Epidemiology of paediatric injuries in Rwanda using a prospective trauma registry

listen audio

Study Justification:
– Child survival initiatives have historically focused on infectious diseases and maternal conditions, neglecting paediatric injuries in resource-limited settings.
– This study aimed to evaluate the demographics and outcomes of paediatric injuries in Rwanda to improve prevention and treatment efforts.
Study Highlights:
– A prospective trauma registry was established at two university teaching campuses in Rwanda.
– The registry recorded patient demographics, prehospital care, initial physiology, and outcomes from May 2011 to July 2015.
– Of the 11,036 patients in the registry, 27.3% were under 18 years of age.
– Falls were the most common injury (45.3%), followed by road traffic accidents (30.9%), burns (10.7%), and blunt force/assault (7.5%).
– The mortality rate for paediatric injuries was 4.8%.
– Patients treated in the capital city, Kigali, had a higher incidence of head injury and overall injury-related mortality compared to a rural town.
– Pedestrians had a higher overall injury-related mortality compared to other road users.
Study Recommendations:
– Paediatric injuries are a significant contributor to morbidity and mortality, highlighting the need for prevention and treatment efforts.
– Resource utilization and capacity-building efforts should be planned based on trauma demographics and vulnerable populations.
Key Role Players:
– Ministry of Health
– University of Rwanda
– Centre Hospitalier Universitaire de Kigali (CHUK)
– Centre Hospitalier Universitaire de Butare (CHUB)
– Service d’Aide Médicale Urgente (SAMU)
– Trained nurses and medical students
– Principal investigator
– Nurse coordinator
– Data registrar
Cost Items for Planning Recommendations:
– Training for data collection and registry implementation
– Equipment and supplies for data collection and patient care
– Staff salaries and benefits
– Transportation and logistics for patient referrals and emergency services
– Communication and information systems for data management
– Quality assurance and monitoring processes
– Research and evaluation activities
Please note that the above information is a summary of the study and its findings. For more detailed information, please refer to the publication “BJS open, Volume 4, No. 1, Year 2020.”

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study utilized a prospective trauma registry to systematically record patient demographics, prehospital care, initial physiology, and patient outcomes. The sample size of 11,036 patients, with 27.3% being under 18 years of age, provides a substantial amount of data. The study also performed univariable and multivariable analyses to assess demographic characteristics, injury mechanisms, geographical location, and outcomes. However, there are a few limitations that could be addressed to improve the strength of the evidence. First, the abstract does not provide information on the representativeness of the sample or the generalizability of the findings to the broader population of Rwanda. Second, while the study identifies falls, road traffic accidents, burns, and blunt force/assault as the most common injuries, it does not provide detailed information on the severity or specific types of injuries. This limits the ability to fully understand the impact of these injuries on morbidity and mortality. To improve the evidence, future studies could include a more diverse and representative sample, provide detailed information on injury severity, and explore potential risk factors and interventions for prevention and treatment of paediatric injuries in resource-limited settings.

BACKGROUND: Child survival initiatives historically prioritized efforts to reduce child morbidity and mortality from infectious diseases and maternal conditions. Little attention has been devoted to paediatric injuries in resource-limited settings. This study aimed to evaluate the demographics and outcomes of paediatric injury in a sub-Saharan African country in an effort to improve prevention and treatment. METHODS: A prospective trauma registry was established at the two university teaching campuses of the University of Rwanda to record systematically patient demographics, prehospital care, initial physiology and patient outcomes from May 2011 to July 2015. Univariable analysis was performed for demographic characteristics, injury mechanisms, geographical location and outcomes. Multivariable analysis was performed for mortality estimates. RESULTS: Of 11 036 patients in the registry, 3010 (27·3 per cent) were under 18 years of age. Paediatric patients were predominantly boys (69·9 per cent) and the median age was 8 years. The mortality rate was 4·8 per cent. Falls were the most common injury (45·3 per cent), followed by road traffic accidents (30·9 per cent), burns (10·7 per cent) and blunt force/assault (7·5 per cent). Patients treated in the capital city, Kigali, had a higher incidence of head injury (7·6 per cent versus 2·0 per cent in a rural town, P < 0·001; odds ratio (OR) 4·08, 95 per cent c.i. 2·61 to 6·38) and a higher overall injury-related mortality rate (adjusted OR 3·00, 1·50 to 6·01; P = 0·019). Pedestrians had higher overall injury-related mortality compared with other road users (adjusted OR 3·26, 1·37 to 7·73; P = 0·007). CONCLUSION: Paediatric injury is a significant contributor to morbidity and mortality. Delineating trauma demographics is important when planning resource utilization and capacity-building efforts to address paediatric injury in low-resource settings and identify vulnerable populations.

