Generative Adversarial Networks in Medicine: Important Considerations for this Emerging Innovation in Artificial Intelligence.

The advent of artificial intelligence (AI) and machine learning (ML) has revolutionized the field of medicine. Although highly effective, the rapid expansion of this technology has created some anticipated and unanticipated bioethical considerations. With these powerful applications, there is a necessity for framework regulations to ensure equitable and safe deployment of technology. Generative Adversarial Networks (GANs) are emerging ML techniques that have immense applications in medical imaging due to their ability to produce synthetic medical images and aid in medical AI training. Producing accurate synthetic images with GANs can address current limitations in AI development for medical imaging and overcome current dataset type and size constraints. Offsetting these constraints can dramatically improve the development and implementation of AI medical imaging and restructure the practice of medicine. As observed with its other AI predecessors, considerations must be taken into place to help regulate its development for clinical use. In this paper, we discuss the legal, ethical, and technical challenges for future safe integration of this technology in the healthcare sector.

Objective Measurement of Learners' Cognitive Load During Simulation-Based Trauma Team Training: A Pilot Study.

INTRODUCTION: Literature has shown cognitive overload which can negatively impact learning and clinical performance in surgery. We investigated learners' cognitive load during simulation-based trauma team training using an objective digital biomarker. METHODS: A cross-sectional study was carried out in a simulation center where a 3-h simulation-based interprofessional trauma team training program was conducted. A session included three scenarios each followed by a debriefing session. One scenario involved multiple patients. Learners wore a heart rate sensor that detects interbeat intervals in real-time. Low-frequency/high-frequency (LF/HF) ratio was used as a validated proxy for cognitive load. Learners' LF/HF ratio was tracked through different phases of simulation. RESULTS: Ten subjects participated in 12 simulations. LF/HF ratios during scenario versus debriefing were compared for each simulation. These were 3.75 versus 2.40, P < 0.001 for scenario 1; 4.18 versus 2.77, P < 0.001 for scenario 2; and 4.79 versus 2.68, P < 0.001 for scenario 3. Compared to single-patient scenarios, multiple-patient scenarios posed a higher cognitive load, with LF/HF ratios of 3.88 and 4.79, P < 0.001, respectively. CONCLUSIONS: LF/HF ratio, a proxy for cognitive load, was increased during all three scenarios compared to debriefings and reached the highest levels in a multiple-patient scenario. Using heart rate variability as an objective marker of cognitive load is feasible and this metric is able to detect cognitive load fluctuations during different simulation phases and varying scenario difficulties.

Team emergency assessment measure (TEAM) of non-technical skills: The Brazilian Portuguese version of the TEAM tool.

OBJECTIVES: The aim of this study was to conduct the translation and cross-cultural adaptation of the original Team Emergency Assessment Measure (TEAM) tool into the Brazilian Portuguese language and investigate the internal consistency, inter-rater reliability, and concurrent validity of this new version (bp-TEAM). METHODS: Independent medical translators performed forward and backward translations of the TEAM tool between English and Portuguese, creating the bp-TEAM. The authors selected 23 videos from final-year medical students during in-situ emergency simulations. Three independent raters assessed all the videos using the bp-TEAM and provided a score for each of the 12 items of the tool. The authors assessed the internal consistency and the inter-rater reliability of the tool. RESULTS: Raters assessed all 23 videos. Internal consistency was assessed among the 11 items of the bp-TEAM from one rater, yielding a Cronbach's alpha of 0.89. inter-item correlation analysis yielded a mean correlation coefficient rho of 0.46. Inter-rater reliability analysis among the three raters yielded an intraclass correlation coefficient of 0.86 (95% CI 0.83‒0.89), p < 0.001. CONCLUSION: The Brazilian Portuguese version of the TEAM tool presented acceptable psychometric properties, similar to the original English version.

Impact of Teamwork and Communication Training Interventions on Safety Culture and Patient Safety in Emergency Departments: A Systematic Review.

