Project description:OBJECTIVES:Hot environmental conditions can result in a high core-temperature and dehydration which can impair physical and cognitive performance. This study aimed to assess the effects of a hot operating theatre on various performance, physiological and psychological parameters in staff during a simulated burn surgery. METHODS:Due to varying activity levels, surgery staff were allocated to either an Active (n = 9) or Less-Active (n = 8) subgroup, with both subgroups performing two simulated burn surgery trials (CONTROL: ambient conditions; 23±0.2°C, 35.8±1.2% RH and HOT: 34±0°C, 28.3±1.9% RH; 150 min duration for each trial), using a crossover design with four weeks between trials. Manual dexterity, core-temperature, heart-rate, sweat-loss, thermal sensation and alertness were assessed at various time points during surgery. RESULTS:Pre-trials, 13/17 participants were mildly-significantly dehydrated (HOT) while 12/17 participants were mildly-significantly dehydrated (CONTROL). There were no significant differences in manual dexterity scores between trials, however there was a tendency for scores to be lower/impaired during HOT (both subgroups) compared to CONTROL, at various time-points (Cohen's d = -0.74 to -0.50). Furthermore, alertness scores tended to be higher/better in HOT (Active subgroup only) for most time-points (p = 0.06) compared to CONTROL, while core-temperature and heart-rate were higher in HOT either overall (Active; p<0.05) or at numerous time points (Less-Active; p<0.05). Finally, sweat-loss and thermal sensation were greater/higher in HOT for both subgroups (p<0.05). CONCLUSIONS:A hot operating theatre resulted in significantly higher core-temperature, heart-rate, thermal sensation and sweat-loss in staff. There was also a tendency for slight impairment in manual dexterity, while alertness improved. A longer, real-life surgery is likely to further increase physiological variables assessed here and in turn affect optimal performance/outcomes.
Project description:BackgroundThe COVID-19 pandemic has greatly affected access to elective surgery, largely because of concerns for patients and healthcare workers. A return to normal surgery workflow depends on the prevalence and transmission of coronavirus in elective surgical patients. The aim of this study was to determine the prevalence of active SARS-coronavirus-2 infection during a second wave among patients admitted to hospital for elective surgery in Victoria.MethodsProspective cohort study across eight hospitals in Victoria during July-August 2020 was conducted enrolling adults and children admitted to hospital for elective surgery or interventional procedure requiring general anaesthesia. Study outcomes included a positive polymerase chain reaction (PCR) test for SARS-CoV-2 in the preoperative period (primary outcome), and for those with a negative test preoperatively, the incidence of a positive PCR test for SARS-CoV-2 in the post-operative period.ResultsWe enrolled 4965 elective adult and paediatric surgical patients from 15 July to 31 August 2020. Four patients screened negative on questionnaire but had a positive PCR test for coronavirus, resulting in a Bayesian estimated prevalence of 0.12% (95% probability interval 0-0.26%). There were no reports of healthcare worker infections linked to elective surgery during and up to 2 weeks after the study period.ConclusionThe prevalence of SARS-CoV-2 in asymptomatic elective surgical patients during a second wave was approximately 1 in 833. Given the very low likelihood of coronavirus transmission, and with existing current hospital capacity, recommencement of elective surgery should be considered. A coronavirus screening checklist should be mandated for surgical patients.
Project description:BackgroundAdverse surgical incidents affect both patients and health professionals. This study sought to explore the effect of surgical incidents on operating theatre staff and their subsequent behaviours.MethodsEligible studies were primary research or reviews that focused on the effect of incidents on operating theatre staff in primary, secondary or tertiary care settings. MEDLINE, Embase, CINALH and PsycINFO were searched. A data extraction form was used to capture pertinent information from included studies and the Critical Appraisal Skills Programme (CASP) tool to appraise their quality. PRISMA-P reporting guidelines were followed and the review is registered with PROSPERO.ResultsA total of 3918 articles were identified, with 667 duplicates removed and 3230 excluded at the title, abstract and full-text stages. Of 21 included articles, eight focused on the impact of surgical incidents on surgeons and anaesthetists. Only two involved theatre nurses and theatre technicians. Five key themes emerged: the emotional impact on health professionals, organization culture and support, individual coping strategies, learning from surgical complications and recommended changes to practice.ConclusionHealth professionals suffered emotional distress and often changed their behaviour following a surgical incident. Both organizations and individual clinicians can do a great deal to support staff in the aftermath of serious incidents.
