Evidence map›Paper›PMID 37128422›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2022

Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention.

Girmaw Abebe Tadesse, Megan Marx Delaney, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Katherine E A Semrau, Skyler Speakman

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Girmaw Abebe TadesseIBM Research Africa, Nairobi, Kenya.
Megan Marx DelaneyAriadne Labs, Brigham & Women's Hospital, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Victor AkinwandeCarnegie Mellon University, Pittsburgh, Pennsylvania, USA.
William OgalloIBM Research Africa, Nairobi, Kenya.
Claire-Helene MershonBill & Melinda Gates Foundation, Seattle, WA, USA.
Katherine E A SemrauAriadne Labs, Brigham & Women's Hospital, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Skyler SpeakmanIBM Research Africa, Nairobi, Kenya.
Ariadne Diagnostics (United States) · USBill & Melinda Gates Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization (WHO) developed the Safe Childbirth Checklist as an intervention to improve care and outcomes in maternal and newborn health. The original study reported that the intervention did not significantly improve the outcomes. In this work, we employ a principled data-driven analysis to identify subpopulations with divergent characteristics: 1) vulnerable subgroups with the highest risk of neonatal deaths and 2) subgroups in the intervention arm that benefited from the Checklist intervention with significantly reduced risks of deaths and complications. Results demonstrate that low birth weight represented the most vulnerable group, whereas mother-baby dyads described by normal gestational age at birth, known parity, and unknown number of abortions was found to benefit from the Checklist intervention (OR : 0.70, 95%CI : 0.62-0.79, p < 0.001). Generally, the flexibility of our approach helps to answer subgroup-based queries in the broader global health domain, which also provides further insights to domain experts.

Indexed as

ChecklistDelivery, ObstetricFemaleHumansInfantInfant, NewbornParityPregnancyWorld Health Organization

Identifiers

PMID37128422
PMCPMC10148288
OpenAlexW3196152043

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.