878 resultados para Qualitative evaluation


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Drink driving contributes towards high injury rates for Indigenous populations in Canada and Australia, particularly in more isolated regions. At present there is limited research on the cultural and psychosocial factors that underpin Indigenous peoples’ drink driving. This study is part of a broader project aiming to inform a culturally sensitive program. Qualitative interviews with 29 convicted Indigenous drink drivers (aged 20-51 years) from a remote region of Queensland, Australia were used to explore their cognitions about, and underlying motivation for, drink driving as well as the factors that might facilitate or impede it. Although a number of themes were identified, this paper will focus on the first theme, respondents’ self-perceived rationale for their behaviour. Two subthemes were identified: ‘being the hero’ referred to situations where respondents were motivated by a bravado mentality to drive after drinking despite having, on some occasions, the opportunity to avoid this (e.g. another person offering to drive); and ‘family obligations’ which referred to situations where respondents described pressure from members of their extended families to drive after drinking. The underlying responsibility for transporting family members appeared to be difficult to avoid and related to cultural values. Findings indicate the social and individual characteristics for younger drink drivers are similar to mainstream populations. However, the reinforcers for Indigenous drink drivers may be different for this population, consistent with findings on other Indigenous populations outside Australia. Specific programs should contain a family-centred approach and explore the kinship value system to build strategies around these strong relationships.

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Currently pathological and illness-centric policy surrounds the evaluation of the health status of a person experiencing disability. In this research partnerships were built between disability service providers, community development organizations and disability arts organizations to build a translational evaluative methodology prior to implementation of an arts-based workshop that was embedded in a strengths-based approach to health and well-being. The model consisted of three foci: participation in a pre-designed drama-based workshop program; individualized assessment and evaluation of changing health status; and longitudinal analysis of participants changing health status in their public lives following the culmination of the workshop series. Participants (n = 15) were recruited through disability service providers and disability arts organizations to complete a 13-week workshop series and public performance. The study developed accumulative qualitative analysis tools and member-checking methods specific to the communication systems used by individual participants. Principle findings included increased confidence for verbal and non-verbal communicators; increased personal drive, ambition and goal-setting; increased arts-based skills including professional engagements as artists; demonstrated skills in communicating perceptions of health status to private and public spheres. Tangential positive observations were evident in the changing recreational, vocational and educational activities participants engaged with pre- and post- the workshop series; participants advocating for autonomous accommodation and health provision and changes in the disability service staff's culture. The research is an example of translational health methodologies in disability studies.

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Objectives – To describe the development of an educational workshop to develop procedural skills in undergraduate Paramedic students using fresh frozen cadavers and to report the student’s assessment of the program. Methods – A six-hour anatomy based workshop was developed using fresh frozen cadavers to teach a range of airway and invasive procedural skills to second year undergraduate paramedic students. Embedded QUAN (qual) methodology will be utilised to evaluate the student’s satisfaction, perception and quality of teaching as compared to other existing clinical teaching techniques such as high fidelity simulation. Students will be asked to complete an anonymous validated survey (10 questions formulated on a 5 point Likert scale) and provide a qualitative feedback pre and post the six-hour workshop. Results – This is a prospective study planned for September 2013. Low-risk human research ethics are being sought. Teaching evaluation results from the inaugural 2012 workshop (undergraduate and postgraduate Paramedic students) and interim results for 2013 will be presented. Conclusions – Clinical teaching using fresh frozen cadavers thus far has predominately been used in the education of medical and surgical trainees. A number of studies have found them to be effective and in some cases superior to traditional high fidelity simulation teaching strategies. Fresh frozen cadavers are said to provide perfect anatomy, normal tissue consistency and a realistic operative training experience (Lloyd, Maxwell-Armstrong et al. 2011). The authors believe that this study will show that the use of fresh frozen cadavers offers a safe and effective mode to teach procedural skills to student paramedics that will help bridge the skills gap and increase confidence prior to students undertaking such interventions on living patients. A modified training program may be formulated for general practitioners undertaking Emergency Medicine Advanced Rural Skills.

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Background Psychosocial factors and physical health are associated with increased psychological distress post-heart transplant. Integrating findings from qualitative studies could highlight mechanisms for how these factors contribute to psychological well-being, thus aiding the development of interventions. Objective To integrate qualitative findings regarding adult heart transplant recipients experiences, such as their emotions, perceptions and attitudes. Methods A systematic review and meta-summary were conducted. Data from seven studies were categorized into 16 abstracted findings. Results The most prominent finding across the studies related to recipients’ perceptions of the importance of social support. Other prominent findings related to factors that promoted psychological well-being, such as faith, optimism and sense of control. Conclusions Psychological well-being may be improved by enhancing perceived control over health and daily life, promoting an optimistic outlook by facilitating access to social support from other heart transplant recipients and ensuring post-transplant recipient-caregiver partnerships adequately support the transition back to independence.