Rwanda has a population of 12·2 million (4·9 million people under the age of 15 years)16. There are 42 district and four referral hospitals; the referral hospitals also serve as teaching hospitals17. Rwanda has one of the few publicly‐funded national ambulance services in sub‐Saharan Africa. Prehospital emergency medical services, known as the Service d'Aide Médicale Urgente (SAMU), were established by the Ministry of Health in 200718. As few emergency or surgical services are provided at district hospitals, injured patients are often sent to the referral hospitals for evaluation and definitive care. The university teaching hospital in Kigali (Centre Hospitalier Universitaire de Kigali (CHUK)) is a public 520‐bed hospital in the capital of Rwanda. The university teaching hospital in Butare (Centre Hospitalier Universitaire de Butare (CHUB)) is a public 500‐bed hospital located 133·6 km south in Butare, Huye District, a university town with a population of 89 600 people at the 2012 census19. Ethical approval for the study was obtained from the University of Virginia institutional review board for health sciences research (number 15075) and the ethics committee at CHUK (EC/CHUK/006/10). Development of the Rwanda Injury Registry has been described previously14, 15, 20. This is a prospective trauma registry that was established at the two campuses of CHUK and CHUB in Rwanda to record systematically patient demographics, prehospital care, initial physiology and patient outcomes. Data were collected on a 31‐item paper registry form that was adapted locally for the Rwandan setting from registries in other sub‐Saharan African countries21, 22. Local training was conducted over a 1‐month period, and the form was rolled out for data collection in March 2011. Arrival data were collected by trained nurses in the accident and emergency department (ED) within 24 h of admission. Over the period of data collection, 2‐week and 1‐month in‐hospital outcome data were abstracted from patient chart review, ward registries and operating room logs by trained medical students, the principal investigator or the nurse coordinator. Inclusion criteria included: any injured patient referred from a district hospital for injury evaluation, any injury‐related mortality in the emergency department or any inpatient hospitalization or emergency stay greater than 24 h. Patients who arrived at the first hospital of contact and were treated and sent home within 24 h were excluded. Data were entered into a searchable Microsoft Access® 2010 (Microsoft, Santa Rosa, California, USA) database by a trained data registrar. Deidentified data for patients aged less than 18 years were abstracted over a 4‐year period from May 2011 to July 2015. Data collected during the implementation and transition period in March and April 2011 were excluded. Descriptive analysis was performed using SAS® 9.4 (SAS Institute, Cary, North Carolina, USA). Primary outcomes assessed using univariable analysis included overall and injury‐related mortality. Outcomes were compared between hospitals and based on injury mechanism using χ2 and Fisher's exact tests for non‐parametric data. Multivariable logistic regression analysis was performed to control for age, sex and injury severity. Variables were selected a priori based on clinical relevance and available data in the registry. For example, anatomical injury severity scores were not calculated, and respiratory rate was available for only two‐thirds of the paediatric patients. Injury severity was therefore determined using the modified Kampala Trauma Score (mKTS)23.

N/A

Based on the provided information, here are some potential innovations that could improve access to maternal health in Rwanda:

1. Mobile Health Clinics: Implementing mobile health clinics that travel to rural areas and provide maternal health services, including prenatal care, vaccinations, and education.

2. Telemedicine: Introducing telemedicine services that allow pregnant women in remote areas to consult with healthcare professionals and receive guidance and support throughout their pregnancy.

