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Introduction: While trends in analgesia have been identified in high-income countries, little research exists regarding analgesia administration in low- and middle-income countries (LMIC). This study evaluates analgesia administration and clinical characteristics among patients seeking emergency injury care at University Teaching Hospital-Kigali in Kigali, Rwanda. Methods: This retrospective, cross-sectional study utilized a random sample of emergency center (EC) cases accrued between July 2015 and June 2016. Data was extracted from the medical record for patients who had an injury and were ≥ 15 years of age. Injury-related EC visits were identified by presenting complaint or final discharge diagnosis. Sociodemographic information, injury mechanism and type, and analgesic medications ordered and administered were analyzed. Results: Of the 3,609 random cases, 1,329 met eligibility and were analyzed. The study population was predominantly male (72%) with a median age of 32 years and range between 15 and 81 years. In the studied sample, 728 (54.8%) were treated with analgesia in the EC. In unadjusted logistic regression, only age was not a significant predictor of receiving pain medication and was excluded from the adjusted analysis. In the adjusted model, all predictors remained significant, with being male, having at least one severe injury, and road traffic accident (RTA) as injury mechanism being significant predictors of analgesia administration. Conclusion: In the study setting of injured patients in Rwanda, being male, involved in RTA or having more than one serious injury was associated with higher odds of receiving pain medication. Approximately half of the patients with traumatic injuries received pain medications, predominantly opioids with no factors predicting whether a patient would receive opioids versus other medications. Further research on implementation of pain guidelines and drug shortages is warranted to improve pain management for injured patients in the LMIC setting.

One of the tenets of global emergency medicine (GEM) is to create equitable relationships between high-resource and resource-denied countries to promote emergency care for all. Health interventions proposed by those working in GEM too often lack input from local and indigenous communities result in “voluntourism,” research authorship inequity, under-representation and under-valuation of technical expertise and lived experience of leaders from resource-denied countries. We present a decolonization toolkit with specific recommendations that target and disrupt counter-productive power dynamics in GEM education. We held a workshop at the 2022 Society for Academic Emergency Medicine Annual Meeting to collectively develop strategies to address inequalities and increase diversity in GEM education. GEM practitioners were divided into small groups representing five thematic areas and asked to identify specific action items to address inequities related to their theme. Following the workshop, a group of authors reviewed small group responses and data was divided into themed qualitative matrices and recommendations were revised based on targeted literature review. Five thematic areas discussed included access, awareness and cultural humility, language, representation, and recognition. Specific recommendations and action items were created to address inequities related to these themes which can be applied by individuals and institutions in both HICs and LMICs. Despite being a relatively new academic discipline, GEM has replicated colonial structures that are prevalent in global health. However, using targeted recommendations described in our toolkit, individuals, and institutions can build a new framework for GEM that actively combats structural vulnerabilities and academic inequities.

Background: Resource limited settings have an ongoing need for access to quality emergency care. The World Health Organization – International Committee of the Red Cross Basic Emergency Care (BEC) course is one mechanism to address this need. Training of BEC trainers has been challenging due to barriers including cost, travel logistics, scheduling, and more recently, social distancing regulations related to the coronavirus pandemic. Objective: We seek to determine if an online virtual format is an effective way to train additional trainers while overcoming these barriers. Methods: The BEC Training-of-Trainers (ToT) course was adapted to a virtual format and delivered entirely online. Participants were assessed with a multiple choice pre- and post-test and completed a course feedback form upon completion. Results from the virtual course were then compared to the results from an in-person ToT course. Findings: The in-person course pre- and post-tests were completed by 121 participants with a pre-test mean of 87% (range 60–100%) and a post-test mean of 95% (range: 75–100; p < 0.05). Virtual course pre- and post-tests by 27 participants were analyzed with a pre-test mean of 89% (range 75–100%) and a post-test mean of 96% (range: 79–100; p < 0.05). No difference in test improvements between the courses was detected (z = –0.485; p = 0.627). The course feedback was completed by 93 in-person participants and 28 virtual participants. Feedback survey responses were similar for all questions except for course length, with in-person participant responses trending towards the course being too long. Conclusions: A virtual format BEC ToT course is effective, feasible, and acceptable. When compared to an in-person course, no difference was detected in nearly all metrics for the virtual format. Utilizing this format for future courses can assist in scaling both the BEC ToT and, by extension, the BEC course globally, particularly in regions facing barriers to in-person training.

