Building a framework to decolonize global emergency medicine.

Background: Global emergency medicine (GEM) is situated at the intersection of global health and emergency medicine (EM), which is built upon a history of colonial systems and institutions that continue to reinforce inequities between high-income countries (HICs) and low- and middle-income countries (LMICs) today. These power imbalances yield disparities in GEM practice, research, and education. Approach: The Global Emergency Medicine Academy (GEMA) of the Society for Academic Emergency Medicine formed the Decolonizing GEM Working Group in 2020, which now includes over 100 worldwide members. The mission is to address colonial legacies in GEM and catalyze sustainable changes and recommendations toward decolonization at individual and institutional levels. To develop recommendations to decolonize GEM, the group conducted a nonsystematic review of existing literature on decolonizing global health, followed by in-depth discussions between academics from LMICs and HICs to explore implications and challenges specific to GEM. We then synthesized actionable solutions to provide recommendations on decolonizing GEM. Results: Despite the rapidly expanding body of literature on decolonizing global health, there is little guidance specific to the relatively new field of GEM. By applying decolonizing principles to GEM, we suggest key priorities for improving equity in academic GEM: (1) reframing partnerships to place LMIC academics in positions of expertise and power, (2) redirecting research funding toward LMIC-driven projects and investigators, (3) creating more equitable practices in establishing authorship, and (4) upholding principles of decolonization in the education of EM trainees from LMICs and HICs. Conclusions: Understanding the colonial roots of GEM will allow us to look more critically at current health disparities and identify inequitable institutionalized practices within our profession that continue to uphold these misguided concepts. A decolonized future of GEM depends on our recognition and rectification of colonial-era practices that shape structural determinants of health care delivery and scientific advancement.

Perceptions toward Ebola vaccination and correlates of vaccine uptake among high-risk community members in North Kivu, Democratic Republic of the Congo.

The tenth Ebola Virus Disease (EVD) outbreak (2018-2020, North Kivu, Ituri, South Kivu) in the Democratic Republic of the Congo (DRC) was the second-largest EVD outbreak in history. During this outbreak, Ebola vaccination was an integral part of the EVD response. We evaluated community perceptions toward Ebola vaccination and identified correlates of Ebola vaccine uptake among high-risk community members in North Kivu, DRC. In March 2021, a cross-sectional survey among adults was implemented in three health zones. We employed a sampling approach mimicking ring vaccination, targeting EVD survivors, their household members, and their neighbors. Outbreak experiences and perceptions toward the Ebola vaccine were assessed, and modified Poisson regression was used to identify correlates of Ebola vaccine uptake among those offered vaccination. Among the 631 individuals surveyed, most (90.2%) reported a high perceived risk of EVD and 71.6% believed that the vaccine could reduce EVD severity; however, 63.7% believed the vaccine had serious side effects. Among the 474 individuals who had been offered vaccination, 397 (83.8%) received the vaccine, 180 (45.3%) of those vaccinated received the vaccine after two or more offers. Correlates positively associated with vaccine uptake included having heard positive information about the vaccine (RR 1.30, 95% CI 1.06-1.60), the belief that the vaccine could prevent EVD (RR 1.23, 95% CI 1.09-1.39), and reporting that religion influenced all decisions (RR 1.13, 95% CI 1.02-1.25). Ebola vaccine uptake was high in this population, although mixed attitudes and vaccine delays were common. Communicating positive vaccine information, emphasizing the efficacy of the Ebola vaccine, and engaging religious leaders to promote vaccination may aid in increasing Ebola vaccine uptake during future outbreaks.

Derivation and External Validation of a Clinical Prediction Model for Viral Diarrhea Etiology in Bangladesh.

