38 resultados para Comprehensive Assessment


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There is paucity of data regarding hydrocarbon exposure of tropical fish species inhabiting the waters near oil and gas platforms on the Northwest Shelf of Australia. A comprehensive field study assessed the exposure and potential effects associated with the produced water (PW) plume from the Harriet A production platform on the northwest shelf in a local reef species, Stripey seaperch (Lutjanus carponotatus). This field study was a continuation of an earlier pilot study which concluded that there were “warning signs” of potential biological effects on fish populations exposed to PW. A 10-day field caging study was conducted deploying 15 individual fish into 6 separate steel cages set 1-m subsurface at 3 stations in a concentration gradient moving away from the platform. A battery of biomarkers were evaluated including hepatosomatic index (HSI), total cytochrome P450, bile metabolites, CYP1A-, CYP2K- and CYP2M-like proteins, cholinesterase (ChE) activity, and histopathology of liver and gill tissues. Water column and PW effluent samples was also collected. Results confirmed that PAH metabolites in bile, CYP1A-, CYP2K-, and CYP2M-like proteins and liver histopathology provided evidence of significant exposure and effects after 10 days at the near-field site (~200 m off the Harriet A platform). Hepatosomatic index, total cytochrome P450, and ChE did not provide site-specific differences by day 10 of exposure to PW. CYP proteins were shown by principal component analysis (PCA) to be the best diagnostic tool for determining exposure and associated biological effects of PW on L. carponotatus. Using a suite of biomarkers has been widely advocated as a vital component in environmental risk assessments worldwide. This study demonstrates the usefulness of biomarkers for assessing the Harriet A PW discharge into Australian waters with broader applications for other PW discharges. This approach has merit as a valuable addition to environmental management strategies for protecting Australia’s tropical environment and its rich biodiversity.

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An algorithm was developed for 2DHPLC that automated the process of peak recognition, measuring their retention times, and then subsequently plotting the information in a two-dimensional retention plane. Following the recognition of peaks, the software then performed a series of statistical assessments of the separation performance, measuring for example, correlation between dimensions, peak capacity and the percentage of usage of the separation space. Peak recognition was achieved by interpreting the first and second derivatives of each respective one-dimensional chromatogram to determine the 1D retention times of each solute and then compiling these retention times for each respective fraction ‘cut’. Due to the nature of comprehensive 2DHPLC adjacent cut fractions may contain peaks common to more than one cut fraction. The algorithm determined which components were common in adjacent cuts and subsequently calculated the peak maximum profile by interpolating the space between adjacent peaks. This algorithm was applied to the analysis of a two-dimensional separation of an apple flesh extract separated in a first dimension comprising a cyano stationary phase and an aqueous/THF mobile phase as the first dimension and a second dimension comprising C18-Hydro with an aqueous/MeOH mobile phase. A total of 187 peaks were detected.

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Final year projects for BE(Hons) programmes are the linkage between the academic and the industrial domains. Projects are often judged by respective employers as the measure by which students are considered and are also closely surveyed by professional bodies when accreditation is sought. In some instances, final year projects can lead to publications in conferences and journals and also allow students to continue their academic study into research degrees. However, the assessment of both the final thesis and the process of conducting the project are often subjective and open to challenge. This paper discusses a comprehensive strategy for removing some of the inconsistencies and proposes a transparent and robust assessment model which can be applied in similar areas elsewhere. This approach has been developed at the School of Engineering at AUT University in Auckland.

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Aims and objectives:
To evaluate structured patient assessment frameworks' impact on patient care.

Background:
Accurate patient assessment is imperative to determine the status and needs of the patient and the delivery of appropriate patient care. Nurses must be highly skilled in conducting timely and accurate patient assessments to overcome environmental obstacles and deliver quality and safe patient care. A structured approach to patient assessment is widely accepted in everyday clinical practice, yet little is known about the impact structured patient assessment frameworks have on patient care.

Design:
Integrative review.

Methods:
An electronic database search was conducted using Cumulative Index to Nursing and Allied Health Literature, Medical Literature Analysis and Retrieval System, PubMed and ProQuest Dissertations and Theses. The reference sections of textbooks and journal articles on patient assessment were manually searched for further studies. A comprehensive peer review screening process was undertaken. Research studies were selected that evaluated the impact structured patient assessment frameworks have on patient care. Studies were included if frameworks were designed for use by paramedics, nurses or medical practitioners working in prehospital or acute in-hospital settings.

