Scale (HAD) score greater than 8 for the anxiety or depression sub-scale) received Group-CBT in weekly sessions for eight consecutive weeks and usual care or usual care only. Follow-up was for 16 weeks and end points were: Asthma Quality of Life Questionnaire, Asthma Control Questionnaire, HAD, Dyspnoea-12, EuroQual-5D and EuroQuol-VAS. Results: 51 patients were randomised: 36% (51 out of 140) consent rate and 25% (13/51) attrition at week 16. Screening logs indicated that study take-up was influenced by patients living long distances from the treatment centre and inability to commit to the weekly demands of the programme. Drop-out was higher in Group-CBT compared due to inability to commit to the weekly programme because of poor health. Participants who contributed to focus group discussions reported that Group-CBT contributed to a better understanding of their illness and related approaches to anxiety management and acceptance of their asthma condition. Although weekly face-to-face sessions were challenging, this was the preferred method of delivery for these participants. Conclusions: This feasibility study shows that Group-CBT warrants further investigation as a potentially promising treatment option for patients with severe asthma. It has been possible but not easy to recruit and retain the sample. Options for a less demanding intervention schedule, such as less frequent face-to-face visits and the use of web-based interventions, require careful consideration

    A randomised controlled feasibility trial of Group Cognitive Behavioural Therapy for people with severe asthma

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    Evidence for the efficacy of Cognitive Behavioural Therapy (CBT) in asthma is developing but it is not known if this translates to benefits in severe asthma or if a group approach is acceptable to this patient group. This study aimed to assess the feasibility and acceptability of Group-CBT in severe asthma.This was a two-centre, randomised controlled parallel group feasibility study. Eligible participants (patients with severe asthma and a clinically significant diagnosis of anxiety and/or depression - Hospital Anxiety and Depression Scale (HAD) score greater than 8 for the anxiety or depression sub-scale) received Group-CBT in weekly sessions for eight consecutive weeks and usual care or usual care only. Follow-up was for 16 weeks and end points were: Asthma Quality of Life Questionnaire, Asthma Control Questionnaire, HAD, Dyspnoea-12, EuroQual-5D and EuroQuol-VAS.51 patients were randomised: 36% (51 out of 140) consent rate and attrition at week 16 was 12. Screening logs indicated that study take-up was influenced by patients living long distances from the treatment centre and inability to commit to the weekly demands of the programme. Drop-out was higher in Group-CBT compared due to inability to commit to the weekly programme because of poor health. Participants who contributed to focus group discussions reported that Group-CBT contributed to a better understanding of their illness and related approaches to anxiety management and acceptance of their asthma condition. Although weekly face-to-face sessions were challenging, this was the preferred method of delivery for these participants.This feasibility study shows that Group-CBT warrants further investigation as a potentially promising treatment option for patients with severe asthma. It has been possible but not easy to recruit and retain the sample. Options for a less demanding intervention schedule, such as less frequent face-to-face visits and the use of web-based interventions, require careful consideration

    Spain as an emergency air traffic hub during volcanic air fall events? Evidence of past volcanic ash air fall over Europe during the late Pleistocene.

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    Past volcanic eruptions often leave visible ash layers in the geological record, for example in marine or lake sedimentary sequences. Recent developments, however, have shown that non-visible volcanic ash layers are also commonly preserved in sedimentary deposits. These augment the record of past volcanic events by demonstrating that past ash dispersals have been more numerous and widely disseminated in Europe than previously appreciated. The dispersal ‘footprints’ of some large late Pleistocene European eruptions are examined here in the light of the recent Eyjafjallajökull eruption. For example, the Vedde Ash which was erupted from Iceland around 12 thousand years ago, delivered distal (and non-visible) glass deposits as far south as Switzerland and as far east as the Ural Mountains in Russia, with an overall European distribution remarkably similar to the dominant tracks of the recent Eyjafjallajökull plum

    An Integrated Approach for Characterizing Aerosol Climate Impacts and Environmental Interactions

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    Aerosols exert myriad influences on the earth's environment and climate, and on human health. The complexity of aerosol-related processes requires that information gathered to improve our understanding of climate change must originate from multiple sources, and that effective strategies for data integration need to be established. While a vast array of observed and modeled data are becoming available, the aerosol research community currently lacks the necessary tools and infrastructure to reap maximum scientific benefit from these data. Spatial and temporal sampling differences among a diverse set of sensors, nonuniform data qualities, aerosol mesoscale variabilities, and difficulties in separating cloud effects are some of the challenges that need to be addressed. Maximizing the long-term benefit from these data also requires maintaining consistently well-understood accuracies as measurement approaches evolve and improve. Achieving a comprehensive understanding of how aerosol physical, chemical, and radiative processes impact the earth system can be achieved only through a multidisciplinary, inter-agency, and international initiative capable of dealing with these issues. A systematic approach, capitalizing on modern measurement and modeling techniques, geospatial statistics methodologies, and high-performance information technologies, can provide the necessary machinery to support this objective. We outline a framework for integrating and interpreting observations and models, and establishing an accurate, consistent, and cohesive long-term record, following a strategy whereby information and tools of progressively greater sophistication are incorporated as problems of increasing complexity are tackled. This concept is named the Progressive Aerosol Retrieval and Assimilation Global Observing Network (PARAGON). To encompass the breadth of the effort required, we present a set of recommendations dealing with data interoperability; measurement and model integration; multisensor synergy; data summarization and mining; model evaluation; calibration and validation; augmentation of surface and in situ measurements; advances in passive and active remote sensing; and design of satellite missions. Without an initiative of this nature, the scientific and policy communities will continue to struggle with understanding the quantitative impact of complex aerosol processes on regional and global climate change and air quality
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