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Migraine is a common idiopathic primary headache disorder with significant mental, physical and social health implications. Accompanying an intense unilateral pulsating head pain other characteristic migraine symptoms include nausea, emesis, phonophobia, photophobia and in approximately 20-30% of migraine cases, neurologic disturbances associated with the aura phase. Although selective serotonin (5-HT) receptor agonists (i.e., 5-HT(1B/1D)) are successful in alleviating migrainous symptoms in < or = 70% of known sufferers, for the remaining 30%, additional migraine abortive medications remain unsuccessful, not tested or yet to be identified. Genetic characterization of the migrainous disorder is making steady progress with an increasing number of genomic susceptibility loci now identified on chromosomes 1q, 4q, 5q, 6p, 11q, 14q, 15q, 17p, 18q, 19p and Xq. The 4q, 5q, 17p and 18q loci involve endophenotypic susceptibility regions for various migrainous symptoms. In an effort to develop individualized pharmacotherapeutics, the identification of these migraine endophenotypic loci may well be the catalyst needed to aid in this goal. In this review the authors discuss the present treatment of migraine, known genomic susceptibility regions and results from migraine (genetic) association studies. The authors also discuss pharmacogenomic considerations for more individualized migraine prophylactic treatments.

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Multiple sclerosis (MS) is a complex autoimmune disorder of the CNS with both genetic and environmental contributing factors. Clinical symptoms are broadly characterized by initial onset, and progressive debilitating neurological impairment. In this study, RNA from MS chronic active and MS acute lesions was extracted, and compared with patient matched normal white matter by fluorescent cDNA microarray hybridization analysis. This resulted in the identification of 139 genes that were differentially regulated in MS plaque tissue compared to normal tissue. Of these, 69 genes showed a common pattern of expression in the chronic active and acute plaque tissues investigated (Pvalue<0.0001, ρ=0.73, by Spearman's ρ analysis); while 70 transcripts were uniquely differentially expressed (≥1.5-fold) in either acute or chronic active tissues. These results included known markers of MS such as the myelin basic protein (MBP) and glutathione S-transferase (GST) M1, nerve growth factors, such as nerve injury-induced protein 1 (NINJ1), X-ray and excision DNA repair factors (XRCC9 and ERCC5) and X-linked genes such as the ribosomal protein, RPS4X. Primers were then designed for seven array-selected genes, including transferrin (TF), superoxide dismutase 1 (SOD1), glutathione peroxidase 1 (GPX1), GSTP1, crystallin, alpha-B (CRYAB), phosphomannomutase 1 (PMM1) and tubulin β-5 (TBB5), and real time quantitative (Q)-PCR analysis was performed. The results of comparative Q-PCR analysis correlated significantly with those obtained by array analysis (r=0.75, Pvalue<0.01, by Pearson's bivariate correlation). Both chronic active and acute plaques shared the majority of factors identified suggesting that quantitative, rather than gross qualitative differences in gene expression pattern may define the progression from acute to chronic active plaques in MS.

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This paper details the participation of the Australian e- Health Research Centre (AEHRC) in the ShARe/CLEF 2013 eHealth Evaluation Lab { Task 3. This task aims to evaluate the use of information retrieval (IR) systems to aid consumers (e.g. patients and their relatives) in seeking health advice on the Web. Our submissions to the ShARe/CLEF challenge are based on language models generated from the web corpus provided by the organisers. Our baseline system is a standard Dirichlet smoothed language model. We enhance the baseline by identifying and correcting spelling mistakes in queries, as well as expanding acronyms using AEHRC's Medtex medical text analysis platform. We then consider the readability and the authoritativeness of web pages to further enhance the quality of the document ranking. Measures of readability are integrated in the language models used for retrieval via prior probabilities. Prior probabilities are also used to encode authoritativeness information derived from a list of top-100 consumer health websites. Empirical results show that correcting spelling mistakes and expanding acronyms found in queries signi cantly improves the e ectiveness of the language model baseline. Readability priors seem to increase retrieval e ectiveness for graded relevance at early ranks (nDCG@5, but not precision), but no improvements are found at later ranks and when considering binary relevance. The authoritativeness prior does not appear to provide retrieval gains over the baseline: this is likely to be because of the small overlap between websites in the corpus and those in the top-100 consumer-health websites we acquired.

