Evidence map›Paper›PMID 33949803›Full record

ArticleBirth defects research2021

Global birth defects app: An innovative tool for describing and coding congenital anomalies at birth in low resource settings.

Helen Dolk, Aminkeng Zawuo Leke, Phil Whitfield, Rebecca Moore, Katy Karnell, Ingeborg Barišić, Linda Barlow-Mosha, Lorenzo D Botto, Ester Garne, Pilar Guatibonza and 7 more

Abstract read
In one paragraph

Article in Birth defects research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

17 authors.

Helen DolkCentre for Maternal, Fetal and Infant Research, Institute for Nursing and Health Research, Ulster University, Newtownabbey, United Kingdom.ORCID 0000-0001-6639-5904
Aminkeng Zawuo LekeCentre for Maternal, Fetal and Infant Research, Institute for Nursing and Health Research, Ulster University, Newtownabbey, United Kingdom.ORCID 0000-0001-7268-6820
Phil WhitfieldBiomedical Computing Ltd, East Sussex, United Kingdom.
Rebecca MooreCentre for Maternal, Fetal and Infant Research, Institute for Nursing and Health Research, Ulster University, Newtownabbey, United Kingdom.
Katy KarnellCentre for Maternal, Fetal and Infant Research, Institute for Nursing and Health Research, Ulster University, Newtownabbey, United Kingdom.
Ingeborg BarišićChildren's Hospital Zagreb, Centre of Excellence for Reproductive and Regenerative Medicine, Medical School University of Zagreb, Zagreb, Croatia.ORCID 0000-0002-9085-6747
Linda Barlow-MoshaThe Makerere University-John Hopkins University Research Collaboration, Kampala, Uganda.
Lorenzo D BottoInternational Center on Birth Defects (ICBD) of the International Clearinghouse for Birth Defects Surveillance and Research (ICBDSR), and Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.
Ester GarnePediatric Department, Hospital Lillebaelt Kolding, Kolding, Denmark.ORCID 0000-0003-0430-2594
Pilar GuatibonzaLatin American Collaborative Study of Congenital Malformations (ECLAMC), Bogotá, Colombia.
Shana Godfred-CatoNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA.ORCID 0000-0002-4106-0953
Christine M HalleuxUNICEF/UNDP/WB/WHO Special Program for Research & Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland.
Lewis B HolmesMedical Genetics and Metabolism Unit, MassGeneral Hospital for Children, Boston, Massachusetts, USA.ORCID 0000-0002-0259-4848
Cynthia A MooreNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA.ORCID 0000-0003-4224-2692
Ieda OrioliLatin American Collaborative Study of Congenital Malformations (ECLAMC), Rio de Janeiro, Brazil.ORCID 0000-0003-1863-6229
Neena RainaWorld Health Organization, Regional Office for South East Asia (WHO SEARO), New Delhi, India.
Diana ValenciaNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA.

Funding

Intramural CDC HHS CC999999World Health Organization 001
6 · The paper itself

Abstract

backgroundSurveillance programs in low- and middle-income countries (LMICs) have difficulty in obtaining accurate information about congenital anomalies.

methodsAs part of the ZikaPLAN project, an International Committee developed an app for the description and coding of congenital anomalies that are externally visible at birth, for use in low resource settings. The "basic" version of the app was designed for a basic clinical setting and to overcome language and terminology barriers by providing diagrams and photos, sourced mainly from international Birth Defects Atlases. The "surveillance" version additionally allows recording of limited pseudonymized data relevant to diagnosis, which can be uploaded to a secure server, and downloaded by the surveillance program data center.

resultsThe app contains 98 (88 major and 10 minor) externally visible anomalies and 12 syndromes (including congenital Zika syndrome), with definitions and International Classification of Disease v10 -based code. It also contains newborn examination videos and links to further resources. The user taps a region of the body, then selects among a range of images to choose the congenital anomaly that best resembles what they observe, with guidance regarding similar congenital anomalies. The "basic" version of the app has been reviewed by experts and made available on the Apple and Google Play stores. Since its launch in November 2019, it has been downloaded in 39 countries. The "surveillance" version is currently being field-tested.

conclusionThe global birth defects app is a mHealth tool that can help in developing congenital anomaly surveillance in low resource settings to support prevention and care.

Indexed as

Mobile ApplicationsZika VirusZika Virus InfectionHumansInfant, NewbornInternational Classification of Diseasesappcodingcongenital anomalyglobal healthsurveillance

Identifiers

PMID33949803
PMCPMC8349897

What OpenQuestion holds

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LicenceCC BY
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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.