Comparison of Obstetric Emergency Clinical Readiness: A Cross-Sectional Analysis of Hospitals in Amhara, Ethiopia

Abstract

Background Measuring facility readiness to manage basic obstetric emergencies is a critical step toward reducing persistently elevated maternal mortality ratios (MMR). Currently, the Signal Functions (SF) is the gold standard for measuring facility readiness globally and endorsed by the WHO. The presence of tracer items classifies facilities’ readiness to manage basic emergencies. However, research suggests the signal functions may be an incomplete indicator. The Clinical Cascades (CC) have emerged as a clinically-oriented alternative to measuring readiness. The purpose of this study is to determine Amhara's clinical readiness and quantify the relationship between SF and cascade estimates of readiness. Methods Data were collected in May 2021via Open Data Kit (ODK) and KoBo Toolbox. We surveyed 20 hospitals across three levels of the health system. Commodities were used to create measures of SF-readiness (e.g., % tracers) and cascade-readiness. We calculated differences in SF and cascade estimates and calculated readiness loss across five emergencies and 3 stages of care in the cascades. Results The overall Signal Function estimate for all 6 obstetric emergencies was 17.5% greater than the estimates using the cascades. Consistent with global patterns, hospitals were more prepared to provide medical management (70.0% ready) compared to manual procedures (56.7% ready). The SF overestimate was greater for manual procedures (26.7% overall for retained placenta and incomplete abortion) and less for medical treatments (8.3%). Hospitals were least prepared to manage retained placentas (30.0% of facilities were ready at treatment and 0.0% were ready at monitor and modify) and most able to manage hypertensive emergencies (85.0% of facilities were ready at the treatment stage). When including protocols in the analysis, no facilities were ready to monitor and modify the initial therapy when clinically indicated for 3 common emergencies—sepsis, post-partum hemorrhage and retained placentas. Conclusions We identified a significant discrepancy between SF and CC readiness classifications. Those facilities that fall within this discrepancy are unprepared to manage common obstetric emergencies, but regional health planners are unable to identify the need. Future research should explore the possibility of modifying the SF or replacing it with a new readiness measurement.

Designing Electronic Data Capture Systems for Sustainability in Low-Resource Settings: Viewpoint With Lessons Learned From Ethiopia and Myanmar

“…Designed content and metrics to ensure information was relevant to the local context while promoting internal and external validity (eg, incorporating clinical cascade metrics for newborns and mothers into routine SLL data collection) [ 16 , 24 ].…”

“…Table 1. Electronic data capture (EDC) design and implementation features to support population health surveillance for the Saving Little Lives (SLL) initiative [16,24,25].…”