Project description:ObjectiveWe aimed to explore compliance with and barriers to wearing facemasks at the workplace among university teaching staff in Egypt.MethodsAn online survey was shared with teaching staff members at 11 public and 12 private Egyptian universities and high institutes, and 218 responses were received. All participants were asked about beliefs related to wearing facemasks. For participants who taught in-person classes, compliance with and barriers to wearing facemasks at the workplace were assessed. Compliance level was classified into: Non-compliance, inadequate and adequate, based on the degree of adherence to having facemasks on and not taking them off at five main work settings. We compared demographic characteristics, beliefs, and barriers scores across compliance levels.ResultsMost participants (81.7%) believed that facemasks reduce infection risk to others and 74.3% believed facemasks can reduce risk to the wearer. Around 80% of the respondents who taught in-person classes wore facemasks, but only 37.8% met the criteria of adequate compliance. Difficulty breathing and impaired communication were cited as major barriers by 42.2% and 30.3% of in-person class tutors respectively. The risk of reporting COVID-19 like symptoms among non-compliant participants was double the risk among those with adequate compliance (45.9% vs 25.7% respectively). Adequate compliance was significantly associated with higher positive beliefs scores and lower barriers scores.ConclusionAdequate compliance with wearing facemasks at the workplace was low. Addressing negative beliefs may improve compliance. Difficulty breathing, and impaired communication were important barriers, therefore we recommend replacing in-person interactions with online classes whenever applicable.Supplementary informationThe online version contains supplementary material available at 10.1007/s44155-022-00011-3.
Project description:COVID-19 patients in the critical care unit tend to have prolonged hospital stay requiring high doses of sedation and paralysis to treat acute respiratory distress syndrome, resulting in a shortage of these drugs. In our hospital, we have instituted strategies to rationalise drug and oxygen usage. This includes prioritising time-sensitive elective cases, reducing overall elective case load, favouring opioid-reduction strategies and usage of alternative anaesthetic agents not commonly used in ICU. Both intensive care physicians and anaesthesiologists have to cooperate on drug conservation as similar drugs are used in elective operating lists as in the ICU. Patient safety is of utmost importance and we should keep in mind some pitfalls and ethical concerns of these alternative strategies.
Project description:Purpose:To determine the association between preoperative lumbar epidural injections (LEIs) in the operating theater (OR) and the occurrence of surgical site infection (SSI) after posterior lumbar instrumented fusion surgery. Methods:This study was performed from January 2015 to September 2019. We enrolled 2312 patients who underwent lumbar surgery without LEIs (control group) and 469 patients who underwent lumbar surgery after LEIs in the OR. We further separated the patients by the time interval between the LEIs and surgery: 1) for the 0-1 M group, lumbar surgery was performed within 1 month after the LEIs, and 2) for the >1 M group, it was performed more than 1 month after the LEIs. Results:The postoperative infection rate in the 0-1 M group was considerably higher than that in the control group (p = 0.0101). We further subdivided the 0-1 M and >1 M groups into four subgroups: a) the 0-1 MNS group included patients in the 0-1 M group who did not receive steroids; b) the 0-1 MS group who received steroids; c) the >1 MNS group included patients in the >1 M group who did not receive steroids; d) the >1 MS group who received steroids. The postoperative infection rate in the 0-1 MS subgroup was considerably higher than that in the control group (p = 0.0018). However, the infection rate was lower in the >1 MS subgroup (p = 0.1650). There were no statistically significant differences in the postoperative infection rate between the control group and the two non-steroid groups (0-1 MNS group, p = 0.4961; 1 MNS group, p = 0.7381). Conclusion:The administration of LEIs without steroids in the OR before lumbar instrumented fusion does not significantly increase patients' risk of postoperative infection. We recommend avoiding steroid injections administered within 1 month before lumbar instrumented fusion.
