Challenges Locating the Scene of Emergency: A Qualitative Study of the EMS System in Rwanda.

BACKGROUND: Timely prehospital emergency care significantly improves health outcomes. One substantial challenge delaying prehospital emergency care is in locating the patient requiring emergency services. The goal of this study was to describe challenges emergency medical services (EMS) teams in Rwanda face locating emergencies, and explore potential opportunities for improvement. METHODS: Between August 2021 and April 2022, we conducted 13 in-depth interviews with three stakeholder groups representing the EMS response system in Rwanda: ambulance dispatchers, ambulance field staff, and policymakers. Semi-structured interview guides covered three domains: 1) the process of locating an emergency, including challenges faced; 2) how challenges affect prehospital care; and 3) what opportunities exist for improvement. Interviews lasted approximately 60 min, and were audio recorded and transcribed. Applied thematic analysis was used to identify themes across the three domains. NVivo (version 12) was used to code and organize data. RESULTS: The current process of locating a patient experiencing a medical emergency in Kigali is hampered by a lack of adequate technology, a reliance on local knowledge of both the caller and response team to locate the emergency, and the necessity of multiple calls to share location details between parties (caller, dispatch, ambulance). Three themes emerged related to how challenges affect prehospital care: increased response interval, variability in response interval based on both the caller's and dispatcher's individual knowledge of the area, and inefficient communication between the caller, dispatch, and ambulance. Three themes emerged related to opportunities for processes and tools to improve the location of emergencies: technology to geolocate an emergency accurately and improve the response interval, improvements in communication to allow for real-time information sharing, and better location data from the public. CONCLUSION: This study has identified challenges faced by the EMS system in Rwanda in locating emergencies and identified opportunities for intervention. Timely EMS response is essential for optimal clinical outcomes. As EMS systems develop and expand in low-resource settings, there is an urgent need to implement locally relevant solutions to improve the timely locating of emergencies.

Challenges and opportunities to improve efficiency and quality of prehospital emergency care using an mHealth platform: Qualitative study in Rwanda.

Introduction: Prompt, high-quality pre-hospital emergency medical services (EMS) can significantly reduce morbidity and mortality. The goal of this study was to identify factors that compromise efficiency and quality of pre-hospital emergency care in Rwanda, and explore the opportunities for a mobile health (mHealth) tool to address these challenges. Methods: In-depth interviews were conducted with 21 individuals representing four stakeholder groups: EMS dispatch staff, ambulance staff, hospital staff, and policymakers. A semi-structured interview guide explored participants' perspectives on all aspects of the pre-hospital emergency care continuum, from receiving a call at dispatch to hospital handover. Participants were asked how the current system could be improved, and the potential utility of an mHealth tool to address existing challenges. Interviews were audio-recorded, and transcripts were thematically analyzed using NVivo. Results: Stakeholders identified factors that compromise the efficiency and quality of care across the prehospital emergency care continuum: triage at dispatch, dispatching the ambulance, locating the emergency, coordinating patient care at scene, preparing the receiving hospital, and patient handover to the hospital. They identified four areas where an mHealth tool could improve care: efficient location of the emergency, streamline communication for decision making, documentation with real-time communication, and routine data for quality improvement. While stakeholders identified advantages of an mHealth tool, they also mentioned challenges that would need to be addressed, namely: limited internet bandwidth, capacity to maintain and update software, and risks of data security breaches that could lead to stolen or lost data. Conclusion: Despite the success of Rwanda's EMS system, this study highlights factors across the care continuum that could compromise quality and efficiency of prehospital emergency care. Mobile health tools hold great promise to address these challenges, but contextual issues need to be considered to ensure sustainability of use.

Trends in Neurotrauma Epidemiology, Management, and Outcomes during the COVID-19 Pandemic in Kigali, Rwanda.

National regulations to curb the coronavirus disease 2019 (COVID-19) transmission and health care resource reallocation may have impacted incidence and treatment for neurotrauma, including traumatic brain injury (TBI) and spinal trauma, but these trends have not been characterized in Sub-Saharan Africa. This study analyzes differences in epidemiology, management, and outcomes preceding and during the COVID-19 pandemic for neurotrauma patients in a Rwandan tertiary hospital. The study setting was the Centre Hospitalier Universitaire de Kigali (CHUK), Rwanda's national referral hospital. Adult injury patients presenting to the CHUK Emergency Department (ED) were prospectively enrolled from January 27, 2020 to June 28, 2020. Study personnel collected data on demographics, injury characteristics, serial neurological examinations, treatment, and outcomes. Differences in patients before (January 27, 2020 to March 21, 2020) and during (June 1, 2020 to June 28, 2020) the COVID-19 pandemic were assessed using chi-squared and Mann-Whitney U tests. The study population included 216 patients with neurotrauma (83.8% TBI, 8.3% spine trauma, and 7.9% with both). Mean age was 34.1 years (standard deviation [SD] = 12.5) and 77.8% were male. Patients predominantly experienced injury following a road traffic accident (RTA; 65.7%). Weekly volume for TBI (mean = 16.5 vs. 17.1, p = 0.819) and spine trauma (mean = 2.0 vs. 3.4, p = 0.086) was similar between study periods. During the pandemic, patients had lower Glasgow Coma Scale (GCS) scores (mean = 13.8 vs. 14.3, p = 0.068) and Kampala Trauma Scores (KTS; mean = 14.0 vs. 14.3, p = 0.097) on arrival, denoting higher injury severity, but these differences only approached significance. Patients treated during the pandemic period had higher occurrence of hemorrhage, contusion, or fracture on computed tomography (CT) imaging (47.1% vs. 26.7%, p = 0.003) and neurological decline (18.6% vs. 7.5%, p = 0.016). Hospitalizations also increased significantly during COVID-19 (54.6% vs. 39.9%, p = 0.048). Craniotomy rates doubled during the pandemic period (25.7% vs. 13.7%, p = 0.003), but mortality was unchanged (5.5% vs. 5.7%, p = 0.944). Neurotrauma volume remained unchanged at CHUK during the COVID-19 pandemic, but presenting patients had higher injury acuity and craniotomy rates. These findings may inform care during pandemic conditions in Rwanda and similar settings.