Background: Antibiotics are commonly overused for diarrheal illness in many low- and middle-income countries, partly due to a lack of diagnostics to identify viral cases, in which antibiotics are not beneficial. This study aimed to develop clinical prediction models to predict risk of viral-only diarrhea across all ages, using routinely collected demographic and clinical variables. Methods: We used a derivation dataset from 10 hospitals across Bangladesh and a separate validation dataset from the icddr,b Dhaka Hospital. The primary outcome was viral-only etiology determined by stool quantitative polymerase chain reaction. Multivariable logistic regression models were fit and externally validated; discrimination was quantified using area under the receiver operating characteristic curve (AUC) and calibration assessed using calibration plots. Results: Viral-only diarrhea was common in all age groups (<1 year, 41.4%; 18-55 years, 17.7%). A forward stepwise model had AUC of 0.82 (95% confidence interval [CI], .80-.84) while a simplified model with age, abdominal pain, and bloody stool had AUC of 0.81 (95% CI, .78-.82). In external validation, the models performed adequately although less robustly (AUC, 0.72 [95% CI, .70-.74]). Conclusions: Prediction models consisting of 3 routinely collected variables can accurately predict viral-only diarrhea in patients of all ages in Bangladesh and may help support efforts to reduce inappropriate antibiotic use.

Emergency care interventions for paediatric severe acute respiratory infections in low- and middle-income countries: A systematic review and narrative synthesis.

Background: Severe acute respiratory infections (SARIs) are the leading cause of paediatric death globally, particularly in low- and middle-income countries (LMICs). Given the potential rapid clinical decompensation and high mortality rate from SARIs, interventions that facilitate the early care are critical to improving patient outcomes. Through this systematic review, we aimed to evaluate the impact of emergency care interventions on improving clinical outcomes of paediatric patients with SARIs in LMICs. Methods: We searched PubMed, Global Health, and Global Index Medicus for peer-reviewed clinical trials or studies with comparator groups published before November 2020. We included all studies which evaluated acute and emergency care interventions on clinical outcomes for children (29 days to 19 years) with SARIs conducted in LMICs. Due to observed heterogeneity of interventions and outcomes, we performed narrative synthesis. We assessed bias using the Risk of Bias 2 and Risk of Bias in Non-Randomized Studies of Interventions tools. Results: We screened 20 583, 99 of which met the inclusion criteria. Conditions studied included pneumonia or acute lower respiratory infection (61.6%) and bronchiolitis (29.3%). Studies evaluated medications (80.8%), respiratory support (14.1%), and supportive care (5%). We found the strongest evidence of benefit for decreasing risk of death for respiratory support interventions. Results were inconclusive on the utility of continuous positive airway pressure (CPAP). We found mixed results for interventions for bronchiolitis, but a possible benefit for hypertonic nebulised saline to decrease hospital length of stay. Early use of adjuvant treatments such as Vitamin A, D, and zinc for pneumonia and bronchiolitis did not appear to have convincing evidence of benefit on clinical outcomes. Conclusions: Despite the high global burden of SARI in paediatric populations, few emergency care (EC) interventions have high quality evidence for benefit on clinical outcomes in LMICs. Respiratory support interventions have the strongest evidence for benefit. Further research on the use of CPAP in diverse settings is needed, as is a stronger evidence base for EC interventions for children with SARI, including metrics on the timing of interventions. Registration: PROSPERO (CRD42020216117).

COVID-19 Vaccine Perceptions among Ebola-Affected Communities in North Kivu, Democratic Republic of the Congo, 2021.

Populations affected by humanitarian crises and emerging infectious disease outbreaks may have unique concerns and experiences that influence their perceptions toward vaccines. In March 2021, we conducted a survey to examine the perceptions toward COVID-19 vaccines and identify the factors associated with vaccine intention among 631 community members (CMs) and 438 healthcare workers (HCWs) affected by the 2018-2020 Ebola Virus Disease outbreak in North Kivu, Democratic Republic of the Congo. A multivariable logistic regression was used to identify correlates of vaccine intention. Most HCWs (81.7%) and 53.6% of CMs felt at risk of contracting COVID-19; however, vaccine intention was low (27.6% CMs; 39.7% HCWs). In both groups, the perceived risk of contracting COVID-19, general vaccine confidence, and male sex were associated with the intention to get vaccinated, with security concerns preventing vaccine access being negatively associated. Among CMs, getting the Ebola vaccine was associated with the intention to get vaccinated (RR 1.43, 95% CI 1.05-1.94). Among HCWs, concerns about new vaccines' safety and side effects (OR 0.72, 95% CI 0.57-0.91), religion's influence on health decisions (OR 0.45, 95% CI 0.34-0.61), security concerns (OR 0.52, 95% CI 0.37-0.74), and governmental distrust (OR 0.50, 95% CI 0.35-0.70) were negatively associated with vaccine perceptions. Enhanced community engagement and communication that address this population's concerns could help improve vaccine perceptions and vaccination decisions. These findings could facilitate the success of vaccine campaigns in North Kivu and similar settings.

