Attentional selectivity,automaticity, and self-efficacy predict simulator-acquired skill transfer to the clinical environment

Introduction

Several studies demonstrated that simulator-acquired skill transfer to the operating room is incomplete. Our objective was to identify trainee characteristics that predict the transfer of simulator-acquired skill to the operating room.

Simulated versus traditional therapeutic radiography placements: A randomised controlled trial

IntroductionClinical placements provide rich learning environments for health professional pre-registration education but add significant workload pressure to clinical departments. Advances in simulation approaches mean that many aspects of students’ clinical learning can be undertaken in the academic environment. There is, however, little data identifying specific pedagogical gains afforded by simulation compared to clinical placement. This study measured the impact of a comprehensive integrated simulation placement on student clinical skill acquisition.MethodsA virtual department was developed using a range of simulation equipment and software, with actors and service users providing a range of patients for students to engage with. A cohort of 29 first-year undergraduate therapeutic radiography students were randomly assigned to either simulated or conventional clinical placement. Clinical skills assessment scores provided by a blinded assessor were then compared.ResultsMean overall assessment scores for each cohort were within 3% of each other. The simulation cohort had over 10% higher “communication” scores than the traditional group (p = 0.028). The ability to gain both technical and interpersonal skills simultaneously improved learning compared to clinical placement. Students valued the structured approach of the simulated placement and the opportunity to practice techniques in a safe unpressured environment.ConclusionAn integrated simulated placement can help students to achieve clinical learning outcomes and lead to improved interpersonal skills.Implications for practiceUse of blended simulation resources can enable students to acquire technical, procedural and interpersonal skills which in turn may enable reduction of overall clinical placement time and departmental training burden.     

Enteric anendocrinosis attributable to a novel Neurogenin-3 variant

Congenital diarrhea and enteropathies (CODEs) are a group of monogenic disorders that often present with severe diarrhea in the first weeks of life. Enteric anendocrinosis (EA), an extremely rare cause of CODE, is characterized by a marked reduction of intestinal enteroendocrine cells (EC). EA is associated with recessively inherited variants in Neurogenin-3 (NEUROG3) gene. Here we investigate a case of a male infant who presented with mysterious severe malabsorptive diarrhea since birth. Thorough clinical assessments and laboratory tests were successful to exclude the majority of differential diagnosis categories. However, the patient's diagnosis was not established until the genetic test using whole-exome sequencing (WES) was performed. We identified a novel homozygous missense disease-causing variant (DCV) in NEUROG3 (c.413C>G, p.Thr138Arg). Moreover, molecular dynamic simulation analysis showed that (p.Thr138Arg) led to a global change of the NEUROG3 orientation affecting its DNA binding capacity. To the best of our knowledge, this is the first time to apply WES to reach a differential diagnosis of patients with CODEs. Our study not only expands our knowledge about NEUROG3 variants and their clinical consequences but also proves that WES is a very effective tool for the diagnosis of CODEs. This might be of value in early diagnosis of diseases and prenatal CODEs detection.     

Radiotherapy-specific interprofessional learning through simulation

IntroductionInterprofessional learning (IPL) is a vital aspect of training in radiation oncology professions, yet is rarely delivered to those professionals who work most closely together in clinical practice. Scenario-based learning using simulation facilities provides a unique opportunity to facilitate this learning and this project aimed to determine the impact and value of this initiative.MethodsSmall groups comprising post-graduate diploma pre-registration therapeutic radiographers, medical physics trainees and radiation oncology registrars were challenged with 4 plausible and challenging radiotherapy scenarios within an academic simulation centre. Pre- and post-event completion of the “Readiness for Interprofessional Learning Scale” measured impact and a Likert-style survey gathered feedback from participants.ResultsThe session increased participants' teamwork and collaboration skills as well as strengthening professional identities. Participants reported high levels of enjoyment related to collaborative working, communication and observing other professionals deploying their technical skills and specialist knowledge.ConclusionAlthough beneficial, simulated scenarios offering equal opportunities for engagement across the professions are challenging to plan and timetabling issues between the 3 groups present significant difficulties. The safe environment and unique opportunity for these groups to learn together was particularly well received and future oncology-specific simulated scenario sessions are planned with larger cohorts.Implications for practiceSimulated scenario training can be used to improve team working across the radiotherapy interprofessional team and may have wider use in other specialist interdisciplinary team development.     