Abstract Background Emergency care is a new but growing specialty across Africa where medical conditions have been estimated to account for 92% of all disability-adjusted life years. This study describes the epidemiology of medical emergencies and the impact of formalized emergency care training on patient outcomes for medical conditions in Rwanda. Methods A retrospective cohort study was performed using a database of randomly sampled patients presenting to the emergency center (EC) at the University Teaching Hospital of Kigali. All patients, > 15 years of age treated for medical emergencies pre- and post-implementation of an Emergency Medicine (EM) residency training program were eligible for inclusion. Patient characteristics and final diagnosis were described by time period (January 2013–September 2013 versus September 2015–June 2016). Univariate chi-squared analysis was performed for diagnoses, EC interventions, and all cause EC and inpatient mortality stratified by time period. Results A random sample of 1704 met inclusion with 929 patients in the pre-residency time period and 775 patients in the post-implementation period. Demographics, triage vital signs, and shock index were not different between time periods. Most frequent diagnoses included gastrointestinal, infectious disease, and neurologic pathology. Differences by time period in EC management included antibiotic use (37.2% vs. 42.2%, p = 0.04), vasopressor use (1.9% vs. 0.5%, p = 0.01), IV crystalloid fluid (IVF) use (55.5% vs. 47.6%, p = 0.001) and mean IVF administration (2057 ml vs. 2526 ml, p < 0.001). EC specific mortality fell from 10.0 to 1.4% (p < 0.0001) across time periods. Conclusions Mortality rates fell across top medical diagnoses after implementation of an EM residency program. Changes in resuscitation care may explain, in part, this mortality decrease. This study demonstrates that committing to emergency care can potentially have large effects on reducing mortality.

Background: Triage is essential for efficient and effective delivery of care in emergency centers (ECs) where numerous patients present simultaneously with varying acuity of conditions. Implementing EC triage systems provides a method of recognizing which patients may require admission and are at higher risks for poor health outcomes. Rwanda is experiencing increased demand for emergency care; however, triage has not been well-studied. The University Teaching Hospital of Kigali (UTH-K) is an urban tertiary care health center utilizing a locally modified South African Triage Score (mSATS) that classifies patients into five color categories. Our study evaluated the utility of the mSATS tool at UTH-K. Methods: UTH-K implemented mSATS in April 2013. All patients aged 15 years or older from August 2015 to July 2016 were eligible for inclusion in the database. Variables of interest included demographic information, mSATS category, patient case type (trauma or medical), disposition from the ED and mortality. Results: 1438 cases were randomly sampled; the majority were male (61.9%) and median age was 35 years. Injuries accounted for 56.7% of the cases while medical conditions affected 43.3%. Admission likelihood significantly increased with higher triage color category for medical patients (OR: Yellow = 3.61, p

Introduction: Traumatic injuries disproportionately affect populations in low and middle-income countries (LMIC) where head injuries predominate. The Rwandan Ministry of Health (MOH) has dramatically improved access to emergency services by rebuilding its health infrastructure. The MOH has strengthened the nation’s acute emergency response by renovating emergency departments (ED), developing the field of emergency medicine as a specialty, and establishing a prehospital care service: Service d’Aide Medicale Urgente (SAMU). Despite the prevalence of traumatic injury in LMIC and the evolving emergency service in Rwanda, data regarding head trauma epidemiology is lacking. Methods: We conducted this retrospective cohort study at the University Teaching Hospital of Kigali (UTH-K) and used a linked prehospital database to investigate the demographics, mechanism, and degree of acute medical interventions amongst prehospital patients with head injury. Results: Of the 2,426 patients transported by SAMU during the study period, 1,669 were found to have traumatic injuries. Data from 945 prehospital patients were accrued, with 534 (56.5%) of these patients diagnosed with a head injury. The median age was 30 years, with most patients being male (80.3%). Motor vehicle collisions accounted for almost 78% of all head injuries. One in six head injuries were due to a pedestrian struck by a vehicle. Emergency department interventions included intubations (6.7%), intravenous fluids (2.4%), and oxygen administration (4.9%). Alcohol use was not evaluated or could not be confirmed in 81.3% of head injury cases. The median length of stay (LOS) in the ED was two days (interquartile range: 1,3). A total of 184 patients were admitted, with 13% requiring craniotomies; their median in-hospital care duration was 13 days. Conclusion: In this cohort of Rwandan trauma patients, head injury was most prevalent amongst males and pedestrians. Alcohol use was not evaluated in the majority of patients. These traumatic patterns were predominantly due to road traffic injury, suggesting that interventions addressing the prevention of this mechanism, and treatment of head injury, may be beneficial in the Rwandan setting.

