205 resultados para fitting trends prescribing habits


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Background: In response to health workforce shortages policymakers have considered expanding the roles that a health professional may perform. A more traditional combination of health professional roles is that of a dispensing doctor (DD) who routinely prescribes and dispenses pharmaceuticals. A systematic review conducted on mainly overseas DDs’ practices found that DDs tended to prescribe more items per patients, less often generically, and showed poorer adherence to best practice. Convenience for patients was cited by both patients and DDs as the main reason for dispensing. In Australia, rural doctors are allowed to dispense Pharmaceutical Benefit Scheme (PBS) subsidised pharmaceutical benefits if there is no reasonable pharmacy coverage. Little was known about the practices of these Australian DDs. Objectives: To examine the PBS prescribing patterns of dispensing with matched non-dispensing doctors and identify factors that influence prescribing behaviour. Method: A sequential explanatory (QUAN-->qual) mixed methodology was utilised. Firstly, rurality-matched DDs’ and non-DDs’ PBS data for fiscal years 2005-7 were analysed against criteria distilled from a systematic review and stakeholder consultations. Secondly, structured interviews were conducted with a purposive sample of DDs to examine the quantitative findings. Key findings: DDs prescribed significantly fewer PBS prescriptions per patients but used Regulation 24 significantly more than non-DDs. Regulation 24 biased the prescribing data. DDs prescribed proportionally more penicillin type antibiotics, adrenergic inhalants and non-steroidal anti-inflammatories as compared to non-DDs. Reasons offered by DD-respondents highlighted that prescribing was influenced by an awareness of cost to the patients, peer pressure and confidential prescriber feedback provided on a regular basis. Implications: This innovative census study does not support international data that DDs are less judicious in their prescribing. There is some evidence that DDs might reduce health inequity between rural and urban Australian, and that the DD health model is valuable to patients in isolated communities.

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Early childhood education for sustainability (ECEfS) is an emerging field within education – a synthesis of early childhood education and education for sustainability. As a distinct field of educational inquiry and practice, it is less than 20 years old in Australia. My personal story is one that emerged from teaching Aboriginal children in an Indigenous community. These experiences made me question the marginalization of Indigenous peoples in Australian society, the colonizing impacts of education, gave me deeper understandings of human-environment interactions, and the effects of poverty and powerlessness on options for Indigenous people in Australia and elsewhere where people and their lands have been exploited. These experiences saw me return to university to undertake a degree in environmental studies to help me better understand the nexus between society, environment and economy. Hence my background in education for sustainability comes as much from the social sciences as from the biological/ecological sciences and shapes my orientation to my work in ECEFS...

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Technological growth in the 21st century is exponential. Simultaneously, development of the associated risk, uncertainty and user acceptance are scattered. This required appropriate study to establish people accepting controversial technology (PACT). The Internet and services around it, such as World Wide Web, e-mail, instant messaging and social networking are increasingly becoming important in many aspects of our lives. Information related to medical and personal health sharing using the Internet is controversial and demand validity, usability and acceptance. Whilst literature suggest, Internet enhances patients and physicians’ positive interactions some studies establish opposite of such interaction in particular the associated risk. In recent years Internet has attracted considerable attention as a means to improve health and health care delivery. However, it is not clear how widespread the use of Internet for health care really is or what impact it has on health care utilisation. Estimated impact of Internet usage varies widely from the locations locally and globally. As a result, an estimate (or predication) of Internet use and their effects in Medical Informatics related decision-making is impractical. This open up research issues on validating and accepting Internet usage when designing and developing appropriate policy and processes activities for Medical Informatics, Health Informatics and/or e-Health related protocols. Access and/or availability of data on Internet usage for Medical Informatics related activities are unfeasible. This paper presents a trend analysis of the growth of Internet usage in medical informatics related activities. In order to perform the analysis, data was extracted from ERA (Excellence Research in Australia) ranked “A” and “A*” Journal publications and reports from the authenticated public domain. The study is limited to the analyses of Internet usage trends in United States, Italy, France and Japan. Projected trends and their influence to the field of medical informatics is reviewed and discussed. The study clearly indicates a trend of patients becoming active consumers of health information rather than passive recipients.