Project description:The world continues in the grip of COVID-19 with devastated tourism industries and global economies. In a previous paper, it was noted that a country's failure to dampen a first wave of infection or the recurrence of a second wave would serve as disincentives for greatly needed tourists in summer 2020 and would further significantly reduce tourism revenues and potentially accelerate job losses and bankruptcies in affected countries. Countries in the first wave of infection would need to restrain COVID-19 spread swiftly in order to benefit from summer 2020 tourism. Countries that had controlled COVID-19 and who experienced second waves would manifest the same negative effects. In the case of Malta, up to the beginning of July, the country had the lowest COVID-19 numbers in Europe but this ended abruptly when two mass events took place. In a fortnight, the steep escalation of cases led to a downgrade of the country's status to a high-risk destination, with a host of European countries enacting quarantine measures. The Maltese government re-imposed restrictions and COVID-19 numbers slowly started to temporarily decline. As an economy, Malta is highly dependent on the tourism industry, with approximately 17% of GDP reliant on this sector, directly and indirectly. Malta's red listing wrought a heavy toll on the industry. The World Health Organisation has mandated clear criteria for the release of restrictions and this sequence of events should serve as a cautionary tale: heed the advice of our public health colleagues. Highlights • COVID-19 has devastated tourism and global economies.• Tourism is greatly needed to revive economies.• High levels of COVID-19 are tourist disincentives for summer 2020.• Malta had low COVID-19 numbers but two July mass events changed this.• An initial spike in tourism in the first half of August fell drastically thereafter.
Project description:A second wave pandemic constitutes an imminent threat to society, with a potentially immense toll in terms of human lives and a devastating economic impact. We employ the epidemic Renormalisation Group (eRG) approach to pandemics, together with the first wave data for COVID-19, to efficiently simulate the dynamics of disease transmission and spreading across different European countries. The framework allows us to model, not only inter and extra European border control effects, but also the impact of social distancing for each country. We perform statistical analyses averaging on different level of human interaction across Europe and with the rest of the World. Our results are neatly summarised as an animation reporting the time evolution of the first and second waves of the European COVID-19 pandemic. Our temporal playbook of the second wave pandemic can be used by governments, financial markets, the industries and individual citizens, to efficiently time, prepare and implement local and global measures.
Project description:Marissa Renardy and Denise Kirschner University of Michigan Medical School The COVID-19 pandemic has highlighted the patchwork nature of disease epidemics, with infection spread dynamics varying wildly across countries and across states within the US. These heteroge- neous patterns are also observed within individual states, with patches of concentrated outbreaks. Data is being generated daily at all of these spatial scales, and answers to questions regarded re- opening strategies are desperately needed. Mathematical modeling is useful in exactly these cases, and using modeling at a county scale may be valuable to further predict disease dynamics for the purposes of public health interventions. To explore this issue, we study and predict the spread of COVID-19 in Washtenaw County, MI, the home to University of Michigan, Eastern Michigan University, and Google, as well as serving as a sister city to Detroit, MI where there has been a serious outbreak. Here, we apply a discrete and stochastic network-based modeling framework allowing us to track every individual in the county. In this framework, we construct contact net- works based on synthetic population datasets specific for Washtenaw County that are derived from US Census datasets. We assign individuals to households, workplaces, schools, and group quarters (such as prisons). In addition, we assign casual contacts to each individual at random. Using this framework, we explicitly simulate Michigan-specific government-mandated workplace and school closures as well as social distancing measures. We also perform sensitivity analyses to identify key model parameters and mechanisms contributing to the observed disease burden in the three months following the first observed cases on COVID-19 in Michigan. We then consider several scenarios for relaxing restrictions and reopening workplaces to predict what actions would be most prudent. In particular, we consider the effects of 1) different timings for reopening, and 2) different levels of workplace vs. casual contact re-engagement. Through simulations and sensitivity analyses, we explore mechanisms driving magnitude and timing of a second wave of infections upon re-opening. This model can be adapted to other US counties using synthetic population databases and data specific to those regions.