7 resultados para Astronomical Data Bases : Miscellaneous

em Deakin Research Online - Australia


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This paper presents a review of the literature of service trends and practice recommendations for management of those with the dual diagnosis of mental illness and substance abuse. The method for the review was to search bibliographical data bases and hand held literature published in English between 1990 and 2007. Using the search terms dual diagnosis, and co-morbidity and mental illness, 93 abstracts were selected and reviewed. The authors concluded that a collaborative approach to care with better integration of drug and alcohol services within mental health would benefit clients with a dual diagnosis. Improved education to enhance the assessment and diagnosis of this client group is also considered essential for clinicians in both mental health and alcohol and drugs services.

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Background Physically inactive lifestyles and sedentary behaviors (SB) are key contributors to ill health. Although the association between SB (e.g., watching TV/using the computer) and physical health has been well documented, increasing research has focused on the possible link between SB and mental health (e.g., depression).

Purpose
This review aims to investigate the effect of SB on the risk of depression in adults.

Method A systematic search for original research articles investigating associations between SB and depression in adults was performed using the several electronic data bases.

Results A total of seven observational and four intervention studies were included in this review. All observational studies found positive associations between SB and risk of depression, while intervention studies showed contradictory results.

Conclusion
Evidence for the relationship between SB and risk of depression in adults is limited by methodological weaknesses. However, on balance, this review suggests that SB is associated with an increased risk of depression. Further studies are needed assessing different types of SB and depression; the interrelationship between physical activity, SB, and depression; causal links between SB and depression; and intervention strategies aimed at reducing SB and their effects on risk of depression.

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In the present paper different representations of urban character that influence environmental cognition are tested. Two main features involved in urban identity are the functional and social aspects of urban environment. Land use of lots is aggregated into different intensity measures that explore functional characterization of urban spaces. Social presence related to residential use and movement in urban space are also evaluated by intensity and social-economic characteristics. All selected attributes come from normal governmental data bases. Thus, one of the challenges is to transpose/interchange data from different scale units into a unique spatial representation unit, creating a common spatial base in a GIS environment.

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Aim.  To evaluate the existing literature to inform nursing management of people undergoing percutaneous coronary intervention. Background.  Percutaneous coronary intervention is an increasingly important revascularisation strategy in coronary heart disease management and can be an emergent, planned or rescue procedure. Nurses play a critical role in delivering care in both the independent and collaborative contexts of percutaneous coronary intervention management. Design.  Systematic review. Method.  The method of an integrative literature review, using the conceptual framework of the patient journey, was used to describe existing evidence and to determine important areas for future research. The electronic data bases CINAHL, Medline, Cochrane and the Joanna Briggs data bases were searched using terms including: (angioplasty, transulminal, percutaneous coronary), nursing care, postprocedure complications (haemorrhage, ecchymosis, haematoma), rehabilitation, emergency medical services (transportation of patients, triage). Results.  Despite the frequency of the procedure, there are limited data to inform nursing care for people undergoing percutaneous coronary intervention. Currently, there are no widely accessible nursing practice guidelines focusing on the nursing management in percutaneous coronary intervention. Findings of the review were summarised under the headings: Symptom recognition; Treatment decision; Peri-percutaneous coronary intervention care, describing the acute management and Postpercutaneous coronary intervention management identifying the discharge planning and secondary prevention phase. Conclusions.  Cardiovascular nurses need to engage in developing evidence to support guideline development. Developing consensus on nurse sensitive patient outcome indicators may enable benchmarking strategies and inform clinical trial design. Relevance to clinical practice.  To improve the care given to individuals undergoing percutaneous coronary intervention, it is important to base practice on high-level evidence. Where this is lacking, clinicians need to arrive at a consensus as to appropriate standards of practice while also engaging in developing evidence. This must be considered, however, from the central perspective of the patient and their family.

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Considerable variability in survival rate after an acute myocardial infarction exists and accurate risk stratification is of significant importance. The American College of Cardiology and the American Heart Association has recommended early risk stratification using several clinical risk scoring instruments to identify high risk patients. The aim of this paper is to identify secondary cardiovascular risk scoring instruments that could be utilized at the time of intervention for acute coronary syndromes and compare their psychometric properties as they were developed. A search using Medline, Cumulative Index to Nursing and Allied Health Literature and the Psychology and Behavioral Sciences Collection data-bases identified studies published between January 1990 and January 2010 used to measure risk after intervention for acute coronary syndrome. Four validated secondary risk prediction scoring instruments were identified for comparison.Secondary risk prediction scoring instruments for the acute coronary syndrome patient population are evidence based, valid and reliable. Use of the instruments by cardiac focused clinicians will aid in the determination of treatment strategies, and estimation of short and long term events and mortality.

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Aims: To describe the baseline characteristics of an Australian population-based cohort of rheumatoid arthritis (RA) patients commencing biological therapy.

Methods
: Descriptive analysis from the Australian Rheumatology Association Database (ARAD).

Results
: Up to October 2006, there were 681 RA patients taking biologics enrolled in ARAD. Baseline data were available for 624 (72% female, mean (SD) age 57.0 (12.5) years). Of these, 59.5% reported at least one comorbid condition, most commonly hypertension (35.7%) and osteoporosis (30.4%); 61 (9.8%) had a history of malignancy (35 nonmelanoma skin, 5 breast, 4 bowel, 5 cervix, 3 melanoma, 3 prostate and 1 each of lip, lung, myeloma, testis, uterus, vagina). Self-reported infections within the previous 6 months were common (71.5%).

Conclusions
: History of comorbidities, including recent infections, is common among Australian RA patients commencing biologics, and 10% have a history of malignancy. This may impact future evaluations of health outcomes among this population, including attribution of adverse events of biologic therapy.

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The knowledge embedded in an online data stream is likely to change over time due to the dynamic evolution of the stream. Consequently, infrequent episode mining over an online stream, frequent episodes should be adaptively extracted from recently generated stream segments instead of the whole stream. However, almost all existing frequent episode mining approaches find episodes frequently occurring over the whole sequence. This paper proposes and investigates a new problem: online mining of recently frequent episodes over data streams. In order to meet strict requirements of stream mining such as one-scan, adaptive result update and instant result return, we choose a novel frequency metric and define a highly condensed set called the base of recently frequent episodes. We then introduce a one-pass method for mining bases of recently frequent episodes. Experimental results show that the proposed method is capable of finding bases of recently frequent episodes quickly and adaptively. The proposed method outperforms the previous approaches with the advantages of one-pass, instant result update and return, more condensed resulting sets and less space usage.