OBJECTIVES: This study aimed to narratively summarize the literature reporting on the effect of teamwork and communication training interventions on culture and patient safety in emergency department (ED) settings. METHODS: We searched PubMed, EMBASE, Psych Info CINAHL, Cochrane, Science Citation Inc, the Web of Science, and Educational Resources Information Centre for peer-reviewed journal articles published from January 1, 1988, to June 8, 2018, that assessed teamwork and communication interventions focusing on how they influence patient safety in the ED. One additional search update was performed in July 2019. RESULTS: Sixteen studies were included from 8700 screened publications. The studies' design, interventions, and evaluation methods varied widely. The most impactful ED training interventions were End-of-Course Critique, Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS), and crisis resource management (CRM)-based training. Crisis resource management and TeamSTEPPS CRM-based training curriculum were used in most of the studies. Multiple tools, including the Kirkpatrick evaluation model, the Agency for Healthcare Research and Quality Hospital Survey on Patient Safety Culture, the TeamSTEPPS Teamwork Attitudes Questionnaire, the Safety Attitudes Questionnaire, and the Communication and Teamwork Skills Assessment, were used to assess the impact of such interventions. Improvements in one of the domains of safety culture and related domains were found in all studies. Four empirical studies established improvements in patient health outcomes that occurred after simulation CRM training (Kirkpatrick 4), but there was no effect on mortality. CONCLUSIONS: Overall, teamwork and communication training interventions improve the safety culture in ED settings and may positively affect patient outcome. The implementation of safety culture programs may be considered to reduce incidence of medical errors and adverse events.

Team emergency assessment measure (TEAM) of non-technical skills: The Brazilian Portuguese version of the TEAM tool

Abstract Objectives The aim of this study was to conduct the translation and cross-cultural adaptation of the original Team Emergency Assessment Measure (TEAM) tool into the Brazilian Portuguese language and investigate the internal consistency, inter-rater reliability, and concurrent validity of this new version (bp-TEAM). Methods Independent medical translators performed forward and backward translations of the TEAM tool between English and Portuguese, creating the bp-TEAM. The authors selected 23 videos from final-year medical students during in-situ emergency simulations. Three independent raters assessed all the videos using the bp-TEAM and provided a score for each of the 12 items of the tool. The authors assessed the internal consistency and the inter-rater reliability of the tool. Results Raters assessed all 23 videos. Internal consistency was assessed among the 11 items of the bp-TEAM from one rater, yielding a Cronbach's alpha of 0.89. inter-item correlation analysis yielded a mean correlation coefficient rho of 0.46. Inter-rater reliability analysis among the three raters yielded an intraclass correlation coefficient of 0.86 (95% CI 0.83‒0.89), p < 0.001. Conclusion The Brazilian Portuguese version of the TEAM tool presented acceptable psychometric properties, similar to the original English version.

Impact of nonclinical factors on intensive care unit admission decisions: a vignette-based randomized trial (V-TRIAGE). / Impacto de fatores não clínicos nas decisões relacionadas à admissão em unidade de terapia intensiva: um ensaio randomizado com base em vinhetas (V-TRIAGE).

OBJECTIVE: To assess the impact of intensive care unit bed availability, distractors and choice framing on intensive care unit admission decisions. METHODS: This study was a randomized factorial trial using patient-based vignettes. The vignettes were deemed archetypical for intensive care unit admission or refusal, as judged by a group of experts. Intensive care unit physicians were randomized to 1) an increased distraction (intervention) or a control group, 2) an intensive care unit bed scarcity or nonscarcity (availability) setting, and 3) a multiple-choice or omission (status quo) vignette scenario. The primary outcome was the proportion of appropriate intensive care unit allocations, defined as concordance with the allocation decision made by the group of experts. RESULTS: We analyzed 125 physicians. Overall, distractors had no impact on the outcome; however, there was a differential drop-out rate, with fewer physicians in the intervention arm completing the questionnaire. Intensive care unit bed availability was associated with an inappropriate allocation of vignettes deemed inappropriate for intensive care unit admission (OR = 2.47; 95%CI 1.19 - 5.11) but not of vignettes appropriate for intensive care unit admission. There was a significant interaction with the presence of distractors (p = 0.007), with intensive care unit bed availability being associated with increased intensive care unit admission of vignettes inappropriate for intensive care unit admission in the distractor (intervention) arm (OR = 9.82; 95%CI 2.68 - 25.93) but not in the control group (OR = 1.02; 95%CI 0.38 - 2.72). Multiple choices were associated with increased inappropriate allocation in comparison to the omission group (OR = 5.18; 95%CI 1.37 - 19.61). CONCLUSION: Intensive care unit bed availability and cognitive biases were associated with inappropriate intensive care unit allocation decisions. These findings may have implications for intensive care unit admission policies.