Factors associated with HIV testing among patients seeking emergent injury care in Kigali, Rwanda.

Introduction: Emergency centres (ECs) can be important access points for HIV testing. In Rwanda, one in eight people with HIV are unaware of their infection status, which impedes epidemic control. This could be addressed via increased testing. This cross-sectional study evaluated factors associated with EC-based HIV testing among injured patients at the Centre Hospitalier Universitaire de Kigali (CHUK), in Kigali, Rwanda. Methods: Adult injury patients were prospectively enrolled between January-June 2020. Trained study personnel collected data on demographics, injury aspects, treatments, HIV testing, and disposition. The primary outcome was the completion of EC-based HIV testing. Differences between those receiving and those not receiving testing were assessed. Regression models yielding adjusted odds ratios with associated 95% confidence intervals (CI) were calculated to quantify magnitudes of effect. Results: Among 579 patients, the majority were under 45 years of age (78.1%) and male (74.4%). The most common mechanism of injury was road traffic accidents (50.3%). EC discharge occurred in 54.4% of cases. HIV testing was performed in 221 (38.2%) cases, of which 5.9% had a positive result. HIV testing was more likely among males (aOR=1.69, 95% CI: 1.02-2.78; p=0.04), cases transported by prehospital services (aOR=2.07, 95% CI: 1.28-3.35; p=0.003) and those receiving surgical consultation (aOR=3.13, 95% CI: 1.99-4.94; p<0.001). Cases with lower acuity were less likely to be tested (OR=0.70, 95% CI: 0.55-0.90; p=0.004), as were those discharged (OR=0.28, 95% CI: 0.18-0.43; p<0.001). Conclusion: In the population studied, most patients did not undergo HIV testing. EC-based physician directed testing was more likely among male patients and patients with greater care needs. These results may inform approaches to increase EC-based testing services in Rwanda and other similar settings with high HIV burdens.

The Initial Prehospital Management of Traumatic Brain Injuries in Kigali, Rwanda.

INTRODUCTION: Traumatic brain injuries (TBIs) are an important cause of mortality and disability around the world. Early intervention and stabilization are necessary to obtain optimal outcomes, yet little is written on the topic in low- and middle-income countries (LMICs). The aim is to provide a descriptive analysis of patients with TBI treated by Service d'Aide Medicale Urgente (SAMU), the prehospital ambulance service in Kigali, Rwanda. HYPOTHESIS/PROBLEM: What is the incidence and nature of TBI seen on the ambulance in Kigali, Rwanda? METHODS: A retrospective descriptive analysis was performed using SAMU records captured on an electronic database from December 2012 through May 2016. Variables included demographic information, injury characteristics, and interventional data. RESULTS: Patients with TBIs accounted for 18.0% (n = 2,012) of all SAMU cases. The incidence of TBIs in Kigali was 234 crashes per 100,000 people. The mean age was 30.5 (SD = 11.5) years and 81.5% (n = 1,615) were men. The most common mechanisms were road traffic incidents (RTIs; 78.5%, n = 1,535), assault (10.7%, n=216), and falls (7.8%, n=156). Most patients experienced mild TBI (Glasgow Coma Score [GCS] ≥ 13; 83.5%, n = 1,625). The most common interventions were provision of pain medications (71.0%, n = 1,429), placement of a cervical collar (53.6%, n = 1,079), and administration of intravenous fluids (48.7%, n = 979). In total, TBIs were involved in 67.0% of all mortalities seen by SAMU. CONCLUSION: Currently, TBIs represent a large burden of disease managed in the prehospital setting of Kigali, Rwanda. These injuries are most often caused by RTIs and were observed in 67% of mortalities seen by SAMU. Rwanda has implemented several initiatives to reduce the incidence of TBIs with a specific emphasis on road safety. Further efforts are needed to better prevent these injuries. Countries seeking to develop prehospital care capacity should train providers to manage patients with TBIs.