Evidence map›Paper›PMID 29892089›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Introducing medical genetics services in Ethiopia using the MiGene Family History App.

Shane C Quinonez, Abate Yeshidinber, Michael A Lourie, Delayehu Bekele, Yemisrach Mekonnen, Balkachew Nigatu, Gesit Metaferia, Solomie Jebessa

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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shane C QuinonezDepartment of Pediatrics and Communicable Diseases, Division of Genetics, Metabolism and Genomic Medicine, University of Michigan, Ann Arbor, Michigan, USA. squinon@med.umich.edu.
Abate YeshidinberDepartment of Pediatrics and Child Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Michael A LourieUniversity of Michigan Medical School, Ann Arbor, Michigan, USA.
Delayehu BekeleDepartment of Obstetrics and Gynecology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Yemisrach MekonnenDepartment of Pediatrics and Child Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Balkachew NigatuDepartment of Obstetrics and Gynecology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Gesit MetaferiaDepartment of Pediatrics and Child Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Solomie JebessaDepartment of Pediatrics and Child Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlmost all low-income countries and many middle-income countries lack the capacity to deliver medical genetics services. We developed the MiGene Family History App (MFHA), which assists doctors with family history collection and population-level epidemiologic analysis. The MFHA was studied at St. Paul's Hospital in Addis Ababa, Ethiopia.

methodsA needs assessment was used to assess Ethiopian physicians' experience with genetics services. The MFHA then collected patient data over a 6-month period.

resultsThe majority of doctors provide genetics services, with only 16% reporting their genetics knowledge is sufficient. A total of 1699 patients from the pediatric ward (n = 367), neonatal intensive care unit (NICU) (n = 477), and antenatal clinic (n = 855) were collected using the MFHA with a 4% incidence of a MFHA-screened condition present. The incidence was 11.7% in the pediatric ward, 3% in the NICU, and 0.5% in the antenatal clinic. Heart malformations (5.5% of patients) and trisomy 21 (4.4% of patients) were the most common conditions in the pediatric ward.

conclusionMedical genetics services are needed in Ethiopia. As other countries increase their genetics capacity, the MFHA can provide fundamental genetics services and collect necessary epidemiologic data.

Indexed as

Genetic ServicesMedical History TakingMobile ApplicationsAdultChildEpidemiologic MethodsEthiopiaFemaleHumansMaleNeeds AssessmentPhysiciansSurveys and QuestionnairesCommunity geneticsFamily health historyGlobal healthMobile healthNoncommunicable diseases

Identifiers

PMID29892089

What OpenQuestion holds

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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.