OBJETIVO: Avaliar o impacto da disponibilidade de leitos em unidade de terapia intensiva, distratores e formatação da escolha, nas decisões de admissão na unidade de terapia intensiva. MÉTODOS: Este estudo foi um ensaio randomizado fatorial, com utilização de vinhetas baseadas em pacientes. As vinhetas foram consideradas arquetípicas para admissão ou recusa de admissão na unidade de terapia intensiva, conforme julgado por um grupo de especialistas. Médicos de unidade de terapia intensiva foram randomizados para um grupo com distrações (intervenção) ou um grupo controle; a um ambiente de escassez ou de disponibilidade de leitos em unidade de terapia intensiva (disponibilidade) e a uma vinheta com cenário de múltipla escolha ou omissão (status quo). O desfecho primário foi a proporção de alocações adequadas à unidade de terapia intensiva, definida como concordância com as decisões de alocação acordadas pelo grupo de especialistas. RESULTADOS: Analisamos 125 médicos. Em termos gerais, os distratores não tiveram impacto sobre o desfecho; contudo, houve taxa diferenciada de desistências, com menos médicos no grupo intervenção tendo respondido completamente ao questionário. A disponibilidade de leitos em unidade de terapia intensiva se associou com alocações inadequadas de vinhetas consideradas não adequadas para admissão na unidade de terapia intensiva (RC = 2,47; IC95% 1,19 - 5,11), porém não com vinhetas apropriadas para admissão na unidade de terapia intensiva. Ocorreu interação significante com a presença de distratores (p = 0,007), sendo a disponibilidade de leitos na unidade de terapia intensiva associada com maior admissão na unidade de terapia intensiva de vinhetas não apropriadas para admissão na unidade de terapia intensiva no braço com distratores (intervenção) (RC = 9,82; IC95% 2,68 - 25,93), porém não no grupo controle (RC = 5,18; IC95% 1,37 - 19,61). CONCLUSÃO: A disponibilidade de leitos em unidade de terapia intensiva e vieses cognitivos se associaram com decisões inadequadas de alocação à unidade de terapia intensiva. Esses achados podem ter implicações para políticas de admissão na unidade de terapia intensiva.

Impacto de fatores não clínicos nas decisões relacionadas à admissão em unidade de terapia intensiva: um ensaio randomizado com base em vinhetas (V-TRIAGE) / Impact of nonclinical factors on intensive care unit admission decisions: a vignette-based randomized trial (V-TRIAGE)

RESUMO Objetivo: Avaliar o impacto da disponibilidade de leitos em unidade de terapia intensiva, distratores e formatação da escolha, nas decisões de admissão na unidade de terapia intensiva. Métodos: Este estudo foi um ensaio randomizado fatorial, com utilização de vinhetas baseadas em pacientes. As vinhetas foram consideradas arquetípicas para admissão ou recusa de admissão na unidade de terapia intensiva, conforme julgado por um grupo de especialistas. Médicos de unidade de terapia intensiva foram randomizados para um grupo com distrações (intervenção) ou um grupo controle; a um ambiente de escassez ou de disponibilidade de leitos em unidade de terapia intensiva (disponibilidade) e a uma vinheta com cenário de múltipla escolha ou omissão (status quo). O desfecho primário foi a proporção de alocações adequadas à unidade de terapia intensiva, definida como concordância com as decisões de alocação acordadas pelo grupo de especialistas. Resultados: Analisamos 125 médicos. Em termos gerais, os distratores não tiveram impacto sobre o desfecho; contudo, houve taxa diferenciada de desistências, com menos médicos no grupo intervenção tendo respondido completamente ao questionário. A disponibilidade de leitos em unidade de terapia intensiva se associou com alocações inadequadas de vinhetas consideradas não adequadas para admissão na unidade de terapia intensiva (RC = 2,47; IC95% 1,19 - 5,11), porém não com vinhetas apropriadas para admissão na unidade de terapia intensiva. Ocorreu interação significante com a presença de distratores (p = 0,007), sendo a disponibilidade de leitos na unidade de terapia intensiva associada com maior admissão na unidade de terapia intensiva de vinhetas não apropriadas para admissão na unidade de terapia intensiva no braço com distratores (intervenção) (RC = 9,82; IC95% 2,68 - 25,93), porém não no grupo controle (RC = 5,18; IC95% 1,37 - 19,61). Conclusão: A disponibilidade de leitos em unidade de terapia intensiva e vieses cognitivos se associaram com decisões inadequadas de alocação à unidade de terapia intensiva. Esses achados podem ter implicações para políticas de admissão na unidade de terapia intensiva.

