862 resultados para Birmingham
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Introduction Emerging evidence suggests that patient-reported outcome (PRO)-specific information may be omitted in trial protocols and that PRO results are poorly reported, limiting the use of PRO data to inform cancer care. This study aims to evaluate the standards of PRO-specific content in UK cancer trial protocols and their arising publications and to highlight examples of best-practice PRO protocol content and reporting where they occur. The objective of this study is to determine if these early findings are generalisable to UK cancer trials, and if so, how best we can bring about future improvements in clinical trials methodology to enhance the way PROs are assessed, managed and reported. Hypothesis: Trials in which the primary end point is based on a PRO will have more complete PRO protocol and publication components than trials in which PROs are secondary end points.
Methods and analysis Completed National Institute for Health Research (NIHR) Portfolio Cancer clinical trials (all cancer specialities/age-groups) will be included if they contain a primary/secondary PRO end point. The NIHR portfolio includes cancer trials, supported by a range of funders, adjudged as high-quality clinical research studies. The sample will be drawn from studies completed between 31 December 2000 and 1 March 2014 (n=1141) to allow sufficient time for completion of the final trial report and publication. Two reviewers will then review the protocols and arising publications of included trials to: (1) determine the completeness of their PRO-specific protocol content; (2) determine the proportion and completeness of PRO reporting in UK Cancer trials and (3) model factors associated with PRO protocol and reporting completeness and with PRO reporting proportion.
Ethics and dissemination The study was approved by the ethics committee at University of Birmingham (ERN_15-0311). Trial findings will be disseminated via presentations at local, national and international conferences, peer-reviewed journals and social media including the CPROR twitter account and UOB departmental website (http://www.birmingham.ac.uk/cpro0r).
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The present article offers an historical perspective on the 1975, 1995 and 2007 Birmingham Agreed Syllabuses for Religious Education. It draws upon historical evidence uncovered as part of ‘The hidden history of curriculum change in reli- gious education in English schools, 1969–1979’ project, and curriculum history theories, especially David Labaree’s observations about the distance between the ‘rhetorical’ and ‘received’ curricula. We argue that, contrary to the existing his- toriography, curriculum change in religious education (RE) has been evolution- ary not revolutionary. Multiple reasons are posited to explain this, not least among which is the capacity and agency of teachers. Furthermore, we argue that ongoing debates about the nature and purpose of RE, as exemplified in the Birmingham context, reflect the multiple expectations that religious educators and other stakeholders had, and continue to have, of the curriculum subject. These debates contribute to the inertia evident in the implementation of RE cur- riculum reforms. A consciousness of the history of RE enables curriculum con- testations to be contextualised and understood, and, thereby, provides important insights which can be applied to ongoing and future debates and developments.
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Introduction: Childhood cancers are rare and community based health care professionals have limited experience in caring for these children and often even less experience in providing their palliative care. It is well recognised that the provision of palliative care falls beyond the remit of any one profession, thus inter professional working is the standard model. This qualitative study aims to examine the experiences of the range of health care professionals involved in providing palliative care at home for children with cancer, focusing on how knowledge is exchanged; the level of communication and support both interprofessionally and at the community/specialist interface. It also aims to examine interprofessional collaboration in palliative care; identifying healthcare professional's perceptions of problems involved, interprofessional boundaries, specific areas of the organisation or provision of care that could be enhanced through changes in practice, support issues and the educational needs of health professionals. Methods The study involves three types of data collection; in-depth interviews, facilitated case discussion (FCD) and field notes from up to 20 cases (a "case" refers to the provision of palliative care to one child). Cases are selected from children who were treated at one regional childhood caner centre. For each case the community based health care professionals (for example the GP, community nurse or health visitor) involved in the care of the child at home are invited to participate in a one-to-one tape recorded in-depth interview followed by a group discussion in the form of a FCD. Field notes are completed following each interview. Data analysis follows a grounded theory approach. The term "social worlds theory" (SWT) his used to define a type of social organisation with no fixed or formal boundaries (such as membership boundaries), for example the range of health professionals that work together to provide palliative care. The boundaries of SW's are determined by the interaction and communication between recognised organisations, such as community nursing teams and general practitioners. SWT examines encounters between different professional groups and can be used to extend knowledge in both the organisation (for example general practice) and the content of what is being provisioned (for example, palliative care). The use of SWT in the analysis of the data is through examining the ethos of the different professions and the associated individual approaches to palliative care, exploring how this determines their roles in the provision of palliative care. Results 10 cases have so far been completed: 47 1:1 interviews (with a range of between 2-7 health care professionals being involved in each case): ( 9 x GP, 19 x CCN, 4 x DN, 3 x HV, 1 x HV assistant 7 x paediatric palliative care nurses, 1 x home support worker, 1 x OT, 1 x physiotherapist, 1 x community paediatrician) and 5 x FCD. The range of participants in the FCDs reflected that of the individual interview sampler. Data obtained to date gives clear insight into the personal experience of the individual health care professional in providing palliative care. Two themes emerging from the data will be focused upon: the continuity of care provision throughout treatment and palliation and the emotional burden experiences by the health care professional. Conclusions SWT can provide a useful framework in examining the social worlds of a disparate group of health care professionals working together for the first and maybe, the only time. A wide variation in the continuity of care provision has been found not only between professions, but also within professions. The emotional burden is evident across the professions.
