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This study was performed to determine the effect of distraction technique that was applied to 4-6-year-old children during blood drawal for decreasing the pain of the child during the procedure.
The study was carried out as randomized controlled trial. Data were collected by individual information form, Faces Pain Scale-Revised (FPS-R), and a timer. Virtual reality glasses were used for distraction in the study.
Pain intensity and duration of crying significantly differed between the control and experimental groups. During the procedure, mean score of the children in the experimental group from "faces pain scale" was found to be 3.82 ± 1.20; the control group from "faces pain scale" was found to be 6.96 ± 2.08; and statistically significant differences were detected between both groups (p = 0.0001 and p = 0.001, respectively). When their duration of crying was examined, it was determined that mean crying time among the children in the experimental group was 8.43 ± 12.42 s and it was 33.65 ± 24.02 s among the children in control group; and the difference between groups was found to be statistically significant.
It was detected that using virtual reality glasses was an effective method in decreasing pain of the children during blood drawal procedure.
It was detected that using virtual reality glasses was an effective method in decreasing pain of the children during blood drawal procedure.Access to volumetric imaging modalities, such as magnetic resonance imaging (MRI) and computed tomography (CT), has increased over the past decade and has revolutionised the way clinicians evaluate equine anatomy. More recent advancements have resulted in the development of multiple commercially available cone-beam CT (CBCT) scanners for equine use. selleck products CBCT scanners modify the traditional fan-shaped beam of ionising radiation into a three-dimensional pyramidal- or cone-shaped beam of radiation. This modification enables the scanner to acquire sufficient data to create diagnostic images of a region of interest after a single rotation of the gantry. The rapid acquisition of data and divergent X-ray beam causes some artifacts to be more prominent on CBCT images-as well as the unique cone-beam artifact-resulting in decreased contrast resolution. While the use of CT for evaluation of the equine musculoskeletal anatomy is not new, there is a paucity of literature and scientific studies on the capabilities of CBCT for equine imaging. CBCT units do not require a specialised table for imaging and in some cases are portable for imaging in the standing or anaesthetised patient. This review article summarises the basic physics of CT technology, including how CBCT imaging differs, and provides objective information about the strengths and limitations of this modality. Finally, potential future applications and techniques for imaging with CT which will need to be explored in order to fully consider the capabilities of CT imaging in the horse are discussed.
We aimed to investigate the effect of an intervention in which ambulance personnel provided advice supported by a booklet-'Hypos can strike twice'-issued following a hypoglycaemic event to prevent future ambulance attendances.
We used a non-randomised stepped wedge-controlled design. The intervention was introduced at different times (steps) in different areas (clusters) of operation within East Midlands Ambulance Service NHS Trust (EMAS). During the first step (T0), no clusters were exposed to the intervention, and during the last step (T3), all clusters were exposed. Data were analysed using a general linear mixed model (GLMM) and an interrupted-time series analysis (ITSA).
The study included 4825 patients (mean age 65.42years, SD 19.42; 2,166 females) experiencing hypoglycaemic events attended by EMAS. GLMM indicated a reduction in the number of unsuccessful attendances (i.e., attendance followed by a repeat attendance) in the final step of the intervention when compared to the first (odds ratio OR 0.50, 95%CI 0.33-0.76, p=0.001). ITSA indicated a significant decrease in repeat ambulance attendances for hypoglycaemia-relative to the pre-intervention trend (p=0.008). Furthermore, the hypoglycaemia care bundle was delivered in 66% of attendances during the intervention period, demonstrating a significant level of practice change (p<0.001).
The 'Hypos can strike twice' intervention had a positive effect on reducing numbers of repeat attendances for hypoglycaemia and in achieving the care bundle. The study supports the use of information booklets by ambulance clinicians to prevent future attendances for recurrent hypoglycaemic events.
The 'Hypos can strike twice' intervention had a positive effect on reducing numbers of repeat attendances for hypoglycaemia and in achieving the care bundle. The study supports the use of information booklets by ambulance clinicians to prevent future attendances for recurrent hypoglycaemic events.
To develop fastCAT, a fast cone-beam computed tomography (CBCT) simulator. fastCAT uses pre-calculated Monte Carlo (MC) CBCT phantom-specific scatter and detector response functions to reduce simulation time for megavoltage (MV) and kilovoltage (kV) CBCT imaging.
Pre-calculated x-ray beam energy spectra, detector optical spread functions and energy deposition, and phantom scatter kernels are combined with GPU raytracing to produce CBCT volumes. MV x-ray beam spectra are simulated with EGSnrc for 2.5- and 6MeV electron beams incident on a variety of target materials and kV x-ray beam spectra are calculated analytically for an x-ray tube with a tungsten anode. Detectors were modeled in Geant4 extended by Topas and included optical transport in the scintillators. Two MV detectors were modeled-a standard Varian AS1200 GOS detector and a novel CWO high detective quantum efficiency detector. A kV CsI detector was also modeled. Energy-dependent scatter kernels were created in Topas for two 16cm diameter phantomsU years.
We present an open source fast CBCT simulation with high fidelity to MC simulations. The fastCAT python package can be found at https//github.com/jerichooconnell/fastCAT.git.
We present an open source fast CBCT simulation with high fidelity to MC simulations. The fastCAT python package can be found at https//github.com/jerichooconnell/fastCAT.git.