Introduction: Although emergency medicine (EM) training programmes have begun to be introduced in low- and middle-income countries (LMICs), minimal data exist on their effects on patient-centered outcomes in such settings. This study evaluated the impact of EM training and associated systems implementation on mortality among patients treated at the University Teaching Hospital-Kigali (UTH-K). Methods: At UTH-K an EM post-graduate diploma programme was initiated in October 2013, followed by a residency-training programme in August 2015. Prior to October 2013, care was provided exclusively by general practice physicians (GPs); subsequently, care has been provided through mutually exclusive shifts allocated between GPs and EM trainees. Patients seeking Emergency Centre (EC) care during November 2012–October 2013 (pre-training) and August 2015–July 2016 (post-training) were eligible for inclusion. Data were abstracted from a random sample of records using a structured protocol. The primary outcomes were EC and overall hospital mortality. Mortality prevalence and risk differences (RD) were compared pre- and post-training. Magnitudes of effects were quantified using regression models to yield adjusted odds ratios (aOR) with 95% confidence intervals (CI). Results: From 43,213 encounters, 3609 cases were assessed. The median age was 32 years with a male predominance (60.7%). Pre-training EC mortality was 6.3% (95% CI 5.3–7.5%), while post-training EC mortality was 1.2% (95% CI 0.7–1.8%), constituting a significant decrease in adjusted analysis (aOR = 0.07, 95% CI 0.03–0.17; p

Introduction: Rwanda has made significant advancements in medical and economic development over the last 20 years and has emerged as a leader in healthcare in the East African region. The COVID-19 pandemic, which reached Rwanda in March 2020, presented new and unique challenges for infectious disease control. The objective of this paper is to characterize Rwanda’s domestic response to the first year of the COVID-19 pandemic and highlight effective strategies so that other countries, including high and middle-income countries, can learn from its innovative initiatives. Methods: Government publications describing Rwanda’s healthcare capacity were first consulted to obtain the country’s baseline context. Next, official government and healthcare system communications, including case counts, prevention and screening protocols, treatment facility practices, and behavioral guidelines for the public, were read thoroughly to understand the course of the pandemic in Rwanda and the specific measures in the response. Results: As of 31 December 2020, Rwanda has recorded 8,383 cumulative COVID-19 cases, 6,542 recoveries, and 92 deaths since the first case on 14 March 2020. The Ministry of Health, Rwanda Biomedical Centre, and the Epidemic and Surveillance Response division have collaborated on preparative measures since the pandemic began in January 2020. The formation of a Joint Task Force in early March led to the Coronavirus National Preparedness and Response Plan, an extensive six-month plan that established a national incident management system and detailed four phases of a comprehensive national response. Notable strategies have included disseminating public information through drones, robots for screening and inpatient care, and official communications through social media platforms to combat misinformation and mobilize a cohesive response from the population. Conclusion: Rwanda’s government and healthcare system has responded to the COVID-19 pandemic with innovative interventions to prevent and contain the virus. Importantly, the response has utilized adaptive and innovative technology and robust risk communication and community engagement to deliver an effective response to the COVID-19 pandemic.

