234 resultados para Interview Methods


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AIM: To study the prevalence of psychoactive substance use disorder (PSUD) among suicidal adolescents, psychoactive substance intoxication at the moment of the attempt, and the association between PSUD at baseline and either occurrence of suicide or repetition of suicide attempt(s). METHODS: 186 adolescents aged 16 to 21 y hospitalized for suicide attempt or overwhelming suicidal ideation were included (T0); 148 of them were traced again for evaluations after 6 mo (T1) and/or 18 mo (T2). DSM-IV diagnoses were assessed each time using the Mini International Neuropsychiatric Interview. RESULTS: At T0, 39.2% of the subjects were found to have a PSUD. Among them, a significantly higher proportion was intoxicated at the time of the attempt than those without PSUD (44.3% vs 25.4%). Among the 148 adolescents who could be traced at either T1 or T2, two died from suicide and 30 repeated suicide attempts once or more times. A marginally significant association was found between death by suicide/repetition of suicide attempt and alcohol abuse/dependence at baseline (OR=3.3, 95% CI 0.7-15.0; OR=2.6, 95% CI 0.7-9.3). More than one suicide attempt before admission to hospital at T0 (OR=3.2, 95% CI 1.1-10.0) and age over 19 y at T0 (OR=3.2, 95% CI 1.1-9.2) were independently associated with the likelihood of death by suicide or repetition of suicide attempt. CONCLUSION: Among adolescents hospitalized for suicide attempt or overwhelming suicidal ideation, the risk of death or repetition of attempt is high and is associated with previous suicide attempts--especially among older adolescents--and also marginally associated with PSUD; these adolescents should be carefully evaluated for such risks and followed up once discharged from the hospital.

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We present a novel spatiotemporal-adaptive Multiscale Finite Volume (MsFV) method, which is based on the natural idea that the global coarse-scale problem has longer characteristic time than the local fine-scale problems. As a consequence, the global problem can be solved with larger time steps than the local problems. In contrast to the pressure-transport splitting usually employed in the standard MsFV approach, we propose to start directly with a local-global splitting that allows to locally retain the original degree of coupling. This is crucial for highly non-linear systems or in the presence of physical instabilities. To obtain an accurate and efficient algorithm, we devise new adaptive criteria for global update that are based on changes of coarse-scale quantities rather than on fine-scale quantities, as it is routinely done before in the adaptive MsFV method. By means of a complexity analysis we show that the adaptive approach gives a noticeable speed-up with respect to the standard MsFV algorithm. In particular, it is efficient in case of large upscaling factors, which is important for multiphysics problems. Based on the observation that local time stepping acts as a smoother, we devise a self-correcting algorithm which incorporates the information from previous times to improve the quality of the multiscale approximation. We present results of multiphase flow simulations both for Darcy-scale and multiphysics (hybrid) problems, in which a local pore-scale description is combined with a global Darcy-like description. The novel spatiotemporal-adaptive multiscale method based on the local-global splitting is not limited to porous media flow problems, but it can be extended to any system described by a set of conservation equations.

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Specific properties emerge from the structure of large networks, such as that of worldwide air traffic, including a highly hierarchical node structure and multi-level small world sub-groups that strongly influence future dynamics. We have developed clustering methods to understand the form of these structures, to identify structural properties, and to evaluate the effects of these properties. Graph clustering methods are often constructed from different components: a metric, a clustering index, and a modularity measure to assess the quality of a clustering method. To understand the impact of each of these components on the clustering method, we explore and compare different combinations. These different combinations are used to compare multilevel clustering methods to delineate the effects of geographical distance, hubs, network densities, and bridges on worldwide air passenger traffic. The ultimate goal of this methodological research is to demonstrate evidence of combined effects in the development of an air traffic network. In fact, the network can be divided into different levels of âeurooecohesionâeuro, which can be qualified and measured by comparative studies (Newman, 2002; Guimera et al., 2005; Sales-Pardo et al., 2007).

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A high-resolution three-dimensional (3-D) seismic reflection survey was conducted in Lake Geneva, near the city of Lausanne, Switzerland, as part of a project for developing such seismic techniques. Using a single 48-channel streamer, the 3-D site with an area of 1200 m x 600 m was surveyed in 10 days. A variety of complex geologic structures (e.g. thrusts, folds, channel-fill) up to similar to150 m below the water bottom were obtained with a 15 in.(3) water gun. The 3-D data allowed the construction of an accurate velocity model and the distinction of five major seismic facies within the Lower Freshwater Molasse (Aquitanian) and the Quaternary sedimentary units. Additionally, the Plateau Molasse (PM) and Subalpine Molasse (SM) erosional surface, "La Paudeze" thrust fault (PM-SM boundary) and the thickness of Quaternary sediments were accurately delineated in 3-D.

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In the International Olympic Committee (IOC) accredited laboratories, specific methods have been developed to detect anabolic steroids in athletes' urine. The technique of choice to achieve this is gas-chromatography coupled with mass spectrometry (GC-MS). In order to improve the efficiency of anti-doping programmes, the laboratories have defined new analytical strategies. The final sensitivity of the analytical procedure can be improved by choosing new technologies for use in detection, such as tandem mass spectrometry (MS-MS) or high resolution mass spectrometry (HRMS). A better sample preparation using immuno-affinity chromatography (IAC) is also a good tool for improving sensitivity. These techniques are suitable for the detection of synthetic anabolic steroids whose structure is not found naturally in the human body. The more and more evident use, on a large scale, of substances chemically similar to the endogenous steroids obliges both the laboratory and the sports authorities to use the steroid profile of the athlete in comparison with reference ranges from a population or with intraindividual reference values.