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Objective: To evaluate the prescribing practices of Australian dispensing doctors (DDs) and to explore their interpretations of the findings. Design, participants and setting: Sequential explanatory mixed methods. The quantitative phase comprised analysis of Pharmaceutical Benefits Scheme (PBS) claims data of DDs and non-DDs, 1 July 2005 30 June 2007. The qualitative phase involved semi-structured interviews with DDs in rural and remote general practice across Australian states, August 2009 February 2010. Main outcome measures: The number of PBS prescriptions per 1000 patients and use of Regulation 24 of the National Health (Pharmaceutical Benefits) Regulations 1960 (r. 24); DDs' interpretation of the findings. Results: 72 DDs' and 1080 non-DDs' PBS claims data were analysed quantitatively. DDs issued fewer prescriptions per 1000 patients (9452 v 15057; P = 0.003), even with a similar proportion of concessional patients and patients aged >65 years in their populations. DDs issued significantly more r. 24 prescriptions per 1000 prescriptions than non-DDs (314 v 67; P=0.008). Interviews with 22 DDs explained that the fewer prescriptions were due to perceived expectation from their peers regarding prescribing norms and the need to generate less administrative paperwork in small practices. Conclusions: Contrary to overseas findings, we found no evidence that Australian DDs overprescribed because of their additional dispensing role. MJA 2011; 195: 172-175

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Food is inherently cultural yet traditionally overlooked in many disciplines as a topic worthy of serious investigation. This thesis investigates how food, as a topic of interest, is thriving in an online environment through recipe sharing on food blogs. It applies an ethnographic approach to online community studies, providing a rich description of the food blogging community. The thesis demonstrates how the food blogging can be seen as a community. Through a case study focusing on a one recipe shared across many blogs, it also examines the community in action. As the community has grown, it has become more complex, structured and diverse. The thesis examines its evolution and the response of food-related media and other industries to food blogging. The nature of the food blogging community reflects the cultural and social nature of food and the ongoing evolution of recipe sharing through food-related media. Food blogs provide an insight into the eating habits of ‘ordinary’ people, in a more broad-based manner than traditional food-related media such as cookbooks. Beyond this, food blogs are part of wider cultural trends towards DIY, and provide a useful example of the ongoing transformation of food-related media, food culture, and indeed, culture more broadly.

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Background Knowledge of current trends in nurse-administered procedural sedation and analgesia (PSA) in the cardiac catheterisation laboratory (CCL) may provide important insights into how to improve safety and effectiveness of this practice. Objective To characterise current practice as well as education and competency standards regarding nurse-administered PSA in Australian and New Zealand CCLs. Design A quantitative, cross-sectional, descriptive survey design was used. Methods Data were collected using a web-based questionnaire on practice, educational standards and protocols related to nurse-administered PSA. Descriptive statistics were used to analyse data. Results A sample of 62 nurses, each from a different CCL, completed a questionnaire that focused on PSA practice. Over half of the estimated total number of CCLs in Australia and New Zealand was represented. Nurse-administered PSA was used in 94% (n = 58) of respondents CCLs. All respondents indicated that benzodiazepines, opioids or a combination of both is used for PSA (n = 58). One respondent indicated that propofol was also used. 20% (n = 12) indicated that deep sedation is purposefully induced for defibrillation threshold testing and cardioversion without a second medical practitioner present. Sedation monitoring practices vary considerably between institutions. 31% (n = 18) indicated that comprehensive education about PSA is provided. 45% (n = 26) indicated that nurses who administer PSA should undergo competency assessment. Conclusion By characterising nurse-administered PSA in Australian and New Zealand CCLs, a baseline for future studies has been established. Areas of particular importance to improve include protocols for patient monitoring and comprehensive PSA education for CCL nurses in Australia and New Zealand.

