Mixed-Methods Evaluation of a Multi-Level, Multi-Component Implementation Theory: Results From Scaling Up Obstetric Triage in Six Referral Hospitals in Ghana

Why It Matters

Accelerating triage cuts delays that cause maternal deaths, offering a replicable model for other low‑resource health systems.

Key Takeaways

• Assessment within 10 minutes increased from 5% to 85% in one year
• 96% of patients received color‑coded wristbands, indicating high adoption
• Risk categorization accuracy remained at 83% across all sites
• Facility champions and learning networks drove sustained implementation

Pulse Analysis

Maternal and newborn mortality remain pressing concerns in sub‑Saharan Africa, where delays in receiving definitive care after hospital arrival account for a sizable share of preventable deaths. Ghana has made notable strides in reducing these rates, yet bottlenecks at the point of entry—particularly for high‑risk pregnancies—continue to jeopardize outcomes. Timely clinical assessment, ideally within the first ten minutes, is recognized by the World Health Organization as a critical determinant of survival. Addressing this gap requires not only clinical protocols but also robust implementation mechanisms that can operate in resource‑constrained environments.

The Obstetric Triage Implementation Package (OTIP), co‑developed by Kybele, Inc. and the Ghana Health Service, introduced a midwife‑led, color‑coded wristband system to prioritize patients at six referral hospitals between 2019 and 2022. Using a Type II hybrid implementation‑effectiveness design, researchers measured both clinical impact—women assessed within ten minutes—and implementation fidelity, adoption, and sustainability. Results showed a jump from 5% to 85% in rapid assessments, 96% adoption of wristbands, and 83% accurate risk classification, while qualitative data highlighted the pivotal role of facility champions, leadership buy‑in, and a cross‑facility learning network in maintaining performance.

The Ghana experience underscores how a theory‑driven, multilevel approach can accelerate the scale‑up of complex health interventions without sacrificing quality. By embedding continuous feedback loops, leveraging local champions, and aligning national oversight through a Technical Advisory Group, OTIP achieved durable change despite systemic constraints such as staffing shortages and limited equipment. Policymakers and donors seeking to replicate similar gains should prioritize implementation science frameworks, invest in capacity‑building for frontline staff, and create platforms for peer learning. The model offers a pragmatic blueprint for other low‑resource settings aiming to reduce obstetric delays and improve maternal outcomes.