Evidence map›Paper›PMID 35379635›Full record

Trial reportBMJ open2022

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

Bridget Whaley, Elizabeth Butrick, Jessica M Sales, Anthony Wanyoro, Peter Waiswa, Dilys Walker, John N Cranmer

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03112018 (Strengthening Intrapartum and Immediate Newborn Care to Reduce Morbidity and Mortality of Preterm Infants in Health Facilities in Migori County, Kenya and Busoga Region, Uganda), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03112018 nacompletednot on this map

Strengthening Intrapartum and Immediate Newborn Care to Reduce Morbidity and Mortality of Preterm Infants in Health Facilities in Migori County, Kenya and Busoga Region, Uganda: an Implementation Science RCT

TypeinterventionalSponsorUniversity of California, San FranciscoRan2016 to 2019Enrolled102,988ConditionsPregnancy Complications, Preterm Labor, PreTerm Birth, StillbirthArmsdata strengthening, modified Safe childbirth checklist - control, modified Safe childbirth checklist - enhanced, PRONTO training, QI cycles
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Bridget WhaleyBehavioral, Social and Health Education Sciences, Emory University, Atlanta, Georgia, USA whaley.bridget@gmail.com.ORCID 0000-0003-0312-7800
Elizabeth ButrickInstitute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-0026-7464
Jessica M SalesBehavioral, Social and Health Education Sciences, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-1571-8192
Anthony WanyoroDepartment of Obstetrics and Gynecology, Kenyatta University, Nairobi, Kenya.ORCID 0000-0001-7167-3008
Peter WaiswaSchool of Public Health, Makerere University, Kampala, Uganda.ORCID 0000-0001-9868-0515
Dilys WalkerInstitute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-9599-388X
John N CranmerWoodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-7053-9157
Emory University · USUniversity of California, San Francisco · USKenyatta University · KEMakerere University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGlobally, 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.

designA facility-based cross-sectional analysis of resources for common obstetric emergencies.

settingData 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).

resultsThe 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 (

conclusionsAccurate 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.

Indexed as

Premature BirthCross-Sectional StudiesFemaleHealth FacilitiesHumansInfant, NewbornKenyaPregnancyUgandainternational health servicesmaternal medicineobstetricsquality in health care

Identifiers

PMID35379635
PMCPMC8981352
OpenAlexW4223483896

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.