The Royal College of surgeons multidisciplinary guidelines on elective tracheostomy insertion in COVID-19 ventilated patients.

BACKGROUND: The current COVID-19 pandemic has placed enormous strain on healthcare systems worldwide. Understanding of COVID-19 is rapidly evolving. Pneumonia associated with COVID-19 may lead to respiratory failure requiring mechanical ventilation. The rise in patients requiring mechanical ventilation may lead to an increase in tracheostomies being performed in patients with COVID-19. Performing tracheostomy in patients with active SARS-CoV-2 infection poses a number of challenges. METHODS: These guidelines were written following multidisciplinary agreement between Otolaryngology, Head and Neck Surgery, Respiratory Medicine and the Department of Anaesthetics and Critical Care Medicine in the Royal College of Surgeons in Ireland. A literature review was performed and a guideline for elective tracheostomy insertion in patients with COVID-19 proposed. CONCLUSION: The decision to perform tracheostomy in patients with COVID-19 should be undertaken by senior members of the multidisciplinary team. Steps should be taken to minimise risks to healthcare workers.

Validation of phlebotomy performance metrics developed as part of a proficiency-based progression initiative to mitigate wrong blood in tube.

AIMS: The purpose of this study was to (1) characterise the procedure of phlebotomy, deconstruct it into its constituent parts and develop a performance metric for the purpose of training healthcare professionals in a large teaching hospital and to (2) evaluate the construct validity of the phlebotomy metric and establish a proficiency benchmark. METHOD: By engaging with a multidisciplinary team with a wide range of experience of preanalytical errors in phlebotomy and observing video recordings of the procedure performed in the actual working environment, we defined a performance metric. This was brought to a modified Delphi meeting, where consensus was reached by an expert panel. To demonstrate construct validity, we used the metric to objectively assess the performance of novices and expert practitioners. RESULTS: A phlebotomy metric consisting of 11 phases and 77 steps was developed. The mean inter-rater reliability was 0.91 (min 0.83, max 0.95). The expert group completed more steps of the procedure (72 vs 69), made fewer errors (19 vs 13, p=0.014) and fewer critical errors (1 Vs 4, p=0.002) than the novice group. CONCLUSIONS: The metrics demonstrated construct validity and the proficiency benchmark was established with a minimum observation of 69 steps, with no critical errors and no more than 13 errors in total.

A computer-human interaction model to improve the diagnostic accuracy and clinical decision-making during 12-lead electrocardiogram interpretation.

INTRODUCTION: The 12-lead Electrocardiogram (ECG) presents a plethora of information and demands extensive knowledge and a high cognitive workload to interpret. Whilst the ECG is an important clinical tool, it is frequently incorrectly interpreted. Even expert clinicians are known to impulsively provide a diagnosis based on their first impression and often miss co-abnormalities. Given it is widely reported that there is a lack of competency in ECG interpretation, it is imperative to optimise the interpretation process. Predominantly the ECG interpretation process remains a paper based approach and whilst computer algorithms are used to assist interpreters by providing printed computerised diagnoses, there are a lack of interactive human-computer interfaces to guide and assist the interpreter. METHODS: An interactive computing system was developed to guide the decision making process of a clinician when interpreting the ECG. The system decomposes the interpretation process into a series of interactive sub-tasks and encourages the clinician to systematically interpret the ECG. We have named this model 'Interactive Progressive based Interpretation' (IPI) as the user cannot 'progress' unless they complete each sub-task. Using this model, the ECG is segmented into five parts and presented over five user interfaces (1: Rhythm interpretation, 2: Interpretation of the P-wave morphology, 3: Limb lead interpretation, 4: QRS morphology interpretation with chest lead and rhythm strip presentation and 5: Final review of 12-lead ECG). The IPI model was implemented using emerging web technologies (i.e. HTML5, CSS3, AJAX, PHP and MySQL). It was hypothesised that this system would reduce the number of interpretation errors and increase diagnostic accuracy in ECG interpreters. To test this, we compared the diagnostic accuracy of clinicians when they used the standard approach (control cohort) with clinicians who interpreted the same ECGs using the IPI approach (IPI cohort). RESULTS: For the control cohort, the (mean; standard deviation; confidence interval) of the ECG interpretation accuracy was (45.45%; SD=18.1%; CI=42.07, 48.83). The mean ECG interpretation accuracy rate for the IPI cohort was 58.85% (SD=42.4%; CI=49.12, 68.58), which indicates a positive mean difference of 13.4%. (CI=4.45, 22.35) An N-1 Chi-square test of independence indicated a 92% chance that the IPI cohort will have a higher accuracy rate. Interpreter self-rated confidence also increased between cohorts from a mean of 4.9/10 in the control cohort to 6.8/10 in the IPI cohort (p=0.06). Whilst the IPI cohort had greater diagnostic accuracy, the duration of ECG interpretation was six times longer when compared to the control cohort. CONCLUSIONS: We have developed a system that segments and presents the ECG across five graphical user interfaces. Results indicate that this approach improves diagnostic accuracy but with the expense of time, which is a valuable resource in medical practice.

A metric-based analysis of structure and content of telephone consultations of final-year medical students in a high-fidelity emergency medicine simulation.