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Sound Musicianship is a book for music educators and musicians about musicianship—about musical skills, abilities, habits, sensibilities and understandings. Musicianship is explored as a form of craftsmanship. Like most crafts, music requires a balance of theoretical knowledge and practical skills that contribute to a highly tuned ability to appreciate and express music. In particular, the book explores general trends that influence musicianship in the twenty-first century, such as an increased reliance on digital media, greater awareness of the neurological basis for musical behaviour, a renewed interest in connections between bodily movements and musical expression, and increased cultural plurality resulting from more frequent travel, increased levels of migration and ubiquitous telecommunications. The book has a deliberate focus on the developmental aspects of musicianship, which will benefit those hoping to advance their own music learning or that of others. It includes a diverse range of views and perspectives on musicianship and is organised into five sections. The first four sections explore the implications of music understood as sound, experience, motion and culture, respectively. In these sections, leading researchers and thinkers outline important issues and debates that are relevant to developing the crafts of music making and they share insights into recent trends and understandings. The final section of the book looks at educational considerations and provides a series of case studies that document innovative approaches to developing musicianship. Readers will encounter some new, interesting and thought-provoking ideas within these pages. As we move further into the twenty-first century—with all the opportunities and challenges for music making it brings—the requirement to review our concepts of musicianship training will intensify, and the definition of a “sound basis” for a contemporary musicianship will evolve. This book is intended to help stimulate and inform that evolutionary process.

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Crashes that occur on motorways contribute to a significant proportion (40-50%) of non-recurrent motorway congestions. Hence, reducing the frequency of crashes assists in addressing congestion issues (Meyer, 2008). Crash likelihood estimation studies commonly focus on traffic conditions in a short time window around the time of a crash while longer-term pre-crash traffic flow trends are neglected. In this paper we will show, through data mining techniques that a relationship between pre-crash traffic flow patterns and crash occurrence on motorways exists. We will compare them with normal traffic trends and show this knowledge has the potential to improve the accuracy of existing models and opens the path for new development approaches. The data for the analysis was extracted from records collected between 2007 and 2009 on the Shibuya and Shinjuku lines of the Tokyo Metropolitan Expressway in Japan. The dataset includes a total of 824 rear-end and sideswipe crashes that have been matched with crashes corresponding to traffic flow data using an incident detection algorithm. Traffic trends (traffic speed time series) revealed that crashes can be clustered with regards to the dominant traffic patterns prior to the crash. Using the K-Means clustering method with Euclidean distance function allowed the crashes to be clustered. Then, normal situation data was extracted based on the time distribution of crashes and were clustered to compare with the “high risk” clusters. Five major trends have been found in the clustering results for both high risk and normal conditions. The study discovered traffic regimes had differences in the speed trends. Based on these findings, crash likelihood estimation models can be fine-tuned based on the monitored traffic conditions with a sliding window of 30 minutes to increase accuracy of the results and minimize false alarms.

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Active Appearance Models (AAMs) employ a paradigm of inverting a synthesis model of how an object can vary in terms of shape and appearance. As a result, the ability of AAMs to register an unseen object image is intrinsically linked to two factors. First, how well the synthesis model can reconstruct the object image. Second, the degrees of freedom in the model. Fewer degrees of freedom yield a higher likelihood of good fitting performance. In this paper we look at how these seemingly contrasting factors can complement one another for the problem of AAM fitting of an ensemble of images stemming from a constrained set (e.g. an ensemble of face images of the same person).