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The Australian e-Health Research Centre (AEHRC) recently participated in the ShARe/CLEF eHealth Evaluation Lab Task 1. The goal of this task is to individuate mentions of disorders in free-text electronic health records and map disorders to SNOMED CT concepts in the UMLS metathesaurus. This paper details our participation to this ShARe/CLEF task. Our approaches are based on using the clinical natural language processing tool Metamap and Conditional Random Fields (CRF) to individuate mentions of disorders and then to map those to SNOMED CT concepts. Empirical results obtained on the 2013 ShARe/CLEF task highlight that our instance of Metamap (after ltering irrelevant semantic types), although achieving a high level of precision, is only able to identify a small amount of disorders (about 21% to 28%) from free-text health records. On the other hand, the addition of the CRF models allows for a much higher recall (57% to 79%) of disorders from free-text, without sensible detriment in precision. When evaluating the accuracy of the mapping of disorders to SNOMED CT concepts in the UMLS, we observe that the mapping obtained by our ltered instance of Metamap delivers state-of-the-art e ectiveness if only spans individuated by our system are considered (`relaxed' accuracy).

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Problem: In response to an identified need, a specialist antenatal clinic for women from refugee backgrounds was introduced in 2008, with an evaluation planned and completed in 2010. Question: Can maternity care experiences for women from refugee backgrounds, attending a specialist antenatal clinic in a tertiary Australian public hospital, be improved? Methods: The evaluation employed mixed methods, generating qualitative and quantitative data from two hospital databases, a chart audit, surveys and interviews with service users, providers and stakeholders. Contributions were received from 202 participants. Findings: The clinic was highly regarded by all participants. Continuity of care throughout the antenatal period was particularly valued by newly arrived women as it afforded them security and support to negotiate an unfamiliar Western maternity system. Positive experiences decreased however; as women transitioned from the clinic to labour and postnatal wards where they reported that their traditional birthing and recuperative practices were often interrupted by the imposition of Western biomedical notions of appropriate care. The centrally located clinic was problematic, frequently requiring complex travel arrangements. Appointment schedules often impacted negatively on traditional spousal and family obligations. Conclusions: Providing comprehensive and culturally responsive maternity care for women from refugee backgrounds is achievable, however it is also resource intensive. The production of translated information which is high quality in terms of production and content, whilst also taking account of languages which are only rarely encountered, is problematic. Cultural competency programmes for staff, ideally online, require regular updating in light of new knowledge and changing political sensitivities.

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Responding to the idea of child friendly communities, Play a Part is an innovative program advancing preventative strategies for children and young people to minimise exposure to abuse and neglect. The program was developed ensuing an increase in notifications of suspected child abuse and neglect in 2007. Now completing the second phase, the program is a community engagement strategy that aims to prevent child abuse. Play a Part is described as “a whole of community approach to creating child friendly communities” (NAPCAN, 2012). The Play a Part program was piloted between 2007 and 2010 in five southeast Queensland communities, and is currently operating in parts of Logan City region and the Redlands region. To assess the merit of the second phase of the program the Children and Youth Research Centre at Queensland University of Technology was contracted to undertake an evaluation-research at the beginning of 2013.

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Although transit travel time variability is essential for understanding the deterioration of reliability, optimising transit schedule and route choice; it has not attracted enough attention from the literature. This paper proposes public transport-oriented definitions of travel time variability and explores the distributions of public transport travel time using the Transit Signal Priority data. First, definitions of public transport travel time variability are established by extending the common definitions of variability in the literature and by using route and services data of public transport vehicles. Second, the paper explores the distribution of public transport travel time. A new approach for analysing the distributions involving all transit vehicles as well as vehicles from a specific route is proposed. The Lognormal distribution is revealed as the descriptors for public transport travel time from the same route and service. The methods described in this study could be of interest for both traffic managers and transit operators for planning and managing the transit systems.

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The Macroscopic Fundamental Diagram (MFD) relates space-mean density and flow, and the existence with dynamic features was confirmed in congested urban network with real data set from loop detectors and taxi probes. Since the MFD represents the area-wide network traffic performances, it gives foundations for perimeter control strategies and an area traffic state estimation enabling area-based network control. However, limited works have been reported on real world example from signalised arterial network. This paper fuses data from multiple sources (Bluetooth, Loops and Signals) and develops a framework for the development of the MFD for Brisbane. Existence of the MFD in Brisbane network is confirmed. Different MFDs (from whole network and several sub regions) are evaluated to discover the spatial partitioning in network performance representation.