A systematic review of acute and emergency care interventions for adolescents and adults with severe acute respiratory infections including COVID-19 in low- and middle-income countries.

Background: Severe acute respiratory infections (SARIs) remain a leading cause of death globally, particularly in low- and middle-income countries (LMICs). Early intervention is critical, considering the potential for rapid decompensation in patients with SARIs. We aimed to evaluate the impact of acute and emergency care interventions on improving clinical outcomes in patients >10 years old with SARIs in LMICs. Methods: A systematic literature search was performed in PubMed, Global Health, and Global Index Medicus databases to identify peer-reviewed studies containing SARI, LMICs, and emergency care interventions. Studies published prior to November 2020 focusing on patients >10 years old were included. A narrative synthesis was performed due to the heterogeneity of identified articles. Risk of bias was assessed using the Risk of Bias 2 and Risk of Bias In Non-Randomized Studies of Interventions tools. Results: 20 223 studies were screened and 58 met the inclusion criteria. Thirty-four studies focused on coronavirus-2019 (COVID-19), 15 on pneumonia, seven on influenza, one study on severe acute respiratory syndrome, and one on undifferentiated SARI. Few COVID-19 studies found a benefit of the tested intervention on clinical status, mortality, or hospital length-of-stay. Little to no benefit was found for azithromycin, convalescent plasma, or zinc, and potential harm was found for hydroxychloroquine/chloroquine. There was mixed evidence for immunomodulators, traditional Chinese medicine, and corticosteroids among COVID-19 studies, with notable confounding due to a lack of consistency of control group treatments. Neuraminidase inhibitor antivirals for influenza had the highest quality of evidence for shortening symptom duration and decreasing disease severity. Conclusions: We found few interventions for SARIs in LMICs with have high-quality evidence for improving clinical outcomes. None of the included studies evaluated non-pharmacologic interventions or were conducted in low-income countries. Further studies evaluating the impact of antivirals, immunomodulators, corticosteroids, and non-pharmacologic interventions for SARIs in LMICs are urgently needed. Registration: PROSPERO registration number: CRD42020216117.

Authorship representation in global emergency medicine: a bibliometric analysis from 2016 to 2020.

INTRODUCTION: High-income country (HIC) authors are disproportionately represented in authorship bylines compared with those affiliated with low and middle-income countries (LMICs) in global health research. An assessment of authorship representation in the global emergency medicine (GEM) literature is lacking but may inform equitable academic collaborations in this relatively new field. METHODS: We conducted a bibliometric analysis of original research articles reporting studies conducted in LMICs from the annual GEM Literature Review from 2016 to 2020. Data extracted included study topic, journal, study country(s) and region, country income classification, author order, country(s) of authors' affiliations and funding sources. We compared the proportion of authors affiliated with each income bracket using Χ2 analysis. We conducted logistic regression to identify factors associated with first or last authorship affiliated with the study country. RESULTS: There were 14 113 authors in 1751 articles. Nearly half (45.5%) of the articles reported work conducted in lower middle-income countries (MICs), 23.6% in upper MICs, 22.5% in low-income countries (LICs). Authors affiliated with HICs were most represented (40.7%); 26.4% were affiliated with lower MICs, 17.4% with upper MICs, 10.3% with LICs and 5.1% with mixed affiliations. Among single-country studies, those without any local authors (8.7%) were most common among those conducted in LICs (14.4%). Only 31.0% of first authors and 21.3% of last authors were affiliated with LIC study countries. Studies in upper MICs (adjusted OR (aOR) 3.6, 95% CI 2.46 to 5.26) and those funded by the study country (aOR 2.94, 95% CI 2.05 to 4.20) had greater odds of having a local first author. CONCLUSIONS: There were significant disparities in authorship representation. Authors affiliated with HICs more commonly occupied the most prominent authorship positions. Recognising and addressing power imbalances in international, collaborative emergency medicine (EM) research is warranted. Innovative methods are needed to increase funding opportunities and other support for EM researchers in LMICs, particularly in LICs.

External validation of a mobile clinical decision support system for diarrhea etiology prediction in children: A multicenter study in Bangladesh and Mali.