3. Community Health Workers: Expanding the role of community health workers to include maternal health education, monitoring, and support. These workers can visit pregnant women in their communities, provide information, and ensure they receive necessary care.

4. Maternal Health Vouchers: Introducing a voucher system that provides pregnant women with access to essential maternal health services, such as prenatal care, delivery, and postnatal care, regardless of their financial situation.

5. Training and Capacity Building: Investing in training programs for healthcare professionals, particularly in rural areas, to improve their skills and knowledge in maternal health. This can help ensure that quality care is available to all women, regardless of their location.

6. Public Awareness Campaigns: Launching public awareness campaigns to educate communities about the importance of maternal health and encourage women to seek care during pregnancy. These campaigns can address cultural beliefs and misconceptions that may prevent women from accessing care.

7. Infrastructure Development: Improving the infrastructure of healthcare facilities, particularly in rural areas, to ensure they have the necessary equipment and resources to provide quality maternal health services.

8. Collaboration and Partnerships: Strengthening partnerships between government agencies, non-profit organizations, and private sector entities to pool resources and expertise in improving access to maternal health services.

These innovations can help address the challenges faced in accessing maternal health services in Rwanda and improve the overall health outcomes for mothers and their children.
AI Innovations Description
Based on the provided information, the recommendation to improve access to maternal health in Rwanda could be to utilize the existing national ambulance service, Service d’Aide Médicale Urgente (SAMU), to provide emergency transportation for pregnant women in need of maternal care. This would ensure that pregnant women in remote or low-resource areas have access to timely and appropriate medical assistance during pregnancy, labor, and delivery. By leveraging the infrastructure and resources of SAMU, pregnant women can be transported to referral hospitals or healthcare facilities equipped to handle maternal health emergencies. This recommendation aligns with the goal of reducing maternal morbidity and mortality in resource-limited settings and addresses the need to identify vulnerable populations, such as pregnant women, for targeted interventions.
AI Innovations Methodology
To improve access to maternal health in Rwanda, here are some potential recommendations:

1. Mobile Clinics: Implementing mobile clinics that travel to remote areas can provide essential maternal health services to women who may not have easy access to healthcare facilities. These clinics can offer prenatal care, vaccinations, and education on maternal health.

2. Telemedicine: Utilizing telemedicine technology can connect healthcare providers with pregnant women in rural areas. Through video consultations, healthcare professionals can provide guidance, monitor pregnancies, and address any concerns, improving access to quality care.

3. Community Health Workers: Training and deploying community health workers can help bridge the gap between healthcare facilities and remote communities. These workers can provide basic prenatal care, educate women on maternal health practices, and refer them to healthcare facilities when necessary.

4. Transportation Support: Improving transportation infrastructure and providing transportation support, such as subsidized or free transportation vouchers, can help pregnant women reach healthcare facilities more easily, especially in remote areas.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Data Collection: Gather data on the current state of maternal health in Rwanda, including information on healthcare facilities, maternal mortality rates, distance to healthcare facilities, and access to prenatal care.

2. Modeling: Develop a mathematical model that incorporates the potential recommendations mentioned above. This model should consider factors such as population distribution, transportation infrastructure, and the impact of each recommendation on improving access to maternal health.

3. Data Analysis: Use the collected data and the developed model to simulate the impact of the recommendations. Analyze the results to determine the potential improvements in access to maternal health, such as increased utilization of prenatal care, reduced maternal mortality rates, and improved health outcomes for mothers and infants.

4. Sensitivity Analysis: Perform sensitivity analysis to assess the robustness of the model and identify key factors that may influence the effectiveness of the recommendations. This analysis can help refine the recommendations and identify potential challenges or limitations.

5. Policy Recommendations: Based on the simulation results, provide policy recommendations to stakeholders, such as the government, healthcare organizations, and NGOs, to guide decision-making and resource allocation for improving access to maternal health in Rwanda.

Share this:
Facebook
Twitter
LinkedIn
WhatsApp
Email