878 resultados para Patient-Doctor Communication


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Abstract Study design: A prospective investigation of patients undergoing lumbar spine surgery. Objective: Is there a correlation between patient’s expectations before lumbar surgery, postoperative outcomes and satisfaction levels? Methods: A prospective study of 145 patients undergoing primary, single-level surgery for degenerative lumbar conditions was conducted. Oswestry Disability Index (ODI), back visual analogue scale (VAS) and leg VAS were assessed pre-operatively and at 6 weeks and 6 months post-surgery. Patients’ expectations were measured pre-operatively by asking them to score the level of pain and disability that would be least acceptable for them to undergo surgery and be satisfied. Satisfaction was assessed six weeks post-operatively with a Likert scale. Differences in patient expectations between actual and expected improvements were quantified. Results: Most patients had a clinically relevant improvement, but only about half achieved their expectation. Satisfaction did not correlate with pre-operative pain or disability, or with patient expectation of improvement. Instead, satisfaction correlated with positive outcomes. Conclusions Patient expectations have little bearing on final outcome and satisfaction.

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Corporate activities are increasingly scrutinized for their effect on society and the environment. It is unthinkable that a corporation today will declare publicly that its only goal is to make money for its shareholders. Instead, corporations typically claim to balance the needs of society and the environment against the need to make a profit. That is, corporations say they practice corporate social responsibility (CSR). This edited volume explores the complexities of this seemingly simple claim.As such it is an essential resource to complement the latest academic thinking from management and communication research on how corporations communicate about CSR This chapter presents an overview of the book.

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A key strategy in facilitating learning in Open Disclosure training is the use of hypothetical, interactive scenarios called ‘simulations’. According to Clapper (2010), the ‘advantages of using simulation are numerous and include the ability to help learners make meaning of complex tasks, while also developing critical thinking and cultural skills’. Simulation, in turn, functions largely through improvisation and role-play, in which participants ‘act out’ particular roles and characters according to a given scenario, without recourse to a script. To maximise efficacy in the Open Disclosure training context, role-play requires the specialist skills of professionally trained actors. Core capacities that professional actors bring to the training process include (among others) believability, an observable and teachable skill which underpins the western traditions of actor training; and flexibility, which pertains to the actor’s ability to vary performance strategies according to the changing dynamics of the learning situation. The Patient Safety and Quality Improvement Service of Queensland Health utilises professional actors as a key component of their Open Disclosure Training Program. In engaging actors in this work, it is essential that Facilitators of Open Disclosure training have a solid understanding of the acting process: what acting is; how actors work to a brief; how they improvise; and how they sustainably manage a wide range of emotional states. In the simulation context, the highly skilled actor can optimise learning outcomes by adopting or enacting – in collaboration with the Facilitator - a pedagogical function.

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A paradigm shift is taking place in orthopaedic and reconstructive surgery. This transition from using medical devices and tissue grafts towards the utilization of a tissue engineering approach combines biodegradable scaffolds with cells and/or biological molecules in order to repair and/or regenerate tissues. One of the potential benefits offered by solid freeform fabrication (SFF) technologies is the ability to create such biodegradable scaffolds with highly reproducible architecture and compositional variation across the entire scaffold due to their tightly controlled computer-driven fabrication. Many of these biologically activated materials can induce bone formation at ectopic and orthotopic sites, but they have not yet gained widespread use due to several continuing limitations, including poor mechanical properties, difficulties in intraoperative handling, lack of porosity suitable for cellular and vascular infiltration, and suboptimal degradation characteristics. In this chapter, we define scaffold properties and attempt to provide some broad criteria and constraints for scaffold design and fabrication in combination with growth factors for bone engineering applications. Lastly, we comment on the current and future developments in the field, such as the functionalization of novel composite scaffolds with combinations of growth factors designed to promote cell attachment, cell survival, vascular ingrowth, and osteoinduction.

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The development of an intelligent plug-in electric vehicle (PEV) network is an important research topic in the smart grid environment. An intelligent PEV network enables a flexible control of PEV charging and discharging activities and hence PEVs can be utilized as ancillary service providers in the power system concerned. Given this background, an intelligent PEV network architecture is first developed, and followed by detailed designs of its application layers, including the charging and discharging controlling system, mobility and roaming management, as well as communication mechanisms associated. The presented architecture leverages the philosophy in mobile communication network buildup

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OBJECTIVE: To determine the point at which differences in clinical assessment scores on physical ability, pain and overall condition are sufficiently large to correspond to a subjective perception of a meaningful difference from the perspective of the patient. METHODS: Forty patients with a diagnosis of rheumatoid arthritis participated in an evening of clinical assessment and one-on-one conversations with each other regarding their arthritic condition. The assessments included tender and swollen joint counts, clinician and patient global assessments, participant assessment of pain and the Health Assessment Questionnaire (HAQ) on physical ability. After each conversation, participants rated themselves relative to their conversational partner on physical ability, pain and overall condition. These subjective comparative ratings were compared to the differences of the individual clinical assessments. RESULTS: In total there were 120 conversations. Generally participants judged themselves as less disabled than others. They rated themselves as "somewhat better" than their conversation partner when they had a (mean) 7% better score on the HAQ, 6% less pain, and 9% better global assessment. In contrast, they rated themselves as "somewhat worse" when they had a (mean) 16% worse score on the HAQ, 16% more pain, and 29% worse global assessment. CONCLUSIONS: Patients view clinically important differences in an asymmetric manner. These results can provide guidance in interpreting results and planning clinical trials.

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To date, the available literature mainly discusses Twitter activity patterns in the context of individual case studies, while comparative research on a large number of communicative events and their dynamics and patterns is missing. By conducting a comparative study of more than 40 different cases (covering topics such as elections, natural disasters, corporate crises, and televised events) we identify a number of distinct types of discussion that can be observed on Twitter. Drawing on a range of communicative metrics, we show that thematic and contextual factors influence the usage of different communicative tools available to Twitter users, such as original tweets, @replies, retweets, and URLs. Based on this first analysis of the overall metrics of Twitter discussions, we also demonstrate stable patterns in the use of Twitter in the context of major topics and events.

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Twitter is now well-established as an important platform for real-time public communication. Twitter research continues to lag behind these developments, with many studies remaining focused on individual case studies and utilizing home-grown, idiosyncratic, non-repeatable, and non-verifiable research methodologies. While the development of a full-blown “science of Twitter” may remain illusory, it is nonetheless necessary to move beyond such individual scholarship and toward the development of more comprehensive, transferable, and rigorous tools and methods for the study of Twitter on a large scale and in close to real time.

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