Evidence map›Paper›PMID 40017859›Full record

ArticleBMJ public health2023

Capability and feasibility of the Global Alignment of Immunisation Safety Assessment in pregnancy criteria for the assessment of pregnancy and birth outcomes in Kinshasa, Democratic Republic of the Congo: a prospective cohort study.

Patrick J Arena, Adva Gadoth, Dalau Mukadi Nkamba, Camille Dzogang, Nicole Hoff, Angelica L Barrall, David Kampilu, Michael Beia, Hui-Lee Wong, Steven Anderson and 2 more

Abstract read
In one paragraph

Article in BMJ public health, 2023. 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.

  1. Review
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

12 authors.

Patrick J ArenaDepartment of Epidemiology, University of California Los Angeles Jonathan and Karin Fielding School of Public Health, Los Angeles, California, USA.ORCID 0000-0003-3024-771X
Adva GadothDepartment of Epidemiology, University of California Los Angeles Jonathan and Karin Fielding School of Public Health, Los Angeles, California, USA.
Dalau Mukadi NkambaKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Camille DzogangUCLA-DRC Health Research and Training Program, Kinshasa, Democratic Republic of the Congo.
Nicole HoffDepartment of Epidemiology, University of California Los Angeles Jonathan and Karin Fielding School of Public Health, Los Angeles, California, USA.ORCID 0000-0002-1770-6304
Angelica L BarrallDepartment of Epidemiology, University of California Los Angeles Jonathan and Karin Fielding School of Public Health, Los Angeles, California, USA.
David KampiluUCLA-DRC Health Research and Training Program, Kinshasa, Democratic Republic of the Congo.
Michael BeiaUCLA-DRC Health Research and Training Program, Kinshasa, Democratic Republic of the Congo.
Hui-Lee WongOffice of Biostatistics and Pharmacovigilance, US Food and Drug Administration, Silver Spring, Maryland, USA.
Steven AndersonOffice of Biostatistics and Pharmacovigilance, US Food and Drug Administration, Silver Spring, Maryland, USA.
Didine KabaKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Anne W RimoinDepartment of Epidemiology, University of California Los Angeles Jonathan and Karin Fielding School of Public Health, Los Angeles, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is an urgent need to investigate the capabilities of active surveillance in strengthening the development of pharmacovigilance (PV) systems in low-resource settings. Here, we assess the capability and feasibility of prospectively collected data to document maternal immunisation and adverse birth outcomes across delivery centres in Kinshasa, Democratic Republic of the Congo (DRC) according to the Global Alignment of Immunisation Safety Assessment in pregnancy (GAIA) definitions. Methods: We conducted a facility-based prospective cohort study that enrolled mothers via convenience sampling either during their antenatal care visit or following their delivery. Demographic and clinical information as well as postpartum details related to the index pregnancy were collected after delivery; all mothers were also contacted via telephone 30 days postdelivery to determine if certain outcomes occurred after health facility discharge. Adverse birth outcomes of interest and maternal tetanus immunisation were categorised according to the GAIA criteria, and the level and impact of loss to follow-up (LTFU) was also evaluated. Results: The study population consisted of 2675 mothers. The proportion of adverse birth outcomes ranged from 1.6% (for neonatal death) to 15.8% (for small for gestational age). Evidence of maternal tetanus immunisation during the index pregnancy was found for 637 mothers of newborns with any adverse birth outcome. GAIA diagnostic certainty was high for low birth weight and preterm birth, but much lower for stillbirth and neonatal bloodstream infections. Additionally, LTFU was high: only 47.9% of all mothers were successfully followed up via phone call. Conclusion: Our investigation highlighted some of the challenges associated with the utilisation of the GAIA criteria in (prospective) observational studies within health facilities in Kinshasa, DRC (eg, data quality, LTFU and selection bias). Nevertheless, active surveillance remains a promising tool for future PV activities in DRC and beyond.

Indexed as

epidemiologic research designpharmacoepidemiologypharmacovigilancepopulation surveillancepublic health

Identifiers

PMID40017859
PMCPMC11812695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.