Abstract Objective: To assess the impact of intensive care unit bed availability, distractors and choice framing on intensive care unit admission decisions. Methods: This study was a randomized factorial trial using patient-based vignettes. The vignettes were deemed archetypical for intensive care unit admission or refusal, as judged by a group of experts. Intensive care unit physicians were randomized to 1) an increased distraction (intervention) or a control group, 2) an intensive care unit bed scarcity or nonscarcity (availability) setting, and 3) a multiple-choice or omission (status quo) vignette scenario. The primary outcome was the proportion of appropriate intensive care unit allocations, defined as concordance with the allocation decision made by the group of experts. Results: We analyzed 125 physicians. Overall, distractors had no impact on the outcome; however, there was a differential drop-out rate, with fewer physicians in the intervention arm completing the questionnaire. Intensive care unit bed availability was associated with an inappropriate allocation of vignettes deemed inappropriate for intensive care unit admission (OR = 2.47; 95%CI 1.19 - 5.11) but not of vignettes appropriate for intensive care unit admission. There was a significant interaction with the presence of distractors (p = 0.007), with intensive care unit bed availability being associated with increased intensive care unit admission of vignettes inappropriate for intensive care unit admission in the distractor (intervention) arm (OR = 9.82; 95%CI 2.68 - 25.93) but not in the control group (OR = 1.02; 95%CI 0.38 - 2.72). Multiple choices were associated with increased inappropriate allocation in comparison to the omission group (OR = 5.18; 95%CI 1.37 - 19.61). Conclusion: Intensive care unit bed availability and cognitive biases were associated with inappropriate intensive care unit allocation decisions. These findings may have implications for intensive care unit admission policies.

The growing impact of older patients in the emergency department: a 5-year retrospective analysis in Brazil.

BACKGROUND: The average age of the global population is rising at an increasing rate. There is a disproportional increase in Emergency Department (ED) visits by older people worldwide. In the Brazilian health system, complex and severely ill patients and those requiring specialized urgent procedures are referred to tertiary level care. As far as we know, no other study in Latin America has analyzed the impact of demographic changes in tertiary ED attendance. AIM: To describe the sociodemographic characteristics and outcomes of tertiary Brazilian ED users. METHODS: Design: Observational cross-sectional analytic study. SETTING: Emergency Department, tertiary university hospital, São Paulo, Brazil. PARTICIPANTS: patients aged 18 years or older attending a tertiary ED (2009-2013). The primary outcomes were hospitalization and mortality; the secondary outcome was ICU admission. Age was categorized as 'young adults' (18-39y), 'adults' (40-59y), 'young-older adults' (60-79y), and 'old-older adults' (80-109y). Other variables included sex, reason for attendance, time of ED visit, mode of presentation, type of hospitalization, main procedure, length of hospital stay (LOS) and length of ICU stay (ICU-LOS). We calculated descriptive statistics, built generalized linear mixed models for each outcome and estimated Odds Ratios (95% CI) for the independent categorical variables. The significance level was 5% with Bonferroni correction. RESULTS: Older age-groups represented 26.6% of 333,028 ED visits, 40.7% of admissions, 42.7% of ICU admissions and 58% of all deaths. Old-older patients accounted for 5.1% of ED visits, 9.5% of admissions and 10.1% of ICU admissions. Hospitalization, ICU admission and mortality rates increased with older age in both sexes. LOS and ICU-LOS were similar across age-groups. The proportions of visits and admissions attributed to young adults decreased annually, while those of people aged 60 or over increased. The ORs for hospitalization, ICU admission and mortality associated with the old-older group were 3.49 (95% CI = 3.15-3.87), 1.27 (1.15-1.39) and 5.93 (5.29-6.66) respectively, with young adults as the reference. CONCLUSIONS: In tertiary ED, age is an important risk factor for hospitalization and mortality, but not for ICU admission. Old-older people are at the greatest risk and demand further subgroup stratification.

