854 resultados para Difficult times


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The clinical validity of at-risk criteria of psychosis had been questioned based on epidemiological studies that have reported much higher prevalence and annual incidence rates of psychotic-like experiences (PLEs as assessed by either self rating questionnaires or layperson interviews) in the general population than of the clinical phenotype of psychotic disorders (van Os et al., 2009). Thus, it is unclear whether “current at-risk criteria reflect behaviors so common among adolescents and young adults that a valid distinction between ill and non-ill persons is difficult” (Carpenter, 2009). We therefore assessed the 3-month prevalence of at-risk criteria by means of telephone interviews in a randomly drawn general population sample from the at-risk age segment (age 16–35 years) in the Canton Bern, Switzerland. Eighty-five of 102 subjects had valid phone numbers, 21 of these subjects refused (although 6 of them signaled willingness to participate at a later time), 4 could not be contacted. Sixty subjects (71% of the enrollment fraction) participated. Two participants met exclusion criteria (one for being psychotic, one for lack of language skills). Twenty-two at-risk symptoms were assessed for their prevalence and severity within the 3 months prior to the interview by trained clinical raters using (i) the Structured Interview for Prodromal Syndromes (SIPS; Miller et al., 2002) for the evaluation of 5 attenuated psychotic and 3 brief limited intermittent psychotic symptoms (APS, BLIPS) as well as state-trait criteria of the ultra-high-risk (UHR) criteria and (ii) the Schizophrenia Proneness Instrument, Adult version (SPI-A; Schultze-Lutter et al., 2007) for the evaluation of the 14 basic symptoms included in COPER and COGDIS (Schultze-Lutter et al., 2008). Further, psychiatric axis I diagnoses were assessed by means of the Mini-International Neuropsychiatric Interview, M.I.N.I. (Sheehan et al., 1998), and psychosocial functioning by the Scale of Occupational and Functional Assessment (SOFAS; APA, 1994). All interviewees felt ‘rather’ or ‘very’ comfortable with the interview. Of the 58 included subjects, only 1 (2%) fulfilled APS criteria by reporting the attenuated, non-delusional idea of his mind being literally read by others at a frequency of 2–3 times a week that had newly occurred 6 weeks ago. BLIPS, COPER, COGDIS or state-trait UHR criteria were not reported. Yet, twelve subjects (21%) described sub-threshold at-risk symptoms: 7 (12%) reported APS relevant symptoms but did not meet time/frequency criteria of APS, and 9 (16%) reported COPER and/or COGDIS relevant basic symptoms but at an insufficient frequency or as a trait lacking increase in severity; 4 of these 12 subjects reported both sub-threshold APS and sub-threshold basic symptoms. Table 1 displays type and frequency of the sub-threshold at-risk symptoms.

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The i-gel™ is a single-use supraglottic airway device (SAD) that allows fibreoptic-guided tracheal intubation through the device. Until now, no prospective data for this procedure are available. Therefore, in a prospective randomized controlled trial, we evaluated fibreoptic-guided tracheal intubation with a standard Rüsch™ PVC tracheal tube (TT) through the i-gel™ compared with the single-use ILMA™ (sILMA™) TT through the sILMA™ in patients with a predicted difficult airway.

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The single-use supraglottic airway device i-gel™ has been described in several case reports as a conduit for intubation, but no prospective data about success rates of blind intubation are available. Therefore, we performed this prospective randomized controlled trial to compare the success rate of blind tracheal intubation with a Magill PVC tube through the i-gel™ with intubation using an sILMA™ PVC tube through the single-use intubating laryngeal mask airway (sILMA™).

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Although magnetic resonance spectroscopy can be used as a unique tool to study molecular diffusion, it is rarely used to measure the diffusion properties of intramyocellular and extramyocellular lipids. Lipids have very low apparent diffusion coefficients (ADCs), which make these measurements difficult and necessitate strong diffusion gradients and long diffusion times. Consequence is that these measurements have inherently low signal-to-noise ratio and are prone to artifacts. The addition of physiological triggering and individual storage and processing of the spectra is seen to be a possible approach to maximize signal intensity and achieve high reproducibility of the experiments. Thus, the optimized measurement protocol was used to investigate the diffusion properties of lipids in human skeletal muscle in vivo. At a diffusion time of about 110 ms, intramyocellular lipids show a significantly lower ADC (2.0 × 10(-6) mm(2)/s, 95% confidence interval 1.10 × 10(-6) to 2.94 × 10(-6) mm(2)/s) than extramyocellular lipids (1.58 × 10(-5) mm(2)/s, 95% confidence interval 1.41 × 10(-5) to 1.75 × 10(-5) mm(2)/s). Because the chemical properties of both lipid pools can be assumed to be similar, the difference can only be attributed to restricted or severely hindered diffusion in the intramyocellular droplets.

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The case study reported below examines USAID's "Linking Agricultural Markets with Producers" program. This program complemented Bosnia and Herzegovina's overall sustainable agriculture policies. Implementing organizations quickly recognized that sustainability must be achieved not only from an environmental perspective, but in the interorganizational domain as well. Public, private and nonprofit players had to develop the social, economic and political infrastructure required for sustainable agricultural projects to succeed. These institutional changes were at times more difficult than the sustainable agriculture policies and practices they supported. Framed within LAMP's identification of constraints and proposed solutions for agricultural reform, we explored the interorganizational linkages required for success. We identified three distinct types: 1) those within the international community, 2) those within the local community and 3) those between international and local organizations. The case illustrates the institutional and managerial obstacles to and opportunities for implementing sustainable development reforms in transition settings.

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For virtually all hospitals, utilization rates are a critical managerial indicator of efficiency and are determined in part by turnover time. Turnover time is defined as the time elapsed between surgeries, during which the operating room is cleaned and preparedfor the next surgery. Lengthier turnover times result in lower utilization rates, thereby hindering hospitals’ ability to maximize the numbers of patients that can be attended to. In this thesis, we analyze operating room data from a two year period provided byEvangelical Community Hospital in Lewisburg, Pennsylvania, to understand the variability of the turnover process. From the recorded data provided, we derive our best estimation of turnover time. Recognizing the importance of being able to properly modelturnover times in order to improve the accuracy of scheduling, we seek to fit distributions to the set of turnover times. We find that log-normal and log-logistic distributions are well-suited to turnover times, although further research must validate this finding. Wepropose that the choice of distribution depends on the hospital and, as a result, a hospital must choose whether to use the log-normal or the log-logistic distribution. Next, we use statistical tests to identify variables that may potentially influence turnover time. We find that there does not appear to be a correlation between surgerytime and turnover time across doctors. However, there are statistically significant differences between the mean turnover times across doctors. The final component of our research entails analyzing and explaining the benefits of introducing control charts as a quality control mechanism for monitoring turnover times in hospitals. Although widely instituted in other industries, control charts are notwidely adopted in healthcare environments, despite their potential benefits. A major component of our work is the development of control charts to monitor the stability of turnover times. These charts can be easily instituted in hospitals to reduce the variabilityof turnover times. Overall, our analysis uses operations research techniques to analyze turnover times and identify manners for improvement in lowering the mean turnover time and thevariability in turnover times. We provide valuable insight into a component of the surgery process that has received little attention, but can significantly affect utilization rates in hospitals. Most critically, an ability to more accurately predict turnover timesand a better understanding of the sources of variability can result in improved scheduling and heightened hospital staff and patient satisfaction. We hope that our findings can apply to many other hospital settings.