OBJECTIVES: In this study we aimed to analyse the structure and content of telephone consultations of final-year medical students in a high-fidelity emergency medicine simulation. The purpose was to identify any areas of deficiency within structure and content in the effective transfer of clinical information via the telephone of final-year medical students. DESIGN: An educational study. SETTING: Simulation centre in a medical school. PARTICIPANTS: 113 final-year medical students. PRIMARY AND SECONDARY OUTCOMES: The primary outcome was to analyse the structure and content of telephone consultations of final-year medical students in a high-fidelity emergency medicine simulation. The secondary outcome was to identify any areas of deficiency within structure and content in the effective transfer of clinical information via the telephone of final-year medical students. RESULTS: During phone calls to a senior colleague 30% of students did not positively identify themselves, 29% did not identify their role, 32% did not positively identify the recipient of the phone call, 59% failed to positively identify the patient, 49% did not read back the recommendations of their senior colleague and 97% did not write down the recommendations of their senior colleague. CONCLUSIONS: We identified a deficiency in our students skills to communicate relevant information via the telephone, particularly failure to repeat back and write down instructions. We suggest that this reflects a paucity of opportunities to practice this skill in context during the undergraduate years. The assumption that this skill will be acquired following qualification constitutes a latent error within the healthcare system. The function of undergraduate medical education is to produce graduates who are fit for purpose at the point of graduation.

A study of innovative patient safety education.

BACKGROUND: Medical error continues to significantly harm patients, notwithstanding the continued efforts to improve the situation over the past decade. We report a pilot project using high-fidelity simulation to integrate the World Health Organisation (WHO) patient safety curriculum into undergraduate medical education. METHODS: From the literature on avoidable medical error we developed a series of authentic clinical scenarios using a Clinical Skills Lab (CSL) and simulated patients to produce a high-fidelity simulated ward environment. The clinical challenges embody common day-to-day encounters experienced by newly graduated doctors. After participating, final-year medical students were given time to reflect on the experience, given feedback and completed a quantitative evaluation. RESULTS: Twenty final-year medical students completed the scenarios, and gave written feedback using a Likert scale (ranging from 1, strongly disagree, to 7, strongly agree). The responses showed 18 students agreed or strongly agreed that the session was valuable, all 20 would recommend the session to peers and 18 would be interested in attending further sessions. The students gave more mixed views of faculty feedback: 13 agreed or strongly agreed that this was useful, five were undecided and two were undecided or disagreed. CONCLUSION: With the caveats of a small sample size, first experience of high-fidelity simulation, the 'halo' effect in the evaluation, and with possible omissions from our evaluation, the students reported predominantly positively on the experience. We believe that the use of high-fidelity simulation in patient safety is a promising, safe and low-cost curricular development in undergraduate medical education. It is transferable worldwide and has the potential to improve patient safety outcomes by reducing medical error.

Using standardized patients to assess communication skills in medical and nursing students.

BACKGROUND: A number of recent developments in medical and nursing education have highlighted the importance of communication and consultation skills (CCS). Although such skills are taught in all medical and nursing undergraduate curriculums, there is no comprehensive screening or assessment programme of CCS using professionally trained Standardized Patients Educators (SPE's) in Ireland. This study was designed to test the content, process and acceptability of a screening programme in CCS with Irish medical and nursing students using trained SPE's and a previously validated global rating scale for CCS. METHODS: Eight tutors from the Schools of Nursing and Medicine at University College Cork were trained in the use of a validated communication skills and attitudes holistic assessment tool. A total of forty six medical students (Year 2 of 5) and sixty four nursing students (Year 2/3 of 4) were selected to under go individual CCS assessment by the tutors via an SPE led scenario. Immediate formative feedback was provided by the SPE's for the students. Students who did not pass the assessment were referred for remediation CCS learning. RESULTS: Almost three quarters of medical students (33/46; 72%) and 81% of nursing students (56/64) passed the CCS assessment in both communication and attitudes categories. All nursing students had English as their first language. Nine of thirteen medical students referred for enhanced learning in CCS did not have English as their first language. CONCLUSIONS: A significant proportion of both medical and nursing students required referral for enhanced training in CCS. Medical students requiring enhanced training were more likely not to have English as a first language.

Upper-bounding the incidence rate of associations between camouflage uniforms and surveillance images.

Camouflage garments can be associated with surveillance images of a crime scene even in the absence of unique wear marks or very high-quality images. However, the probability of an accidental association, or incidence rate, is significant. The present work describes and validates a method for estimating the incidence rate based on a statistical model of the garment manufacturing process. The model was developed primarily for use with the current U.S. Army Combat Uniform (ACU), but can be applied to any camouflage garment. Eight garment manufacturers were studied, and all sources of variation in the manufacturing process were characterized. The marking and spreading procedures were found to be dominant and consistent sources of variation. However, some sources of variation, in particular those because of human operators, were not consistent enough to accurately characterize. Sources of variation that could not be well-characterized were ignored in the statistical model, yielding a worst-case estimate that is an upper-bound to the true incidence rate. The model was evaluated for a variety of cases. Depending on the quality of the surveillance image, the manufacturing parameters, and the local population, incidence rates range from about 3% to negligibly small. The model was validated by returning to one manufacturer, and sampling a large number of completed garments and estimating empirical match probabilities. The empirical probabilities validated the estimates of the worst-case incidence rate and also demonstrated that typical incidence rates are significantly lower.