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Abstract Objectives: In Germany since 2007 children with advanced life-limiting diseases are eligible for Pediatric Palliative Home Care (PPHC), which is provided by newly established specialized PPHC teams. The objective of this study was to evaluate the acceptance and effectiveness of PPHC as perceived by the parents. Methods: Parents of children treated by the PPHC team based at the Munich University Hospital were eligible for this prospective nonrandomized study. The main topics of the two surveys (before and after involvement of the PPHC team) were the assessment of symptom control and quality of life (QoL) in children; and the parents' satisfaction with care, burden of patient care (Häusliche Pflegeskala, home care scale, HPS), anxiety and depression (Hospital Anxiety and Depression Scale, HADS), and QoL (Quality of Life in Life-Threatening Illness-Family Carer Version, QOLLTI-F). Results: Of 43 families newly admitted to PPHC between April 2011 and June 2012, 40 were included in the study. The median interval between the first and second interview was 8.0 weeks. The involvement of the PPHC team led to a significant improvement of children's symptoms and QoL (P<0.001) as perceived by the parents; and the parents' own QoL and burden relief significantly increased (QOLLTI-F, P<0.001; 7-point change on a 10-point scale), while their psychological distress and burden significantly decreased (HADS, P<0.001; HPS, P<0.001). Conclusions: The involvement of specialized PPHC appears to lead to a substantial improvement in QoL of children and their parents, as experienced by the parents, and to lower the burden of home care for the parents of severely ill children.

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OBJECTIVES: Religious issues may be neglected by clinicians who are treating psychotic patients, even when religion constitutes an important means of coping. This study examined the spirituality and religious practices of outpatients with schizophrenia compared with their clinicians. Clinicians' knowledge of patients' religious involvement and spirituality was investigated. METHODS: The study sample included 100 patients of public psychiatric outpatient facilities in Geneva, Switzerland, with a diagnosis of nonaffective psychosis. Audiotaped interviews were conducted with use of a semistructured interview about spirituality and religious coping. The patients' clinicians (N=34) were asked about their own beliefs and religious activities as well as their patients' religious and clinical characteristics. RESULTS: Sixteen patients (16 percent) had positive psychotic symptoms reflecting aspects of their religious beliefs. A majority of the patients reported that religion was an important aspect of their lives, but only 36 percent of them had raised this issue with their clinicians. Fewer clinicians were religiously involved, and, in half the cases, their perceptions of patients' religious involvement were inaccurate. A few patients considered religious practice to be incompatible with treatment, and clinicians were seldom aware of such a conflict. CONCLUSIONS: Religion is an important issue for patients with schizophrenia, and it is often not related to the content of their delusions. Clinicians were commonly not aware of their patients' religious involvement, even if they reported feeling comfortable with such an issue.

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Oscillations have been increasingly recognized as a core property of neural responses that contribute to spontaneous, induced, and evoked activities within and between individual neurons and neural ensembles. They are considered as a prominent mechanism for information processing within and communication between brain areas. More recently, it has been proposed that interactions between periodic components at different frequencies, known as cross-frequency couplings, may support the integration of neuronal oscillations at different temporal and spatial scales. The present study details methods based on an adaptive frequency tracking approach that improve the quantification and statistical analysis of oscillatory components and cross-frequency couplings. This approach allows for time-varying instantaneous frequency, which is particularly important when measuring phase interactions between components. We compared this adaptive approach to traditional band-pass filters in their measurement of phase-amplitude and phase-phase cross-frequency couplings. Evaluations were performed with synthetic signals and EEG data recorded from healthy humans performing an illusory contour discrimination task. First, the synthetic signals in conjunction with Monte Carlo simulations highlighted two desirable features of the proposed algorithm vs. classical filter-bank approaches: resilience to broad-band noise and oscillatory interference. Second, the analyses with real EEG signals revealed statistically more robust effects (i.e. improved sensitivity) when using an adaptive frequency tracking framework, particularly when identifying phase-amplitude couplings. This was further confirmed after generating surrogate signals from the real EEG data. Adaptive frequency tracking appears to improve the measurements of cross-frequency couplings through precise extraction of neuronal oscillations.

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This paper characterizes and evaluates the potential of three commercial CT iterative reconstruction methods (ASIR?, VEO? and iDose(4 ()?())) for dose reduction and image quality improvement. We measured CT number accuracy, standard deviation (SD), noise power spectrum (NPS) and modulation transfer function (MTF) metrics on Catphan phantom images while five human observers performed four-alternative forced-choice (4AFC) experiments to assess the detectability of low- and high-contrast objects embedded in two pediatric phantoms. Results show that 40% and 100% ASIR as well as iDose(4) levels 3 and 6 do not affect CT number and strongly decrease image noise with relative SD constant in a large range of dose. However, while ASIR produces a shift of the NPS curve apex, less change is observed with iDose(4) with respect to FBP methods. With second-generation iterative reconstruction VEO, physical metrics are even further improved: SD decreased to 70.4% at 0.5 mGy and spatial resolution improved to 37% (MTF(50%)). 4AFC experiments show that few improvements in detection task performance are obtained with ASIR and iDose(4), whereas VEO makes excellent detections possible even at an ultra-low-dose (0.3 mGy), leading to a potential dose reduction of a factor 3 to 7 (67%-86%). In spite of its longer reconstruction time and the fact that clinical studies are still required to complete these results, VEO clearly confirms the tremendous potential of iterative reconstructions for dose reduction in CT and appears to be an important tool for patient follow-up, especially for pediatric patients where cumulative lifetime dose still remains high.