Background: Diarrheal illness is a leading cause of antibiotic use for children in low- and middle-income countries. Determination of diarrhea etiology at the point-of-care without reliance on laboratory testing has the potential to reduce inappropriate antibiotic use. Methods: This prospective observational study aimed to develop and externally validate the accuracy of a mobile software application ('App') for the prediction of viral-only etiology of acute diarrhea in children 0-59 months in Bangladesh and Mali. The App used a previously derived and internally validated model consisting of patient-specific ('present patient') clinical variables (age, blood in stool, vomiting, breastfeeding status, and mid-upper arm circumference) as well as location-specific viral diarrhea seasonality curves. The performance of additional models using the 'present patient' data combined with other external data sources including location-specific climate, data, recent patient data, and historical population-based prevalence were also evaluated in secondary analysis. Diarrhea etiology was determined with TaqMan Array Card using episode-specific attributable fraction (AFe) >0.5. Results: Of 302 children with acute diarrhea enrolled, 199 had etiologies above the AFe threshold. Viral-only pathogens were detected in 22% of patients in Mali and 63% in Bangladesh. Rotavirus was the most common pathogen detected (16% Mali; 60% Bangladesh). The present patient+ viral seasonality model had an AUC of 0.754 (0.665-0.843) for the sites combined, with calibration-in-the-large α = -0.393 (-0.455--0.331) and calibration slope ß = 1.287 (1.207-1.367). By site, the present patient+ recent patient model performed best in Mali with an AUC of 0.783 (0.705-0.86); the present patient+ viral seasonality model performed best in Bangladesh with AUC 0.710 (0.595-0.825). Conclusions: The App accurately identified children with high likelihood of viral-only diarrhea etiology. Further studies to evaluate the App's potential use in diagnostic and antimicrobial stewardship are underway. Funding: Funding for this study was provided through grants from the Bill and Melinda GatesFoundation (OPP1198876) and the National Institute of Allergy and Infectious Diseases (R01AI135114). Several investigators were also partially supported by a grant from the National Institute of Diabetes and Digestive and Kidney Diseases (R01DK116163). This investigation was also supported by the University of Utah Population Health Research (PHR) Foundation, with funding in part from the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR002538. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funders had no role in the study design, data collection, data analysis, interpretation of data, or in the writing or decision to submit the manuscript for publication.

Diarrhea is one of the most common illnesses among children worldwide. In low- and middle-income countries with limited health care resources, it can be deadly. Diarrhea can be caused by infections with viruses or bacteria. Antibiotics can treat bacterial infections, but they are not effective against viral infections. It can often be difficult to determine the cause of diarrhea. As a result, many clinicians just prescribe antibiotics. However, since diarrhea in young children is often due to viral infections, prescribing unnecessary antibiotics can cause children to have side effects without any benefit. Excessive use of antibiotics also contributes to the development of bacteria that are resistant to antibiotics, making infections harder to treat. Scientists are working to develop mobile health tools or 'apps' that may help clinicians identify the cause of diarrhea. Using computer algorithms to analyze information about the patient and seasonal infection patterns, the apps predict whether a bacterial or viral infection is the likely culprit. These tools may be particularly useful in low- or middle-income country settings, where clinicians have limited access to testing for bacteria or viruses. Garbern, Nelson et al. previously built an app to help distinguish cases of viral diarrhea in children in Mali and Bangladesh. Now, the researchers have put their app to the test in the real-world in a new group of patients to verify it works. In the experiments, nurses in Mali and Bangladesh used the app to predict whether a child with diarrhea had a viral or non-viral infection. The children's stool was then tested for viral or bacterial DNA to confirm whether the prediction was correct. The experiments showed the app accurately identified viral cases of diarrhea. The experiments also showed that customizing the app to local conditions may further improve its accuracy. For example, a version of the app that factored in seasonal virus transmission performed the best in Bangladesh, while a version that factored in data from recent patients in the past few weeks performed the best in Mali. Garbern and Nelson et al. are now testing whether their app could help reduce unnecessary use of antibiotics in children with diarrhea. If it does, it may help minimize antibiotic resistance and ensure more children get appropriate diarrhea care.

Seasonal influence of tuberculosis diagnosis in Rwanda.