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The HS program consists of a voluntary health screening and personalised feedback (via a website) which incorporates physical measurements, psychological stress assessment and blood tests. The following report describes the results of a research project that evaluated the effectiveness of the QPS-HS program and examines the health benefits it offers its participants. This report has three main areas that correspond to the research questions and includes three primary aims: 1.Review the literature pertaining to the health, social and economic value of wellness programs in workplaces. In particular, we reviewed policing worksites and other safety sensitive workplaces, to understand best-practice wellness programming and return on investment, in terms of value to employees, social value to the community, and economic value to employers; 2.Evaluate health outcomes of participants in the HS program, including physical measurements, such as blood tests and psychological well-being. These measures were to form an outcome evaluation and assess the effectiveness of the HS program in positively impacting physical and psychological health of HS participants; and 3.Assess employee awareness and perceptions of the HS program for a process evaluation.

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Lean strategies have been developed to eliminate or reduce manufacturing waste and thus improve operational efficiency in manufacturing processes. However, implementing lean strategies requires a large amount of resources and, in practice, manufacturers encounter difficulties in selecting appropriate lean strategies within their resource constraints. There is currently no systematic methodology available for selecting appropriate lean strategies within a manufacturer's resource constraints. In the lean transformation process, it is also critical to measure the current and desired leanness levels in order to clearly evaluate lean implementation efforts. Despite the fact that many lean strategies are utilized to reduce or eliminate manufacturing waste, little effort has been directed towards properly assessing the leanness of manufacturing organizations. In practice, a single or specific group of metrics (either qualitative or quantitative) will only partially measure the overall leanness. Existing leanness assessment methodologies do not offer a comprehensive evaluation method, integrating both quantitative and qualitative lean measures into a single quantitative value for measuring the overall leanness of an organization. This research aims to develop mathematical models and a systematic methodology for selecting appropriate lean strategies and evaluating the leanness levels in manufacturing organizations. Mathematical models were formulated and a methodology was developed for selecting appropriate lean strategies within manufacturers' limited amount of available resources to reduce their identified wastes. A leanness assessment model was developed by using the fuzzy concept to assess the leanness level and to recommend an optimum leanness value for a manufacturing organization. In the proposed leanness assessment model, both quantitative and qualitative input factors have been taken into account. Based on program developed in MATLAB and C#, a decision support tool (DST) was developed for decision makers to select lean strategies and evaluate the leanness value based on the proposed models and methodology hence sustain the lean implementation efforts. A case study was conducted to demonstrate the effectiveness of these proposed models and methodology. Case study results suggested that out of 10 wastes identified, the case organization (ABC Limited) is able to improve a maximum of six wastes from the selected workstation within their resource limitations. The selected wastes are: unnecessary motion, setup time, unnecessary transportation, inappropriate processing, work in process and raw material inventory and suggested lean strategies are: 5S, Just-In-Time, Kanban System, the Visual Management System (VMS), Cellular Manufacturing, Standard Work Process using method-time measurement (MTM), and Single Minute Exchange of Die (SMED). From the suggested lean strategies, the impact of 5S was demonstrated by measuring the leanness level of two different situations in ABC. After that, MTM was suggested as a standard work process for further improvement of the current leanness value. The initial status of the organization showed a leanness value of 0.12. By applying 5S, the leanness level significantly improved to reach 0.19 and the simulation of MTM as a standard work method shows the leanness value could be improved to 0.31. The optimum leanness value of ABC was calculated to be 0.64. These leanness values provided a quantitative indication of the impacts of improvement initiatives in terms of the overall leanness level to the case organization. Sensitivity analsysis and a t-test were also performed to validate the model proposed. This research advances the current knowledge base by developing mathematical models and methodologies to overcome lean strategy selection and leanness assessment problems. By selecting appropriate lean strategies, a manufacturer can better prioritize implementation efforts and resources to maximize the benefits of implementing lean strategies in their organization. The leanness index is used to evaluate an organization's current (before lean implementation) leanness state against the state after lean implementation and to establish benchmarking (the optimum leanness state). Hence, this research provides a continuous improvement tool for a lean manufacturing organization.

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A large subsurface, elevated temperature anomaly is well documented in Central Australia. High Heat Producing Granites (HHPGs) intersected by drilling at Innamincka are often assumed to be the dominant cause of the elevated subsurface temperatures, although their presence in other parts of the temperature anomaly has not been confirmed. Geological controls on the temperature anomaly remain poorly understood. Additionally, methods previously used to predict temperature at 5 km depth in this area are simplistic and possibly do not give an accurate representation of the true distribution and magnitude of the temperature anomaly. Here we re-evaluate the geological controls on geothermal potential in the Queensland part of the temperature anomaly using a stochastic thermal model. The results illustrate that the temperature distribution is most sensitive to the thermal conductivity structure of the top 5 km. Furthermore, the results indicate the presence of silicic crust enriched in heat producing elements between and 40 km.