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Aim Worldwide obesity levels have increased unprecedentedly over the past couple of decades. Although the prevalence, trends and associated socio-economic factors of the condition have been extensively reported in Western populations, less is known regarding South Asian populations. Methods A review of articles using Medline with combinations of the MeSH terms: 'Obesity', 'Overweight' and 'Abdominal Obesity' limiting to epidemiology and South Asian countries. Results Despite methodological heterogeneity and variation according to country, area of residence and gender , the most recent nationally representative and large regional data demonstrates that without any doubt there is a epidemic of obesity, overweight and abdominal obesity in South Asian countries. Prevalence estimates of overweight and obesity (based on Asian cut-offs: overweight ≥ 23 kg/m(2), obesity ≥ 25 kg/m(2)) ranged from 3.5% in rural Bangladesh to over 65% in the Maldives. Abdominal obesity was more prevalent than general obesity in both sexes in this ethnic group. Countries with the lowest prevalence had the highest upward trend of obesity. Socio-economic factors associated with greater obesity in the region included female gender, middle age, urban residence, higher educational and economic status. Conclusion South Asia is significantly affected by the obesity epidemic. Collaborative public health interventions to reverse these trends need to be mindful of many socio-economic constraints in order to provide long-term solutions.

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Successful anatomic fitting of a total artificial heart (TAH) is vital to achieve optimal pump hemodynamics after device implantation. Although many anatomic fitting studies have been completed in humans prior to clinical trials, few reports exist that detail the experience in animals for in vivo device evaluation. Optimal hemodynamics are crucial throughout the in vivo phase to direct design iterations and ultimately validate device performance prior to pivotal human trials. In vivo evaluation in a sheep model allows a realistically sized representation of a smaller patient, for which smaller third-generation TAHs have the potential to treat. Our study aimed to assess the anatomic fit of a single device rotary TAH in sheep prior to animal trials and to use the data to develop a threedimensional, computer-aided design (CAD)-operated anatomic fitting tool for future TAH development. Following excision of the native ventricles above the atrio-ventricular groove, a prototype TAH was inserted within the chest cavity of six sheep (28–40 kg).Adjustable rods representing inlet and outlet conduits were oriented toward the center of each atrial chamber and the great vessels, with conduit lengths and angles recorded for future analysis. A threedimensional, CAD-operated anatomic fitting tool was then developed, based on the results of this study, and used to determine the inflow and outflow conduit orientation of the TAH. The mean diameters of the sheep left atrium, right atrium, aorta, and pulmonary artery were 39, 33, 12, and 11 mm, respectively. The center-to-center distance and outer-edge-to-outer-edge distance between the atria, found to be 39 ± 9 mm and 72 ± 17 mm in this study, were identified as the most critical geometries for successful TAH connection. This geometric constraint restricts the maximum separation allowable between left and right inlet ports of a TAH to ensure successful alignment within the available atrial circumference.

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Crashes that occur on motorways contribute to a significant proportion (40-50%) of non-recurrent motorway congestion. Hence, reducing the frequency of crashes assist in addressing congestion issues (Meyer, 2008). Analysing traffic conditions and discovering risky traffic trends and patterns are essential basics in crash likelihood estimations studies and still require more attention and investigation. In this paper we will show, through data mining techniques, that there is a relationship between pre-crash traffic flow patterns and crash occurrence on motorways, compare them with normal traffic trends, and that this knowledge has the potentiality to improve the accuracy of existing crash likelihood estimation models, and opens the path for new development approaches. The data for the analysis was extracted from records collected between 2007 and 2009 on the Shibuya and Shinjuku lines of the Tokyo Metropolitan Expressway in Japan. The dataset includes a total of 824 rear-end and sideswipe crashes that have been matched with crashes corresponding traffic flow data using an incident detection algorithm. Traffic trends (traffic speed time series) revealed that crashes can be clustered with regards to the dominant traffic patterns prior to the crash occurrence. K-Means clustering algorithm applied to determine dominant pre-crash traffic patterns. In the first phase of this research, traffic regimes identified by analysing crashes and normal traffic situations using half an hour speed in upstream locations of crashes. Then, the second phase investigated the different combination of speed risk indicators to distinguish crashes from normal traffic situations more precisely. Five major trends have been found in the first phase of this paper for both high risk and normal conditions. The study discovered traffic regimes had differences in the speed trends. Moreover, the second phase explains that spatiotemporal difference of speed is a better risk indicator among different combinations of speed related risk indicators. Based on these findings, crash likelihood estimation models can be fine-tuned to increase accuracy of estimations and minimize false alarms.