Prognostication in urgent intensive care unit referrals: a cohort study.

OBJECTIVES: Prognostication is an essential ability to clinicians. Nevertheless, it has been shown to be quite variable in acutely ill patients, potentially leading to inappropriate care. We aimed to assess the accuracy of physician's prediction of hospital mortality in acutely deteriorating patients referred for urgent intensive care unit (ICU) admission. METHODS: Prospective cohort of acutely ill patients referred for urgent ICU admission in an academic, tertiary hospital. Physicians' prognosis assessments were recorded at ICU referral. Prognosis was assessed as survival without severe disabilities, survival with severe disabilities or no survival. Prognosis was further dichotomised in good prognosis (survival without severe disabilities) or poor prognosis (survival with severe disabilities or no survival) for prediction of hospital mortality. RESULTS: There were 2374 analysed referrals, with 2103 (88.6%) patients with complete data on mortality and physicians' prognosis. There were 593 (34.4%), 215 (66.4%) and 51 (94.4%) deaths in the groups ascribed a prognosis of survival without disabilities, survival with severe disabilities or no survival, respectively (p<0.001). Sensitivity was 31%, specificity was 91% and the area under the receiver operating characteristic curve was 0.61 for prediction of mortality. After multivariable analysis, severity of illness, performance status and ICU admission were associated with an increased likelihood of incorrect classification, while worse predicted prognosis was associated with a lower chance of incorrect classification. CONCLUSIONS: Physician's prediction was associated with hospital mortality, but overall accuracy was poor, mainly due to low sensitivity to detect risk of poor prognosis.

A decision-aid tool for ICU admission triage is associated with a reduction in potentially inappropriate intensive care unit admissions.

PURPOSE: Intensive care unit (ICU) admission triage occurs frequently and often involves highly subjective decisions that may lead to potentially inappropriate ICU admissions. In this study, we evaluated the effect of implementing a decision-aid tool for ICU triage on ICU admission decisions. METHODS: This was a prospective, before-after study. Urgent ICU referrals to ten ICUs in a tertiary hospital in Brazil were assessed before and after the implementation of the decision-aid tool. Our primary outcome was the proportion of potentially inappropriate ICU referrals (defined as priority 4B or 5 referrals, accordingly to the Society of Critical Care Medicine guidelines of 1999 and 2016, respectively) admitted to the ICU within 48 h. We conducted multivariate analyses to adjust for potential confounders and evaluated the interaction between phase and triage priority. RESULTS: Of the 2201 patients analyzed, 1184 (53.8%) patients were admitted to the ICU. After adjustment for confounders, implementation of the decision-aid tool was associated with a reduction in potentially inappropriate ICU admissions using either the 1999 [adjOR (95% CI) = 0.36 (0.13-0.97)] or 2016 [adjOR (95%CI) = 0.35 (0.13-0.96)] definitions. CONCLUSION: Implementation of a decision-aid tool for ICU triage was associated with a reduction in potentially inappropriate ICU admissions.

Burden of hospitalisation among older people in the Brazilian public health system: a big data analysis from 2009 to 2015.

