Evidence map›Paper›PMID 37833686›Full record

ArticleBMC medical education2023

Strengthening capacity of health workers to diagnose birth defects in Ugandan hospitals from 2015 to 2021.

Joyce Namale-Matovu, Ronald Kusolo, Robert Serunjogi, Linda Barlow-Mosha, Daniel Mumpe-Mwanja, Natalia Niombi, Dennis Kalibbala, Dhelia Williamson, Diana Valencia, Cynthia A Moore and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 13% 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.

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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Joyce Namale-MatovuMakerere University, Johns Hopkins University Research Collaboration (MU-JHU), P.O. Box 23491, Kampala, Uganda. jmatovu@mujhu.org.
Ronald KusoloMakerere University, Johns Hopkins University Research Collaboration (MU-JHU), P.O. Box 23491, Kampala, Uganda.
Robert SerunjogiMakerere University, Johns Hopkins University Research Collaboration (MU-JHU), P.O. Box 23491, Kampala, Uganda.
Linda Barlow-MoshaMakerere University, Johns Hopkins University Research Collaboration (MU-JHU), P.O. Box 23491, Kampala, Uganda.
Daniel Mumpe-MwanjaMakerere University, Johns Hopkins University Research Collaboration (MU-JHU), P.O. Box 23491, Kampala, Uganda.
Natalia NiombiKawempe National Referral Hospital, Kampala, Uganda.
Dennis KalibbalaMakerere University, Johns Hopkins University Research Collaboration (MU-JHU), P.O. Box 23491, Kampala, Uganda.
Dhelia WilliamsonDivision of Global HIV and TB, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Diana ValenciaNational Center on Birth Defects and Developmental Disabilities, CDC, Atlanta, GA, USA.
Cynthia A MooreGoldbelt Professional Services, LLC, Chesapeake, VG, USA.
Kenneth MwambiDivision of Global HIV and TB, US CDC, Kampala, Uganda.
Lisa J NelsonDivision of Global HIV and TB, US CDC, Kampala, Uganda.
Phoebe Monalisa Namukanja-MayambalaDivision of Global HIV and TB, US CDC, Kampala, Uganda.
Jennifer L WilliamsNational Center on Birth Defects and Developmental Disabilities, CDC, Atlanta, GA, USA.
Cara T MaiNational Center on Birth Defects and Developmental Disabilities, CDC, Atlanta, GA, USA.
Yan Ping QiNational Center on Birth Defects and Developmental Disabilities, CDC, Atlanta, GA, USA.
Philippa MusokeMakerere University, Johns Hopkins University Research Collaboration (MU-JHU), P.O. Box 23491, Kampala, Uganda.
MUJHU Research Collaboration · UGNational Center on Birth Defects and Developmental Disabilities · USCenters for Disease Control and Prevention · UGCenters for Disease Control and Prevention · USMakerere University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited diagnostic capabilities, resources and health worker skills have deterred the advancement of birth defects surveillance systems in most low- and middle-income countries (LMICs). Empowering health workers to identify and diagnose major external birth defects (BDs) is crucial to establishing effective hospital-based BD surveillance. Makerere University-Johns Hopkins University (MU-JHU) Research Collaboration BD Surveillance System consists of three diagnostic levels: (1) surveillance midwives, (2) MU-JHU clinical team, and (3) U.S. Centers for Disease Control and Prevention (CDC) birth defects subject matter experts (SMEs) who provide confirmatory diagnosis. The diagnostic concordance of major external BDs by surveillance midwives or MU-JHU clinical team with CDC birth defects SMEs were estimated.

methodsStudy staff went through a series of trainings, including birth defects identification and confirmation, before surveillance activities were implemented. To assess the diagnostic concordance, we analyzed surveillance data from 2015 to 2021 for major external BDs: anencephaly, iniencephaly, encephalocele, spina bifida, craniorachischisis, microcephaly, anophthalmia/microphthalmia, anotia/microtia, cleft palate alone, cleft lip alone, cleft lip with cleft palate, imperforate anus, hypospadias, talipes equinovarus, limb reduction, gastroschisis, and omphalocele. Positive predictive value (PPV) as the proportion of BDs diagnosed by surveillance midwives or MU-JHU clinical team that were confirmed by CDC birth defects SMEs was computed. PPVs between 2015 and 2018 and 2019-2021 were compared to assess the accuracy of case diagnosis over time.

resultsOf the 204,332 infants examined during 2015-2021, 870 infants had a BD. Among the 1,245 BDs identified, 1,232 (99.0%) were confirmed by CDC birth defects SMEs. For surveillance midwives, PPV for 7 of 17 BDs was > 80%. For the MU-JHU clinical team, PPV for 13 of 17 BDs was > 80%. Among surveillance midwives, PPV improved significantly from 2015 to 2018 to 2019-2021, for microcephaly (+ 50.0%), cleft lip with cleft palate (+ 17.0%), imperforate anus (+ 30.0%), and talipes equinovarus (+ 10.8%). Improvements in PPV were also observed among MU-JHU clinical team; however, none were significant.

conclusionThe diagnostic accuracy of the midwives and clinical team increased, highlighting that BD surveillance, by front-line health care workers (midwives) in LMICs is possible when midwives receive comprehensive training, technical support, funding and continuous professional development.

Indexed as

Anus, ImperforateCleft LipCleft PalateClubfootMicrocephalyHospitalsHumansMaleUgandaBirth defectsCapacity buildingMidwivesSurveillanceUganda

Identifiers

PMID37833686
PMCPMC10576368
OpenAlexW4387613214

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.