Using Clinical Cascades to Measure Health Facilities’ Obstetric Emergency Readiness: Testing the Cascades Model Using Cross-Sectional Facility Data in East Africa

This dataset was used in a facility-based cross-sectional analysis in which 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. 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 (PTBi) study in East Africa. Research assistants used standardised forms to visually identify emergency resources during the on-site physical inventory of resources. They captured data about facility characteristics, obstetric drugs, consumable supplies, durable goods and the presence of emergency guidelines and protocols. Researchers recorded both the presence/absence of the item and its location (ie, unit). In this analysis, we used a resource’s presence or absence at the facility level to estimate facility-level readiness regardless of the unit in which the items were located. Baseline data were used to estimate a facility’s readiness to manage common obstetric emergencies using WHO’s Service Readiness Index (SRI)/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)

Additional file 2 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Additional file 2: Table S2. Association results for the multi-ancestry index SNPs with the gene prioritization

Additional file 21 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Additional file 21: Table S13. Characteristics of replication cohorts (as provided by each participating cohort)

Additional file 30 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Additional file 30: Table S20. Colocalization results for the sex-specific loci