BACKGROUND: The world's population is progressively ageing, and this trend imposes several challenges to society and governments. The aim of this study was to investigate the burden generated by the hospitalisation of older (>60 years) compared with non-older population, as well as the epidemiology of these hospital admissions. METHODS: Using the Brazilian Unified Health System (known as 'Sistema Único de Saúde' (SUS)), an analysis of all hospital admissions of adult patients in the SUS from 2009 to 2015 was undertaken. The following indicators were used: hospital admission rate, intensive care unit (ICU) admission rate, average length of hospital and ICU stay, hospital mortality and average reimbursement per hospitalisation. RESULTS: A total of 61 958 959 admissions during the 7-year period, were analysed, encompassing 17 893 392 (28.9%) older patients. Elderly represent 15% (n=21 294 950) of the Brazilian adult population, but are responsible for 29% (n=17 893 392) of hospitalisations, 52% (n=1 731 299) of ICU admissions and 66% (n=1 885 291) of hospital mortality. Among the adults, elderly represents 39% of the total reimbursement made related to admission/hospitalisation. For 2009 to 2015, while the older population increased 27%, ICU admission rate increased 20%; the average length of ICU stay was 12% higher in 2015 (6.5 days) compared with 2009 (5.8 days); and the hospital mortality increased from 9.8% to 11.2%. CONCLUSION: These findings illustrate the current panorama of the burden due to hospitalisation of older people in the Brazilian public health system, and evidence the consolidation of the epidemiological transition toward the predominance of non-communicable diseases as the main cause of hospitalisation among the elderly in Brazil.

Acute stress in residents playing different roles during emergency simulations: a preliminary study.

OBJECTIVES: To investigate acute stress response in residents playing nurse and physician roles during emergency simulations. METHODS: Sixteen second-year internal medicine residents participated in teams of four (two playing physician roles and two playing nurse roles). Stress markers were assessed in 24 simulations at baseline (T1) and immediately after the scenario (T2), using heart rate, systolic and diastolic blood pressure, salivary α-amylase, salivary cortisol and salivary interleukin-1ß. The State-Trait Anxiety Inventory was applied at T2. Continuous data were summarized for the median (1st-3rd interquartile ranges), and the Mann-Whitney U Test was used to compare the groups. RESULTS: The percent variations of the stress markers in the physician and nurse roles, respectively, were the following: heart rate: 70.5% (46.0-136.5) versus 53.0% (29.5-117.0), U=89.00, p=0.35; systolic blood pressure: 3.0% (0.0-10.0) versus 2.0% (-2.0-9.0), U=59.50, p=0.46; diastolic blood pressure: 5.5% (0.0-13.5) versus 0.0% (0.0-11.5), U=91.50, p=0.27; α-amylase: -5.35% (-62.70-73.90) versus 42.3% (12.4-133.8), U=23.00, p=0.08; cortisol: 35.3% (22.2-83.5) versus 42.3% (12.4-133.8), U=64.00, p=0.08); and interleukin-1ß: 54.4% (21.9-109.3) versus 112.55% (29.7-263.3), U= 24.00, p=0.277. For the physician and nurse roles, respectively, the average heart rate was 101.5 (92.0-104.0) versus 91.0 (83.0-99.5) beats per minute, U=96.50, p=0.160; and the state anxiety inventory score was 44.0 (40.0-50.0) versus 42.0 (37.50-48.0) points, U= 89.50, p=0.319. CONCLUSIONS: Different roles during emergency simulations evoked similar participants' engagement, as indicated by acute stress levels. Role-play strategies can provide high psychological fidelity for simulation-based training, and these results reinforce the potential of role-play methodologies in medical education.

Acute stress in residents during emergency care: a study of personal and situational factors.