BACKGROUND: Tuberculosis (TB) remains a major global health concern. Previous research reveals that TB may have a seasonal peak during the spring and summer seasons in temperate climates; however, few studies have been conducted in tropical climates. This study evaluates the influence of seasonality on laboratory-confirmed TB diagnosis in Rwanda, a tropical country with two rainy and two dry seasons. METHODS: A retrospective chart review was performed at the University Teaching Hospital-Kigali (CHUK). From January 2016 to December 2017, 2717 CHUK patients with TB laboratory data were included. Data abstracted included patient demographics, season, HIV status, and TB laboratory results (microscopy, GeneXpert, culture). Univariate and multivariable logistic regression (adjusted for age, gender, and HIV status) analyses were performed to assess the association between season and laboratory-confirmed TB diagnoses. RESULTS: Patients presenting during rainy season periods had a lower odds of laboratory-confirmed TB diagnosis compared to the dry season (aOR=0.78, 95% CI 0.63-0.97, p=0.026) when controlling for age group, gender, and HIV status. Males, adults, and people living with HIV were more likely to have laboratory-confirmed TB diagnosis. On average, more people were tested for TB during the rainy season per month compared to the dry season (120.3 vs. 103.3), although this difference was not statistically significant. CONCLUSION: In Rwanda, laboratory-confirmed TB case detection shows a seasonal variation with patients having higher odds of TB diagnosis occurring in the dry season. Further research is required to further elucidate this relationship and to delineate the mechanism of season influence on TB diagnosis.

Establishing the Effectiveness of Interventions Provided to First Responders to Prevent and/or Treat Mental Health Effects of Response to a Disaster: A Systematic Review.

OBJECTIVES: This review systematically explores the current available evidence on the effectiveness of interventions provided to first responders to prevent and/or treat the mental health effects of responding to a disaster. METHODS: A systematic review of Medline, Scopus, PsycINFO, and gray literature was conducted. Studies describing the effectiveness of interventions provided to first responders to prevent and/or treat the mental health effects of responding to a disaster were included. Quality was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria, and the Critical Appraisal Skills Programme (CASP) checklist. RESULTS: Manuscripts totaling 3869 met the initial search criteria; 25 studies met the criteria for in-depth analysis, including 22 quantitative and 3 qualitative studies; 6 were performed in low- and middle-income countries (LMICs); 18 studies evaluated a psychological intervention; of these, 13 found positive impact, 4 found no impact, and 1 demonstrated worsened symptoms after the intervention. Pre-event trainings decreased psychiatric symptoms in each of the 3 studies evaluating its effectiveness. CONCLUSIONS: This review demonstrates that there are likely effective interventions to both prevent and treat psychiatric symptoms in first responders in high-, medium-, and low-income countries.

Ultrasound Adds No Benefit to Clinical Exam for Predicting Dehydration in Children With Acute Diarrhea in a Resource-Limited Setting.

OBJECTIVES: Diarrhea is one of the most common and deadly conditions affecting children, causing over 525,000 deaths annually, largely in resource-limited settings. Appropriate treatment depends on accurate determination of dehydration status. This study evaluated the accuracy of a new model using clinical and ultrasound measurements for predicting dehydration status in children with acute diarrhea. METHODS: The Dehydration: Assessing Kids Accurately (DHAKA) study was a prospective cohort study of children under 5 years of age with acute diarrhea presenting to the International Centre for Diarrhoeal Disease Research in Dhaka, Bangladesh. Clinical signs and sonographic measurements of the aorta-to-inferior vena cava ratio were recorded. Percent weight change with rehydration was used to classify dehydration severity. Logistic regression was used to create a combined DHAKA-US model based on clinical and sonographic measurements. Area under the curve and calibration slope were used to assess the model's accuracy and compare it to the original DHAKA score model. RESULTS: A total of 850 children were enrolled, with 736 included in the final analysis. The combined DHAKA-US model showed equivalent discrimination with the original DHAKA score, with an area under the curve of 0.79 for both models for severe dehydration (95% confidence interval, 0.74-0.84), as well as similar classification (48% versus 50% correctly classified) and calibration (calibration slopes of 0.900 versus 0.904 for presence of any dehydration). CONCLUSION: Adding sonographic measurements to the DHAKA score had no effect on discrimination, classification, or calibration when compared to the original DHAKA score. Clinical signs alone may be the most important predictors of dehydration status in children with diarrhea in limited resource settings.