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Injury is a major cause of death in Rwanda, with many deaths occurring before hospital admission. Timely transport of injured patients to appropriate hospitals is crucial, ideally within an hour for severely injured patients. However, delays in reaching treatment facilities are common, with ambulance services using inefficient mobile phone communication. This project aims to evaluate the effectiveness and implementation of an innovative electronic communication platform (912Rwanda).
The study will be conducted through the public ambulance service, Service d’Aide Médicale d’Urgence (SAMU), and receiving health facilities in Kigali city and Musanze district in Rwanda. The 912Rwanda intervention will be rolled out in the two locations at different times. The primary effectiveness outcome is the time from ambulance deployment to patient arrival at the health facility. Secondary effectiveness outcomes include disaggregated times of the primary outcome and clinical outcomes, such as length of stay and requirement for intensive care. These outcomes will be evaluated using an interrupted time series analysis, accounting for non-homogeneous variances, auto-regressive errors and non-linear trends where appropriate. Implementation outcomes will be evaluated using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) Qualitative Evaluation for Systematic Translation (QuEST) framework. Cost-effectiveness will be evaluated using a cost-consequence analysis with consequences as determined by the interrupted time series analysis.
Ethical approval was obtained from the Rwanda National Research Ethics Committee (Ref No: 99/RNEC/2023). Dissemination will occur through open-access peer-reviewed publications, relevant national and international conferences.
This study aimed to estimate the prevalence of depression and anxiety and associated risk factors among non-communicable diseases (NCD) clinic attendees in rural Rwanda.
Cross-sectional.
44 health centres in three rural districts in Rwanda.
Adults aged 18 years and older with a clinical diagnosis of diabetes, hypertension and/or asthma, who were attending a follow-up appointment during the study period (n=595).
Primary outcome measures were depression (measured by Patient Health Questionnaire-9) and anxiety (measured by Generalised Anxiety Disorder-7). Explanatory measures included sociodemographic and behavioural risk factors associated with depression and anxiety.
Of 595 participants, 265 (44.5%) had depression (95% CI: 40.5% to 48.6%) and 202 (33.9%) had anxiety (95% CI: 30.1% to 37.9%). Comorbidity of depression and anxiety was found in 137 participants (23%). Participants with no formal education had significantly higher odds of reporting depression and anxiety compared with those with primary and secondary/higher education (adjusted OR (aOR)=2.08; 95% CI=1.27 to 3.33, p=0.004, aOR=5.00; 95% CI=1.12 to 25.00, p=0.035, respectively). In addition, participants who were unemployed were more likely to report depression and anxiety (aOR=3.03; 95% CI=1.62 to 5.67, p
The overall prevalence of depression and anxiety was found to be significantly high among the study participants. The risk factors that were associated with depression and anxiety included level of education, district of residence, employment status and past trauma exposure. The findings emphasise the need for integrating mental health screening into NCD care, district-specific interventions, employment support services and trauma-focused care.
Delays in getting injured patients to the hospital in a timely manner can increase avoidable death and disability. Like many low-income or middle-income countries, Rwanda experiences delays related to a lack of efficient prehospital communication and formal guidelines to triage patients for hospital care. This study describes the protocol to develop, roll-out and evaluate the effectiveness of a destination decision support algorithm (DDSA) integrated in an electronic communication platform, ‘912Rwanda’. The DDSA will facilitate the linkage of patients to health facilities able to treat their condition(s).
Work will be conducted in the prehospital emergency service ‘Service d'Aide Médicale Urgente’ and health facilities in Kigali city and Musanze district, which serve predominantly urban and rural populations, respectively. We will develop interfaces to capture facility and patient-relevant data, which feed into a guideline-based electronic DDSA to match patients to hospitals. We will assess existing trauma care processes using qualitative and quantitative methodologies. This will be followed by a series of consensus workshops to develop at-scene triage guidelines and agree on variables to capture in the interfaces. The DDSA will be developed based on outputs from these workshops and will be tested against historical ambulance data and expert opinion until acceptable thresholds of performance are achieved. User interfaces will be developed and tested using human–computer interface design principles.
The combined collaborative approach of bringing together experts and software developers, and with deep engagement of Rwandan stakeholders, including leadership of Rwanda Ministry of Health through its technical arm, Rwanda Biomedical Center, should lead to an ambulance communication system which is used, sustained and effective.
The project was approved by the Rwanda National Research Ethics Committee. Annual reports will be disseminated to relevant stakeholders, followed by the public. Publications will be open access as per the funding policy.
ISRCTN97674565. Registered on 29 July 2024.
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