Providing care for simulated emergency patients may induce considerable acute stress in physicians. However, the acute stress provoked in a real-life emergency room (ER) is not well known. Our aim was to assess acute stress responses in residents during real emergency care and investigate the related personal and situational factors. A cross-sectional observational study was carried out at an emergency department of a tertiary teaching hospital. All second-year internal medicine residents were invited to voluntarily participate in this study. Acute stress markers were assessed at baseline (T1), before residents started their ER shift, and immediately after an emergency situation (T2), using heart rate, systolic, and diastolic blood pressure, salivary α-amylase activity, salivary interleukin-1 ß, and the State-Trait Anxiety Inventory (STAI-s and STAI-t). Twenty-four residents were assessed during 40 emergency situations. All stress markers presented a statistically significant increase between T1 and T2. IL-1 ß presented the highest percent increase (141.0%, p < .001), followed by AA (99.0%, p = .002), HR (81.0%, p < .001), DBP (8.0%, p < .001), and SBP (3.0%, p < .001). In the multivariable analysis, time of residency had a negative correlation with HR during the emergency (adjusted R-square = .168; F = 8.69; p = .006), SBP response (adjusted R-square = .210; F = 6.19; p = .005) and DBP response (adjusted R-square = .293; F = 9.09; p = .001). Trait anxiety (STAI-t) was positively correlated with STAI-s (adjusted R-square = .326; F = 19.9; p < .001), and number of procedures performed during emergency care had a positive association with HR response (adjusted R-square = .241; F = 5.02; p = .005). In the present study, emergency care provoked substantial acute stress in residents. Resident experience, trait anxiety, and number of emergency procedures were independently associated with acute stress response.

Using the Manchester triage system for refusing nonurgent patients in the emergency department: A 30-day outcome study.

OBJECTIVE: To evaluate the long-term outcomes and satisfaction of nonurgent patients who seek care in the emergency department (ED) and are diverted to primary health services (PHS). METHODS: Data were collected from 264 nonurgent patients diverted from the ED of a tertiary public university hospital in São Paulo, Brazil. The nonurgent patient definition was performed by Manchester triage system version II (MTS-II) associated to medical interview in the triage service. Satisfaction levels were evaluated by telephone interviews. The outcomes were assessed within 30 days after the ED visit. RESULTS: Based on the MTS-II, 56.4 percent of the diverted patients were classified as green, 34.3 percent as blue, and 9.3 percent as white. Only one patient required a hospital admission and no deaths were registered within 30 days after ED diversion. After diversion, the majority of patients searched for PHS (62.7 percent), 14.4 percent sought out other EDs, and 22.9 percent did not seek out any other health services. Regarding patient satisfaction, 61.9 percent evaluated the triage team as fair, good, or very good. CONCLUSIONS: Our study suggests that diverting nonurgent patients from the ED to PHS may be carried out in a hierarchic system like the Brazilian public healthcare system. The MTS-II can be a useful triage system to support physician in the diverting process. In addition, patient satisfaction with the refusing was reasonable. Future studies should be designed to evaluate patient safety outcomes in a larger sample and in different healthcare systems.

Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study.

BACKGROUND: Intensive care unit (ICU) admission triage is performed routinely and is often based solely on clinical judgment, which could mask biases. A computerized algorithm to aid ICU triage decisions was developed to classify patients into the Society of Critical Care Medicine's prioritization system. In this study, we sought to evaluate the reliability and validity of this algorithm. METHODS: Nine senior physicians evaluated forty clinical vignettes based on real patients. The reference standard was defined as the priorities ascribed by two investigators with full access to patients' records. Agreement of algorithm-based priorities with the reference standard and with intuitive priorities provided by the physicians were evaluated. Correlations between algorithm prioritization and physicians' judgment of the appropriateness of ICU admissions in scarcity and nonscarcity settings were also evaluated. Validity was further assessed by retrospectively applying this algorithm to 603 patients with requests for ICU admission for association with clinical outcomes. RESULTS: Agreement between algorithm-based priorities and the reference standard was substantial, with a median κ of 0.72 (interquartile range [IQR] 0.52-0.77). Algorithm-based priorities demonstrated higher interrater reliability (overall κ 0.61, 95% confidence interval [CI] 0.57-0.65; median percentage agreement 0.64, IQR 0.59-0.70) than physicians' intuitive prioritization (overall κ 0.51, 95% CI 0.47-0.55; median percentage agreement 0.49, IQR 0.44-0.56) (p = 0.001). Algorithm-based priorities were also associated with physicians' judgment of appropriateness of ICU admission (priorities 1, 2, 3, and 4 vignettes would be admitted to the last ICU bed in 83.7%, 61.2%, 45.2%, and 16.8% of the scenarios, respectively; p < 0.001) and with actual ICU admission, palliative care consultation, and hospital mortality in the retrospective cohort. CONCLUSIONS: This ICU admission triage algorithm demonstrated good reliability and validity. However, more studies are needed to evaluate a difference in benefit of ICU admission justifying the admission of one priority stratum over the others.