Results:
Twelve studies met the inclusion criteria. There were no studies that evaluate the impact of a generic nursing assessment framework on patient care. The use of a structured patient assessment framework improved clinician performance of patient assessment. Limited evidence was found to support other aspects of patient care including documentation, communication, care implementation, patient and clinician satisfaction, and patient outcomes.

Conclusion:
Structured patient assessment frameworks enhance clinician performance of patient assessment and hold the potential to improve patient care and outcomes; however, further research is required to address these evidence gaps, particularly in nursing.

Relevance to clinical practice:
Acute care clinicians should consider using structured patient assessment frameworks in clinical practice to enhance their performance of patient assessment.

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The paper describes an approach to assessment in which students create a comprehensive and analytical summary of their learning in a given subject. The self-assessment schedule, as it is called, has been used in contexts in which there is an emphasis on self-directed and negotiated learning. Unlike most assessment methods which focus on a relatively few aspects of a subject in some depth, the aim of the self-assessment schedule is to capture and account for a wide range of formal and informal learning. The application of the schedule in postgraduate courses is discussed and the views of staff and students reported.

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Business intelligence and analytics (BIA) initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design scienceparadigm to develop a comprehensive BIA effectiveness diagnostic (BIAED) framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriateinput from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants) and use the results toinform BIA strategy formulation. Feedback from participating organizations indicates that the BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment.

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BACKGROUND: Internet-based assessment has the potential to assist with the diagnosis of mental health disorders and overcome the barriers associated with traditional services (eg, cost, stigma, distance). Further to existing online screening programs available, there is an opportunity to deliver more comprehensive and accurate diagnostic tools to supplement the assessment and treatment of mental health disorders. OBJECTIVE: The aim was to evaluate the diagnostic criterion validity and test-retest reliability of the electronic Psychological Assessment System (e-PASS), an online, self-report, multidisorder, clinical assessment and referral system. METHODS: Participants were 616 adults residing in Australia, recruited online, and representing prospective e-PASS users. Following e-PASS completion, 158 participants underwent a telephone-administered structured clinical interview and 39 participants repeated the e-PASS within 25 days of initial completion. RESULTS: With structured clinical interview results serving as the gold standard, diagnostic agreement with the e-PASS varied considerably from fair (eg, generalized anxiety disorder: κ=.37) to strong (eg, panic disorder: κ=.62). Although the e-PASS' sensitivity also varied (0.43-0.86) the specificity was generally high (0.68-1.00). The e-PASS sensitivity generally improved when reducing the e-PASS threshold to a subclinical result. Test-retest reliability ranged from moderate (eg, specific phobia: κ=.54) to substantial (eg, bulimia nervosa: κ=.87). CONCLUSIONS: The e-PASS produces reliable diagnostic results and performs generally well in excluding mental disorders, although at the expense of sensitivity. For screening purposes, the e-PASS subclinical result generally appears better than a clinical result as a diagnostic indicator. Further development and evaluation is needed to support the use of online diagnostic assessment programs for mental disorders. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry ACTRN121611000704998; http://www.anzctr.org.au/trial_view.aspx?ID=336143 (Archived by WebCite at http://www.webcitation.org/618r3wvOG).

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OBJECTIVE: To determine and compare the level of implementation of policies for healthy food environments in Thailand with reference to international best practice by state and non-state actors.
DESIGN: Data on the current level of implementation of food environment policies were assessed independently using the adapted Healthy Food Environment Policy Index (Food-EPI) by two groups of actors. Concrete actions were proposed for Thai Government. A joint meeting between both groups was subsequently held to reach consensus on priority actions.
SETTING: Thailand.
SUBJECTS: Thirty state actors and twenty-seven non-state actors.
RESULTS: Level of policy implementation varied across different domains and actor groups. State actors rated implementation levels higher than non-state actors. Both state and non-state actors rated level of implementation of monitoring of BMI highest. Level of implementation of policies promoting in-store availability of healthy foods and policies increasing tax on unhealthy foods were rated lowest by state and non-state actors, respectively. Both groups reached consensus on eleven priority actions for implementation, focusing on food provision in public-sector settings, food composition, food promotion, leadership, monitoring and intelligence, and food trade.
CONCLUSIONS: Although the implementation gaps identified and priority actions proposed varied between state and non-state actors, both groups achieved consensus on a comprehensive food policy package to be implemented by the Thai Government to improve the healthiness of food environments. This consensus is a platform for continued policy dialogue towards cross-sectoral policy coherence and effective actions to address the growing burden of non-communicable diseases and obesity in Thailand.