The effect of different statistical approaches on image quality data obtained from radiological examinations

IntroductionSelection of optimal image acquisition protocols in medical imaging remains a grey area, the superimposed use of the Likert scale in radiological image quality evaluations creates an additional challenge for the statistical analysis of image quality data.Using a simulation study, we have trialled a novel approach to analysing radiological image quality Likert scale data.MethodsA simulation study was undertaken where simulated datasets were generated based on the distribution of Likert scale values according to varying image acquisition protocols from a real dataset. Simulated Likert scale values were pooled in four different ways; the mean, median, mode and the summation of patient Likert scale values of which the total was assigned a categorical Likert scale value. Estimates of bias, MAPE and RMSPE were then calculated for all four pooling approaches to determine which method most accurately represented an expert's opinion.ResultsWhen compared to an expert's opinion, the method of summation and categorisation of Likert scale values was most accurate 49 times out of the 114 (43.0%) tests. The mean 28 times out of 114 (24.6%), the median 23 times out of 114 (20.2%) and the mode 17 times out of 114 (14.9%).ConclusionWe conclude that our method of summation and categorisation of Likert scale values is most often the best representation of the simulated data compared to the expert's opinion.Implications for practiceThere is scope to reproduce this simulation study with multiple observers to reflect clinical reality more accurately with the dynamic nature of multiple observers. This also prompts future investigation into other anatomical areas, to see if the same methods produce similar results.     

Silicone-based simulation models for peripheral nerve microsurgery

Background

There is a need for a peripheral nerve model on which surgeons-in-training can simulate the repair of nerve injuries at their own pace. Although practicing on animal models/cadavers is considered the “gold standard” of microsurgical training, the proposed model aims to provide a platform for improving the technical skills of surgical trainees prior to their practice on cadaver/animal models. In addition, this model has the potential to serve as a standardized test medium for assessing the skill sets of surgeons.

应用精细化管理提高GMP模拟车间实训课教学质量

目的通过对GMP模拟车间实训课学生评教数据分析,探讨精细化管理对其教学质量的影响,从而提高GMP模拟车间实训课教学质量。方法通过对管理前后学生教学质量评价进行对比,选取最适合GMP模拟车间的管理方法。结果采取精细化管理后,学生教学质量评价从35.71%提高到96.42%。结论对GMP模拟车间精细化管理能够有效提高该课程的教学质量,给社会带来更大的经济效益和社会效益。     

食管癌放疗中二次模拟定位临床探讨

目的：探讨食管癌放疗中间再次定位的必要性和重要性。方法：我院放疗科自1998年10月－2001年3月对356例食管癌患者行单纯放疗或放疗加化疗，356例患者照射全过程都进行二次模拟定位（第一次模拟定位后照射30－40GY／15－20次后进行第2次模拟定位）。比较分析前后二次模拟定位靶中心移位的情况。结果；靶中心移位＜0．5cm为157例，移位0．5－1．0cm为130例，移位＞1．0cm为69例。全部靶中心移位达55．90％。食管肿瘤长度＜5cm靶中心移位27例，5－8cm移位117例，病变长度＞8cm移位55例，P＜0．05；食管肿瘤发生于颈段，上胸段靶中心移位25例，而中、下段食管移位174例，P＜0．01。结论：食管肿瘤外照射达到一定剂量时，靶中心会出现不同程度的移位，肿瘤长度越长靶中心移位会更明显， 肿瘤位置越小，移位亦显著。因此，我们对食管癌患者放疗全过程必需进行2到3次定位，这样才能保证靶中心的精确度，以达到预期治疗目的。     

Three-Dimensional Soft Tissue Prediction Using Finite Elements

Abstract Background and Aim: The prediction of soft tissue esthetics is important for achieving an optimal esthetic outcome in orthodontic treatment planning. Applicable procedures have so far been restricted to two-dimensional profile predictions that have not proven to be very reliable. The goal of this investigation was therefore to develop a novel finite element-based procedure that allows a three-dimensional, easily visualized, quantitative analysis and prediction of soft tissue behavior for the clinician. The procedure to be developed should be easy to handle and not entail any additional radiation exposure for the patient. Material and Methods: Using a three-dimensional scanner, the facial surfaces of 20 probands were digitalized and individual FEM models were generated. Results: After reduction of data redundancy via several conversion steps, a patient-specific simulation model was prepared consisting of 20,000 to 40,000 individual elements to which specific physical properties could be assigned. The average time required for generating a virtual model was 50 minutes. Problems occurring during model generation were rare (mainly shadowing phenomena and movement artifacts). Conclusion: The procedure outlined herein makes the reliable generation of patient-specific simulation models possible for facial soft tissue prediction in orthodontics.     

A simulation study of three sequential methods for the comparison of two treatment groups when the response criterion is censored

Three recent sequential methods, group sequential analysis (GSA), the sequential probability ratio test (SPRT) and the triangular test (TT) are well suited to randomized clinical trials with a censored response criterion, as they do not require matched pairs of patients. We undertook a simulation study to investigate their statistical properties and to compare these three methods with the fixed-sample design. Our results suggest that the three methods have the expected statistical properties for size and power; they allow an important reduction of the average number of events before stopping, except with GSA when there is no treatment difference; the triangular test (closed design) appears the optimal design, as the variance of the number of events is smaller than with the sequential probability ratio test (open design) and analysis after every twenty new events does not alter the statistical properties of these sequential methods and enhances their usefulness.