Introduction: While trauma prognostication and triage scores have been designed for use in lower-resourced healthcare settings specifically, the comparative clinical performance between trauma-specific and general triage scores for risk-stratifying injured patients in such settings is not well understood. This study evaluated the Kampala Trauma Score (KTS), Revised Trauma Score (RTS), and Triage Early Warning Score (TEWS) for accuracy in predicting mortality among injured patients seeking emergency department (ED) care at the Centre Hospitalier Universitaire de Kigali (CHUK) in Rwanda. Methods: A retrospective, randomly sampled cohort of ED patients presenting with injury was accrued from August 2015–July 2016. Primary outcome was 14-day mortality and secondary outcome was overall facility-based mortality. We evaluated summary statistics of the cohort. Bootstrap regression models were used to compare areas under receiver operating curves (AUC) with associated 95% confidence intervals (CI). Results: Among 617 cases, the median age was 32 years and 73.5% were male. The most frequent mechanism of injury was road traffic incident (56.2%). Predominant anatomical regions of injury were craniofacial (39.3%) and lower extremities (38.7%), and the most common injury types were fracture (46.0%) and contusion (12.0%). Fourteen-day mortality was 2.6% and overall facility-based mortality was 3.4%. For 14-day mortality, TEWS had the highest accuracy (AUC = 0.88, 95% CI, 0.76–1.00), followed by RTS (AUC = 0.73, 95% CI, 0.55–0.92), and then KTS (AUC = 0.65, 95% CI, 0.47–0.84). Similarly, for facility-based mortality, TEWS (AUC = 0.89, 95% CI, 0.79–0.98) had greater accuracy than RTS (AUC = 0.76, 95% CI, 0.61–0.91) and KTS (AUC = 0.68, 95% CI, 0.53–0.83). On pairwise comparisons, RTS had greater prognostic accuracy than KTS for 14-day mortality (P = 0.011) and TEWS had greater accuracy than KTS for overall (P = 0.007) mortality. However, TEWS and RTS accuracy were not significantly different for 14-day mortality (P = 0.864) or facility-based mortality (P = 0.101). Conclusion: In this cohort of emergently injured patients in Rwanda, the TEWS demonstrated the greatest accuracy for predicting mortality outcomes, with no significant discriminatory benefit found in the use of the trauma-specific RTS or KTS instruments, suggesting that the TEWS is the most clinically useful approach in the setting studied and likely in other similar ED environments.

Introduction: Musculoskeletal injuries (MSI) comprise a large portion of the trauma burden in low- and middle-income countries (LMIC). Rwanda recently launched its first emergency medicine training program (EMTP) at the University Teaching Hospital-Kigali (UTH-K), which may help to treat such injuries; yet no current epidemiological data is available on MSI in Rwanda. Methods: We conducted this pre-post study during two data collection periods at the UTH-K from November 2012 to July 2016. Data collection for MSI is limited and thus is specific to fractures. We included all patients with open, closed, or mixed fractures, hereafter referred to as MSI. Gathered information included demographics and outcomes including death, traumatic complications, and length of hospital stay, before and after the implementation of the EMTP. Results: We collected data from 3609 patients. Of those records, 691 patients were treated for fractures, and 674 of them had sufficient EMTP data measured for inclusion in the analysis of results (279 from pre-EMTP and 375 from post-EMTP). Patient demographics demonstrate that a majority of MSI cases are male (71.6% male vs 28.4% female) and young (64.3% below 35 years of age). Among mechanisms of injury, major causes included road traffic accidents (48.1%), falls (34.2%), and assault (6.0%). There was also an observed association between EMTP and trends of the three primary outcomes: a reduction of death in the emergency department (ED) from those with MSI by 89.9%, from 2.51% to 0.25% (p = 0.0077); a reduction in traumatic complications for MSI patients by 71.7%, from 3.58% to 1.01% (p = 0.0211); and a reduction in duration of stay in the ED among those with MSI by 52.7% or 2.81 days on average, from 5.33 to 2.52 days (p = 0.0437). Conclusion: This study reveals the current epidemiology of MSI morbidity and mortality for a major Rwandan teaching hospital and the potential impacts of EM training implementation among those with MSI. Residency training programs such as EMTP appear capable of reducing mortality, complications, and ED length of stay among those with MSI caused by fractures. Such findings underscore the efficacy and importance of investments in educating the next generation of health professionals to combat prevalent MSI within their communities.

