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Using clinical cascades to measure health facilities’ obstetric emergency readiness: testing the cascade model using cross-sectional facility data in East Africa

Authors :
Peter Waiswa
Dilys Walker
John N Cranmer
Jessica M Sales
Bridget Whaley
Elizabeth Butrick
Anthony Wanyoro
Source :
BMJ Open, Vol 12, Iss 4 (2022)
Publication Year :
2022
Publisher :
BMJ Publishing Group, 2022.

Abstract

Objectives Globally, hundreds of women die daily from preventable pregnancy-related causes, with the greatest burden in sub-Saharan Africa. Five key emergencies—bleeding, infections, high blood pressure, delivery complications and unsafe abortions—account for nearly 75% of these obstetric deaths. Skilled clinicians with strategic supplies could prevent most deaths. In this study, we (1) measured facility readiness to manage common obstetric emergencies using the clinical cascades and signal function tracers; (2) compared these readiness estimates by facility characteristics; and (3) measured cascading drop-offs in resources.Design A facility-based cross-sectional analysis of resources for common obstetric emergencies.Setting Data were collected in 2016 from 23 hospitals (10 designated comprehensive emergency obstetric care (CEmOC) facilities) in Migori County, western Kenya, and Busoga Region, eastern Uganda, in the Preterm Birth Initiative study in East Africa. Baseline data were used to estimate a facility’s readiness to manage common obstetric emergencies using signal function tracers and the clinical cascade model. We compared emergency readiness using the proportion of facilities with tracers (signal functions) and the proportion with resources for identifying and treating the emergency (cascade stages 1 and 2).Results The signal functions overestimated practical emergency readiness by 23 percentage points across five emergencies. Only 42% of CEmOC-designated facilities could perform basic emergency obstetric care. Across the three stages of care (identify, treat and monitor-modify) for five emergencies, there was a 28% pooled mean drop-off in readiness. Across emergencies, the largest drop-off occurred in the treatment stage. Patterns of drop-off remained largely consistent across facility characteristics.Conclusions Accurate measurement of obstetric emergency readiness is a prerequisite for strengthening facilities’ capacity to manage common emergencies. The cascades offer stepwise, emergency-specific readiness estimates designed to guide targeted maternal survival policies and programmes.Trial registration number NCT03112018.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
12
Issue :
4
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.9380cd7be9204fb384599a2b381b4173
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2021-057954