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Natural disasters can have adverse effect on human lives. To raise the awareness of research and better combat future events, it is important to identify recent research trends in the area of post disaster reconstruction (PDR). The authors used a three-round literature review strategy to study journal papers published in the last decade that are related to PDR with specific conditions using the Scopus search engine. A wide range of PDR related papers from a general perspective was examined in the first two rounds while the final round established 88 papers as target publications through visual examination of the abstracts, keywords and as necessary, main texts. These papers were analysed in terms of research origins, active researchers, research organisations, most cited papers, regional concerns, major themes and deliverables, for clues of the past trends and future directions. The need for appropriate PDR research is increasingly recognised. The publication number multiplied 5 times from 2002 to 2012. For PDR research with a construction perspective, the increase is sixfold. Developing countries such as those in Asia attract almost 50% researchers' attention for regional concerns while the US is the single most concentrated (24%) country. Africa is hardly represented. Researchers in developed countries lead in worldwide PDR research. This contrasts to the need for expertise in developing countries. Past works focused on waste management, stakeholder analysis, resourcing, infrastructure issue, resilience and vulnerability, reconstruction approach, sustainable reconstruction and governance issues. Future research should respond to resourcing, integrated development, sustainability and resilience building to cover the gaps. By means of a holistic summary and structured analysis of key patterns, the authors hope to provide a streamlined access to existing research findings and make predictions of future trends. They also hope to encourage a more holistic approach to PDR research and international collaborations.

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Digital Human Models (DHM) have been used for over 25 years. They have evolved from simple drawing templates, which are nowadays still used in architecture, to complex and Computer Aided Engineering (CAE) integrated design and analysis tools for various ergonomic tasks. DHM are most frequently used for applications in product design and production planning, with many successful implementations documented. DHM from other domains, as for example computer user interfaces, artificial intelligence, training and education, or the entertainment industry show that there is also an ongoing development towards a comprehensive understanding and holistic modeling of human behavior. While the development of DHM for the game sector has seen significant progress in recent years, advances of DHM in the area of ergonomics have been comparatively modest. As a consequence, we need to question if current DHM systems are fit for the design of future mobile work systems. So far it appears that DHM in Ergonomics are rather limited to some traditional applications. According to Dul et al. (2012), future characteristics of Human Factors and Ergonomics (HFE) can be assigned to six main trends: (1) global change of work systems, (2) cultural diversity, (3) ageing, (4) information and communication technology (ICT), (5) enhanced competiveness and the need for innovation, and; (6) sustainability and corporate social responsibility. Based on a literature review, we systematically investigate the capabilities of current ergonomic DHM systems versus the ‘Future of Ergonomics’ requirements. It is found that DHMs already provide broad functionality in support of trends (1) and (2), and more limited options in regards to trend (3). Today’s DHM provide access to a broad range of national and international databases for correct differentiation and characterization of anthropometry for global populations. Some DHM explicitly address social and cultural modeling of groups of people. In comparison, the trends of growing importance of ICT (4), the need for innovation (5) and sustainability (6) are addressed primarily from a hardware-oriented and engineering perspective and not reflected in DHM. This reflects a persistent separation between hardware design (engineering) and software design (information technology) in the view of DHM – a disconnection which needs to be urgently overcome in the era of software defined user interfaces and mobile devices. The design of a mobile ICT-device is discussed to exemplify the need for a comprehensive future DHM solution. Designing such mobile devices requires an approach that includes organizational aspects as well as technical and cognitive ergonomics. Multiple interrelationships between the different aspects result in a challenging setting for future DHM. In conclusion, the ‘Future of Ergonomics’ pose particular challenges for DHM in regards to the design of mobile work systems, and moreover mobile information access.