Implementation of a Data-Driven Pre-Hospital Lay First Responder Program in Cameroon
Implementation of a Data-Driven Pre-Hospital Lay First Responder Program in Cameroon
Cameroon experiences a high burden of injury-related morbidity and mortality and currently lacks a formal pre-hospital care system. Lay First Responder (LFR) programs have been implemented in several low-and middle-income countries to improve early injury care by training non-medical community members with high exposure to injury, such as commercial drivers, in basic first aid and safe transport of injured patients.
The study aims to implement and evaluate a data-driven, context-adapted LFR program in Cameroon using an implementation science approach. Quantitative trauma registry data and qualitative stakeholder interviews will be used to adapt the LFR curriculum to local injury patterns and care gaps. LFR program implementation will be associated with increased chances of survival on presentation and improved trauma outcomes.
The study is an interrupted time series evaluation of an LFR intervention where prehospital care rates and clinical patterns in the Cameroon Trauma Registry (CTR) patients at Limbe Regional hospital will be compared between historical pre-implementation controls and post-implementation of a data-driven lay first responder training program (the intervention).
Injury accounts for a substantial proportion of preventable mortality in Cameroon, where no organized prehospital emergency medical system currently exists. Evidence suggests that effective prehospital care could prevent up to 45% of injury-related deaths. Lay First Responder (LFR) programs represent a pragmatic strategy for improving early trauma care in resource-limited settings by training lay persons who are frequently present at injury scenes.
Despite promising early results in other settings, rigorous evaluation of LFR programs has been limited, particularly regarding their impact on patient-level outcomes. This study aim to test the contextual feasibility of the lay first responder program in Cameroon, after it has been successful in other Sub-Saharan nations.
This study seeks to address these gaps by implementing a data-driven LFR program informed by trauma registry analysis and stakeholder engagement, and by evaluating feasibility, acceptability, and effectiveness within Cameroonian context.
The Cameroon Trauma Registry (CTR) gathers prospective data on patient demographics, injury characteristics, receipt of prehospital care, clinical findings and management, disposition and outcomes on patients admitted for injuries at ten trauma hospitals in Cameroon. Each hospital has a full-time research assistant overseen by an MPH-level field supervisor. Patients are followed from presentation through hospital discharge. This study will be implemented in Limbe municipality, Cameroon and will utilize data from the Limbe Regional Hospital site of the CTR.
The LFR intervention: An LFR curriculum adapted for the Cameroon context using a two-stage, mixed-methods approach (quantitative analysis of prospective CTR data and qualitative semi-structured interviews of target stakeholders) will be used to train LFR providers (commercial drivers and community members) over a 3-month training and transition period.
The primary metric of program feasibility will be percent change in the proportion of trauma patients receiving prehospital care in the post-intervention cohort compared to pre-intervention historical controls. The secondary outcomes for program effectiveness will be injury severity-stratified percentage change in the proportion of CTR patients presenting with normal vital signs (systolic blood pressure, heart rate, respiratory rate) in the post-intervention cohort compared to the pre-intervention cohort.
Inclusion Criteria:
- Trauma patients presenting to Limbe Regional Hospital and enrolled in the Cameroon Trauma Registry
Exclusion Criteria
- Trauma patients not included in the Cameroon trauma registry at Limbe regional hospital.
s.ariane.christie@gmail.com808-430-9678
iobeng@mednet.ucla.edu202-500-4230