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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: 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

Objective To evaluate the utility of the quick Sepsis-related Organ Failure Assessment (qSOFA) score to predict risks for emergency department (ED) and hospital mortality among patients in a sub-Saharan Africa (SSA) setting. Methods This retrospective cohort study was carried out at a tertiary-care hospital, in Kigali, Rwanda and included patients ≥15 years, presenting for ED care during 2013 with an infectious disease (ID). ED and overall hospital mortality were evaluated using multivariable regression, with qSOFA scores as the primary predictor (reference: qSOFA = 0), to yield adjusted relative risks (aRR) with 95% confidence intervals (CI). Analyses were performed for the overall population and stratified by HIV status. Results Among 15,748 cases, 760 met inclusion (HIV infected 197). The most common diagnoses were malaria and intra-abdominal infections. Prevalence of ED and hospital mortality were 12.5% and 25.4% respectively. In the overall population, ED mortality aRR was 4.8 (95% CI 1.9–12.0) for qSOFA scores equal to 1 and 7.8 (95% CI 3.1–19.7) for qSOFA scores ≥2. The aRR for hospital mortality in the overall cohort was 2.6 (95% 1.6–4.1) for qSOFA scores equal to 1 and 3.8 (95% 2.4–6.0) for qSOFA scores ≥2. For HIV infected cases, although proportional mortality increased with greater qSOFA score, statistically significant risk differences were not identified. Conclusion The qSOFA score provided risk stratification for both ED and hospital mortality outcomes in the setting studied, indicating utility in sepsis care in SSA, however, further prospective study in high-burden HIV populations is needed.

Injury is a major cause of premature death and disability in East Africa, and high-quality pre-hospital care is essential for optimal trauma outcomes. The Rwandan pre-hospital emergency care service (SAMU) uses an electronic database to evaluate and optimize pre-hospital care through a continuous quality improvement programme (CQIP), beginning March 2014.The SAMU database was used to assess pre-hospital quality metrics including supplementary oxygen for hypoxia (O2), intravenous fluids for hypotension (IVF), cervical collar placement for head injuries (c-collar), and either splinting (splint) or administration of pain medications (pain) for long bone fractures. Targets of90% were set for each metric and daily team meetings and monthly feedback sessions were implemented to address opportunities for improvement. These five pre-hospital quality metrics were assessed monthly before and after implementation of the CQIP. Met and unmet needs for O2, IVF, and c-collar were combined into a summative monthly SAMU Trauma Quality Scores (STQ score). An interrupted time series linear regression model compared the STQ score during 14 months before the CQIP implementation to the first 14 months after.During the 29-month study period 3,822 patients met study criteria. 1,028 patients needed one or more of the five studied interventions during the study period. All five endpoints had a significant increase between the pre-CQI and post-CQI periods (p0.05 for all), and all five achieved a post-CQI average of at least 90% completion. The monthly composite STQ scores ranged from 76.5 to 97.9 pre-CQI, but tightened to 86.1-98.7 during the post-CQI period. Interrupted time series analysis of the STQ score showed that CQI programme led to both an immediate improvement of +6.1% (p=0.017) and sustained monthly improvements in care delivery-improving at a rate of 0.7% per month (p=0.028).The SAMU experience demonstrates the utility of a responsive, data-driven quality improvement programme to yield significant immediate and sustained improvements in pre-hospital care for trauma in Rwanda. This programme may be used as an example for additional efforts engaging frontline staff with real-time data feedback in order to rapidly translate data collection efforts into improved care for the injured in a resource-limited setting.

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.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.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.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.Les blessures sont responsables de 10% de la charge mondiale de morbidité, résultant sur environ 5,8 millions de décès par an. Les registres des traumatismes constituent un outil important pour le développement d’un système sur les traumatismes; cependant, les ressources limitées qui caractérisent les pays à revenu faible et intermédiaire font que le développement de registres des traumatismes de qualité est difficile. Nous décrivons le développement d’un registre des traumatismes dans les pays à revenu faible et intermédiaire à partir d’un examen rétrospectif approfondi des dossiers incluant des données tirées des registres pré-hospitaliers, des services d’urgence et des patients hospitalisés.Cet article décrit les méthodes dont nous disposons pour identifier et localiser les patients et leurs dossiers médicaux en utilisant des techniques de couplage de dossiers pragmatiques et localement appropriées. Une base de données pré-hospitalières a été interrogée afin d’identifier les patients transportés à l’Hôpital universitaire de Kigali, au Rwanda, de décembre 2012 à février 2015. Les informations démographiques ont été enregistrées et utilisées afin de créer un indice d’identification à cinq facteurs, utilisé ensuite pour mener une recherche dans OpenClinic GA, un système d’information hospitalière en open source accessible en ligne. Les numéros de dossiers médicaux et les codes d’archives obtenu par OpenClinic GA ont été ensuite utilisés pour localiser le dossier médical physique afin d’en extraire les données.Au total, 1668 patients ayant souffert de traumatisme ont été transportés au cours de la période à l’étude. 66,7% ont pu être couplés à leur numéro de dossier médical et code d’archive. 94% de ces patients ont pu être couplés à 4 ou 5 des cinq identifiants préétablis. 945 fichiers ont pu être localisés et extraits pour être intégrés au registre des traumatismes. Le couplage des dossiers et l’extraction des fiches ont nécessité environ 1 256 heures.Le processus de couplage de dossiers et d’extraction des fiches a nécessité des ressources considérables; cependant, notre méthodologie unique a résulté sur un taux de couplage élevé. Cette étude suggère qu’il est possible de créer un registre des traumatismes rétrospectif dans les pays à revenu faible et intermédiaire en utilisant des techniques de couplage de dossiers localement appropriées.