Nível de estresse durante o atendimento às emergências: comparação entre realidade e cenários simulados / Stress levels during emergency care: a comparison between reality and simulated scenarios

Introdução: A simulação médica está se tornando um padrão no treinamento da área da saúde, seja na graduação, pós-graduação ou educação continuada. Embora existam significativos estudos avaliando os efeitos do estresse crônico na saúde física e mental de médicos, poucas são as pesquisas sobre os efeitos do estresse agudo na performance. A relação entre performance e estresse agudo é controversa. O objetivo primário desta pesquisa foi avaliar se cenários simulados podem induzir níveis de estresse equivalentes a emergências reais. Métodos: Vinte e oito residentes de clínica médica participaram de 32 atendimentos de emergência (16 reais e 16 simulados). Eles tiveram o nível de estresse medido no período basal (T1) e imediatamente após os atendimentos (T2). Parâmetros medindo estresse agudo foram: frequência cardíaca (FC), pressão arterial sistólica (PAS) e diastólica (PAD), alfa-amilase salivar (AA), interleucina-1 beta salivar (IL-1beta) e o Inventário de Ansiedade Estado (IDA-E). Resultados: No grupo realidade, todos os parâmetros aumentaram significativamente entre T1 e T2. No grupo simulação, apenas a FC e IL-1beta aumentaram. A comparação entre os grupos (real versus simulação) demonstrou que a resposta de estresse agudo (T2-T1) e o IDA-E (T2) não diferiu entre os grupos. A correlação entre os diferentes parâmetros medindo estresse foi ruim. Discussão/Conclusão: Parâmetros medindo estresse aumentaram entre o T1 e T2 na realidade (FC, SBP, DBP, AA e IL-1beta) e no ambiente simulado (FC e IL-1beta). Resposta de estresse agudo, medida pelos valores T2-T1 e a pontuação no IDA-E não diferiram entre os grupos. Nossos resultados indicam que a simulação em medicina de emergência pode criar um ambiente de alta fidelidade psicológica equivalente à uma sala de emergência real. A simulação médica pode ser usada de maneira efetiva em medicina de emergência, especialmente quando treinamos elementos de fatores humanos, como o estresse.

Introduction: Medical simulation is fast becoming a standard of health care training throughout undergraduate, postgraduate and continuing medical education. Although there has been significant research into the effects of chronic stress on both physical and mental health of physicians, there has been little research into the effects of acute stress on performance. The relation between performance and acute stress is highly controversial. Our aim in this research was to evaluate if simulated scenarios may induce stress levels equivalent to real emergency medical situations. Method: Twenty-eight internal medicine residents participated in 32 emergency situations (16 real-life emergencies and 16 simulated emergencies). They had their stress levels measured in baseline (T1) and immediately post-emergencies (T2). Parameters measuring acute stress were: heart rate (HR), systolic (SBP) and diastolic blood pressure (DBP), salivary alpha amylase (AA), interleukine-1 beta (IL-b) and State Anxiety Inventory (STAI-s). Results: In the real-life group, all parameters increased significantly between T1 and T2. In the simulation group, only HR and IL-1b increased after emergencies. The comparison between groups (real-life versus simulation) demonstrates that acute stress response (T2-T1) and STAI-s (T2) did not differ between both groups. The correlation between the different parameters measuring stress was poor. Discussion/Conclusion: Stress measuring parameters increased between T1 and T2 in real-life situations (HR, SBP, DBP, AA and IL-1b) and in the simulated setting (HR and IL-1b). Acute stress response, measured by T2 - T1 values and STAI-s scale, did not differ between both groups. Our results indicate that emergency medicine simulation may create a high psychological fidelity environment, similarly to what is observed in an actual emergency room. Medical simulation may be effectively used in emergency medicine, especially when training human factor elements.