917 resultados para structural health monitoring method


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Limiting the Exposure of Young People to Alcohol Advertising: 5th Annual report of the Alcohol Marketing Communications Monitoring Body Click here to download PDF 173KB

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  Public reporting of quality indicators promotes the principle of a transparent and accountable health care system that encourages a continuing focus on improving the quality of care it provides. This work brings us a step further in enhancing the quality and safety of our system. It is important that this report is not relied upon to draw conclusions on quality of care. That was not the purpose of the exercise. The data is mostly over five years old and was collected from the system before the improvements to collection and reporting of information that the hospitals were asked to put in place as part of the work to prepare this report. The Department of Health will produce a report of quality indicators based on data from 2011 to 2013 inclusive later in 2014 which will identify regions and hospitals. A governance process will shortly be established to oversee the selection and reporting of these indicators. This system will report at national and regional level and will be aligned with international systems so that international comparisons can be reported. The publication of this report is an important step in the development of this national reporting system. It shows that we can use a major IT system called HIPE which captures information on all hospital stays in all public hospitals to examine quality and safety of care. Health Care Quality Indicators in the Irish Health System

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Parasitism was a universal human condition. Because of this, people developed herbal medicines to treat parasites as part of their pharmacopoeias. We propose that it is possible to recover evidence of medicinal plants from archaeological sites and link their use to specific health conditions. This is a multidisciplinary approach that must involve at least paleoethnobotanists, archaeoparasitologists, paleopathologists, and pharmacologists.

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The treatment of some cancer patients has shifted from traditional, non-specific cytotoxic chemotherapy to chronic treatment with molecular targeted therapies. Imatinib mesylate, a selective inhibitor of tyrosine kinases (TKIs) is the most prominent example of this new era and has opened the way to the development of several additional TKIs, including sunitinib, nilotinib, dasatinib, sorafenib and lapatinib, in the treatment of various hematological malignancies and solid tumors. All these agents are characterized by an important inter-individual pharmacokinetic variability, are at risk for drug interactions, and are not devoid of toxicity. Additionally, they are administered for prolonged periods, anticipating the careful monitoring of their plasma exposure via Therapeutic Drug Monitoring (TDM) to be an important component of patients' follow-up. We have developed a liquid chromatography-tandem mass spectrometry method (LC-MS/MS) requiring 100 microL of plasma for the simultaneous determination of the six major TKIs currently in use. Plasma is purified by protein precipitation and the supernatant is diluted in ammonium formate 20 mM (pH 4.0) 1:2. Reverse-phase chromatographic separation of TKIs is obtained using a gradient elution of 20 mM ammonium formate pH 2.2 and acetonitrile containing 1% formic acid, followed by rinsing and re-equilibration to the initial solvent composition up to 20 min. Analyte quantification, using matrix-matched calibration samples, is performed by electro-spray ionization-triple quadrupole mass spectrometry by selected reaction monitoring detection using the positive mode. The method was validated according to FDA recommendations, including assessment of extraction yield, matrix effects variability (<9.6%), overall process efficiency (87.1-104.2%), as well as TKIs short- and long-term stability in plasma. The method is precise (inter-day CV%: 1.3-9.4%), accurate (-9.2 to +9.9%) and sensitive (lower limits of quantification comprised between 1 and 10 ng/mL). This is the first broad-range LC-MS/MS assay covering the major currently in-use TKIs. It is an improvement over previous methods in terms of convenience (a single extraction procedure for six major TKIs, reducing significantly the analytical time), sensitivity, selectivity and throughput. It may contribute to filling the current knowledge gaps in the pharmacokinetics/pharmacodynamics relationships of the latest TKIs developed after imatinib and better define their therapeutic ranges in different patient populations in order to evaluate whether a systematic TDM-guided dose adjustment of these anticancer drugs could contribute to minimize the risk of major adverse reactions and to increase the probability of efficient, long lasting, therapeutic response.

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Quantification is a major problem when using histology to study the influence of ecological factors on tree structure. This paper presents a method to prepare and to analyse transverse sections of cambial zone and of conductive phloem in bark samples. The following paper (II) presents the automated measurement procedure. Part I here describes and discusses the preparation method, and the influence of tree age on the observed structure. Highly contrasted images of samples extracted at breast height during dormancy were analysed with an automatic image analyser. Between three young (38 years) and three old (147 years) trees, age-related differences were identified by size and shape parameters, at both cell and tissue levels. In the cambial zone, older trees had larger and more rectangular fusiform initials. In the phloem, sieve tubes were also larger, but their shape did not change and the area for sap conduction was similar in both categories. Nevertheless, alterations were limited, and demanded statistical analysis to be identified and ascertained. The physiological implications of the structural changes are discussed.