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Catalogue for an exhibition with works selected exclusively by Brendan Neiland. Neiland, who attended the Birmingham College of Art and the Royal College of Art, London during the 1960s, has selected works from a range of artists including: Val Archer, Sarah Armstrong-Jones, Sir Peter Blake, Simon Burton, Grace Erskine Crum, Brad Faine, James Fisher, Martin Fuller, Christian Furr, Annabel Gault, Jason Gibilaro, Hugh Gilbert, Michael Harrison, David Hepher, Patrick Hughes, Andrzej Jackowski, David Mach, Danny Markey, Terry New, William Packer, Tom Phillips (RA), Donald Smith, Justine Smith, Steve Thomas, John Wilkins
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Abstract. Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person's assignment. Unlike our previous work of using genetic algorithms whose learning is implicit, the learning in both approaches is explicit, i.e. we are able to identify building blocks directly. To achieve this target, the Bayesian optimization algorithm builds a Bayesian network of the joint probability distribution of the rules used to construct solutions, while the adapted classifier system assigns each rule a strength value that is constantly updated according to its usefulness in the current situation. Computational results from 52 real data instances of nurse scheduling demonstrate the success of both approaches. It is also suggested that the learning mechanism in the proposed approaches might be suitable for other scheduling problems.
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To demonstrate how the growing influence of alternative media in civil society correlates with the rise of social movements and their influence on contemporary manifestations of resistance, this research uses critical ethnographic methodologies to document the narratives of alternative media producers in the pro-Indigenous and anti-“Chief” campaigns at the University of Illinois at Urbana-Champaign during the 2006-2007 school year. These narratives demonstrate not only the ways alternative media help transmit dissent by distributing information to diverse populations, but also the manner they facilitate contexts that influence identity formations and strengthen counter-cultural communal practices. Particular lineages of critical social theory are used to situate knowledge construction and social relationships within specific socio-historic contexts to approach issues of subjectivity, human agency, and resistance. These include the Frankfurt School for Social Research, the Birmingham Centre for Contemporary Cultural Studies, and the Brazilian education philosopher Paulo Freire, who emphasize criticality based on the engagement of ideological analysis, as well as developing capacities to critique and resist oppressive social and political relationships. Thus, this study argues for expanding traditional notions of literacy to include the ability to decode and produce media as a critical element of meaningful democratic participation.
Resumo:
Abstract. Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person's assignment. Unlike our previous work of using genetic algorithms whose learning is implicit, the learning in both approaches is explicit, i.e. we are able to identify building blocks directly. To achieve this target, the Bayesian optimization algorithm builds a Bayesian network of the joint probability distribution of the rules used to construct solutions, while the adapted classifier system assigns each rule a strength value that is constantly updated according to its usefulness in the current situation. Computational results from 52 real data instances of nurse scheduling demonstrate the success of both approaches. It is also suggested that the learning mechanism in the proposed approaches might be suitable for other scheduling problems.