Introduction: Injuries account for 10% of the global burden of disease, resulting in approximately 5.8 million deaths annually. Trauma registries are an important tool in the development of a trauma system; however, limited resources in low- and middle-income countries (LMIC) make the development of high-quality trauma registries challenging. We describe the development of a LMIC trauma registry based on a robust retrospective chart review, which included data derived from prehospital, emergency centre and inpatient records. Methods: This paper outlines our methods for identifying and locating patients and their medical records using pragmatic and locally appropriate record linkage techniques. A prehospital database was queried to identify patients transported to University Teaching Hospital – Kigali, Rwanda from December 2012 through February 2015. Demographic information was recorded and used to create a five-factor identification index, which was then used to search OpenClinic GA, an online open source hospital information system. The medical record number and archive number obtained from OpenClinic GA were then used to locate the physical medical record for data extraction. Results: A total of 1668 trauma patients were transported during the study period. 66.7% were successfully linked to their medical record numbers and archive codes. 94% of these patients were successfully linked to their medical record numbers and archive codes were linked by four or five of the five pre-set identifiers. 945 charts were successfully located and extracted for inclusion in the trauma registry. Record linkage and chart extraction took approximately 1256 h. Conclusion: The process of record linkage and chart extraction was a resource-intensive process; however, our unique methodology resulted in a high linkage rate. This study suggests that it is feasible to create a retrospective trauma registry in LMICs using pragmatic and locally appropriate record linkage techniques.

Introduction: Injury accounts for 9.6% of the global mortality burden, disproportionately affecting those living in low- and middle-income countries. In an effort to improve trauma care in Rwanda, the Ministry of Health developed a prehospital service, Service d’Aide Médicale Urgente (SAMU), and established an emergency medicine training program. However, little is known about patients receiving prehospital and emergency trauma care or their outcomes. The objective was to develop a linked prehospital–hospital database to evaluate patient characteristics, mechanisms of injury, prehospital and hospital resource use, and outcomes among injured patients receiving acute care in Kigali, Rwanda. Methods: A retrospective cohort study was conducted at University Teaching Hospital – Kigali, the primary trauma centre in Rwanda. Data was included on all injured patients transported by SAMU from December 2012 to February 2015. SAMU’s prehospital database was linked to hospital records and data were collected using standardised protocols by trained abstractors. Demographic information, injury characteristics, acute care, hospital course and outcomes were included. Results: 1668 patients were transported for traumatic injury during the study period. The majority (77.7%) of patients were male. The median age was 30 years. Motor vehicle collisions accounted for 75.0% of encounters of which 61.4% involved motorcycles. 48.8% of patients sustained injuries in two or more anatomical regions. 40.1% of patients were admitted to the hospital and 78.1% required surgery. The overall mortality rate was 5.5% with nearly half of hospital deaths occurring in the emergency centre. Conclusion: A linked prehospital and hospital database provided critical epidemiological information describing trauma patients in a low-resource setting. Blunt trauma from motor vehicle collisions involving young males constituted the majority of traumatic injury. Among this cohort, hospital resource utilisation was high as was mortality. This data can help guide the implementation of interventions to improve trauma care in the Rwandan setting.

Introduction Augmented reality (AR), mixed reality (MR), and virtual reality devices are enabling technologies that may facilitate effective communication in healthcare between those with information and knowledge (clinician/specialist; expert; educator) and those seeking understanding and insight (patient/family; non-expert; learner). Investigators initiated an exploratory program to enable the study of AR/MR use-cases in acute care clinical and instructional settings. Methods Academic clinician educators, computer scientists, and diagnostic imaging specialists conducted a proof-of-concept project to 1) implement a core holoimaging pipeline infrastructure and open-access repository at the study institution, and 2) use novel AR/MR techniques on off-the-shelf devices with holoimages generated by the infrastructure to demonstrate their potential role in the instructive communication of complex medical information. Results The study team successfully developed a medical holoimaging infrastructure methodology to identify, retrieve, and manipulate real patients’ de-identified computed tomography and magnetic resonance imagesets for rendering, packaging, transfer, and display of modular holoimages onto AR/MR headset devices and connected displays. Holoimages containing key segmentations of cervical and thoracic anatomic structures and pathology were overlaid and registered onto physical task trainers for simulation-based “blind insertion” invasive procedural training. During the session, learners experienced and used task-relevant anatomic holoimages for central venous catheter and tube thoracostomy insertion training with enhanced visual cues and haptic feedback. Direct instructor access into the learner’s AR/MR headset view of the task trainer was achieved for visual-axis interactive instructional guidance. Conclusion Investigators implemented a core holoimaging pipeline infrastructure and modular open-access repository to generate and enable access to modular holoimages during exploratory pilot stage applications for invasive procedure training that featured innovative AR/MR techniques on off-the-shelf headset devices.