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Poultry meat and its derivatives are among the foodstuffs considered by environmental health authorities to present the highest risks to the public. A total of 185 samples were collected in five monthly batches, from different processing stages in a sausage plant that uses mechanically-deboned chicken meat (MDCM), and testedfor the presence of Salmonella. Enrichment was carried out in both Kauffman's tetrathionate broth and Rappaport-Vassiliadis broth and isolation on Salmonella-Shigella agar and brilliant-green agar. Live Salmonella bacteria were isolated from six samples of the raw meat and from the emulsion, in batches three, four, and five, but not from any sample in batches one or two. The six isolated strains were all classified as Salmonella Albany, which has not previously been reported in MDCM. Of the two enrichment broths, Rappaport-Vassiliadis gave the better results. The pattern of contamination suggests a probable common source, given that a new supplier was used in the third, fourth, and fifth months. It was also shown that the industrial cooking was effective in preventing Salmonella surviving in the final product.

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Background: The imatinib trough plasma concentration (C(min)) correlates with clinical response in cancer patients. Therapeutic drug monitoring (TDM) of plasma C(min) is therefore suggested. In practice, however, blood sampling for TDM is often not performed at trough. The corresponding measurement is thus only remotely informative about C(min) exposure. Objectives: The objectives of this study were to improve the interpretation of randomly measured concentrations by using a Bayesian approach for the prediction of C(min), incorporating correlation between pharmacokinetic parameters, and to compare the predictive performance of this method with alternative approaches, by comparing predictions with actual measured trough levels, and with predictions obtained by a reference method, respectively. Methods: A Bayesian maximum a posteriori (MAP) estimation method accounting for correlation (MAP-ρ) between pharmacokinetic parameters was developed on the basis of a population pharmacokinetic model, which was validated on external data. Thirty-one paired random and trough levels, observed in gastrointestinal stromal tumour patients, were then used for the evaluation of the Bayesian MAP-ρ method: individual C(min) predictions, derived from single random observations, were compared with actual measured trough levels for assessment of predictive performance (accuracy and precision). The method was also compared with alternative approaches: classical Bayesian MAP estimation assuming uncorrelated pharmacokinetic parameters, linear extrapolation along the typical elimination constant of imatinib, and non-linear mixed-effects modelling (NONMEM) first-order conditional estimation (FOCE) with interaction. Predictions of all methods were finally compared with 'best-possible' predictions obtained by a reference method (NONMEM FOCE, using both random and trough observations for individual C(min) prediction). Results: The developed Bayesian MAP-ρ method accounting for correlation between pharmacokinetic parameters allowed non-biased prediction of imatinib C(min) with a precision of ±30.7%. This predictive performance was similar for the alternative methods that were applied. The range of relative prediction errors was, however, smallest for the Bayesian MAP-ρ method and largest for the linear extrapolation method. When compared with the reference method, predictive performance was comparable for all methods. The time interval between random and trough sampling did not influence the precision of Bayesian MAP-ρ predictions. Conclusion: Clinical interpretation of randomly measured imatinib plasma concentrations can be assisted by Bayesian TDM. Classical Bayesian MAP estimation can be applied even without consideration of the correlation between pharmacokinetic parameters. Individual C(min) predictions are expected to vary less through Bayesian TDM than linear extrapolation. Bayesian TDM could be developed in the future for other targeted anticancer drugs and for the prediction of other pharmacokinetic parameters that have been correlated with clinical outcomes.

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The latest annual update on life expectancy data and all age all cause mortality rates, with data updated to 2006-08, which are used to monitor progress against Department of Health targets for overall life expectancy in England, and for the gap in life expectancy between the areas with the worst health and deprivation indicators (the Spearhead group) and the England average, was released on 5th November 2009 according to the arrangements approved by the UK Statistics Authority. �� The key points from the latest release are: �� - The overall life expectancy and all age all cause mortality (AAACM) trends for both males and females are broadly on course to deliver the target of 78.6 years for men and 82.5 years for women by 2010 (2009-11). �� - In 2006-08, life expectancy at birth in England continued to increase for both males and females, and reached its highest level on record at 77.7 years for males and 81.9 years for females. �� - Three-year average AAACM rates for England have fallen in each period since 1995-97. �� - In 2006-08, average life expectancy at birth in the Spearhead Group was 75.8 years for males and 80.4 years for females, having increased in each period since 1995-97. �� - However, England average life expectancy at birth has increased more quickly over this period, and, in 2006-08, the relative gap ��� i.e. percentage difference - in life expectancy at birth between England and the Spearhead Group was wider than at the baseline for the target (1995-97) for both males and females. �� - For males the relative gap was 7% wider than at the baseline (compared with 4% wider in 2005-07), for females 14% wider (compared with 11% wider in 2005-07).�� �� Therefore, the target to narrow the life expectancy gap between the Spearhead Group and the England average, by at least 10% by 2010, remains challenging.��Three-year average AAACM rates for the Spearhead Group have fallen in each period since 1995-97 for both males and females. Download Mortality target monitoring (life expectancy and all-age all-cause mortality, overall and inequalities): update to include data for 2008 (PDF, 683K)Download pre-release access list (PDF, 10k)��

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The Department of Health, Social Services and Public Safety (Northern Ireland) published its first sub-regional bulletin of the Health and Social Care Inequalities Monitoring System (HSCIMS) on Wednesday, 7th July.The bulletin provides a picture of health inequalities at Health and Social Care (HSC) Trust level and a detailed comparison of morbidity, mortality, utilisation and access to health and social services between the 20% most deprived areas within a Trust and the overall Trust as well as NI as a whole. Health and Social Services Inequalities Monitoring System. Sub-Regional Inequalities HSC Trusts 2010 (PDF 5.6MB)��The Inequalities Monitoring system comprises various indicators which are monitored over time to assess area differences across morbidity, utilisation and access to Health and Social Care services in NI. Results for each indicator for the 20% most deprived (as per 2005 NISRA Measures of Deprivation) and the 20% most rural areas are compared with the NI average. There is also a comparison of the Section 75 equality group profiles of the areas with the 20% worst outcomes with NI overall for selected indicators.��

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Resistance to cypermethrin of different Aedes aegypti Brazilian populations, collected at two successive periods (2001 and 2002/2003), was monitored using the insecticide-coated bottles bioassay. Slight modifications were included in the method to discriminate between mortality and the knock down effect. Although this pyrethroid was recently started to be used in the country to control the dengue vector, a decrease in susceptibility was noted between both periods analyzed, particularly in the city of Rio de Janeiro. The results indicate that resistance is due at least in part to a target site alteration.

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Substantial and compelling medical and public health evidence indicated that non-medical factors, such as home energy costs, profoundly influence child health and well-being. Child Health Impact Assessment offered an evidence- and experience-based method through which to evaluate the implications of policy, regulations, and legislation for children's health and well-being. Our Child Health Impact Assessment of home energy costs revealed that unaffordable home energy has important and preventable adverse consequences for children's health. The available evidence showed that unaffordable home energy has preventable, potential consequences on the health and well-being of the more than 400,000 Massachusetts children living in low-income households. Low-income families are caught in the gap between rising energy prices and available energy assistance. Energy assistance falls far short of the need, especially when there is a spike in energy prices, such as following Hurricane Katrina in 2005. In addition to the exceedingly high housing costs in Massachusetts, our climate means low-income families spend more of their income on home energy (energy burden) to keep warm than families in other regions of the U.S.

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This report has been produced by the London Health Observatory (LHO) for the London Development Centre to provide a London baseline for monitoring specific actions in the Delivering Race Equality (DRE) action plan. The report summarises the findings of an analysis of the information collected from all of London's nine Mental Health NHS providers, and 22 independent providers for the national census of inpatients in mental health hospitals and facilities in England and Wales on 31 March 2005 .

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The 2008 annual update on infant mortality rates to monitor progress against the Department of Health infant mortality inequality PSA target.

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This is a collection of resources for measuring and monitoring health inequalities that is being developed by SEPHO. The resources include work undertaken in SEPHO, and signposts to other data sources, methods and expertise.

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A total of 296 Shigella spp. were received from State Public Health Laboratories, during the period from 1999 to 2004, by National Reference Laboratory for Cholera and Enteric Diseases (NRLCED) - IOC/Fiocruz, Rio de Janeiro, Brazil. The frequency of Shigella spp. was: S. flexneri (52.7%), S. sonnei (44.2%), S. boydii (2.3%), and S. dysenteriae (0.6%). The most frequent S. flexneri serovars were 2a and 1b. The highest incidence rates of Shigella isolation were observed in the Southeast (39%) and Northeast (34%) regions and the lowest rate in the South (3%) of Brazil. Strains were further analyzed for antimicrobial susceptibility by disk diffusion method as part of a surveillance program on antimicrobial resistance. The highest rates of antimicrobial resistance were to trimethoprim-sulfamethozaxole (90%), tetracycline (88%), ampicillin (56%), and chloramphenicol (35%). The patterns of antimicrobial resistance among Shigella isolates pose a major difficulty in the determination of an appropriate drug for shigellosis treatment. Continuous monitoring of antimicrobial susceptibilities of Shigella spp. through a surveillance system is thus essential for effective therapy and control measures against shigellosis.